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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Shurui Qin Yuanhua Qiao Jun Miao Lijuan Duan College of Applied Science Beijing University of Technology Beijing 100124 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad College of Computer Science Beijing University of Technology Beijing 100124 China

The dynamics of a neuronal network often involves time delay due to the finite signal propagation speed in biological *** this paper,we make some analysis on the FitzHugh-Nagumo model with coupling delay and then inve... 详细信息

ISBN: (纸本)9781467329705

关键词： FitzHugh-Nagumo model neural network synchronization time delay

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Using Chou’s Pseudo Amino Acid Composition for Protein Remote Homology Detection

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Engineering（科研） 2013年第10期5卷 149-153页

作者： Bin Liu Xiaolong Wang School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China Shanghai Key Laboratory of Intelligent Information Processing Shanghai China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China

Protein remote homology detection is a key problem in bioinformatics. Currently, the discriminative methods, such as Support Vector Machine (SVM), can achieve the best performance. The most efficient approach to improve the performance of the SVM-based methods is to find a general protein representation method that is able to convert proteins with different lengths into fixed length vectors and captures the different properties of the proteins for the discrimination. The bottleneck of designing the protein representation method is that native proteins have different lengths. Motivated by the success of the pseudo amino acid composition (PseAAC) proposed by Chou, we applied this approach for protein remote homology detection. Some new indices derived from the amino acid index (AAIndex) database are incorporated into the PseAAC to improve the generalization ability of this method. Our experiments on a well-known benchmark show this method achieves superior or comparable performance with current state-of-the-art methods.

关键词： Protein Remote Homology Support Vector Machine Pseudo Amino Acid Composition Protein Representation

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Boundedness of Hyper-Singular Parametric Marcinkiewicz Integrals with Variable Kernels

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Applied Mathematics 2013年第11期4卷 28-34页

作者： Qiquan Fang Xianliang Shi College of Mathematics and Computer Science Hunan Normal University Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China) Hunan Normal University Changsha China Department of Mathematics Zhejiang University of Science and TechnologyHangzhou China

In this article, we consider the boundedness of? on Hardy type space? .

关键词： Hyper-Singular Marcinkiewicz Integral Variable Kernel Multilinear Commutator Hardy Type Space

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A Fast Calculation of Metric Scores for Learning Bayesian Network

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International Journal of Automation and computing 2012年第1期9卷 37-44页

作者： Qiang Lv Xiao-Yan Xia Pei-De Qian School of Computer Science and Technology Soochow University Suzhou 215006 PRC Jiangsu Provincial Key Lab for Computer Information Processing Technology Suzhou 215006 PRC

Frequent counting is a very so often required operation in machine learning algorithms. A typical machine learning task, learning the structure of Bayesian network （BN） based on metric scoring, is introduced as an example that heavily relies on frequent counting. A fast calculation method for frequent counting enhanced with two cache layers is then presented for learning BN. The main contribution of our approach is to eliminate comparison operations for frequent counting by introducing a multi-radix number system calculation. Both mathematical analysis and empirical comparison between our method and state-of-the-art solution are conducted. The results show that our method is dominantly superior to state-of-the-art solution in solving the problem of learning BN.

关键词： Frequent counting radix-based calculation ADtree learning Bayesian network metric score

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Near Optimal Charging and Scheduling Scheme for Stochastic Event Capture with Rechargeable Sensors

Near Optimal Charging and Scheduling Scheme for Stochastic E...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Haipeng Dai Lintong Jiang Xiaobing Wu David K.Y. Yau Guihai Chen Shaojie Tang State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu CHINA Department of Computer Science Purdue University West Lafayette IN USA Department of Computer and Information Science Temple University Philadelphia USA

Though much existing work exploits wireless power charging to enhance sensor network performance such as routing and data aggregation, few efforts focus on issues of stochastic event capture. In this paper, we consider the scenario in which a mobile charger (MC) periodically travels within a sensor network to recharge the sensors wirelessly, to maximize the Quality of Monitoring (QoM) for stochastic events. Towards this goal, two closely related research issues need to be addressed. One is how to choose the sensors for charging and decide the charging time for each of them, the other is how to best schedule the sensors' activation schedules according to their received energy. In this paper, we jointly design the charging scheme and sensor schedules to maximize the QoM. We formulate our problem formally as the maximum QoM charging and scheduling problem (MQCSP). Obtaining an exact solution of MQCSP is challenging. Thus we first ignore the MC's travel time and study the resulting relaxed version of MQCSP, R-MQCSP. We show both MQCSP and R-MQCSP are NP-hard. For R-MQCSP, however, under a special condition, we prove that it can be formulated as a sub modular function maximization problem. This formulation allows a 1/6-approximation algorithm for the general case, and a unified algorithm with a series of approximation factors (up to 1-1/e) for a special case. Then, for MQCSP, we propose approximation algorithms by extending our R-MQCSP results. Finally, we conduct extensive trace-driven simulations to validate our algorithm design. The empirical results corroborate our theoretical analysis.

关键词： Schedules Silicon Approximation methods Time factors Approximation algorithms Monitoring Wireless sensor networks

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Influences of surface effects and large deformation on the resonant properties of ultrathin silicon nanocantilevers

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Chinese Physics B 2012年第1期21卷 363-373页

作者： Zhang Jia-Hong Li Min Gu Fang Liu Qing-Quan Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science&TechnologyNanjing 210044China College of Math&Physics Nanjing University of Information Science&TechnologyNanjing 210044China

The purpose of the present work is to quantify the influences of the discrete nature, the surface effects, and the large deformation on the bending resonant properties of long and ultrathin （100） silicon nanocantilevers. We accomplish this by using an analytical semi-continuum Keating model within the framework of nonlinear, finite deformation kinematics. The semi-continuum model shows that the elastic behaviors of the silicon nanocantilevers are size-dependent and surface- dependent, which agrees well with the molecular dynamics results. It also indicates that the dominant effect on the fundamental resonant frequency shift of the silicon nanocantilever is adsorption-induced surface stress, followed by the discrete nature and surface reconstruction, whereas surface relaxation has the least effect. In particular, it is found that a large deformation tends to increase the nonlinear fundamental frequency of the silicon nanocantilever, depending not only on its size but also on the surface effects. Finally, the resonant frequency shifts due to the adsorption-induced surface stress predicted by the current model are quantitatively compared with those obtained from the experimental measurement and the other existing approach. It is noticed that the length-to-thickness ratio is the key parameter that correlates the deviations in the resonant frequencies predicted from the current model and the empirical formula.

关键词： resonant properties elastic properties surface effects silicon nanocantilevers

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A pragmatic method for Chinese collocation extraction

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ICIC Express Letters, Part B: Applications 2013年第5期4卷 1417-1423页

作者： Qu, Weiguang Zhou, Junsheng Tang, Xuri Gu, Yanhui Li, Bin Jiangsu Research Center of Information Security and Privacy Technology Nanjing Normal University No. 1 Wenyuan Road Nanjing 210023 China School of Computer Science and Technology Nanjing Normal University No. 1 Wenyuan Road Nanjing 210023 China State Key Laboratory for Novel Software Technology Nanjing University No. 163 Xianlin Ave. Qixia District Nanjing 210046 China College of Foreign Studies Wuhan Textile University No. 1 Fangzhi Road Wuhan 430073 China School of Chinese Language and Literature Nanjing Normal University No. 122 Ninghai Road Nanjing 210097 China

This paper proposes a seed-based approach for collocation extraction. The approach uses RFR_SUM model to iteratively classify polysemous word senses in the corpus. The syntactic relation inside collocations is captured via a frame-based collocation extraction method, which uses word-related frames to automatically obtain collocation with structural information from large-scale corpus. Case study shows that the framework is feasible to collocation extraction. © 2013 ISSN 2185-2766.

关键词： Iterative methods

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Spectral Distance Distributions for Non-rigid Objects

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computer Aided Drafting,Design and Manufacturing 2013年第2期23卷 17-24页

作者： CAO Wei-guo Li Hai-yang LI Shi-rui LIU Yu-jie LI Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China School of Computer Science and Communication Engineering China University of Petroleum Qingdao 266555 China.

Non-rigid shape deformation without tearing or stretching is called isometry. There are many difficulties to research non-rigid shape in Euclidean space. Therefore, non-rigid shapes are firstly embedded into a none-Euclidean space. Spectral space is chosen in this paper. Then three descriptors are proposed based on three spectral distances. The existence of zero-eigenvalue has negative effects on computation of spectral distance, Therefore the spectral distance should be computed from the first non-zcro-eigenvalue. Experiments show that spectral distance distributions are very effective to describe the non-rigid shapes.

关键词： non-rigid shape analysis pattern recognization isometry Laplace-Beltrami operator spectrum

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Contourlet HMT model with directional feature

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Science China(information Sciences) 2012年第7期55卷 1563-1578页

作者： WANG XiangHai 1,2,3 ,CHEN MingYing 1 ,SONG ChuanMing 1,2 ,XU MengChun 1 & FANG LingLing 3 1 College of computer and information technology,Liaoning Normal University,Dalian 116029,China 2 State key laboratory for Novel Software technology,Nanjing University,Nanjing 210093,China 3 Provincial key laboratory for computer information processing technology,Soochow University,Suzhou 215006,China College of Computer and Information Technology Liaoning Normal University Dalian China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

According to Shanno's information theory,the directional feature of texture is defined as the value of directional variable when an image signal attains a singularity of random *** terms of this definition,we calculate the texture's directional features using Tamura's method and study the directional probability distribution of Contourlet *** we find that the directional features tend to be conveyed across parent and child *** on this conclusion,we establish a novel probability distribution model of hidden direction variables under the condition of hidden state variable's distribution,named Contourlet HMT model with directional *** structure and training method of the model are presented as ***,an unsupervised context-based image segmentation algorithm is proposed on the basis of the proposed *** effectiveness is verified via extensive experiments carried out on several synthesized images and remote sensing images.

关键词： directional feature Contourlet HMT Contourlet HMT with directional feature unsupervised texture segmentation

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Measurement of the ZZ Production Cross Section in pp Collisions at s=13 TeV with the ATLAS Detector

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Physical Review Letters 2016年第10期116卷 101801-101801页

作者： G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. M. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat A. Basye R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Bauer H. S. Ba CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sez

The ZZ production cross section in proton-proton collisions at 13 TeV center-of-mass energy is measured using 3.2 fb−1 of data recorded with the ATLAS detector at the Large Hadron Collider. The considered Z boson candidates decay to an electron or muon pair of mass 66–116 GeV. The cross section is measured in a fiducial phase space reflecting the detector acceptance. It is also extrapolated to a total phase space for Z bosons in the same mass range and of all decay modes, giving 16.7−2.0+2.2(stat)+0.9−0.7(syst)+1.0−0.7(lumi) pb. The results agree with standard model predictions.

关键词： Electroweak interaction Particle production W & Z bosons Hadron colliders Multi-purpose particle detectors

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