Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

Directed Search-based PSO Algorithm and Its Application to Scheduling Independent Task in Multiprocessor Environment

Abstract: Particle swarm optimization (PSO) algorithm has proved to be a promising meta-heuristic algorithm to solve broad class of optimization problems which requires global search. Many variants of basic PSO have been proposed. To enhance the exploration capacity of basic PSO algorithm, a new technique called as directed phase is introduced in PSO. The proposed new phase is based on directed search optimization (DSO) which has capability of exploration and diversification which can accelerate the particles in the late iterations of PSO algorithm. Further, proposed algorithm along with PSO and DSO is implemented to solve task scheduling problem on homogeneous multiprocessor system and the results obtained are compared. Experimental results demonstrate that proposed work performs better and has the ability to be an adequate alternative to solve the optimization problem.

Genetic optimized data deduplication for distributed big data storage systems

Abstract: Content-Defined Chunking (CDC) detect maximum redundancy in data deduplication systems in the past years. In this research work, we focus on optimizing the deduplication system by adjusting the pertinent factors in content defined chunking (CDC) to identify as the key ingredients by declaring chunk cut-points and efficient fingerprint lookup using bucket based index partitioning. For efficient chunking, we propose Genetic Evolution (GE) algorithm based approach which is optimized Two Thresholds Two Divisors (TTTD-P) CDC algorithm where we significantly reduce the number of computing operations by using single dynamic optimal parameter divisor D with optimal threshold value exploiting the multi-operations nature of TTTD. To reduce the chunk-size variance, TTTD algorithm introduces an additional backup divisor D' that has a higher probability of finding cut-points. However, adding an additional divisor decreases the chunking throughput, meaning that TTTD algorithm aggravates Rabin's CDC performance bottleneck. To this end, Asymmetric Extremum (AE) significantly improves chunking throughput while providing comparable deduplication efficiency by using the local extreme value in a variable-sized asymmetric window to overcome the Rabin, MAXP and TTTD boundaries-shift problem. FAST CDC in the year 2016 is about 10 times faster than unimodal Rabin CDC and about 3 times faster than Gear and Asymmetric Extremum (AE) CDC, while achieving nearby the same deduplication ratio (DR). Therefore, we propose GE based TTTD-P optimized chunking to maximize chunking throughput with increased DR; and bucket indexing approach reduces hash values judgement time to identify and declare redundant chunk about 16 times than unimodal baseline Rabin CDC, 5 times than AE CDC, 1.6 times than FAST CDC. Our experimental results comparative analysis reveals that TTTD-P using fast BUZ rolling hash function with bucket indexing on Hadoop Distributed File System (HDFS) provide a comparatively maximum redundancy detection with higher throughput, higher deduplication ratio, lesser computation time and very low hash values comparison time as being best data deduplication for distributed big data storage systems.

A Survey on the Status of Cellular Manufacturing System Implementation in Indian Manufacturing Industries

Abstract: Increasing of worldwide competition and changing customer needs force producers to enhance their manufacturing activities in terms of effectiveness, flexibility and productivity with minimal incremental expenditure of time and capital. Cellular manufacturing (CM), which applies the principles of group technology to production, has been acknowledged as a promising alternative to traditional manufacturing technologies, such as job shops and flow lines, in meeting the demands of competitive industries that presently prevail worldwide. A large number of articles on the design issues of the CM system have been published. Unfortunately, the comprehensive CM study has not been implemented very well in developing nations such as India. This article provides the outcomes of a study in Indian manufacturing sectors to find out the status of CM implementation.

Event triggered control of two time scale system

Abstract: This paper describes the framework for event triggered control of a plant possessing two time scales. The periodic sampling requirement is relaxed and states are sampled based on a triggering rule. The dynamic trigger function where event triggering threshold varies with time has been used. Triggering function parameters are different for slow and fast states and events are detected independently in the two subsystems. This also allows the sensors for slow and fast states to be geographically distributed in the network. Further singular perturbation technique is used to decouple the system into fast and slow subsystems and stability of the overall system is investigated. It is proved that the closed loop system asymptotically converges to an adjustable region around the equilibrium point and a minimum bound on inter-execution time is also guaranteed. Asymptotic stability may also be obtained if the parameters of trigger function are adequately selected. Simulation results manifest the efficacy of the proposed approach and verify the theoretical analysis.