检索结果-内蒙古大学图书馆

2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010

作者： Li, Fangzhen Yang, Fei Zhang, Xuefen Shandong Provincial Key Laboratory of Digital Media School of Computer Science and Technology Shandong Economic University Jinan Shandong 250014 China Patent Office of SIPO P.R.C NO.6 XiTu Cheng Road Beijing 100888 China Key Laboratory of Universal Wireless Communications Beijing University of Posts and Elecommunications Beijing 100876 China School of Computer Science and Technology Shandong Economic University China

ISBN: (纸本)9781424452644

We consider optimal power allocation algorithm for Distributed Sensing networks under the assumption of a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. Each node computes a local statistic and communicates it to the fusion center over rayleigh fading wireless channels. At the fusion, the linear minimum mean square error(LMMSE) is used. Sensor networks in which energy is a limited resource so that we propose an optimal power allocation algorithm, In this paper, for a given power constraints, two types of power allocation methods are considered: 1) equal power transmission strategy, and 2) the optimal power allocation strategy. Finally, we demonstrate the applicability of our results through numerical examples. Compared the two cases, result shows that the optimal distributed estimation algorithm for homogeneous sensor networks achieved the power gain by turning off sensors with bad channels and bad observation quality. © 2010 IEEE.

关键词： Sensor networks

来源：评论

学校读者我要写书评

暂无评论

Distributed LMMSE detection in wireless sensor networks

Distributed LMMSE detection in wireless sensor networks

引用

International Conference on Measuring technology and Mechatronics Automation, ICMTMA 2010

作者： Zhang, Xuefen Li, Fangzhen Yang, Fei Key Laboratory of Universal Wireless Communications Beijing University of Posts and Telecommunications Beijing 100876 China School of Computer Science and Technology Shandong Economic University Jinan Shandong250014 China Shandong Provincial Key Laboratory of Digital Media School of Computer Science and Engineering Shandong Economic University Jinan Shandong250014 China Patent Office of SIPO NO.6 XiTu Cheng Road Beijing 100888 China

ISBN: (纸本)9780769539621

An energy-efficient distributed detection method for wireless sensor networks is considered in this paper. It is assumed that a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. We assume that the links between the nodes and the fusion center are subject to Rayleigh fading wireless channels. At the fusion center, incorporating the effect of fading in the detection process, a decision fusion rule based on the linear minimum mean square error(LMMSE) is investigated. In this paper, two types of constraints are considered: 1) transmission power constraints at the nodes, and 2) the communication channel between the nodes and the decision center. we propose a optimal distributed estimation algorithm in energy-constrained wireless sensor networks. By numerical examples,we illustrate the performance of the proposed serial detection scheme. © 2010 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Speech and Auditory Interfaces for Ubiquitous, Immersive and Personalized Applications

Speech and Auditory Interfaces for Ubiquitous, Immersive and...

引用

Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Lei Xie Wenhuai Zhao Xiangzeng Zhou Xiaohai Tian Bingfeng Li Naicai Sun Yali Zhao Yanning Zhang Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China

In this demonstration, we introduce our recent progress on speech and auditory technologies for potential ubiquitous, immersive and personalized applications. The first demo shows an intelligent spoken question answering system, which enables users to interact with a talking avatar via natural speech dialogues. The prototype system demonstrates our latest development on automatic speech recognition, keyword spotting, personalized text-to-speech synthesis and visual speech synthesis. The second demo exhibits a virtual concert with immersive audio effects. Through our virtual auditory technology, wearing simple earphones, listeners are able to experience immersive concert audio effects from an ordinary music file. We believe the technologies shown in the two demos can be easily deployed in many significant applications.

关键词： Speech Three dimensional displays Ear Hidden Markov models Magnetic heads Avatars

来源：评论

学校读者我要写书评

暂无评论

An Experimental Comparison on KEMAR and BHead210 Dummy Heads for HRTF-based Virtual Auditory on Chinese Subjects

An Experimental Comparison on KEMAR and BHead210 Dummy Heads...

引用

2010 The IET 3rd International Conference on Wireless,Mobile & Multimedia networks(第三届IET无线移动及多媒体网络国际会议 ICWMMN 2010)

作者： Xiaohai Tian Zhonghua Fu Lei Xie Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi’an China

ISBN: (纸本)9781849192408

Head related transfer functions (HRTFs) vary with anatomical structures in head, pinna and torso. As we know, Chinese are highly different from their Western counterparts in anatomical characteristics. In this paper, we perform an experimental study on HRTF-based virtual auditory, in which the HRTF data are collected from two dummy heads: KEMAR and BHead210. KEMAR resembles the head of a worldwide average human and BHead210 replicates the head of an average Chinese. Our preliminary results show significant differences in sound localization performance between the two dummy heads. The localization performance, especially on the frontal plane, of BHead210-collected HRTF is better than KEMAR for Chinese subjects. We believe BHead210 is more suitable for Chinese in HRTF-based virtual auditory applications.

关键词： HRTF Dummy head Virtual auditory Binaural synthesis KEMAR BHead210

来源：评论

学校读者我要写书评

暂无评论

A method to determine the hyper-parameter range for tuning RBF support vector machines

A method to determine the hyper-parameter range for tuning R...

引用

2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010

作者： Duan, Huichuan Wang, Ruijin Liu, Xiyu Liu, Hong School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China School of Management Shandong University Jinan China School of Management and Economy Shandong Normal University Jinan China

ISBN: (纸本)9781424471614

A method to determine (Cγ), the hyper-parameters, range for Radial Basis Function Support Vector Machines (RBF SVMs) is proposed. The γ range is determined by the extreme Squared Euclidean Distance (SED) quantiles of the training set, and the C range is determined by one pass whole training set training decreasingly along logγmax to the over-regularized limit first and increasingly along logγmedian to the over-fitted limit then. We will report detailed analysis and experiments that well justify the proposed method. The major contribution of this method lies in that it provides a well principled and easy to practice way to set a much smaller (Cγ) space and hence efficient range for the conventional Grid Search with V-fold Cross-Validation (GS V-FCV) exhaustive hyper-parameter tuning method. Performance tests reveal that training SVMs using GS V-FCV in the (Cγ) range determined by the proposed method can effectively reduce the tuning time while the exhaustive capability and best test error rate are still preserved. ©2010 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

An Efficiently Method for Recognizing 3D Face Based on Constructed Character

An Efficiently Method for Recognizing 3D Face Based on Const...

引用

2010 2nd International Conference on computer Engineering and technology(2010年第二届计算机工程与技术国际会议 ICCET 2010)

作者： Lin ZengGang Zhang YanNing Guo Zhe Shaanxi Provincial Key Laboratory of Speech & Image Information Processing School of Computer ScienceNorthwestern Polytechnical UniversityXi'anChina710129

ISBN: (纸本)9781424463473

In order to eliminate the effect of the facial expression,and also improve the accuracy of the three dimensional (3D) face recognition,a new 3D face recognition method is proposed in this paper. First,segmenting the key regions and curves which are free from the facial and fully characterize the face; second,resampling curves and regions to uniform the data precision; third,processing data to extract the feature; finally,matching the features of curves and regions to identify 3D face. The Experiment results in actual 3D face database demonstrate the availability and effectiveness of the presented method.

关键词： 3D Face Recognition:Coordinate Normalization Resampling:Fourier Transform

来源：评论

学校读者我要写书评

暂无评论

Research and application of extension rough formal concept mining algorithm based on dynamic co-evolution

引用

Journal of Information and Computational science 2010年第12期7卷 2377-2384页

作者： Ding, Weiping Wang, Jiandong Duan, Weihua Guan, Zhijing College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China School of Computer Science and Technology Nantong University Nantong 226019 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

A quick and effective extension rough formal concept mining algorithm named DCO-ERFC based on dynamic co-evolution is put forward in this paper. Firstly, some electronic patient records are converted into different records in order to further be classified, reduced and pre-processed according to special features of medical records. Secondly, the rough concept lattice and extension transformation knowledge are related, and a dynamic cooperative extension decision rule lattice is constructed. It can well reduce the mutative knowledge attributions in the database and mine all no redundancy disease diagnosis rules by avoiding finding frequency items. Finally DCO-ERFC algorithm is applied in some experiments of UCI data sets and real medical database. The results show that DCO-ERFC algorithm can well extract helpful medical diagnosis rules, and it is better than other algorithms on the collaborative mining capability. © 2010 Binary Information Press.

关键词： Diagnosis

来源：评论

学校读者我要写书评

暂无评论

Reduction method of regression testing requirements based on relation mode

Reduction method of regression testing requirements based on...

引用

International Conference on Computational Intelligence and Software Engineering

作者： Chen, Jing Wang, Lu Bai, Zhiquan Xu, Yongjie Software Testing Center Shandong Provincial Key Laboratory of Computer Network Jinan China Software Development Center Shandong Zhengfangrenhe Information Technology Co. Ltd. Jinan China School of Information Science and Engineering Shandong University Jinan China

ISBN: (纸本)9781424453924

The variations in testing requirements often result in the problem of numerous test cases and low efficiency in regression testing. To solve this problem, a reduction method of testing requirements is proposed based on the relation mode in this paper. This method analyzes the relationship between the modules and testing requirements, then determines the varied regression testing requirements, and gets the final testing requirement set by reduction of the varied regression testing requirement set and the original testing requirement set in three times. If test cases are generated and reduced on the basis of the testing requirement reduction set, the efficiency of the regression testing will be improved. ©2010 IEEE.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

A novel hybrid approach for incomplete knowledge system mining based on approximate rough entropy lattice

引用

Journal of Computational Information Systems 2010年第5期6卷 1651-1659页

作者： Ding, Weiping Wang, Jiandong Zhu, Hao Guan, Zhijing Shi, Quan College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China School of Computer Science and Technology Nantong University Nantong 226019 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Based on some special advantages of both rough set analysis in knowledge reduction and formal concept analysis in formal concept representation, a novel hybrid approach for incomplete knowledge system mining based on approximate rough entropy concept is presented in this paper. First of all, the incomplete information system is transformed into the complete knowledge one by the attribute reduction of condition entropy. Secondly, the approximate condition entropy lattice mining model is constructed and all approximate knowledge rules are extracted from superconcept-subconcept relations implied in the formal context. Experiments on the UCI data sets show this approach is better on the knowledge reduction and mining capability. Copyright © 2010 Binary Information Press May, 2010.

关键词： Formal concept analysis

来源：评论

学校读者我要写书评

暂无评论

The research on portfolio optimization model and strategy for multiple objectives

The research on portfolio optimization model and strategy fo...

引用

IEEE Symposium on Web Society, SWS

作者： Zhaoxia Shang Hong Liu School of Information Science and Engineering Shandong Provincial Key Laboratory of Distributed Computer Software Novel Technology Shandong Normal University China

Application of multi-objective optimization method, the issue of portfolio risk is analyzed and simulated and the feasibility of the scheme is validated under the uncertain investment environment. Proposed the use of multi-objective optimization genetic algorithm portfolio risk measurement methods, this work educe the estimation Model of Risk-Minimization for Portfolio Investment Using such as Benefits and risks as Target, then gives a specific evolutionary algorithm, and finally, a simulation example.

关键词： Investments Portfolios Optimization Mathematical model Computational modeling Minimization Industries

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：