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Bhopal, India

Arya L.D.,S.G.S.I.T.S. | Choube S.C.,UIT | Arya R.,Acropolis Technical Campus | Tiwary A.,S.G.S.I.T.S.
International Journal of Electrical Power and Energy Systems | Year: 2012

This paper describes a methodology for reliability assessment of electrical distribution system accounting random repair time omission for each section. A distributor segment in a distribution system has failure rate and repair time which decide mean up time (MUT) and mean down time (MDT) at load points. Usually the reliability analysis is based on exponential failure and repair laws. The repair time is a random variable. Certain values of repair times are smaller which may be neglected based on the tolerance time of consumers at each load point. Complete reliability analysis with repair time omission has been presented. Modified mean up time, mean down time and unavailability (h/year) have been obtained at each load point using state transition sampling technique. These have been obtained accounting outage due to random repair time omission. The methodology has been implemented on two distribution systems. © 2012 Elsevier Ltd. All rights reserved. Source

Gupta N.,Truba Institute of Engineering and Information Technology | Gupta R.,UIT
International Journal of Computers, Communications and Control | Year: 2014

Nowadays, reduction of energy-consumption in Mobile Ad-Hoc Networks (MANETs) has been a herculean task. Appropriate location-based routing protocols like Location-Aided Routing-1 (LAR-1) can be incorporated for reducing the energy consumption as it extends the network lifetime in dynamic network. The research work proposed integrating energy-conservation along with LAR-1 route-discovery mechanism, named as New-Location-Aided Routing-1 (N-LAR-1). In this paper, developments of performance-metrics using this N-LAR-1 approach have been reported. Affirmative results have been achieved through N-LAR-1 by utilizing the sleep or inactive mode condition of mobile nodes in Ad-Hoc Networks. It has been observed that performance of N-LAR-1 is better than N-DSR approach. © 2006-2014 by CCC Publications. Source

Jeevakhan H.,UIT | Mishra G.,Devi Ahilya University
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | Year: 2011

The dynamics of complex spectral properties of two frequency harmonic undulator radiations along on and off axis has been analytically investigated using the techniques of generalized Bessel functions. The relativistic electron beams with non negligible energy spread results in degradation in brightness and gain. The effect of energy spread on two frequency harmonic undulator (TFHU) radiations and on axis gain has been analyzed. Maximum acceptable r.m.s. value of energy spread has been determined to support the complex spectral pattern of radiation and gain. © 2011 Elsevier B.V. All rights reserved. Source

Nguyen D.,Binh Duong University | Nguyen S.,UIT
Proceedings - 2016 the 2nd International Conference on Control, Automation and Robotics, ICCAR 2016 | Year: 2016

Smart home is one of the most important applications of ubiquitous computing. In this work, we propose an infrastructure of Vietnamese Smart homes as well as a training framework for activity recognition and forecast. In this framework, active learning technique is applied and a new mining algorithm is proposed. In addition to activity recognition, a forecast mechanism is also added into the smart home simulation system by using activity sequence as an extra type of in-home contexts. Experiment results show that the system efficiency is improved when compared to the previous work of Enamul Hoque et al. © 2016 IEEE. Source

Titare L.S.,Government Engineering College | Singh P.,VITS | Arya L.D.,S.G.S.I.T.S. | Choube S.C.,UIT
International Journal of Electrical Power and Energy Systems | Year: 2014

This paper presents an efficient and reliable evolutionary-based approach to solve the optimal reactive power dispatch (ORPD) problem. Optimal reactive power dispatch is a mixed integer, nonlinear optimization problem which includes both continuous and discrete control variables. The proposed approach employs Ensemble of Mutation and Crossover Strategies and Parameters in Differential Evolution (EPSDE) algorithm for optimizing a set of reactive power control variables such as generator voltages, tap positions of tap changing transformers and the amount of reactive compensation which maximizes reactive reserve available at generating buses. Voltage dependent reactive power limits have been accounted. Developed algorithm accounts inequality constraints not only in present operating conditions (after reactive power rescheduling) but also for predicted next interval load (with reactive power rescheduling). Proposed methodology has been implemented on IEEE 14-bus and 25-bus test systems. Performance of the methodology has been compared with Selfadaptive Differential Evolution (SaDE), Teaching Learning Based Optimization (TLBO) and Genetic Algorithm (GA) techniques based on statistical inference. © 2014 Elsevier Ltd. All rights reserved. Source

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