Wavelet denoising and feature extraction of seismic signal for footstep detection

Seismic sensors are widely used to detect moving target in ground sensor networks. Footstep detection is very important for security surveillance and other applications. Because of non-stationary characteristic of seismic signal and complex environment conditions, footstep detection is a very challenging problem. A novel wavelet denoising method based on singular value decomposition is used to solve these problems. The signal-to-noise ratio (SNR) of raw footstep signal is greatly improved using this strategy. The feature extraction method is also discussed after denosing procedure. Comparing, with kurtosis statistic feature, the wavelet energy feature is more promising for seismic footstep detection, especially in a long distance surveillance.

Hypersausage neural networks and its application in face recognition

In this paper, we firstly give the nature of 'hypersausages', study its structure and training of the network, then discuss the nature of it by way of experimenting with ORL face database, and finally, verify its unsurpassable advantages compared with other means.

Evaluation of a combined wavelet and a combined principal component analysis classification system for BCG diagnostic problem

Heart disease is one of the main factor causing death in the developed countries. Over several decades, variety of electronic and computer technology have been developed to assist clinical practices for cardiac performance monitoring and heart disease diagnosis. Among these methods, Ballistocardiography (BCG) has an interesting feature that no electrodes are needed to be attached to the body during the measurement. Thus, it is provides a potential application to asses the patients heart condition in the home. In this paper, a comparison is made for two neural networks based BCG signal classification models. One system uses a principal component analysis (PCA) method, and the other a discrete wavelet transform, to reduce the input dimensionality. It is indicated that the combined wavelet transform and neural network has a more reliable performance than the combined PCA and neural network system. Moreover, the wavelet transform requires no prior knowledge of the statistical distribution of data samples and the computation complexity and training time are reduced.

小波变换理论应用进展

本文介绍了小波变换理论 ,讨论了基本小波函数的选取准则和小波变换算法 ,分析了小波变换与人工智能等其它方法的结合方式和特点 .通过介绍小波变换在信号瞬态分析、图像边沿检测、图像去噪、模式识别、数据压缩、分形信号分析等方面的应用实例 ,讨论了小波变换在处理非平稳信号和复杂图像时的优势 .最后 ,对小波变换理论的发展及其应用前景作了描述 .

通过对心理学期刊的几项统计分析看我国十年来儿童发展教育心理学研究状况与动向

In this study, bibliometric method was usded in the investigation of 2274 papers concerning child developmental and educational psychology, which were published during the ten years of 1979-1988, in 14 psychological journals and 97 other scientific journals. According to the quantitative and qualitative analyses, the results are as follows: 1979-1988 saw the rapid development and prosperous period in China's child developmental and educational psychology, During which more papers were published and more fields couched than in the psvious thirty years. The number of literature publications increased and went to the peak in 1983 and 1984, and came down since 1985. The trend was found to result from the decrease in popular science introductions of psychology, which reflected that a heat of psychology had appeared in 1983 and started to cool in 1985. At the mean time, the number of research reports had been holding a steady increase by 1987 and decreased obviously in 1988, especially in the fields of cognitive and social development. There could be several possible explanations of this phenonemon: Piagetian studies are becoming fewer and the eakening of Piaget's influence might predict a period of standstill in the field of developmental psychology in China; As researches become more and more difficult, researchers have turned to be more cautious in lay out their reports; the cutdown of fees and staff could also be one of reasons for less publication in 1988. As the factors mentioned above still exist and their influences last, the number of papers are not expected to increase in the near future. The field of thinking and menory is closely connected with that of artificial intelligence. The downhill situations in these two fileds should be taken seriously. 2. The types of research work are divided on the bases of their problem raising. The trends show that the deepening studies, which represent a comaratively higher level of exploration, are waving fewer, while repeated studies and creative studies are becoming more as the years go along. This fact is worth being further analysed. Big progress could be seen from research methods. The methods currently used are mainly experiment, psychological measurement and assessment, and theoretical reasoning. There is a rapid increase of research by using scales. Wechsler Intelligence Scale for Children, Binet Scale and Baley Scale have been revised andstandardized. Chinese researchers have also developed several good scales of their own, some of which are valuable and need to be standardized. In the papers investigated, the amount of citation is significantly lower than the world average level as well as the average citation number of whole China's scientific literature. Among the papers cited, most are of Chinese and English languages, and only a small rate were published in resently five years. The renewal of literature cited seems to stay at a low level in the ten years. Tremendous work could be reflected by the number of subjects used the research work in those ten years: 362665. A lot of studies piled on the period of 4-16 year olds. Compared with the previous thirty years, the age range was much enlarged and there were quite a few studies about preschool, school and adolescent periods. The study of newborn of 0-3 has been a weak point so far and it is a field to which chinese developmental psychologists should pay more attention. The progress in using statistics is one of the most obvious part in the development in the research work of child developmental and educational psychology. The one tendency that should be awared and avoid is to put the cart before the horse: seeking for more sophisticated statistic method while neglecting the meanings of research problems. 3. Citation analysis was used in selecting scholars who had great influence in the field of child developmental and educational psychology. Among the often cited and famous scholars, 31 are Chinese researchers and 12 are Western psychologists. The authoritative journal for child developmental psychology and educational psychology is Acta Psychologica Sinica.

Reinforcement-related neurons in the primate basal forebrain respond to the learned significance of task events rather than to the hedonic attributes of reward

The objective of this study was to determine if the responses of basal forebrain neurons are related to the cognitive processes necessary for the performance of behavioural tasks, or to the hedonic attributes of the reinforcers delivered to the monkey as