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Institution

YMCA University of Science and Technology

EducationFaridabad, India
About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web page & Web crawler. The organization has 299 authors who have published 568 publications receiving 4547 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the performance of a quarter car model with three-degrees-of-freedom having a Magneto-Rheological (MR) suspension system is evaluated under cyclic excitation conditions.
Abstract: This paper presents vibration control performance of quarter car model with three-degrees-of-freedom having Magneto- Rheological (MR) suspension system. Experimental work is performed on an MR shock absorber prototype under various cyclic excitation conditions. A polynomial model is selected to characterize the test results of MR shock absorber. The designed forward fuzzy logic controller (FFLC) and inverse fuzzy logic controller (IFLC) are assembled in the secondary suspension system of quarter car model. The response plots in time domain due to bump road disturbance related to passenger seat are obtained for uncontrolled and controlled quarter car models. Simulation results are compared for selection of best option which can provide maximum ride comfort to travelling passengers. Simulation results demonstrate that semi-active quarter car system provides improved overall performance in terms of passenger ride comfort and safety compared to uncontrolled system.

16 citations

Journal ArticleDOI
TL;DR: This will be the first study which used combine approach of ANP and GTMA leading to single numerical index of effectiveness for a manufacturing system, and will help managers to benchmark the effectiveness of manufacturing system with their peers.
Abstract: Evaluating effectiveness of a manufacturing system is increasingly recognized as a tool for gaining competitive success. Today, lot of new manufacturing technologies are coming into the market. To build confidence of managers in adopting these new technologies, measurement of their effectiveness is must. So, developing a model on measurement of effectiveness for a manufacturing system will be significant from strategic management point of view. Manufacturing effectiveness factors from the literature and an expert questionnaire were utilized prior to building the effectiveness measurement model. To prioritize these, we used well known multi-attribute decision making (MADM) technique-Analytical Network Process (ANP). ANP allows interdependencies and feedback within and between clusters of factors. ANP is the generalized form of AHP. A group of experts were consulted to establish interrelations and to provide weightage for pairwise comparison. Outcome of the ANP is weighted comparison of the factors. A Manufacturing System Effectiveness Index (MSEI) is also calculated by using robust MADM technique-Graph Theoretic and Matrix Approach (GTMA). This index is a single numerical value and will help managers to benchmark the effectiveness of manufacturing system with their peers. A case study in three organisations is performed to demonstrate and validate the use of GTMA for calculation of MSEI. To the authors’ knowledge, this will be the first study which used combine approach of ANP and GTMA leading to single numerical index of effectiveness for a manufacturing system.

16 citations

Journal ArticleDOI
TL;DR: The following work presents algorithms that handle almost all the constructs of procedural programming languages that are applied to C programs and is currently being tested on a financial enterprise resource planning system.
Abstract: Test Data Generation is the soul of automated testing. The dream of having efficient and robust automated testing software can be fulfilled only if the task of designing a robust automated test data generator can be accomplished. In the work we explore the gaps in the existing techniques and intend to fill these gaps by proposing new algorithms. The following work presents algorithms that handle almost all the constructs of procedural programming languages. The proposed technique uses cellular automata as its base. The use of Cellular Automata brings a blend of artificial life to the work. The work is a continuation of our earlier attempt to amalgamate Cellular Automata based algorithms to generate test data. The technique has been applied to C programs and is currently being tested on a financial enterprise resource planning system. Since, the solution of most of the problems can be found by observing nature, we must explore artificial nature to accomplish the above task.

16 citations

Journal ArticleDOI
TL;DR: In this article, a systematic model of USEDM performance index is proposed to utilize graph theoretic approach (GTA) to comprehend an interactive learning process of ultrasonic vibration assisted electrical discharge Machining (USEDM) process performance index.
Abstract: This paper is an endeavor to comprehend an interactive learning process of ultrasonic vibration assisted Electrical Discharge Machining (USEDM) process performance index. The factors influencing the USEDM process are identified and analyzed, through a logical and systematic framework of graph theory and matrix approach. The interdependency of factors are distinguished and examined. A systematic model of USEDM performance index is proposed to utilize graph theoretic approach (GTA). The performance index for USEDM is obtained so from the matrix model and digraphs to comprehend the power of subjective factors affecting. Factors and sub-factors impacting the performance are perceived and collected into five essential groups e.g. flushing, cavitation, abnormal discharge, dimensional accuracy and surface morphology. GTA framework reveals that the flushing, surface morphology and dimensional accuracy impact the basically ascertains, however cavitation effect can in like manner be unequivocal variables for USEDM performance index regard.

16 citations

Journal ArticleDOI
TL;DR: The work presented intends to automate the process of Test Data Generation with a goal of attaining maximum coverage and is a part of a larger system being developed, which takes into account both black box and white box testing.
Abstract: Manual Test Data Generation is an expensive, error prone and tedious task. Therefore, there is an immediate need to make the automation of this process as efficient and effective as possible. The work presented intends to automate the process of Test Data Generation with a goal of attaining maximum coverage. A Cellular Automata system is discrete in space and time. Cellular Automata have been applied to things like designing water distribution systems and studying the patterns of migration. This fascinating technique has been amalgamated with standard test data generation techniques to give rise to a technique which generates better test cases than the existing techniques. The approach has been verified on programs selected in accordance with their Lines of Code and utility. The results obtained have been verified. The proposed work is a part of a larger system being developed, which takes into account both black box and white box testing.

15 citations


Authors

Showing all 322 results

NameH-indexPapersCitations
Bharat Bhushan116127662506
Vikas Kumar8985939185
Dinesh Kumar69133324342
M K Arti21491179
Tilak Raj20681541
Parmod Kumar1948895
O.P. Mishra18461242
Neeraj Sharma18961063
Sandeep Grover18821251
Gurpreet Singh171071158
Vinod Chhokar1555526
Rahul Sindhwani1441498
Vineet Jain1434495
Arvind Kumar14118934
Rajesh Attri1341665
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202319
202220
20215
202021
201947
2018104