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VOLUME 3, ISSUE 9, SEPTEMBER 2014
A Survey on Load Balancing in Cloud Computing Using Soft Computing Technique’s
Alok singh, Vikas Kumar Tiwari, Dr. Bhupesh Gour
Android Application for Detecting and Alerting Method of Epilepsy Seizures Using Brain Sensor
Sathish.Y, Balaji.S, Surabhi.S, Pradeep Kumar.K
Personalized Recommender System for Smartphones based on Application Usage
Chirag Hingorani, Reshma Bhatia, Omesh Pathai, Tarun Mirani
An efficient Video Transform Engine by Using Space-Time Scheduling Strategy
K.E. RAJIVA RANJAN, S.P.SURESH NAIK
Cooperative Multi-hop Protocol for Cluster Based Wireless Network
R.Suganya, V.Amudharani, S.Jemima Evangelin
Design and Development of Data Mining System to Estimate Cars Promotion using Improved ID3 Algorithm
Estimate Cars Promotion using Improved ID, Algorithm, M.Jayakameswaraiah, S.Ramakrishna
Generalized Forgy’s Algotithm for Efficient Image Segmentation
N.P.Dharani, N.Keerthi and K.Thirumalesh
Proxi Hunt – An Advertisement within Proximity
Romil Badhe, Hardeep Kaur Chaudhary, Mahesh Mungase, Pravin Shejul
Analysis of Shielding Effectiveness of Perforated Shields with Multiple Rectangular Apertures
S.Suresh, M.Loknath, Anil Kumar Patnaik, P.V.K.Durga Prasad, K.Yashoda
Design and Development of Hardware and Firmware for A Multifunctional SMD Frequency Synthesizer
K.KALPANA, N.V.SUDHEER, RADHA NAYANI
Data Leakage Prevention by Using Word Gram Based Classification and Clustering
Rohan Vadsola, Dev Desai, Mihir Brahmbhatt, Alpesh Patanwadia
An Overview of Multi-Authority Attribute Based Encryption Techniques
Dr. M.Newlin Rajkumar, Ancy George, Brighty Batley C
A Survey on Efficient Data Mining Techniques for Network Intrusion Detection System (IDS)
P.Kalarani, Dr.S. Selva Brunda
Experimental Characterization of Link Quality Indicator in an Indoor Environment using TelosB Sensor Nodes
NNEBE Scholastica .U, Nwankwo V.I
A Survey on Lightweight Protocol Using Dynamic Key for Wireless Sensor Network
Kusumlata Jain, Ankita Ojha
PCB defect detection based on pattern matching and segmentation algorithm
Jagadish.S.Jakati, Sidramayya S Matad
An Efficient Period Prediction System for Tamil Epigraphical Scripts Using Transductive Support Vector Machine
S Venkata Krishna Kumar Poornima T V
An Efficient Recommender System for Predicting Study Track to Students Using Data Mining Techniques
S.Venkata Krishna Kumar, S.Padmapriya
Comparitive Analysis of Anfis and Frbf- Survival Time Prediction of Lung Cancer Patient
S. Karthikeyeni, S. Ramya
A Novel Approach for the mitigation of the ICI due to the Joint presence of Carrier Frequency Offset and Phase noise
R.SRIKANTH, SK.IDRISH
Analysis of Different Pilot Patterns in Various Channels for DVB-T2
Channels for DVB-T, PRAMOD MOVVA, A KRISHNA CHAITANYA
A Novel Technique To Reduce Interference In Broadcast Bands From Mobile Bands
N.SAI SRAVAN, Dr.B.CHANDRA MOHAN, N.V.RAMANA
Performance Evaluation of feature extraction model to identify student appraisals
Mamta Singh, Jyoti Singh, and Arpana Rawal
Design of Efficient FIR Filter MAC unit Using Parallel Prefix Adder
J.Ravi, K. Rama Rao, N. Tirumala
Verilog Implementation of Floating Point FFT With Reduced Addressing Logic
D. Venkatesh Babu, K. Naresh Kumar
Abnormal Crowd Detection and Tracking in Surveillance Video Sequences
A.Niranjil Kumar, Dr. C.Sureshkumar
A Novel Fuzzy Spray Logic Used In Delay Tolerant Nerwork to Secure Routing Scheme
SHUBASHINI.B, DR.ANTONY SELVADOSS THANAMANI
Fit Assist Step count and Calorie Estimator using Accelerometer
Saiprasad Kashi, Chandrashekar Reddy, Prabhakar Reddy
Face Annotation Using Unsupervised Label Refinement and Facial Gesture Detection using Eigenfaces Algorithm
Madhumathi.k, Dr.Antony Selvadoss Thanamani
Wavelet Transform Based On Image Denoising Using Thresholding Techniques
M.Neelima, Md. Mahaboob Pasha
Development of an Acceleration-based Wireless Sensor Node Platform
Nwalozie G.C, Azubogu A.C.O, Okafor A.C, Alagbu E
Towards Improving Reliability in Cognitive Radio Ad hoc Networks
M. Kannan, V. Jaiganesh, B.Narasimhan
Improving the Existing Spectrum Sensing Techniques for Cognitive Radio using Modulation Techniques
Manthan D. Rana, Hina R. Patel
Reduced-Latency Algorithm for Finite Field Inversion in GF(2m)
Inversion in GF(, m, ), Walid Mahmoud, Saudi Arabia
Abstract
A Survey on Load Balancing in Cloud Computing Using Soft Computing Technique’s
Alok singh, Vikas Kumar Tiwari, Dr. Bhupesh Gour
Abstract: As the IT industry growing in day to day, the need of computing and storage is increasing sharply. Exchange of data over the network is also continuously increasing. New advance technology, cloud computing is become popular because of providing above services beneficially. Other vital technologies such as virtualization and scalability by creating virtual machines in cloud computing. In cloud computing web traffic and service provisioning is increasing day by day so load balancing is becomes a big research issue in cloud computing. Cloud Computing is a new propensity emerging in IT environment with in huge requirements of infrastructure and resources. Load Balancing technique for cloud computing is a vital aspect of cloud computing environment. Adept load balancing scheme ensures adept resource utilization by provisioning resources to cloud users on-demand services basis in pay-as-you-use manner. Load Balancing may further support prioritizing users by applying appropriate scheduling criteria. In this survey paper presents various load balancing schemes in different cloud computing environment basis on requirements specified in Service Level Agreement (SLA) process and Load balancers are used for assigning load to various virtual machines in such a way that none of the nodes gets loaded heavily or lightly. The load balancing needs to done properly because failure in any one of the node can lead to unavailability of data.
Keywords: cloud computing , load balancing , SLA , virtual machine , load balancing algorithm.
Keywords: cloud computing , load balancing , SLA , virtual machine , load balancing algorithm.
Abstract
Android Application for Detecting and Alerting Method of Epilepsy Seizures Using Brain Sensor
Sathish.Y, Balaji.S, Surabhi.S, Pradeep Kumar.K
Abstract: Since it a technology era, we can perceive that the technical development has improved in every field. Using this development, the world has gained a great deal even in the medical field. In the aware of that, all disorders have being cured by many technical equipments and detected effectively before it occurs. In that case, the Epilepsy disorder can be recognized and makes an alert to the people using an application in Android smart phones. This kind of application is already exists but it will send unwanted alert message. In this paper, we mainly focused on to avoid the unwanted alert message using brain sensor. It has an in-built function which can trigger alert messages whenever the brain function goes abnormal.
Keywords: Epilepsy disorder, Alert message, Brain sensor, Abnormal function of brain.
Keywords: Epilepsy disorder, Alert message, Brain sensor, Abnormal function of brain.
Abstract
BitCoin A New Paradigm in E – Commerce
Vasudha Kapil
Abstract: Electronic commerce (e- commerce) is generally known as doing business or trade using internet. It is a business model which facilitates the business or a firm to do business electronically. Bitcoin is a digital currency which allows transaction to be performed without banks or any other centralized system. Bitcoin enables person to transfer money without any transaction fee. Our paper is a study to analyse the advantage and disadvantage of bitcoin if it is being used in e-commerce in place of real money.
Keywords: E-commerce, bitcoin, digital currency, bitcoin mining
Keywords: E-commerce, bitcoin, digital currency, bitcoin mining
Abstract
Personalized Recommender System for Smartphones based on Application Usage
Chirag Hingorani, Reshma Bhatia, Omesh Pathai, Tarun Mirani
Abstract: The rebellious growth of the mobile application market has made it a significant challenge for the users to find relevant applications in crowded Application Stores. To diminish this problem, existing solutions often use the user's application-download history or user-rating to recommend applications that might interest them. However, the user downloading an application does not indicate that the user likes that application. Using user-ratings, on the other hand, suffers from tedious manual input and potential data insufficiency problems. In this paper, we present a system that makes personalized application recommendations by analyzing how the user actually uses his installed applications. Based on all user's application usage records, our system employs an item-based collective filtering algorithm for individualized recommendations.
Keywords: mobile application market, user rating, recommend applications, item-based collective filtering algorithm.
Keywords: mobile application market, user rating, recommend applications, item-based collective filtering algorithm.
Abstract
An efficient Video Transform Engine by Using Space-Time Scheduling Strategy
K.E. RAJIVA RANJAN, S.P.SURESH NAIK
Abstract: In the proposed system different optimization techniques are explored to improve the performance of the DCT. The latency of clock cycles of two dimensional DCT has been reduced by using pipelined and parallel processing of architecture. In the proposed system spatial scheduling strategy includes the ability to choose the distributed arithmetic (DA)-precision bit length, a hardware sharing architecture that reduces the hardware cost, and the proposed time scheduling strategy arranges different dimensional computations in that it can calculate first-dimensional and second-dimensional transformations simultaneously in single 1-D discrete cosine transform (DCT) core to reach a hardware utilization of 100%. The DA-precision bit length is chosen as 9 bits instead of the traditional 12 bits based on test image simulations. In addition, the proposed hardware sharing architecture employs a binary signed-digit DA architecture that enables the arithmetic resources to be shared during the four time slots.
Keywords: Discrete cosine transform (DCT), Binary signed-digit (BSD), space-time scheduling (STS, VHDL).
Keywords: Discrete cosine transform (DCT), Binary signed-digit (BSD), space-time scheduling (STS, VHDL).
Abstract
Cooperative Multi-hop Protocol for Cluster Based Wireless Network
R.Suganya, V.Amudharani, S.Jemima Evangelin
Abstract: In cooperative multi-hop protocol, the sending and transmitting nodes are connected with adjacent nodes for the purpose of communication. In this protocol, a cooperative protocol has a link with cluster based network and each node in cluster is act as a cluster header. The transmitter cluster will provide a cooperative multi-hop protocol for establishing the cluster based wireless network and we can save the energy of nodes up to 80% at the time of transmission. This energy will save by designing grid topology, as the same time randomly placing the cluster nodes in cooperative network and to save 40% of energy. This type of reduction in error rates and energy saving is used to increase the energy efficient of the clustered wireless network.
Keywords: cooperative networks, Clustering, cooperative transmission, energy-efficient protocols, Multi-hop protocol.
Keywords: cooperative networks, Clustering, cooperative transmission, energy-efficient protocols, Multi-hop protocol.
Abstract
Design and Development of Data Mining System to Estimate Cars Promotion using Improved ID3 Algorithm
Estimate Cars Promotion using Improved ID, Algorithm, M.Jayakameswaraiah, S.Ramakrishna
Abstract: Now a day‟s customers are required comfort and their loving brand & color. With the arrival of the Internet and Data Mining Algorithms has definitely contributed to the altar of marketing focus. Here, we proposed Improved ID3 algorithm for best car market analysis. We are executed the similar in Weka Tool with Java code. We have analyzed the graphical performance study between ID3 and our novel improved ID3 clustering algorithms with Classes to Clusters evaluation purchase, safety, luggage booting, persons, doors, maintenance and buying attributes of customer‟s requirements for unacceptable/acceptable/good/very good ratings of a car to purchase. Conservative way of business is a challenging in car market due to many competitors are there around the world for providing aggressive products. The car manufacturers categorizes the car users and have to discover a suitable car; the seller correctly groups the buyers and he sells a right car; and the customers selects best car by analyzing more brands of cars with „N‟ number of sellers. These three cases they spent too much of time for analyzing old or statistical records for choosing a right product.
Keywords: Supervised Learning, Weka, Classification, ID3, Improved ID3.
Keywords: Supervised Learning, Weka, Classification, ID3, Improved ID3.
Abstract
Generalized Forgy’s Algotithm for Efficient Image Segmentation
N.P.Dharani, N.Keerthi and K.Thirumalesh
Abstract: The use of the conventional watershed algorithm for different image analysis is widespread, such as always being able to produce a complete division of the image. However, its drawbacks include over-segmentation and sensitivity to false edges. We proposed a methodology which incorporates Forgy’s and improved watershed segmentation algorithm for image segmentation. The Forgy’s algorithm is an unsupervised learning algorithm, while the improved watershed algorithm makes the use of automated thresholding on the gradient magnitude map and post- segmentation merging on the initial partitions to reduce the number of false edges and over-segmentation. By comparing the number of partitions in the segmentation maps of images, we showed that our proposed methodology produced segmentation maps which have 92% fewer partitions than the segmentation maps produced by the conventional watershed algorithm.
Keywords: Thresholding, Segmentation, Clustering and Watershed algorithm.
Keywords: Thresholding, Segmentation, Clustering and Watershed algorithm.
Abstract
Proxi Hunt – An Advertisement within Proximity
Romil Badhe, Hardeep Kaur Chaudhary, Mahesh Mungase, Pravin Shejul
Abstract: Advertisements or vouchers are commonly used today to attract the attention and the purchase of consumers by providing discount or detailed description to customers. Typically, vendors use text to describe characteristic introductions and images to express appealing looks. In order to allow consumers to retrieve more information such as location of vendors, an advertisement publishing system should be improved to meet the consumer’s requirements. In this paper we introduce the Mobile Yellow Pages with User interest and Location Sensing Ensemble (Proxi Hunt) system which enables a user to see advertisements biased on their area of interest and obtain other important information about products and services offered by vendors such as local business, restaurants, hotels, shops, taxicabs, etc. Providing a powerful Android app in the hands of User to edit the choices of advertisement and providing an efficient, effective and reliable service to vendors by using both Android operating system & Java technology emerges as one of the hottest topic in the field of Information Technology.
Keywords: Android O.S, Location based services (L.B.S), Web Services, A-GPS
Keywords: Android O.S, Location based services (L.B.S), Web Services, A-GPS
Abstract
A Concise Survey on Text Data Mining
Patil Monali S, Kankal Sandip S
Abstract: In recent days the use of internet is growing rapidly. The data used and shared by the users on internet is in huge amount which is available in unstructured, semi- structured and structured form such as images, texts, audios or videos. For analysis and processing of such immense data, data mining came into picture. Data mining is the process of retrieving previously unknown and significant information from given set of data. Among the data available in digital form over the internet, 85% of data available is in unstructured form. Most of the data used is in text form such as Electronic mail, Internet chat, World Wide Web, Digital libraries, Electronic Publications, and Technical reports etc. For the purpose of knowledge discovery and information retrieval from such textual data text mining is used. Text mining is a kind of data mining technique responsible for retrieving valuable information from collection of text. In this paper, focus is on concept of text mining, text mining process flow, data mining methods used in text mining such as Clustering, Topic detection, Information Extraction and Natural Language Processing. Also presenting some real world applications of text mining.
Keywords: Unstructured Data, Semi-structured Data, Structured Data, Data mining, Natural Language Processing (NLP), Information Extraction (IE).
Keywords: Unstructured Data, Semi-structured Data, Structured Data, Data mining, Natural Language Processing (NLP), Information Extraction (IE).
Abstract
Analysis of Shielding Effectiveness of Perforated Shields with Multiple Rectangular Apertures
S.Suresh, M.Loknath, Anil Kumar Patnaik, P.V.K.Durga Prasad, K.Yashoda
Abstract: Shielding is a widely used technique to make any electronic device compatible to Electro Magnetic Interference (EMI). In this present work an efficient method is introduced for analyzing and calculating shielding effectiveness of perforated shields. The phenomenon of electromagnetic interference is presented for metallic shields. The properties and shielding effectiveness of a special class of polymers called „conducting polymers‟ are also presented here. The selection of the type of shielding material depends on the frequency of operation. In this work perforated shields with normal incidence of Electromagnetic (EM) waves, are analyzed using Transmission Line theory for rectangular multiple apertures. This analysis is presented to keep the design problems under scope for designing EMI systems.
Keywords: Electromagnetic Interference, Shielding effectiveness, Perforated shields, Rectangular Apertures
Keywords: Electromagnetic Interference, Shielding effectiveness, Perforated shields, Rectangular Apertures
Abstract
Design and Development of Hardware and Firmware for A Multifunctional SMD Frequency Synthesizer
K.KALPANA, N.V.SUDHEER, RADHA NAYANI
Abstract: The aim of this project is to design and develop hardware and firmware that are required for a multifunctional surface mount frequency synthesizer. The applications of this design includes following: a) Remote sensing Data down convertor b) QPSK Modulation
In Remote sensing data down convertor the frequency synthesizer, plays the important role of Local Oscillator carrier generation for mixing with the RF signal to generate fixed IF frequency. In the design of QPSK modulator it is used to provide variable clocks required by the FPGA to cater to the various data rates and also as the carrier signal. This development is centered around the design of SMD frequency synthesizer with Phase locked loop Logic.LMX 2541 ultralow noise frequency synthesizer is used here and it is initialized and configured for operation using AT89C55WD microcontroller unit. The firmware developed also includes handling peripheral devices like keypad and LCD display for configuration of the unit in stand-alone mode. The firmware was developed using Embedded C programming language on Keil platform.
Keywords: Remote sensing, frequency synthesizer, phase locked loop, KEIL
In Remote sensing data down convertor the frequency synthesizer, plays the important role of Local Oscillator carrier generation for mixing with the RF signal to generate fixed IF frequency. In the design of QPSK modulator it is used to provide variable clocks required by the FPGA to cater to the various data rates and also as the carrier signal. This development is centered around the design of SMD frequency synthesizer with Phase locked loop Logic.LMX 2541 ultralow noise frequency synthesizer is used here and it is initialized and configured for operation using AT89C55WD microcontroller unit. The firmware developed also includes handling peripheral devices like keypad and LCD display for configuration of the unit in stand-alone mode. The firmware was developed using Embedded C programming language on Keil platform.
Keywords: Remote sensing, frequency synthesizer, phase locked loop, KEIL
Abstract
Data Leakage Prevention by Using Word Gram Based Classification and Clustering
Rohan Vadsola, Dev Desai, Mihir Brahmbhatt, Alpesh Patanwadia
Abstract: Nowadays keeping one’s data safe and secure has become very difficult task. The theft and misuse of the data has become a reason of concern ranging from small kids to adults, from small scale industries to multi-national industries. So to prevent this data leakage is extremely necessary. There were many techniques invented like firewalls, anti-viruses, watermarking etc. to prevent this leakage but eventually all tend to fail. Furthermore another techniques were invented known as the Data Leakage Prevention Software (DLPs) which keep the track of data while they are being transferred in the network. We have done research on one such technique known as the word gram. In this paper, the different uses and methods of using the word gram has been shown. This technique classifies the data packets before sending them in the network and makes clusters so while receiving the clusters can be compared with the sent clusters and we can be sure that the data hasn’t been altered or interfered with during the transfer.
Keywords: Word Gram, Data Leakage and Prevention, Clustering, Frequency Matching, N-gram
Keywords: Word Gram, Data Leakage and Prevention, Clustering, Frequency Matching, N-gram
Abstract
Multi-Part Data Hiding in Audio Steganography
Uma Mehta, Mr.Daulat Sihag
Abstract: In the networking scenario, the information is shared among the users and this information should be confidential and authenticated to the receiver. The information should be kept in secure medium for protect from the intruders. So the data hiding technique should be used for keep the information available to the users.. The basic idea of proposed method is that the host signals (the sound wave cover media) undergoes pre-processing. The secret data is then hidden in a pre-processed fragmented sound wave using a traditional Steganography technique. The least significant-bit (LSB) based technique are very popular for Steganography in spatial domain. The simplest LSB technique simply replaces the LSB in the fragmented or multi-part audio file with the bits from secret information. The proposed methods offer high quality of Audio file with no loss of audio data. Only minor changes in the contents of the audio file occur, which are indiscernible to human ears. The algorithm has been proposed for Multi-part Data Hiding.
Keywords: Cryptography, Steganography, Multi-Part Audio, LSB, Hashing.
Keywords: Cryptography, Steganography, Multi-Part Audio, LSB, Hashing.
Abstract
An Overview of Multi-Authority Attribute Based Encryption Techniques
Dr. M.Newlin Rajkumar, Ancy George, Brighty Batley C
Abstract: Attribute based encryption (ABE) is a powerful encryption technique used in cloud computing, IoT, social networks and other technological fields where security and privacy are essential requirements of the system. There are different types of ABE schemes and this article highlights the features of multi-authority attribute based encryption (MA-ABE) schemes.A multi-authority ABE system consists of any number attribute authorities and any number of users. A set of global public parameters is defined in the system. A user can select an attribute authority and obtain the corresponding decryption keys. The authority executes the corresponding attribute key generation algorithm and the result is returned to the user. The encryption process uses the global public parameters and an attribute set to produce the ciphertext. Decryption is performed using the decryption keys for the attribute set.
Keywords: Attribute based encryption, MA-ABE, Multi-authority key policy attribute based encryption, Multi- authority ciphertext policy attribute based encryption, DABE
Keywords: Attribute based encryption, MA-ABE, Multi-authority key policy attribute based encryption, Multi- authority ciphertext policy attribute based encryption, DABE
Abstract
A Survey on Efficient Data Mining Techniques for Network Intrusion Detection System (IDS)
P.Kalarani, Dr.S. Selva Brunda
Abstract: Network security technology has become crucial in protecting government and industry computing infrastructure. Modern intrusion detection applications facing complex problems. These applications has to be require reliable, extensible, easy to manage, and have low maintenance cost. In recent years, data mining-based intrusion detection systems (IDSs) have demonstrated high accuracy, good generalization to novel types of intrusion, and robust behavior in a changing environment. Still, significant challenges exist in the design and implementation of production quality IDSs. Instrumenting components such as data transformations, model deployment, cooperative distributed detection and complex engineering endeavor. The IDS used data mining techniques for the network security, because to protect the network from various attacks and malicious traffic. This survey paper describes the Data mining approaches which are used to the detect intrusion in a network.
Keywords: Anomaly detection, Data mining, Intrusion detection system, Misuse detection.
Keywords: Anomaly detection, Data mining, Intrusion detection system, Misuse detection.
Abstract
Bluetooth and Wi-Fi Interference Simulations and Solutions
Guntaas Kaur
Abstract: Bluetooth and IEEE 802.11b or Wi-Fi, both use the same unlicensed Industrial, Scientific and Medical (ISM) band in the frequency range of 2.4 GHz. As the demand and utility of Bluetooth and Wi-Fi devices has increased, the number of co-located devices has also increased in number, so there can be interference issues related to these devices. This review paper investigates interference of Wi-Fi signal in Bluetooth data or voice link with the help of simulations from MATLAB Simulink Bluetooth full duplex communication model. This review paper also discusses the techniques to improve the performance of Bluetooth and Wi-Fi co-located systems.
Keywords: Bluetooth, IEEE 802.11b, ACL, SCO, SCORT, Adaptive Frequency Hopping.
Keywords: Bluetooth, IEEE 802.11b, ACL, SCO, SCORT, Adaptive Frequency Hopping.
Abstract
Experimental Characterization of Link Quality Indicator in an Indoor Environment using TelosB Sensor Nodes
NNEBE Scholastica .U, Nwankwo V.I
Abstract: Link Quality Indicator (LQI) is one of the important Link Quality Estimators (LQEs) in Wireless Sensor Networks (WSNs). However previous radios used in Wireless Sensor Network platform do not have LQI metrics in them. In this paper performance evaluation of LQI metric in an indoor environment was done. A test bed developed at the Faculty of Engineering building Nnamdi Azikiwe University was used. The test bed comprised of four sensor nodes in which one functions as the sink and the three others were placed at different angles with respect to the sink. Several measurements taken at different times were averaged, processed and analysed. LQI model of the test bed environment was developed using Linear Regression Analysis. The goodness of fit (R2) of the developed model was found to be 0.80.This shows that the model is good and can comfortably be applied to any environment with similar radio characteristics.
Keywords: TelosB node, Link Quality Indicator, Link Quality Estimator, WSN, test bed.
Keywords: TelosB node, Link Quality Indicator, Link Quality Estimator, WSN, test bed.
Abstract
High Performance E-Business using Application Level Caching
Shaina, Mrs.Anshu Kamboj
Abstract: E-commerce applications face many challenges in cost and manageability, especially for database servers that are deployed as those application’s backends in a multi-tier configuration. One solution is middle- Tier Database. For E-Commerce websites there are mainly two issues, cost and time. As the numbers of users increase, performance related issues needs to be solved by using caching concepts. In E-Commerce websites dynamic pages are used to provide wider range of interaction than static HTML pages. At the same time, much performance related issues arises by using dynamic page generation technologies because of load placed on server-side resources. For many web applications system support for caching is insufficient. This Paper provides a new way of Application level caching to improve performance of web applications. Concept of shared and unshared caching has been used in proposed method.
Keywords: Caching, Proxy, Shared, Unshared, Application.
Keywords: Caching, Proxy, Shared, Unshared, Application.
Abstract
A Survey on Lightweight Protocol Using Dynamic Key for Wireless Sensor Network
Kusumlata Jain, Ankita Ojha
Abstract: Wireless sensor networks have lots of interest in research department. Wireless sensor networks of thousand of minute devices capable of computation, communication and sensing. Security is a major concern over wireless network. The present work deal with a secure key management which provide the security for wireless sensor network. Conventional public key system may not be applicable because of restricted computing power and memory space. To s this problem a lightweight protocol is used. The present work the author has used random number to form the key .The key management method take part in an important task in security. The reward of present work is that for each pair new key is generated so it is very difficult to break. In the present work, for encryption and decryption, block cipher and dynamic key techniques is used. In this work dynamic key is generated using linear congruential generator. Most important advantage is that after encryption and decryption key is leftover. The result shows that our scheme provides better security connectivity in minor storage cost and in less time. In the recent year for security of data another technique is used known as key management. Another approach is used for data security is using the hash function. Wireless sensor network has the limited computing power and storage space due to this we create a lightweight protocol which contain the one-way hash function and XOR operations so that the production does not require high storage space and computing power.
Keywords: wireless sensor networks, dynamic key, LCG, encryption, decryption, hash function, lightweight protocol, Key distribution.
Keywords: wireless sensor networks, dynamic key, LCG, encryption, decryption, hash function, lightweight protocol, Key distribution.
Abstract
PCB defect detection based on pattern matching and segmentation algorithm
Jagadish.S.Jakati, Sidramayya S Matad
Abstract: This project presents a new implementation which separates two of the existing groups containing two defects each into four new groups containing one defect each by processing synthetic images of bare through-hole single layer PCBs using MATLAB Image Processing. This also will use Mathematical Morphological Toolbox here. Morphological process involves techniques such as dilation, erosion, opening and closing which helps in partitioning the images and associates certain types of defects with certain patterns. This project separates the defects in larger groups into smaller groups. This increases the efficiency of the inspection system in classifying defects. Since certain PCB pattern are produced in different processes, classification of defects can help in determining the root causes of error and reduce production cost in the long run. Focus is given to separate groups of defects in the hole segment, thick line segment and thin line segment.
Keywords: Image Processing, Printed Circuit Board, Defect Classification.
Keywords: Image Processing, Printed Circuit Board, Defect Classification.
Abstract
Different Scheduling Algorithms in Different Cloud Environment
Er. Shimpy, Mr. Jagandeep Sidhu
Abstract: Cloud computing is a promising technology for future computing platforms and is expected to provide easier access to remote computational resources that are usually locally limited. Scheduling with meta-heuristic algorithms is one of the active research area in cloud computing. The goal of cloud task scheduling is to achieve high system throughput and to allocate various computing resources to applications. The Complexness of scheduling problem increases with the size of the task and becomes highly difficult to solve effectively. Many different techniques have been proposed to solve this problem. Some of the methods are based on heuristic techniques that provide an optimal or near optimal solution for tasks i.e, large in size. In this paper we study different scheduling algorithms in different environments with their respective parameters.
Keywords: cloud computing, scheduling algorithms, importance, compare, parameter
Keywords: cloud computing, scheduling algorithms, importance, compare, parameter
Abstract
An Efficient Period Prediction System for Tamil Epigraphical Scripts Using Transductive Support Vector Machine
S Venkata Krishna Kumar Poornima T V
Abstract: Tamil is one of the ancient languages in the world with rich in literature. The writers used various materials like stone, metal, pottery, wood, palm leaves, cloth, conch shell, mural paintings and copper plates to encrypt their writing. The information gathered from these inscriptions gives us knowledge about the astronomy, history, culture, religious, economic tax, administrative and educational conditions. These epigraphical inscriptions plays an important role in knowing the civilized past and classification of characters belonging to various periods. Therefore a system is proposed to read the ancient Tamil characters belonging to various periods by testing a small amount of characters referred to as examined characters in Tamil language. These examined characters are taken from the script automatically and coordinate with the characters belonging to different periods using machine intelligence. Hence the proposed system consists of various modules like image acquisition, binarization, preprocessing, feature extraction, segmentation, and at last classification and prediction of period using Transductive Support Vector Machine (TSVM).The experimental results shows higher accuracy when compared with Support Vector Machine (SVM)
Keywords: Epigraphical Scripts, Tamil Language, TSVM, Feature Extraction
Keywords: Epigraphical Scripts, Tamil Language, TSVM, Feature Extraction
Abstract
An Efficient Recommender System for Predicting Study Track to Students Using Data Mining Techniques
S.Venkata Krishna Kumar, S.Padmapriya
Abstract: University or College admission is an intricate decision process but it is an important responsibility of the students to select the correct study track to succeed in their academic life. The complex issue is to assign students to the right academic field when they arrive at the end of basic education stage. In our research we propose a recommender system to students for their higher education which utilizes classification and clustering for recommending the right academic stream and colleges to the students. Instead of the traditional process the proposed system have many advantage such as high prediction accuracy, processing speed and flexibility etc. The decision tree classifier and fuzzy c-means clustering serves as the core design for the college and course prediction system. The system classifies the student and matches them to the proper study tracks according to their profile.
Keywords: Data Mining, Decision Tree, C4.5, Fuzzy C-Means, Recommender System.
Keywords: Data Mining, Decision Tree, C4.5, Fuzzy C-Means, Recommender System.
Abstract
Comparitive Analysis of Anfis and Frbf- Survival Time Prediction of Lung Cancer Patient
S. Karthikeyeni, S. Ramya
Abstract: Lung cancer also known as carcinoma of the lung or pulmonary carcinoma is a malignant lung tumor characterized by uncontrolled cell growth in tissues of the lung. Lung cancer is the leading cancer killer in both men and women. The five-year survival rate for lung cancer is 53.5 % for cases detected when the disease is still localized (within the lungs). However, only 15 % of lung cancer cases are diagnosed at an early stage. Over half of people with lung cancer die within one year of being diagnosed. This proposes a new model for prediction of complications developing due to survival time of lung cancer patients. This system compares the performance of various neuro fuzzy techniques such as ANFIS and FRBF.
Keywords: neuro fuzzy techniques, ANFIS, FRBF.
Keywords: neuro fuzzy techniques, ANFIS, FRBF.
Abstract
Security Solution for Android Application Assessment
Aparna Bhonde, Madhumita Chatterjee
Abstract: Android Operating System is dominating the share of smartphones. Mobile applications like banking, e-shopping, business apps used on these devices have become foundational tool for today‟s workforce. However the smartphone users are under continuous threat of exposure and misuse of their personal information due to rapid growth of malware for android which significantly exceeds that of any other platforms. Android being open platform supports the development of applications. Nowadays one can publish an application after registration as a developer for USD25. Due to its availability to all android users, the android market is the main channel of malware distribution. Along with its growth, the importance of security has also risen. A proportional increase in the number of vulnerabilities is also happening to the extent that there are limited numbers of security applications available to protect these devices. Among the security apps many antivirus which work on the application layer are present in the market which claims the security. However, the efficacies of these applications have not been empirically established. After studying the shortcomings and demerits of the available solutions, an enhanced security solution for android application assessment at the operating system level is suggested. Due to this solution, we are able to mitigate attacks caused by malwares on android smart phones due to variety of applications.
Keywords: Android, smartphones, application security, malware detection.
Keywords: Android, smartphones, application security, malware detection.
Abstract
A Novel Approach for the mitigation of the ICI due to the Joint presence of Carrier Frequency Offset and Phase noise
R.SRIKANTH, SK.IDRISH
Abstract: In this paper an algorithm is developed for the mitigation of the ICI due to the phase noise and carrier frequency offset. A simple modification to the previously developed ICI mitigation due to the phase noise will propose a new method for the mitigation of the ICI which increase in the complexity of the receiver due to the both phase noise as well as Carrier frequency Offset. The performance of the algorithm is verified by using the DVB-T2 receiver in presence of free running Oscillator.
Index: OFDM, DVB-T2, CPE, ICI, CFO, Phase Noise and VCO.
Index: OFDM, DVB-T2, CPE, ICI, CFO, Phase Noise and VCO.
Abstract
Analysis of Different Pilot Patterns in Various Channels for DVB-T2
Channels for DVB-T, PRAMOD MOVVA, A KRISHNA CHAITANYA
Abstract: This paper deals with an analysis of different pilot patterns in different real channels in order to test pilot patterns, compare them and determine in which conditions and scenarios their use is more appropriated. Simulations demonstrate that there is an optimum scattered pilot pattern for a specific channel condition, so an opportunity to choose the optimum pilot pattern to adjust to varying channel conditions dynamically is possible.
Keywords: DVB, Channel models, COFDM, LDPC
Keywords: DVB, Channel models, COFDM, LDPC
Abstract
Hybrid 3dtv For Next Generation By Using Dvb-T2-Lite
T-Lite, CH.SIVA PATTABHI, M.SUNEEL, SK.IDRISH
Abstract: This paper presents the 3D video compression, 3DTV system design and 3DTV display on implement for DVB-T2 terrestrial 3DTV broadcasting services. The 3D video compression and its display is the advent of HDTV and the availability of the bandwidth for the same, 3DTV transmission has finally become possible. However it requires some efficient compression algorithms so that it can be transmitted using the bandwidth of HDTV. We have employed MPEG2 for 3D video compression. And the 3D TV system design proposed by AVC encoded additional view video through mobile/handheld service channel, simultaneously. The proposed system support stereoscopic 3D HD services by mixed quality base/additional view image processing technology. In this system we are using DVB-T & T2 Lite standard.
Keywords: DVB-T2, T2-Lite, fixed and Mobile Hybrid 3DTV, Backward Compatibility.
Keywords: DVB-T2, T2-Lite, fixed and Mobile Hybrid 3DTV, Backward Compatibility.
Abstract
A Novel Technique To Reduce Interference In Broadcast Bands From Mobile Bands
N.SAI SRAVAN, Dr.B.CHANDRA MOHAN, N.V.RAMANA
Abstract: The ever increasing demand for multimedia wireless communication systems is a key feature of more advanced markets. The buzzword of personal communications, meant to provide “access to anyone, anywhere, at any time” to the wanted service, implies that spectrum demands are dramatically increasing in most developed markets. To cope with these needs, and in order to exploit the released spectrum resulting from the Digital Switchover, the last World Radio communication Conference (WRC-07) allocated on a co-primary basis the upper part of the UHF band to mobile services as from 2015. This will cause potentially harmful mutual interference between TV and mobile radio services that needs to be carefully analyzed. . In my paper, it is being suggested a novel based technique as an in-line filter to enhance protection level to DTT services.
Keywords: Co-channel interference, Digital Dividend, UHF band, DVB-T, LTE
Keywords: Co-channel interference, Digital Dividend, UHF band, DVB-T, LTE
Abstract
Performance Evaluation of feature extraction model to identify student appraisals
Mamta Singh, Jyoti Singh, and Arpana Rawal
Abstract: Educational Data mining techniques plays an important role in educational institution. It can be used to understand the difficulties arising in the teaching-learning professions. In machine learning, feature selection or Attribute analysis usually emerges as a pre-processing step. Feature selection is the problem of choosing a small subset of feature that ideally is necessary and sufficient for predictive / decision-making type of learning tasks. This study proposes a framework for identifying the most significant attributes towards academia, for the performance of second year students of computer science and application course. The authors realize that the some features are non-changeable and so do not contribute in upgraded academic performances of the students as they do not reveal any added academic effort. In this study, authors decided to work upon only external attributes of students by assigning weights that reflect their residual efforts put in for those attributes. The model is able to extract the fitness precedence relations of external efforts put up by student belonging to both „above-risk‟ and „at-risk‟ categories in their on-going course. The end-user can make use of these precedence relations to identify and resolve the most unfit governing factor for upgrading students‟ appraisals. The accuracy of these precedence relations is computed upon the most popular feature extraction (FE) algorithm „RELIEF „The model accuracy of 75% indicates the encouraging results in the direction of identifying graded precedence of the participating model attributes.
Keywords: Feature Extraction, Feature Selection, External Factors, NaĂŻve Bayesian classification. Attribute Relevance, Precedence Relations, Relief Algorithm, Nearest-Hit (Z+), Nearest-Miss (Z-)
Keywords: Feature Extraction, Feature Selection, External Factors, NaĂŻve Bayesian classification. Attribute Relevance, Precedence Relations, Relief Algorithm, Nearest-Hit (Z+), Nearest-Miss (Z-)
Abstract
Design of Efficient FIR Filter MAC unit Using Parallel Prefix Adder
J.Ravi, K. Rama Rao, N. Tirumala
Abstract: Digital Signal Processing (DSP) is a field of Utmost importance as it performs the processing of a digital signal. DSP techniques improve signal quality or extract important information by removing unwanted parts of the signal. This extraction of the unwanted parts of the signal is possible with the help of filters. A Finite Impulse Response (FIR) filters play a crucial role in many of the signal processing applications. The output is computed using Multiply and Accumulate (MAC) operations. The functionality of MAC unit enables high-speed filtering and other processing typical for DSP applications. A MAC unit consists of a multiplier and accumulator. In this paper multiplier is designed using modified Wallace multiplier and the adder used is Parallel Prefix Adder and is compared with other adders that is Carry Save Adder and Carry Select Adder. This Paper Presents Design of Low Power and High Speed MAC unit with Modified Wallace Multiplier and Parallel Prefix Adder (Kogge-Stone adder) for FIR filter. And it also gives the Comparison of three adders (Parallel Prefix Adder, Carry Save Adder, and Carry Select Adder) in Case of Power, Delay and Area. Modified Wallace multiplier with three different adders has been written Coded in VHDL and then synthesized and simulated using Xilinx ISE 9.2i. The MAC unit which designed by using Modified Wallace Multiplier and Parallel Prefix adder has consumes less Power and has less delay by when compared with other adders.
Keywords: Modified Wallace multiplier, Parallel prefix adder, Kogge-Stone adder, Carry Select adder, Carry Save adder.
Keywords: Modified Wallace multiplier, Parallel prefix adder, Kogge-Stone adder, Carry Select adder, Carry Save adder.
Abstract
A New approach for image processing using Cellular Automata
PRASHANT KUMAR, SINI SHIBU
Abstract: Face recognition has been one of the most interesting and important research fields in the past two decades. The existing algorithm represents some face space with higher dimensionality and it is not effective too. Our approach treats face recognition as two dimensional recognition problems. The face is represented as the eigenfaces which is eigenvectors. The goal is to implement the system (model) for a particular face and distinguish it from a large number of stored faces with some real-time variations as well. The Eigen face approach uses Principal Component Analysis (PCA) algorithm for the recognition of the images. It gives us efficient way to find the lower dimensional space. The experimental result shows the performance of the algorithm with the plot for the variation and image recognition.
Keywords: Computer Security, Eigen Face Recognition, Eigen Vectors, Information Security, Principle Component Analysis.
Keywords: Computer Security, Eigen Face Recognition, Eigen Vectors, Information Security, Principle Component Analysis.
Abstract
Verilog Implementation of Floating Point FFT With Reduced Addressing Logic
D. Venkatesh Babu, K. Naresh Kumar
Abstract: The Discrete Fourier Transform (DFT) can be implemented very fast using Fast Fourier Transform (FFT). It is one of the finest operations in the area of digital signal and image processing. FFT is a luxurious operation in terms of MAC. To achieve FFT calculation with a many points and with maximum number of samples the MACs requirement could not be matched by efficient hardware’s like DSP. So a fine solution is to use dedicated hardware processor to perform efficient FFT working out at high sample rate, while the DSP could perform the less concentrated parts of the processing. Verilog implementation of floating point FFT with reduced generation logic is the proposed architecture, where the two inputs and two outputs of any butterfly can be exchanged hence all data and addresses in FFT dispensation can be reordered.
Keywords: FFT, MAC, butterfly exchanging circuit, FPGA, DSP’s.
Keywords: FFT, MAC, butterfly exchanging circuit, FPGA, DSP’s.
Abstract
Privacy of Confidential Numerical Data
Vibhor Sharma, Shashi Bhushan, Ankur Choudhary, Sohan Lal
Abstract: In this paper, we have proposed a Dilation Based Transformation (DBT) algorithm for securing numerical attributes before they are shared for joint analysis. If we talk about the application of DBT, we have to consider horizontally partitioned data. So if this proposed work gets implemented we are able to preserve the privacy of confidential numerical data. If we are looking data for easily accessible locally by using distribution. We can use it for business growth. So for calculating meaningful, useful, previously unknown data from large databases, we used data mining technique and that for with preserving privacy use for shared data. So clustering on partitioned data and that for with preserving privacy of confidential data has been a vast area of research.
Keywords: DBT, Clustering, Classification, Data mining, Data Matrix.
Keywords: DBT, Clustering, Classification, Data mining, Data Matrix.
Abstract
Smart Access Technique in Corporate Sector Using Biometric Aspect
Sathish.Y, Surabhi.S, Sanila.S
Abstract: Access control is vital to provide a safe and secure environment. The process of designing an access control system that meets your needs involves amalgamation of appropriate technology which facilitates management and existing construction environment. In Information Technology, biometrics is expertise in measuring and analyzing human body characteristics, such as fingerprint, irises etc., for authentication purposes. In many organizations Swiping or Scanning the ID cards are used for registered entry of the employee that can be misused by any person which is highly insecure. To attain high security, we proposed a new Apps “MOVE ON” which incorporates entry to an organization provided by using a combination of Biometrics and Bluetooth 4.0 technologies in mobility which is trustworthy. The entry can be successfully computed even at a distance of 60m. This Apps provides an authentication with a strong degree of confidence.
Keywords: Access Control, biometrics, MOVE ON Apps, authentication.
Keywords: Access Control, biometrics, MOVE ON Apps, authentication.
Abstract
Abnormal Crowd Detection and Tracking in Surveillance Video Sequences
A.Niranjil Kumar, Dr. C.Sureshkumar
Abstract: We have proposed a method for abnormal crowd detection and tracking in this paper. Automated analysis of crowd activities using surveillance videos is an important issue for communal security, as it allows detection of dangerous crowds and where they are headed. Public places such as shopping centres and airports are monitored using closed circuit television in order to ensure normal operating conditions. Computer vision based crowd analysis algorithm can be divided into three groups; people counting, people tracking and crowd behaviour analysis. In this paper the behaviour understanding will be used for crowd behaviour analysis. The purpose of these methods could lead to a better understanding of crowd activities, improved design of the built environment and increased pedestrian safety. The experimental results show that the proposed method achieves good accuracy
Keywords: Background Modeling, Video Surveillance, Abnormal Crowd Detection, Crowd Tracking, Motion Analysis
Keywords: Background Modeling, Video Surveillance, Abnormal Crowd Detection, Crowd Tracking, Motion Analysis
Abstract
Lenkes Scoliosis Classification Using Image Processing Techniques
Anitha H
Abstract: One of major spinal deformities is scoliosis and is diagnosed using posterior-anterior radiograph. The diagnosis and subsequent treatment of the problem depends on the type of scoliosis. Classification by radiograph measure is used to determine the extent of arthrodesis. Although the Kings classification technique has been used more widely because of its simplicity; it is not as effective a method of classification as the Lenkes classification because of low intra observer and inter-observer reliability. Various aspects of the process to automate the efficient classification of Scoliosis radiographs on the basis of Lenkes system using image processing techniques is presented in this paper. Effective image segmentation techniques are used to extract the spinal boundary and inter-vertebral boundaries with help of different image processing software. These shall, in turn, be used in a formulated algorithm to determine and classify the type of scoliosis seen in a radiograph, based on Lenke’s classification system. Objective measurement by the proposed method can eliminate some sources of inter and intra observer error in classification of scoliosis.
Keywords: Scoliosis, Lenke’s Classification, Scoliosis classificaion
Keywords: Scoliosis, Lenke’s Classification, Scoliosis classificaion
Abstract
Fingerprint Based Licensing System for Driving
M. Vijay Kumar, S. Ranjith Kumar
Abstract: The paper presents the designing of finger print identification in cars to avoid car theft using GSM and FPGA. Fingerprint identification is one of the most popular and reliable personal biometric identification methods. The proposed system was designed on keyless car instead of going with key based authentication we are providing with biometric based authentication. A person, who wishes to drive the vehicle, should verify with their face reorganization and finger print whether he was having license or not, once verification done then ignition unit of car will start automatically. If the person is not verified in the Face recognition the alarm unit will be on, SMS and MMS will be sent to the owner.
Keywords: Alarm Unit, Authentication, Face Recognition and Finger Print Identification.
Keywords: Alarm Unit, Authentication, Face Recognition and Finger Print Identification.
Abstract
Fingerprint and Iris Recognition Using Cross Correlation
Uday A.R, G.Sreelakshmi
Abstract: Fingerprint – Iris recognition is done using many ways, we propose to use bifurcations along with ridge patterns to identify the fingerprint image and canny edge features to identify iris image. The ridges along with bifurcations are considered as minutiae of fingerprint. These minutiae along with their position (ie; x and y co- ordinates) and orientations are saved as features. We propose an novel matching scheme to detect the matched minutiae of pairs incrementally. The iris features are effective captured using edge detection algorithm. Following that, the maximum score is computed through cross correlation and used as the recognition parameters. This way of combination has provided efficient recognition results which had overcome the existing drawbacks. The experiments were conducted using FVC 2004 dataset images.
Keywords: Multimodal biometrics, fingerprint recognition, minutiae, iris recognition, Cross Correlation
Keywords: Multimodal biometrics, fingerprint recognition, minutiae, iris recognition, Cross Correlation
Abstract
A Novel Fuzzy Spray Logic Used In Delay Tolerant Nerwork to Secure Routing Scheme
SHUBASHINI.B, DR.ANTONY SELVADOSS THANAMANI
Abstract: Distruption Tolerant Network (DTN) Sometimes it’s in form of Delay/Disruption Tolerant Networking. Networking once involved huge computers that took up a large room and were stationary. Now networking devices are tiny and mobile. In a DTN network there may be repeated Disruptions or long Delays in the link between the network devices. In DTN an approach to computer network structural design that aims to attend to the technical issues in mixed networks that occurrence require in constant network connectivity. Delay Tolerant Networks (DTNs) make possible the data transfer when mobile nodes were only from time to time connected. Due to be short of reliable connectivity, DTN routing frequently follows store-carry-and-forward; i.e., after getting a few packets, a node carries that until it meet other node and then only it forwards the packets. while Delay tolerant network routing depend on mobile nodes to forward packets for other node, the routing concert (e.g., the amount of packets deliver to destinations) depends on whether the nodes comes in touch with every one or not.
Keywords: Delay Tolerant Networks (DTN); Epidemic; fuzzy; Prophet; Store-Carry-Forward, contact.
Keywords: Delay Tolerant Networks (DTN); Epidemic; fuzzy; Prophet; Store-Carry-Forward, contact.
Abstract
Fit Assist Step count and Calorie Estimator using Accelerometer
Saiprasad Kashi, Chandrashekar Reddy, Prabhakar Reddy
Abstract: A key challenge for mobile fitness is to develop new expertise that can assist individuals in maintaining a healthy lifestyle by keeping track of their everyday behaviours. With the advancement in technology, mobile phones or smart phones are in a hurry becoming the central computer and communication device in people’s lives. Mobile phones have got influence due to user friendly operating system Android with its wide range applications. Many instruments like Pedometers, Step count devices, Heart beat sensor’s etc., are gaining much importance as they are related to physical activities of humans. The availability of these sensors will revolutionize many sectors of our economy including healthcare, social networks, environmental monitoring and other sectors. Totally there are 14 sensors available in today’s Smartphone, and newly other sensors like finger print access and Heart monitoring sensors are also available in market. An accelerometer is a device that measures force resulting from movement. In research, these can be placed fairly unobtrusively on research participants to record the duration, frequency, and intensity of their motion. Accelerometer-based measures seem potentially more useful than other measures such as pedometers that can only count steps or other devices like video cameras or motion sensors that can only record motion in a specific area. The main objective of this paper is to develop an android application to track the user physical activity and estimate his energy expenditure using an inbuilt accelerometer and GPS in a smart phone within android device. To execute this arrangement, an android app has been developed to collect accelerometer data and calorie estimation in android SDK. It is an application implemented for smart phone with android operating system, which is open-source, easy to implement and expected to become dominant OS in the smart phone market. The need of this project is mounting now a day because today’s way of life involves less physically activity.
Keywords: Accelerometer, Smart Phone, Android, Calorie, Physical activity, Fitness.
Keywords: Accelerometer, Smart Phone, Android, Calorie, Physical activity, Fitness.
Abstract
Face Annotation Using Unsupervised Label Refinement and Facial Gesture Detection using Eigenfaces Algorithm
Madhumathi.k, Dr.Antony Selvadoss Thanamani
Abstract: The development of tools in media have witnessed an explosion of the vast number of digitalized photos .The present work focus only on the annotation of the faces, i.e labeling each image with a name and it does not focus on other aspects like expression, quality of the picture etc. we intent to go for the more useful information of different expressions in face and to categorize the image further into different expressive aspects. A lot of information is conveyed by human beings in the form of facial expression apart from just what is spoken. Proper recognition of such expression has thus become important for any modern human computer interface. We present here a method of facial expression recognition based on Eigen faces.
Keywords: Image mining, gesture detection, face annotation.
Keywords: Image mining, gesture detection, face annotation.
Abstract
Wavelet Transform Based On Image Denoising Using Thresholding Techniques
M.Neelima, Md. Mahaboob Pasha
Abstract: wavelet transforms enable us to represent signals with a high degree of scarcity .This is the principle behind a non-linear wavelet based signal estimation technique known as wavelet denoising. wavelet thresholding is a signal estimation technique that exploits the capabilities of wavelet transform for signal denoising. The aim of this project was to study various techniques such as visuShrink, SureShrink, NeighShrink(proposed method) and determine the best one for image denoising. VisuShrink and SureShrink, the thresholding application removes the coefficients that are in significant to some threshold. NeighShrink is an efficient image denoising algorithm based on the decimated wavelet transform (DWT). Its disadvantage is to use a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. In this paper, an improved method is given, which can determine an optimal threshold and neighbouring window size for every subband by the Stein’s unbiased risk estimate (SURE). In NeighShrink, optimal threshold and neighborhood window size in all subbands keep unchanged. In NeighShrink (proposed method), the Optimal threshold and Neighborhood window size in all subbands is changed. In NeighShrink(proposed method) we retain the required information from the removed coefficients by using neighborhood window size and optimal threshold. They threshold the wavelet coefficients in overlapping blocks rather than individually or term by term as VisuShrink or SureShrink.
Keywords: Image denoising, MSE, PSNR, Wavelet transforms, Neighborhood.
Keywords: Image denoising, MSE, PSNR, Wavelet transforms, Neighborhood.
Abstract
Frequent Item Mining Using Damped Window Model
K.Kannika Parameswari, Dr.Antony Selvadoss Thanamani
Abstract: In the modern days, streams of data can be constantly generated by sensors in various real-life applications such as environment surveillance. Due to the continous flow of transactions, data in these streams can be uncertain. To discover useful and potential knowledge in the form of frequent patterns from streams of uncertain data, a few algorithms have been developed. Most of the algorithm use the sliding window model for processing and mining data streams. However, for some applications, other stream processing models such as the time-fading model are more appropriate. In this paper, we propose mining algorithms that use the damped model to discover frequent patterns from streams of uncertain data.
Keywords: Knowledge discovery, data mining techniques, data streams, frequent item sets, probabilistic data
Keywords: Knowledge discovery, data mining techniques, data streams, frequent item sets, probabilistic data
Abstract
Proven Algorithmic Strategies for Information Protection
Ms.Gurpreet Kaur
Abstract: Information technology professionals, holding the responsibility of determining appropriate solutions for the security of confidential information, examine cryptographic approaches through algorithmic properties. Implementation of the symmetric-key and public-key strategies remain the most frequently applicable policies for professionals requiring the distribution of private information. The number of parties possessing access to secure information and the viability of prospective adversaries impact the decision-making process for a technical solution. After determining the nature of the communication stream, including the necessary technical properties, information technology professionals can identify specific algorithms for securing information. When communication streams require simple transactions of encryption and decryption by all parties, the symmetric-key strategy provides a convenient method for the protection and retrieval of information. For more complex networks of communication, the public-key strategy provides additional algorithmic structures to protect information from access by prospective adversaries. Applying both strategies simultaneously can assure maximum protection of the storage and distribution of confidential information.
Keywords: adversaries, algorithms, cryptography, public-key, symmetric-key.
Keywords: adversaries, algorithms, cryptography, public-key, symmetric-key.
Abstract
A Survey On LTE Downlink Packet Scheduling
Vallari Sharma, Prof. P.K Chopra
Abstract: Long term evolution (LTE) is a 3GPP (Third Generation Partnership Project) 4G technology which enhances the development in the field of telecommunication and by improving the performance of the network for the different types of traffic flows. As it is an all IP technology so, it is the most emerging technology now a days. The fact that 3G long term evolution is a packet based networks brings some improvements in the form of higher bit rate, lower latencies and a variety of services. This paper presents a survey of the different proposed scheduling algorithms under variable conditions and accordingly, the variation in their results in terms of the performance metrics like throughput, packet loss, delay time, spectral efficiency, fairness etc.
Keywords: Long term evolution (LTE), Channel Quality Indicator (CQI), Physical downlink common control channel (PDCCH), User Equipment (UE), Quality of Service (QoS).
Keywords: Long term evolution (LTE), Channel Quality Indicator (CQI), Physical downlink common control channel (PDCCH), User Equipment (UE), Quality of Service (QoS).
Abstract
Development of an Acceleration-based Wireless Sensor Node Platform
Nwalozie G.C, Azubogu A.C.O, Okafor A.C, Alagbu E
Abstract: A wireless sensor network is a distributed network made up of low-power consuming, low cost devices called sensor nodes which combine sensing, computation and communication. Sensor networks have enabled many applications, including remote tracking and monitoring of environments in real-time. It is of great value to use it where human is quite difficult to reach or where there are distributed sources of data. Power consumption and size are the most important consideration when nodes are designed for distributed wireless sensors. Consequently, it is of great importance to decrease the size of a node, reduce its power consumption and extend its life in network. This work describes the design and construction of an acceleration-based sensor node platform intended for use in sensor networks research. The system is made up of a hardware platform and a software stack for drivers and interfacing. The experiment results indicate that the node has the characteristic of high reliability, good stability and ultra low power consumption.
Keywords: Accelerometer, Wireless Sensor, and interfacing
Keywords: Accelerometer, Wireless Sensor, and interfacing
Abstract
Towards Improving Reliability in Cognitive Radio Ad hoc Networks
M. Kannan, V. Jaiganesh, B.Narasimhan
Abstract: Cognitive Radio Ad hoc Networks (CRAHNs) are the next generation networking technology. Reliability is the major research paradigm in the field of CRAHNs. The proposed work is an extension to AODV routing protocol. This paper proposes a mechanism for improving reliability using Reliable Transmission Algorithm in CRAHNs. The proposed routing mechanism is tested in NS2 simulator. The performance metrics throughput, packet delivery ratio and packets drop are taken into account. Simulation results shows that the proposed routing mechnaism achieves better relaibility than AODV routing protocol.
Keywords: Routing, Cognitive Radio, Networks.
Keywords: Routing, Cognitive Radio, Networks.
Abstract
Scene Classification Based on Feature Extraction
Punith Kumar M B, Dr. P S Puttaswamy
Abstract: The scene classification plays a vital role in many areas such as video indexing, video compression, video access and others which is the context of the object detection, recognisation and classification. This paper deals with the basic image analysis techniques like RGB, HSV and color histogram. The frame classification can be categorized in to a different classes like, indoor, outdoor, beach, party, roads, river, sky, play ground, etc here we are classifying the frames by considering the TV news video into anchor and reporter frames.
Keywords: Scene Classification, RGB, HSV, Color Histogram.
Keywords: Scene Classification, RGB, HSV, Color Histogram.
Abstract
Improving the Existing Spectrum Sensing Techniques for Cognitive Radio using Modulation Techniques
Manthan D. Rana, Hina R. Patel
Abstract: Cognitive Radio plays an important role in wireless communication. With the ever increasing demand for wireless communications, the spectrum has become a scarce resource. It is becoming a major obstacle for the development of new wireless technologies and introduction of new applications and services. Cognitive Radio (CR) is one of the major technologies that is the solution to the spectrum scarcity problem. It allows the use of spectrum in an efficient manner. The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. Although a lot of research has been done on techniques, but sensing of modulated signals hasn’t been analysed. In this work, an analytical study and simulation result of spectrum sensing techniques for cognitive radio will be presented. Results of spectrum sensing techniques like, energy detection, cyclo-stationary feature detection and matched filter detection will be analyzed. All the analysis will be done for modulated signal communication, as modulated signals brings us to a more practical approach. Modulation Using BPSK has been done so other technique QPSK will be used.
Keywords: cognitive radio, spectrum sensing techniques, Digital Modulation Techniques.
Keywords: cognitive radio, spectrum sensing techniques, Digital Modulation Techniques.
Abstract
An Analysis on Search Engines Techniques and Tools
R. Rubini, Dr. R. Manicka Chezian
Abstract: Web search is an integral part of our daily lives. Search engines help users locate particular information within large stores of content developed for human consumption. Search engines are developed using standard sets of realistic test cases that allow developers to measure the relative effectiveness of alternative approaches. A search engine is a tool that allows a user to enter keywords and retrieve information on websites contained in its catalog or database. Search engine tools like Google is run by search engine software that allows the database to be searched. The process of searching in the search engine is very efficient and more accurate. This paper surveys about how the search engines reduce the number of unwanted search results in the searching process.
Keywords: Indexing, Search Engine, Semantic Engine, Search Engine Optimization, Web Crawling
Keywords: Indexing, Search Engine, Semantic Engine, Search Engine Optimization, Web Crawling
Abstract
Reduced-Latency Algorithm for Finite Field Inversion in GF(2m)
Inversion in GF(, m, ), Walid Mahmoud, Saudi Arabia
Abstract: In this letter, we propose a novel reduced-latency finite field inversion algorithm for binary extension fields GF(2m) using normal basis representation. A similar approach to that in Itoh-Tsujii inversion algorithm is used, however, the latency is significantly reduced for the time required to perform the necessary multiplications for inversion, which is a function of the binary length of the extension degree of the concerned field. The latency of our proposed finite field inversion algorithm is always comparable to the best case scenario in Itoh-Tsujii inversion algorithm for any given extension degree , or equivalently, for any given GF(2m).
Keywords: Finite field inversion, Fermat's little theorem, normal basis representation, binary extension fields GF(2m).
Keywords: Finite field inversion, Fermat's little theorem, normal basis representation, binary extension fields GF(2m).
Abstract
A Methodology for the Development of Competencies Required by Industry
MUHAMMAD RASHID
Abstract: Conventional methodologies for teaching engineering courses are facing problems to address the challenges posed by the industry. Problem-based learning is an attractive solution with certain limitations. This article integrates the problem-based learning with contents-based learning. Contents-based learning only addresses the technical skills. Problem-based learning addresses the technical as well as the soft skills. The proposed methodology is implemented by taking the Digital System Design course as a case study. A comprehensive assessment through analysis of quantitative data proves viability of the proposed approach.
Keywords: Problem-based learning, Student outcomes, Soft skills, Digital design.
Keywords: Problem-based learning, Student outcomes, Soft skills, Digital design.