Probabilistic Neural Network Based Identification of External faults Experienced by 3-Phase Induction Motors
A.P. Mittal, Hasmat Malik, Vihan Talur and Saarang Rastogi
Abstract
Fault diagnosis and condition assessment (FDCA) of rotating machines is critical due to the pivotal role that these machines play in our industries. Proper FDCA not only augments the machine’s operative lifecycle, it also improves its efficiency, thus reducing chances of cataclysmic failure. This paper defines a realistic FDCA method for 3-phase induction motors using an open source dataset. External faults experienced by IM are monitored by the probabilistic neural network (PNN) whose performance characteristics are then compared with those of Multi-Layer Perceptron (MLP) revealing that the PNN algorithm is much quicker, thereby resulting in lessening of the workload experienced by a computer substantially. RMS value of 3-phase voltages and currents are utilized as input variable for model formation to identify the 6 types of external faults experienced by IMs’ and normal operating (NF) condition. The developed system is then put to the test utilizing a sample set of 160 readings to highlight the efficiency and accuracy of the system for multiple fault scenarios.
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A Review: Color Feature Extraction Methods for Content Based Image Retrieval
Divya Srivastava, Rajesh Wadhvani and Manasi Gyanchandani
Abstract
For more than a decade Content Based Image Retrieval is topic of interest for researcher. The three primitive visual features, namely, color, texture and shape refers to the term ‘content’ in content based image retrieval. Although visual features cannot be completely determined by semantic features, but still semantic features are used because they are easier to integrate into mathematical formulations. Therefore good visual feature extraction is one of the important task for representing image compactly. Among the visual features, colors is the most vital, reliable and widely used feature. This paper reviews various methods, namely Global Color Histogram, Histogram Intersection, Image Bitmap, Local Color Histogram, Color Correlogram, etc., employed to extract the color feature. This paper briefly elaborates these different methods of color feature extraction and then presents a comparative study for selection of these methods in various applications.
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Enhanced Compression Code for SOC Test Data Volume Reduction
Shruti Chadha and Harpreet Vohra
Abstract
Test data reduction is an important issue for the system-on-a-chip designs. A number of coding techniques have been developed in the past to compress the test data to achieve the best compression. In this paper we have merged two run length based codes i.e. Golomb code and AVR code to develop a new code called integrated compression code (ICC). The enhanced compression code (ECC) compresses the data achieved after compression form ICC by 9C coding technique to enhance the compression ratio further. We have also compared the proposed compression technique with previously developed compression codes. We have applied column bit stuffing, column bit stuffing with difference vector and ZERO filling for unspecified bits of the test set to reduce the average and peak power. These were calculated using WTM. Four ISCAS’89 benchmark test sets have been used to prove the effectiveness of the proposed ECC.
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Test Optimization of 2D SOC using Enhanced ACO Algorithm
Naveen Dewan and Harpreet Vohra
Abstract
With advancement in technology it is possible to design complex chips. To reduce the complexity of a chip, embedded cores based system-on-chip are being advocated. These complex chips require high test data volume which further increases the test application time. The cost of testing is dependent on total test application time. To reduce test application time, testing of cores should be done concurrently. This paper first proposes test solution using Ant Colony Optimization algorithm and then compares its performance using test time. Fork and merge technique is used for TAM sharing. Test time and TAM width of cores is selected using wrapper design algorithm. Experimental results on ITC’02 benchmark circuits for different widths of Test access mechanism (TAM) wires proves the effectiveness of one algorithm over the other.
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Exploring the Determinants of India’s Intra-Industry Trade: A Panel VAR/VECM Approach
Amit Srivastava
Abstract
Intra-Industry Trade (IIT) is a simultaneous import and export of similar goods and services by a country. This type of trade pattern has become an integral part of not only India’s trade but also for World. Since comparative advantage is not mandatory and adjustment costs are also lower, therefore, this type of trade is supposed to be better than the conventional trade pattern. A country has to identify its key determinants which may promote the IIT, to be a successful player in the long run. The present study is an attempt to identify the key determinants of India’s IIT with different country groups. The paper employed panel VAR/VECM model to find out the cause and effect relationships between the determinants and IIT. The data ranges from the year 1991 to 2013 and the findings reveal that indicators of economic distance like per-capita GDP difference and capital-labor ratio are not found to significant for causing IIT, however, the indicator for absolute values of economic size like per-capita GDP and capital-labor ratio are found to be the factors which are causing IIT. Therefore, India needs to pay more attention on its trade policies to get maximum benefits from IIT.
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Influence of Political and Cultural Factors on Education in Kenya: Approaches to Build Competencies
Kellen Kiambati, Julius Itunga
Abstract
Education has received considerable attention worldwide; however, its low success rate in Kenya both in terms of quality and quantity warrants further investigation. The purpose of this study is to examine the impact of political and cultural factors on education. The political factor constitutes government resource support, internet and policy on quality of teachers whereas the cultural factor focuses on early marriages, polygamy and female genital mutilations. Drawing on the theory of source-position-performance, source of education should be promoted through various approaches. In the paper we propose a couple of approaches to build capability.
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