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International Conference on Recent Trends in Information technology

作者： Singh, Ran Vijay Bhatia, M.P.S. Department of Computer Science and Engineering Netaji Subhash Institute of Technology University of Delhi New Delhi India

ISBN: (纸本)9781457705885

This paper presents a data clustering approach using modified K-Means algorithm based on the improvement of the sensitivity of initial center (seed point) of clusters. This algorithm partitions the whole space into different segments and calculates the frequency of data point in each segment. The segment which shows maximum frequency of data point will have the maximum probability to contain the centroid of cluster. The number of cluster's centroid (k) will be provided by the user in the same manner like the traditional K-mean algorithm and the number of division will be k*k (k vertically as well as k horizontally). If the highest frequency of data point is same in different segments and the upper bound of segment crosses the threshold k then merging of different segments become mandatory and then take the highest k segment for calculating the initial centroid (seed point) of clusters. In this paper we also define a threshold distance for each cluster's centroid to compare the distance between data point and cluster's centroid with this threshold distance through which we can minimize the computational effort during calculation of distance between data point and cluster's centroid. It is shown that how the modified k-mean algorithm will decrease the complexity & the effort of numerical calculation, maintaining the easiness of implementing the k-mean algorithm. It assigns the data point to their appropriate class or cluster more effectively. © 2011 IEEE.

关键词： Cluster analysis

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APPLICATION OF ANT COLONY OPTIMIZATION TO DEVELOP ENERGY EFFICIENT PROTOCOL IN MOBILE AD-HOC NETWORKS

APPLICATION OF ANT COLONY OPTIMIZATION TO DEVELOP ENERGY EFF...

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International Conference on Wireless Information Networks and Systems

作者： Sanjay K. Dhurandher Mohammad S. Obaidat Mayank Gupta CAITFS Division of Information Technology Netaji Subhas Institute of Technology University of Delhi Department of Computer Science & Software Engineering Monmouth University Division of Computer Engineering Netaji Subhas Institute of Technology University of Delhi

ISBN: (纸本)9789898425737

Foraging Behavior in Ant Swarms can be very helpful when applied to the protocols in Mobile Ad hoc NETworks (MANETs). When the Ant Colony Optimization Scheme (ACO) is applied to a protocol, larger number of paths are generated from the source to destination which helps in improving the packet delivery ratio because an alternate back up path is always available in case a path gets broken due to the mobile nodes. In this paper, we apply the ACO scheme on an already existing Energy efficient protocol Conditional Max-Min Battery Capacity Routing (CMMBCR) (C.-K. Toh, 2001). The CMMBCR not only takes care of the total transmission energy in the network but also the residual battery capacity of the nodes. Hence applying ACO scheme on CMMBCR makes it more efficient in terms of energy, packet delivery ratio etc. The efficiency of our proposed protocol A-CMMBCR is then established by comparing it with some of the other existing Energy aware protocols such as Energy-Aware Routing protocol (EAAR) (Dhurandher et al., 2009), Minimum Transmission Power Routing (MTPR) (Scott and Bambos, 1996) and CMMBCR. The results are captured in the form of a graphical format.

关键词： Mobile ad hoc networks Any colony schemes Optimization Energy-aware protocols

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MOS Current Mode Logic with Capacitive Coupling

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International Scholarly Research Notices 2012年第1期2012卷

作者： Kirti Gupta Neeta Pandey Maneesha Gupta Department of Electronics and Communication Engineering Delhi Technological University Delhi-110042 Indiadce.edu Department of Electronics and Communication Engineering Netaji Subhas Institute of Technology New Delhi-110078 Indiansit.ac.in

A new MOS current mode logic (MCML) style exhibiting capacitive coupling to enhance the switching speed of the digital circuits is proposed. The mechanism of capacitive coupling and its effect on the delay are analytically modeled. SPICE simulations to validate the accuracy of the analytical model have been carried out with TSMC 0.18 μ m CMOS technology parameters. Several logic gates such as five-stage ring oscillator, NAND, XOR2, XOR3, multiplexer, and demultiplexer based on the proposed logic style are implemented and their performance is compared with the conventional logic gates. It is found that the logic gates based on the proposed MCML style lower the delay by 23 percent. An asynchronous FIFO based on the proposed MCML style has also been implemented as an application.

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Applying genetic algorithm for prioritization of test case scenarios derived from UML diagrams

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International Journal of computer Science Issues 2011年第3 3-2期8卷 433-444页

作者： Sabharwal, Sangeeta Sibal, Ritu Sharma, Chayanika Department of computer Science and IT Netaji Subhas Institute of Technology Delhi India

Software testing involves identifying the test cases which discover errors in the program. However, exhaustive testing of software is very time consuming. In this paper, a technique is proposed to prioritize test case scenarios by identifying the critical path clusters using genetic algorithm. The test case scenarios are derived from the UML activity diagram and state chart diagram. The testing efficiency is optimized by applying the genetic algorithm on the test data. The information flow metric is adopted in this work for calculating the information flow complexity associated with each node of the activity diagram and state chart diagram. If the software requirements change, the software needs to be modified and this requires re - testing of the software. Hence, to take care of requirements change, a stack based approach for assigning weights to the nodes of activity diagram and state chart diagram has also been proposed. In this paper, we have extended our previous work of generating test case scenarios from activity diagram by also considering the concurrent activities in nested activity diagram.

关键词： Genetic algorithms

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Approximation by a Durrmeyer-type operator in compact disks

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Annali dell'Universita di Ferrara 2011年第2期57卷 261-274页

作者： Gal, Sorin G. Gupta, Vijay Department of Mathematics and Computer Science University of Oradea 410087 Oradea Str. Universitatii 1 Romania School of Applied Sciences Netaji Subhas Institute of Technology New Delhi 110078 Sector 3 Dwarka India

In this paper, the exact order of simultaneous approximation and Voronovskaja kind results with quantitative estimate for a new type of complex Durrmeyer polynomials, attached to analytic functions in compact disks are obtained. In this way, we put in evidence the overconvergence phenomenon for this kind of Durrmeyer polynomials, namely the extensions of approximation properties with exact quantitative estimates, from the real interval [0, 1] to compact disks in the complex plane. © 2011 Università degli Studi di Ferrara.

关键词： Complex Durrmeyer-type operators Complex simultaneous approximation Exact degrees of approximation Voronovskaja-type result

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Analyses of web usage mining techniques to enhance the capabilities of E-learning environment

Analyses of web usage mining techniques to enhance the capab...

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International Conference on Emerging Trends in Networks and computer Communications (ETNCC)

作者： Anuradha Yadav Satbir Jain Department of computer Engineering Netaji Subhas Institute of Technology Delhi University New Delhi India

World Wide Web is today the most important media for collecting, sharing and distributing information. Education is one of the fields where web-based technology has been quickly and successfully adopted. Web mining is active research area which involves transformation and interpretation of web data to find out the hidden information by using various data mining techniques which will be useful in enhancing E learning environment. Web usage mining for e learning environment can mine the server logs to find the user usage pattern so that users can be provided with more personalized services. WUM is one of the latest techniques in web data mining which can provide an effective platform to the learner. We focus on identifying learning pattern of learners. This paper introduces how by using WUM techniques we can make e learning environment more effective. Based on WUM technique how we can design an effective e learning environment and implementation of the model builds more intelligent system and can promote interest of learners or learning environment is modifying its behavior to reflect learning style.

关键词： Data mining Electronic learning Servers Web pages Navigation Knowledge engineering computers

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A hybrid Firefly Algorithm using genetic operators for the cryptanalysis of a monoalphabetic substitution cipher

A hybrid Firefly Algorithm using genetic operators for the c...

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2011 World Congress on Information and Communication Technologies, WICT 2011

作者： Luthra, Jitin Pal, Saibal K. Department of Manufacturing Processes and Automation Engineering Netaji Subhas Institute of Technology New Delhi India Scientific Analysis Group Defense Research and Development Organization New Delhi India

ISBN: (纸本)9781467301251

The monoalphabetic substitution cipher encrypts a given text by replacing every letter in the text with a different letter according to some predefined scheme. The cryptanalysis of this cipher involves the identification of this scheme using known language statistical data. The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behavior of fireflies. This paper discusses the integration of the operators of mutation and crossover commonly used in Genetic Algorithms with the Firefly Algorithm for cryptanalysis of the monoalphabetic substitution cipher. © 2011 IEEE.

关键词： Genetic algorithms

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A genetic algorithm based approach for prioritization of test case scenarios in static testing

A genetic algorithm based approach for prioritization of tes...

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International Conference on computer and Communication technology (ICCCT)

作者： Sangeeta Sabharwal Ritu Sibal Chayanika Sharma Department of computer Science and IT Netaji Subhas Institute of Technology New Delhi India

White box testing is a test technique that takes into account program code, code structure and internal design flow. White box testing is primarily of two kinds-static and structural. Whereas static testing requires only the source code of the product, not the binaries or executables, in structural testing tests are actually run by the computer on built products. In this paper, we propose a technique for optimizing static testing efficiency by identifying the critical path clusters using genetic algorithm. The testing efficiency is optimized by applying the genetic algorithm on the test data. The test case scenarios are derived from the source code. The information flow metric is adopted in this work for calculating the information flow complexity associated with each node of the control flow graph generated from the source code. This research paper is an extension of our previous research paper [18].

关键词： Testing Biological cells Genetic algorithms Complexity theory computers Measurement Communications technology

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Implementation of 2D MUSIC Algorithm for Denoising,Representing and Classification of Microarray Data

Implementation of 2D MUSIC Algorithm for Denoising,Represent...

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2011 4th IEEE International Conference on computer Science and Information technology(ICCSIT 2011)

作者： Pragya Goel Roshan Shankar Sonika Bhatnagar Harish Parthasarathy Division of Computer Engineering Netaji Subhas Institute of Technology University of Delhi New Delhi Division of Biotechnology Netaji Subhas Institute of Technology University of Delhi New Delhi Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology University of Delhi New Delhi

ISBN: (纸本)9781612848334

Microarray is a potential tool to explore information inside *** simultaneously monitoring the expression levels of thousands of genes under specified experimental conditions and using clustering and statistical signal processing techniques on these expression levels it is possible to classify biological specimens(***).However,a prime limitation of microarray data used for analytics and extrapolation is the presence of *** present a novel method utilizing the 2D MUSIC Algorithm for denoising,representation and classification of microarray *** 2D MUSIC algorithm is a frequency estimation technique that separates the high dimensional microarray data into a signal and a noise subspace. It is therefore possible to extract the complex frequency components of a signal in presence of *** algorithm was implemented on a publicly available microarray dataset of lung epithelial cells of smokers with and without cancer. Further,a difference frequency estimator function was used to train an eigenvector based classification tool to distinguish between the microarray data from smokers with and without *** application of this 2D MUSIC Algorithm to the input dataset containing variegated distribution of normal and diseased samples,it was possible to distinguish discernibly between cancerous and non-cancerous samples with good *** technique has potential applications for prognosis and treatment of cancer.

关键词： Microarrays,Denoising,2D MUSIC,Data representation,Classification,Eigenvector function

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Backside thinning of GaAs wafer by lapping using DOE approach

Backside thinning of GaAs wafer by lapping using DOE approac...

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India International Conference on Power Electronics, IICPE 2010

作者： Prakash, Siddi Jai Tyagi, Rinki Gupta, Ashish Department of Electronics and Communication Engineering Netaji Subhas Institute of Technology Delhi India Department of Electronics and Communication Engineering G.B. Pant Engineering College Delhi India Department of Electrical and Electronics Engineering Northern India Engineering College Delhi India

ISBN: (纸本)9781424478835

In this paper, a procedure to achieve efficient and high quality backside thinning of GaAs wafer using the lapping machine is demonstrated and the precautions and set of rules to be followed to utilize it productively are given. We selected the 4 main parameters affecting the lapping process i.e. concentration of the slurry (5 μm Al2O3 used here), pressure on the lapping plate, drop rate from the cylinder, rotations per minute of the lapping plate as the major independent variables and statistically designed the experiment in order to get the best lapping rate. The lapping process was carried out using Logitech PM2A lapping and polishing machine. Best lapping rate of 2 μm/ min was observed in the case when rpm was kept low and all other parameters high. Thus this work provides a set of key notes and observations necessary for the lapping of GaAs wafer using the Logitech PM2A machine with the help of the statistical data of the Design of Experiment (DOE) results to achieve the best lapping rate. ©2011 IEEE.

关键词： Design of experiments

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