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检索条件"任意字段=2012 IEEE 3rd International Conference on Software Engineering and Service Science, ICSESS 2012"

共 513 条记录，以下是421-430 订阅

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Study of the Influence of Foreign Direct Investment Affecting Market Structure of Port Group of the Pearl River Delta

Study of the Influence of Foreign Direct Investment Affectin...

引用

2012 ieee 3rd international conference on software engineering and service science（icsess 2012）

作者： Rong Wu Department of transportation planning and management Wuhan University of Technology Wuhan City,Hubei Province,ChinaMin Tu Department of transportation planning and management Wuhan University of Technology Wuhan City,Hubei Province,China

In recent years,ports in China have increasingly become one of the ideal investment locations for international *** analysis of the relationship between foreign direct investment and market structure of ports in China has a certain reference value for the further study of the development of port market *** also helps to make proper port policies for our *** this paper,we take port group of the Pearl River Delta for instance,two independent variables,the whole amount of foreign direct investment and enterprises number,are selected in the regression model to test the relationship between FDI and market concentration,which is based on the calculating of related coefficient between *** is concluded that foreign direct investment promotes the concentration of port markets to some extent,aggravating port market monopoly.

关键词： foreign direct investment enterprise quantity market concentration port

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Study on Demand Side Management Decision Supporting System

Study on Demand Side Management Decision Supporting System

引用

2012 ieee 3rd international conference on software engineering and service science（icsess 2012）

作者： Xiandong Tan,Baoguo Shan and Zhaoguang Hu Dept. of Economy and Energy Supply & Demand Research State Grid Energy Research Institute Xicheng District,Beijing,ChinaSizhu Wu Investment Department Beijing Lucency Enviro-tech Corperation Haidian District,Beijing,China

Demand side management includes not only many links but also many participators and a great deal of work of data processing,statistics and analysis,it is necessary to provide an effective tool for implementing DSM to construct DSM decision supporting *** paper studies the general frame,software architecture,hardware platform and main function modules of DSM decision supporting system,and constructs a DSM decision supporting system of B/S structure according with J2EE *** system realizes ten functions,including energy efficiency assessment,DSM program design,DSM project management,DSM electricity savings analysis,electric load analysis and forecast,peak load shifting management,DSM policy modeling,DSM project comprehensive evaluation,DSM case management and DSM prime data management,which can provide a unified decision supporting platform for participants in DSM work.

关键词： demand side management decision supporting system B/S structure function module policy modeling electricity savings

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BOOTING LINUX FASTER

BOOTING LINUX FASTER

引用

2012 3rd ieee international conference on Network Infrastructure and Digital Content

作者： Dokeun Lee Youjip Won Embedded Software Systems Laboratory Department of Electronics ＆ computer EngineeringHanyang University

Booting is a process that initializes all the systems and it is an essential process of operating system to *** of this reason,system users have to wait until this process finishes and it is very ***,non-volatile memories are rising up as an alternative method for *** non-volatile characteristic makes several processes in existing boot mechanism *** these processes are eliminated,the system users can spend shorter time to control the *** this paper,we propose a technique which uses only one kernel image for every booting by using non-volatile memories.

关键词： Fast booting Non-volatile memory

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Recognizing Textual Entailment with Synthetic Analysis Based on SVM and Feature Value Control

Recognizing Textual Entailment with Synthetic Analysis Based...

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2012 ieee 3rd international conference on software engineering and service science（icsess 2012）

作者： Shangqing ZHANG 1 Yinglin WANG 2 Di ZHU 1 Jun SHI 2 Ruixin ZHANG 2 1 Carnegie Mellon University Pittsburgh Pennsylvania 2 Shanghai Jiao Tong University 800 Dongchuan rd Shanghai

Recognizing Textual Entailment,as one of the branches of Nature Language Processing,has been widely adopted in Human Computer Interaction and Question Answering *** problem is trying to build an intelligent system which can analyze the content of an input text （T）,and then raises a hypothesis （H） inferred from *** self-design RTE system,which is called SNRTE,combines lexical,syntax,and semantic 3 levels of analysis,under the support of NLP tools including Stemmer,Tokenize,Parser,POS Tag,Name Finder,WordNet2.1,and Support Vector Machine,*** these modules fetch useful information elements in the target text to define 49 feature values to train the system to make judgments by *** training data is token from RTE official contest including 1600 pairs of tests and hypothesizes P（T,H）.The average correct judgment rate is 67.5%,far above the average system correctness in RTE1 contest （55.12%） and better than the 2nd system （60.6%）.

关键词： Nature Language Processing Recognizing Textual Entailment Feature Values Support Vector Machine

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Improving Generalization of Parzen Density Estimation by Fuzzy C-Means Clustering

Improving Generalization of Parzen Density Estimation by Fuz...

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2012 ieee 3rd international conference on software engineering and service science（icsess 2012）

作者： Jing Zhou College of science Agricultural University of Hebei Baoding 071001,Hebei,ChinaYushi Yang and Yajing Zhang College of science Agricultural University of Hebei Baoding 071001,Hebei,China

Using fuzzy c-means clustering procedure to find a condensed set for Parzen windows estimation (Parzen FCMC ) is proposed in this *** full Parzen windows estimator usually requires more computation and ***,the experimental simulations show that the significant increase of reference data may not improve the estimation performance of Parzen windows method *** addition,the theoretical analysis validates the traditional Parzen windows estimator is sensitive to noise ***,in order to improve the generalization capability (i.e.,the adaptability to nosie data) of Parzen windows estimation,we try to find a condensed dataset to conduct the probability density estimation by adopting the following measures: 1) clustering the original dataset by using fuzzy c-means;2) estimating the underlying density function based on the condensed reference ***,the experimental results on the synthetic datasets obeying Uniform,Normal,Exponential,and Rayleigh distributions show the usefulness and effectiveness of proposed Parzen FCMC .The significant savings on computation and storage can be achieved with only minimal mean integrated squared error (MISE) degradation.

关键词： Fuzzy c-means clustering,generalization,Parzen windows method,probability density function.

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NGNA:A NOVEL NEXT GENERATION NETWORK ARCHITECTURE

NGNA:A NOVEL NEXT GENERATION NETWORK ARCHITECTURE

引用

The 3rd ieee international conference on Network Infrastructure and Digital Content (2012年第三届ieee网络基础设施与数字内容国际会议(ieee IC-NIDC2012))

作者： Changjia Chen Tong Gan Fuhong Lin School of Electronic and Information Engineering Beijing Jiaotong University Beijing 100044 China School of Computer and Communication Engineering University of Science and Technology Beijing Beiji

The first design of Internet is a task driven *** have never thought that the lnternet can increase into today's *** the shortcomings of traditional Internet are *** cope with these shortcomings and design a more reasonable next generation network architecture,we propose NGNA which is a two-layer structure naming service layer and transmission *** layer is used for service registration and retrieval,and we use the idea of cloud computing and register all the resources in cloud part,so users do not store any *** layer is used for data package transmission and we use multipath *** we analyze the NGNA in the following aspects:reliability,security and *** outcome is that NGNA has good performance in these characters.

关键词： Next generation network Reliability Architecture Security Scalability

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Face Recognition of Technology Experts for e-Government Based on Web Mining

Face Recognition of Technology Experts for e-Government Base...

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2012 ieee 3rd international conference on software engineering and service science（icsess 2012）

作者： Yefei Zha Faculty of Computer engineering Huaiyin Institute of Technology Huaian,Jiangsu Province,ChinaQuanyin Zhu and Yunyang Yan Faculty of Computer engineering Huaiyin Institute of Technology Huaian,Jiangsu Province,China

Both Principal Component Analysis (PCA) and Two-dimensional Principal Component Analysis (2DPCA) are successful face recognition *** recognition accuracy can be achieved using these two methods on the normal facial database,such as ORL,FERET,Yale,AR,*** order to construct an enormous Face Database of science and Technology Experts (FDSTE) for e-government,face recognition algorithm based on Web mining should be researched on *** of the quality of images extracted from Web is largely ***,an improved method based on 2DPCA called M-2DPCA is proposed in this paper which combines the merits of 2DPCA,PCA and *** is,firstly,2DPCA is used to deal with the original image matrixes,and then PCA is used to compress the feature matrixes again,at last we apply Fisher criterion to obtain the optimal set of discriminable vector for better *** on the FDSTE show that M-2DPCA is best than 2DPCA and PCA in terms of the classification speed and the recognition rate for the face recognition by Web *** demonstrates that the proposed algorithm performance and proves this case is meaningful and useful for researching and application on the face recognition by Web mining.

关键词： PCA 2DPCA face recognition face database M- 2DPCA

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ANAYSIS AND DESIGN OF LINEARITY IMPROVED MIXER USING THIrd-OrdER TRANSCONDUCTANCE CANCELLATION

ANAYSIS AND DESIGN OF LINEARITY IMPROVED MIXER USING THIRD-O...

引用

2012 3rd ieee international conference on Network Infrastructure and Digital Content

作者： Myoung-Gyun Kim Tae-Yeoul Yun Department of Electrical and Computer Engineering Hanyang UniversitySeoulKorea

This paper proposes a new linearity improvement technique using third-order transconductance *** proposed technique requires a transconductance stage composed of common-source and common-gate stages with source degeneration inductors and eliminates the third-order distortion term through a feed-forward *** analysis of the proposed technique is performed using current equations representing nonlinear *** proposed technique is applied to a CMOS RF mixer based on Gilbert *** simulated IIP3 of the proposed mixer is-2.5 dBm which is improved by approximately 7 dB compared with a conventional structure while consuming 4.14 mW from a supply voltage of 1.5 V.

关键词： Feed-forward Linearity Mixer Thirdorder intermodulation distortion

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EFFICIENT COMPUTATIONS OF LINK-BASED SIMILARITY MEASURES ON THE GPU

EFFICIENT COMPUTATIONS OF LINK-BASED SIMILARITY MEASURES ON ...

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2012 3rd ieee international conference on Network Infrastructure and Digital Content

作者： Yong-Yeon Jo Duck-Ho Bae Sang-Wook Kim Data and Knowledge Engineering Laboratory Hanyang University SeoulKorea

In this paper,we first analyze how the characteristics of the GPU affect the performance of link-based similarity *** on the analysis,we describe our strategies to improve the performance of link-based similarity meas... 详细信息

关键词： GPU Link-based similarity

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SEMI-AUTOMATIC INTERACTIVE MODELING FOR MODEL-BASED CAMERA TRACKING

SEMI-AUTOMATIC INTERACTIVE MODELING FOR MODEL-BASED CAMERA T...

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2012 3rd ieee international conference on Network Infrastructure and Digital Content

作者： Eun Joo Rhee Kangsoo Kim Byung-Kuk Seo Jong-Il Park Department of Electronics and Computer Engineering Hanyang UniversitySeoulKorea

Object modeling is an important task as a pre-processing of model-based camera *** this paper,we present a semi-automatic interactive modeling method to create 3D object models with simple primitives such as points and *** approach is based on feature-based modeling that uses 3D point clouds of target *** of using graphic modeling tools,the modeling is intuitively performed by user participation in video ***,we analyze sensitivity of camera tracking according to modeling errors using Cramer-Rao Lower Bound.

关键词： Camera tracking Model-based tracking Object modeling Error analysis

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