Informatics Publishing Limited

R. Indhumathi ¹, S. Sathiyabama ²

Affiliations
1 Bharathiar University, Coimbatore. Tamilnadu, IN
2 MCA Department, with the K.S. Rangasamy College of Technology, Tiruchengode, Tamil Nadu, IN

Abstract

High dimensional data is phenomenon in real-world data mining applications. Developing effective clustering methods for high dimensional dataset is a challenging problem due to the curse of dimensionality. Usually k-means clustering algorithm is used but it results in time consuming, computationally expensive and the quality of the resulting clusters depends on the selection of initial centroid and the dimension of the data. The accuracy of the resultant value perhaps not up to the level of expectation when the dimension of the dataset is high because we cannot say that the dataset chosen are free from noisy and flawless. Hence to improve the efficiency and accuracy of mining task on high dimensional data, the data must be pre-processed by an efficient dimensionality reduction method. This paper proposes a method in which the high dimensional data is reduced through Principal Component Analysis and then bisecting k-means clustering is performed on the reduced data where there is no initialization of the centroids.

Keywords

Bisecting K-Means, Dimensionality Reduction, K-Means, Principal Component Analysis, Principal Components.

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R. Indhumathi ¹, K. S. Murugesan ¹

Affiliations
1 Velalar College of Engineering and Technology, IN

Abstract

Vehicle Position Tracking can be implemented using Global Positioning System (GPS) and transmitting information about the vehicle's position using Global System for Mobile Communication (GSM). The GPS system installed in the vehicle is to track the position and GSM modem for providing communication between vehicle and users. The Vehicle unit tracks the position of a vehicle using GPS and send this information to the users. It also contains LCD display to receive messages from various users. The receiver module receives information about bus location from bus coming towards a particular bus stop. This proposed design offers low cost, less complex and reliable system. Thus an efficient system is developed for vehicle tracking. Some applications of position tracking systems are mobile robots, land surveying and location based services.

Keywords

GPS, GSM, Tracking, Vehicle, Receiver, SIM, SMS.

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K. P. Indira ¹, R. Rani Hemamalini ², R. Indhumathi ³

Affiliations
1 Sathyabama University, Chennai - 600 119, Tamil Nadu, IN
2 St. Peter’s College of Engineering, Chennai - 600 054, Tamil Nadu, IN
3 St. Joseph’s College of Technology, Chennai – 600119, Tamil Nadu, IN

Abstract

Background: Process of combining significant information from 2 or more images to get an output without any artifact or information loss. Also to perceive all information required for accurate diagnosis and to get high spatial resolution with functional and anatomical information. Methods: DWT and SWT are used with biorthogonal 2.6 and db1. Average fusion rule is applied for fusing low frequency coefficients and for high frequency coefficients region energy rule is applied. Results: Eight sets of real time medical images are used for the analysis. Comparing the fusion of SWT with DWT, Stationary wavelet transform method performs well than the Discrete wavelet transform as the information loss occurs due to down sampling in each of the DWT sub bands which caused in the relevant sub bands are minimized by SWT. Application: Easy to diagnose for a physician in the field of biomedical.

Keywords

Discrete Wavelet Transform, Performance Measures, Stationary Wavelet Transform

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