College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Sliding mode control & Control theory. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

To improve association rule mining using new technique: Multilevel relationship algorithm towards cooperative learning

Abstract: Mining the Data is also known as Discovery of Knowledge in Databases. It is to get correlations, trends, patterns, anomalies from the databases which can help to build exact future decisions. No one can assure that the decision will lead to good quality results. It only helps experts to understand the data and show the way to good decisions. An objective is to make rules from given multiple sources of customer database transaction. It needs increasingly deepening knowledge mining process for finding refined knowledge from data. Earlier work is on mining association rules at one level. Though mining association rules at various levels is necessary. Finding of interesting association relationship among large amount of data will helpful to decision building, marketing, & business managing. For generating frequent item set we are using Apriori Algorithm in multiple levels so called Multilevel Relationship algorithm (MRA). MRA works in first two stages. In third stage of MRA uses Bayesian probability to find out the dependency & relationship among different shops, pattern of sales & generates the rule for learning. This paper gives detail idea about concepts of association mining, mathematical model development for Multilevel Relationship Algorithm (MRA) and Implementation & Result Analysis of MRA and performance comparison of MRA and Apriori algorithm.

Semi-Active Fluid Viscous Dampers for Seismic Mitigation of RC Elevated Liquid Storage Tanks

Abstract: The effectiveness of the semi-active control strategies using fluid viscous dampers (SAFVDs) for seismic mitigation of reinforced concrete (RC) elevated liquid storage tanks is investigated. Three ...

Improvement of Crashworthiness in Ultra Lightweight Metallic Foam by Heat-Treatment for Microstructural Modification of Base Material

Abstract: It is very important to understand the strain rate dependence of the plateau stress or the impact energy for the applications to a suitable design of automotive components. Limited data are, however, available for the mechanical response of metallic foams under dynamic loading in comparison with polymer foams. In this study, the mechanical response and absorbed energy of an open-celled SG91A aluminum foam with the low relative density of 0.03-0.065 is evaluated at a dynamic strain rate in ∼ 10 3 s -1 order in compression by the split Hopkinson pressure bar apparatus. In order to investigate the effect of microstructure in the solid material, solution treatment and aging are performed and then examined at the same dynamic strain rate. As a result, mechanical strength and absorption energy for as-received and heat treated SG91A aluminum foams showed the strain rate dependence. This dependency was clearly decreased by the heat treatment. This mechanical response directly affects the energy absorption: the strain rate dependence of absorption energy is weakened with enhancing the ductility in solid materials by the heat treatment. Therefore, it is possible to control the absorption energy of the metallic foam by the modification of its microstructure, which affects the ductility in the solid material.

The Role of Transforms in Image Compression

Abstract: In today's multimedia wireless communication, major issue is bandwidth needed to satisfy real time transmission of image data. Compression is one of the good solutions to address this issue. Transform based compres- sion algorithms are widely used in the field of compression, because of their de-correlation and other properties, useful in compression. In this paper, comparative study of com- pression methods is done based on their types. This paper addresses the issue of importance of transform in image compression and selecting particular transform for image compression. A comparative study of performance of a variety of different image transforms is done base on compression ratio, entropy and time factor.

Texture-Based Medical Image Compression

Abstract: Image processing is one of the most researched areas these days due to the flooding of the internet with an overload of images. The noble medicine industry is not left untouched. It has also suffered with an excess of patient record storage and maintenance. With the advent of automation of the industries in the world, the medicine industry has sought to change and provide a more portable feel to it, leading to the fields of telemedicine and such. Our algorithm comes in handy in such scenarios where large amount of data needs to be transmitted over the network for perusal by another consultant. We aim for a visual quality approach in our algorithm rather than pixel-wise fidelity. We utilize parameters of edges and textures as the basic parameters in our compression algorithm.