Papers by Keyword: Information Theory

Abstract: To improve the teaching efficiency, there is a need to deeply understand the operation mode of human body engineering. Through teaching practice to analyze the teaching process, with the method of analogy, found it is similar with the process of information transmission. In this paper, the transmission of information theory is applied to the teaching practice, teaching and learning model is established based on the information transmission theory.

Abstract: Tougher request that are being formulated again and again regarding a vehicle’s dynamic performances and its fuel efficiency require a deeper study over the influence of various parameters over to the vehicle dynamic behavior. In the specialty literature we find appreciations both quantitative and qualitative regarding the influence of certain functional parameters, and how their adjustments have an impact on to the vehicle’s performances. We have to mention that the literature guides its self when analyzing the influence of certain parameters after a very restrictive methodology: when studying how a parameter influences a certain behavior all the other parameters are considered to be constant, which obviously does not happen in reality.

Abstract: Classic information theory is based on the probability information which isn't involved in any fuzzy events. A hypothesis of transformation and classification of uncertain information sources presented in this paper is exploited to explain several phenomena in information retrieval. First, the form of uncertainty is introduced including fuzzy and random. Then an information source containing a sample space and a fuzzy set is supposed to illustrate the hypothesis based on which a method of identification for information sources is educed. And there are also some problems for further study, such as the transformation mechanism between different information sources and so on.

Abstract: Information theory and information methods are first introduced. And then information methods are applied into information management system of equipment, which can show relation and character of management processes, and provide scientific support for information management system. Finally, information entropy is used for measurement of information capacity, which can achieve rational and economic equipment management plan.

Abstract: With the fast development of the theories and techniques in information science in recent years, a variety of new methods have been used to help scholars in other fields manage the corresponding knowledge. This paper applied the research methods of information science to psychology to analyze the literature in psychology cited by ISI Web of Knowledge, then got a better understanding of psychology science. In order to understand the dynamics of psychology science, we conducted a quantitative analysis based on 8137 articles cited by SCI or SSCI, and used CiteSpace II to visualize the trends and patterns in the scientific literatures. In the end, the authors drew the following conclusions: (1) among all the individual authors, Cohen J and Seligman MEP share the highest citation times; (2) publications like Positive Psychology - An Introduction, Diagnostic and Statistical Manual of Mental Disorders (DSM), Statistical Power Analysis for the Behavioral Sciences have ranked first in the cited papers; (3) community psychology, clinical psychology, behavior, personality, model, self-are the hot areas and the frontier fields in psychology research.

Abstract: The paper applies the matrix calculation in source entropy calculation and propose the algorithm implementation, which can decrease the calculation cost and increase the accuracy significantly significantly.

Abstract: The Internet of things is a new kind of application technology. It is the extension and expansion of Internet technology. The real-time information theory in the Internet of things promotes the development of China's industry, agriculture and military aspects. Therefore, we should strengthen the study of Internet of things real-time information access problems. This paper introduces the Internet of things, the Internet of things real-time information meaning and basic characteristic, and further discusses the related application of the Internet of things real-time information in detail. It researches the advantages and disadvantages of different access path of the Internet of things real-time information, and tries to explore a way which is conducive to the further development of the Internet of things real-time information theory.

Abstract: The partial discharge (PD) detection systems are often vulnerable to strong external interferences, and sometimes the PD signals are submerged in noises (white noise for example) completely. So the signals acquired must be preprocessed to obtain the reliable PD information. While there are many methods for white noise denoising, mostly are not very suitable for partial discharge. The wavelet transform (WT) coefficient of PD and white noises have different spread characteristics in different WT scales. Based on the Information Theory, The Minimum Information Description Length (MDL) criterion is a optimization strategy, a small amount of signal parameter is requried to the PD signals representation, the paper proposes a wavelet spatial correlation algorithm to partial discharge denoising based on MDL criterion: optimal wavelet function is selected based on MDL, then have the white noise reduced in WT, the algorithm has wonderful virtues such as free from any parameters estimation about noise, free from presetting threshhold and threshold chooseing behavior, so the algorithm is highly adaptive. Large amount of experimental results illustrate that the method presented in this paper are efficient and feasible and outperforms other general method of PD noise reduction.

Abstract: This paper is concerned with the performance evaluation of algorithm of multi-target and target types tracking. Performance evaluation is based on information theory, Kullback-Leibler measure is used to discriminate information provided by algorithm. Through simulations, algorithm of multi-target tracking was evaluated in term of information (localization, classification, and target number components) the algorithm provide about the actual state of ground truth.

Abstract: Information theory has made great impact on the research of communication systems. However, analyze and design of networks has not benefited too much from information theory. Therefore, in this paper, we propose the information-theoretical framework of context aware network to explore the relationship between the information and the network performance. We also analyze the information traffic process in context aware network. To illustrate our approach, we analyze the architecture of context aware network by the information entropy produced in the network, and discuss the way to improve the performance of context aware in an information-theoretic perspective. The results in this paper may be also used to design other network and guide the future network design.