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Texture can be characterized in different ways. Local texture facets are considered to be one of the useful approaches for texture analysis. Local texture facets comprise data about the texture behavior. The present approach extracts the texture primitive units (TPU) and texture primitive spectrum (TPS) for classification of the textures. The present paper derives a feature extraction algorithm based...
This paper presents the kinematic analysis of the SCORBOT-ER 4u robot arm using a Multi-Layered Feed-Forward (MLFF) Neural Network. The SCORBOT-ER 4u is a 5-DOF vertical articulated educational robot with revolute joints. The Denavit-Hartenberg and Geometrical methods are the forward kinematic algorithms used to generate data and train the neural network. The learning of forward-inverse mapping enables...
In this paper, Sentence level Sentiment Analysis of Malayalam movie reviews is done by classifying the polarity of opinions obtained from the user as positive, negative and neutral. Sentiment analysis is an application of Natural Language Processing and text analysis which helps to identify the emotions in a given context. In this work a hybrid approach for Sentiment Analysis is used in which Machine...
In this paper, artificial neural network (ANN) based approach is used to quickly estimate the margin to voltage collapse. A new index “Post Contingency Loading Margin” (PCLM) has been proposed to estimate the loadability margin of the system leading to evaluation of critical contingencies and identification of weak buses under any operating condition. The proposed method has been applied and tested...
The Systems using Orthogonal Frequency Division Multiplexing (OFDM) suffer with carrier frequency offset (CFO) results in inter carrier interference (ICI) due to which there will be large performance degradation. The impairment like CFO is caused due to mismatch of carrier frequency at the transmitter to local oscillator frequency at the receiver, multipath and Doppler shift. This paper presents a...
Rainfall is one of the most significant parameters in a hydrological model. Several models have been developed to analyze and predict the rainfall forecast. In recent years, wavelet techniques have been widely applied to various water resources research because of their time-frequency representation. In this paper an attempt has been made to find an alternative method for rainfall prediction by combining...
The main objective of this work was to evaluate and compare the effects of Functional Electrical Stimulation (FES) therapy in the walking ability and muscle strength studied by electromyography (EMG) analysis between subacute and chronic stroke patients. Eighteen consecutive hemiplegic patients suffering from foot drop were assigned either to subacute or chronic group. Patients of both groups' were...
Multisensor data fusion is highly applicable in robotics applications because the relationships among objects and events changes due to the change in orientation of robot, snag in sensory information, sensor range and environmental conditions etc. High level and low level image processing in machine vision are widely involved to investigate object identification in complex application. Due to the...
Wireless capsule endoscopy (CE) is increasing being used to assess several gastrointestinal(GI) diseases and disorders. Current clinical methods are based on subjective evaluation of images. In this paper, we develop a method for ranking lesions appearing in CE images. This ranking is based on pairwise comparisons among representative images supplied by an expert. With such sparse pairwise rank information...
This paper presents a new approach to evaluation of registration using a general discriminative learning model that is independent of the type of registration method. We select features by association of a registration with a set of metrics (pixel based, patch based and histogram based statistics) and learn a classifier that discriminates mis-registrations from correct registrations using Adaboost...
In this paper we discussed and implemented Morphological method for face recognition using fiducial points. A new technique for extracting facial features is suggested here. This method is independent of the face expressions. In recognition process, these fiducial point are fed as inputs to a Back propagation neural network for learning and identifying a person. So with the help of this technique,...
This paper presents a novel approach to odor discrimination using data obtained from the responses of thick film tin oxide sensor array fabricated at our laboratory and employing backpropagation algorithm trained artificial neural network based on fuzzy logic. Fuzzy membership values were used as target vectors to the proposed neural classifier. Three different versions of backpropagation algorithm...
Human faces are neither exactly Lambertian nor entirely convex and hence most models in literature which make the Lambertian assumption, fall short when dealing with specularities and cast shadows. In this paper, we present a novel anti-symmetric tensor spline (a spline for tensor-valued functions) based method for the estimation of the Apparent BRDF (ABRDF) field for human faces that seamlessly accounts...
This paper proposes a novel approach to discover a set of class specific ldquocomposite featuresrdquo as the feature pool for the detection and classification of complex objects using AdaBoost. Each composite feature is constructed from the combination of multiple individual features. Unlike previous works that design features manually or with certain restrictions, the class specific features are...
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