Icaciem2017101 by ASDF Administartor

International Conference on Advances & Challenges in Interdisciplinary Engineering and Management

International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017]

ISBN Website Received Article ID

978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM101

VOL eMail Accepted eAID

01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.101

FR-Efficient Compression of PUM Data in WAMS 1,2,3,4,5

S Jayaprakash1, D Manikandan2, S Mathan3, S Parthipan4, C Vijayakumar5, S Roshini6 III Year Students, 6Assistant Professor, Dept. of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India

Abstract: Widespread placement and high data sampling rate of current generation of phase measurement units (PMUs) in wide area monitoring systems result in huge amount of data to be analysed and stored, making efficient storage of such data a priority. This paper presents a generalized compression technique that utilizes the inherent correlation within PMU data by exploiting both spatial and temporal redundancies. A two stage compression algorithm is proposed using principal component analysis in the first stage and discrete cosine transform in the second. Since compression parameters need to be adjusted to compress critical disturbance information with high fidelity, an automated but simple statistical change detection technique is proposed to identify disturbance data. Extensive verifications are performed using field data, as well as simulated data to establish generality and superior performance of the method. In our project we consider an ecosystem, Ecology plays an important role in agriculture crop rotation, weed control, management of grasslands, range management forestry, biological surveys, pest control, fishery biology, and in the conservation of soil, wildlife, forest, water supplies, water bodies like rivers, lakes and ponds, Collecting related features of living things in the ecosystem and creates a database. And applying the data extraction based on the conditions. Afterward, we propose a compression algorithm, called 2P2D, which exploits the obtained group movement patterns to reduce the amount of delivered data.

ISBN Website Received Article ID

978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM102

VOL eMail Accepted eAID

01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.102

Cluster Analysis of Organizational Website using FkMedoids 1

C Gomathi1 Professor, Department of MCA, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India

Abstract: Web Usage Mining (WUM) can be used to determine if the information architecture of a web site is structured correctly. Most of the existing WUM tools are not used to effective website visualization of the results obtained. Clustering techniques are used as the basis of many existing approaches for developing website visualization. A new clustering technique is introduced and used as the basic technique for visualization in order to evaluate the information architecture of an organization website. The performance of the proposed systems is evaluated using real data. Here, a new efficient clustering technique Fuzzy K-Medoids (FK-Medoids) has been proposed. The proposed algorithm uses Kongu Arts and Science College (KASC) and KSR College of Engineering (KSRCE) web log files for clustering after pre-processing. The results of the experiments show the efficiency of the improved algorithm and suggest that dimension of learning styles i.e. preferences to learning material, can be modelled using suitable attributes and can be detected using data mining techniques. This paper is prepared exclusively for International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr K Samidurai and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.