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Search Results: 1 - 10 of 14703 matches for " Buzhou Tang "
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Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
Xiaoqiang Zhou,Baotian Hu,Qingcai Chen,Buzhou Tang,Xiaolong Wang
Computer Science , 2015,
Abstract: In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the recurrent architecture for this problem. Our approach applies convolution neural networks (CNNs) to learning the joint representation of question-answer pair firstly, and then uses the joint representation as input of the long short-term memory (LSTM) to learn the answer sequence of a question for labeling the matching quality of each answer. Experiments conducted on the SemEval 2015 CQA dataset shows the effectiveness of our approach.
Prediction of protein binding sites in protein structures using hidden Markov support vector machine
Bin Liu, Xiaolong Wang, Lei Lin, Buzhou Tang, Qiwen Dong, Xuan Wang
BMC Bioinformatics , 2009, DOI: 10.1186/1471-2105-10-381
Abstract: In this study, we introduce a novel machine learning model hidden Markov support vector machine for protein binding site prediction. The model treats the protein binding site prediction as a sequential labelling task based on the maximum margin criterion. Common features derived from protein sequences and structures, including protein sequence profile and residue accessible surface area, are used to train hidden Markov support vector machine. When tested on six data sets, the method based on hidden Markov support vector machine shows better performance than some state-of-the-art methods, including artificial neural networks, support vector machines and conditional random field. Furthermore, its running time is several orders of magnitude shorter than that of the compared methods.The improved prediction performance and computational efficiency of the method based on hidden Markov support vector machine can be attributed to the following three factors. Firstly, the relation between labels of neighbouring residues is useful for protein binding site prediction. Secondly, the kernel trick is very advantageous to this field. Thirdly, the complexity of the training step for hidden Markov support vector machine is linear with the number of training samples by using the cutting-plane algorithm.Identification of protein binding site has significant impact on understanding protein function. Development of fast and accurate computational methods for protein binding site prediction is helpful in identifying functionally important amino acid residues and facilitating experimental efforts to catalogue protein interactions. It also plays a key role in enhancing computational docking studies, drug design and functional annotation for the structurally determined proteins with unknown function [1].Protein binding site prediction has been studied for decades [2-4]. Several machine learning methods have been applied in this field. These methods can be split into two groups: classificati
Gateways Placement in Backbone Wireless Mesh Networks  [PDF]
Maolin TANG
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.21005
Abstract: This paper presents a novel algorithm for the gate瑆ay placement problem in Backbone Wireless Mesh Networks (BWMNs). Different from existing algorithms, the new algorithm incrementally identifies gateways and assigns mesh routers to identified gateways. The new algorithm can guarantee to find a feasible gateway placement satisfying Quality-of-Service (QoS) constraints, including delay constraint, relay load constraint and gateway capacity constraint. Experimental results show that its performance is as good as that of the best of existing algorithms for the gateway placement problem. But, the new algorithm can be used for BWMNs that do not form one connected component, and it is easy to implement and use.
QoS-Aware Reference Station Placement for Regional Network RTK  [PDF]
Maolin Tang
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.21007
Abstract: Network RTK (Real-Time Kinematic) is a technology that is based on GPS (Global Positioning System) or more gener-ally on GNSS (Global Navigation Satellite System) measurements to achieve centimeter-level accuracy positioning in real-time. Reference station placement is an important problem in the design and deployment of network RTK systems as it directly affects the quality of the positioning service and the cost of the network RTK systems. This paper identifies a new reference station placement for network RTK, namely QoS-aware regional network RTK reference station placement problem, and proposes an algorithm for the new reference station placement problem. The algorithm can always produce a reference station placement solution that completely covers the region of network RTK.
Sharing and Implementation of Heterogeneous Database for Education Resource Based on XML  [PDF]
Shixi TANG
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.23027
Abstract: The problem of sharing heterogeneous database for accessing different educational resources has to be considered. The study is carried out to realize the heterogeneous database sharing for educational resources using multi-media educa-tional resources as the researching object. XML is applied as middleware for the practical requirements of education. The study has important practical significance for the intellectualization of educational and teaching resource platform.
Traffic Modeling of a Finite-Source Power Line Communication Network  [PDF]
Shensheng Tang
Smart Grid and Renewable Energy (SGRE) , 2011, DOI: 10.4236/sgre.2011.23029
Abstract: Power line communication (PLC) is a promising smart grid application for information transmission using existing power lines. We analytically model a finite-source PLC network subject to channel failure through a queueing theoretic framework. The proposed PLC network model consists of a base station (BS), which is located at a transformer station and connected to the backbone communication networks, and a number of subscriber stations that are interconnected with each other and with the BS via the power line transmission medium. An orthogonal frequency division multiplexing based technique is assumed for forming the transmission channels in a frequency spectrum. The channels are subject to failure during service due to noise. We determine the steady-state solution of the proposed model and derive a set of performance metrics of interest. Numerical and simulation results are presented to provide further insights into the analytical results. The proposed modeling method is expected to be used for evaluation and design of future PLC networks.
China’s Sui Generis plus Oxymoron- its justification  [PDF]
Shaocheng Tang
Open Journal of Political Science (OJPS) , 2011, DOI: 10.4236/ojps.2011.11001
Abstract: In recent years, China’s overall performance stood out extraordinarily. Although the PRC is not only a socialist but also a developing country, it still has offered financial relief to European countries. None of Beijing’s leaders has been directly elected by the people, but most of them have been proven to be competent. Does this mean that the “Beijing Consensus” has taken over “Washington Consensus”? Given China’s vast population and its unique geographical environment and historical development, compared to European countries, China is sui generis. In the traditional Confucianism, benevolence (仁) is a virtue which human beings are born with, while the Western world is rooted deeply in the Christian culture of “original sin”. As a result the rule of virtue in China contrasts the rule of law in the West, harmony vs. contradiction. China’s “socialist market economy” and “Three Represents” are typical oxymorons but with great success. Since the implementation of a “socialist market economy” in 1992 there has been much more market economy than socialism. Currently, political, social and cultural sectors are lagging behind. Therefore, the gap between the rich and the poor must be reduced efficiently. Nonetheless, the corruption problem remains as another serious and important issue for the CCP. Without independent anti-corruption authorities, it would be extremely difficult for them to tackle this problem. For the time being the Mainland has to count on the leadership to set examples for others.
Knowledge Transferring Features in Traditional Construction Project Team in China: Based on SNA  [PDF]
Yong Tang
Technology and Investment (TI) , 2012, DOI: 10.4236/ti.2012.34032
Abstract: For the uniqueness and one-time feature, construction project is urgently needed in knowledge transferring to acquire its high performance. This paper focuses in the exploration of knowledge transferring features from the network perspective. Based on the data from a real construction project team of 40 members, we find that all members have knowledge transferring behavior, while the knowledge transferring density is comparatively low and distance is long; from cluster analysis we find that 89 different clusters in the whole network, and some members (especially the managers) repeated appear in different clusters and assume the responsibilities in coordinating knowledge transferring.
Francis Turbine and Governor Improved Models Considering Step Closing Law of Guide Vanes for Power System Stability Analysis  [PDF]
Yuheng Tang
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.29018
Abstract:

The Francis turbine governing system models in PSD-BPA can’t precisely reflect the actual characteristics. Endeavor was done in this paper to solve the problem. An improved model of actuating mechanism was developed, which could reflect the step closing characteristic of hydro guide vanes. The effect of the inflection point value of actuating mechanism on load rejection was analyzed based on simulation. The non-linear Francis turbine model with power versus gate position module was researched in this paper. Based on field test, comparisons of simulation results with measured data were presented. The analysis demonstrates that the improved models of Francis turbine and governor proposed in this paper are more realistic than the models of BPA, and can be applied in power system simulation analysis better.

How to Enhance Employee Voice Behavior Based on Game Theory  [PDF]
Manzhen Tang
Modern Economy (ME) , 2015, DOI: 10.4236/me.2015.63037
Abstract: With the need of enterprise competition and development, the importance of the employee voice behavior is becoming increasingly apparent. Therefore, people pay more and more attention to employee voice behavior in the field of organization behavior. From the perspective of game theory, this paper has established a static game of complete information and analyzed the strategy selection between enterprise and the employee. Meanwhile, we take appropriate measures in order to achieve win-win development of enterprises and employees.
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