Informatics Publishing Limited

K. Kandasamy ¹, C. Suresh Kumar ²

Affiliations
1 Bharathiyar University, Coimbatore, Tamil Nadu, IN
2 J.K.K. Nattraja College of Engineering and Technology, Kumarapalayam Tamil Nadu, IN

Abstract

Objective: To find the optimal time interval for predicting mobile user behavior in the location-based services. Methods: An innovative technique called Modified Particle Swarm Optimization based Optimal Time Interval Identification is introduced for predicting Mobile User Behavior (MPSO-OTI2-PMB)-in Location-Based Services. The MPSO algorithm intends to find the optimal time interval in the prediction of mobile user behavior for the location-based services. This MPSO algorithm aims to search the best time interval with less computation complexity. Contrast to the PSO algorithm, the MPSO algorithm decreases the search range during the optimization process. Results: MPSO-OTI2-PMB shows higher rate when compared to the existing Cluster-based Temporal Mobile Sequential Pattern Mine (CTMSP-Mine) method. In the MPSO algorithm, randomly generate the initial population with the search space and find the fitness value. Instead of fixed search range, the search range is decreased based on the fitness value during the optimization process. If the network size is 6, the precision rate in MPSO-OTI2-PMB is 0.92, the recall in MFAMGS is 0.9 and the F-Measure is 0.89. According to the comparison and the results from the experiment shows that the proposed method has high efficiency in terms of precision, recall and F-Measure. Conclusion: MPSO-OTI2-PMB is presented and this method has high efficiency for predicting mobile user behavior in the location-based services.

Keywords

Data Mining, Mobile Environments, Mining Methods and Algorithms, Particle Swarm Optimization.

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K. Kandasamy ¹, M. Rajaram ²

Affiliations
1 Department of Electronic and Communication Engineering, University College of Engineering, Villupuram-103, IN
2 Anna University, Chennai-25, IN

Abstract

This dissertation discusses about the application of a SEPIC DC-DC converter for a permanent magnet brushless DC motor (PMBLDCM) drive, run by single phase AC mains as single stage power factor correction fed through double bridge rectifier. A three phase voltage source inverter is used as an electronic commutator to operate the permanent magnet brushless DC motor. The advantage of these motors is the removal of brushes, leading to eliminate many problems associated with brushes. The scope of this project is in the use of PMBLDC motor as a drive for the compressor of air-conditioners, fans etc. The switch control separates the two procedures, adjustment of SEPIC converter, and regulation of speed can respond immediately during transient commutation and robustness can be improved and thereby the performance. The proposed permanent magnet brushless DC motor drive is designed and modeled, and its performance is evaluated in MATLAB-SIMULINK.

Keywords

SEPI Converter, Powerfactor PF Correction (PF), Permanent-Magnet (PM) Brushlessdcmotor (PMBLDCM), Voltage Control, Voltage-Source Inverter (VSI).

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