Tag occ [14 articles]

Abstract

The purpose of this study was to determine the extent to which newly qualified teachers employed the Sport Education (SE) model. In addition, we attempted to discover factors that led to and facilitated beginning teachers employing the model and those that did not. Participants were six American and four British beginning teachers. Data were collected by formally interviewing each teacher. Analysis procedures employed were analytic induction and constant comparison. Occupational socialization was the theoretical framework that guided data collection and analysis ...

Abstract

According to the basic emotions theory, the paper presents personality,mood, and emotion space. The mapping relationship among personality , mood and emotion is built. The equations for updating the affective and mood states are induced and a generic computing model for personality ,mood and emotion simulation for virtual human is constructed. The simulation results demonstrate that the affective model can better simulate the dynamic process of emotion and mood change under various environment stimulus. The model provides a valid method to ...

Abstract

Virtual humans have been the focus of computer graphics research for several years now. The amalgamation of computer graphics and artificial intelligence has lead to the possibility of creating believable virtual personalities. The focus has shifted from modeling and animation towards imparting personalities to virtual humans. The aim is to create virtual humans that can interact spontaneously using a natural language, emotions and gestures. This paper discusses a system that allows the design of personality for emotional virtual human. We adopt ...

Abstract

The OCC (Ortony, Clore, & Collins, 1988) model has established itself as the standard model for emotion synthesis. A large number of studies employed the OCC model to generate emotions for their embodied characters. Many developers of such characters believe that the OCC model will be all they ever need to equip their character with emotions. This paper points out what the OCC model is able to do for an embodied emotional character and what it does not. Missing features include a history function, a personality designer and the interaction ...

Abstract

A widespread assumption in theories of emotion is that there exists a small set of basic emotions. From a biological perspective, this idea is manifested in the belief that there might be neurophysiological and anatomical substrates corresponding to the basic emotions. From a psychological perspective, basic emotions are often held to be the primitive building blocks of other, nonbasic emotions. The content of such claims is examined, and the results suggest that there is no coherent nontrivial notion of basic emotions ...

Abstract

Neural network classifiers can be trained to estimate the posterior probability of a fault occurring given the values of a set of input parameters. With jet engines, however, faults are extremely rare and hence their prior probability is very low. The principle of novelty detection offers an alternative approach to the problem of fault detection. Novelty detection only requires the normal class to be defined. A statistical description of normality is learnt by including normal examples only in the training data; ...

Abstract

Time-series novelty detection, or anomaly detection, refers to the automatic identification of novel or abnormal events embedded in normal time-series points. Although it is a challenging topic in data mining, it has been acquiring increasing attention due to its huge potential for immediate applications. In this paper, a new algorithm for time-series novelty detection based on one-class support vector machines (SVMs) is proposed. The concepts of phase and projected phase spaces are first introduced, which allows us to convert a time-series ...

Abstract

This letter proposes and analyzes a method ( ξαρ -estimate) to estimate the generalization performance of one-class support vector machine (SVM) for novelty detection. The method is an extended version of the ξα -estimate method, which is used to estimate the generalization performance of standard SVM for classification. Our method is derived from analyzing the connection between one-class SVM and standard SVM. Without any computation intensive re-sampling, the method is computationally much more efficient than leave-one-out method, since it can ...

Abstract

Fast incipient machine fault diagnosis is becoming one of the key requirements for economical and optimal process operation management. Artificial neural networks have been used to detect machine faults for a number of years and shown to be highly successful in this application area. This paper presents a novel test technique for machine fault detection and classification in electro-mechanical machinery from vibration measurements using one-class support vector machines (SVMs). In order to evaluate one-class SVMs, this paper examines the performance of ...

Abstract

With the tremendous growth of the Internet, information system security has become an issue of serious global concern due to the rapid connection and accessibility. Developing effective methods for intrusion detection, therefore, is an urgent task for assuring computer & information system security. Since most attacks and misuses can be recognized through the examination of system audit log files and pattern analysis therein, an approach for intrusion detection can be built on them. First we have made deep analysis on attacks ...

Abstract

Feature reduction is often an essential part of solving a classification task. One common approach for doing this, is Principal Component Analysis. There the low variance directions in the data are removed and the high variance directions are retained. It is hoped that these high variance directions contain information about the class di#erences. ...