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Multilevel inverter topology are becoming extremely important now-a-days due to the rapid growth in the renewable energy sector. Any kind of fault in the inverter directly hampers the normal operation of smart grid. In this context, this paper presents an intelligent technique for switch fault detection in diode clamped inverters for mid power application. It is necessary to detect and locate fault...
Power electronic devices may fail to function normally due to unexpected breakdown of various power electronic component. This fact motivates to find an effective but simple technique for real time diagnosis of component failure in cycloconverter, which is commonly used in industry to vary the speed of an AC motor by means of controlling its frequency. Wavelet decomposition method is employed for...
The paper investigates the discrimination ability of the short-wave near-infrared spectroscopy for the classification of various edible oils used in India. Spectral characterization of mustard, olive, rice bran, sunflower and soybean oils are recorded by a portable near infrared (NIR) spectrometer in the range of 250–925 nm of wavelength. Due to high dimensionality problem, principal component analysis...
Edible oil is dominant part of human diet and available in various forms in the market. On the other hand, quality assurance in food industry is nowadays an important parameter for public concern and awareness. In this context, this paper presents a discrimination methodology of edible oils such as mustard, olive, rice bran, sunflower and soybean oils using a portable non-destructive near infrared...
The advancement of information technology has made public health management system more efficient on keeping an eye on major outbreaks like dengue fever than before. Vigorous prediction of dengue fever not only helps the management to act faster but also helps medical professionals to treat and suggest a good solution to the patients. In this context, this paper aims to develop an intelligent computing...
Health information technology is spreading all over the world to provide right medical advice for healthcare. In this context, this paper describes the application of data mining techniques to identify jaundice by analyzing liver function test reports. Artificial neural network and support vector machine classifiers are employed here for classification on the basis of liver condition. Since correct...
Error minimization using conventional back-propagation algorithm for training feed forward neural network (FNN) suffers from problems like slow convergence and local minima trap. Here in this paper gradient free optimization is used for error minimization to avoid local minima. Hence we introduce a new hybrid algorithm integrating the concepts of physics inspired gravitational search algorithm and...
Training of feed-forward neural network using stochastic optimizationtechniques recently gained a lot of importance invarious pattern recognition and data miningapplications because of its capability of escaping local minima trap. However such techniques may suffer fromslow and poor convergence. This fact inspires us to work onmeta-heuristic optimization technique for training the neural network....
Ensemblelearning of classifier has been a hot topic in pattern recognition problems for the last twenty years. This is because standalone classifier does not improve the performance when the dataset suffers from class imbalance.Ensemble learning is generally based on boosting and bagging techniques. Boostingcombines multiple classifiers of the same type, trained with weighted sample sets. Our aim...
In this paper, a new hybrid population based algorithm (DE-FPA) is proposed with the combination of differential evolution optimization algorithm and flower pollination algorithm. The main idea is to integrate the natural evolution characteristics of the population in differential evolution algorithm with the pollination behavior of flowering plant in flower pollination algorithm to synthesize the...
A large variety of fruit juices are available in the Indian market. These juices differ from one another in terms of quality and added ingredients. Fruit juices from two different commercial brands are compared with their consequent homemade ones using a portable near infrared (NIR) spectrometer in the range of 250–925 nm of wavelength. Juices extracted from apple, grapes, mango, orange, pineapple...
Drift in sensors, mainly in chemical or gas sensors is an unavoidable problem that introduces shift in feature values in the dataset. This makes sample classification and identification process more challenging over time in olfactory machines. The generation of uncertain chemical sensor drift is long term degradation of the sensor properties and no matter what they are made of, how expensive they...
A virtual Instrument is designed, prototyped and developed for the real time measurement and recording of galvanic skin response (GSR), also known as electrodermal response to recognize human psycho physiological state under stressed condition. The virtual instrument also analyzes the galvanic skin response signals by statistical features. The Galvanic Skin Response (GSR) is a measure of skin conductivity...
Non-linear Power Electronic loads draw non-sinusoidal current more significantly. These types of loads affect the power quality of electrical distribution networks due to the flow of these generated harmonics. Here a virtual instrument concept is implemented for the online harmonic analysis of non-linear loads like diode bridge rectifiers, half controlled convertor, full controlled convertor, light...
Real time analysis of power quality is an important consideration to electrical utilities and industrial customers so that diagnosis and mitigation of such disturbances can be implemented quickly. This paper presents the development of a computer based data acquisition system that provides real time measurement of power quality under sinusoidal and nonsinusoidal conditions. The proposed system simultaneously...
Edge detection techniques are widely used in image processing for object detection based on segmentation of images on local changes in intensity. Here a novel method is presented that detects edges in an image with more accuracy and precision. The proposed technique locates the edge by comparing the pixels in the entire image using a 3×3 binary matrix. A comparative study of different edge detection...
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