G. Ramprabu ¹, S. Nagarajan ²

Affiliations
1 Hindustan University, Chennai, IN
2 Department of Information Technology, Hindustan University, Chennai, IN

Abstract

Wireless Multimedia Sensor Networks (WMSNs) are swell systems of wirelessly networked systems that consent reclaiming moving images, still images, scalar sensor information and audio information. It is an essential factor of grave networks to safeguard the function of tactical national transportation, afford maintain to work against emergencies and coercion and improve transportation for tactical armed functions. It needs the sensor network customary to be re-consideration in sight of necessitate for technique to fetch multimedia data with a pre-described stage of Quality of Service (QoS) to permit these functions. By believing MIMO modulator, Architecture of the Modified Cross-Layer Controller is proposed. Then using this concept, Signal-to-Noise Ratio (SNR), Bit Error Rate (BER), Symbol Error Rate (SER) and Average Mean Square Error (AMSE) are measured with using MATLAB program and the same is compared with other signal processing approaches named Least Square method and Minimum Mean Square Error method. The same concept is used to reduce area, power and to increase speed of the system with the help of VHDL program. Simulation results show that the proposed Modified Cross-Layer Controller can successfully improve the data gathering performance in wireless multimedia sensor networks. In this research, life cycle improvement of the system is proposed. The goal of our proposed work is to vigorously review the routing method outflow and the constraint of the multimedia function to make sure an adequate quality of service. Simulation results show that our solution is efficient and gives better performance than other methods.

Keywords

Life Cycle Improvement and Performance Estimation, MIMO Modulator, Modified Cross-Layer Controller, Quality of Service.

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M. Suganya ¹, S. Nagarajan ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

The Communication between objects in the cluster takes place through message passing techniques. Affinity Propagation (AP) clustering has been used successfully in a lot of clustering problems, which deals with static data. By applying Fuzzy DENCLUE, similarity between objects and its exemplar is improved. A dynamic variant of AP clustering called Incremental Affinity Propagation with K-Medoid (IAPKM) is used along with the Fuzzy Density based clustering (DENCLUE) method. In Fuzzy DENCLUE, number of clusters is reduced and randomness in the form of noise is removed. The experiment is performed in Net Beans 8.0.2 using jdk1.7 as a language. The evaluation result defines that the effectiveness and efficiency of IAPKM and Fuzzy DENCLUE can achieve comparable performance. Compared with IAPKM and Fuzzy DENCLUE, Sum of similarity and accuracy is increased in Fuzzy DENCLUE which is based on the parameters. The current approach achieves higher accuracy rate which is 10% greater than the former approach.

Keywords

Exemplar, Fuzzy DENCLUE, Incremental Affinity Propagation based on K-Medoid, Message Passing, Sum of Similarities

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D. Rajasekar ¹, S. K. Sandhya ¹, S. Nagarajan ¹, C. Dhanamani ¹

Affiliations
1 Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641042, Tamil Nadu, IN

Abstract

Objective: The main objective of this research is to generate and provide an optimized itinerary planning for the users with flight and hotel booking as per the user requirement to reach their satisfaction level. Methods: In this research, a novel fuzzy c means clustering is introduced for grouping and generating an optimal itinerary planning for the group of users. This work intends to satisfy the needs of all the users who are requesting for the itinerary plans with the satisfaction of their QoS requirement. To achieve this goal, the point of interest (POI) graphs will be constructed with the help of mapRedcue application which will simplify the processing of large amount of data’s. FCM algorithm is proved to be better clustering algorithm which considers the membership values among the various data points. So that the same data points can be clustered in the different cluster to which its membership value belongs. In our work we make sue use of this algorithm to cluster the users with the similar requirements. So that the same user request may clustered in different groups. Among that the optimized cluster of users with unique requirements can be selected for the itinerary planning construction. Results: FCM clustering used in the proposed approach for effective construction of the itinerary planning with the consideration of the users with similar requirement whereas in the existing work user similarity requirements are not considered. The experimental tests conducted were proves that the proposed methodology provides the optimized itinerary with the less time complexity and burden than the existing methodology. This performance analysis is done with the two performance metrics namely processing time and the weight ratio from which it can be proved that the proposed methodology provides better result. Conclusion: The findings demonstrate that the itinerary planning construction using FCM is presented and this method has high clustering accuracy than the previous methodologies.

Keywords

Fuzzy C-means Clustering, Itinerary Plan, MapReduce, Point of Interest

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S. Nagarajan ¹, N. Rajendran ²

Affiliations
1 Department of Electrical and Electronics Engineering, Jerusalem College of Engineering, Pallikaranai, Chennai – 600100, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Bharath University, Chennai–600073, Tamil Nadu, IN

Abstract

This paper investigates the performance of Trans Z- source inverter (abbreviated as T ZSI) fed induction motor drive under various fault conditions. With development in power electronics and remarkable improvement in control techniques, induction motor has evolved as a variable speed machine. For critical applications, continuous operation of the drive is of paramount importance. However, their performance is restricted by electrical and mechanical faults. When any fault occurs, the phase and line voltages of the inverters get decreased. This leads to reduction of torque and speed of the motor and hence the operation of induction motor is interrupted. This states the importance for fault diagnosis of T Z-Source inverter fed induction motor to analyse the performance of the drive under faulty conditions. The performance of the induction motor under various faults is verified by MATLAB simulation of a 5 Hp induction motor fed by a high performance ZSI and the simulation results are presented. A comparative evaluation of Z-source and T Z-source topologies is done for the same load torque conditions.

Keywords

AC Motor Drives, Fault Diagnosis, T Z-source, Z-source Inverter

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