IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
D.V.LALITA PARAMESWARI, DR. M.SEETHA, K. RAGHA DEEPIKA Sr.Asst. Professor, Dept.of CSE, GNITS, Hyderabad, India Professor, Dept.of CSE, GNITS, Hyderabad, India M.Tech Student, Dept.of CSE, GNITS, Hyderabad, India
TUSHANT A. KOHALE, DR. S.D. CHEDE, PROF. P.R.LAKHE Department of Electronics (Comm. Engg.), S. D. College of Engg. Wardha, India Depatment of Electronics & Telecom. Engg., Om College of Engg. Wardha, India Department of Electronics (Comm. Engg.), S. D. College of Engg. Wardha, India
JYOTSHANA KANTI, ANUBHOOTI PAPOLA Master of Technology, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India Assistant Professor, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India
SINDHU D.V, Dr. B.M.SAGAR, Mr. RAJASHEKAR MURTHY S Department of ISE, R V College of Engineering, Karnataka, India Department of ISE, R V College of Engineering, Karnataka, India Department of ISE, R V College of Engineering, Karnataka, India
G.SREEDHAR KUMAR, P.C.PRAVEEN KUMAR, B.A.SARATH MANOHAR BABU, B.NARESH BABU Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India
SRINATH N.K, USHA B.A, NARAYAN K, TUSHARA.C.K Professor and Dean PG Studies, Department of CSE, RVCE, Bangalore, India Assistant Professor, Department of CSE, RVCE, Bangalore, India M.Tech Student, Department of CSE, RVCE, Bangalore, India M.Tech Student, Department of CSE, RVCE, Bangalore, India
MR. N.SAI PAVAN, MR. RAMAVENKATESWARAN.N M.TECH, RV College of Engineering, Bangalore, India Assistant Professor, RV College of Engineering, Bangalore, India
SARITH DIVAKAR M, ASHINA THOLIYIL Lecturer, Computer Engineering, College of Applied Science, Kozhikode, India Lecturer, Computer Science, College of Applied Science, Kozhikode, India
DR. B.R.PRASAD BABU, MR. JAYA KUMAR B.L, MR. BHARATESH.V.R Professor and HOD, Dept. of CSE, SEA College of Engineering & Technology, Bangalore Assistant Professor, Department of CSE, SEA College of Engineering & Technology, Bangalore M.Tech IV Sem, CSE, SEA College of Engineering & Technology, Bangalore
DIMPI RANI, RAJIV KUMAR RANJAN M.Tech (CSE) Student, Arni University, Indora, Kangra, India Assistant Professor, Department of CSE, Arni University, Indora, Kangra, India
SUNIL KUMAR, ASHISH CHAUDHARY, N.S.BENIWAL M.Tech Student, ECE, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India M.Tech Student, ECE, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India Assistant Professor, ECE, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India
CHANNAKRISHNARAJU, DR. M.SIDDAPPA Research Scholar, Sri Siddhartha Academy of Higher Education [SSAHE], Tumkur, India Professor & Head, Department of CS & SSIT, Tumkur, India
MS. RAJESHWARI RASAL, PROF. N.M.SHAHANE PG Student, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India Professor, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India
BHUSHAN LAL BANCHHOR, MRS. TRIPTI SHARMA M. Tech. Scholar, Software Engineering (CSE), Rungta College of Engineering & Technology, Kohka, Bhilai Associate professor, Department of Computer Science Engineering, Rungta College of Engineering & Technology, Kohka, Bhilai
S.MAFLIN SHABY, M.S.GODWINPREMI, BETTY MARTIN Assistant Professor, Department of Electronics and Telecommunication Engg, Sathyabama University, Chennai, India Professor, Department of Electronics and Telecommunication Engg, Sathyabama University, Chennai, India Professor, Department of Electronics and Control Engg, Sathyabama University, Chennai, India
L.SUNITHA, DR M.BALRAJU, DR J.SASIKIRAN, E.VENKAT RAMANA Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Malla Reddy College of Engineering, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India
ASHISH KUMAR RAY, MR. AJAY KUSHWAHA M.Tech. scholar, Department of CSE, RCET, Bhilai, India Associate Professor, Department of CSE, RCET, Bhilai, India
ANNIE JENNIEFER, JOHN RAYBIN JOSE M.Phil, Scholar, Department of Computer Applications, Bishop Heber College (Autonomous), Trichy Asst. Professor & Head, Department of Information Technology, Bishop Heber College (Autonomous), Trichy
VENKATESWARA RAO PALLIPAMU, THAMMI REDDY K, SURESH VARMA P Associate professor, Department of Computer Science, Adikavi Nannaya University, Rajahmundry, India Professor, Department of Computer Science and Engineering, GITAM University, Visakhapatnam, India Professor, Department of Computer Science, Adikavi Nannaya University, Rajahmundry, India
KUMARASWAMY N, MAHESH B NELAGAR PG Student, VLSI Design and Embedded systems, PG Study centre VTU, Belgaum, India Asst. professor, VLSI Design and Embedded systems, PG Study centre VTU, Belgaum, India
NUPUR GUPTA, SANJEEV THAKUR Researcher, Department of Computer Science, Amity University, Noida, U.P, India Professor, Department of Computer Science Amity University, Noida, U.P, India
SANA, DR. RAVINDRA KUMAR Department of Computer Engineering, Al-Falah School of Engineering & Technology, Haryana, India Ex-Director General, VGI Dadri
PRAVEEN KUMAR, DR VIJAY SINGH RATHORE Research Scholar, Department of Computer Science, NIMS University, Jaipur, India Professor & Director, Shri Kami College, Jaipur, Rajasthan, India
SUDHIN S, JAYALAKSHMI D.S, VEENA G.S P.G Student, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Associate Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Assistant Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India
RINKU KALOTRA, SH. ANIL SAGAR M.Tech Student, Punjab Technical University, Beant College of Engineering and Technology, Gurdaspur, India Assistant Professor, IT Department, Beant College of Engineering and Technology, Gurdaspur, India
MS.SNEHAL B CHAUDHARI, PROF.N.M.SHAHANE ME Student, Department of Computer Engineering, KKWIEER, Nashik, India Professor, Department of Computer Engineering, KKWIEER, Nashik, India
SURAJ S JEERAGAL, K.R.PRASANNAKUMAR Student, M.Tech 2nd year, Department Of Computer Science, Siddaganga Institute of Technology, Tumkur, India Assistant professor, Department Of Computer Science, Siddaganga Institute of Technology, Tumkur, India
ONKAR S. KATAGI, JAYALAKSHMI D S, VEENA G S M.Tech, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Associate professor, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India
R PRAVEEN, GOVINDA RAJU M M.Tech Student, Department of Electronics and Communication Engineering, RVCE, Bangalore, India Assistant Professor, Department of Electronics and Communication Engineering, RVCE, Bangalore, India
KAVYA.R, SEEMA.S PG Student, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Associate Professor, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India
NOORANDAYYA R SWAMY, DR. D.R.SHASHI KUMAR Student- M.Tech, Department of CS&E Cambridge Institute of Technology, Bangalore, India HOD, Department of CS&E, Cambridge Institute of Technology, Bangalore, India
RAJNIKANTH, DR.ROHINI NAGAPADMA M.Tech Student, Electrical& Electronics Engineering, NIE Mysore, India Professor, Electronics & Communication Engineering, NIE Mysore, India
RASHMI.M, SEEMA.S, AISHWARYA CAUVERAMMA P.N, BHANUSREE ESWARAPPA Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Department of Computer Science & Engineering, KVG College of Engineering, Sullia, India Department of Information Science & Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India
CHHAMMAN SAHU, RAJKUMAR SAHU ME Student, Dept. of ECE, Chhattrapati Shivaji Institute of Technology, Durg, Chhattisgarh, India Associate professor, Dept. of ECE, Chhattrapati Shivaji Institute of Technology, Durg, Chhattisgarh, India
S.DEVI, K.KANAGARAM, V.PALANISAMY Research Scholar, Computer Science & Engineering, Alagappa University, Karaikudi, India Research Scholar, Computer Science & Engineering, Alagappa University, Karaikudi, India Professor & Head, Computer Science & Engineering, Alagappa University, Karaikudi, India
N.P.SONAWANE, S.B.BORSE PG Student, Dept. Of E & TC, L. G. N. Sapkal COE, Nashik, India Faculty, Dept. Of E & TC, L. G. N. Sapkal COE, Nashik, India
SWAPNIL G.PATIL, MAYANK BHATT M.Tech Scholar, Computer Science & Engineering, Rishiraj Institute of Technology, Indore, India Assistant Professor, Computer Science & Engineering, Rishiraj Institute of Technology, Indore, India
SUKANYA S. GAWADE, GYANKAMAL J.CHHAJED ME student, Department of Computer Engineering, VPCOE, Baramati, Pune university, India Assistant Professor, Department of Computer Engineering, VPCOE, Baramati, Pune university, India
AMIT SINGH GAUR, JYOTI BUDAKOTI Department of Electronics & Communication Eng., G.B.Pant Engineering College, Pauri-Garhwal, Uttarakhand India Department of Computer Science & Engineering, G.B.Pant Engineering College, Pauri-Garhwal, Uttarakhand India
PAYAL MAHAJAN, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Electronics Department, Guru Nanak Dev university, Amritsar, India Assistant professor, ECE Department, Regional Campus Guru Nanak Dev university, Sultanpur Lodhi, India Assistant professor, Electronics Department, Guru Nanak Dev university, Amritsar, India
ANJAN K, ABHIJITH C, ARUNRAJ, DEEKSHITH N, JIBI ABRAHAM Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of CEIT, College of Engineering, Pune, India
PARVEEN KHAN, DR. SURENDRA KUMAR YADAV, DR. AJEET SINGH M.tech Research Scholar, Department of Computer Science, JECRC University, Jaipur, India Associate Professor, Computer Science Department, JECRC University, Jaipur, India MD(Internal Medicine) consultant physician Division of Allergy and Pulmonary Medicine, Department of Medicine, SMS Medical College, Jaipur, India
G.VANITHA, MR. A.BALA SUBRAMANIAN Research Scholar, Department of Computer Science, SNR Sons College, Coimbatore, India Associate Professor, Department of Information Technology, SNR Sons College, Coimbatore, India
SANDEEP KUMAR E, G.P.MOHANRAJ, RAGHUCHANDRA R.GOUDAR M.Tech Student, Department of Telecommunication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India B.E. Student, Department of Instrumentation Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India B.E. Student, Department of Instrumentation Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India
VIKAS, ER.BALJINDER KAUR, KRISHAN SHERDIA M.Tech Student, ECE Department, G.G.S College of Engineering & Technology, Talwandi Sabo, India Assistant Professor, ECE Department, G.G.S College of Engineering & Technology,Talwandi Sabo, India Assistant Professor, ECE Department, JCDM College of Engineering, Sirsa, India
CHINNABBAIAH R, MANJUNATHA C, POONAM G HOD, Computer Science & Engineering, KJTET Polytechnic, Mulbagal, India Lecturer, Computer Science & Engineering, KJTET Polytechnic, Mulbagal, India Assistant Professor, Computer Science & Engineering, R.V. College of Engineering, Bangalore, India
SHRUTI M. RAKHUNDE, ARCHANA A. NIKOSE M.Tech Student, CSE, Priyadarshini Bhagwati College of Engineering, Nagpur, India Assistant Professor, CSE, Priyadarshini Bhagwati College of Engineering, Nagpur, India
ANKITA SAINI, NEELAM SAINI, PRACHI M.Tech Scholar, Electronics and Communication Department, D.C.R.U.S.T, Murthal, Sonipat, India M.Tech, Electronics and Communication Department, D.C.R.U.S.T, Murthal, Sonipat, India Assistant Professor, Electronics and Communication Department, D.C.R.U.S.T., Murthal, Sonipat, India
ABHAYA, KAUSHAL KUMAR, RANJEETA JHA, SUMAIYA AFROZ M.Tech (IS), Department of Computer Scince & Engineering, Birla Institute of Technology, Mesra (Ranchi), India M.Tech (SE), Department of Software Engineering, Delhi Technological University, Delhi, India M.Tech (IS), Department of Computer Scince & Engineering, Birla Institute of Technology, Mesra (Ranchi), India M.Tech (IS), Department of Computer Scince & Engineering, Birla Institute of Technology, Mesra (Ranchi), India
K.VIVEKANANDAN, RAJKUMAR BHOJAN, SUBRAMANIAN GANESAN Professor, BSMED, Bharathiar University, Coimbatore, India Test Architect, Wipro Technologies, Bangalore, India Professor, Electrical & Comp. Engineering, Oakland University, Rochester, MI, USA
DR. B.V.RAMANA MURTHY, PROF. VUPPU PADMAKAR, MS. A.VASAVI Department of CSE Jyotishmathi College of Technology and Science, Shamirpet, Hyderabad, India Department of CSE, Chilkur Balaji Institute of Technology, Aziz nagar, Hyderabad, India Department of CSE Jyotishmathi College of Technology and Science, Shamirpet, Hyderabad, India
VARUN C R, R.SRINIVASAN PG Student, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Professor, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India
RASHMI G.P, NIRMALA.L P G Scholar, VLSI Design and Embedded systems, RITM, Bangalore, India Senior Assistant Professor, Electronics and Communication Engineering, RITM, Bangalore, India
GURBAZ SINGH, JASWINDER KAUR Student, Electronics and Communication Engineering Department, Thapar University, Patiala, India Lecturer, Electronics and Communication Engineering Department, Thapar University, Patiala, India
NAVPREET KAUR, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Department of Electronics Technology, GNDU, Amritsar, India Assistant Professor, Department of ECE, Regional Campus GNDU, Sulatnpur Lodhi, India Assistant Professor, Department of Electronics Technology, GNDU, Amritsar
PARMINDER KAUR, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India Assistant Professor, Department of ECE, Regional Campus Guru Nanak Dev University, Sulatnpur Lodhi, India Assistant Professor, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India
GOURAV HANS, JASWINDER KAUR Student, Electronics and Communication Engineering Department, Thapar University, Patiala, India Lecturer, Electronics and Communication Engineering Department, Thapar University, Patiala, India
SAMEERA KHAN, AVINASH DHOLE M-Tech Scholar, Department of Computer Science and Engineering, RITEE, Raipur, India Associate Professor, Department of Computer Science and Engineering, RITEE, Raipur, India
P.SAMUNDISWARY, G.R.K.SAI TEJA Assistant Professor, Department of Electronics Engineering, Pondicherry University, Pondicherry, India M.Tech. Student, Department of Electronics Engineering, Pondicherry University, Pondicherry, India
REVANASIDDA, R.P.RAJESHWARI IV Semester, M.Tech., Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India M.Tech(CSE) Lecturer, Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India
NAVEEN KUMAR H, NAGESH BABU IV Semester, M.Tech., Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India Assistant Professor, Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India
AVTAR SINGH, ER. AMRIT KAUR Student of Department of Electronics and Communication Engineering, Punjabi University, Patiala, India Faculty of Department of Electronics and Communication Engineering, Punjabi University, Patiala, India
SHAIK MAZHAR HUSSAIN, SHAIK JHANI BHASHA Assistant Professor, ECE, MJCET, Hyderabad, India Assistant Professor, ECE, Gitam University, Hyderabad, India
V.S.MALEMATH, A.H.KULKARNI, H.MALLIKARJUN Department of CSE, KLE DR. M.S. Sheshgiri College of Engineering & Technology, Belgaum, Karnataka, India Department of CSE, KLS’s Gogte Institute Technology, Belgaum, Karnataka, India Department of CSE, KASCC, Bidar, Karnataka, India
BISWAJIT GHOSH, VISHAL KUMAR, SONAL KUMAR KESHRI, ABHISEK ROY Assistant Professor, Dept of ECE, Birbhum Institute of Engineering & Technology, India B.Tech Student, Dept of ECE, Birbhum Institute of Engineering & Technology, India B.Tech Student, Dept of ECE, Birbhum Institute of Engineering & Technology, India B.Tech Student, Dept of ECE, Birbhum Institute of Engineering & Technology, India
REDDY SANTOSH KUMAR, B. SREEPATHI M.Tech pursuing, Department of Computer Science and Engineering, RYMEC, Bellary, Karnataka, India Asst. professor & HOD, Department of Information Science and Engineering, RYMEC, Bellary, Karnataka, India
JOSEPH HUDSON.B, DR. MEERA GANDHI Research Scholar, Department Of Computer Science And Engineering, Sathyabama University, Chennai, India Professor, Department Of Computer Science And Engineering, Sathayabama University, Chennai, India
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Abstract
Fuzzy Bayesian Classification for Spatial Data Streams with p-trees
D.V.LALITA PARAMESWARI, DR. M.SEETHA, K. RAGHA DEEPIKA Sr.Asst. Professor, Dept.of CSE, GNITS, Hyderabad, India Professor, Dept.of CSE, GNITS, Hyderabad, India M.Tech Student, Dept.of CSE, GNITS, Hyderabad, India
Abstract: Enormous amount of geographic data have been and continuously being collected with the advent of modern data acquisition systems like remote sensing, Global positioning system etc. To efficiently process this data, there is a great need to extract the hidden knowledge from these spatial data streams which are unpredictably large in size, complexity and dimensionality. To address these challenges, spatial data mining and geographic knowledge discovery has emerged as an active research field, focusing on the development of theory, methodology, and practice for the extraction of knowledge and useful information from massive and highly complex spatial data streams. This paper emphasizes on Bayesian classification for spatial data. Bayesian is combined with a new data structure called peano count tree for compressing the spatial data, enhancing the scalability and reducing the classifier build time. A new technique called Fuzzy Bayesian is introduced which dramatically increased the performance of the Bayesian classifier. It is ascertained that the accuracy has been improved by Fuzzy Bayesian method with P-trees.
Keywords: Spatial data, Raster format, Bayesian classification, Fuzzy Bayesian classification, Peano Count Tree, bit sequential format (bSQ), Band sequential format(BSQ).
Forgery Detection Technique Based on Block and Feature Based Method
TUSHANT A. KOHALE, DR. S.D. CHEDE, PROF. P.R.LAKHE Department of Electronics (Comm. Engg.), S. D. College of Engg. Wardha, India Depatment of Electronics & Telecom. Engg., Om College of Engg. Wardha, India Department of Electronics (Comm. Engg.), S. D. College of Engg. Wardha, India
Abstract: Digital images are the most important source of information. The availability of powerful digital image processing software’s, makes it relatively easy to create as well as manipulate and make digital forgery from one or multiple images. In today’s world it is easy to developed the image forgery by adding or removing some elements from the image which result in a of image tampering. A copy-move forgery is created by copying and pasting content within the same image, and post-operating it. The detection of copy-move forgeries has become one of the most actively researched topics in image forensics department. The key objectives of the proposed method is to study the effect of different types of tampering on the digital image, detect image forgery by copy-move under many types of attacks by combining block-based and feature based method and accurately locating the duplicated region.
Keywords: image, image forgery, copy-move image forgery detection, block and feature based methods.
Enhance data security of private cloud using encryption scheme with RBAC
DIMPI RANI, RAJIV KUMAR RANJAN M.Tech (CSE) Student, Arni University, Indora, Kangra , India Assistant Professor, Dept. Of CSE, Arni University, Indora, Kangra, India
Abstract: Cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet. Cloud Computing is an emerging paradigm which has become today’s hottest research area due to its ability to reduce the costs associated with computing. Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services are became very remarkable. Securing data is a challenging issue in today’s era. Most of the data travel over the internet and it becomes difficult to make data secure. The prevalent Problem Associated with Cloud Computing is the Cloud security and the appropriate Implementation of Cloud over the Network. In this Research Paper we are using a combination of Blowfish Algorthim, RSA and Digital Signature for improving the Security.
Keywords: Cloud Computing , Internet, Role Back Access Control, Blowfish Algorthim, RSA and Digital Signature.
Optimization of Energy by using IWD Algorithm in WSN
NAVJOT SINGH, PARMINDER KAUR CSE Department, Chandigarh University, Gharuan, Punjab, India CSE Department, Chandigarh University, Gharuan, Punjab, India
Abstract: WSN (Wireless Sensor networks) is one of important wide spread networks that are effective in recent years because of the involvement of the network in terms of electronics, communication and information technology in the single network. Energy efficiency is the most required quality in a sensor network as each node consumes some energy with each transmission over the network. Energy optimization is required to improve the lifetime of network. In this paper, PEGASIS routing protocol is presented to optimize the energy by implementing IWD (Intelligent Water Drop) algorithm. This proposed IWD algorithm optimize its routing criteria by selecting the shortest path so that the energy which is involved inside the network can be optimized and thus increases the lifetime of wireless sensor network. Experimental results show that by using PEGASIS and IWD, energy consumption, throughput and packet overhead can be optimized.
Keywords: Wireless Sensor Networks, IWD (Intelligent Water Drop) algorithm, Energy Optimization, PEGASIS (Power Efficient Gathering in Sensor Information Systems)
Smart Attendance using Face Recognition with Percentage Analyzer
JYOTSHANA KANTI, ANUBHOOTI PAPOLA Master of Technology, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India Assistant Professor, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India
Abstract: Smart Attendance system is a smart way of marking attendance. It replaces the old hectic and time consuming methods of marking attendance by a smart way which makes use of face recognition technique for marking attendance. In our work we have introduced a new method which uses PCA with Artificial Neural Network for the purpose of face recognition in Attendance management. Additional to it we also introduce a function which will analyze the percentage of attendance for a student and help him manage his leaves.
Keywords: Face recognition, Feature extraction, Principal component Analysis (PCA), Artificial Neural networks (ANN), Back propagation algorithm.
SINDHU D.V, Dr. B.M.SAGAR, Mr. RAJASHEKAR MURTHY S Department of ISE, R V College of Engineering, Karnataka, India Department of ISE, R V College of Engineering, Karnataka, India Department of ISE, R V College of Engineering, Karnataka, India
Abstract: Machine Translation is the branch of computational linguistics which deals the use of computer software to translate from one natural language to another natural language. The research in the field of Machine Translation has been going on from past few decades but the promising translation work is done from 1990s.Even with advanced research in artificial intelligence and computational linguistics the machines fail to produce the promising translation automatically. So to improve the quality of the translation there is need of machine aid or human aid. This paper focuses on mainly four sections. The first section deals with the introduction the machine translation and the second section deals with the brief history and the third section deals with the machine translation approaches and the last section deals with the existing systems.
Keywords: Computational linguistics, Machine Translation, Machine aid, Human aid
G.SREEDHAR KUMAR, P.C.PRAVEEN KUMAR, B.A.SARATH MANOHAR BABU, B.NARESH BABU Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India Assistant Professor, Department of ECE, G.PULLAIAH College of Engg & Technology, Kurnool, AP, India
Abstract: The microstrip antenna finds its place in varied and upcoming technologies because it offers low profile, narrow bandwidth, high gain, and compact antenna element. The biggest disadvantage of microstrip antenna is its narrow bandwidth and poor impedance matching capacity. To make microstrip antenna compatible with commercial applications, the bandwidth enhancement and impedance matching of such antennas has to be done. The impedance matching of antenna depends upon type and position of the feed because impedance matching of source at the feeding point of antenna is very important for efficient operation of antenna. In order to improve the impedance matching a dual staircase shaped microstrip patch antenna is used in this paper. The dual staircase patch is fed with a coaxial feed technique. By using IE3D software, the simulated results gives good impedance matching and the bandwidth obtained is 6% at 3.79GHz frequency. The proposed antenna which comes under S-Band (2-4GHz) of microwaves can be used in RADAR applications like weather radar, surface ship radar, and some communications satellites.
Analysis of Data Embedding Technique in Image Steganography – A Survey
SRINATH N.K, USHA B.A, NARAYAN K, TUSHARA.C.K Professor and Dean PG Studies, Department of CSE, RVCE, Bangalore, India Assistant Professor, Department of CSE, RVCE, Bangalore, India M.Tech Student, Department of CSE, RVCE, Bangalore, India M.Tech Student, Department of CSE, RVCE, Bangalore, India
Abstract: Steganography is an art and science of secure information communication where the secret data or confidential data is hidden in host file. It is used in different useful applications like secure data communication, healthcare and military. Confidential information’s are commonly stored in digital media and transmitted via internet due to the rapid growth of internet. If the information’s in images are altered then this may lead to wrong assumptions. Certain medical applications require information exchange over an insecure network where a small piece of medical information is modified intentionally for certain illegal purpose which may lead to wrong diagnosis. Therefore protection of integrity, reliability and confidentiality of the secret data in images are the important issues. To protect the secret information cryptography technique can be used where the secret data is altered, even if the attackers get to know the data it won’t be of any use without knowing the algorithm. According to the survey not all issues are satisfied by the single method. In this paper a survey is made on the data hiding and Steganography methods.
Keywords: Medical Image, Steganography, cryptography, data hiding, soft computing, fuzzy logic.
Modelling Of the Stabilization and Tracking Control System for Antenna
MR. N.SAI PAVAN, MR. RAMAVENKATESWARAN.N M.TECH, RV College of Engineering, Bangalore, India Assistant Professor, RV College of Engineering, Bangalore, India
Abstract: In order to speed up the data rate, the antennas are required to operate at higher radio frequencies. The increased frequency requires more precise antenna pointing system and the need of pointing control is to counter act the effect of external disturbances which includes wind gust, terrain profile etc. All these factors demand an embedded system engineer to design a more accurate antenna control system. This paper describes the control system engineering principles used in designing, testing and implementing, a control and measurement system on an antenna. The control system is modelled to monitor and control the antenna in elevation (Vertical axis) and azimuth (Horizontal axis). The system is also stabilized with the help of level sensor.
Keywords: Antenna, control system, elevation, azimuth
Evaluation of Mutation Strategy Performance in Memetic Algorithm
M.NANDHINI Department of Computer Science, Pondicherry University, Puducherry, India
Abstract: Memetic algorithm generates solutions to optimization problems using techniques inspired by natural evolution like genetic algorithm and local search. Our motivation is the application of evolutionary algorithms for solving real-world optimization problems. In this work, a new concept called gene tuning is introduced which associates with mutation for solving the multi objective soft constrained combinatorial problems. Also, various strategies of mutation regarding the selection of soft constraints are introduced and investigated. To achieve this, experiments are conducted on course timetabling problem. The discussion on the experimental results gives an indication towards promising mutation for practical application.
SARITH DIVAKAR M, ASHINA THOLIYIL Lecturer, Computer Engineering, College of Applied Science, Kozhikode, India Lecturer, Computer Science, College of Applied Science, Kozhikode, India
Abstract: Biggest challenges long-faced by todays applications are unit growth of knowledge. Quantity of knowledge created and consumed is growing in size. It will increase further when complexity of application increases. Centralized solutions for storing and retrieving data aren't possible for several reasons. First reason is that the inability to scale as and once required. Single purpose of failure hinders handiness of the applications and therefore reducing potency. Owing to these shortcomings of centralized systems we move towards data grids. Data grids act as a middleware which will store massive set of data across distributed applications. Data grids distribute large sets of data across a group of servers over a network, therefore forming a cluster. Middleware ought to be ready to serve numerous platforms and storage systems. Data grids have to be compelled to be optimized to scale go in environments that manufacture and use large amounts of data. Infinispan is that the resolution that has of these options.
Keywords: Infinispan, data grid, data structure, NoSQL
An intelligent android Mobile based real time Ads tracking System
DR. B.R.PRASAD BABU, MR. JAYA KUMAR B.L, MR. BHARATESH.V.R Professor and HOD, Dept. of CSE, SEA College of Engineering & Technology, Bangalore Assistant Professor, Department of CSE, SEA College of Engineering & Technology, Bangalore M.Tech IV Sem, CSE, SEA College of Engineering & Technology, Bangalore
Abstract: Rapid expansion of wireless technologies has provided a platform to support intelligent systems in the domain of mobile marketing. Utilizing Location Based Services and Global Navigational Satellite Systems provides the capability for transport of real-time, scheduled, location-based advertising to individuals and businesses. This paper introduces location-based marketing and iMAS, a related novel intelligent mobile advertising system. Following an overview of location technologies, the iMAS prototype is presented. Evaluation is discussed as well as the testing strategy, results and open research questions.
Cloud Computing Concepts, Securities issues, and its techniques
DIMPI RANI, RAJIV KUMAR RANJAN M.Tech (CSE) Student, Arni University, Indora, Kangra, India Assistant Professor, Department of CSE, Arni University, Indora, Kangra, India
Abstract: “Cloud” computing – a relatively recent term, provides virtualization, distributed computing, utility computing, and more recently networking, web and software services. It defines the paths ahead in computer science world. Cloud facilitates its users by providing virtual resources via internet and helps to increases its capacity or add capabilities to create new infrastructure .It extends Information Technology’s (IT) existing capabilities. In the last few years, cloud computing becomes the fast growing segments of the IT industry. But many organization and individuals companies are placed in the cloud, concerns are beginning to grow about just how safe an environment it is. Security is one of the major issues which reduces the growth of cloud computing Users of cloud save their data in the cloud hence the lack of security in cloud can lose the user’s trust .This paper discusses the concept of “cloud” computing, its securities issues its technology it tries to address, challenges and possible applications. This paper is not only a clear picture of what the cloud does extremely well and a brief overview of them, but also describes their benefits. criteria and challenges ahead of them. Cloud computing is another name for Internet computing
Design and Bandwidth Enhancement of V-slot loaded Rectangular Microstrip Patch Antenna for Broadband Applications
SUNIL KUMAR, ASHISH CHAUDHARY, N.S.BENIWAL M.Tech Student, ECE, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India M.Tech Student, ECE, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India Assistant Professor, ECE, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India
Design of Memetic Algorithm to Enhance Coverage in Wireless Sensor Networks with Minimum Number of Sensors
CHANNAKRISHNARAJU, DR. M.SIDDAPPA Research Scholar, Sri Siddhartha Academy of Higher Education [SSAHE], Tumkur, India Professor & Head, Department of CS & SSIT, Tumkur, India
Abstract: Wireless sensor networks are a rapidly growing area for research & development. The sensor coverage problem is prime factor being considered in recent advances. The coverage concept is subject to a wide range of interpretations due to different types of sensors and their applications. Genetic algorithm determines the optimal combination of sensor to achieve an objective of an efficient coverage and connectivity of sensors. The Genetic Algorithms restricts Reproduction, Crossover, and Mutation Operation to Sensors. Memetic Algorithm is Type Of Genetic Algorithms used to enhance the coverage and minimizes the number of sensors should be deployed , with minimum number of sensors efficient coverage is possible by eliminating the inefficient sensors by using population best fit method is used in this paper. To obtain the Memetic algorithm we also discuss about set k cover problem to identify which sensors are having efficient coverage and NP complete problem is discussed in this paper. The simulation results shown in this paper proves that we are achieving efficient coverage with minimum number of sensors.
Keywords: sensor coverage, Memetic algorithm, set k cover problem, NP complete
Design and Real Prototype Fabrication Of a Free Space Optical Transmitter and Receiver
S.SRINATH UG Student, ECE, Vellore Institute of Technology, Vellore, India
Abstract: We are communicating with each others for every purpose. Different modes of communication are used. Free space optics is one of the mode of communication. Free space optics is widely used by satellites for transmitting with each other. Design and real prototype fabrication of a low cost portable free space optical transmitter and receiver is presented in this paper. Using this prototype wireless communication is possible. Light from a laser torch is used as the carrier in the circuit. The laser torch can transmit light up to a distance of about 500 meters. The transmitter circuit comprises of condenser microphone transistor amplifier BC548. The gain of the op-amp can be controlled with the help of 1-mega-ohm potmeter. The transmitter uses 9V power supply. The receiver circuit uses an npn phototransistor as the light sensor that is followed by a two-stage transistor preamplifier and LM386-based audio Power amplifier. This paper deals with the designing of a very low cost free space optical system which is perfect for information transmission of general conversation, using an ordinary available Laser torch of cost. The circuit is designed using National Instrumentations Multisim11.0 (N.I. Multisim 11.0) and National Instrumentations UltiBoard11.0 (N.I. UltiBoard 11.0).
Keywords: Battery driven design, Free space optics, Laser torch, Low cost design, N.I. Multisim and N.I. UltiBoard Simulator, Voice or data transmission.
Performance Enhancement of Web Server log for Distinct User Identification through different factors
SHEETAL A. RAIYANI, RAKESH PANDEY, SHIVKUMAR SINGH TOMAR M.tech, CSE, TIT, Bhopal, India Asst. Prof., CSE, TIT, Bhopal, India Asst. Prof., CSE, TIT, Bhopal, India
Abstract: Nowadays millions of users daily interact with web sites around the world. Huge amount of data are being generated and these information could be very prized to the company in the field of understanding Customer’s behaviours. Web usage mining is relative independent, but not isolated category, which mainly describes the techniques that discover the user's usage pattern and try to predict the user's behaviours. Web usage mining is field of data mining which deals with the originality and study of usage patterns with use of Web log data. Specifically web logs in direction to advance web based applications. Web usage mining involves of three stages, Preprocessing, Pattern discovery and Pattern analysis. Work represent a Preprocessing methodology having Data Cleaning, User Identification which is key issue in preprocessing technique phase is to identify the unique web users. Traditional User Identification is founded on the site structure and user IPaddress by using some observed rules and based on the site topology which reduced the efficiency of result. In proposed work this problem is resolve through Distinct User Identification (DUI) Technique which is based on IP address, Agent, Referred pages, status on requested page and complete session time. It can be used in unique identification of users as well as through discovery of regular access process get better designing for site modification and business intelligence. Proposed work experiments get precious accurate result which improved the overall quality of preprocessing results which more beneficial for web usage mining techniques. Cause of using different factors get well-organized preprocessed data with more time consumption.
Keywords: Web usage mining, Preprocessing, User identification, Session time, Server log
MS. RAJESHWARI RASAL, PROF. N.M.SHAHANE PG Student, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India Professor, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India
Abstract: Efficient and effective detection of objects in the images is an important task in many image processing applications. This paper presents a region merging approach for detecting the foreground objects in the image. The foreground objects are the structured objects with an independent and detectable boundary. The proposed approach identifies objects in the given image based on general properties of the objects without depending on the prior knowledge about specific objects. The regions of the structured foreground objects in the image are separated by using region contrast information. The perceptual organization laws of human visual system are used in the region merging process to identify the boundaries of various objects. The system is adaptive to the image content. The results of the experiments show that the proposed scheme can reliably extract object boundary from the background.
Keywords: Contrast, Histogram, Region merging, Seed region, Threshold
Hybrid Approach for Face Detection Using Skin Color Based Segmentation and Edge Detection
BHUSHAN LAL BANCHHOR, MRS. TRIPTI SHARMA M. Tech. Scholar, Software Engineering (CSE), Rungta College of Engineering & Technology, Kohka, Bhilai Associate professor, Department of Computer Science Engineering, Rungta College of Engineering & Technology, Kohka, Bhilai
Abstract: In this paper, we propose a technique to efficiently detect human face in color images with varying illumination conditions. The strategy consists of modeling the distribution of skin colors gaussian fitted skin color model and segmenting the image into skin and non-skin parts, using threshold values that are computed automatically by an adaptive technique. Here we show that a mixture model of gaussians can provide a robust representation of the human skin color to accommodate with a lot of color variations. Using images taken from the internet, containing persons with various skin-color types in different illumination conditions, experimental results show that the proposed method can cope with a various range of illumination situations and complex backgrounds,where skin color based segmentation can segment the skin regions of human face and separated the non-skin regions and after that using edge detection operators(canny and prewitt) , which detect the face regions while reducing the noise around that region. In this way this hybrid approach provide us better system to detect the face region.
MEMS Based Wireless Sensor for Real Time Gait Feedback System
S.MAFLIN SHABY, M.S.GODWINPREMI, BETTY MARTIN Assistant Professor, Department of Electronics and Telecommunication Engg, Sathyabama University, Chennai, India Professor, Department of Electronics and Telecommunication Engg, Sathyabama University, Chennai, India Professor, Department of Electronics and Control Engg, Sathyabama University, Chennai, India
Abstract: This paper describes a MEMS sensor and a feedback system, to find out the gait abnormalities. The device are based on wireless transmission of the gait data for real-time sensory feedback to help the healthcare centre. Vibration rate piezo sensor was designed, using embedded that were sampled using a microcontroller, which then transmitted the data to an android smart phone. Different sensory methods of feedback were tested to determine their individual efficiency of the gait subject under study. Without the help of supervision of a rehabilitation specialist, the feedback system are capable of influencing the gait of the user. A statistical analysis was performed to establish the reliability and repeatability of the system. The proposed feedback method designed a novel, inexpensive and effective method for the people with gait abnormalities.
Automatic Outlier Identification in Data Mining Using IQR in Real-Time Data
L.SUNITHA, DR M.BALRAJU, DR J.SASIKIRAN, E.VENKAT RAMANA Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Malla Reddy College of Engineering, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India Department of computer Science and Engineering, Vidya Vikas Institute of Technology, Hyderabad, India
Abstract: Some of the Real-Time databases containing exceptional values or extreme values called outliers. The separation of outliers is very much useful for improving the data quality and also removing which is not required and unrelated for knowledge discovery. The outlier will influence the results of data mining techniques like clustering, classification and association. Outlier Identification and removing is a part in the in preprocessing. In this paper we are using various measures central tendency methods like mean ,mode, median and Inter-Quartile – Range(IQR) on real time databases and the experimental results are generated by using Weka a data mining tool. Key Terms: Outlier, Preprocessing, IQR
Quality based Web information extraction approach using NLP and Text Mining
ASHISH KUMAR RAY, MR. AJAY KUSHWAHA M.Tech. scholar, Department of CSE, RCET, Bhilai, India Associate Professor, Department of CSE, RCET, Bhilai, India
Abstract: Today for discovering information regarding any matter people give preference to web resources rather than other resource. But World Wide Web contains billions of web pages and various other documents containing information about various topics. So we use a search tool for retrieving information about any particular topic. And performance of these search tools is mostly described by the quality of search result. For improving quality of search result search strategies uses various techniques. Despite of these techniques the quality of search results is degraded due to uncertainty in intending context of fired query. Another problem of search result is redundant pages that contain contents that are already contained by previous pages; degrade the quality of search result. In this paper we proposed an approach for improving quality of search results with the help of Natural language Processing and Text Mining. Here quality of search results is described by relevancy precision of search results return by search strategy. The relevancy precision can be defined by ratio of relevant articles to total retrieved articles.
Techniques for Identifying Denial of Service Attack in Wireless Sensor Network a Survey
ANNIE JENNIEFER, JOHN RAYBIN JOSE M.Phil, Scholar, Department of Computer Applications, Bishop Heber College (Autonomous), Trichy Asst. Professor & Head, Department of Information Technology, Bishop Heber College (Autonomous), Trichy
Abstract: Wireless Sensor Networks is a type of computer network, which is commonly used for environmental monitoring and military observation. Wireless sensor networks are frequently affected by jamming attacks and broadcast attacks. Securing WSN is a challenging task. The prominent attack in WSN is Denial of Service (DoS) attack. DoS attack is caused by jamming single or group of nodes and there by disrupting the communication. This paper depicts the different types of DoS attacks. It also elaborates the techniques adopted by several researchers for Detecting DoS attacks.
Keywords: Wireless Sensor Networks, Denial of service attacks, Monitor Node, Gateway Medium Access Control, Evasion, Multi Dataflow, Lightweight Medium Access Control, Weighted Centroid Localization.
VENKATESWARA RAO PALLIPAMU, THAMMI REDDY K, SURESH VARMA P Associate professor, Department of Computer Science, Adikavi Nannaya University, Rajahmundry, India Professor, Department of Computer Science and Engineering, GITAM University, Visakhapatnam, India Professor, Department of Computer Science, Adikavi Nannaya University, Rajahmundry, India
Abstract: The importance of authentication is increasing due to increase of online transactions over the internet. There is a need to establish a framework for the authentication of computer-based information. A Digital Signature is one of the authentication mechanisms. A valid digital signature gives a recipient reason to believe that the message was created by a known sender, and that it was not altered in transit. Digital signatures are commonly used for software distribution, financial transactions, and in other cases where it is important to detect forgery or tampering. Various asymmetric cryptosystems create and verify digital signatures using different algorithms and procedures. This paper performs security analysis of Digital Signature schemes; RSA, DSA and EIGamal. A cryptographic tool is used for conducting experiments. Experiments results are given to analyses the effectiveness of each algorithm.
Keywords: Cryptography, Digital signature, Message digest, Authentication
Design and Physical Verification of Low Power 4words X 4bits SRAM System using an Adaptive Voltage Level (AVL) Technique
KUMARASWAMY N, MAHESH B NELAGAR PG Student, VLSI Design and Embedded systems, PG Study centre VTU, Belgaum, India Asst. professor, VLSI Design and Embedded systems, PG Study centre VTU, Belgaum, India
Abstract: The scaling of CMOS technology has significant impacts on SRAM cell random fluctuation of electrical characteristics and substantial leakage currents. Reduction of leakage current is very important for low power applications. This provides the motivation to the design of low leakage SRAM cells, because these high leakage currents are becoming a major contributor to total power dissipation of CMOS circuits. Memory leakage suppression is critically important for the success of power-efficient designs, especially for ultra- low power applications. In order to achieve low power design there many techniques are presented earlier like Multiple Vdd supply, Multiple Vth technique, SVL scheme, but these techniques will reduce only subthreshold leakages in SRAM cell and leaves gate leakage as remains. The proposed adaptive voltage level (AVL) circuit is added to Asymmetric 10T-SRAM cell, to reduce the sub-threshold leakage and as well as gate leakage, which controls the effective voltage across the SRAM cell in inactive mode. And Simulations are performed with 90nm CMOS technology process file and the leakage power and leakage currents of all the cells are measured and compared. Simulation results revealed that there is a significant reduction in leakage power for this proposed cell with the AVL circuit.
The Factors Affecting Adoption of Cloud Computing Technology in Education Institutions
NUPUR GUPTA, SANJEEV THAKUR Researcher, Department of Computer Science, Amity University, Noida, U.P, India Professor, Department of Computer Science Amity University, Noida, U.P, India
Abstract: Cloud Computing Technology is perceived by many as a new asset of Information technology for the IT companies, educational institutions, government sectors, etc. In the ever fast growing economy apart from the challenges faced due to recession, the educational institutes find this a big hurdle as to how to provide necessary Information technology support for educational activities and research areas. Cloud Computing, the latest buzzword in IT sector, may come to the rescue, as it can provide an easy and inexpensive access to the state of the art IT technology, software and its applications. Cloud computing is a recent concept that is still evolving across the information technology industry and academia. Cloud computing is Internet (cloud) based development and use of computer technology whereby dynamically scalable and often virtualized resources are provided as a service over the Internet.
This research paper aims at studying the factors which affect the adoption of Cloud Computing Technology in an educational institution, case study of a Delhi based renowned public school. Questionnaire was used a data collection tool and the results were analysed by SPSS program for statistical analysis.
Keywords: Cloud computing, education institution, SPSS, descriptive analysis, deployment model, service model
Abstract: Due to the scarcity of the frequency spectrum, we usually filter the transmitted signal to limit its bandwidth. So, that efficient sharing of the frequency resource can be achieved. Moreover, many practical channels are band-pass and, in fact, they often respond differently to inputs with different frequency components, i.e., they are dispersive. The resulting interference, inter-symbol interference (ISI), degrades the error performance of the communication system. There are two major ways to mitigate the detrimental effect of ISI. The first method is to design band-limited transmission pulses which minimize the effect of ISI. The second method is to filter the received signal to cancel the ISI introduced by the channel impulse response. This approach is generally known as equalization. In this paper we have adopted adaptive equalization technique to reduce ISI and have compared with the existing techniques. Also, we a graphical user interface (GUI) has been developed for making the work user friendly so that everyone can use it with ease.
A review on Routing Techniques in Wireless Sensor Networks
AVNI KAUSHIK M.Tech Student, Computer Science & Engineering, NGFIET, India
Abstract: Wireless sensors network (WSN) consist of homogenous, self organized nodes known as sensor nodes. The sensor nodes have the capability to sense an event and to process the data.In this paper,we give an overview on routing techniques in WSN.The focus has been given on their classification.The routing protocols are broadly classified into two categories as route selection based routing protocols and network architecture based routing protocols.The two sub categories are further classified, that is presented in this paper.As we know each protocol has some advantages as well as some disadvantages so we compare them in this paper by using recent research.
SANA, DR. RAVINDRA KUMAR Department of Computer Engineering, Al-Falah School of Engineering & Technology, Haryana, India Ex-Director General, VGI Dadri
Abstract: Apps are usually available through application distribution platforms. Android came in the world with a boom and has given a new era of technology. A new application is provided as instance to illustrate the basic working processes of Android application components. A guidance to understand the operation mechanism of Android applications and to develop an application on Android platform is described in this paper.
Efficient Capabilities of Processing of Big Data using Hadoop Map Reduce
PRAVEEN KUMAR, DR VIJAY SINGH RATHORE Research Scholar, Department of Computer Science, NIMS University, Jaipur, India Professor & Director, Shri Kami College, Jaipur, Rajasthan, India
Abstract: We are living in an age when an explosive amount of data is being generated every day. Data from sensors, mobile devices, social networking websites, scientific data & enterprises – all are contributing to this huge explosion in data. This sudden bombardment can be grasped by the fact that we have created a vast volume of data in the last two years. Big Data- as these large chunks of data is generally called- has become one of the hottest research trends today. Research suggests that tapping the potential of this data can benefit businesses, scientific disciplines and the public sector – contributing to their economic gains as well as development in every sphere. The need is to develop efficient systems that can exploit this potential to the maximum, keeping in mind the current challenges associated with its analysis, structure, scale, timeliness and privacy. There has been a shift in the architecture of data-processing systems today, from the centralized architecture to the distributed architecture. Enterprises face the challenge of processing these huge chunks of data, and have found that none of the existing centralized architectures can efficiently handle this huge volume of data. These are thus utilizing distributed architectures to harness this data. Several solutions to the Big Data problem have emerged which includes the Map Reduce environment championed by Google which is now available open-source in Hadoop. Hadoop‟s distributed processing, Map Reduce algorithms and overall architecture are a major step towards achieving the promised benefits of Big Data.
Keywords: big data, data revolution, analysis, Hadoop, Map Reduce
Object Detection Using Semantic Segmentation with Fisher Vector
SUDHIN S, JAYALAKSHMI D.S, VEENA G.S P.G Student, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Associate Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India Assistant Professor, Computer-science Department, M.S.Ramaiah Institute of Technology, Bangalore, India
Abstract: Image processing is an aspect of computer-science wherein one of the fundamental problems is that of object detection for a given set of images. There are number of existing works which are used for object detection using different methodology. Here in this work a method of segmentation using semantic rules along with feature extraction procedure is used. A separate training and testing phase is carried out wherein during training phase the SVM is trained for the images from the dataset and similarly in testing phase a test image is tested so as to determine the object of interest for given image. In order to detect the object more accurately semantic rules are applied both during training and testing stages
A Review A Novel Algorithm for Blurred Image Restoration in the field of Medical Imaging
RINKU KALOTRA, SH. ANIL SAGAR M.Tech Student, Punjab Technical University, Beant College of Engineering and Technology, Gurdaspur, India Assistant Professor, IT Department, Beant College of Engineering and Technology, Gurdaspur, India
Abstract: Image restoration deals with bringing back the degraded image to its original state i.e. it helps to restore the degraded image into more sharp and clear image. Restoration of medical images is the demand of the hour as such images suffer from distortions like noise and blur. X-ray images play a vital role in dealing with the detection of various diseases in patients and they face the problem of Gaussian noise and motion blur. Hence their restoration is must which can be done with the help of image restoration techniques. In this paper, two popular restoration techniques viz. LRA and BID are applied and analyzed in the recovery of X-ray images
Keywords: BID, Degradation model, Restoration model Medical Images, X-ray images, LRA, PSF.
MS.SNEHAL B CHAUDHARI, PROF.N.M.SHAHANE ME Student, Department of Computer Engineering, KKWIEER, Nashik, India Professor, Department of Computer Engineering, KKWIEER, Nashik, India
Abstract: Salient region detection in image is useful for applications like adaptive compression, image segmentation and region-based image retrieval. Many of existing saliency detection techniques do not pay much attention to the noise problem. In this paper the proposed model uses L0 smoothing filter to reduce the effect of noise and achieve a better performance. The important role in our framework is played by the L0 smoothing filter. The L0 filter is extremely helpful in characterizing fundamental image constituents, i.e. salient edges and can simultaneously reduce insignificant details, thus producing more accurate boundary information for background merging. The saliency maps in this paper are extracted by three features: the color spatial variance, border measurement, and region contrast. The color spatial variance is utilized to calculate the degree of color distribution. Based on the observation that salient objects are less likely to be connected with the borders of an image, the boundary information of each segment is used to determine the salient region. Last but not least, a region contrast method is used for extracting global contrast used to achieve full resolution map with well defined boundaries. Thus this method will give more accurate results as compared to other methods.
Keywords: Image segmentation, L0 smoothing filter, Region contrast,Sailent region detection
PRASAD P.SAWANT, VARSHAPRIYA J.N MTech NIMS, VJTI Matunga, Mumbai, India Department of computer Engineering, VJTI Matunga, Mumbai, India
Abstract: Cloud Computing adds more power to the existing Internet technologies. Virtualization harnesses the power of the existing infrastructure and resources. With virtualization we can simultaneously run multiple instances of different commodity operating systems. Since we have limited processors and jobs work in concurrent fashion, overload situations can occur. There are many types of load balancing algorithms available for cloud for increasing performance. In this paper we propose a Unified Load Balancing system which consists of static load balancer which forwards the incoming ip request to specified node and a workload manager which manages working load on all computing node. This system makes efficient use of power by moving VM from light weighted node thus making him idle.
A Proposed Architecture Over Energy Efficient Routing Configuration in WSN
SURAJ S JEERAGAL, K.R.PRASANNAKUMAR Student, M.Tech 2nd year, Department Of Computer Science, Siddaganga Institute of Technology, Tumkur, India Assistant professor, Department Of Computer Science, Siddaganga Institute of Technology, Tumkur, India
Abstract: In typical sensor network application scenario the real time data collection and maximizing network life time are the most important task. In sensor network a mobile sink node moves into the sensing area or a node is activated to serve as a cluster head and collect data from the sensor nodes deployed in the area. But collection of data and processing data consumes the enormous amount of energy. In sensor network the data transferring from leaf node to end user is done by two methods, such as Single hop communication and multi hop communication. But both communications suffer from some disadvantages like wastage of energy and node isolation problem respectively. So in this paper we proposed architecture for sensor network in which Cluster Terminal is introduced which solves major problem faced in the previous communication methods and we proposed an algorithm for energy-efficient design and analysis of novel architecture that can dynamically configure a network to achieve guaranteed degrees of coverage and connectivity.
Keywords: Cluster Head, Cluster Terminal, Single Hop, Multi Hop
Video Based Crowd Density analysis for Visual Surveillance
ONKAR S. KATAGI, JAYALAKSHMI D S, VEENA G S M.Tech, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Associate professor, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India
Abstract: Crowd density estimation is the challenging task for visual surveillance. Due to presence of high risk of degeneration, the safety of public events has large crowds and it has always been major concern. Video analysis techniques are becoming increasingly popular in the visual surveillance of public areas because of their great efficiency in gathering information and low cost in human resource. Its central topic is automatic analysis and detection of abnormal events. In monocular image sequences, the combined method of foreground based, feature based and group based methods is applied to extract crowd areas having motion. The specific number of persons and velocity of a crowd can be adequately estimated by the system from crowded areas. Having a camera network, crowd density can be predicted with the system. The system has lot of been applications such as in real applications, and experiments conducted in real scenes (station, college) demonstrate the effectiveness of this method.
Keywords: crowd density, human tracking, Haar based features.
Performance Comparison of Random Subcarrier Access and Spectrum Harvesting with ARQ Retransmission and Probing Type of Cognitive Radio Networks
R PRAVEEN, GOVINDA RAJU M M.Tech Student, Department of Electronics and Communication Engineering, RVCE, Bangalore, India Assistant Professor, Department of Electronics and Communication Engineering, RVCE, Bangalore, India
Abstract: In cognitive radio (CR) systems, one of the main implementation issues is spectrum sensing. This paper considers an orthogonal frequency-division multiplexing (OFDM)- based CR spectrum sharing system that assumes random access of primary network subcarriers by secondary users (SUs) and absence of the PU‟s spectrum utilization information, i.e., no spectrum sensing is employed to acquire information about the PU‟s activity or availability of free subcarriers which is termed as Random Subcarrier Access (RSA) Scheme. This paper obtains the performance of the random access scheme in terms of capacity of the subcarrier collisions by assuming an interference power constraint at PUs to protect their operation. This paper also considers a method entitled Spectrum Harvesting with ARQ Retransmission and Probing (SHARP) which is based on spectrum sharing system where the secondary pair listens to the primary ARQ feedback to glean information about the primary channel. Two varieties of spectrum sharing, named conservative and aggressive SHARP, are introduced. The performance of RSA scheme and SHARP scheme is compared.
Keywords: OFDM-based cognitive radio, random access, spectrum sharing, ARQ, average capacity.
Searching the Web Querying Services over Ontological Process
KAVYA.R, SEEMA.S PG Student, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Associate Professor, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India
Abstract: Modern hand held devices such as smart phones and PDA’s have become increasingly powerful in recent years. In particular, most cell phones regularly include cameras, processors comparable to PCs from only a few years ago, and internet access. As mobile devices become more like PCs they will replace object we tend to carry around such as cameras, planners, mp3 players etc. In short, we will be using them to accomplish our daily tasks. One application that falls into this category is the Internet service provider application developed for Android phones. The prime objective of “Searching web querying service” is to create a fully fledged Android application which helps the user to get exact information based on the query provided. In this application the user gets the synonyms based on the query provided and those synonyms can be used to fetch exact information from the Web. Thesaurus can be used as a form of controlled vocabulary to aid in the indexing of appropriate metadata for information bearing entities.
Keywords: Ontological and terminological resource, Android, Thesaurus, Synonyms.
NISHU GUPTA, MRS.SHAILIJA Student, CSE, CDLU, Sirsa, India Asst Professor, CSE, CDLU, Sirsa, India
Abstract: This paper is about the study of cryptographic and steganography techniques and provides the approach of security with the combination of these techniques. The transmission of information need to be secure over the network and confidentiality of information is main aspect for the critical information. This paper proposed the multiple layer approach for security of information which includes the hashing, cryptographic steps and steganography techniques for encryption and hiding of data. For more security, the LSB technique has been considered with audio file for hiding of encrypted information. Hashing for maintain the confidentiality of information, cryptographic for encryption and then hiding in audio. Audio steganography requires a text or audio secret message to be embedded within a cover audio message. DES cryptographic algorithm has been used with Hashing algorithm. This Paper provides a new way of securing the information to avoid hassle in transmission over network.
Enabling Mutual Trust for Cloud Storage Systems Using Cheating detection module
NOORANDAYYA R SWAMY, DR. D.R.SHASHI KUMAR Student- M.Tech, Department of CS&E Cambridge Institute of Technology, Bangalore, India HOD, Department of CS&E, Cambridge Institute of Technology, Bangalore, India
Abstract: Currently, the amount of sensitive data produced by many organizations is out pacing their storage ability. The management of such huge amount of data is quite expensive due to the requirements of high storage capacity and qualified personnel. Storage-as-a-Service (SaaS) offered by cloud service providers (CSPs) is a paid facility that enables organizations to outsource their data to be stored on remote servers. Thus, SaaS reduces the maintenance cost and mitigates the burden of large local data storage at the organization’s end. A data owner pays for a desired level of security and must get some compensation in case of any misbehavior committed by the CSP. On the other hand, the CSP needs a protection from any false accusation that may be claimed by the owner to get illegal compensations. In this paper, a cloud-based storage scheme is proposed that allows the data owner to benefit from the facilities offered by the CSP and enables indirect mutual trust between them. The proposed scheme has two important features: i) It allows the owner to outsource sensitive data to a CSP, and it ensures that only authorized users (i.e., Those who have the right to access the owner’s file) receive the outsourced data i.e. It enforces the access control of the outsourced data can be done by sending a key through email to the registered users and ii) Enables indirect mutual trust between the owner and the CSP using Cheating detection module.
Simulation of ac dc ac converter for closed loop operation of three phase induction motor
RAJNIKANTH, DR.ROHINI NAGAPADMA M.Tech Student, Electrical& Electronics Engineering, NIE Mysore, India Professor, Electronics & Communication Engineering, NIE Mysore, India
Abstract: The vector control analysis of an induction motor allows the decoupled analysis where the torque and the flux components can be independently controlled (just as in dc motor). This makes the analysis easier than the per phase equivalent circuit. The current control methods play an important role in power electronic circuits, particularly in current regulated PWM inverters which are widely applied in ac motor drives and continuous ac power supplies where the objective is to produce a sinusoidal ac output. The main task of the control systems in current regulated inverters is to force the current vector in the three phase load according to a reference trajectory.
A Novel Technique to Protect and Isolate Selective Packet Drop Attack in MANET
ANITA, ABHILASHA Student MTech(CSE) , GZS PTU Campus, Bathinda, Punjab, India Head of Deptt. CSE, GZS PTU Campus, Bathinda, Punjab, India
Abstract: Wireless Networking is a technology in which two or more computers are communicating with each other. It can have a fixed infrastructure or it may not comprise of any infrastructure. MANET is one of the types of wireless networking which is a self configuring network in which a node can join or leave the system at any time. The nodes can form any topology as per the requirement for the given situation. Various routing protocols are used in MANET that can be reactive like AODV or proactive like DSDV or hybrid protocols like ZRP. There are many types of attacks which are possible to be triggered in MANET. In this paper we will focus on selective packet drop of selective forwarding attack. This packet reduces the throughput of the system. A novel technique will be proposed which will reduce packet drop problem. Experimental result shows that the proposed technique gives better results as compared to existing technique.
Keywords: MANET, security and selective packet drop
Design and Implementation of Health Care Tool that Provides Suggestions and Doctors Appointment
RASHMI.M, SEEMA.S, AISHWARYA CAUVERAMMA P.N, BHANUSREE ESWARAPPA Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Department of Computer Science & Engineering, KVG College of Engineering, Sullia, India Department of Information Science & Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India
Abstract: In this paper we propose a computational m odel b a s e d on OWL/SWRL enabled ontologies, which can be used in the development of an automated software tool which help the patients know about their health conditions via patient specific reminders, advice and action items which helps in preventing the development of specific disease like diabetic foot care and Alzheimer’s in patients. This tool focus at: (i) patients who would like to manage their illness efficiently by being informed and alerted to the significance of any change(s) they detect in their health condition and (ii) healthcare professionals who can disseminate their knowledge to patients more effectively, and thus prevent the development of disease , which may cause the premature death of patients. The benefits of OWL/SWRL enabled ontologies in our computational model are numerous i.e. r a n g e from the power to store, manage and reason effectively upon knowledge and information related to particular disease and prevention through OWL/SWRL computations, to the feasibility of including such computations into software applications, which can be used as a set of Apps on Android devices or on personalized healthcare iClouds. Consequently in the core of our proposal are (a) the OWL ontological model and its constraints which define and store the semantics of symptoms and observations of the changes in patient health and (b) the reasoning process which uses the semantics and the power of ontological matching through SWRL.
Keywords: OWL/SWRL, Alzheimer’s, Diabetic foot, Data classification.
CHHAMMAN SAHU, RAJKUMAR SAHU ME Student, Dept. of ECE, Chhattrapati Shivaji Institute of Technology, Durg, Chhattisgarh, India Associate professor, Dept. of ECE, Chhattrapati Shivaji Institute of Technology, Durg, Chhattisgarh, India
Abstract: Image processing techniques improve the quality of an image or enhance the maximum information from the degraded image. Image Fusion is a technique of enhancing the quality of image from given images. It is the process of combining two or more images into a single image; method is a fusion-based strategy that derives from two original hazy image inputs by applying a white balance and a contrast enhancing procedure. Then the resulting image will be more clear and enhanced from the prior. Many development and research is being done in these field areas of Computer Vision, Automatic object detection, Image processing, parallel and distributed processing, Robotics and remote sensing. This thesis reports a detailed study performed over a set of image fusion algorithms regarding their implementation. The thesis demonstrates the utility and effectiveness of a fusion-based technique for dehazing based on a single degraded image. The method performs in a per-pixel fashion, which is straightforward to implement. The thesis finally concludes with an assessment made on the various image fusion algorithms, identifying the Pyramid Fusion algorithm.
Keywords: Single image dehazing, Fusion based, Pyramid method, Dwt.
ADITYA MANDHARE, SONIYA NEMADE, M.KIRUTHIKA Student, Computer Engineering Department, FCRIT, Vashi, India Student, Computer Engineering Department, FCRIT, Vashi, India Co-ordinator, Computer Engineering Department, FCRIT, Vashi, India
Abstract: With an increasing need to improve users’ experience on the website, recommendation tools have become an indispensable resource for any e-commerce or social networking website. These tools analyze users’ behaviour on website and their usage pattern, and thus try to predict a user’s likes and dislikes. This is done by employing recommendation algorithms on the available usage data. The results obtained are then compared at different operational thresholds. The recommendations obtained as an output of these tools are then provided to the users, which helps them take better decisions or make better choices
Keywords: Database, collaborative filtering, recommendation system, Item based filtering, person based filtering, Data mining, Knowledge mining.
Comparative Analysis of Speech Features for Speech Emotion Recognition
PRASHANT AHER, ALICE CHEERAN Electrical Engineering Department, Veermata Jijabai Technological Institute (VJTI), Mumbai, India
Abstract: In this paper, comparative analysis of speech cepstral features is performed to recognise emotion. We identify two effective feature namely, Mel Frequency Cepstral Coefficient (MFCC) and Cochlear Filterbank cepstral coefficients extracted from speech signal. MFCC as a baseline approach is compared to the feature extracted from cochlear filterbank with zero crossing at the output of each channel. Extracted features are fed to Support Vector Machine (SVM) classifier. As shown in our results, cochlear feature provide highest recognition accuracy provided using linear kernel. It gives 89.67% classification accuracy for Berlin Emotional Speech Database. A study on noise robustness of above mentioned feature was also carried out. MFCC and cochlear feature have recognition accuracy of 81.9% and 86% respectively in clean testing conditions with RBF kernel function but when mismatch between training and testing set increases as in real time situations, recognition accuracy of MFCC feature is 11% while cochlear feature gives accuracy of 25%, which shows that cochlear feature is more robust to noise.
Keywords: Cochlea, cochlear filterbank, mel filterbank, mel scale, noise robustness, linear polynomial and RBF kernel, speech emotion recognition, Zero Crossing Peak Amplitude, SVM.
VISHAL HATMODE, PROF. SONALI RANGDALE Department of Information Technology, Siddhant College of Engineering, Pune, India
Abstract: In this paper, we will enlist the process of SQL query optimization based on Heuristic approach. It is often found in the database industry that a lot of time is consumed in executing inefficient SQL queries. The problem here is that although the DBA knows that the queries red are inefficient, the large sections of people who are actually ring these queries are unable to write efficient queries. As a result, the performance of the entire system degrades because of the drastic fall in the system throughput i.e. the number of transactions performed per unit time is reduced. Typically, to overcome this problematic situation, most of the people frequently consult the DBA for writing efficient queries. This approach results in a lot of time loss. A better solution is using a Query Optimizer. A Query Optimizer will accept the inputted user query and automatically generate a equivalent but highly optimized query. This will save a lot of time and e ort. This in turn improves the system throughput and its overall performance. The Query Optimizer in this project is a Heuristic Optimizer. It basically tries to minimize the number of accesses by reducing the number of tuples and number of columns to be searched.
ANU GOEL, RICHA M.Tech. Student, AKGEC, U.P., India Assistant Professor ECE, AKGEC, U.P., India
Abstract: This paper presents a critical analysis of specific absorption rate (SAR) at 900 MHz in different scenarios with the various factors which play an important role in the analysis of SAR. The effects of frequency, dielectric properties of biological tissues, type of antenna and its distance from measuring biological tissue are studied by making the reference of available literatures. A human head model is constructed through simulations to analyze the specific absorption rate and heat distribution in brain tissue.
Keywords: SAR, dielectric properties, blood perfusion rate, finite element method.
A New Approach for Encryption Method using Collective Techniques with Rijndael Algorithm
S.DEVI, K.KANAGARAM, V.PALANISAMY Research Scholar, Computer Science & Engineering, Alagappa University, Karaikudi, India Research Scholar, Computer Science & Engineering, Alagappa University, Karaikudi, India Professor & Head, Computer Science & Engineering, Alagappa University, Karaikudi, India
Abstract: Network security is the best known mechanism in the computer world, which secures the data against hackers or unauthorized users over the communication channel. In this paper three mixed techniques are used to enhance the security i.e. One is Rijndael, other is cross change & transformation followed by basic arithmetic and logic operations. In the existing system, the encryption is less secure & less complex while the proposed work implements the size of the private key for ensuring the data protection. Data secrecy is mainly dependent on the strength of key size in the encryption algorithm. The proposed algorithm computes a random key sequence for each & every plaintext character. So that the encrypted data should be in the disguised format to analyze.
Keywords: Rijndael algorithm, random key sequence format, cross change, transformation, encryption, decryption
Performance Evaluation Comparison of Primary User Signal Detection Methods for Cognitive Radio System
N.P.SONAWANE, S.B.BORSE PG Student, Dept. Of E & TC, L. G. N. Sapkal COE, Nashik, India Faculty, Dept. Of E & TC, L. G. N. Sapkal COE, Nashik, India
Abstract: Utilization of electromagnetic radiofrequency spectrum with efficient way, we required to check the spectrum to determine whether it is being used by primary user (PU) or not. Research shows that the available spectrum is not utilized efficiently. The term cognitive radio (CR) refers to the adoption of radio parameters using the sensed information of the spectrum. Cognitive radio is the way to improve the efficiency of the radio spectrum utilization, which is achieved by CR, finds unused spectrum and allocate to secondary user without interfering to PU. The focus of this paper is on the comparative study of an important spectrum sensing detection methods. In this paper, we have considered four spectrum sensing techniques of transmitter detection: Matched filter detection, Energy detection, and Cyclostationary feature detection and Maximum eigenvalue to minimum eigenvalue ratio detector. Comparative analysis of the four techniques has been carried out in terms of probability of false alarm Pf, probability of detection alarm Pd, and probability of miss detection Pm. Finally by simulation result, the graphical comparison shows that at low signal to noise ratio (SNR), cyclostationary feature detection outperforms other two techniques, thus Cyclostationary have some difficulties like implementation is complex, long observation time, maximum eigenvalue to minimum eigenvalue ration detector methods overcome noise level variation difficulty, and also have the advantages of energy detection method
A Classical Approach for Rolled, Plain to Latent Fingerprint Matching
SWAPNIL G.PATIL, MAYANK BHATT M.Tech Scholar, Computer Science & Engineering, Rishiraj Institute of Technology, Indore, India Assistant Professor, Computer Science & Engineering, Rishiraj Institute of Technology, Indore, India
Abstract: This Paper present Crime Scenes, Law enforcement and forensics Application (Rolled, Plain and Latent fingerprint matching) Biometrics latent fingerprint identifying to catching the criminals. Due to Latent fingerprint is poor quality image means Blurred, Smudgy image cannot easily to extract. The main goal provide Latent fingerprint image matching to Rolled, Plain and Latent fingerprint. It is matching latent fingerprint (Image) it is necessary to extracting features to efficient to improving matching Accuracy and similarity. In this present work done Template matching (A Classical Approach) is used to matching Phase Angle and correlation.
Using Feedback Sessions for Inferring User Search Goals
SUKANYA S. GAWADE, GYANKAMAL J.CHHAJED ME student, Department of Computer Engineering, VPCOE, Baramati, Pune university, India Assistant Professor, Department of Computer Engineering, VPCOE, Baramati, Pune university, India
Abstract: Identifying or inferring user’s search goal from given query is a difficult job as search engines allow users to specify queries simply as a list of keywords which may refer to broad topics, to technical terminology, or even to proper nouns that can be used to guide the search process to the relevant collection of documents. Information needs of users are represented by queries submitted to search engines and different users have different search goals for a broad topic. Sometimes queries may not exactly represent the user's information needs due to the use of short queries with ambiguous terms. Hence to get the best results it is necessary to capture different user search goals. These user goals are nothing but information on different aspects of a query that different users want to obtain. The judgment and analysis of user search goals can be improved by the relevant result obtained from search engine and user's feedback. Here, feedback sessions are used to discover different user search goals based on series of both clicked and unclicked URL's. The pseudo-documents are generated to better represent feedback sessions which can reflect the information need of user. With this the original search results are restructured and to evaluate the performance of restructured search results, classified average precision (CAP) is used. This evaluation is used as feedback to select the optimal user search goals.
Keywords: AP (Average Precision), CAP (Classified Average Precision), SVM (Support Vector Machine), URL (Uniform Resource Locator), VAP (Voted AP).
Efficient Automated Build and Deployment Framework with Parallel Process
PRACHEE KAMBOJ, LINCY MATHEWS Information Science and engineering Department, M. S. Ramaiah Institute of Technology, Bangalore, India
Abstract: Continuous integration has been in theory for a long time but successful practicing is still a dream. To resolve the integration problems and increase the customer satisfaction, it is important to follow the practice of continuous integration in software development. Doing manual build and deployment regularly results in lot of time consumption and thus becomes an inefficient process. This paper proposes architecture for build and deployment by following best practices. It aims to fully automate the build process by using some available tools for source management, binary management and compilation. Build architecture gives a method to integrate all tools in build server. Successful completion of build is followed by deployment. This paper also proposes a deployment architecture which is common for all development environments. Deployment architecture states three steps, required to do the deployment and also proposes optional features to enhance the deployment process.
Energy Efficient Advanced Low Power CMOS Design to reduce power consumption in Deep Submicron Technologies in CMOS Circuit for VLSI Design
AMIT SINGH GAUR, JYOTI BUDAKOTI Department of Electronics & Communication Eng., G.B.Pant Engineering College, Pauri-Garhwal, Uttarakhand India Department of Computer Science & Engineering, G.B.Pant Engineering College, Pauri-Garhwal, Uttarakhand India
Abstract: Low power has emerged as a principal theme in today's electronic industry. Energy efficiency is one of the most critical features of modern electronic systems designed for high speed and portable applications. Reduction of power consumption makes a device more reliable and efficient. The minimum amount of power consumption was a major driving force behind the development of CMOS technologies. As a outcome, CMOS technology are best known for low power consumption devices. However, for minimizing the power consumption of system or device, simply knowing that CMOS devices may consume less power than equivalent devices from other technologies does not help much. It is important to know not only how to calculate power consumption, but also to calculate how various factors such as input voltage level, input rise time, source leakage current, Gate current, Switching power, short-circuit power, power-dissipating capacitor, and output loading affect the power requirement of a device. This paper presents an energy efficient and ecofriendly technique for overcoming power consumption in a CMOS devices, focusing on calculation of power-dissipation in various components and, finally, the determination of various ways to reduce the total power consumption in a CMOS device. The proposed technique has less power dissipation when compared to the conventional CMOS design style also the proposed technique is advantageous in many of the low power digital circuit design applications.
Keywords: low power, energy efficient, digital circuits, source leakage current, gate current leakage, switching power, short circuit, reverse biased diode leakage, Sub-threshold Current Leakage, Gate oxide Tunneling Leakage.
Handover decision mechanism in interworking technologies using radial basis functions
PAYAL MAHAJAN, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Electronics Department, Guru Nanak Dev university, Amritsar, India Assistant professor, ECE Department, Regional Campus Guru Nanak Dev university, Sultanpur Lodhi, India Assistant professor, Electronics Department, Guru Nanak Dev university, Amritsar, India
Abstract: As a mobile user travels between radio networks, a handover mechanism is required to vary its radio connection. The persistence of a call is one of the major quality measurements in wireless cellular networks. Handover mechanism permits a cellular network to offer such a facility by again allocating an ongoing call from one base station to another base station. To achieve handover neural network techniques can be used. In this paper, a handover decision mechanism is proposed using Radial Basis function (RBF) of neural networks in Matlab.
Detection of Cardiac Arrhythmias Using Different Neural Networks A Review
ANKITA MITTAL, MEENA AHLAWAT Assistant Professor, ECE, GGGI, Ambala, India Student M.Tech, ECE, GGGI, Ambala, India
Abstract: This paper describes about the analysis of electrocardiogram (ECG) signals using neural network approach. Heart structure is a unique system that can generate ECG signals independently via heart contraction. Basically, an ECG signal consists of PQRST wave. Normal healthy heart can be simply recognized by normal ECG signal while heart disorder or arrhythmias signals contain differences in terms of features and morphological attributes in their corresponding ECG waveform. Cardiac arrhythmias are classified by abnormal activities in the heart [3]. These abnormalities can be analyzed by an electrocardiogram (ECG). Details from this electrical signal can be used to classify different types of arrhythmias. Multiple data samples of normal ECG characteristics also were read by a neural network (NN) and analyzed for the differences between abnormal signal and an irregular signal. The data was extracted from the MIT-BIH Supra ventricular database and the MIT-BIH Arrhythmia database. A neural network is designed and programmed with this data and then tested to validate the data set. When neural networks are further used to analyze and test medical data samples, the medical community and patients will experience improvements in the diagnosis of heart abnormalities and early detection of debilitating medical conditions.
Design and Mathematical Model of Hybrid Cryptographic Algorithm- A3D Algorithm
ANJAN K, ABHIJITH C, ARUNRAJ, DEEKSHITH N, JIBI ABRAHAM Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India Department of CEIT, College of Engineering, Pune, India
Abstract: With the advent of network technology, internet attacks are also versatile. So, the traditional encryption algorithms (single data encryption) may not suffice securing the information over network. The alternative is to design an algorithm, that addresses the urgent need of security with less computational effort. This paper presents complete mathematical model required for designing a cryptographic algorithm that incorporates point curve in Jacobian symbol. The encryption process is based on a secured multilevel pseudo random number generator that helps in obscuring key generation process.
Keywords: Multilevel random number generator; Elliptic curve cryptography(ECC); Jacobian symbol; Goldwasser- Micali
Artificial Electronic Ear to Diagnose the Asthmatic and Non-Asthmatic Person
PARVEEN KHAN, DR. SURENDRA KUMAR YADAV, DR. AJEET SINGH M.tech Research Scholar, Department of Computer Science, JECRC University, Jaipur, India Associate Professor, Computer Science Department, JECRC University, Jaipur, India MD(Internal Medicine) consultant physician Division of Allergy and Pulmonary Medicine, Department of Medicine, SMS Medical College, Jaipur, India
Abstract: Many methods and techniques are used to diagnose the asthma but this mostly techniques/methods have high cost and take more time to give the result. Many researchers used signal processing to diagnose the respiratory diseases. But they have some disadvantage that some methods were more complex and some methods takes more time to give the result. The focus of this paper is to diagnose the asthma in the low cost, less time without using heavy devices and less complexity. In this paper to diagnose the asthma breath sound of humans used because affected people and normal people have different breath sound. Since breath sounds are stochastic signal, autocorrelation, magnitude square coherence etc. techniques used which is the techniques of applied statistical signal processing approaches.
Manets Routing Simulation And Network Analysis for Aodv And Dsr
EKTA, NASIB SINGH GILL Department of Computer Science and Applications, MDU, Rohtak, India
Abstract: A mobile ad hoc network (MANET) is spontaneous network that can be established with no fixed infrastructure and hence called self-configuring networks. MANETS are considered as the demand of today as influences each and every sphere of life. Its Dynamic nature demands several policies for the communication of the mobile nodes in the network. Several routing protocols are proposed in MANETS. This paper consists of the comparative study of two prominent protocols AODV and DSR. Both routing protocols are analysed on the basis of certain metrics with the help of NS2-2.34 network simulator and graphical analysis is done for both the protocols by varying the number of nodes in the networks.
Machine Learning system for Access Control in content sharing online social Networks
G.VANITHA, MR. A.BALA SUBRAMANIAN Research Scholar, Department of Computer Science, SNR Sons College, Coimbatore, India Associate Professor, Department of Information Technology, SNR Sons College, Coimbatore, India
Abstract: Online social networks (OSNs) have experienced tremendous growth in recent years and become a de facto portal for hundreds of millions of Internet users. These OSNs offer attractive means for digital social interactions and information sharing, but also raise a number of security and privacy issues. The OSNs allow users to restrict access to shared data; Currently they do not provide any mechanism to enforce privacy concerns over data associated with multiple users. One basic issue in today’s Online Social Networks (OSNs) is to give users the power to regulate the messages denote on their own non-public house to avoid the display of unwanted content is displayed. In the existing Apriori algorithm user cannot safeguard his or her blog, because unwanted message causes many problems. To overcome this problem Naive Bayes algorithm is proposed in this project. In the proposed system, the technique applied is novel machine learning algorithm for text classification based on Naive Bayes classifiers. The experimental results obtained in Naive Bayes classifier algorithm has improved accuracy.
Keywords: Data mining, Online Social Networks, Filtering Message, Apriori Algorithm and Naive Bayes Classifier Algorithm.
Clustering approach for Wireless Sensor Networks based on Cuckoo Search Strategy
SANDEEP KUMAR E, G.P.MOHANRAJ, RAGHUCHANDRA R.GOUDAR M.Tech Student, Department of Telecommunication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India B.E. Student, Department of Instrumentation Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India B.E. Student, Department of Instrumentation Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India
Abstract: Wireless Sensor Networks (WSNs) are garnering lot of interest in present world applications due to its self- management capabilities with less human intervention. Energy efficiency is a critical requirement in these types of network, since majority of the sensor nodes are battery driven. In this direction, clustering protocol has proved to save more energy compared to other routing protocols. Hence, this paper proposes a novel clustering protocol, which is based on the brood parasitism of few cuckoo bird species, thereby increasing the lifetime of the network compared to basic- LEACH protocol. The simulation results prove that adding these kinds of bio-inspired computations into the pre- existing protocol design leads to enhancement in the efficiency of the network.
VIKAS, ER.BALJINDER KAUR, KRISHAN SHERDIA M.Tech Student, ECE Department, G.G.S College of Engineering & Technology, Talwandi Sabo, India Assistant Professor, ECE Department, G.G.S College of Engineering & Technology,Talwandi Sabo, India Assistant Professor, ECE Department, JCDM College of Engineering, Sirsa, India
Abstract: In this paper an Ultra Wideband (UWB) microstrip antenna consisting of a circular monopole patch with stepped feed line, with a 10 dB return loss bandwidth from 3.1 to 10 GHz is proposed. This antenna was designed on FR4 substrate with overall size of 40 x 31.17 x 0.787 mm3 and dielectric substrate with 𝜀𝑟 = 2.2 This antenna operated at UWB frequency and it designed by using CST Software based on the characteristic impedance for the transmission line model. The parameters like substrate dimension, feed size and ground plane which affect the performance of the antenna in terms of its frequency domain and time domain characteristics are investigated.
Keywords: Microstrip line feed, microstrip antenna, Data communication, Wireless systems, Omni-directional patterns, UWB radio technology.
Intrusion Detection in Heterogeneous Wireless Sensor Networks with Liveliness Proficient Node Localization Algorithm
CHINNABBAIAH R, MANJUNATHA C, POONAM G HOD, Computer Science & Engineering, KJTET Polytechnic, Mulbagal, India Lecturer, Computer Science & Engineering, KJTET Polytechnic, Mulbagal, India Assistant Professor, Computer Science & Engineering, R.V. College of Engineering, Bangalore, India
Abstract: In the recent growth of wireless sensor networks deal with different functional areas, to carry out different functionalities known as catastrophe revitalization, deep search, intrusion detection and number of other functionalities in neat digital world. The functionality with respect to the wireless sensor network, the node localization is mainly used for estimating the liveliness proficient of the network. Node localization requires informing the origin events, assisting group queries, routing a solution to the deployed network system. This proposed research work focus on these issues in heterogeneous Wireless Sensor Networks (WSN) models and also estimating different approaches for node location finding. Detecting intrusion in WSN will focus on practical implementations. In many these implemented applications used for detecting intrusion in smart offices and recent network resources. This paper introduces the Liveliness Proficient Node Localization (LPNL) algorithm for network connectivity and broadcast reach-ability, which are essential conditions to make certain corresponding detection possibilities in WSN. Simulation results verify and validate the analytical values for heterogeneous WSN.
A Novel and Improved Technique for Reversible Data Hiding using Visual Cryptography
SHRUTI M. RAKHUNDE, ARCHANA A. NIKOSE M.Tech Student, CSE, Priyadarshini Bhagwati College of Engineering, Nagpur, India Assistant Professor, CSE, Priyadarshini Bhagwati College of Engineering, Nagpur, India
Abstract: This paper presents a detail description of novel scheme for reversible data hiding which can recover the original image after hidden data have been extracted. Scheme applies a method for hiding data in an image before encryption and utilizes a novel method for encrypting the image using visual cryptography. A modified algorithm for reversible data hiding using difference expansion technique is used in this scheme. The proposed scheme thus increases the amount of data that can be hidden in the image which also guarantees the lossless recovery of an image after the extraction phase.
Keywords: Reversible Data Hiding, Difference Expansion technique, SDS, RDH
Novel Discrete Binary P.S.O based deployment of Wireless Sensor Network
ANKITA SAINI, NEELAM SAINI, PRACHI M.Tech Scholar, Electronics and Communication Department, D.C.R.U.S.T, Murthal, Sonipat, India M.Tech, Electronics and Communication Department, D.C.R.U.S.T, Murthal, Sonipat, India Assistant Professor, Electronics and Communication Department, D.C.R.U.S.T., Murthal, Sonipat, India
Abstract: Coverage is one of the main research interests in wireless sensor networks (WSNs), which is used to determine the quality of service (QoS) of the networks. Therefore, this paper aims to solve coverage problem in distributed wireless sensor network by increasing sensor nodes coverage based on Novel Discrete Binary PSO Algorithm. This algorithm is capable of very efficiently deploying the sensors with an objective of maximizing the coverage and minimizing the network cost. There is a requirement of a minimum number of sensors to cover the entire grid area; below that number it will not be possible to cover the entire work field efficiently. Therefore, if the WSN is not deployed efficiently, the coverage issue is raised with an error message to improve the coverage area. These issues in WSNs are formulated as multidimensional optimization problems, and approached through various bio-inspired techniques. Particle swarm optimization (PSO) is a easy to implement, effective and computationally efficient optimization algorithm. It has been applied to address various WSN issues such as optimal deployment of sensors, node localization, clustering and data-aggregation. PSO is a real value algorithm[1], and the discrete binary PSO is proposed to be adapted to discrete binary space. Simulations have been done to illustrate the significant and effective impact of this novel approach of discrete particle swarm optimizer on sensor placement in WSN.
Survey on Paraphrase Extraction Techniques for Kannada
ASHWINI GADAG, DR. B.M.SAGAR, MR. RAJASHEKAR MURTHY S Department of ISE, R V College of Engineering, Karnataka, India
Abstract: Paraphrasing is a technique used to reframe the every word or phrase in a another way. The importance of a paraphrase is to clarify the content by re seeing and re-creating each word or phrase in every line. This paper presents paraphrasing sentences using synonym substitution, statistical model, semantic feature method. These methods are restricted to certain conditions. Paraphrase a word/sentence/passage when readers are not sure about its meaning. Restating a complex writing into simple terms may help better understand the content and purpose of the passage. Paraphrase recognition systems depend on lexical, syntactic and semantic features extracted from the candidate texts to identify equivalence. In the first approach, using data mining technology the target word and candidate phrases are retrieved from large corpus. It is simply extracting phrases from synonym dictionary.
Data Mining Techniques for Intrusion Detection A Review
ABHAYA, KAUSHAL KUMAR, RANJEETA JHA, SUMAIYA AFROZ M.Tech (IS), Department of Computer Scince & Engineering, Birla Institute of Technology, Mesra (Ranchi), India M.Tech (SE), Department of Software Engineering, Delhi Technological University, Delhi, India M.Tech (IS), Department of Computer Scince & Engineering, Birla Institute of Technology, Mesra (Ranchi), India M.Tech (IS), Department of Computer Scince & Engineering, Birla Institute of Technology, Mesra (Ranchi), India
Abstract: With the dramatically development of internet, Security of network traffic is becoming a major issue of computer network system. Attacks on the network are increasing day-by-day. The most publicized attack on network traffic is considered as Intrusion. Intrusion detection system has been used for ascertaining intrusion and to preserve the security goals of information from attacks. Data mining techniques are used to monitor and analyze large amount of network data & classify these network data into anomalous and normal data. Since data comes from various sources, network traffic is large. Data mining techniques such as classification and clustering are applied to build Intrusion detection system. An effective Intrusion detection system requires high detection rate, low false alarm rate as well as high accuracy. This paper presents the review on IDS and different Data mining techniques applied on IDS for the effective detection of pattern for both malicious and normal activities in network, which helps to develop secure information system.
Cloud Enabled Test Evaluation on Mobile Web Applications
K.VIVEKANANDAN, RAJKUMAR BHOJAN, SUBRAMANIAN GANESAN Professor, BSMED, Bharathiar University, Coimbatore, India Test Architect, Wipro Technologies, Bangalore, India Professor, Electrical & Comp. Engineering, Oakland University, Rochester, MI, USA
Abstract: As the mobile applications and mobile users are growing rapidly, it is indeed for researchers and testing experts to come up with effective verification techniques to ensure reliability of these mobile applications. An appropriate mobile quality framework would serve developers as a guideline for mobile quality assurance. In order to mitigate mundane manual testing on Mobile application, we have come up with a customized mobile test automation framework using SeeTest and Selenium TestNg flavor. In this paper we describe a cloud based evaluation on a multi lingual mobile application, sample regressing test cases on multi language applications, Framework for handling complex test cases, and an example automated test.
Keywords: Mobile Test Automation, Cloud based testing, framework, Regression Testing
HIMANSHU KAPOOR, POONAM SINGHAL, SUBODH BANSAL ECE Department, DCRUST Murthal, India ECE Department, DCRUST Murthal, India ECE Department, NCCE Israna, India
Abstract: The optical and wireless communication systems integration will activate the potential capacity of photonic technology for providing the expected growth in interactive video, voice communication and data traffic services that are cost effective and a green communication service. The last decade growth of the broadband internet projects the number of active users will grow to over 2 billion globally by the end of 2014. Enabling the abandoned capacity of photonic signal processing is the promising solution for seamless transportation of the future consumer traffic demand. Systems based on Radio over fiber have been studied and parameter changes have been investigated resulting into analysis for bidirectional RoF based on RSOA. RSOA works as amplifier and modulator. It utilizes OQPSK for the downlink and OOK for the uplink. Aim of bidirectional RoF system based on RSOA is to provide a economical system with more capacity. Parameters like eye diagram, BER, gain may be analyzed to compare bidirectional RoF system with the existing systems.
DR. B.V.RAMANA MURTHY, PROF. VUPPU PADMAKAR, MS. A.VASAVI Department of CSE Jyotishmathi College of Technology and Science, Shamirpet, Hyderabad, India Department of CSE, Chilkur Balaji Institute of Technology, Aziz nagar, Hyderabad, India Department of CSE Jyotishmathi College of Technology and Science, Shamirpet, Hyderabad, India
Abstract: This is the age of universal electronic connectivity, where the activities like hacking, viruses, electronic fraud are very common. Unless security measures are taken, a network conversation or a distributed application can be compromised easily. Information security has been affected by two major developments over the last several decades. First one is introduction of computers into organizations and the second one being introduction of distributed systems and the use of networks and communication facilities for carrying data between users & computers. These two developments lead to „computer security‟ and „network security‟, where the computer security deals with collection of tools designed to protect data and to thwart hackers. Network security measures are needed to protect data during transmission. But keep in mind that, it is the information and our ability to access that information that we are really trying to protect and not the computers and networks.
Parameter Estimation of Frequency Modulated Continuous Wave (FMCW) Radar Signal using Wigner-Ville Distribution and Radon Transform
SUDHIR KUMAR, AVINASH KUMAR DUBEY Department of Electronics and Communication Engineering, Thapar University
Abstract: In this study a time-frequency method based on Wigner-Ville Distribution (WVD) is used for detection and parameter estimation of Frequency Modulated Continuous Wave (FM-CW) Radar Signal. The proposed method uses the Pseudo-Wigner-Ville Distribution (PWVD) as a time-frequency detection technique and Radon Transform to identify the parameter of the modulation. The Wigner-Ville Radon Transform (WVRT) is suboptimal in detection and parameter estimation of FM-CW low probability of intercept (LPI) radar waveform. Autonomously detecting and analysing of FM-CW can eliminate the need of human intervention. It has been shown that the proposed algorithm can extract FM-CW radar modulation parameter efficiently.
Establishment of simulated Cloud on a LANÂ Â and Execute appropriate services like SAAS, Infrastructure service with security
VARUN C R, R.SRINIVASAN PG Student, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India Professor, Department of Computer Science & Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India
Abstract: An E-commerce software has been developed and implemented under a cloud with a view to upload this under public cloud as Application as Service. The application consists of a customer checking the goods on a merchants web site and placing the order, payment transaction done through bank and authentication for secure E-transaction (SET) verified via Dual Signature Process.
Dimensionality Reduction using Markov Model for Web Personalisation
VARUN HOODA, MAMTA KATHURIA Department of Computer Engineering, YMCA University of Science and Technology, Faridabad, Haryana, India
Abstract: One of the important applications of web mining is web personalization. Markov model is quite helpful technique in this regard. But this very model has limitation of large size data requirement and high dimensionality. This paper has efficiently dealt with the problem of high dimensionality in Markov model. Dimensionality is reduced by analyzing the users‟ access behaviour and clustering of web pages based on similar navigational pattern.
Keywords: Web mining, Markov model, Dimensionality, Personalization, Clustering, Analysis.
FPGA Based FNN for Accidental Fire Alarming System in a Smart Room
RASHMI G.P, NIRMALA.L P G Scholar, VLSI Design and Embedded systems, RITM, Bangalore, India Senior Assistant Professor, Electronics and Communication Engineering, RITM, Bangalore, India
Abstract: The main objective of the paper is to design and develop the Fuzzy Neural Network for increasing the efficiency of an application which is controlled by optimizing the area and power parameters based on FPGA. Fuzzy reasoning can express the qualitative aspect of human logic. It realizes the flexible reasoning corresponding to human logical reasoning, extensive research has been conducted into fuzzy reasoning. This paper describes the design and implementation of FNN for an embedded system for enhancing the performance using cognitive knowledge where in the proposed system a smoke sensor and a fire sensor is used to maintain the safety of a smart room driven by an FNN, where in an alarming system gives alarm for the safety measures and cuts off main power supply to avoid short circuits which may lead to huge destructions to property and lives .The paper describes the shortfalls of the different methods and the present technology are investigated to find out the advancements of new system. Also to analyse the scope for the performance enhancements with respect to present system. New architecture is simulated using Modelsim and Implemented on Spartan III FPGA and tested to reduce the power consumption and area on chip for the given system.
Keywords: Fuzzy Neural Network, Smart room, cognitive knowledge, Human logical reasoning, Fuzzy reasoning, Xilinx Spartan III FPGA, Modelsim
Design a multiband Rectangular ring antenna using DGS for WLAN, WiMAX Applications
GURBAZ SINGH, JASWINDER KAUR Student, Electronics and Communication Engineering Department, Thapar University, Patiala, India Lecturer, Electronics and Communication Engineering Department, Thapar University, Patiala, India
Abstract: The proposed antenna presents the design and analysis of triple rectangular ring antenna with Defected Ground Structure (DGS). The antenna used DGS to reduce the size of antenna. In this paper antenna enhance its performance in the area of WiMAX, WLAN and IMT band. The range of band (2.55-3.82 GHz), (4.84-6.0 GHz) and (7.01-7.30 GHz). This design represents multi band frequency with wide band width and better return loss due to DGS effect. In this design patch is made in the shape of rectangular ring and using FR-4 substrates with dielectric constant of 4.4 and tangent loss 0.0009 respectively. The Design is simulated with the help of Computer Simulation Technology Microwave Studio Version 10.0 (CST MWS V10.0). The design and performance are studied in term of improved return loss and band width.
Study of Localisation Methods of Mobile Users in Wireless Sensor Networks
MANOJ DUHAN, SATINDER Profeesor, ECE Department, DCRUST-Murthal, Sonipat, India M.TECH Student in ECE Department, DCRUST-Murthal, Sonipat, India
Abstract: To track the exact position of a mobile user is an important role for location services in an indoor environment. Low power, low cost and low complexity are the important characteristics of wireless sensor network. Indoor position system performance can be enhanced drastically with these properties. Diffraction, scattering and reflection has adverse effect on radio signal propagation, therefore the received signal strength requires good calibration method to provide accurate position. In this paper, grey prediction method is used in wireless sensor network and it makes use of wireless techniques (Zigbee/802.15.4). Received Signal Strength Indicator (RSSI) is predicted using the grey prediction, and Dynamic triangular (DTN) location method is also designed. For performance analysis, mean distant error of RSSI at offline stage on mobile user can be within 2.3m.In run time stage, grey prediction give more accurate predicted position and carries out mean distance error within 1.3 m.
Keywords: NLOS, Triangulation, RSSI, DTN and Grey Prediction.
Radial Basis Function (RBF) Based Routing Optimization for Wireless Sensor Network
NAVPREET KAUR, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Department of Electronics Technology, GNDU, Amritsar, India Assistant Professor, Department of ECE, Regional Campus GNDU, Sulatnpur Lodhi, India Assistant Professor, Department of Electronics Technology, GNDU, Amritsar
Abstract: Wireless Sensor Network (WSN) is supposed as the network of number of sensors nodes which are ready to communicate with one another through radio interface like wireless medium. Power consumption, routing and quality of service are the main concerning issues of WSN applications. We have been investigating the problem of optimization of routing in WSN based on radial basis function networks RBFN to increase the lifetime of wireless sensor networks. This approach of routing optimization of WSN is based on accuracy, training time of the sensor network that is needed to enhance the performance of optimized routing path. RBFN is very simple, adaptable and efficient method to increase the lifetime of networks.
Keywords: Wireless sensor networks, RBFN, link cost, accuracy and mean square error (MSE)
Adaptive Modulation of OFDM by using Radial Basis Function Neural Network
PARMINDER KAUR, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India Assistant Professor, Department of ECE, Regional Campus Guru Nanak Dev University, Sulatnpur Lodhi, India Assistant Professor, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India
Abstract: Adaptive communication is one of the methods used for high rate communication with efficient spectrum efficiency and with improved accuracy for future wireless communication systems. In this paper, we propose an adaptive modulated Orthogonal Frequency Division Multiplexing (OFDM) system based on Radial Basis Function (RBF) and then their performance (MSE) and classification accuracy is evaluated according to the number of neurons in the RBF network. Radial basis function (RBF) network which learns the features of M-QAM signal before reconstructing the correct signal under noisy conditions.
Keywords: Adaptive Modulation, Orthogonal Frequency Division Multiplexing (OFDM), Radial Basis Function Neural Network (RBFNN), Mean Square Error (MSE), Classification Accuracy.
A Dual band CPW Microstrip antenna for WLAN, WiMAX Applications
GOURAV HANS, JASWINDER KAUR Student, Electronics and Communication Engineering Department, Thapar University, Patiala, India Lecturer, Electronics and Communication Engineering Department, Thapar University, Patiala, India
Abstract: A novel dual band monopole planar antenna suitable for wireless applications has been discussed in this paper. The proposed antenna has two resonant modes which are associated with five slots which contribute the upper resonant frequency and can reduce the size of lower resonant length. The proposed antenna feed by coplanar waveguide (CPW). The antenna is simulated and the measured results show that operating band of proposed antenna cover (2.4-2.7 GHz) and (5.2-6.3 GHz) band with S11<-10dB which can meet the requirement of WLAN, WiMAX applications along with that it provide wide frequency band, moderate gain and return loss. The simulation has been done using computer simulation technology microwave studio version [10.0] [CST MWS V 10.0]
A Review on Offline Signature Recognition and Verification Techniques
SAMEERA KHAN, AVINASH DHOLE M-Tech Scholar, Department of Computer Science and Engineering, RITEE, Raipur, India Associate Professor, Department of Computer Science and Engineering, RITEE, Raipur, India
Abstract: As signatures are widely accepted bio-metric for authentication and identification of a person because every person has a distinct signature with its specific behavioural property, so it is very much necessary to prove the authenticity of signature itself. A huge increase in forgery cases relative to signatures induced a need of efficient “Signature Verification System”. These systems can be online or offline based on type of input taken by the system. This paper represents a brief review on various approaches used in signature verification systems.
Keywords: Signature, Biometric, Neural Networks, Off-line Signature Recognition and Verification.
SIDDHARTH JHUMAT, RAVINDRA KUMAR PURWAR M.Tech (CSE), USICT, GGSIPU, Delhi, India Associate Professor, USICT, GGSIPU, Delhi, India
Abstract: The velocity of the vehicle is calculated using the video frames that are captured from the video taken from a digital camera which is fixed on the road. Three techniques are implemented and compared. First technique is based on normalized cross correlation approach. Second technique is based on frame differencing approach and the third technique is based on optical flow.
Performance analysis of IEEE 802.15.4 based WSNs using energy efficient DYMO protocol
P.SAMUNDISWARY, G.R.K.SAI TEJA Assistant Professor, Department of Electronics Engineering, Pondicherry University, Pondicherry, India M.Tech. Student, Department of Electronics Engineering, Pondicherry University, Pondicherry, India
Abstract: Wireless Sensor Networks (WSNs) are an emerging field of engineering with various applications. IEEE 802.15.4 is the basis for the ZigBee enabled WSNs. The IEEE 802.15.4 standard is adopted as a communication protocol for Low Rate Wireless Personal Area Networks (LR-WPAN) which supports low data rate, low power consumption and short transmission distance. The IEEE 802.15.4 standard specifies the PHYsical (PHY) and Medium Access Control (MAC) layers and the ZigBee specifies the network and application layers in the IEEE 802.15.4 based WSNs. The Dynamic MANET On-demand (DYMO) routing is simple and the fast routing protocol used in IEEE 802.15.4 based WSNs and it is an enhanced version of Ad hoc On-demand Distance Vector (AODV). In this paper, performance analysis of IEEE 802.15.4 based WSNs using energy efficient DYMO protocol is done by varying speed and pause time of mobile nodes.
Extract Semantic Context Information for Intelligent Video Surveillance of Traffic scenes
REVANASIDDA, R.P.RAJESHWARI IV Semester, M.Tech., Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India M.Tech(CSE) Lecturer, Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India
Abstract: Surveillance are nothing but an monitoring, here we use an video surveillance to provide Security to the people to avoid the unusual or abnormal activities in the field. Visual surveillance systems are mainly used for public security. we try to Extract here semantic context information which including object-specific context and scene- specific context information to make an intelligent system with robust object detection, tracking, warning signals, classification and abnormal event detection. In object-specific context information, objects are classified into an meaningful categories. Object classification is also called as a co trained classifier, which takes advantage of the multi view information of objects and collects the strong features to identify an object and reduces the number of labeling training samples, is learned to classify objects into pedestrians or vehicles with high object classification performance. For each kind of object, we learn its corresponding semantic features includes: motion pattern each vehicles, width distribution, paths, and entry/exist points. Based on this information, it is efficient to improve object detection, tracking, abnormal event detection and warning signals recognition.
Keywords: object detection, object classification, Gaussian mixture model (GMM) and graph cut, object classification, object tracking, warning signals, video surveillance.
Change Detection In Synthetic Aperture Radar Images Based On Image Fusion And Fuzzy Clustering
NAVEEN KUMAR H, NAGESH BABU IV Semester, M.Tech., Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India Assistant Professor, Department of Computer Science & Engineering, Rao Bahadur Y.Mahabaleswarappa Engineering College, Bellary, India
Abstract: Change detection is the process of finding out difference between two images taken at two different times. With the help of remote sensing the . Here we will try to find out the difference of the same image taken at different times. here we use mean ratio and log ratio to find out the difference in the images. Log is use to find background image and fore ground detected by mean ratio. A reformulated fuzzy local-information C-means clustering algorithm is proposed for classifying changed and unchanged regions in the fused difference image. It incorporates the information about spatial context in a novel fuzzy way for the purpose of enhancing the changed information and of reducing the effect of speckle noise. Experiments on real SAR images show that the image fusion strategy integrates the advantages of the log-ratio operator and the mean-ratio operator and gains a better performance. The change detection results obtained by the improved fuzzy clustering algorithm exhibited lower error than its preexistences.
Speed Control of Hybrid Electric Vehicle Using Optimization Algorithm
AVTAR SINGH, ER. AMRIT KAUR Student of Department of Electronics and Communication Engineering, Punjabi University, Patiala, India Faculty of Department of Electronics and Communication Engineering, Punjabi University, Patiala, India
Abstract: Hybrid electric vehicle (HEV) is getting more attention recently because it has no emission of toxic gases which leads to global warming. Now a days, Particle swarm Optimization Gravity Search Algorithm (PSOGSA) is widely used for optimization, because of its faster convergence rate to the optimal minimum value than other optimization techniques. The main aim of this paper is to control the speed of non-linear hybrid electric vehicle by controlling the throttle position so as to get driving safety, improved fuel economy, reduced manufacturing cost and pollution. To control the speed of hybrid electric vehicle tuning of PID controller is done using particle swarm optimization gravity search algorithm. The performance of the technique is determined by taking mean square error(MSE) as a fitness function. The comparative study is carried out to identify the suitable optimization technique for controlling the various parameters of PID for HEV. The results obtained by tuning of PID with PSOGSA technique compared with other techniques such as Zeigler-Nichols tuning method and standard PID tuning.
NEHA KESHARWANI, S.P.UGALE Department of Electronics and Telecommunication, K. K. Wagh Institute of Engineering Education and Research, Nashik India
Abstract: Fingerprints are a great source for identification of individuals. It is one of the oldest form of biometric identification. Fingerprint friction ridge details are generally described in a hierarchical order at three different levels,namely,Level1(pattern),Level2(minutia points),and Level 3(Pores and ridges contour) Although latent print examiners frequently take advantage of Level 3 features to assist in identification, Automated Fingerprint Identification Systems (AFIS) currently rely only on Level 1 and Level 2 features. Level 3 features carry significant discriminatory information. In our project we have presented an automated Fingerprint recognition system which uses level 3 features in combination with level 2 features which makes a matching system more accurate, efficient and beneficial.
Keywords: Fingerprint recognition, high-resolution fingerprints, minutia, Level 3 features, extended features set, pores, ridges contour, string distance based matching.
Design of women safety system using RFID, 8051microcontroller and GSM based technology-a prototype
SHAIK MAZHAR HUSSAIN, SHAIK JHANI BHASHA Assistant Professor, ECE, MJCET, Hyderabad, India Assistant Professor, ECE, Gitam University, Hyderabad, India
Abstract: Security for women has become a major issue as the number of crimes over women and girls is increasing day-by-day. The implementation of women security system (wss) via RFID and GSM is to protect women and girls from sexual harassments and other forms of violence. In case of any harassment ,the women wearing a watch or band is embed with active RFID tag with on/off switch[1] where by switching on, the information is passed to RFID reader which communicates with 8051 microcontroller and through GSM the “help” message is sent to 4 predefined contacts(parents, friends, media, women cell).
Word-wise Script Identification in Document Images based on Steerable Gaussian Filtering Technique
V.S.MALEMATH, A.H.KULKARNI, H.MALLIKARJUN Department of CSE, KLE DR. M.S. Sheshgiri College of Engineering & Technology, Belgaum, Karnataka, India Department of CSE, KLS’s Gogte Institute Technology, Belgaum, Karnataka, India Department of CSE, KASCC, Bidar, Karnataka, India
Abstract: In this paper, a study on word wise script identification based on Steerable Gaussian filter for printed document images is carried out. The system is developed and tested for 3000 document image data set representing English, Hindi, Kannada, Tamil and Urdu script word images of 600 each. The system developed includes a feature extractor which is based on Steerable Gaussian filter technique and for classification K-nearest neighbor classifier and linear discriminate classification techniques are used. The feature extractor consists of application of steerable Gaussian filter at different orientations 0, 45, 90, 135, 30, 65, 155 and the associated standard deviation of the local orientation is used as the feature set thus contributing only seven features. The two classifications techniques were used for analysis of the new word-wise segmented documents. Classification accuracy averaged 97% across the five scripts .The method shows robustness with respect to noise, the presence of headlines, font sizes and styles.
An Optimization Technique for Wireless Mesh Networks
PUSHPENDER, SOHAN GARG Research Scholar, CSE, Shri Venkateshwara University, Amroha(UP), India Director, CSE, C.C.S. University, Meerut (UP), India
Abstract: Wireless mesh network is a most popular technology now a days due to its low installation cost, easily deployable, self configurable technology as compared to other competitive technologies. Access points/wireless routers and wireless nodes are the important part of this technology. In this paper, we present the optimized routing technique for wireless mesh network based on the Hopfield neural network and mobile agent technology and fuzzy logic system with primary goal to find an optimal route. Mobile agent technique is used to share the information of network conditions. Here, we realized the proposed routing technique through two independent methods. They are both based on the neuro-fuzzy logic. In first method, an optimized route is finding out based on multi criteria optimization in order to provide the best possible usage of resources. In second method, all routing minute to minute information is detected and shared all over the network. In this procedure, mobile agent technology has been proposed here. For optimization of the route, criteria are number of hops, link capacity and link occupancy. These criteria should use network resources as optimally as possible.
An Effective Approach of Prevention of Collision in Railway network
BISWAJIT GHOSH, VISHAL KUMAR, SONAL KUMAR KESHRI, ABHISEK ROY Assistant Professor, Dept of ECE, Birbhum Institute of Engineering & Technology, India B.Tech Student, Dept of ECE, Birbhum Institute of Engineering & Technology, India B.Tech Student, Dept of ECE, Birbhum Institute of Engineering & Technology, India B.Tech Student, Dept of ECE, Birbhum Institute of Engineering & Technology, India
Abstract: Railways being the being the largest transport network in India, it is of utmost importance to ensure the safety of this network. Major railway accidents occur due to collision of trains running on same track. This can be prevented by using a technology known as ACD (Anti collision Device). ACD is a fully integrated Electronic Control System which can be used to minimize collisions and increase safety on Railway system. It is a non signaling system that can provide additional cover of safety in train operations to prevent dangerous train collisions caused due to human errors or limitations and equipment failure. The purpose of our paper is to design an anti-collision system which will detect trains running on the same track and avoid accidents by providing an alarm to concern units. Such system will be able to report the problems to main control room, nearby station as well as grid control stations and avoid the disaster.
Keywords: 8051 Microcontroller, Motor Driver, IR LED, Photo Diode.
Computer Based Risk Analysis and Classification in Patients Suffering From Congestive Heart Failure
REDDY SANTOSH KUMAR, B. SREEPATHI M.Tech pursuing, Department of Computer Science and Engineering, RYMEC, Bellary, Karnataka, India Asst. professor & HOD, Department of Information Science and Engineering, RYMEC, Bellary, Karnataka, India
Abstract: Medical diagnosis is considered an art regardless of all standardization efforts made, which is greatly due to the fact that medical diagnosis necessitates an expertise in coping with uncertainty simply not found in today's computing machinery. The researchers are encouraged by the advancement in computer technology to develop software to assist doctors in making decision without necessitating the direct consultation with the specialists. Diagnosis of Heart disease is a important and critical task which can provide prediction about the heart disease so that treatment made easy. The main objective of this research is to develop a Disease Prediction Scheme using data mining modelling technique, namely, NaĂŻve Bayes. Here, data mining played a vital role in diagnosis of heart disease with improved value. So, analyzing those diagnosis techniques may lead to new improvement in area of research. This is implemented as web based questionnaire .Based on the answers, it can discover and extract hidden knowledge (patterns and relationships) associated with heart disease from a historical heart disease databank. It can answer difficult queries for analysing heart disease and thus assist healthcare practitioners to make intelligent clinical decisions which traditional decision support systems cannot. By providing perfect treatments, it also supports to reduce medical treatment costs effectively.
A Novel approach to design Fractional Order Digital Differentiator using Power Function and Least-Square method
AVINASH KUMAR DUBEY, DR. SANJAY KUMAR Research Scholar, Thapar University, Patiala, Punjab Assistant Professor, Thapar University, Patiala, Punjab
Abstract: In thi s p a p e r , we have proposed a t e c h n i q u e for designing of fractional order d i g i t a l differentiator by use of power f u n c t i o n and l e a s t -square method. The input signal is altered into a power function by using Taylor series expansion and its fractional derivativ e is calculated using the Grunwald-Letnikov explanation. Then, fractional order digital differentiator is demonstrated as a finite impulse response (FIR) system, which produces fractional order derivative of the Grunwald-Letnikov cat egory for a power function. The FIR system coefficients are achieved by using least square method . Two illustrations are used to demonstrate that the fractional derivative of the digital signals is calculated by using the suggested technique. The results of the second example divulges that the suggested method gives superior performance in comparison to existing filtering method.
Keywords: Digital differentiator, Fractional order differentiator (FOD), Finite impulse response (FIR), Fractional derivative, Least Square (LS) method, Grunwald-Letnikov definition.
JOSEPH HUDSON.B, DR. MEERA GANDHI Research Scholar, Department Of Computer Science And Engineering, Sathyabama University, Chennai, India Professor, Department Of Computer Science And Engineering, Sathayabama University, Chennai, India
Abstract: Sleep/Wake up scheduling algorithm has been proposed for event-driven sensor networks for delay-sensitive applications where events occur rarely. The most efficient research efforts in Wireless Sensor Network are focused on energy problem since the nodes are usually battery-powered. To prolong the network lifetime, few sleep scheduling methods are always required in Wireless Sensor Networks, resulting in significant broadcasting delay, especially in large scale WSNs. In order to reduce the delay of alarm broadcasting from any sensor node in WSNs, many methods have been employed, and it is a research challenge in Wireless Sensor Networks because the Critical event monitoring has become essential through WSNs. In our research work, the performance of the different sleep/wakeup scheduling algorithms has been analyzed for minimizing the broadcast delay in WSNs and described their boon and bane of event management analysis and the issues addressed through them. Also, the Critical risk factors and the disputes of current various scheduling schemes that are employed have been briefed to maximize the utilization of Wireless sensor Networks.
