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VOLUME 3, ISSUE 12, DECEMBER 2014
Optimization of clustering process in heterogeneous wireless sensor network
SANJEEV KUMAR GUPTA, POONAM SINHA
Design of a Micro Strip Patch Antenna to Minimize Return Loss for Wi-MAX Application
A.S.M. BAKIBILLAH, MD. SAKHAWATH HOSSAIN, IVY SAHA ROY
Optimization Design of Query Processing Performance Using Appropriate Materialized View Selection & Preservation
S D CHOUDHARI
A novel approach to the hierarchical co-clustering in text mining with zone contents and metadata
RUCHA BHUTADA, D.A.BORIKAR
An efficient protocol for secure communication in Wireless Ad Hoc Networks
S.MOTHIVENKATA MANOJ, DR. S.VASUNDRA
Random Scan Algorithm for Image Steganography in Scilab for Security Purposes
ISHANT PREMI, MRS. SUKHJINDER KAUR
An open source approach for continuous speech recognition using hidden Markov models
GURUSIDDAPPA HUGAR, VISHWANATH HIREGOUDAR
Content based image retrival using invariant color and texture features
K.CHAITANYA SRUTHI, SHAIK.PEER AHAMED
Performance evaluation of adaptive bit interleaved coded modulation in OFDM with various fading channels
SIRUVURI UMA SANKAR RAJU, K.SURESH
Implementation of embedded shock and vibration monitoring system for underwater vehicles
P.RAGHAVA KUMARI, S.P.K.CHAITANYA, M.NIRMALA
Implementation of reversible vedic multiplier for low latency and reduced resources utilization applications
K.SRINIVASA RAO, G.SANKARA RAO
A strong and efficient privacy and security guarantee using CACHET
ADDANKI NAGESHWAR RAO, B.KAMESWARA RAO
Feasibility Study for Cloud Computing in Education Field Sudanese Research and Education Network (SudREN)
SHAKER KHAIRALLH SALEH, ASHRAF GASIM ELSID ABDALLA
A technical review on comparison of XEN and KVM hypervisors an analysis of virtualization technologies
MS JAYSHRI DAMODAR PAGARE, DR. NITIN A KOLI
Recognizing user activities in smart environments with automatically constructed fuzzy finite automata
H.KARAMATH ALI, DR. D.I.GEORGE AMALARETHINAM
A review on implementation of data scrambler & descrambler system using VHDL
NAINA K.RANDIVE, PROFESSOR G.P.BORKHADE
Comparative study and analyzes the power factor variation due to loading effect
JYOTI LALOTRA, ABHINAV SHARMA
A new modified RC6 algorithm for cryptographic applications
P.SRITHA, R.ASHOKKUMAR, S, BHUVANESWARI, M.VIDHYA
Watermark insertion and detection using contourlet and wavelet transforms
SHUBHRA BANERJI, DR. AVIJIT KAR
Delay sensitive analysis on wireless sensors network A Survey
S.THAMIZHARASAN, T.RAJAN BABU, S.SARAVANAN, V. PRASANNA VENKATESAN
A machine learning framework of neural network combined with PLS regression and artificial immune system for intrusion detection
G.V.PRADEEP KUMAR, D.KRISHNA REDDY
Implementation and analysis of real time obstacle avoiding subsumption controlled robot
VINAY S.DASMANE, MRYUTUNJAY R.MADKI
Preventing the falsified data injection attack through multiple relay network
M.PRIYANKA, G.PREMAPRIYA
Human thought controlled electrical switching using fast Fourier transform
PROF. GANESH S.DESHMUK, BHUSHAN P.RATHOD, TEJAS S.ZAGADE , NITIN D.PARKHE, PARESH L.WAGHMARE
Achieving low latency networks through high performance computing
CHANDRIKA PRASAD, VEENA G.S, CHIRAG AGRAWAL, ROBIN SRIVASTAVA
Subcarrier and power allocation in OFDM based cognitive radio networks A Survey
VIDHYA.B, RAMYAH.S.B, REVATHI.G
A Novel way of image encrption with piplining pixel scrambling and fractional fourier transform
SUNITA KUMARI, PRATAP SINGH PATWAL
A Novel routing protocol based on multipath routing for mobile adhoc networks
V.SRAVANI, K.C.K.NAIK, DR.CH.BALASWAMY
A Survey on various routing protocols in mobile ad hoc networks
SOMASUNDARAM R, SUMITHRA K, BHARATHI S
Swarm-based intelligent technique to prevent selective jamming attacks for dynamic topology
S.SURYA, D.SWATHIGAVAISHNAVE, T.KANIMOZHI
Automated attendance system using markov random field algorithm
ABHILASH MARADWAR, NIKITA SURYAWANSHI, TUSHAR PANPALIYA, SURAJ SONGIRE
A single natural image denoising based on independent component analysis
MR.VIPULPATIL, DR. A.J. PATIL
Survey the stochastic computing and probabilistic transfer matrix (PTM) in logic circuits
BAHRAM DEHGHAN, NASER PARHIZGAR
Comparison of cosine similarity and k-NN for automated essays scoring
DR. AHMED ABD EL-GHANY EWEES, DR. MOHAMED MOHAMED EISA, PROF. DR. MOHAMED MOHAMED REFAAT ELBASIONY
Arabic information retrieval system using the neural network model
ISSAM AL-HADID, SUHA AFANEH, HASSAN AL-TARAWNEH, HIBA AL-MALAHMEH
Abstract
Optimization of clustering process in heterogeneous wireless sensor network
SANJEEV KUMAR GUPTA, POONAM SINHA
Abstract: Wireless sensor Networks are resource constrained systems that needs efficient utilization of all resources. With the limited capabilities of sensor nodes in terms of energy resources, processing and communication range, the cluster based protocols (clustering protocols) should be compatible with these constraints. Clustering provides an effective method for enhancing the lifespan of wireless sensor network. Optimization of clustering process improves overall performance in terms of cluster head selection, cluster balancing, aggregation and communication.
Keywords: Energy optimization, clustering, communication, aggregation and lifespan..
Keywords: Energy optimization, clustering, communication, aggregation and lifespan..
Abstract
Design of a Micro Strip Patch Antenna to Minimize Return Loss for Wi-MAX Application
A.S.M. BAKIBILLAH, MD. SAKHAWATH HOSSAIN, IVY SAHA ROY
Abstract: This Worldwide Interoperability for Microwave Access (Wi-MAX) is a technology which maintains group of telecommunications protocols that enables final prop of delivering connectivity from a communication provider to customer and facilitates broadband access. Though broadband Internet access is not available in the inhabited and rural blackout areas, Wi-MAX can potentially eradicate this problem by using an antenna with reasonable bandwidth and high gain. Microstrip patch antenna is one of the most suitable candidates for this purpose and it is very popular among Local Area Network (LAN), Wide Area Network (WAN) and Metropolitan Area Network (MAN), technologies due to their advantages such as low cost, light weight, compatibility with integrated circuits, low volume and easy to install on rigid surface. This paper presents the design of a rectangular microstrip patch antenna operating at 3.5 GHz to achieve maximum bandwidth and the performance of the antenna at different operating frequencies is analyzed using Ansoft software to obtain minimum return loss for Wi-MAX application and is found to be -8.16 dB. The transmission line model is used for analysis.
Keywords: Wi-MAX, Microstrip Patch Antenna, Antenna Design, Ansoft Software, Return Loss
Keywords: Wi-MAX, Microstrip Patch Antenna, Antenna Design, Ansoft Software, Return Loss
Abstract
Optimization Design of Query Processing Performance Using Appropriate Materialized View Selection & Preservation
S D CHOUDHARI
Abstract: In this paper, we describe the effective design of materialized view selection and preservation in a data warehousing system. This design implementation aims to aid users in retrieving data effectively for business analysis. The skeleton design of this data warehousing system employs the dimensional modeling concepts of snowflake as well as star schemes. Here, some of frequently accessed queries are stored in various user files on which we apply materialized view selection process to create materialized views in order to minimize the query processing cost. A cost analysis model was developed to enable the estimate the total cost and benefit involved in selecting each materialized view. For effective materialized views selection and preservation methodology, WMVS and PMV algorithms has been implemented.
This algorithm takes into account an effective cost variables associated with the materialized views Selection and preservation method which includes query access frequencies, materialized view access frequencies, query processing costs, materialized view access cost ,query storage cost , materialized view storage cost and the availability of the system’s storage. The algorithm has been applied to dummy tables containing student information to create cost effective set of materialized summary views, , thereby resulting in an efficient data warehousing system where storage and query processing of the system is optimized.
Keywords: Materialized View, View-selection, Access Frequency, storage cost, Materialized view preservation, query processing
This algorithm takes into account an effective cost variables associated with the materialized views Selection and preservation method which includes query access frequencies, materialized view access frequencies, query processing costs, materialized view access cost ,query storage cost , materialized view storage cost and the availability of the system’s storage. The algorithm has been applied to dummy tables containing student information to create cost effective set of materialized summary views, , thereby resulting in an efficient data warehousing system where storage and query processing of the system is optimized.
Keywords: Materialized View, View-selection, Access Frequency, storage cost, Materialized view preservation, query processing
Abstract
A novel approach to the hierarchical co-clustering in text mining with zone contents and metadata
RUCHA BHUTADA, D.A.BORIKAR
Abstract: Nowadays, in many text mining applications, eloquent quantity of information from document is present in the form of text. This text information contains distinct types of data such as metadata and zones where metadata can also be called as side information which includes title, name of author, document provenance information, links in the document, user access behavior from web logs and the content of zone can be abstract, body, conclusion etc. It becomes difficult to cluster both the types of information as this text information contains noise which can either improve the aspect of illustration of mining process or can count up noise to the process. As a result of this, there is a need of upright way to carry through mining process so as to increase the superiority of the text information. Co- Clustering discovers clusters of similar objects with regard to the value as well as clusters of similar features with regard to the object associated by them. Conforming to that, this paper represents review on most clustering and co- clustering techniques containing different kinds of data.
Keywords: clustering, coclustering, metadata, text mining, zone.
Keywords: clustering, coclustering, metadata, text mining, zone.
Abstract
An efficient protocol for secure communication in Wireless Ad Hoc Networks
S.MOTHIVENKATA MANOJ, DR. S.VASUNDRA
Abstract: A spontaneous Ad Hoc networks are formed by a group of mobile terminals placed in a closed location used for communication and sharing resources and services, An authenticated protocol is a self- configured secure protocol that is used to create the network and share the services without any infrastructure. This protocol include all functions need to operate without any external support. This authentication protocol runs on the basis of the symmetric or asymmetric scheme and the trust between the users. This trust will create based on direct contact between the users. proposed protocol is an automated one which can create the network itself and share the services through that network securely without any infrastructure. This authenticated network not only allows sharing the services but also starting new services among the existing users in network in secured way. To create impulsive wireless Ad Hoc networks which is used to exchange the initial data and the secret keys? This protocol is also used for intruder detection that is detecting malicious nodes in the network. This Ad Hoc network increases the performance of the system and provides the security in the wireless Ad Hoc networks.
Keywords: Authenticated protocol, Impulsive network, Ad Hoc, Security, Intrusion detection
Keywords: Authenticated protocol, Impulsive network, Ad Hoc, Security, Intrusion detection
Abstract
Filtering intrusion detection alarms Using Ant Clustering approach
SALAH GHODHBANI, FARAH JEMILI
Abstract: With the growth of cyber attacks, information safety has become an important issue all over the world. Many firms rely on security technologies such as intrusion detection systems (IDSs) to manage information technology security risks. IDSs are considered to be the last line of defense to secure a network and play a very important role in detecting large number of attacks. However the main problem with today’s most popular commercial IDSs is generating high volume of alerts and huge number of false positives. This drawback has become the main motivation for many research papers in IDS area. Hence, in this paper we present a data mining technique to assist network administrators to analyze and reduce false positive alarms that are produced by an IDS and increase detection accuracy. Our data mining technique is unsupervised clustering method based on hybrid ANT algorithm. This algorithm discovers clusters of intruders’ behavior without prior knowledge of a possible number of classes, then we apply K-means algorithm to improve the convergence of the ANT clustering. Experimental results on real dataset show that our proposed approach is efficient with high detection rate and low false alarm rate.
Keywords: Intrusion detection system, Alarm filtering, ANTClass, ant clustering, intruders’ behaviors, false alarms
Keywords: Intrusion detection system, Alarm filtering, ANTClass, ant clustering, intruders’ behaviors, false alarms
Abstract
Random Scan Algorithm for Image Steganography in Scilab for Security Purposes
ISHANT PREMI, MRS. SUKHJINDER KAUR
Abstract: In this paper, after entering the Secret Key the encrypted data is generated by determining their class. After that encrypted data is hidden in random bits of cover image using XORing method. By doing XORing the probability of pixel variation reduces as compared to replacing method as done in LSB or Modified LSB method. In this paper calculate the MSE, PSNR and Correlation Factor for Random Scan Algorithm in Scilab. In this paper also draw histograms between Cover image and Stego image to show how much Pixels variation.
Keywords: Steganography, MSE, PSNR.
Keywords: Steganography, MSE, PSNR.
Abstract
An open source approach for continuous speech recognition using hidden Markov models
GURUSIDDAPPA HUGAR, VISHWANATH HIREGOUDAR
Abstract: Speech is a basic mode of communication between us and most natural efficient form of exchanging information. Speech Recognition is a conversion of an acoustic waveform to text. Speech can be isolated, connected and continuous type. The goal of this work is to recognize a Continuous Speech using Mel Frequency Cepstrum Coefficients (MFCC) to extract the features of Speech signal, Hidden Markov Models (HMM) for pattern recognition and Viterbi Decoder for decoding of speech signal. Continuous Speech files of the TIMIT standard database are used for the work. The recognition success rate is calculated for the entire database, separate Training and Testing files are found in the database and we also prepared a small set of database used in our work. For the complete process we used Hidden Markov Model Tool Kit (HTK) which is an Open source tool developed by Cambridge University Engineering Department (CUED), which contains a set of standard C Programs for feature extraction, model building and for decoding purposes, for the entire work Linux Operating System fedora is used, The objective of the work is to develop an open source HTK based Continuous Speech Recognition & to obtain better recognition accuracy for large vocabulary size.
Keywords: Speech recognition, feature extraction, pattern recognition, HTK, TIMIT, HMM
Keywords: Speech recognition, feature extraction, pattern recognition, HTK, TIMIT, HMM
Abstract
Intelligent fire sensing using wireless sensor network
PRADEEP KUMAR, M.S.ANURADHA
Abstract: Forest and rural fires are one of the main causes of environmental degradation in Mediterranean countries. Existing fire detection systems only focus on detection, but not on the verification of the fire. However, almost all of them are just simulations, and very few implementations can be found. Besides, the systems in the literature lack scalability. In this paper we show all the steps followed to perform the design, research and development of a wireless multisensor network which mixes sensors with IP cameras in a wireless network in order to detect and verify fire in rural and forest areas of Spain. We have studied how many cameras, sensors and access points are needed to cover a rural or forest area, and the scalability of the system. We have developed a multisensor and when it detects a fire, it sends a sensor alarm through the wireless network to a central server. The central server selects the closest wireless cameras to the multisensor, based on a software application, which are rotated to the sensor that raised the alarm, and sends them a message in order to receive real-time images from the zone. The camera lets the fire fighters corroborate the existence of a fire and avoid false alarms. In this paper, we show the test performance given by a test bench formed by four wireless IP cameras in several situations and the energy consumed when they are transmitting. Moreover, we study the energy consumed by each device when the system is set up. The wireless sensor network could be connected to Internet through a gateway and the images of the cameras could be seen from any part of the world.
Keywords: multisensory, wireless sensor network.
Keywords: multisensory, wireless sensor network.
Abstract
Content based image retrival using invariant color and texture features
K.CHAITANYA SRUTHI, SHAIK.PEER AHAMED
Abstract: Content Based Image Retrieval (CBIR) techniques appeared in 1990s. It uses low-level features like color, texture and shape to describe image content, and breaks through the limitation of traditional text query technique. This project we are proposes an image retrieval method based on color-feature and texture-feature similarity score. Many methods can be used to describe color feature. In this project we will use color moment method because it has the lowest feature vector dimensions and lower computational complexity. The HSV color space is describes a specific color by it’s hue, saturation, and brightness values. For the similarity measurement the first order mean, the second standard deviation, and the third skewness color moments have been provided to be efficient and effective in representing color distribution of images. In this paper, the retrieval results from color feature and texture feature are analyzed, furthermore texture can be through as repeated patterns of pixel over a spatial domain. Since there is no mathematical definition for texture, many different methods are proposed for computing texture. Here we are used different distance based similarity measurement methods are proposed, before we are doing texture features apply ranklet transform can be calculated at different resolutions using Haar wavelet supports.
Keywords: Smart antenna; wireless mobile network; adaptive antenna; broadcast scheduling.
Keywords: Smart antenna; wireless mobile network; adaptive antenna; broadcast scheduling.
Abstract
Performance evaluation of adaptive bit interleaved coded modulation in OFDM with various fading channels
SIRUVURI UMA SANKAR RAJU, K.SURESH
Abstract: Bit-interleaved coded modulation (BICM) is a flexible modulation/coding scheme which allows the designer to choose a modulation constellation independently of the coding rate. This is because the output of the channel encoder and the input to the modulator are separated by a bit-level interleaver. In order to increase spectral efficiency, BICM can be combined with high-order modulation schemes such as quadrature amplitude modulation (QAM) or phase shift keying techniques. BICM is particularly well suited for fading channels, and it only introduces a small penalty in terms of channel capacity when compared to the coded modulation capacity for both additive white Gaussian noise and fading channels. In this paper an adaptive BICM technique is proposed and modelled with one of the modulation schemes in OFDM and verified with various channel models. The results pertaining to these studies are mentioned. It is evident that the proposed ABICM is validated for the channel models.
Keywords: Bit-interleaved coded modulation (BICM), OFDM, QAM.
Keywords: Bit-interleaved coded modulation (BICM), OFDM, QAM.
Abstract
Implementation of embedded shock and vibration monitoring system for underwater vehicles
P.RAGHAVA KUMARI, S.P.K.CHAITANYA, M.NIRMALA
Abstract: Embedded Shock and Vibration monitoring system is considered to be the most effective method for analyzing the performance of the underwater vehicle and also for early fault detection. Shocks and vibrations of underwater vehicles cause the systems sometimes malfunction, faulty and sometimes fail. To avoid the failure of the systems the shocks and vibrations of the vehicle is to be evaluated and controlled. For monitoring these parameters a sophisticated monitoring system is required. The main aim of this work is Development and Testing of an embedded FPGA based 3-axis simultaneous shock and vibration system for monitoring of shocks and vibrations in the underwater vehicle. The shock and vibration monitoring system consists of piezoelectric accelerometers which perform well over the wide range of temperature and resists damage due to severe shocks and vibrations to acquire the vibration signals. This project proposes a data acquisition system to monitor and analyze the shock and vibration data along the three axes (horizontal, vertical, axial).During the real time mode the system can be used to monitor either shock or vibration signals from accelerometer representing the shock or vibration data along the three axes is recorded and stores in the NAND flash memories. During the offline mode, data will be retrieved to PC through USB. Retrieved data will be processed and plots will be created using MATLAB.
Keywords: NAND FLASH memory, FRAM memory.
Keywords: NAND FLASH memory, FRAM memory.
Abstract
Novel power –up sequence control for MTCMOS designs
BANGURU NAGARJUNA, T.PRASHANTH
Abstract: Power gating is effective for reducing standby leakage power as multi-threshold CMOS (MTCMOS) designs have become popular in the industry. However, a large inrush current and dynamic IR drop may occur when a circuit domain is powered up with MTCMOS switches. This could in turn lead to improper circuit operation. We propose a novel framework for generating a proper power-up sequence of the switches to control the inrush current of a power- gated domain while minimizing the power-up time and reducing the dynamic IR drop of the active domains. We also propose a configurable domino-delay circuit for implementing the sequence. Experimental results based on state-of- the-art industrial designs demonstrate the effectiveness of the proposed framework in limiting the inrush current, minimizing the power-up time, and reducing the dynamic IR drop. Results further confirm the efficiency of the framework in handling large-scale designs with more than 40 K power switches and 50 M transistors.
Keywords: multi threshold, CMOS, leakage power, VLSI
Keywords: multi threshold, CMOS, leakage power, VLSI
Abstract
Implementation of reversible vedic multiplier for low latency and reduced resources utilization applications
K.SRINIVASA RAO, G.SANKARA RAO
Abstract: Reversible computation is an emerging area of research, having applications in nanotechnology, low power design and quantum computing. It is proved that reversible logic has zero internal power dissipation. Multiplication plays an important role in the processors. It is one of the basic arithmetic operations and it requires more hardware resources and processing time than the other arithmetic operations. Vedic mathematic is the ancient Indian system of mathematic. It has a unique technique of calculations based on 16 Sutras. The multiplication sutra between these 16 sutras is the Urdhva Tiryakbhyam sutra which means vertical and crosswise. In this paper it is used for designing a low latency and reduced resources 4*4 Vedic multiplier. The important parameters in designing reversible logic circuits like no of flipflops,no of LUT’s , Total Equivalent gate count for design are estimated and reported for our proposed reversible Vedic multiplier.
Keywords: Include at least 4 keywords or phrases
Keywords: Include at least 4 keywords or phrases
Abstract
A strong and efficient privacy and security guarantee using CACHET
ADDANKI NAGESHWAR RAO, B.KAMESWARA RAO
Abstract: This project is motivated by the recognition of the need for a finer grain and more personalized privacy in data publication of social networks. We propose a privacy protection scheme that not only prevents the disclosure of identity of users but also the disclosure of selected features in users' profiles. An individual user can select which features of her profiles she wishes to conceal. The social networks are modelled as graphs in which users are nodes and features are labels. Labels are denoted either as sensitive or as non-sensitive. We treat node labels both as background knowledge an adversary may possess, and as sensitive information that has to be protected. We present privacy protection algorithms that allow for graph data to be published in a form such that an adversary who possesses information about a node's neighbourhood cannot safely infer its identity and its sensitive labels. To this aim, the algorithms transform the original graph into a graph in which nodes are sufficiently indistinguishable. The algorithms are designed to do so while losing as little information and while preserving as much utility as possible. We evaluate empirically the extent to which the algorithms preserve the original graph's structure and properties. We show that our solution is effective, efficient and scalable while offering stronger privacy guarantees than those in previous research.
Keywords: Privacy, CACHET, protection, social networking
Keywords: Privacy, CACHET, protection, social networking
Abstract
Feasibility Study for Cloud Computing in Education Field Sudanese Research and Education Network (SudREN)
SHAKER KHAIRALLH SALEH, ASHRAF GASIM ELSID ABDALLA
Abstract: The cost of managing, acquiring and maintaining IT infrastructure is one of the main factors that facing Sudanese higher educational institutions in Sudan to adopt and implement eLearning. Recently, cloud computing has emerged as a new computing paradigm for delivering cost effective computing services that can be used to harness eLearning. However, the adoption of cloud computing in Sudanese higher educational institutions in Sudan is very low. Although there are many factors that may influence educational institutions to adopt cloud services, cost effectiveness is often a main factor. The objective of this paper is to declare feasibility study for cloud computing in education field, taking Sudanese research and education network SudREN case study, that with introduce their current resources use in Sudanese research and education network and there need additional resource require to implemented cloud computing in Sudanese higher educational institutions.
Keyword: Cloud computing, SaaS, PaaS, IaaS, Sudanese Research and Education Network (SudREN).
Keyword: Cloud computing, SaaS, PaaS, IaaS, Sudanese Research and Education Network (SudREN).
Abstract
An approach to video steganography using novel substitution technique
AKASH AGRAWAL, D.A.BORIKAR
Abstract: The secure communication is very necessary in today’s world as various valuable information is shared over the network. So there is a possibility that this information can be hacked by attackers. Therefore to keep the information secure many algorithms of steganography and information hiding have been proposed. But at the same time many powerful steganographic analysis software programs are there which can retrieve the valuable secret information that has been embedded in the carrier files.These steganographic algorithms are detected by steganalytical detectors because of the lack of security and embedding efficiency.So to overcome such issue a secure video steganography technique is propose in this paper which is based on the principle of LSB substitution which cannot be easily detected by steganalytical detectors and also will provide high embedding payload with high embedding efficiency.
Keywords: Video Steganography, LSB Substitution, Cryptography, Hamming code, Digital watermarking.
Keywords: Video Steganography, LSB Substitution, Cryptography, Hamming code, Digital watermarking.
Abstract
A technical review on comparison of XEN and KVM hypervisors an analysis of virtualization technologies
MS JAYSHRI DAMODAR PAGARE, DR. NITIN A KOLI
Abstract: This paper presents the recent technical survey on comparison of Xen and KVM Hypervisors. Hypervisors are widely used in cloud environments and virtualization through the use of hypervisors has become widely used. This paper reviews in depth analysis of virtualization technologies experimented by researchers from feature comparison to performance analysis. This paper will be useful for researchers to work on appropriate hypervisors.
Keywords: Virtualization, Hypervisors.
Keywords: Virtualization, Hypervisors.
Abstract
Recognizing user activities in smart environments with automatically constructed fuzzy finite automata
H.KARAMATH ALI, DR. D.I.GEORGE AMALARETHINAM
Abstract: In order to provide personalized services, an activity recognition system has to decide the current activity performed by the user before the user finishes the activity, and it has to predict the next likely activity. This requirement strongly suggests the need for online recognition of activities to provide context-aware assistance or guidance. For online recognition the system must keep track of the changes in the sensing environment, and for each change in the sensor outputs, it has to decide whether there is any change in the activity performed by the user. The system can use the previous inputs upto the most recent one to decide which activity is performed. But, the system should not wait for future inputs for making decisions. This paper proposes an extension of the earlier methods for automatically constructing an automaton for online recognition of user activities. When tested with a publicly available data set, the proposed methods achieve highly promising results.
Keywords: Pervasive Computing, Context Awareness, Activity Recognition, Online recognition, Finite Automata, Environmental Sensors, Activities Of Daily Living, Smart Environments.
Keywords: Pervasive Computing, Context Awareness, Activity Recognition, Online recognition, Finite Automata, Environmental Sensors, Activities Of Daily Living, Smart Environments.
Abstract
A review on implementation of data scrambler & descrambler system using VHDL
NAINA K.RANDIVE, PROFESSOR G.P.BORKHADE
Abstract: Multimedia data security is very important for multimedia commerce on the internet and real time data multicast. An attractive solution for encrypting data with adequate message security at low cost is the use of Scrambler/Descrambler. Scramblers are essential components of physical layer system standards besides interleaved coding and modulation. Scramblers are successfully used in modern VLSI design especially those are used in data communication system either to secure data or re-code periodic sequence of binary bits stream. However, it is necessary to have a descrambler block on the receiving side while using scrambling data in the transmitting end to have the actual input sequence on the receiving end. Scrambling/ De-scrambling are an algorithm that converts an input string into a seemingly random string of the same length to avoid simultaneous bits in the long format of data. Scramblers have many uses in today's data communication protocols. However, those methods that are theoretical proposed are not feasible in the modern digital design due to many reasons such as slower data rate, dropping information, circuit hazards, uncountable delays etc. Therefore it is required for the modern digital design to have modified architecture to meet the required goal. We will propose here modified scrambler design which is perfectly suitable for any industrial design. Besides, we showed simulation result, detailed analysis and usage in digital design.
Keywords: Scrambler, Descrambler, VHDL, and FPGA.
Keywords: Scrambler, Descrambler, VHDL, and FPGA.
Abstract
Comparative study and analyzes the power factor variation due to loading effect
JYOTI LALOTRA, ABHINAV SHARMA
Abstract: Power factor is most important for all industrial as well as domestic sectors. In this research paper present the comparative study and analyzes the power factor variation due to loading effect. For this comparison we take different values of inductance, three different range of capacitor and two range of resistance and their total impedance is calculated. The calculated theoretical and practical values of power factor on the basis of different combination loads. Pure sinusoidal sine waves are displayed in computer through sound card and calculate the load phase angle between the fundamental components of the load voltage and current.
Keywords: Microcontroller, power system, signal processing technique, power factor, resistance, inductance, capacitance.
Keywords: Microcontroller, power system, signal processing technique, power factor, resistance, inductance, capacitance.
Abstract
A new modified RC6 algorithm for cryptographic applications
P.SRITHA, R.ASHOKKUMAR, S, BHUVANESWARI, M.VIDHYA
Abstract: Cryptography is the science of using mathematics to encrypt and decrypt data. Cryptography finds its application in the areas of Wireless Sensor Network, Smart Card, Identification, and Security. With the ever increasing growth of data communication in the field of ecommerce transactions and mobile communication data security has gained utmost importance. However the conflicting requirements of power, area and throughput of such applications make hardware cryptography an ideal choice. In this context, the RC6 algorithm plays a major role in the hardware cryptography. The conventional RC6 algorithm has difference structure of encryption and decryption. So that the algorithm occupies separate space for encryption and decryption unit which leads to increase in area. Here algorithm is devised by inserting a symmetric layer in which the half of whole RC6 rounds uses encryption procedure and the rest of process employs decryption one. Thus it leads to reduce in area and it has made compromise of speed also.
Keywords: Cryptography, Wireless Sensor networks, RC6 algorithm, encryption, decryption
Keywords: Cryptography, Wireless Sensor networks, RC6 algorithm, encryption, decryption
Abstract
Watermark insertion and detection using contourlet and wavelet transforms
SHUBHRA BANERJI, DR. AVIJIT KAR
Abstract: Digital watermarking is now an established & cost effective method for data authentication and for protection of multimedia data. Many standard and commercially available software are available for this purpose. In this paper an attempt has been made to modify the method of Reddy and Chatterji [13, 14] by using contourlet transform for the watermark signal. The theoretical background of the method along with the simple development of the contourlet transform has been given. The algorithms for watermark insertion and detection are provided. The method was used for many different types of images and watermarks. A set of five such results are given along with the PSNR (peak signal to noise ratio) values of watermarked images and the detected watermarks.
Keywords: Contourlet transform HVS characteristics, Laplacian pyramid decomposition, directional filter bank, covariance of watermark coefficients.
Keywords: Contourlet transform HVS characteristics, Laplacian pyramid decomposition, directional filter bank, covariance of watermark coefficients.
Abstract
Comprehensive study of non touch enable password system
MONICA VARIA, HARDIK MODI
Abstract: Since computer has been invented, people are using many devices to interact with computer and devices such as tablets, smart phones, etc. In the current age of technology, the user is expected to touch or non touch the machine interface to give input. Hand Gesture, where natural hand or red tape is used to communicate without touching machine interface. It gives a feeling of natural way of interacting with the devices. This paper presents the techniques used to interact with machine interface. Different non touch enable technologies through which user can give input to the particular system. Also introduces to the red color detection technology which is cost effective. This technology can be used in real time applications for password system in the areas like ATM, Jewellers Shops, Home Security, etc. This can be an attempt to replace stylus and keyboards with the natural finger without touching the screen.
Keywords: Hand Gesture; Non Touch Enable Technologies; Red Color Detection; ATM; Jewellers Shops; Home Security
Keywords: Hand Gesture; Non Touch Enable Technologies; Red Color Detection; ATM; Jewellers Shops; Home Security
Abstract
Delay sensitive analysis on wireless sensors network A Survey
S.THAMIZHARASAN, T.RAJAN BABU, S.SARAVANAN, V. PRASANNA VENKATESAN
Abstract: In Wireless Sensor Networks, many new protocols have been designed to reduce overall end-to-end delay when transmitting the data gathered by the sensor node to the storage sink. Most of the importance have been given to the delay sensitive applications and reduce the delay using routing protocols. This paper makes a survey on recent routing protocols which reduce the delay in delay sensitive applications. Several delay types are identified and moreover founded that solutions are given mainly for queuing delay and propagation delay. Finally, we comment on the research issues are open in several delay types
Keywords: Wireless sensors network; Routing protocol; Reducing Transmission delay, MAC protocol.
Keywords: Wireless sensors network; Routing protocol; Reducing Transmission delay, MAC protocol.
Abstract
A machine learning framework of neural network combined with PLS regression and artificial immune system for intrusion detection
G.V.PRADEEP KUMAR, D.KRISHNA REDDY
Abstract: An intrusion is essentially an attack on security layer in a TCP/IP protocol stack. Such attacks have definite signature for instance specific ports or RTT. Hence such attacks can be detected by cross verifying current communication signature with attack signatures. However attack signatures are evolutionary. Therefore using a string matching technique is neither robust nor fast. Hence several machine learning techniques are developed which are mainly based on classifier. These classifiers lack generalization capabilities which result in less performance leading to high false positives. However a specific attack can have wide range of signatures and a signature may of wide range of attacks. Therefore conventional classifiers like Neural Network needs frequent training when a new signature is discovered. Again discovery of such new signature also needs a regression with existing signature database. In order to avoid exploding the training nodes of Neural Network, it is important that a benchmark is set of introduce new nodes. In this paper we use Artificial Immune System mark the signatures as genes. A packet or network level signature is verified for closeness with existing model. In case of significant diversification is detected, the signature is marked as new which is regressed with the existing signature model to automate the grouping of the signature. Signature similar to existing ones is subjected to regression using PLS method and is then classified by neural network. This paper evaluates the performance of technique using the publicly available KDD Cup dataset and compares the result with conventional Neural Network Based Classifier, Support Vector Machine based Classifier, pure regression based technique and conventional string matching technique. Further we investigate the real time applicability of the technique by using PLS Regression to detect anomaly in CIT college router dataset. We consider that the connections by peer clients should only be accessing internet. Other activities like using Bittorrent are considered as anomaly. First we take router log and extract the features. We then select a specific data row and classify it using auto regression.
Keywords: PLS Regression, Neural Network, KDD, DDoS.
Keywords: PLS Regression, Neural Network, KDD, DDoS.
Abstract
A study of multi-oriented text recognition in natural scene images
MONA SAUDAGAR, S.V.JAIN
Abstract: The extraction of text in an image is a classical problem in the computer vision. With the increasing popularity of practical vision system text recognition in natural scenes becomes a critical task. Text data present in images and video contain useful information for automatic annotation, image indexing. But as natural scene images contain complex background, multiple fonts and orientations, and different alignments make the problem of automatic text extraction extremely challenging. This paper gives overview of work done for automatic detection of text from images and explains the methodology to extract and recognize multioriented text in natural scene images.
Keywords: Text Extraction, Text Recognition, K-means Clustering, Binarization, Sliding Window, OCR, Hidden Markov Model, Neural Networks.
Keywords: Text Extraction, Text Recognition, K-means Clustering, Binarization, Sliding Window, OCR, Hidden Markov Model, Neural Networks.
Abstract
Implementation and analysis of real time obstacle avoiding subsumption controlled robot
VINAY S.DASMANE, MRYUTUNJAY R.MADKI
Abstract: Reactive robots provide more rapid and flexible response than is attainable through traditional methods of robotic control. The subsumption based architecture is reactive control system which it is also referred to as behaviour- based robots. They are instructed to perform through the activation of collection of low-level primitive behaviours. For real time obstacle avoiding robots, a reactive control system is most suitable as it tightly couples perception therefore in this paper design and implementation of subsumption based reactive control system is presented.
Keywords: Obstacle avoidance, Reactive Robot, Subsumption based architecture.
Keywords: Obstacle avoidance, Reactive Robot, Subsumption based architecture.
Abstract
Preventing the falsified data injection attack through multiple relay network
M.PRIYANKA, G.PREMAPRIYA
Abstract: A relay network is a broad class of network topology commonly used in networks, where the source and destination are interconnected by means of some nodes. In such a network the source and destination cannot communicate to each other directly because the distance between the source and destination is greater than the transmission range of both of them, hence the need for intermediate node(s) to relay. The problem of detecting malicious relay nodes in single source, multi-relay networks has been studied in the literature for different relaying strategies. Relay nodes in apply network coding while those in and follow the decode-and-forward protocol. The authors consider a peer-to-peer (P2P) network in which peers receive and forward a linear combination of the exogenous data packets.
To check the integrity of the received packets, a signature vector is generated at the source node and broadcasted to all nodes where it is used to check the integrity of the received packets. In and several information theoretic algorithms for mitigating falsified data injection effects are proposed. The network model used in these works is composed of a single source, multiple intermediate nodes which apply network coding. We consider a multiple access relay network where multiple sources send independent data to a single destination through multiple relays, which may inject falsified data into the network. To detect the malicious relays and discard (erase) data from them, tracing bits are embedded in the information data at each source node.
Keywords: Multiple Access Relay Network, Tradeoff Between Reliability And Security, Falsified Data Injection Attack
To check the integrity of the received packets, a signature vector is generated at the source node and broadcasted to all nodes where it is used to check the integrity of the received packets. In and several information theoretic algorithms for mitigating falsified data injection effects are proposed. The network model used in these works is composed of a single source, multiple intermediate nodes which apply network coding. We consider a multiple access relay network where multiple sources send independent data to a single destination through multiple relays, which may inject falsified data into the network. To detect the malicious relays and discard (erase) data from them, tracing bits are embedded in the information data at each source node.
Keywords: Multiple Access Relay Network, Tradeoff Between Reliability And Security, Falsified Data Injection Attack
Abstract
Human thought controlled electrical switching using fast Fourier transform
PROF. GANESH S.DESHMUK, BHUSHAN P.RATHOD, TEJAS S.ZAGADE , NITIN D.PARKHE, PARESH L.WAGHMARE
Abstract: A brain-computer interface (BCI) is a new communication medium between the human brain and a digital world. BCI is emerging technology which can be used at every corner. The ambitious goal of a BCI technology can be the restoration of movements, communication, and environmental control for physically challenged people. An Electroencephalogram (EEG) based brain-computer interface will be connected with a system in order to control home application. It offers an alternative to natural communication and control. It is an artificial system that bypasses the body normal communication pathways. Different brain states are the result of different patterns of neural interaction. These patterns lead to waves characterized by different amplitudes and frequencies. Every interaction between neurons creates a minuscule electrical discharge. This project deals with the signals from the brain, as the different brain states are the result of different patterns of neural interaction. The signal generated by brain will be received by the brain wave sensor and it will divide into packets and the packet data transmitted to the wireless medium. The wave measuring unit will receive the brain wave raw data and it will convert into digital signal using MATLAB GUI platform. The interrupt generated will be sent to the microcontroller to operate the modules. The system operates with condition of appliance is based on changing with user’s cognitive state.
Keywords: BCI (Brain Computer Interface), EEG (Electroencephalograph), FFT (Fast Fourier Transform).
Keywords: BCI (Brain Computer Interface), EEG (Electroencephalograph), FFT (Fast Fourier Transform).
Abstract
A model to ensure data integrity in the cloud
TAWFIQ S. BARHOOM, ZAKARIA KH. SAQALLAH
Abstract: Cloud computing refers to the delivery of computing resources over Internet, there are significant concerns and security challenges appear about releasing control over user's data, because the Cloud service provider could intentionally or accidentally alter or delete some information of the user. It is not easy for the user to verify that his data is secure. In this paper, we are going to focus on cloud data storage to ensure the integrity of user's data in the cloud. We built a model with dynamic data operations support including data append, update and delete, including online and offline monitoring to ensure data integrity of user's in the cloud based on verification tokens and local database repository, taking in our consideration the size of data file and network bandwidth. Performance and efficiency evaluations show that the model is highly efficient against malicious data modification attack.
Keywords: Cloud computing, Cloud service provider, dynamic data operations support, Online Auditing, Offline VerificationI-
Keywords: Cloud computing, Cloud service provider, dynamic data operations support, Online Auditing, Offline VerificationI-
Abstract
Achieving low latency networks through high performance computing
CHANDRIKA PRASAD, VEENA G.S, CHIRAG AGRAWAL, ROBIN SRIVASTAVA
Abstract: We define latency as the time taken to deliver a unit of data from one point to another point in the system. Low latency networks refer to the networks where systems, their architecture, hardware and protocols are designed to bring down this latency. The question that why latency is so important can be answered by mentioning the fact that many applications such as voice transmission, networked gaming, and video transmission, interactive sessions solely depend on the latency of the network. The components of latency include Hardware: Every hardware comes with its own advantages and limitations. For example, some have fixed packet size whereas other may have variable size. Routers and Switches: All the networks components follow their own queuing strategies or congestion control strategies. Traditionally, processing of packets is dependent on the rate on incoming packets. System Latency: The packets to and fro between the application the network interface and this surely forms a part of the latency. Potentially, interruption by system can introduce infinite amount of latency. OS Latency: The processing of the packets by the OS consumes time. It de-multiplexes the packets and sends them to their respective destinations. Application Latency: The application need sufficient amount of CPU resources to perform the task.
Keywords: PCI, PCI-x, DLL, UNET
Keywords: PCI, PCI-x, DLL, UNET
Abstract
Subcarrier and power allocation in OFDM based cognitive radio networks A Survey
VIDHYA.B, RAMYAH.S.B, REVATHI.G
Abstract: This paper investigates the subcarrier and power allocation problem for an OFDM-based cognitive radio (CR) system. For CR systems it is important to keep the interference below the certain threshold to the primary user and the total power allocated to the CR user under a constraint . Since the joint subcarrier and power allocation problem is a non-convex integer problem and a closed form solution is difficult to find, a optimal and suboptimal algorithm that separates subcarrier and power allocation is investigated. The suboptimal subcarrier algorithm is proposed that allocates subcarriers to CR users that not only increase the transmission rate, but also reduces the interference introduced to the primary user (PU) band. Comparison results show that for CR systems the proposed algorithm is able to load power into the subcarriers while keeping the interference below a specified threshold.
Keywords: Cognitive radio, OFDM, Subcarrier allocation, Power allocation
Keywords: Cognitive radio, OFDM, Subcarrier allocation, Power allocation
Abstract
A Novel way of image encrption with piplining pixel scrambling and fractional fourier transform
SUNITA KUMARI, PRATAP SINGH PATWAL
Abstract: A novel way of image encryption based on fractional Fourier transforms (FRFT) and pixel scrambling technique is described and demonstrated in this paper. The idea of pixel scrambling is presented and an implementation to realize the pixel scrambling and decoding is also proposed. Numerical simulation results are given to verify the algorithm, and relative error (RE) between the decoded images and the original image versus the deviation of fractional orders is discussed. Comparing with single FRT encryption, the security using this method for optical image encryption is greatly improved due to the introduction of the pixel scrambling technique.
Keywords: FT, FRFT, Scramble, Encryption
Keywords: FT, FRFT, Scramble, Encryption
Abstract
Intrusion detection system using decision tree-based attribute weighted AODE
VASUDHA K. DESHPANDE
Abstract: The number and severity of the network attacks have increased in past few years. So for securing the network from different network attacks, intrusion detection system (IDS) plays a key role. Detection of the intrusive activities by using resource intensive intelligent algorithms has been possible because of advancements in computing performance in terms of processing power and storage. In this paper, an efficient data mining algorithm called Naïve Bayes for anomaly based network intrusion detection has been implemented. However, Naïve Bayes assumes attributes are independent of each other, the same may affect the accuracy of the system. To solve this attribute independence issue and to increase accuracy another data mining algorithm named Averaged One Dependence Estimator i. e. AODE is implemented. And to improve the performance of AODE further another algorithm has been proposed named Decision Tree-based Attribute Weighted AODE (DTWAODE). In DTWAODE Decision Tree is used & weight is assigned to each attribute. The weight is set according to its depth in the decision tree building on the training samples. The training sample used is NSL KDD-99 data set. The performance of Naïve Bayes, AODE & DTWAODE is studied and analyzed on the NSL KDD-99 intrusion benchmark data set and the accuracy is calculated.
Keywords: IDS, NSL, KDD, AODE, DTWAODE.
Keywords: IDS, NSL, KDD, AODE, DTWAODE.
Abstract
A Novel routing protocol based on multipath routing for mobile adhoc networks
V.SRAVANI, K.C.K.NAIK, DR.CH.BALASWAMY
Abstract: Ad-hoc networks consist of a set of mobile nodes with a restricted power supply resources that can communicate with each other without any established infrastructure or centralized administration.In modern days communication plays a very important role. By considering the wireless communication networks Adhoc networks plays dominant role. The main problem of Adhoc network is route failure. To improve the life time of network different routing protocols are consider. In present routing protocols of ad hoc networks, routing is an act of moving information from a source to destination in an internetwork. Route is selected in the route discovery phase until all the packets are sent out. Due to the continuous flow of packets in a selected route leads to the route failure. In order to reduce this problem a novel routing protocol based on multipath considering the percentage of the optimum value is proposed. In this paper, the analysis of the performance of different routing protocols like DSR, MBCR and MMBCR to get maximum optimum value using Network Simulator Software is carried out.
Keywords: Ad hoc network, Route discovery phase, optimum value.
Keywords: Ad hoc network, Route discovery phase, optimum value.
Abstract
A Survey on various routing protocols in mobile ad hoc networks
SOMASUNDARAM R, SUMITHRA K, BHARATHI S
Abstract: A Mobile Ad-hoc Network forms the self-configuring wireless network with collection of nodes and these mobile nodes dynamically communicate to other nodes without any centralized infrastructure. Mobile nodes resemble as router and forwards packets to other nodes in the network. Various protocols are involved in Mobile Ad hoc Network for communicating and transferring of packets from peer to peer networks. Due to mobility of mobile nodes in the network, topology changes continuously, thus each protocol uses different methods for transferring data in network to the end points. This paper provides various types of routing protocols used in MANET and its uses.
Keywords: MANET, Routing protocols, Proactive, Reactive and Hybrid.
Keywords: MANET, Routing protocols, Proactive, Reactive and Hybrid.
Abstract
Ant colony trust based secure detection in wireless sensor networks
M.S VIJI, MR.R.SHANKAR
Abstract: Mobile wireless sensor networks (MWSNs) can simply be defined as a wireless sensor network (WSN) in which the sensor nodes are mobile. Most of the existing wireless sensor consumes more memory cost. The existing systems at most used on cryptography to improve packet security but this addresses only a part of the security problem without consideration for high energy key cost. The proposed algorithm to improve the routing security and monitoring activities of each node neighbors using status and trust worthy improves the security of WSNs and maximizes the lifetime for routing. The proposed algorithm using ant colony based best path choosing with secure packet routing. The bio inspired algorithm using ant colony system (ACS), where ants build paths satisfying positive conditions in a network graph. The simulation results show that the proposed model remains resilient to low or high percentages of pernicious service when the percentage of client node are greater than or equal 60%. Finally the simulation result performs well compare with existing one.
Keywords: Wireless sensor network, Ant colony optimization, Pheromone updating.
Keywords: Wireless sensor network, Ant colony optimization, Pheromone updating.
Abstract
An investigation of approaches for image forgery detection
MANDEEPKAUR, DR.SAVITA GUPTA
Abstract: Trustworthiness of digital images has a significant role in many areas, but the ease with which they can be manipulated and distributed has brought forth the security aspects. The easy accessibility of sophisticated photo editing tools has made the process of verifying the authenticity and integrity of digital images extremely difficult. There is an urgent need to develop novel image forgery detection techniques and also improve the high false positive rates of the existing methods. The current paper presents an overview of various approaches available in literaturefor tamper detection, along with their strengths and weaknesses. As lot of research has been carried out in the field of active andpassive tamper detection, the focus of this paper is to highlight the role of fusion in the field of image tamper detection. As the research in this direction has been very limited, all methods that detect tampering on the basis of multiple cues (foot prints or tampering traces) are grouped together and are termed as fusion based approaches. Image tamper detection techniques can be made more reliable and robust by using fusion of multiple tamper detection tools. A critical review of available fusion is presented to expedite the development of novel image forensic techniques.
Keywords: passive-blind methods, image forensics, tamper detection, image forgery, intrusive techniques
Keywords: passive-blind methods, image forensics, tamper detection, image forgery, intrusive techniques
Abstract
Feature extraction of ECG signals for early detection of heart arrhythmia
K.AKILANDESWARI, R.SATHY
Abstract: In today’s world, irrespective of age, cardiac arrhythmia (heart abnormalities) is common among people, which must be detected and treated at the very earliest stage. Electrocardiograph (ECG) plays a vital role in detecting various cardiac arrhythmias. ECG waveform provides entire information about the electrical activity of the heart. In this paper, we are mainly focusing on the primary attributes P, Q, R, S, T, their segments and intervals of ECG Signals. Walsh-Hadamard transformation (WHT) and Fast Fourier Transformation (FFT) are performed to extract the required features from ECG signal.
Keywords: ECG signals, Feature Extraction, FFT, WHT, and Classification.
Keywords: ECG signals, Feature Extraction, FFT, WHT, and Classification.
Abstract
Swarm-based intelligent technique to prevent selective jamming attacks for dynamic topology
S.SURYA, D.SWATHIGAVAISHNAVE, T.KANIMOZHI
Abstract: Wireless medium is open prone to interference attacks. Jamming is a mode for denial of service attacks on wireless networks. Jamming is an external threat model. Adversaries with internal knowledge of protocol specifications and network secrets initiate low-effort jamming attacks tough to detect and counter. Existing work handle the issue of selective jamming attack in wireless network. Swarm intelligence algorithm is proficient enough to adapt change in network topology and traffic. Using the swarm intelligence technique, the forward ants either unicast or broadcast at each node depending on the availability of the channel information for end of the channel. If the channel information is available, the ants randomly choose the next hop. As the backward ants reaches the source, the data collected is verified which channel there is prevalence of attacker long time, and those are omitted. By simulation results, it is clear that this swarm based defense technique for jamming attack is more effective than the existing
Keywords: Jamming attacks, Swarm Based Defense Technique (SBDT), Swarm Intelligence (SI ).
Keywords: Jamming attacks, Swarm Based Defense Technique (SBDT), Swarm Intelligence (SI ).
Abstract
Automated attendance system using markov random field algorithm
ABHILASH MARADWAR, NIKITA SURYAWANSHI, TUSHAR PANPALIYA, SURAJ SONGIRE
Abstract: Computer dependent communication is based on a very important factor, which is Authentication. Human face recognition is an important branch of biometric verification and has a wide range of application. In this paper we describe a method for Automated Attendance System which is based on face recognition by Markov Random Field algorithm. The system describes a method for marking the student’s attendance using proposed algorithm and also provides additional features like maintaining the student database and required information about them. There are many advantages of this system over traditional method for attendance. It eliminates the overhead of manually marking the attendance and reduces the time and efforts. Markov Random Field algorithm is Pose-Invariant that does not require manually selection of facial landmarks or head pose estimation. In order to improve the performance of our pose normalization method in face recognition, we also present an algorithm for classifying whether a given face image is at a frontal or non-frontal pose. Experimental results on different datasets are presented to demonstrate the effectiveness of the proposed approach
Keywords: Markov Random Field, Pose-Invariant, frontal or non-frontal pose
Keywords: Markov Random Field, Pose-Invariant, frontal or non-frontal pose
Abstract
A single natural image denoising based on independent component analysis
MR.VIPULPATIL, DR. A.J. PATIL
Abstract: Denoising of natural image is challenging problem in image processing. Image denoising problem is very simple. Independent component analysis (ICA) is higher order statistical tool for analysis of multidimensional data. Image denoising using independent component analysis assume an Gaussian noise. The noise is a Gaussian and considered image data is non-Gaussian random variable. In practical situations type of noise, type of image, amount of noise are all variable parameters. Such a parameter cannot effectively remove the noise. In this paper we use a independent component analysis to remove a noise from a single image. Natural images provide the basic knowledge for understanding.
Keywords: Adaptive PCA, Denoise, ICA, PCA.
Keywords: Adaptive PCA, Denoise, ICA, PCA.
Abstract
Low power wallace and dadda multiplier based on CLRCL full adder
R.NAVEEN, K.THANUSHKODI, C.SARANYA
Abstract: Multiplication is one of the most critical arithmetic operation, which is extensively used in many VLSI systems such as application specific based digital signal processor architectures and microprocessor. Multipliers are the major source of power dissipation in the VLSI systems. By reducing the power consumption of the multipliers the power consumption of the VLSI system can be reduced. This paper presents the CLRCL full adder based 4*4 Wallace and Dadda multipliers. The CLRCL full adder has only ten transistors which is less in number when compared with conventional full adders which is used to design these multipliers. Designing Wallace and Dadda multiplier by using CLRCL full adder will reduce the transistor count and power consumption. The proposed design is simulated using 0.12μm.
Keywords: Full adder, multiplier, Power consumption, Wallace multiplier, Dadda multiplier
Keywords: Full adder, multiplier, Power consumption, Wallace multiplier, Dadda multiplier
Abstract
Refinement of search results using cross lingual reference technique
MONIKA SHARMA, SUDHA MORWAL
Abstract: In this paper we present a fully implemented system which supports cross-lingual search of World Wide Web. Cross-language information retrieval (CLIR) is a subfield of information retrieval (IR) that deals with the retrieval of the information in a language different from the language of the user's query. Google is a powerful tool to search information on the World Wide Web. Google is a keyword based search engine. Google is a widely used search engine that uses the keyword matching to find the documents that are important & relevant to user’s query. It will retrieve the documents as a search result that contains query terms. Search words have multiple meanings or appear in multiple contexts or in multiple languages. Semantically similar pages that are desirable by the user are often not retrieved .CLIR is helpful for refining the search result of Google. It allows the search engine to not only retrieve the documents containing the query terms but also the documents containing the semantic equivalent of query terms in the other languages. The system, which is named as “Refinement of Google Search Results by Cross Lingual Reference technique” will improve the quality of the search results of Google by providing the multilingual documents in response to a user query written in single language. The goal of this system is to improve the search result of Google by using the CLIR approach for search. This System will avoid the overhead involved in creating multiple requests in case of different languages document retrieval .This System can be used for NLP Linguistics, Govt Organizations such as Intelligence dept, Immigration dept.,Multilingual population regions etc.
Keywords: Information Retrieval, World Wide Web, CLIR
Keywords: Information Retrieval, World Wide Web, CLIR
Abstract
A survey on spam detection techniques
ANJALI SHARMA, MANISHA, DR.MANISHA, DR.REKHA JAIN
Abstract: Today e-mails have become one of the most popular and economical forms of communication for Internet users. Thus due to its popularity, the e-mail is going to be misused. One such misuse is the posting of unwelcome, unwanted e-mails known as spam or junk e-mails [1]. E-mail spam has various consequences. It reduces productivity, takes extra space in mail boxes, extra time, extend software damaging viruses, and materials that contains potentially harmful information for Internet users, destroy stability of mail servers, and as a result users spend lots of time for sorting incoming mail and deleting unwanted correspondence. So there is a need of spam detection so that its consequences can be reduced [2]. In this paper, we present various spam detection techniques.
Keywords: Spam, Spam detection techniques, Email classification
Keywords: Spam, Spam detection techniques, Email classification
Abstract
Reliability estimation of object oriented design a systematic review
ANIL KUMAR, NAMRATA DHANDA
Abstract: Over the past decades, software quality attributes have been extensively studied. In compare, fewer attentions have been paid to the field of software reliability. The size and complexity of computer systems have grown during the past decades in a very impressive manner. Complexity is a major factor of software reliability which degrades the performance of reliability. High complexity makes the system unreliable. There are a number of approaches to estimate reliability, several of which have been discussed in this paper. Software reliability can be increased by controlling Object-Oriented (OO) constructs such as coupling, cohesion, inheritance and polymorphism. This review paper presents the results of a systematic literature review conducted to gather facts on software reliability estimation of object oriented design. In this review paper, our contribution is to discover the available recognized comprehensive and an absolute model or frameworks for measuring the reliability of object oriented design at an early phase of development life cycle.
Keywords: Software reliability, reliability measurement, Software metrics, Object Oriented Design, Software Quality.
Keywords: Software reliability, reliability measurement, Software metrics, Object Oriented Design, Software Quality.
Abstract
Secure data communication using image encryption and compression
Y.M.KAMBLE, K.B.MANWADE
Abstract: For secure communication, original data may convert into unintelligent format. Encryption technique is used for converting plain data into scrambled message. Since, as a channel provider, for secure communication, may tend to compress the encrypted data due to limited channel resource. As a traditional data processing for privacy usually takes place before encryption or after decryption. This paper focuses on new concept that first encrypt the given original color image then compress the encrypted image using lossy compression technique without any error and without degrading the quality of natural image. The original color image can be encrypted using standard image encryption technique and then perform lossy compression operation on encrypted image. At receiver end user can recover the original content without any error by performing decryption operation to recover original image.
Keywords: cryptography, image encryption, compression, decryption, image recovery
Keywords: cryptography, image encryption, compression, decryption, image recovery
Abstract
Survey the stochastic computing and probabilistic transfer matrix (PTM) in logic circuits
BAHRAM DEHGHAN, NASER PARHIZGAR
Abstract: Stochastic computing is a new alternative approach to conventional real arithmetic. Stochastic computation has been considered for different applications such as implementation of real-time motor controller and Error control coding and artificial neural networks. We have shown how to construct classic gates using probabilistic equations. In this paper, we focus on several logic circuits based on Probabilistic Transfer Matrix (PTM). In addition, this paper provides a survey of stochastic logic circuits with generating arbitrary probabilities. Also, we demonstrate PTMs is a methodology for representing probabilistic behaviour in logic circuits. In addition, our purpose has been to study the applicability of PTM in logic circuits. Results demonstrate that different kinds of logic circuits architecture can be verified with PTM methodology.
Keywords: StochasticComputing, Probabilistic Transfer Matrix, Logic Circuits
Keywords: StochasticComputing, Probabilistic Transfer Matrix, Logic Circuits
Abstract
Comparison of cosine similarity and k-NN for automated essays scoring
DR. AHMED ABD EL-GHANY EWEES, DR. MOHAMED MOHAMED EISA, PROF. DR. MOHAMED MOHAMED REFAAT ELBASIONY
Abstract: In this paper, a comparison between Cosine Similarity and k-Nearest Neighbors algorithm in Latent Semantic Analysis method to score Arabic essays automatically is presented. It also improves Latent Semantic Analysis by processing the entered text, unifying the form of letters, deleting the formatting, replacing synonyms, stemming and deleting "Stop Words". The results showed that the use of Cosine Similarity with Latent Semantic Analysis led to high results than the use of k-Nearest Neighbors with Latent Semantic Analysis.
Keywords: Automated Arabic essay scoring, Latent Semantic Analysis, Machine Learning, k-NN, Cosine Similarity, Natural Language Processing.
Keywords: Automated Arabic essay scoring, Latent Semantic Analysis, Machine Learning, k-NN, Cosine Similarity, Natural Language Processing.
Abstract
Arabic information retrieval system using the neural network model
ISSAM AL-HADID, SUHA AFANEH, HASSAN AL-TARAWNEH, HIBA AL-MALAHMEH
Abstract: Information Retrieval (IR) for Arabic language has gained significant attention and emerged as one of the research topics that has been studied by Arabic and foreign researchers. The goal of this research is to apply the IR using Neural Network (NN) Model on natural Arabic language text documents to solve the problem of retrieving the Arabic information from documents' database. Furthermore, all stored documents must be indexed with keywords classification that describe the exact content of each document, which makes it impossible to retrieve all related documents more computational time to classify and update the stored documents. IR using NN applies to solve the problem of documents indexing, classification and retrieving the related documents using Terms of weight and Normalization. The computational results have been compared with the Vector Space Model (VSM) and showed an improvement of NN training time compared with VSM load document time.
Keywords: Arabic, Information Retrieval, Neural Network, Vector Space.
Keywords: Arabic, Information Retrieval, Neural Network, Vector Space.