Ajay Kumar Garg Engineering College

Ghāziābād, India

Ajay Kumar Garg Engineering College

Ghāziābād, India
Time filter
Source Type

Priya,Ajay Kumar Garg Engineering College | Singh S.,Amity University
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016

Application of neural networks for direct prediction of lateral-directional force and moments coefficients from the measured flight data of the research aircraft is proposed in this paper. Proposed model of neural networks appears to be a suitable practical approach to develop relationship between flight variables. This relationship eliminates the need of aerodynamic model as well as thrust model to develop accurate flight simulation software for the aircraft. The validation of proposed feed forward neural networks based technique is done with simulated as well as measured flight data of the aircraft. © 2016 IEEE.

Singh N.,Ajay Kumar Garg Engineering College | Tyagi K.,Ajay Kumar Garg Engineering College
International Journal of Systems Assurance Engineering and Management | Year: 2017

Many approaches are available for finding the reliability of service-oriented architecture (SOA). Here some mathematical works are used to estimate the system reliability. But in present, reliability is real time issue. So, the estimation of system reliability is a very difficult task. For this we have to discuss soft computing technique that is multi-criteria decision making method. This approach is used to provide the rank for each alternative service to select the best service for estimation. In this paper, we have used fuzzy multicriteria analysis with similarity based approach for reliability estimation. Also, we propose some factors that affect the SOA reliability. These factors work as criterion and we have taken three services as alternative. © 2015, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.

Verma V.S.,Ajay Kumar Garg Engineering College | Jha R.K.,Indian Institute of Technology Patna
Journal of the Franklin Institute | Year: 2017

This paper proposes a new watermarking approach using dynamic stochastic resonance (DSR) based tuning operation to extract the watermark logo from the watermarked image that has undergone different intentional and signal processing attacks. This method is intended to provide remedies from the shortcomings of the technique proposed by Lin et al. (2008), and invalidates the effect of intentional attacks recently designed by Meerwald et al. (2009). The algorithm incorporates three level image decomposition using lifting wavelet transform (LWT) and low-pass subband is utilized for data hiding purpose. Watermark bits are embedded into the blocks of non-overlapped wavelet coefficients of the cover image by quantizing the two maximum coefficients of the corresponding block. In watermark extraction process, the DSR is applied by performing the tuning operation on coefficient blocks of attacked watermarked image. It is a parameter dependent approach that enhances the performance of watermark extraction, where the parameters of DSR inherently depend on the image properties such as standard deviation or variance. As far as security is concerned, the randomization of wavelet coefficients, blocks, and watermark bits helps the framework to be more secure. The proposed technique is also examined against multiple watermarking attack and successfully proves its authenticity and ownership. Comparison of the proposed technique with recent techniques shows remarkable improvement in terms of robustness and security against various intentional, signal processing, and geometrical attacks. © 2017 The Franklin Institute.

Rai A.K.,Ajay Kumar Garg Engineering College | Singh B.,Ajay Kumar Garg Engineering College
Solar Energy Materials and Solar Cells | Year: 2011

In this paper the simulation model of an artificial neural network (ANN) based maximum power point tracking controller has been developed. The controller consists of an ANN tracker and the optimal control unit. The ANN tracker estimates the voltages and currents corresponding to a maximum power delivered by solar PV (photovoltaic) array for variable cell temperature and solar radiation. The cell temperature is considered as a function of ambient air temperature, wind speed and solar radiation. The tracker is trained employing a set of 124 patterns using the back propagation algorithm. The mean square error of tracker output and target values is set to be of the order of 10-5 and the successful convergent of learning process takes 1281 epochs. The accuracy of the ANN tracker has been validated by employing different test data sets. The control unit uses the estimates of the ANN tracker to adjust the duty cycle of the chopper to optimum value needed for maximum power transfer to the specified load. © 2010 Elsevier B.V. All rights reserved.

Vishwachi,Ajay Kumar Garg engineering College | Gupta S.,Ajay Kumar Garg engineering College
Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017 | Year: 2017

Reusing code segments via copying and pasting is quite common practice in the process of software development. The pasted segment may include minor differences from the original segment. As a result of copying and pasting, several code sections may be similar to each other. Such sections are referred to as code clones. This paper presents an approach for detection of these code clones. The reason for detecting them is that they generate problem at the time of software maintenance. The method adopted in this paper involves the use of metrics and Abstract Syntax Trees. © 2017 IEEE.

Garkoti C.,Ajay Kumar Garg Engineering College | Goel V.,Ajay Kumar Garg Engineering College
Proceedings - 2016 International Conference on Micro-Electronics and Telecommunication Engineering, ICMETE 2016 | Year: 2017

In the challenging world of mobile devices, there is a huge need for satisfying the requests of millions of mobile users in a single response. Wireless data broadcasting is the most suitable way of disseminating public information to a number of mobile users. The way of disseminating information must be energy and latency efficient enough so that it can cope with the limitations of a mobile device. A mobile device is mainly characterized by limited bandwidth and limited battery power. Therefore, we implement different indexing techniques for disseminating information so that clients can tune and download data of their own interest while using minimum bandwidth and minimum battery power. There are various indexing schemes available for this purpose. Access time and Tuning time are two main parameters for evaluating the performance of these indexing schemes. Among different indexing schemes, Hashing scheme gives better results in terms of access time and tuning time. This paper studies, analyzes and compares all the existing Hash-based indexing schemes over wireless data broadcasting environment. Based on the performance of different hashing schemes in different wireless environment, we can choose one of them for disseminating the information. © 2016 IEEE.

Singh A.P.,Ajay Kumar Garg Engineering College | Tomar P.,Gautam Buddha University
Proceedings of the 2013 3rd IEEE International Advance Computing Conference, IACC 2013 | Year: 2013

Component-Based Software Engineering is a perfect approach for rapid software development with the maturity of components. The estimation of Component-Based Software (CBS) reliability from the reliabilities of constituent components and architecture is a matter of concern. In this paper we propose a Reliability Estimation Model for CBS to estimate the reliability through path propagation probability and component impact factor. This model incorporates the idea of path propagation to estimate overall system reliability after integration of components, which considers the contribution of the individual components that get activated during an execution path. This model also estimates the impact factor of individual components on overall reliability. The impact factor can be used to focus the efforts to obtain the best reliability improvements. To evaluate the Reliability Estimation Model including both the factors, we implement it through JAVA, which is based on an adapted example case study. Lastly we conclude that proposed model is useful to estimate the reliability of CBS and can be used adaptively in early stages of software development. © 2013 IEEE.

Goel S.,Raj Kumar Goel Institute of Technology | Yadav S.,Ajay Kumar Garg Engineering College
Proceedings of the 2013 3rd IEEE International Advance Computing Conference, IACC 2013 | Year: 2013

With the magnificent amount of information present on web, it is very important to identify whether the search engine satisfy all the requirements of users by their search results. So, it is necessary to evaluate search engines based on user point of view. Basically evaluation of search engines is a process of determining how well the search engines meet the information need of users. In this paper we present our approach of search engine evaluation which is based upon page level keywords. Page level keywords are the keywords found in individual pages of a website. Page level keyword is an important factor to measure the relevancy of the search engine results. The result set retrieved by search engines are containing a huge number of useless web pages. Users may have to sift through dirt's in order to find gemstones or to rethink his query. So our work can be a basis to provide more relevant search results to the users. Three Search engines Google, Yahoo and Bing are evaluated based on educational queries in accordance with page level keywords. We verify the results with precision measurement using 40 educational queries at cut off 10. © 2013 IEEE.

Tyagi K.,Ajay Kumar Garg Engineering College | Sharma A.,Krishna Institute of Engineering and Technology
Advances in Engineering Software | Year: 2012

Reliability is one of the most important nonfunctional requirements for software. Accurately estimating reliability for component-based software systems (CBSSs) is not an easy task, and researchers have proposed many approaches to CBSS reliability estimation. Some of these approaches focus on component reliability and others focus on glue code reliability. All of the approaches that have been proposed are mathematical. However, because reliability is a real-world phenomenon with associated real-time issues, it cannot be measured accurately and efficiently with mathematical models. Soft computing techniques that have recently emerged can be used to model the solution of real-world problems that are too difficult to model mathematically. The two basic soft computing techniques are fuzzy computing and probabilistic computing. In this paper, we focus on four factors that have the strongest effect on CBSS reliability. Based on these four factors, we propose a new fuzzy-logic-based model for estimating CBSS reliability. We implemented and validated our proposed model on small applications, and the results confirm the effectiveness of our model. © 2012 Elsevier Ltd. All rights reserved.

Kumar S.,Ajay Kumar Garg Engineering College
Astrophysics and Space Science | Year: 2012

Some recent experimental observations have been shown that inclusion of electron collisions damping in inertial Alfvén wave (IAW) dynamics may be important for laboratory as well as space plasmas. This paper presents the numerical simulation of model equation governing the nonlinear dynamics of IAW in low-beta plasmas. When the nonlinearity arises due to the ponderomotive force and Joule heating driven density perturbations, the model equation turns out to be a modified nonlinear Schrödinger equation (MNLS). The electron collisions are introduced only in the electron momentum equation. The damped localized structures of IAW with sidebands are obtained. Also, the effect of collisional damping on power spectra of magnetic fluctuations with different scaling laws has been studied. These turbulent structures may be responsible for particle acceleration in laboratory and space plasmas. © 2011 Springer Science+Business Media B.V.

Loading Ajay Kumar Garg Engineering College collaborators
Loading Ajay Kumar Garg Engineering College collaborators