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Warangal, India

Kumar M.V.S.,KITS | Janardhana R.,Jawaharlal Nehru Technological University Kakinada | Rao C.S.P.,National Institute of Technology Warangal
International Journal of Advanced Manufacturing Technology | Year: 2011

Scheduling of flexible manufacturing systems is a well-known NP-hard problem which is very complex, due to additional considerations like material handling, alternative routing, and alternative machines. Improvement in the performance of a flexible manufacturing system can be expected by efficient utilization of its resources, by proper integration and synchronization of their scheduling. Differential evolution is a powerful tool which proved itself as a better alternative for solving optimization problems like scheduling. In this paper, the authors addressed simultaneous scheduling of both machines and material handling system with alternative machines for the makespan minimization objective. The authors proposed a machine selection heuristic and a vehicle assignment heuristic which are incorporated in the differential evolution approach to assign the tasks, to appropriate machine and vehicle, and to minimize cycle time. Source


Ashtankar P.S.,KITS
IEEE International Conference on Computer Communication and Control, IC4 2015 | Year: 2015

An ultra-wide band (UWB) monopole antenna with a band-notch characteristic is presented which needs only two parameters to tune the notch frequency. The proposed monopole antenna is embedded with loading strip, whose length is determined by parametric study. By adjusting the loading strip length and width, the notched frequency bandwidth the antenna's operating bandwidth can be easily controlled. The time-domain behaviors are discussed. The antenna is suitable for operating frequency of 7.5 GHz. It is shown that return loss of the antenna at 7.5 GHz is better than -10 dB. The VSWR obtained is less than 2. Details of the proposed antenna design and measured results are discussed. © 2015 IEEE. Source


Lande S.B.,KITS | Shende S.P.,DBACER | Pathak S.S.,Indian Institute of Technology Kharagpur
Proceedings - International Conference on Electronic Systems, Signal Processing, and Computing Technologies, ICESC 2014 | Year: 2014

Performance optimization of communication networks with quality of services (QOS) considerations for all active users is highly desirable. The growth of wireless multimedia applications requires high-speed and reliable communication over wireless channels of system. Throughput and fairness are important conflicting performance parameter in resource allocation for non-cooperative and cooperative OFDMA system for downlink transmission. Maximize the system throughput creates problem of unfairness among all user and while maintaining fairness, system throughput will degrade accordingly. In this paper, we proposed algorithm to provide a balanced approach to maintain throughput and fairness in the system and we designed the resources allocation algorithm for cooperative OFDMA system for downlink transmission, that algorithm maintain the fairness among the all user without affecting the throughput of the system. Our proposed subcarrier allocation fills the gap between the fairness-oriented and throughput-oriented algorithms and provides a balanced solution for subcarrier allocation in the system. © 2014 IEEE. Source


Vodithala S.,KITS | Pabboju S.,CBIT
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS | Year: 2015

Software reuse is one of the major research area in component based software engineering (CBSE). It is an area which integrates all the other technical areas like data mining, soft computing, artificial intelligence etc. The major areas which are to be focused in software reuse are classification, clustering, searching, indexing and retrieval of software components. There are many techniques described in literature each with their advantages and limitations. In this paper, we propose a dynamic approach where the components are retrieved by using genetic algorithm. The proposed algorithm mainly focuses on the termination condition or stopping criteria of Genetic Algorithm, which changes dynamically based on the user query. Genetic Algorithm (GA) stops the evolution i.e., reaches convergence when the average fitness value of the population becomes equal to the fitness value of the user query. © 2015 IEEE. Source


Mallaiah G.,KITS | Kumar A.,National Institute of Technology Warangal | Ravinder Reddy P.,CBIT | Madhusudhan Reddy G.,Indian Defence Research And Development Laboratory
Materials and Design | Year: 2012

The effect of grain refining elements such as copper, titanium and aluminum on transverse tensile strength, ductility, impact toughness, microhardness and austenite content of AISI 430 ferritic stainless steel welds through Gas Tungsten Arc Welding (GTAW) process in as-welded condition was studied. Taguchi method was used to optimize the weight percentage of copper, titanium and aluminum for maximizing the mechanical properties and austenite content in the weld region of ferritic stainless steel welds. Based on Taguchi orthogonal array the regression equations were developed for predicting the mechanical properties of ferritic stainless steel welds within the range of grain refining elements. The observed mechanical properties and austenite content have been correlated with microstructure and fracture features. © 2011 Elsevier Ltd. Source

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