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In this paper, there is an attempt to give a simple and efficient solution to the problem of singer identification in Indian Hindi songs using audio samples. The experiment is done using five well known singers. This work uses MFCC and some spectral features which are extracted for each audio sample taken of size 2 seconds. After a set of pre-processing steps, supervised training is done using multilayer...
Breast cancer is one of the most familiar cancer which is found in women worldwide and about 25% of women in the world are affected by this cancer. The aim of this present work is to determine Breast cancer in mammography images using artificial neural network. Microcalcification are first enhanced based on their illumination and non regularity. Then by the use of an iterative threshold selection...
Indian Power System is equipped mainly with the overhead (OH) line. The inclination towards the use of underground cable (UG) is less. Nowadays with the advent of the XLPE cable with high capacity to transmit power is taking up the interest of the power system engineers to use underground cable along with the overhead line. It is also a solution in the areas where population is more; environmental...
Indoor Location information service (ILS) has been the hot topics of research in recent years. However, localization cost and positioning accuracy is still a challenge for indoor positioning system (IPS). RFID positioning technology is low cost but high positioning accuracy which is usually used for an IPS. In this study, a RFID indoor positioning algorithm is proposed, which is based on the Particle...
This paper introduces artificial neural network (ANN) for long term wind speed prediction. The online available dataset of 26 cities from NASA are used to evaluate the performance of ANN model. Data of 22 cities are used for training the neural network and remaining 4 cities data samples are used for testing purpose. Air temperature, earth temperature, relative humidity, daily solar radiation, elevation,...
According to skin specialist, skin texture has close relation to an individual's health, hormones, hydration, and allergic symptoms. So by procuring one's image texture sample and exposing it to the imaging device we can identify the skin health. Texture analysis is an important tool to analyze the skin texture. The existing means of skin analysis is applicable only for isotropic images. Isotropic...
Natural gas distribution companies have different consumer types including manufacturing industry, organized industrial zones, food and beverage industry, household and other low consuming enterprises, etc. Leading two categories of these consumers are household and low consuming enterprises as they have high consumption in winter whereas low in summer. The paper studies consumption demand forecasting...
This paper presents a system for prediction of naphthalene concentration in the liver and lung compartments of a micro cell culture analog apparatus (µCCA) based on the Artificial Neural Network (ANN). The implemented ANN can be used to simulate organ and circulatory system reactions in terms of residual naphthalene concentrations. For neural network training, 100 samples were used and additional...
In this work realization of automatic scientific articles classification according to Universal Decimal Classifier is presented. Efficiency of neural networks technologies application for current task is researched, and optimal neural network structure and parameters are offered.
Artificial Neural Network (ANN) forms a useful tool in pattern recognition tasks. Collection of five, eight or more cards in a cards game are normally called poker hands. There are various poker variations, each with different poker hands ranking. In the present paper, an attempt is made to solve poker hand classification problem using different learning paradigms and architectures of artificial neural...
Seawater chlorophyll-a (Chla) represents algal biomass in ocean and is a major index of eutrophication. In this paper, bootstrapped artificial neural network (BANN) model is developed for predicting the seawater Chla concentration around the north Pacific Rim. Three-layer ANN structure is applied and the modeling is based on comprehensive five-minute interval datasets of water temperature, depth,...
In the paper, we introduce a novel neural estimator of seats occupied by passengers in a vehicle. The estimator is built from the radial basis function (RBF) neural network. Occupied seats in a vehicle are estimated from transmissions between antennas operating at 60 GHz.
Recognition and detection of human activity is one of the challenges in smart home technologies. In this paper, three algorithms of artificial neural networks, namely Quick Propagation (QP), Levenberg Marquardt (LM) and Batch Back Propagation (BBP), have been used for human activity recognition and compared according to performance on Massachusetts Institute of Technology (MIT) smart home dataset...
The sheath current generates on metal sheath of underground cable, and it causes cable faults, electroshock risk and reducing of cable performance in high voltage underground cable line. Therefore, the sheath current must be reduced, and if the sheath current can be determined before high voltage underground line is installed, the required precautions can be taken to reduce the sheath current. Hence,...
The best pattern recognizers in most instances are human, yet we do not understand how human recognize patterns. The pattern recognition is critical in the human decision task, the more relevant the pattern at your disposal, the better your decision will be. More recently, artificial neural network techniques in pattern recognition have been receiving increasing concentration and awareness. It addressed...
Agriculture is one of the most important stream based on which a country's economy is decided. But unfortunately today we see that the sector of agriculture is gradually coming down due to various factors. One of the drastic factor is that the “Crop Loss”. In many cases the crop loss is due to the illiteracy of the farmers. Hence to resolve this problem, a system has been proposed which guides the...
Power system security is one of the key issues in the operation of smart grid system. Evaluation of power system security is a big challenge considering all the contingencies, due to huge computational efforts involved. Phasor measurement unit plays a vital role in real time power system monitoring and control. This paper presents static security assessment scheme for large scale inter connected power...
The choice of weight initialization routines is one of the important choices to be made for improving the training efficiency of an artificial neural network. In this paper, we analyze the affect of many known weight initialization routines, on training of an artificial neural network, when it was trained with a second order scaled conjugate gradient training algorithm. A number of experiments were...
The core task of the differential relay is to protect the power transformer under faulty condition and to exercise the restrain function in other operating conditions. This paper proposes a better protection scheme by incorporating ANN along with differential relay. The pattern classification property of ANN is exploited which distinguishes the various operating conditions occurring in the power transformer...
A compact device for training of artificial neural network on the basis of knowledge of an expert is described in the article. The device implements the proposed original heuristic method of artificial neural network training for solution of the problems of classification on the basis of weakly formalized expert knowledges and its algorithms that use visual (cognitive) images of possible situations...
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