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In this paper, we study neural network ensembles (NNE) classifier with regularized negative correlation learning (RNCL) and its application to pattern classification. In RNCL algorithm, the regularization parameter is used to control the trade off between mean square error and regularization, and to improve the ensemble's generalization ability. We propose an automatic RNCL algorithm based on gradient...
In automation and standardization of quality of cane sugar in sugar factory, quantized identification process needs to be done. Identification of cane sugar was done based on image of cane sugar. In classification and identification based on image, colour models used could influence success rate of identification. This paper presents comparative study among RGB, HSV, HSI, YCbCr, and L∗a∗b colour models...
This study utilizes artificial neural network (ANN) to explore the nonlinear influences of number of inventors, average age of patents, and age of patenting activities on patent citations and corporate performance in the US pharmaceutical industry. The results show that number of inventors, average age of patents, and age of patenting activities of the US pharmaceutical companies have the nonlinearly...
Among the elderly, falls are a well-known safety hazard, often resulting in major injury, hospitalization and death. To reduce the injuries caused by falls, it is first necessary to predict a fall as early as possible and then to provide protection for the person who is falling. This paper proposes a fall-prediction algorithm (FPA) that can predict whether the person will fall within one-walking-step...
The human auditory system perceives sound in a much different manner than sound is measured by modern audio sensing systems. The most commonly referenced aspects of auditory perception are loudness and pitch which relate to the objective measures of frequency and sound pressure levels. This paper describes an efficient and accurate method for the conversion of the sensed factors of frequency and sound...
Emotion Recognition from speech has evolved itself as the most significant research area in the field of affective computing. In this paper, two emotional speech datasets, have been analyzed, based on gender distinction (male and female speech). This paper introduces a new approach of speech-emotion recognition based on the use of AdaBoost classification Algorithm. Artificial neural network has been...
The main problem in wood species recognition system is the lack of discriminative features of the texture images. Some of the wood species have similar patterns with others and some have different patterns even though they are of the same species. Moreover, the growth rings for tropical wood changes slightly due seasonal changes in climate. One of the ways to improve the system is by providing more...
In this paper, we propose voice conversion based on articulatory-movement (AM) to vocal tract parameter (VTP) mapping. An artificial neural network (ANN) is applied to map AM to VTP and to convert the source speaker's voice to the target speaker's voice. The proposed system is not only text independent voice conversion, but can also be used for an arbitrary source speaker. This means that our approach...
Classification is a rather omnipresent problem in many of the technological areas ranging from image processing to medical applications. With complex-valued neural network classifiers posing better decision making capabilities due to its orthogonal decision boundaries and it's comparatively better computational capability many complex valued neural network (CVNN) classifiers has been presented in...
An ANN based system has been developed for forecasting the roll motion of a ship and predicting the onset of parametric roll resonance. This kind of instability can be devastating for the ship and is a phenomenon that is difficult to predict when using classical mathematical modeling approaches. In the present investigation the ANNs are trained using data obtained from a mathematical model of ship...
Traditional speech/non-speech segmentation systems have been designed for specific acoustic conditions, such as broadcast news or meetings. However, little research has been done on consumer-produced audio. This type of media is constantly growing and has complex characteristics such as low quality recordings, environmental noise and overlapping sounds. This paper discusses an evaluation of three...
This study elaborates on a design of a face recognition algorithm realized with feature extraction from 2D-LDA and the use of polynomial-based radial basis function neural networks (P-RBF NNS). The overall face recognition system consists of two modules such as the preprocessing part and recognition part. The proposed polynomial-based radial basis function neural networks is used as an the recognition...
Recently, vast research attention has been put to develop automated procedures for pavement inspection and evaluation. The current work concentrates on developing a multi-stage expert system for pavement distress detection and classification. Mixture of Wavelet modulus and Three Dimensional Radon Transform (3DRT) are used for knowledge generation. The features and parameters of the peaks are finally...
This paper presents new intelligent-based technique namely Quantum-Inspired Evolutionary Programming-Artificial Neural Network (QIEP-ANN) to predict the amount of load to be shed in a distribution systems during undervoltage load shedding. The proposed technique is applied to two hidden layers feedforward neural network with back propagation. The inputs to the ANN are the load buses and the minimum...
The term intelligence is associated in many areas such as linguistic, mathematical, music and art. In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. The EEG signals are then used to form the spectrogram images, from which a large data of Gray Level Co-occurrence Matrix (GLCM) texture features were extracted. Then, Principal Component Analysis...
Natural compounds found in mangosteen peel such as squalene and α-cubebene were proven to exhibit antimicrobial, antibacterial and anticancer activity for cancer disease treatment. Supercritical Carbon Dioxide (SC-CO2) extraction process was conducted at constant flowrate of 24 mL/min within 40 minutes and by varying temperature and pressure from 50 to 80°C and from 34.5 to 55.1 MPa, respectively...
This paper proposes the neural network (NN) based approach for the identification of various harmonic sources present in an electrical installation. In this method the harmonic injecting devices are identified using their distinct ‘harmonic signatures’ extracted from the input current waveform. The complexity increases with increase in the number of loads and their combinations. Such automated non-intrusive...
Today's CPU cores usually possess private L1 and L2 cache and share L3 cache with other cores of the chip (die). Private or shared cache could have significant impact to the algorithm performance in parallel implementation, i.e. using tightly coupled CPU cores with the same last level L3 cache, or loosely coupled CPU cores with private L3 cache per chip. Private cache increases the overall cache size...
In this paper we propose a Sequential Ensemble Classification (SEC) technique which is designed to tackle the problem of learning from a data set with an extremely unbalanced distribution of instances among the classes. This system employs a specific decomposition technique that reduces the degree of unbalance in the data by transforming multi-class problem into a sequence of binary class problems...
Diabetes is a common but serious chronic disease. Nearly 8% of Americans who are aged 65 and older (about 10.9 million) suffer from this deadly disease. Self-management of this disease is possible, yet the older population lack knowledge, have denial and often lack motivation to do so. Recently we have demonstrated sensor-based network architecture within the home to monitor daily activities and biological...
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