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Farīdābād, India
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Agarwal S.K.,YMCAUST | Bansal S.,YMCAUST | Siddiqui A.S.,Jamia Millia Islamia University
Advances in Intelligent Systems and Computing | Year: 2017

Remote controlling or wireless communication is emerging technology with innumerable applications. In process industry closing the control loop over the network adds value to the systems but time delay and packet dropout are the two significant constraints while designing the systems. In this paper, the tuning of control valves (actuators) of petroleum pipe line connected to the controller/s through internet is carried out by a method in which uses frequency response of the plant. The performance of the system is compared on the basis of time delay, jitter, and throughput using different protocols as dynamic source routing DSR protocol, ZRP and OLSR protocol. QualNet 5.0 and MATLAB10.0 is used to simulate the above model. © Springer Science+Business Media Singapore 2017.


Kaur P.,YMCAUST | Aggarwal S.K.,YMCAUST | De A.,NIT
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016

This paper presents design of a subwavelength patch antenna using epsilon negative metamaterial. Firstly, the metamaterial is designed at resonant frequency of reference rectangular patch antenna at 5.2 GHz and then this designed metamaterial is applied underneath the reference patch antenna. Addition of ENG metamaterial underneath the patch antenna decreases its resonant frequency. Simulation results shows that as the number ENG metamaterial layer underneath the patch increases the resonant frequency of reference antenna shift gradually to the lower side. © 2016 IEEE.


Sharma S.,YMCAUST | Jain S.,YMCAUST
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016

Mobile Robotic System (MRS) is an automatic machine capable to move in it's environment to carry out task in field of logistic area. It is a battery or an electric motor operated Computer Controlled mobile transport system. The development of Mobile Robotic System is one of the areas of research. This paper presents the Identification and Parameter Control of Mobile Robotic System. Open loop response of MRS has been simulated and analyzed in this paper. The analysis of open loop response for speed of MRS shows that it is not up to the mark; so; to improve the Speed response of MRS; different type of controller such as PI; PID controllers are implemented and simulated. Furthermore; to enhance its performance full state feedback controller (Pole Placement Controller) is used. Implementation and simulation of different controllers on MRS has been done using MATLAB software tool. Comparison of performance parameters of MRS using different controllers has been done to justify the preference of particular controller. © 2016 IEEE.


Mendiratta S.,YMCAUST | Turk N.,YMCAUST
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017

Optimal Speech feature extraction which tries to acquire a parametric illustration of an input speech signal plays a vital role in the overall performance of an Automatic Speech Recognition (ASR) system. A good feature extraction technique along with feature selection algorithm should capture the important features of the signal and also should reject some irrelevant features. Feature selection is a critical task which can influence the performance of pattern classification and recognition system. In this paper, we have presented a hybrid evolutionary algorithm called Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) for optimal feature extraction and selection strategy. The proposed method consists of three stages, preprocessing, feature extraction and selection, and recognition. Initially, the preprocessing is done by wiener filter to reduce the noise level. Next, we extract eight type of statistical and acoustic features in the feature stage. The optimal set of extracted features is selected by using hybrid ABC-PSO algorithm. Finally, these optimized features are used for training the Support Vector Machine (SVM) classifier and based on these optimized features of the given input speech signal the corresponding text is displayed as the output. The proposed ASR is implemented on the MATLAB working platform and the experimental results show that overall performance of the system is high and the proposed hybrid algorithm is best suited for speech recognition. © 2016 IEEE.


Chahal M.,HCTM | Singh V.,YMCAUST | Garg R.,INDUS Technology
International Journal of Systems Assurance Engineering and Management | Year: 2017

Machinability aspect is of considerable importance for efficient process planning in manufacturing. Machinability of work materials is an imperative aspect which may affect the different manufacturing phases including product design, process planning and machining operation. Machinability of engineering materials may be evaluated in terms of process output variables like surface roughness (SR), material removal rate, cutting forces etc. In this paper, graph theoretic approach is proposed to assess the performance of die steel H-11 using titanium coated carbide cutter, together with spiral type cutter path strategy. SR is considered as machinability attribute to evaluate the effect of several factors and sub-factors. Factors affecting machinability and their interactions are analyzed by developing a mathematical model using digraph and matrix method. Permanent function is obtained from the matrix model and the function value aids in quantifying the influence of considered factors on machinability. Factors affecting SR are grouped into five factors namely work-piece, tool coating, tool geometry, cutter path strategy and machine tool. The results reveals that machine tool has the highest index value and hence the most influencing factor and feed rate is the most significant sub-factor influencing SR of H-11 using titanium coated carbide cutter on CNC Milling. © 2014, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.


Parmar J.,YMCAUST | Verma J.,YMCAUST
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2016

Web access delay faced by the users is a big challenge in front of researchers. Various techniques have been proposed in the last decade that could help reduce this latency time. Primarily, it includes Caching and Web Prefetching. A web object is cacheable and of help to the user if it is not dynamic. Web Prefetching on the other hand pre-fetches and keeps the web objects to be accessed by the user in future in cache based on his interest pattern. But still there is a gap between the user request and the result provided. There is a lack in the relevancy of the results. Web prefetching can be improved if domain ontology could be used and semantics could be analyzed and matched. Semantic Web Prefetching is a technique that tries to analyze the semantics of the keywords provided by the user or the content of the web page. This paper is an effort to provide the state-of-the-art survey of various Semantic Web Prefetching Techniques.


Chahal M.,HCTM | Singh V.,YMCAUST | Garg R.,INDUS Technology
International Journal of Systems Assurance Engineering and Management | Year: 2017

Machinability aspect is of paramount importance for efficient process planning in manufacturing. Machinability of work materials is an imperative aspect which may affect the different manufacturing phases including product design, process planning and machining operation. Machinability of engineering materials may be evaluated in terms of process output variables like surface roughness (SR), material removal rate, cutting forces etc. CNC milling has become one of the most competent, productive and flexible manufacturing methods, for complicated or sculptured surfaces. With the more precise demands of modern engineering products, the control of surface texture has become more important. This paper reports mathematical model for correlating the milling machining parameters such as spindle speed, table feed rate, depth of cut, step over and coolant pressure, with the response characteristic, SR, while machining hot die steel, H-11 with titanium coated carbide end mill cutter. The response surface methodology in conjunction with face centered central composite rotatable design has been used to develop the empirical model for the response. The significance of the mathematical model developed was ascertained using desirability functions and confirmation experiments. The results obtained depict that the mathematical model is useful not only for predicting optimal process parameters for achieving the desired quality but also for achieving the process optimization. © 2016, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.


Singh M.,Jamia Millia Islamia University | Khan I.A.,Jamia Millia Islamia University | Grover S.,YMCAUST
International Journal of Systems Assurance Engineering and Management | Year: 2012

The quality award programmes are applied worldwide. The various quality awards are the criteria for measuring performance excellence. They represent the framework for high-performance management system. In this paper the authors intend to (i) develop a quality award model based on commonalities among criteria of existing quality awards, (ii) develop interdependencies at system/sub system level and (iii) use inheritance and interdependencies to evaluate a numerical index for the developed model using graph theoretic approach. The framework incorporates the critical factors of quality evolution, which further implied for TQM implementation. © 2012 The Society for Reliability Engineering.


Singh M.,Jamia Millia Islamia University | Khan I.A.,Jamia Millia Islamia University | Grover S.,YMCAUST
International Journal of Systems Assurance Engineering and Management | Year: 2011

To manufacture a product, nowadays there are many methods available in the market to manufacture them and to earn more profits and best production which is the prime focus of any manufacturing industry, it is necessary to select only that type of manufacturing process which leads to more profits, less scraps, and reworks, faster production rate, good quality of production, employee satisfaction, customer satisfaction, etc. So the aim of this paper is to judge the best manufacturing process among various manufacturing processes for manufacturing any product using graph theoretic approach. The graph theoretic approach reveals a single numerical index and accordingly it is possible to choose the best manufacturing process. To apply the graph theoretic approach the authors selected four factors namely: Quality, Cost, Technical Capability, and Production. Based on these factors and their co-factors a fish bone diagram is represented. While applying graph theoretic approach a digraph of the characteristics is drawn which represented the factors and co-factors affecting the selection of manufacturing process and further the interdependency of the factors as well as their inheritances has been identified and its representation in the matrix form has been used for the calculation of numerical index of the manufacturing process through its variable permanent quality function. The technique is applicable when there are more than options are available for manufacturing a product. An example is also shown in the last of the paper to understand the application of graph theoretic approach for the selection of best manufacturing process among three processes. © 2012 The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.


Chahal P.,YMCAUST | Singh M.,YMCAUST | Kumar S.,FET
Proceedings of the 2013 International Conference on Information Systems and Computer Networks, ISCON 2013 | Year: 2013

In recent years, semantic search for relevant documents on web has been an important topic of research. Many semantic web search engines have been developed like Ontolook, Swoogle, etc that helps in searching meaningful documents presented on semantic web. The concept of semantic similarity has been widely used in many fields like artificial intelligence, cognitive science, natural language processing, psychology. To relate entities/texts/documents having same meaning, semantic similarity approach is used based on matching of the keywords which are extracted from the documents using syntactic parsing. The simple lexical matching usually used by semantic search engine does not extract web documents to the user expectations. In this paper we have proposed a ranking scheme for the semantic web documents by finding the semantic similarity between the documents and the query which is specified by the user. The novel approach proposed in this paper not only relies on the syntactic structure of the document but also considers the semantic structure of the document and the query. The approach used here includes the lexical as well as the conceptual matching. The combined use of conceptual, linguistic and ontology based matching has significantly improved the performance of the proposed ranking scheme. We explore all relevant relations between the keywords exploring the user's intention and then calculate the fraction of these relations on each web page to determine their relevance with respect to the query provided by the user. We have found that this semantic similarity based ranking scheme gives much better results than those by the prevailing methods. © 2013 IEEE.

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