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18th Pacific Asia Conference on Information Systems, PACIS 2014

作者： Wang, Changyu Zuo, Meiyun Quan, Xuefei Key Laboratory of Data Engineering and Knowledge Engineering School of Business Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing China

The aging of population has become a global trend and the critical knowledge of enterprises may be lost with the retirement of senior employees. Task-based cooperation is an important method to prevent the loss of knowledge and to promote the knowledge sharing behavior between senior employees and young ones. This paper constructs the knowledge contribution payoff functions of senior employees and young ones in the context of task-based cooperation and analyzes the knowledge contribution behavior using static game theory with complete information, and then we obtain Nash equilibrium solutions under different conditions. The results suggest that enterprises can promote knowledge contribution of senior employees and young ones in the process of task-based cooperation by improving social rate of return(e.g., creating a good cultural atmosphere), reducing cost rate of knowledge contribution (e.g., training on knowledge expression), raising economic rate of return and providing monetary compensation according to the contribution of knowledge, whether the marginal payoff of employees' knowledge contribution is increasing, invariant or diminishing. Since the formation of social return is difficult in the short term, giving economic incentives can be an effective way at the beginning. With the progress of task-based cooperation between senior employees and young ones, the amount of employees' knowledge (especially of young ones'), the productivity of knowledge contribution, the collaborative efficiency and social rate of return will increase and therefore economic incentives contributing to cooperation between both players may decrease appropriately. The findings of this paper are beneficial to understand knowledge sharing behavior in the context of task-based cooperation, and provide several incentive mechanisms for enterprises to promote knowledge sharing between senior employees and young ones.

关键词： Game theory

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Eye blink artifact removal in eeg using tensor decomposition

IFIP Advances in Information and Communication Technology

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IFIP Advances in Information and Communication Technology 2014年 437卷 155-164页

作者： Triantafyllopoulos, Dimitrios Megalooikonomou, Vasileios Multidimensional Data Analysis and Knowledge Management Laboratory Dept. of Computer Engineering and Informatics University of Patras Rion-Patras26500 Greece

EEG data are usually contaminated with signals related to subject's activities, the so called artifacts, which degrade the information contained in recordings. The removal of this additional information is essential to the improvement of EEG signals' interpretation. The proposed method is based on the analysis, using Tucker decomposition, of a tensor constructed using continuous wavelet transform. Our contribution is an automatic method which processes simultaneously spatial, temporal and frequency information contained in EEG recordings in order to remove eye blink related information. The proposed method is compared with a matrix based removal method and shows promising results regarding reconstruction error and retaining the texture of the artifact free signal. © IFIP International Federation for Information Processing 2014.

关键词： Tensors

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Comparative evaluation of feature extraction methods for human motion detection

IFIP Advances in Information and Communication Technology

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IFIP Advances in Information and Communication Technology 2014年 437卷 146-154页

作者： Politi, Olga Mporas, Iosif Megalooikonomou, Vasileios Multidimensional Data Analysis and Knowledge Management Laboratory Dept. of Computer Engineering and Informatics University of Patras Rion-Patras26500 Greece

In this article we conduct an evaluation of feature extraction methods for the problem of human motion detection based on 3-dimensional inertial sensor data. For the purpose of this study, different preprocessing methods are used, and statistical as well as physical features are extracted from the motion signals. At each step, state-of-the-art methods are applied, and the produced results are finally compared in order to evaluate the importance of the applied feature extraction and preprocessing combinations, for the human activity recognition task. © IFIP International Federation for Information Processing 2014.

关键词： Motion estimation

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Market Value of Innovation: An Empirical Analysis on China's Stock Market

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Procedia Computer Science 2015年 55卷 1275-1284页

作者： Meng Xiangying Zhang Yueyan Wei Xianhua School of Management University of Chinese Academy Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Science The State Key Laboratory of Automotive Safety and Energy Tsinghua University Department of Automotive Engineering Tsinghua University Beijing 100084 China

Studies on market value of innovation investment have been based on US and European database. However, few re-searchers investigate Chinese stock market about the market value of firm's expected R&D performance. In this paper, we use constructed panel dataset from three representative stock markets in China: Main Board Market, Small and Media-sized Enterprise Board Market and Growth Enterprise Market and then use intangible assets increment as innovation indicator to examine the innovation investment-firm performance association in both manufacturing and service industries by a dataset over an 11-year period covering 1455 firms to evaluate the differences in their relative contribution to market performance. By comparing the results of these three stock markets, we find out the effect of R&D investment and increasing R&D input to market value is insignificant in all three stock markets, resulting from the weak protection for minority investors and loose regulation of information disclosure. Different constructions of intangible assets of listed firms on MBM and GEM account for market's relatively low efficiency to reflect real value of R&D investment. On industry-level, we conclude that R&D investment in both service and manufacturing sector contributes positively to market performance of firms and R&D investment in service industry shows stronger and more significant linkage to market value than manufacturing industry.

关键词： Market value Innovation R&D China's stock market

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Which One Is Better, Simple or Complex Metrics?

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Journal of Computer and Communications 2015年第11期3卷 52-57页

作者： Fangjun Wu School of Information Technology Jiangxi University of Finance and Economics Nanchang China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China High Level Engineering Research Center of Electronic-Commerce Jiangxi Provincial Colleges and Universities Nanchang China

At the early stage of software lifecycle, the complexity measurement of UML class diagrams plays an important role in software development, testing and maintenance, and provides guidance for developing high quality software. In order to study which one is better, simple or complex metrics, this paper analyzes and compares four typical metrics of UML class diagrams from experimental software engineering view points. Understandability, analyzability and maintainability were classified and predicted for 27 class diagrams related to a banking system by means of algorithm C5.0 within the famous toolkit Weka. Results suggest that the performance of simple metrics is not inferior to that of complex metrics, in some cases even better than that of complex metrics.

关键词： Software Measurement UML Class Diagram Empirical Validation Classification

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Analyzing Information Needs of Elderly People: A Survey in Chinese Rural Community

Analyzing Information Needs of Elderly People: A Survey in C...

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The 8th International Conference on Management and Service Science（MASS 2014）

作者： Chunfang Zou Ping Zhou School of business administration Jiangxi University of Finance and Economics School of Information Technology Jiangxi University of Finance and Economics Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics

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.

关键词： Information Needs,Elderly People,Chinese Rural Community

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Simulation, comparison and analysis of Wireless Sensor Networks protocols: LEACH, LEACH-C, LEACH-1R, and HEED

Simulation, comparison and analysis of Wireless Sensor Netwo...

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International Conference on Electrical engineering (ICEE)

作者： Mohammed Omari Soumia Laroui Department of Computer Science and Engineering Shahid Beheshti University Tehran Iran Knowledge and Data Engineering Group Trinity College Dublin LDDI Laboratory Computer Science Department University of Colonel Ahmed Draya Adrar 01000 Algeria

Wireless Sensor Networks (WSNs) are made up of tiny sensor nodes which sense the data and communicate to the base station via other nodes. These sensor nodes are inexpensive portable devices with limited processing power and energy resources which make them in need of smart clustering protocols. Many clustering and routing protocols were proposed in the literature to serve large networks of such tiny devices. In this paper, we have implemented and analyzed different clustering protocols, namely LEACH, LEACH-C, LEACH-1R, and HEED using MATLAB environment. These clustering protocols are compared in different terms such as residual energy, data delivery to the base station, maximum number of rounds and the number of live nodes. Experimental results showed a better performance of the LEACH protocols when compared to the different versions of HEED. Moreover, LEACH-1R proved to be efficient in terms of network lifetime.

关键词： Wireless sensor networks Base stations Mathematical model Energy consumption Batteries Routing protocols

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Classification of Epileptic and Non-epileptic Events using Tensor Decomposition

Classification of Epileptic and Non-epileptic Events using T...

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IEEE International Conference on Bioinformatics and Bioengineering

作者： Vasileios G. Kanas Evangelia I. Zacharaki Evangelia Pippa Vasiliki Tsirka Michael Koutroumanidis Vasileios Megalooikonomou Multidimensional Data Analysis and Knowledge Management Laboratory Dept. of Computer Engineering and Informatics University of Patras Dept. of Clinical Neurophysiology and Epilepsies Guy's & St. Thomas' and Evelina Hospital for Children

ISBN: (纸本)9781467379847

Misdiagnosis of epilepsy, even by experienced clinicians, can cause exposure of patients to medical procedures and treatments with potential complications. Moreover, diagnostic delays (for 7 to 10 years on average) impose economic burden at individual and population levels. In this paper, a seizure classification framework of epileptic and non-epileptic events from multi-channel EEG data is proposed. In contrast to relevant studies found in the literature, in this study, the non-epileptic class consists of two types of paroxysmal episodes of loss of consciousness, namely the psychogenic non-epileptic seizure (PNES) and the vasovagal syncope (VVS). EEG signals are represented in the spectral-spatial-temporal domain. A tensor-based approach is employed to extract signature features to feed the classification models. TUCKER decomposition is applied to learn the essence of original, high-dimensional domain of feature space and extract a multilinear discriminative subspace. The classification models were evaluated on EEG epochs from 11 subjects in an inter-subject cross-validation setting and achieved an accuracy of 96%.

关键词： Electroencephalography Feature extraction Tensile stress Epilepsy Brain models Training

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Automatic collection of the parallel corpus with little prior knowledge

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8801卷 95-106页

作者： Ma, Shutian Zhang, Chengzhi Department of Information Management Nanjing University of Science and Technology Nanjing210094 China Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing University Nanjing210093 China

As an important resource for machine translation and cross-language information retrieval, collecting large-scale parallel corpus has been paid wide attention. With the development of the Internet, researchers begin to mine the parallel corpora from the multilingual websites. They use some prior knowledge like ad hoc heuristics or calculate the similarity of the webpages structure and content to find the bilingual webpages. This paper presents a method that uses the search engine and little prior knowledge about the URL patterns to get the bilingual websites from the Internet. The method is fast for its low time cost and there is no need for large-scale computation on URL pattern matching. We have collected 88 915 candidate parallel Chinese-English webpages, which average accuracy is around 90.8%. During the evaluation, the true bilingual websites that we found have high similar html structure and good quality translations. © Springer International Publishing Switzerland 2014.

关键词： Websites

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A better constant approximation for minimum 3-connected m-dominating set problem in unit disk graph using Tutte decomposition

A better constant approximation for minimum 3-connected m-do...

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Wei Wang Bei Liu Donghyun Kim Deying Li Jingyi Wang Yaolin Jiang School of Mathematics and Statistics Xi'an Jiaotong University Xi'an China Department of Mathematics and Physics North Carolina Central University Durham USA Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University) Renmin University of China Beijing P.R. China

Over years, virtual backbone has attracted lots of attentions as a promising approach to deal with the broadcasting storm problem in wireless networks. One popular way to construct a quality virtual backbone is to solve the minimum connected dominating set problem. However, a virtual backbone computed in this way is not resilient against topology change since the induced graph by the connected dominating set is one-vertex-connected. As a result, the minimum k-connected m-dominating set problem is introduced to construct a fault-tolerant virtual backbone. Currently, the best known approximation algorithm for the problem in unit disk graph assumes k ≤ 3 and m ≥ 1 and its performance ratio is 280 when k = m = 3. In this paper, we use a classical result from graph theory, Tutte decomposition, to design a new approximation algorithm for the problem in unit disk graph for k ≤ 3 and m ≥ 3. In particular, the algorithm features with much simpler structure and much smaller performance ratio, e.g. nearly 66 when k = m = 3. We also conduct simulation to evaluate the performance of our algorithm.

关键词： Particle separators Approximation algorithms Algorithm design and analysis Approximation methods Wireless networks Conferences Computers

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