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Search Results: 1 - 10 of 55354 matches for " Ping Zhou "
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Analyzing Information Needs of Elderly People: A Survey in Chinese Rural Community  [PDF]
Chunfang Zou, Ping Zhou
Open Journal of Social Sciences (JSS) , 2014, DOI: 10.4236/jss.2014.29019
Abstract:

A survey about the information needs of elderly people could find out the information required to address the needs of the aged in a community. Analyzing data collected from 600 elderly people through field investigation with a questionnaire in a rural community in central China, the results show that the preferred information format of the majority of aged people is audio and/or visual information product, especially audio product. Most of the aged people stated that they were in need of healthy and medical non-educational audio information products. The survey maybe lead to improved and expanded information services for respondents who are short of such services, including Public broadcasting services, extending the audiovisual collection, loaning audiovisuals, religious faith audiovisuals and others providing needed information to them. In summary, this paper assembles views on what the elderly people currently need to be helped by both practitioners and researchers in the elderly people services domain.

Combining Gene-Phenotype Association Matrix with KEGG Pathways to Mine Gene Modules Using Data Set in GAW17  [PDF]
Hua Lin, Yang Zheng, Ping Zhou
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B067
Abstract:

Currently, genome-wide association studies have been proved to be a powerful approach to identify risk loci. However, the molecular regulatory mechanisms of complex diseases are still not clearly understood. It is therefore important to consider the interplay between genetic factors and biological networks in elucidating the mechanisms of complex disease pathogenesis. In this paper, we first conducted a genome-wide association analysis by using the SNP genotype data and phenotype data provided by Genetic Analysis Workshop 17, in order to filter significant SNPs associated with the diseases. Second, we conducted a bioinformatics analysis of gene-phenotype association matrix to identify gene modules (biclusters). Third, we performed a KEGG enrichment test of genes involved in biclusters to find evidence to support their functional consensus. This method can be used for better understanding complex diseases.

Modified Function Projective Synchronization between Different Dimension Fractional-Order Chaotic Systems
Ping Zhou,Rui Ding
Abstract and Applied Analysis , 2012, DOI: 10.1155/2012/862989
Abstract: A modified function projective synchronization (MFPS) scheme for different dimension fractional-order chaotic systems is presented via fractional order derivative. The synchronization scheme, based on stability theory of nonlinear fractional-order systems, is theoretically rigorous. The numerical simulations demonstrate the validity and feasibility of the proposed method.
An Adaptive Tracking Control of Fractional-Order Chaotic Systems with Uncertain System Parameter
Ping Zhou,Rui Ding
Mathematical Problems in Engineering , 2011, DOI: 10.1155/2011/521549
Abstract: An adaptive tracking control scheme is presented for fractional-order chaotic systems with uncertain parameter. It is theoretically proved that this approach can make the uncertain parameter fractional-order chaotic system track any given reference signal and the uncertain system parameter is estimated through the adaptive tracking control process. Furthermore, the reference signal may belong to other integer-orders chaotic system or belong to different fractional-order chaotic system with different fractional orders. Two examples are presented to demonstrate the effectiveness of the proposed method. 1. Introduction In nonlinear science, chaos synchronization is a hot topic, which has attracted much attention from scientists and engineers. In the past decades [1–13], various methodologies in control of chaotic system have been proposed, such as variable structure control approach, adaptive control approach, and time-delay feedback control. Up to date, the interest of the scientific community and engineering technological applications in controlling chaotic dynamics has increased after the development of the approach of “tracking,” which can be used to follow an unstable fixed point or an unstable periodic orbit embedded or an arbitrary given reference signal in different dynamical regimes [3, 8–11]. In electronic and laser systems, the experiments on tracking the unstable periodic orbits and steady states were carried out [12, 13]. Some researchers design a controller based on the reference signal and make the output of the chaotic system follow the given reference signal successfully [10, 11]. However, many existed tracking control methods mainly focus on chaotic systems of integer orders [11, 14–17]. Up to now, there have been only a few papers on tracking control for fractional-order chaotic systems [18, 19]. In [18], tracking control of the fractional-order hyper-chaotic Lü system was reported, in which all the system parameters were exactly known. In [19], an adaptive tracking control of the fractional-order hyper-chaotic Lorenz system with unknown parameters was also reported. But, the tracking control methods in [18, 19] were unusual and only suited for specific fractional-order chaotic system, and the given reference signals do not belong to different fractional-order chaotic systems. Inspired by the above discussion, in this paper, a more universal adaptive tracking control method for fractional-order chaotic system with uncertain system parameter, which is different from the previous works, is given based on the stability theory of
A Novel Control Method for Integer Orders Chaos Systems via Fractional-Order Derivative
Ping Zhou,Fei Kuang
Discrete Dynamics in Nature and Society , 2011, DOI: 10.1155/2011/217843
Abstract: A fractional-order control method is obtained to stabilize the point in chaos attractor of integer orders chaos systems. The control law has simple structure and is designed easily. Two examples are also given to illustrate the effectiveness of the theoretical result.
Control and Synchronization of the Fractional-Order Lorenz Chaotic System via Fractional-Order Derivative
Ping Zhou,Rui Ding
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/214169
Abstract: The unstable equilibrium points of the fractional-order Lorenz chaotic system can be controlled via fractional-order derivative, and chaos synchronization for the fractional-order Lorenz chaotic system can be achieved via fractional-order derivative. The control and synchronization technique, based on stability theory of fractional-order systems, is simple and theoretically rigorous. The numerical simulations demonstrate the validity and feasibility of the proposed method.
Inverse correlation between ancient winter and summer monsoons in East Asia?
BoTao Zhou,Ping Zhao
Chinese Science Bulletin , 2009, DOI: 10.1007/s11434-009-0583-7
Abstract: There is a scientific debate on the relationship between ancient winter and summer monsoons in East Asia. Some scholars think that East Asian winter and summer monsoons are anti-correlated, and others think not. For this reason, this study is motivated to assess their linkage from the paleoclimate simulation perspective, through analyzing the Last Glacial Maximum (LGM) and mid-Holocene (MH) climate simulated by CCSM3 model. Compared to the present climate, the Aleutian low is found to be deepened and the East Asian winter monsoon (EAWM) is stronger during the LGM winter. The Pacific high in summer is noticed to be weakened and the East Asian summer monsoon (EASM) is weaker at the LGM. During the MH, the Aleutian low and the Asian high in winter are intensified, and the Asian low and the Pacific high in summer are enhanced, indicating that the EAWM and EASM are both stronger than today. Therefore, the EAWM is not always negatively correlated to the EASM. Their relationship may be different at different geological stages. It can be obtained at least from the numerical simulation results that the EAWM and the EASM is negatively correlated during the cooling period, while positively correlated during the warming period.
Absurdity Theme in Eugene O’Neill’s Middle Period Works:Take The Hairy Ape as an Example
Xiao-ping ZHOU
Studies in Literature and Language , 2010,
Abstract: In O’Neill’s eyes, the mechanized industrial process of the materialistic America distorted man’s spirit and divorced man from the qualities of humanity which gave him dignity and the sense of manhood. As a modern tragedian, O’Neill expressed his doubt of the mechanized society and tried to disclose the awkward situation of modern man. His description of loneliness and alienation of modern man in The Hairy Ape echoes the same theme in the theatre of the absurd. Key words: Eugene O’Neill; The Hairy Ape; Absurdity Theme
Counter-Imitation the Speaker`s Recognition and the Reconfirmation System Based on GMM
Zhou Ping,Xinxing Jing
Information Technology Journal , 2007,
Abstract: It is the foundation of network and information system to strengthen the security for improving status authentication. The veins of voice recognition has merit of no memory, no lose and easy to operate and so on. It can reconfirm the status of the speaker based on counter-imitation recognition and reconfirmation the system so that it can safeguard the security of information and the order. Counter-imitation the speaker’s reconfirmation system take the policy-making way which identified the speaker applies to the recognition of confirmation stage. The experimental result had proved the validity and the usability of counter-imitates deliberatively the speaker to reconfirm method.
An Intrusion Detection Model Based on GS-SVM Classifier
Xiangyu Lei,Ping Zhou
Information Technology Journal , 2012,
Abstract: The Coarse-to-Refined Grid Search Support Vector Machine (GS-SVM) is an improvement on One-class Support Vector Machine (SVM). This study provides a solution for Intrusion Detection System (IDS) based on support vector machine. In practice, it is inefficient for SVM to identify massive intrusive behaviors which will exhaust memory resources. In addition, the accuracy of classification is subject to data preprocessing and parameter selection. In order to obtain precise detection rate, it is crucial to optimize the related parameters for proper kernel function. For this reason, an optimization algorithm based on grid search is proposed. Experiments over networks connection records from KDD 99 data set are implemented for 1-vs-N SVM to evaluate the proposed method. This approach reduces the training time, accelerates the speed of Cross Validation and improves the adaptability of the IDS.
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