The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, Symlets, Coiflets, and Biorthogonal) for analysis of wrist motions from electromyography (EMG) signals. EMG signals are decomposed into three levels using discrete wavelet ...

The brown rice plant hopper (BRPH), Nilaparvata lugens (Stal), is one of the most important insect pests affecting rice and causes serious damage to the yield and quality of rice plants in Asia. This study used bionic electronic nose technology to sample BRPH volatiles, which vary in age and amount. Principal component analysis (PCA), linear discrimination analysis (LDA), probabilistic neural n...

Abstract The accurate identification of the converter transformer magnetizing inrush current can ensure safety operation UHV DC transmission system. In differential protection transformer, it is extremely hard to distinguish between excitation generated when closed and Fault due internal fault, which leads frequent misoperation extent that access fails. This paper proposes a model based on empi...

For the treatment of menopausal symptoms, nutraceuticals and herbal remedies are thought to be more natural safer than hormones. Attention has been paid winged bean (Psophocarpus tetragonolobus (L.)) DC. seed oil. They constituted phytosterols, which may effective in preventing symptoms. The purpose was determine optimal conditions for supercritical fluid extraction oleic-rich oil from seeds. T...

Biosynthetic infochemical communication is an emerging scientific field employing molecular compounds for information transmission, labelling, and biochemical interfacing; having potential application in diverse areas ranging from pest management to group coordination of swarming robots. Our communication system comprises a chemoemitter module that encodes information by producing volatile pher...

An electrocardiogram (ECG) beat classification scheme based on multiple signal classification (MUSIC) algorithm, morphological descriptors, and neural networks is proposed for discriminating nine ECG beat types. These are normal, fusion of ventricular and normal, fusion of paced and normal, left bundle branch block, right bundle branch block, premature ventricular concentration, atrial prematur...

The elicitation method of the fuzzy membership function depends on the interpretation of the membership function. This paper applies a recently developed neural network framework, Plausible Neural Network (PNN), to generate fuzzy membership functions automatically with or without class labeling based on the similarity and likelihood measurement. The approach combining supervised and unsupervise...

This paper presents three techniques of plants classification based on their leaf shape the SVM-BDT, PNN and Fourier moment technique for solving multiclass problems. All the three techniques have been applied to a database of 1600 leaf shapes from 32 different classes, where most of the classes have 50 leaf samples of similar kind. In the proposed work three techniques are used for comparing t...

Purpose: There are many benefits for emotion recognition and classification in human-computer interaction, social communications, gaming industries, and entertainment. Therefore, physiological responses of emotions have been receiving a significant attention. However, the assumption of nonlinear characteristics of physiological signals is usually disregarded. Basic methods: In the current study...

In this paper, we propose a new method for face detection from cluttered images. We use a polynomial neural network (PNN) for separation of face and non-face patterns while the complexity of the PNN is reduced by principal component analysis (PCA). In face detection, the PNN is used to classify sliding windows in multiple scales and label the windows that contain a face. The PNN is shown to be ...