Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.

A novel privacy preserving decision tree induction

Abstract: Data mining algorithms extract knowledge from very large data. In most cases the large data has to be shared among multiple users where security plays a vital role. This paper deals with an efficient privacy preserving decision tree construction by reducing communication and computation cost while performing secure cardinality of scalar product during tree induction. The algorithm scales well with more number of parties.

An effective genetic algorithm for flow shop scheduling problems to minimize makespan

Abstract: In this paper, the flowshop scheduling problem with the objective of minimizing the makespan has important applications in an exceedingly type of industrial systems. The main concern of flow shop scheduling is to get the most effective sequence, that minimizes the makespan, time of flow, time of idle, delay, etc. the objective of minimizing makespan is planned for finding the flowshop scheduling problem with Effective Genetic algorithm (EGA). EGA could be an easy and efficient algorithm that is employed to resolve for each single and multi-objective problem in flow shop environment. This algorithm can works simply for our real life applications. The planned algorithm is tested with well-known problems in literature. EGA’s resolution performance has been compared with the present results reported by researchers. The obtained results show that the planned EGA performs higher than NPFS-ACO algorithms in finding the flowshop scheduling problem with the makespan criterion as average percentage improvement of 1.42%. This improvement ends up in two completely different meta-heuristic algorithms for finding flow shop planning problems specifically real coded Genetic algorithm (RCGA) and EGA. However EGA is performed well once comparing with RCGA. DOI: http://dx.doi.org/10.5755/j01.mech.23.4.15053

Online control of remote operated agricultural Robot using fuzzy controller and virtual instrumentation

Abstract: This paper details the design of a micro-controller based fuzzy logic controller for an agricultural Robot which can be used for ploughing, seeding and soil moisture sensing. The robots used in agriculture can reduce manpower and can be operated using remote controls from a distant place. In this work, an agricultural robot is designed with an internet based remote control using LABVIEW and its position and speed control are discussed.