IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
Elda CINA, Esmerald ALIAJ, Habib HAMAM Information Technology Faculty,“Aleksander Moisiu”, University of Durres, Alabania Information Technology Faculty,“Aleksander Moisiu”, University of Durres, Alabania Faculty of Engineering, University of Moncton, Canada School of Engineering, Canadian Institute of Technology, Albania
VARSHA GUPTA, DIPESH SHARMA, RAM NIVAS GIRI Research Scholar, Computer Science and Engineering, RITEE, Raipur, India Associate professor, Computer Science and Engineering, RITEE, Raipur, India Associate professor, Computer Science and Engineering, RITEE, Raipur, India
B.ANUSHA SAMRAT, K.SAMBASIVARAO, Dr. K.RAGHUNATH M.Tech Student, Dept of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Asst.Professor, Dept of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Scientist / Engineer-SF, National Atmospheric Research Laboratory (NARL), Dept of Space, Gadanki, Tirupati, India
PRIYANKA MOD, PROFESSOR MAYANK BHATT Computer Science, Rishiraj Institute of Technology, Indore, India Professor, Computer Science Rishiraj Institute of Technology, Indore, India
RINCI SHRIVASTAVA, RAVI MOHAN M.Tech Scholar, EC, SRIT, Jabalpur, Madhiya Pradesh, India Assistant Professor, EC, SRIT, Jabalpur, Madhiya Pradesh, India
LAYA SURENDRAN E K, RONY ANTONY P M.Tech Student, Department of Electronics and Communication, Rajagiri School of Engineering & Technology, Cochin, India Assistant Professor, Department of Electronics and Communication Rajagiri School of Engineering & Technology, Cochin, India
JYOTI CHAUHAN, ANCHAL JAIN Department of CSE, Inderprastha Engineering College, Ghaziabad, UP, India Department of CSE, Inderprastha Engineering College, Ghaziabad, UP, India
M.G.ANNAPOORANI, M.S.KOKILA Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India Assistant Professor, Kongu Arts and Science college, Erode, Tamil Nadu, India
SIMI SUSAN SAMUEL, ANIT V.MATHEW, SUBHA SREEKUMAR P.G student, Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, Kerala, India P.G student, Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, Kerala, India Assistant Professor, Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, Kerala India
PARLAPELLY ANUSHA, V. SUDARSHINI KATAKSHAM, C.V.KEERTHI LATHA Department of Electronics and Communication Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India
APARNA TUMULA, NAGALAXMI T Department of Electronics and Communication Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India
JISHA MARIYAM JOHN, SIMI SUSAN SAMUEL, NEETHU MARIA JOHN PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India Associate Professor, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India
ANIT V MATHEW, JISHA MARIYAM JOHN, TINU THOMAS PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India Assistant Professor, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India
PUSHKAR SHUKLA, SHEHJAR SAFAYA, SHASHI KANT Bachelor of Technology, Department of Electronics and Telecommunications, College of Engineering Roorkee, Roorkee, India Bachelor of Technology, Department of Electronics and Telecommunications, College of Engineering Roorkee, Roorkee, India Bachelor of Technology, Department of Electronics and Telecommunications, College of Engineering Roorkee, Roorkee, India
SHILPA D, NAGASHREE C, DIVYA C, SPURTHI G S Assistant Professor, Department of Computer Science and Engineering, SVIT, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, SVIT, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, SVIT, Bangalore, India Assistant Professor, Department of Information Science and Engineering, SVIT, Bangalore, India
SRINATH N K, USHA B A, NARAYAN K, SANGEETHA K N Assistant Professor, Department of CSE, RVCE, Bangalore, India Mtech Student, Department of CSE, RVCE, Bangalore, India Assistant Professor, Department of ECE, JSSATE, Bangalore, India
D.KIRAN KUMAR, T.P.SARACHANDRICA, B.RAJASEKHAR, P.JAYASANKAR Assistant Professor, CSE, Vignana Bharathi Institute of Technology College, Hyderabad, India Assistant Professor, Sri Venkateswara College of Engineering, Tirupathi, India Lecturer, Software Engineering, College of Computing and Informatics (CCI), Haramaya University, Ethiopia Associate Test Architect in Alliance Global Services in Hyderabad, India
A.LEELAVATHI, P.VENKATA LAKSHMI, K.MADHAVI Senior Asst. Professor, Department of ECE, DIET, Anakapalli, A.P., India Department of ECE, DIET, Anakapalli, A.P., India Asst. Professor, Department of ECE, DIET, Anakapalli, A.P., India
R.KANDASAMY, AJAL.A.J Assistant Professor, Department of Electronics & Communication Engineering, Shree Venkateshwara Hi-Tech Engineering College, Erode, India Associate Professor, Department of Electronics & Communication Engineering, Universal Engineering College, Kerala, India
MAHESH G, YESHWANTH S, DR. GOWRISHANKAR Associate Professor, Department of Information Science & Engg., Acharya Institute of Technology, Bangalore, India PG Student, Department of Information Science & Engineering, Acharya Institute of Technology, Bangalore, India Professor, Department of Computer Science and Engineering, B M S College of Engineering, Bangalore, India
DR. VIJAYALAKSHMI M.N, M. SENTHIL VADIVU Department of M.C.A, R.V Engineering College, Bangalore, India Department of Computer Science, The Oxford College of Science, Bangalore, India
USHA B.A, DR.N.K SRINATH, SONIA MARIA D’SOUZA, SANGEETHA K N Assistant Professor, Dept of CSE, R.V.C.E, E&C, JSSATE, Bangalore, India Professor and Dean PG Studies, Dept of CSE, R.V.C.E, Bangalore, India M.Tech QIP Student, Dept of CSE, R.V.C.E, Bangalore, India Assistant Professor, Dept of CSE, R.V.C.E, Bangalore, India
R.MANIMALA, M.JEYASUDHA, M.NELGADEVI Assistant Professor, Department of IT, Sri Paramakalyani College, Alwarkurichi, Tamilnadu, India Assistant Professor, Department of IT, Sri Paramakalyani College, Alwarkurichi, Tamilnadu, India Assistant Professor, Department of CS, Rani Anna Government College for women, Tirunelveli, Tamilnadu, India
ABIRA DASGUPTA, SANKU SINHA Assistant Professor, Computer Science and Engineering Department, R.V.S. College of Engineering and Technology, Jamshedpur, India Assistant Professor, Computer Science and Engineering Department, R.V.S. College of Engineering and Technology, Jamshedpur, India
JYOTI YADAV, BIJENDER MEHANDIA Student, ECE Department, Gurgaon Institute of Technology & Management, Gurgaon, India Professor, ECE Department, Gurgaon Institute of Technology & Management, Gurgaon, India
SAHIDA SULTANA, MOHD SADIQ, WASEEM AHMAD M.Tech. Scholar, Department of Computer Science and Engineering, Faculty of Engineering and Technology, AL-Falah University, Dhuj, Faridabad, Haryana, India Computer Engineering Section, University Polytechnic, Faculty of Engineering and Technology, Jamia Millia Islamia (A Central University), New Delhi, India Department of Computer Science and Engineering, Faculty of Engineering and Technology, AL-Falah University, Dhuj, Faridabad, Haryana, India
K.SAI KEERTHI, CHESTI ALTAFF HUSSAIN, M.DURGA RAO M.Tech Student, Department of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Assistant Professor, Department of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Scientist/Engineer-SE, National Atmospheric Research Laboratory (NARL), Dept of Space, Gadanki, Tirupathi, India
P.RAMYA, S.GOPALAKRISHNAN, R.PRADEEP Assistant Professor, Bannari Amman Institute of Technology, Sathyamangalam, India UG Scholars, Bannari Amman Institute of Technology, Sathyamangalam, India UG Scholars, Bannari Amman Institute of Technology, Sathyamangalam, India
P. THANGARAJU, B.DEEPA, T.KARTHIKEYAN Assistant Professor, Department of Computer Applications, Bishop Heber College (Autonomous), Tiruchirappalli, India M.Phil, Scholar, Department of Computer Applications, Bishop Heber College (Autonomous), Tiruchirappalli, India Associate Professor, PSG College of Arts & Science, Coimbatore, India
SAKTHI NATHIARASAN, KALAIYARASI, MANIKANDAN M.E-Student, Department of CSE, Adhiyamaan College of Engineering, Hosur, India M.E-Student, Department of CSE, Adhiyamaan College of Engineering, Hosur, India Assistant Professor, Department of CSE, Adhiyamaan College of Engineering, Hosur, India
B.NIHARIKA, RANI RAJESH Student, Electronics and Communication Department, Stanley College of Engineering, Hyderabad, India Associate Professor, Electronics and Communication Department, Stanley College of Engineering, Hyderabad, India
M. BHARAT, DR. K. SANTHI SREE, T .MAHESH KUMAR M.Tech, Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India Professor of Computer Science Department, Jawaharlal Nehru Technological University, Hyderabad, India M.Tech, Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India
SHARVANI G S, TUSHARA C K Associate Professor, Department of CSE, RVCE, Bangalore, India M.Tech Student, Department of CSE, RVCE, Bangalore, India
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Abstract
A study of cloud computing in selected schools
DR. A.V.NIKAM, MRS. A.A.PATIL Associate Professor, BVDU, YMIM, Karad Associate Professor, BVDU, YMIM, Karad
Abstract: This paper focuses on challenging problems in school education by considering cloud computing. Nature of computer network in school education is changing rapidly at every moment. Computers used to be the exception in schools just over a decade ago. Now, they are widespread, a regular feature in school and at home. Wireless Sensor Networks (WSNs) provide a low cost option for monitoring different environments such as schools, farms, forests and water and electricity networks. In school education, computer equipments are generally situated in laboratory style accommodation. Its use is often priorities to certificated courses in schools followed by a general awareness short course structure for all other students in the school. In some cases the computer provision extends beyond the control of a computing specialist, and small numbers of machines are made available in the Design, English, Social Science etc. areas However, students exposed to a networked environment in school will be better prepared for future jobs in industry. Networks can help teachers to complete better online lesson plans, they can complete the syllabus in time from a variety of locations like multiple classrooms, staff lounges, and their homes. In short, the promise of school networks seems almost unlimited benefits of Computer Network :1)Improved communication and collaboration 2)Save time, 3)More convenient access to software tools 4)Less expensive5)More benefited to student and teacher 5)Faster access to more information. This paper also focused on existing position of computer network in different schools in ruler area. There are so many advantages of computer network facility but it seems less use of one using computer network facility. Researchers are taken schools in rural area of Karad Taluka, Dist-Satara for research work.
Numerical Data Compression With Data Representation Through Combinations
Elda CINA, Esmerald ALIAJ, Habib HAMAM Information Technology Faculty,“Aleksander Moisiu”, University of Durres, Alabania Information Technology Faculty,“Aleksander Moisiu”, University of Durres, Alabania Faculty of Engineering, University of Moncton, Canada School of Engineering, Canadian Institute of Technology, Albania
Abstract: Digital technology is developing very rapidly, and the demand for devices to preserve data of large scale is increasing at an equal intensity. As such, the storage and transmission of data in efficient ways have become indispensable. The early solution seems to be the compression of data. With this article we aim to introduce a new technique of numerical data compression based on the Data Representation through Combination theory. Our approach is applied to lossless and lossy image compression. It presents better results compared to pre-existing methods, especially regarding lossless data compression. According to this technique, which uses the index representation of data instead of the original image, we gain not only compression but also other security benefits such as cryptography, steganography and watermarking.
Keywords: Data compression, compression rate, index, security
Designing and Implementation of an Efficient Object Tracking System Using Modified Mean Shift Tracking
VARSHA GUPTA, DIPESH SHARMA, RAM NIVAS GIRI Research Scholar, Computer Science and Engineering, RITEE, Raipur, India Associate professor, Computer Science and Engineering, RITEE, Raipur, India Associate professor, Computer Science and Engineering, RITEE, Raipur, India
Abstract: Because of image-databases and “live” video information is growing more and more widespread, their intelligent or automatic examining is becoming exceptionally important. Object tracking, in general, is a challenging problem. In this project work an efficient object tracking system is presented based on Modified mean shift tracking (MMST) algorithm. This project work basically deals with how to address the problem to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the mean shift tracking algorithm, the location of the target can be sound estimated, though the scale and orientation changes cannot be adaptively estimated. Taking into consideration that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target. The proposed method adaptively estimates the height, width, and orientation changes of the target. Experiments are performed to testify the proposed method and validate its robustness to the scale and orientation changes of the target.
Keywords: Object Tracking, Modified mean shift tracking (MMST) algorithm, scale and orientation changes, Mean shift tracking framework, target model, candidate model.
Prognostic System for Parkinson Disease (An overview)
A.POONGODAI, S.BHUVANESWARI (Ph.D), Pondicherry University, Karaikal Campus, Karaikal, India Reader, Pondicherry University, Karaikal Campus, Karaikal, India
Abstract: Today, with existing complexities and ever increasing Parkinson Disease (PD), it has become difficult to track the progression of the disease. Through a study we try to provide a prognostic system to track the progression of Parkinson disease. With an aim to study the progressive nature of PD, in this paper we have proposed an Expert system which aids the specialist in the prognosis of PD. In this, three key issues are identified – i) that identifies and distinguish PD from other Parkinson syndrome, ii) that evaluates the risk of getting PD and iii) that evaluates the progression of PD. In this paper, we have studied how the various features (attributes) are associated with the progressiveness of PD.
Performance Characteristics of Detector Devices Used In Lidar System
B.ANUSHA SAMRAT, K.SAMBASIVARAO, Dr. K.RAGHUNATH M.Tech Student, Dept of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Asst.Professor, Dept of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Scientist / Engineer-SF, National Atmospheric Research Laboratory (NARL), Dept of Space, Gadanki, Tirupati, India
Abstract: Lidar is an acronym for Light detection and Ranging. It is same as the principle of radar. Lidar is a powerful and versatile remote sensing technique in which a beam of light is used to make range resolved measurements and concentration of aerosol particles. Lidar applications need to deal with the detection of weak pulse signals, wide pass bands of receiving subsystem, and potentially intense sky background. The present work involves the processing of lidar signals under sky background for the prediction of APD/PMT (Avalanche Photodiode/Photo Multiplier Tube) detector performance and noise sources present in the atmosphere and in the electronics of the system reduces the performance of lidar. This process will mainly concentrate on the data collected from the signals under intense background conditions from a lidar situated at National Atmospheric Research Laboratory, Gadanki. This project deals with the performance of APD/PMT detectors under sky background. By normalizing all photo detector noises to quantum noise, to obtain quantitate expressions for degradation of signal to noise ratio, increasing threshold sensitivity, and decreasing lidar operation range. The lidar range taken at Ultra-Violet, Visible, Near Infrared region. Based on these observations the system performance can be predicted.
A Survey on Dynamic Resource Allocation technique in cloud Environment
PRIYANKA MOD, PROFESSOR MAYANK BHATT Computer Science, Rishiraj Institute of Technology, Indore, India Professor, Computer Science Rishiraj Institute of Technology, Indore, India
Abstract: Cloud computing becomes relatively popular among cloud users by contribution a variety of resources. This is an on insist service because it offers dynamic flexible resource allocation and guaranteed services. Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as “services” to end- users under a usage-based payment model. They are using virtualized services requirements varying with time. To overcome these challenges using CloudSim tool.CloudSim is an extensible simulation toolkit that enables modeling and simulation of Cloud computing systems and application provisioning environments. Several researchers from organisations are using CloudSim in their investigation on Cloud resource provisioning and energy-efficient management of data center resources. The utility of CloudSim is verified by a case study involving dynamic provisioning of application services in hybrid federated clouds environment. In proposed study the proposed method is Ant Colony Optimization Algorithm (ACO). ACO adapt genetic operations to enhance ant movement towards solution state. This paper provides complete description of the resource allocation techniques in cloud, for cloud users a comparative study provide the detail about the different Resource allocation methods. After that, the related research problems and challenges are explored to promote the development of cloud computing.
SMHRW Secure Maintenance of Health Records in Well Organized Way
P.MURALI, T.VENKATARATHNAM M. Tech (CSE), SSITS, Rayachoty, A.P, India Assistant Professor (CSE Department), ITS, Rayachoty, A.P, India
Abstract: This paper presents implementation of personal health records based on cloud computing systems as it is a sharing personal heath record in third party system such as cloud. Security is provided using balanced Encryption. For maintaining the patient’s information we are providing centralized server for Personal Health Record (PHR). Personal Health Records can be accessed by different types of people with high privacy and security. The security authentications are used to protect the personal data from public access. Patient records can be accessed by different people like medical history, insurance people. Access permissions are provided for particular set of attributes with high security. All the files should be stored in cloud which are semi-trusted servers these, are in encrypted form and also re confidential to other users. There are various issues such as risks of privacy exposure, efficient user revocation, flexible access, scalability in key management and efficient user revocation, the most important challenge is achieving in depth cryptographically enforced data access control. For well organizing of health records we follow the technique attribute mean value to fill the missing values(or) fields and to achieve in depth and scalable data access control for personal health records stored in semi trusted servers, we can use ABE techniques to encrypt each patient’s medical record files. Numerous PHR owners access the same data values in many times. The proposed scheme in this paper is Multi Authority Attribute Based Encryption (MA-ABE) and dynamic modification of access policies, file attributes, break glass access under emergency conditions and it supports on demand attribute revocation. Results are provided with efficiently security and sharing manner.
Keywords: Cloud Computing, Personal Health Records, Data Privacy, Attribute Mean, Multi Authority Attribute- Based Encryption
RINCI SHRIVASTAVA, RAVI MOHAN M.Tech Scholar, EC, SRIT, Jabalpur, Madhiya Pradesh, India Assistant Professor, EC, SRIT, Jabalpur, Madhiya Pradesh, India
Abstract: Images contain several types of noises due to belonging factors. Sensor Defects, Lens Distortion, Software Artifacts, blur etc. are the belonging factors which affects the quality of images. If you want to produce the quality of the images to be higher than the belonging factors should not be ignored. There are several methodologies which are proposed till now. There is significant improvement time by time by the researchers. But there are some significant gaps are present where there is the need of improvement. Our paper goal is to discover the gap and find the betterment through the study and discussion.
Comparative Study of Adder Cells Using Different Logic Styles
LAYA SURENDRAN E K, RONY ANTONY P M.Tech Student, Department of Electronics and Communication, Rajagiri School of Engineering & Technology, Cochin, India Assistant Professor, Department of Electronics and Communication Rajagiri School of Engineering & Technology, Cochin, India
Abstract: The main building block of many arithmetic system is the adder cells. The performance of multipliers is greatly influenced by the efficiency of the adders. Adder cells using different logic styles are discussed in this paper. Different logic styles include Cmos logic, Pass transistor logic, Transmission gates and Shannon based adders. The main aim of this work is to compare the performance of adder cells in terms of delay , power consumption, area and energy delay product. The adder cells are designed for 0.18um CMOS technology. Cadence tool is used for the simulation.
Keywords: Full adder, CMOS logic , Pass transistor logic, Transmission gate , Shannon based adder.
Survey On Encryption Algorithm Based On Chaos Theory And DNA Cryptography
JYOTI CHAUHAN, ANCHAL JAIN Department of CSE, Inderprastha Engineering College, Ghaziabad, UP, India Department of CSE, Inderprastha Engineering College, Ghaziabad, UP, India
Abstract: DNA Cryptography is a new born cryptography that overcomes the difficulties of traditional cryptography due to its extraordinary information density inherent in DNA molecules, exceptional energy efficiency and vast parallelism. A lot of work have been done in this area based on different techniques like –DNA synthesis, PCR, Electrophoresis etc. In this paper various trends in DNA Cryptography are surveyed, highlighting the merits and demerits of each.
Energy Efficient Data Collection for Mobile Users in Wireless Sensor Networks Using SCFT Protocol
M.G.ANNAPOORANI, M.S.KOKILA Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India Assistant Professor, Kongu Arts and Science college, Erode, Tamil Nadu, India
Abstract: In wireless sensor network (WSN) the data collection is more challenging one, because each node in the network having limited bandwidth and energy level. With the aim of reducing energy consumption and to achieve high data accessibility with low communication cost in the presence of multiple next hop nodes, the proposed approach is designed with 3 phases (i) initialization phase (ii) packet-splitting phase (iii) forwarding phase. Before the collection of data from sensor node, the sink node broadcast the message to all sensor nodes in the network to form the route path from the sensor to sink. To form the route path the proposed system incorporate the method of Self Centered Friendship (SCF) that means each node will consider itself as root node and appends the nodes that are connected to them by one hop. After the basic formation of SCF Tree the system moves forward with help of CRT for splitting the packets. The Chinese Remainder Theorem (CRT) is characterized by a simple modular division between the integers. Finally the system simply forwards the subpackets towards the sink which broadcast the message for data. Once all sub packets (called CRT components) are received correctly the sink node will recombine them using mask. When, compared to the existing data collection techniques data collection using SCF Tree with CRT based packet forwarding is found to produce the best result in terms of energy consumption, data accessibility and low communication cost.
Keywords: Eenergy efficiency, data collection, mobile user, packet splitting, wireless sensor networks.
Comparative Study Between Sparse Representation Classification and Classical Classifiers on Cervical Cancer Cell Images
SIMI SUSAN SAMUEL, ANIT V.MATHEW, SUBHA SREEKUMAR P.G student, Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, Kerala, India P.G student, Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, Kerala, India Assistant Professor, Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, Kerala India
Abstract: The pap-smear classification is still a challenging task for machine–aided cervix cancer diagnosis because it is tedious even for a trained cytologist to analyse and diagnose each slide obtained from different patients. Various methods have been proposed for medical image classification. In this paper, a multi-feature set sparse representation classification (mfSRC) is proposed in order to classify the pap smear cell images. Here, this representation goes through a training stage employing Genetic Algorithm guided by multi feature set dictionary learning approach. The data consists of 917 images of Pap-smear cells, classified carefully by cyto-technicians and doctors. Each cell is described by 20 numerical features, and the cells fall into 7 classes. In order to understand the relevance of sparse representation in the classification of pap smear images, the performance of other classical classifiers were also evaluated. Results show that classification accuracy of sparse representation generally outperforms other classical classifiers.
A Secured Communication Based on Adaptive Steganography
PARLAPELLY ANUSHA, V. SUDARSHINI KATAKSHAM, C.V.KEERTHI LATHA Department of Electronics and Communication Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India
Abstract: Steganography is an art of sending hidden data or secret messages over a public channel so that a third party cannot detect the presence of the secret messages. The goal of steganography is different from classical encryption, which seeks to conceal the content of secret messages; steganography is about hiding the very existence of the secret messages. Modern steganography is generally understood to deal with electronic media rather than physical objects. There have been numerous proposals for protocols to hide data in channels containing pictures, video, audio and even typeset text. A steganographic method of embedding textual information in an audio image and then to the audio file is presented in this project. In the proposed technique, first an image is selected after that we have to take the secret text and by using Adaptive LSB algorithm have to hide the secret text in that image. This stego image again hidden into the audio file. Based on LSB algorithm has to hide the stego image into the audio file. This audio file is sampled and then an appropriate bit of each alternate sample is altered to embed the textual information as well as an image. As a steganographic approach the perceptual quality of the host audio signal and host image was not to be degraded.
Object Identification Based on Background Subtraction and Morphological Process
APARNA TUMULA, NAGALAXMI T Department of Electronics and Communication Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India
Abstract: Background subtraction in dynamic scenes is an important and challenging task. This paper proposes an efficient motion detection system based on background subtraction using fuzzy colour histogram and morphological processing. Here two methods are used effectively for object detection followed by people counting and compare these performance based on accurate estimation. In dynamic texture scenes, morphological process and filtering are used effectively for unwanted pixel removal from the background. We introduce a background subtraction algorithm for temporally dynamic texture scenes using a clustering-based feature, called fuzzy colour histogram (FCH), which has an ability of greatly attenuating colour variations generated by background motions while still highlighting moving objects detection. Experimental results demonstrate that proposed method is effective for motion detection system based on background subtraction using fuzzy colour histogram and morphological processing, compared to several other competitive methods.
Segmentation of Skin Lesions from Digital Images using Texture Distinctiveness with Neural Network
JISHA MARIYAM JOHN, SIMI SUSAN SAMUEL, NEETHU MARIA JOHN PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India Associate Professor, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India
Abstract: Melanoma is the deadliest form of skin cancer. Incidence rates of melanoma have been increasing, but survival rates are high if detected early. Inorder to reduce the costs for dermatologists to screen every patient, there is a need for an automated melanoma screening system. In this paper, texture distinctiveness lesion segmentation algorithm is used. Dermatologists diagnose malignancy in skin lesions based on their extensive training, experience from previous diagnoses, and their access to vast amounts of medical research. Experience and training-based learning is an important characteristic of neural networks. Therefore a back propagation neural network is used with texture distinctiveness lesion segmentation algorithm. The proposed framework shows higher segmentation accuracy.
Classification of Mutated Cancer Genome Using Machine Learning Approaches
ANIT V MATHEW, JISHA MARIYAM JOHN, TINU THOMAS PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India PG Student, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India Assistant Professor, Computer Science and Engineering, Mangalam College of Engineering, Kottayam, India
Abstract: Cancer may be a genetic abnormality derived from genetic changes that end in a loss of control over necessary cellular functions. Identification of mutated cancer gene plays a crucial role in individualizing the treatment of a cancer patient in keeping with his specific tumorigenic profile. Wavelets analysis techniques are capable of extracting each spectral and local information and perform multiscale analysis on DNA/protein sequences. The amino acid index features represent the physicochemical properties of the protein sequences. The wavelet features combined with AAIndex features offer feature vector for classification of mutated driver gene. Machine learning based approaches are utilized in cancer genome analysis to mine patterns from the prevailing data and built mathematical models to learn patterns and make predictions in unanalyzed data. The proposed system deals with scrutiny the performance of varied combinations of Support Vector Machine and Back Propagation Neural Network to identify the mutated driver gene.
Keywords: driver gene; wavelet analysis; AAIndex features; Support Vector Machine ; Back Propagation Neural Network.
Human safety system for two wheelers- A microcontroller based prototype
PUSHKAR SHUKLA, SHEHJAR SAFAYA, SHASHI KANT Bachelor of Technology, Department of Electronics and Telecommunications, College of Engineering Roorkee, Roorkee, India Bachelor of Technology, Department of Electronics and Telecommunications, College of Engineering Roorkee, Roorkee, India Bachelor of Technology, Department of Electronics and Telecommunications, College of Engineering Roorkee, Roorkee, India
Abstract: Every year in India a large number of deaths occur due road accidents. Drivers on two wheeler contribute significantly to these numbers. In a large number of two wheeler accidents, deaths occur because no preventive actions have been taken beforehand by the driver or those sitting in the two-wheeler. As greater risk is involved in riding a two wheeler therefore, it becomes essential to use protective guard while riding the vehicle. In our paper we propose one such security systems that makes it mandatory for the user to wear a protective guard or helmet before riding a two wheeler. This system reduces the probability of a severe injury or death during an accident. We also take into consideration a prototype that has been developed for motor cycle riders.
Keywords: Human safety system, road accidents, wireless sensor network, Infra –Red sensors, wireless communication.
PRATISHTHA GUPTA, G.N PUROHIT, VARSHA BANSAL Computer Science, Banasthali University, Jaipur, Rajasthan, India Mathematics & Statistics, Banasthali University, Jaipur, Rajasthan, India Computer Science, Banasthali University, Jaipur Rajasthan, India
Abstract: Social and network computing demands effective, sharing and saving of image data, which has always been a great challenge. People are sharing, transmitting and storing millions of images every moment. Although, data compression is mostly done to avoid the occupancy of more memory, and enhance capacity of storage devices, production of digital images has been increased proportion. Consequently, the demand of perfect, image compression algorithm is very high which can be used to reduce the resources usage, such as data storage space or transmission capacity. Bhammar M.B. et al, [1]. This document presents the review of various lossless and lossy compression techniques.
Survey on Security Attacks and Solutions in Cloud Infrastructure
SHILPA D, NAGASHREE C, DIVYA C, SPURTHI G S Assistant Professor, Department of Computer Science and Engineering, SVIT, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, SVIT, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, SVIT, Bangalore, India Assistant Professor, Department of Information Science and Engineering, SVIT, Bangalore, India
Abstract: Cloud Computing is a booming internet driven technology, which renders a pool of resources such as network, storage, and applications on- demand basis. The cloud Services must be highly secured so that it increases the adoption of cloud for enterprise business management. The cloud services are shared by multitenant using internet channel which is a vulnerable to attacks. Cloud computing is exposed to many threats. In this paper we discuss some of the common attacks and their solution.
Keywords: Rapid Provisioning, Security, Denial of Service, Access Controls, virtualization.
A Secure Data Embedding Technique In Image Steganography For Medical Images
SRINATH N K, USHA B A, NARAYAN K, SANGEETHA K N Assistant Professor, Department of CSE, RVCE, Bangalore, India Mtech Student, Department of CSE, RVCE, Bangalore, India Assistant Professor, Department of ECE, JSSATE, Bangalore, India
Abstract: Steganography is an art and science of secure information communication where the secret data or confidential data is hidden in host file. It is used in different useful applications like secure data communication, healthcare and military. Confidential information’s are commonly stored in digital media and transmitted via internet due to the rapid growth of internet. If the information’s in images are altered then this may lead to wrong assumptions. Certain medical applications require information exchange over an insecure network where a small piece of medical information is modified intentionally for certain illegal purpose which may lead to wrong diagnosis. Therefore protection of integrity, reliability and confidentiality of the secret medical data in images are the important issues. To protect the secret medical information cryptography technique can be used where the secret medical data is altered, even if the attackers get to know the data it won’t be of any use without knowing the algorithm. According to the survey not all issues are satisfied by the single method. In this paper a brief introduction is presented later related works followed by proposed algorithm, results and conclusion.
Keywords: Medical Image, Steganography, cryptography, data hiding, soft computing, fuzzy logic.
D.KIRAN KUMAR, T.P.SARACHANDRICA, B.RAJASEKHAR, P.JAYASANKAR Assistant Professor, CSE, Vignana Bharathi Institute of Technology College, Hyderabad, India Assistant Professor, Sri Venkateswara College of Engineering, Tirupathi, India Lecturer, Software Engineering, College of Computing and Informatics (CCI), Haramaya University, Ethiopia Associate Test Architect in Alliance Global Services in Hyderabad, India
Abstract: Virtualization and cloud computing are the technologies that go hand in hand. Cloud computing is an emerging technology that represents a new computing paradigm. It will enable individuals and organizations to access a pool of computing resources in pay as you use fashion. This technology helps small and medium companies or any company on the earth for that matter to eliminate the need for capital investment. Cloud computing offers many service models such as Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Software as a Service (SaaS). It bestows many deployment models such as private could, public cloud, community cloud and infrastructure cloud. With this technology the computing resources have been commoditized in the similar fashion which commoditizes water and electricity. However, cloud computing cannot become affordable solution without the technology virtualization. Therefore virtualization is the technology on top of it cloud computing is built. Virtualization is the process of creation of virtual counterpart of something like hardware, network, storage device, and operating system. This paper presents the insights pertaining to both technologies besides their impact on the society in all walks of life.
An Efficient SNR Estimation Scheme For Secure Communication Over Fading Channel
A.LEELAVATHI, P.VENKATA LAKSHMI, K.MADHAVI Senior Asst. Professor, Department of ECE, DIET, Anakapalli, A.P., India Department of ECE, DIET, Anakapalli, A.P., India Asst. Professor, Department of ECE, DIET, Anakapalli, A.P., India
Abstract: Secure transmission of confidential messages is a critical issue in communication systems and especially in wireless systems due to the broadcast nature of wireless transmissions.In order to address the two critical issues of security and energy-efficiency jointly, we study the secrecy capacity in the low-SNR regime. It is worthwhile to note that operation at low SNRs, in addition to improving the energy efficiency, is beneficial from a security perspective as well.We consider a general multiple-input and multiple-output (MIMO) channel model and identify the optimal transmission strategies in the low-SNR regime under secrecy constraints. It is very important to estimate the signal to noise ratio (SNR) of received signal and to transmit the signal effectively for the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary amplitude and phase shift keying (APSK) or quadrature amplitude modulation (QAM).As an Extension we propose a SNR estimation method which uses zero point auto-correlation of received signal per block and auto/cross- correlation of decision feedback signal. Finally, the impact of fading is investigated, and the benefits of fading in terms of energy efficiency are shown.
Wimax Based Approach to Enhance Localized Human Social Network
R.KANDASAMY, AJAL.A.J Assistant Professor, Department of Electronics & Communication Engineering, Shree Venkateshwara Hi-Tech Engineering College, Erode, India Associate Professor, Department of Electronics & Communication Engineering, Universal Engineering College, Kerala, India
Abstract: The Internet is the most essential networking environment in the world. As more Internet applications become commonplace, more people want to use Internet applications with any device at any time or place. Therefore, as wireless networking becomes a mainstream reality for businesses and consumers, forward-thinking cities are moving to deploy high-bandwidth, citywide networks to support government workers, local businesses and residents. The World Wide Web (simply the “Web”), accessible via the Internet, has been the common information platform that can heavily impact the human life style and social relationships. However, traditional Web has limitations of interactivity and performance. Moreover, the client-server architecture obstructs information interchange. Additionally, most Web applications are only designed for conventional computers, not for mobile handheld devices which are becoming increasingly popular. Consequently, various designs including Web 2.0, Community 2.0, peer-to-peer architecture, Internet-scale operating system and etc are proposed to improve these shortcomings. Nevertheless, these systems are currently in developing or actually do not yet exist due to their complicated designs. Based on the above, we propose a concise connectivity approach capable of increasing the serviceableness of web in wireless citywide environments. In this approach, the distributed HTTP daemon, in conjunction with trusted global storage technologies, can be established. Next, the community-oriented grouping mechanism using global naming scheme can then be presented. Moreover, a practical information classification method for virtual community applications can also be constructed. This proposed community-oriented approach can not only support the use of mobile handheld devices in wireless citywide environments, but also can significantly improve the interactivity of information and enhance the localized human social network.
Keywords: Wireless City, Web, Community, Trusted Storage, Locality
Fuzzy Logic based Call Admission Control for Next Generation Wireless Networks
MAHESH G, YESHWANTH S, DR. GOWRISHANKAR Associate Professor, Department of Information Science & Engg., Acharya Institute of Technology, Bangalore, India PG Student, Department of Information Science & Engineering, Acharya Institute of Technology, Bangalore, India Professor, Department of Computer Science and Engineering, B M S College of Engineering, Bangalore, India
Abstract: There is rapid growth and changes occurring in the field of wireless communication network (WCN) in recent days. Due to which the management and control of this WCN without decreasing the quality of service (QoS) has become a great problem. One of the major reasons for the decrease of QoS in WCN is increase in the call blocking probability. A Fuzzy Logic (FL) based Call Admission Control (CAC) method is proposed to address this problem in the work carried out. In this scheme primarily, the total bandwidth is partitioned into three parts viz. platinum class, gold class and silver class. These divisions are mainly based on user preferences. So to cleverly keep the blocking probability as low as possible, a FL based CAC is being implemented in platinum class for the available bandwidth. Simulation results show that the proposed FL based CAC reduces the call blocking probability to a maximum extent.
An Assessment of Hyperspectral Imaging and Target detection
DR. VIJAYALAKSHMI M.N, M. SENTHIL VADIVU Department of M.C.A, R.V Engineering College, Bangalore, India Department of Computer Science, The Oxford College of Science, Bangalore, India
Abstract: Hyperspectral Imaging is a recent trend in the field of remote sensing. Over the past few years hyperspectral imaging has been emerged as rapidly developing technology to process and analyze the images. This technique has gained interest in wide area of applications such as food processing, mineralogy, environment, vegetation, astronomy, surveillance, eye care, chemical imaging, military and so on.. This article presents the overview of hyperspectral imaging, outlines the energy distribution from source to sensor, discussing about the radiation interaction with the earth, summarizing the differences between multispectral and hyperspectral data and finally briefing the hyperspectral imaging algorithms in target detection.
Image and Audio Embedding Technique in Image Steganography Using Neural Networks
USHA B.A, DR.N.K SRINATH, SONIA MARIA D’SOUZA, SANGEETHA K N Assistant Professor, Dept of CSE, R.V.C.E, E&C, JSSATE, Bangalore, India Professor and Dean PG Studies, Dept of CSE, R.V.C.E, Bangalore, India M.Tech QIP Student, Dept of CSE, R.V.C.E, Bangalore, India Assistant Professor, Dept of CSE, R.V.C.E, Bangalore, India
Abstract: In this paper, we clarify what steganography is and what it can do. The Steganography is the prowess of hiding information in the ways that fend off the revealing of secret messages. This project work discusses about image and audio embedding technique based on Neural Network FFBP-NN. Feed forward back propagation technique enhances the surety of the data. The data is encrypted by using the DCT technique and then hidden using the medical image and audio by tapping the abilities of FFBP-NN with the use of linear embedding technique and considering the characteristics of Human Audio System (HAS), a NN restrainer(controller) is designed to ensure the strength of embedded data adapting to the host audio itself entirely. The simulation experiment results show that the technique is racy (robust) too common digital audio processing methods as well as the quality of the medical image and audio is guaranteed. This paper mainly focused on the problem of audio and the image using Artificial Neural Networks (ANNs) has been addressed. Neural Network is trained to recognize/classify elementary-actions such as epochs, time, gradient, performance and quality of the image. The applications being used in this project mainly concentrate on FFBP-NN. Steganography system using features derived from Discrete Cosine Transforms (DCT) coefficients along with FFBP-NN classifier is evaluated, using an image dataset of thirty images, containing four classes and each class having five images. The action being performed is classified and displayed on the user interface along with a spoken sound version with the help of “Levenberg-Marquardtm” method.
Abstract: Object Tracking is one of the most challenging subjects in the field of computer vision, surveillance, traffic monitoring, video compression etc. The aim of object tracking is to find a moving object in a video frames sequence. Normally a video tracking system combines three stages of data tracking; object extraction, object recognition & tracking. We propose an approach for tracking object in a single frame in which a centre point of object is taken as focus component. The histogram profile based object representations are updated by changing kernels. To enhance localization of the tracked object some region bounding structure information is added to the method of tracking. This method is successfully adjusted with moving camera, Partial occlusions and changing scale and orientation of target have overcome the need of background subtraction making it more efficient. Some main applications are: surveillance application, control application and analysis application.
Efficient Key Distribution and Key Computation Using EBR in Bluetooth SSP
R.MANIMALA, M.JEYASUDHA, M.NELGADEVI Assistant Professor, Department of IT, Sri Paramakalyani College, Alwarkurichi, Tamilnadu, India Assistant Professor, Department of IT, Sri Paramakalyani College, Alwarkurichi, Tamilnadu, India Assistant Professor, Department of CS, Rani Anna Government College for women, Tirunelveli, Tamilnadu, India
Abstract: Bluetooth is a wireless technology which enables communication between Bluetooth-compatible devices such as mobile phones, computers, PDAs etc. Security is the major concern during wireless communication. There are possibilities of two Man In The Middle attack (MITM) on Bluetooth Secure Simple Pairing(SSP) .First Attack is based on the falsification of information sent during the input/output capabilities exchange named as Bluetooth - No Input, No Output - Man-In-The-Middle (BT-Nino-MITM) attack. Second attack is Bluetooth - Secure Simple Pairing - Out-Of-Band - Man-In-The-Middle (BT-SSP-OOB-MITM) attack requires some kind of visual contact to the victim devices in order to mislead the user to select a less secured Just Work (JW) association model instead of using a more secure Out Of Band (OOB) channel [1]. In this paper, we proposed key distribution and key computation scheme, where the cluster head (master node) establish unique key for each node in a cluster and computes a session key in each session for secure communications over an unreliable wireless network. The session key provides group secrecy and source authentication since it reduce the possibilities of Man In he Middle Attack (MITM). Secret sharing and power efficiency is important in order to ensure secure communication. Since, we proposed Energy Based Routing algorithm for low power consumption during secret sharing. In addition, we provided comparative analysis with Dynamic Source Routing and Destination Sequenced Distance-Vector Routing algorithms.
Keywords: Man In the Middle Attack, Simple Secure Pairing, Energy Based Routing, key distribution, Key Computation.
A Multiple Aggregative Path Scheme for Optimal communication in WSN
VINTI, NAVEEN KUMAR MALIK ECE Department, Hindu College of Engineering, Sonipat, India
Abstract: One of the major challenges for any network is the effective routing to perform reliable communication over the network. This challenge becomes more critical for sensor network where each node is having the limited energy. To provide the reliable communication a distance and energy based optimal path is selected by most of the authors. But if the communication is performed regularly over such path, the energy of all intermediate nodes will be degraded and it will disturb the energy balance over the network. To provide balanced energy consumption, a multiple path multiple aggregative approach is suggested. In this approach, a corner based partition scheme is implemented. Number of dead nodes after a fixed number of rounds is very less as compared to existing approaches.
Keywords: Aggregative approach, dead nodes, Effective routing, optimal path
Simple ACO and ACO with Neural Network for implementing multicast routing in a network A Comparison based study
ABIRA DASGUPTA, SANKU SINHA Assistant Professor, Computer Science and Engineering Department, R.V.S. College of Engineering and Technology, Jamshedpur, India Assistant Professor, Computer Science and Engineering Department, R.V.S. College of Engineering and Technology, Jamshedpur, India
Abstract: This paper introduces a comparative study of implementing simple ACO and ACO using neural network concept for multicast routing in a network.ACO optimizes the path by which ants search for their food by laying a chemical substance named pheromone. Ants on the graph move from a node to other node depending on the corresponding probabilities function, and update the pheromone locally and globally on graph when every iteration is finished. The complexity study, iteration wise shows that merging ACS with neural networks provides features of well performance of cost, fast convergence and stable delay to reach optimal solution as compared to simple ACO.
Keywords: Ant Colony System, Ant colony optimization, pheromone, local pheromone update rule, state transition rule, global pheromone updating rule, synaptic weight.
JYOTI YADAV, BIJENDER MEHANDIA Student, ECE Department, Gurgaon Institute of Technology & Management, Gurgaon, India Professor, ECE Department, Gurgaon Institute of Technology & Management, Gurgaon, India
Abstract: WIMAX is Wireless Interoperability for Microwave Access. It is a telecommunication technology that provides wireless data over long distances in several ways, from point-to-point links to full mobile cellular type access. The main consideration of Mobile WiMAX is to achieve seamless handover such that there is no loss of data. In WiMAX both mobile station (MS) and base station (BS) scans the neighboring base stations for selecting the best base station for a potential handover. Two types of handovers in WiMAX are: Hard handover (break before make) and Soft handover (make before break). To avoid data loss during handover we have considered soft handovers this research topic. We have proposed a technique to select a base station for potential soft handover in WiMAX. We have developed a base station selection procedure that will optimize the soft handover such that there is no data loss; handover decision is taken quickly and thus improving overall handover performance. We will compare the quality of service with hard handover and soft handover. We have analyzed the proposed technique with an existing scheme for soft handover in WiMAX with simulation results.
A Tool To Automate The Test Cases Of Software Using Gray Box Testing Approach
SAHIDA SULTANA, MOHD SADIQ, WASEEM AHMAD M.Tech. Scholar, Department of Computer Science and Engineering, Faculty of Engineering and Technology, AL-Falah University, Dhuj, Faridabad, Haryana, India Computer Engineering Section, University Polytechnic, Faculty of Engineering and Technology, Jamia Millia Islamia (A Central University), New Delhi, India Department of Computer Science and Engineering, Faculty of Engineering and Technology, AL-Falah University, Dhuj, Faridabad, Haryana, India
Abstract: The success rate of software system depends upon the following: requirements elicitation technique, modeling, analysis, verification, validation &testing. In literature, we have identified different types of Software Testing Techniques like, black box techniques, white box techniques, and gray box techniques; and choosing gray box testing is not an easy task according to need/criteria of the software projects. In our paper, we have described and compared the three most prevalent and commonly used software testing techniques and selection of gray box approach for detecting errors, which are the combination of: white box testing, black box testing.
Keywords: Requirement Prioritization, Black Box, Grey Box, White Box.
Fingerprint Matching Using Correlation (In Frequency Domain)
KALYANI MALI, SAMAYITA BHATTACHARYA Department of Computer Science & Engineering, University of Kalyani, Kalyani, West Bengal, India
Abstract: To perform fingerprint matching based on the number of corresponding minutia pairings, has been in use for quite sometimes. But this technique is not very efficient for recognizing the low quality fingerprints. To overcome this problem, some researchers suggest the correlation technique which provides better result. Use of correlation-based methods is increasing day by-day in the field of biometrics as it provides better results.
Keywords: Fingerprint, Fingerprint Matching, Frequency Domain, Correlation, Recognition.
Estimation of Power, Doppler Width, Mean Doppler and Radial Velocities for 53 MHz Pilot Active Array Radar by Using Time Series Data
K.SAI KEERTHI, CHESTI ALTAFF HUSSAIN, M.DURGA RAO M.Tech Student, Department of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Assistant Professor, Department of ECE, Bapatla Engineering College, Bapatla, Andhra Pradesh, India Scientist/Engineer-SE, National Atmospheric Research Laboratory (NARL), Dept of Space, Gadanki, Tirupathi, India
Abstract: Radar data processing has been one field of data processing where there is a lot of scope for development of new and efficient tools for removing the noise, detection and estimation of desired parameters. This paper deals with the description of an algorithm for processing the data obtained from pilot active array radar which is developed at National Atmospheric Research Laboratory (NARL).The data obtained from pilot active array radar is processed for the estimation of power, Doppler width, mean Doppler ( spectral moments) and radial velocities using specific windowing technique. This data processing done is partly on-line and partly offline. The on-line processing significantly compresses the data via time averages and usually produces power spectra and off-line calculations involve parameter extraction. Data processing of recorded experimental data is performed by the developed MATLAB code and the results were plotted. The derived velocity components are validated by comparing the velocity components obtained from GPS data at NARL.
Keywords: radar data processing, active array radar, power spectra, radial velocity.
Modified E-Shaped Microstrip Patch Antenna For Wimax Application
P.RAMYA, S.GOPALAKRISHNAN, R.PRADEEP Assistant Professor, Bannari Amman Institute of Technology, Sathyamangalam, India UG Scholars, Bannari Amman Institute of Technology, Sathyamangalam, India UG Scholars, Bannari Amman Institute of Technology, Sathyamangalam, India
Abstract: In this paper E shaped microstrip patch antenna is proposed for wimax(World Wide Interoperability For Microwave Access) application. The patch antenna works at the frequency of 3.5 GHz with the satisfying antenna parameters like directivity, gain and radiated power with FR4(Flame Resistance-4). The figure 8 type radiation pattern is obtained as the result. The simulation is carried out in Agilent Technologies Advanced Design System (ADS)
Comparison of Data mining Techniques for Forecasting Diabetes Mellitus
P. THANGARAJU, B.DEEPA, T.KARTHIKEYAN Assistant Professor, Department of Computer Applications, Bishop Heber College (Autonomous), Tiruchirappalli, India M.Phil, Scholar, Department of Computer Applications, Bishop Heber College (Autonomous), Tiruchirappalli, India Associate Professor, PSG College of Arts & Science, Coimbatore, India
Abstract: Data mining is the practice of examining large pre- existing databases in order to generate new information. There are different kinds of data mining techniques are available. Classification, Clustering, Association Rule and Neural Network are some of the most significant techniques in data mining. In Health care industries, Data mining plays a significant role. Most frequently the data mining is used in health care industries for the process of forecasting diseases. Diabetes is a chronic condition. This means that is lasts for a long time, often for someone’s whole life [1]. This paper studies the comparison of diabetes forecasting approaches using clustering techniques. Here we are using three different kinds of clustering techniques named as Hierarchical clustering, Density based clustering, and Simple K- Means clustering. Weka is used as a tool.
Keywords: Data mining, Diabetes, Forecast, Clustering, Hierarchical clustering, Density based clustering, K-means, Weka.
Literature Review on Infrequent Itemset Mining Algorithms
SAKTHI NATHIARASAN, KALAIYARASI, MANIKANDAN M.E-Student, Department of CSE, Adhiyamaan College of Engineering, Hosur, India M.E-Student, Department of CSE, Adhiyamaan College of Engineering, Hosur, India Assistant Professor, Department of CSE, Adhiyamaan College of Engineering, Hosur, India
Abstract: The aim of Association Rule Mining is to find the correlation between data Items based on frequency of occurrence. Infrequent Itemset mining is a variation of frequent itemset mining where it finds the uninteresting patterns i.e., it finds the data items which occurs very rarely. Considering weight for each distinct items in a transaction independent manner adds effectiveness for finding frequent itemset mining. Several articles related to frequent and weighted infrequent itemset mining were proposed. This paper focus on reviewing various Existing Algorithms related to frequent and infrequent itemset mining which creates a path for future researches in the field of Association Rule Mining.
Keywords: Infrequent Itemset mining, Association Rule Mining, weight, Correlation
An ALU Based Online BIST for Varying Word Widths of RAM
B.NIHARIKA, RANI RAJESH Student, Electronics and Communication Department, Stanley College of Engineering, Hyderabad, India Associate Professor, Electronics and Communication Department, Stanley College of Engineering, Hyderabad, India
Abstract: On-line testing of word oriented memories is fast becoming a basic feature of digital systems, not only for critical applications, but also for highly-available applications. With the use of transparent BIST (built in self test) schemes for testing of RAMs, preservation of memory contents during periodic testing is assured but, it requires more hardware for signature prediction and more time for testing. Symmetric Transparent BIST skips the signature prediction phase, thus reducing the hardware and test time. Previously, one ALU was used for testing one RAM which increases the hardware of BIST circuit. The proposed method uses a symmetric transparent BIST scheme and an ALU capable of testing more than one RAM thus decreasing the hardware required to test RAM modules on a die. Different word widths of RAMs can be tested by using addition and subtraction operation of ALU with the help of series of March elements. Four RAM modules are tested using one ALU module in a roving manner. Due to the decrease in hardware overhead of proposed scheme the test time is also reduced.
Keywords: BIST (built in self test, March algorithms, memory test, Symmetric transparent built in self test (BIST), online testing, memory testing, and hardware overhead.
Authentication Solution for Security Attacks in VANETs
M. BHARAT, DR. K. SANTHI SREE, T .MAHESH KUMAR M.Tech, Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India Professor of Computer Science Department, Jawaharlal Nehru Technological University, Hyderabad, India M.Tech, Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India
Abstract: Vehicular Ad hoc Networks is used for communicating with nearby vehicles and between vehicles and nearby fixed equipments. VANET is also a kind of MANET. VANETs are mainly used for improving safety and efficiency of (future) transportation. There are many chances for the possible attacks in VANET due to open nature of wireless environment. There are different types of attacks in the wireless medium. In this paper, we have discussed about the attacks in the VANETs. We have also proposed the solution for the attacks by providing Authentication in the VANET by using Virtual Certificate Authority among the vehicles. Also, an efficient solution is being proposed for Denial of service (DOS) based attacks which uses the redundancy avoidance mechanism consists of rate of decreasing memory among the vehicles. This solution will basically add more security to the already existing solutions of using various alternative options like frequency-hopping, channel-switching, communication technology switching and multiple-radio transceivers to counter affect the DOS attacks.
Keywords: VANET, sensors, Virtual Certificate Authority, Denial of service.
SHARVANI G S, TUSHARA C K Associate Professor, Department of CSE, RVCE, Bangalore, India M.Tech Student, Department of CSE, RVCE, Bangalore, India
Abstract: Cloud computing is a delivery of computing as a service with shared resources, software and information over a network. The key advantage of the cloud is the flexibility and scalability. Due to its widespread nature of computing technologies all the IT organisations are drawn towards cloud. Cloud provides different service models like platform as a service, infrastructure as a service and software as a service. Cloud contains different infrastructure like storage, server and networks and applications like web apps and database. Cloud provides on demand access to shared resources and services which are hosted on datacenters at cloud providers. Effective management of these shared resources and services is a major requirement of cloud computing. Cloud management is complex and faces great challenges due to different infrastructure, different vendors and business view point of different users. Several cloud management challenges includes security, abstraction, processes, policies, dynamism, network resource management, corporate account management etc. The traditional cloud management requires installation of software, updates and patches. This software is different for a different infrastructure vendor hence increases the complexity of management. Hence to overcome this, there is a need of management framework which manages all the functions irrespective of vendors. This paper provides a survey of different management model proposed by many authors.
Keywords: cloud computing, cloud management, resource management, private cloud, public cloud, infrastructure as a service, cloud security management, collaborative cloud.
