Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Cluster analysis & Control theory. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Integrated application of TRIZ with lean in the manufacturing process in a machine shop for the productivity improvement

Abstract: The reduction of waste is essential in the present scenario and to survive in the competitive market, the appropriate concept has been taken as lean. A hybrid or synergistic approach will be appreciable for which TRIZ (theory to resolve inventive problems), a Russian concept, has been utilised for arrival at the solution to improve the productivity. In general, the result obtained by the application of synergistic concepts will give more beneficiary than that of the individual concepts. To apply the concept TRIZ with lean, case studies have been taken in a machine shop and the paper has been concentrated in the processes involved. Lean has been applied to find and narrow down the problems and TRIZ has been applied to solve the contradictions and better results were obtained.

Performance analysis of non-integer order PID controller for liquid level control of conical tank system

Abstract: The design of a controller for the conical tank system is a challenging problem, because of its non-linearity behavior. The Proportional-Integral-Derivative controllers have played a vital role in many process oriented industrial applications, for past few decades. This paper deals with design of Non-Integer order Proportional Integral Derivative or Fractional Order Proportional Integral Derivative (FOPID) controller for a level control process of single conical tank system. FOPID provides more flexibility in designing a controller than using standard Proportional Integral Derivative (PID) controllers, due to selection of five parameters instead of three. Though the tuning of FOPID is complex, it can guarantee the desired control performance and the robustness to the loop gain deviations. The comparison of various tuning methods using PID controller is simulated. FOPID controller has been designed for the same conical tank system and the performances of both the PID and FOPID controllers have been simulated and compared.

Multi-Ontology Based Points of Interests (MO-POIS) and Parallel Fuzzy Clustering (PFC) Algorithm for Travel Sequence Recommendation with Mobile Communication on Big Social Media

Abstract: Leveraging community-contributed information such as blogs, Global Positioning System, and images that are geographically tagged for suggestions on navigation with mobile based communication is becoming a research area. The travel recommender a system is based on Points Of Interests (POIs) of user’s emerge in many studies and enterprise applications. Most of the preceeding travel recommendation methodologies are capable of recommending a personalized travel by considering the POIs. The major objective of this paper is to design a new Multi-Ontology based Points of Interest (MO-POIs) travel recommendation system which considers the POIs of the user along with the individual semantic information. Initially stage, the personalized MO-POIs sequence is recommended, and the routes are ranked based on the individual depending on the package he uses. Both the user and route package similarities are evaluated using parallel fuzzy clustering algorithm in this research work. Map Reduce is used as a parallel computation model in this research which performs computation with the help of a couple of functions that are termed as map and reduce. The social users travel records are used to optimize the top ranked routes. Finally, the new MO-POIs recommendation system evaluation is finished with a billion of Flicker images, uploaded by thousands of users and also more than 24,000 travelogues that cover the estimated 850 and above travel POIs in nine renowned cities, and illustrates its efficiency. The results are measured using the performance metrics like average precision and weighted average precision. The evaluation concludes that the proposed algorithm is capable of performing well in recent works that uses travel logs.

Using Response Surface Methodology in Synthesis of Ultrafine Copper Nanoparticles by Electrolysis

Abstract: Electrolysis is a method used for producing copper (Cu) nanoparticles at faster rate and at low cost in ambient conditions. The property of Cu nanoparticles prepared by electrolysis depends on their process parameters. The influence of selected process parameters such as copper sulfate (CuSo4) concentration, electrode gap and electrode potential difference on particle size was investigated. To optimize these parameters response surface methodology (RSM) was used. Cu nanoparticles prepared by electrolysis were characterized by using X-ray diffraction (XRD) and scanning electron microscope (SEM). After reviewing the results of analysis of variance (ANOVA), mathematical equation was created and optimized parameters for producing Cu nanoparticles were determined. The results confirm that the average size of Cu particle at the optimum condition was found to be 17nm and they are hexagonal in shape.

Local controllability of functional integrodifferential equations in Banach space

Abstract: In this paper, we establish a set of sufficient conditions for the local controllability of functional integrodifferential equations in Banach space The results are obtained by using the methods of analytic semigroups, fractional powers of operators, and a fixed-point argument These results generalize previous results on bounded linear operators to unbounded linear operators in which the equation involves a nonlinear delay term An application to a partial integrodifferential equation is given