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VOLUME 1, ISSUE 2, APRIL 2012
Optimization Of Blind Spoofing Using Discrete Model
Dr. Rengarajan Alwar, Dr. Sugumar Rajendran, Dr. Saravanakumar Selvaraj
Adaptive multiuser detection, power control, spreading sequences, utility, wireless communications.
Analysis of Phonetic Matching Approaches for Indic Languages
Sandeep Chaware, Srikantha Rao
Soundex, Q-gram, Indic-phonetic, threshold, phonetic matching
Determining the Existence of Quantitative Association Rule Hiding in Privacy Preserving Data Mining
Dr.Sugumar Rajendran, Dr.Rengarajan Alwar, Dr.Saravanakumar Selvaraj
Association rules, Apriori algorithm, Itemsets, data mining.
VNC ARCHITECTURE BASED REMOTE DESKTOP ACCESS THROUGH ANDROID MOBILE PHONES
Archana Jadhav, Vipul Oswal, Sagar Madane, Harshal Zope, Vishal Hatmode
Android, Java, Wi-Fi, Mobile Terminal
Performance Comparison of Adaptive Filter Algorithms for ECG Signal Enhancement
Mr.Syed Ateequr Rehman, Mr.R.Ranjith Kumar
ECG, Adaptive filter Algorithms, LMS, NLMS, DLMS, SRLMS, NSRLMs.
Mean-Shift Algorithm: Verilog HDL Approach
Mr.Rahul V.Shah, Mr.Amit Jain, Mrs.Ekata Mehul, Mr.Rutul B.Bhatt, Mr.Pinal Engineer
Object tracking, complexity in hardware ASIC, Mean Shift algorithm, Histogram, Bhattacharyya coefficient
Analysis of SEER Dataset for Breast Cancer Diagnosis using C4.5 Classification Algorithm
K.Rajesh, Dr. Sheila Anand, PG Student, Dean (Research) Computer Studies
Breast Cancer Diagnosis, Classification, Clinical Data, SEER Dataset, C4.5 Algorithm
An Evaluation of Log File & Compression Mechanism
Mr.Raj Kumar Gupta, Ms.Rashmi Gupta
Log file, Cyber Forensic, File compression
Review of Algorithms for Web Pre-fetching and Caching
Ms.Sandhaya Gawade, Mr.Hitesh Gupta
Prediction, Pre-fetching, Web Caching
Interleavers for IDMA Technology: A Comparison Survey
Mr.Kuldeep choudhary, Mr.P.S. Sharma
computational complexity, interleaving; bandwidth requirement; memory requirement; orthogonality
Comparison of Segmentation Methods for Ultra Sound Images
Mr.P.Hemanth Kumar, Mr. Stafford Michahial, Ms.A.M.Prathibha
Security Requirements in Mobile Ad Hoc Networks
Mrs. V. Umadevi Chezhian, Dr. Ramar, Mr.Zaheer Uddin Khan
MANET, Security, Authentication, Integrity, Non-repudiation, Confidentiality, Key and Trust Management, and Access Control.
Abstract
Optimization Of Blind Spoofing Using Discrete Model
Dr. Rengarajan Alwar, Dr. Sugumar Rajendran, Dr. Saravanakumar Selvaraj
Adaptive multiuser detection, power control, spreading sequences, utility, wireless communications.
Abstract: In order to improve the optimizing efficiency, one dimensional blind-walking optimization method is proposed, which can be realized by halving step or doubling step for the applicability test condition of the sensing point. The optimum point, then, can be reached at high rate by doubling step and converged by halving step. Current point should be updated in whole design space. The flow chart of this algorithm with operating process is put forward. And then, two optimization problems with uni-modal and multimodal objective functions are solved respectively. The simulation results show that the proposed method is better than the ordinary method, which has the advantages of fast convergence speed, less calculating amounts, and wide application scope, etc. Taking the method as innovative kernel, random research method, feasible direction method and other complex methods are improved. Its characteristics are suitable for vivid teaching like interpreting. The linear subspace-based blind and group-blind multiuser detectors recently developed represent a robust and efficient adaptive multiuser detection technique for code-division multiple-access (CDMA) systems. In this paper, we consider adaptive transmitter optimization strategies for CDMA systems operating in fading multipath environments in which these detectors are employed. We make use of more recent results on the analytical performance of these blind and group-blind receivers in the design and analysis of the transmitter optimization techniques. In particular, we develop a maximum-eigenvector-based method of optimizing spreading codes for given channel conditions and a utility-based power control algorithm for CDMA systems with blind or group-blind multiuser detection.
Keywords: Adaptive multiuser detection, power control, spreading sequences, utility, wireless communications.
Keywords: Adaptive multiuser detection, power control, spreading sequences, utility, wireless communications.
Abstract
Analysis of Phonetic Matching Approaches for Indic Languages
Sandeep Chaware, Srikantha Rao
Soundex, Q-gram, Indic-phonetic, threshold, phonetic matching
Abstract: Phonetic matching plays an important role in multilingual information retrieval, where data is manipulated in multiple languages. User needs information in their local language which may be different from the language where data has been maintained. In such an environment, we need a system which matches the strings phonetically irrespective of errors either exactly or approximately. There are many errors or variations can be considered but here we had considered typographical errors, spelling errors as differ in vowel and matching of compound words. There are many approaches has been proposed like soundex, q-gram, phoenix etc., but they may produce an ambiguity in matching or may not be applicable to Indian languages. In this paper, we proposed approaches which match the strings either in Hindi or Marathi accurately. We evaluated the three approaches namely Soundex, Q-gram and Indic-Phonetic by generating cases like length-of-string (LOS), differ in vowel and compound words for Hindi and Marathi. We found that Indic-Phonetic approach is an efficient and accurate as compared to other two approaches.
Keywords: Soundex, Q-gram, Indic-phonetic, threshold, phonetic matching.
Keywords: Soundex, Q-gram, Indic-phonetic, threshold, phonetic matching.
Abstract
Determining the Existence of Quantitative Association Rule Hiding in Privacy Preserving Data Mining
Dr.Sugumar Rajendran, Dr.Rengarajan Alwar, Dr.Saravanakumar Selvaraj
Association rules, Apriori algorithm, Itemsets, data mining.
Abstract: Determining the association rules is a core topic of privacy preserving data mining. This paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The concept behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation.
Keywords: Association rules, Apriori algorithm, Itemsets, data mining.
Keywords: Association rules, Apriori algorithm, Itemsets, data mining.
Abstract
VNC ARCHITECTURE BASED REMOTE DESKTOP ACCESS THROUGH ANDROID MOBILE PHONES
Archana Jadhav, Vipul Oswal, Sagar Madane, Harshal Zope, Vishal Hatmode
Android, Java, Wi-Fi, Mobile Terminal
Abstract: In this paper, we will enlist the process to access the desktops of remote computer systems with the use of a android based cellular phone. This process will be carried out using Virtual Network Computing based architecture. A user will be able to access and manipulate the desktops of remote computers through a VNC viewer that will be provided on the user's cell-phone. Conditions that must be followed are that a VNC server must be installed on the person's computer which will be monitored and it must be connected to a Wi-Fi network. The user can access and manipulate the desktop within the Wi-Fi range irrespective of various platforms like windows, mac or linux. The image of the desktop is compressed before it is transmitted to the cellular phone. There are several functions provided so as to ease the viewing on cell-phones. There is shortcut function that can be used to quickly access the frequently used area. Current key assignments can be viewed using guidance function. A user can view two areas simultaneously using a twin view function. The prototype is already implemented using java and tested on a java based cellular phone.
Keywords: Android, Java, Wi-Fi, Mobile Terminal, Desktop.
Keywords: Android, Java, Wi-Fi, Mobile Terminal, Desktop.
Abstract
Performance Comparison of Adaptive Filter Algorithms for ECG Signal Enhancement
Mr.Syed Ateequr Rehman, Mr.R.Ranjith Kumar
ECG, Adaptive filter Algorithms, LMS, NLMS, DLMS, SRLMS, NSRLMs.
Abstract: In this paper various adaptive filter based algorithms that can be applied to ECG signal in order to remove various artefacts from them are presented. The goal of the paper is to show the comparison based on signal to noise ratios of all the adaptive filter algorithms used for the analysis of ECG signals with Power line Interference. Simulation studies shows that the proposed novel algorithms like NLMS and DLMS based adaptive systems present better performances compared to existing realizations LMS, SRLMS and NSRLMS based procedures in terms of signal to noise ratio.
Keywords: ECG, Adaptive filter Algorithms, LMS, NLMS, DLMS, SRLMS, NSRLMS.
Keywords: ECG, Adaptive filter Algorithms, LMS, NLMS, DLMS, SRLMS, NSRLMS.
Abstract
Mean-Shift Algorithm: Verilog HDL Approach
Mr.Rahul V.Shah, Mr.Amit Jain, Mrs.Ekata Mehul, Mr.Rutul B.Bhatt, Mr.Pinal Engineer
Object tracking, complexity in hardware ASIC, Mean Shift algorithm, Histogram, Bhattacharyya coefficient
Abstract: Object tracking algorithms, when it comes to implementing it on hardware ASIC, it becomes difficult task, due to certain limitations in hardware. This paper shows how mean-shift algorithm is implemented in HDL along with the description of ports and interfaces.
Keywords: Object tracking, complexity in hardware ASIC, Mean Shift algorithm, Histogram, Bhattacharya coefficient
Keywords: Object tracking, complexity in hardware ASIC, Mean Shift algorithm, Histogram, Bhattacharya coefficient
Abstract
Analysis of SEER Dataset for Breast Cancer Diagnosis using C4.5 Classification Algorithm
K.Rajesh, Dr. Sheila Anand, PG Student, Dean (Research) Computer Studies
Breast Cancer Diagnosis, Classification, Clinical Data, SEER Dataset, C4.5 Algorithm
Abstract: Medical professionals need a reliable prediction methodology to diagnose cancer and distinguish between the different stages in cancer. Classification is a data mining function that assigns items in a collection to target groups or classes. C4.5 classification algorithm has been applied to SEER breast cancer dataset to classify patients into either “Carcinoma in situ” (beginning or pre-cancer stage) or “Malignant potential” group. Pre-processing techniques have been applied to prepare the raw dataset and identify the relevant attributes for classification. Random test samples have been selected from the pre-processed data to obtain classification rules. The rule set obtained was tested with the remaining data. The results are presented and discussed.
Keywords: Breast Cancer Diagnosis, Classification, Clinical Data, SEER Dataset, C4.5 Algorithm
Keywords: Breast Cancer Diagnosis, Classification, Clinical Data, SEER Dataset, C4.5 Algorithm
Abstract
An Evaluation of Log File & Compression Mechanism
Mr.Raj Kumar Gupta, Ms.Rashmi Gupta
Log file, Cyber Forensic, File compression
Abstract: with worldwide development of multi-national company’s communication infrastructure required to increase. As the size of these computer networks increases, it becomes more and more difficult to monitor, control, and secure them. Networks consist of a number of diverse devices, sensors, and gateways which are often spread over large geographical areas. Each of these devices produces log files, which need to be analyzed and monitored to provide network security and satisfy regulations. current information systems are replete with log files, created in multiple places (e.g., network servers, database management systems, user monitoring applications, system services and utilities) for multiple purposes (e.g., maintenance, security issues, traffic analysis, legal requirements, software debugging, customer management, user interface usability studies). Log files in complex systems may quickly grow to huge sizes. Often, they must be kept for long periods of time. For reasons of convenience and storage economy, log files should be compressed. However, most of the available log file compression tools use general-purpose algorithms (e.g., Deflate) which do not take advantage of redundancy specific for log files. Presented paper describes an optimal framework for log-file compression.
Keywords: Log file, Cyber Forensic, File compression
Keywords: Log file, Cyber Forensic, File compression
Abstract
Review of Algorithms for Web Pre-fetching and Caching
Ms.Sandhaya Gawade, Mr.Hitesh Gupta
Prediction, Pre-fetching, Web Caching
Abstract: Increasing popularity of the World Wide Web over the past few years has imposed a significant traffic burden upon the internet. The World Wide Web may be considered to be a large distributed information systems providing access to shared data. A mass research has done to improve the response time of web based system as the information is distributed over a geographical location. Web caching and pre-fetching are two important approaches used to reduce the noticeable response time perceived by users. An ideal pre-fetching caching scheme is a system that able to predict the next (number of next) requests and pre-load those into the cache .The pre-fetched objects are stored in a local cache to reduce the latency time. This is paper presents survey of algorithms for handling a web caching and pre- fetching
Keywords: Prediction, Pre-fetching, Web Caching
Keywords: Prediction, Pre-fetching, Web Caching
Abstract
Interleavers for IDMA Technology: A Comparison Survey
Mr.Kuldeep choudhary, Mr.P.S. Sharma
computational complexity, interleaving; bandwidth requirement; memory requirement; orthogonality
Abstract: This paper provides a review on the IDMA (Interleave Division Multiple Access) technology in communication system based on different types of interleavers. IDMA employs interleavers as the only means in order to distinguish the users. This paper provides a comprehensive study of IDMA technique with orthogonal interleavers, power interleavers, prime interleavers, tree based interleavers and random interleavers. In this paper, we compare different interleavers based on computational complexity, bit error rate and memory requirement. The few basic requirements for future wireless 4G systems includes low receiver cost, decentralized (i.e. asynchronous)
services, high user number, high throughput and high spectral efficiency.
Keywords: computational complexity, interleaving; bandwidth requirement; memory requirement; orthogonality
services, high user number, high throughput and high spectral efficiency.
Keywords: computational complexity, interleaving; bandwidth requirement; memory requirement; orthogonality
Abstract
Security Requirements in Mobile Ad Hoc Networks
Mrs. V. Umadevi Chezhian, Dr. Ramar, Mr.Zaheer Uddin Khan
MANET, Security, Authentication, Integrity, Non-repudiation, Confidentiality, Key and Trust Management, and Access Control.
Abstract: The performance evaluation have their place in wireless network research, the current and future applications of the ad hoc networks have forced the research community to look at dependability and security aspects as eavesdropping and jamming. Security is a basic and paramount requirement for an ad hoc network because of its intrinsic vulnerabilities in order for users to perform protected peer-to-peer communication over multi-hop wireless channel. Depending on the application context, a user may desire various security services such as authentication, integrity, non-repudiation, Confidentiality, Key and Trust Management and access control. Unlike wired networks that have dedicated routers, MANET has infrastructure-free network where the MNs themselves perform basic network function as a router and packet forwarding. Therefore, security in MANETs is a pressing issue, which needs immediate research attention.
Keywords: MANET, Security, Authentication, Integrity, Non-repudiation, Confidentiality, Key and Trust Management, and Access Control.
Keywords: MANET, Security, Authentication, Integrity, Non-repudiation, Confidentiality, Key and Trust Management, and Access Control.