检索结果-内蒙古大学图书馆

Congress on Evolutionary Computation

作者： Houssem Chatbri Paul Kwan Keisuke Kameyama Department of Computer Science University of Tsukuba Tsukuba City Japan School of Science and Technology University of New England Armidale NSW Australia Faculty of Engineering Information and Systems University of Tsukuba Japan

Query spotting in document images is a subclass of Content-Based Image Retrieval (CBIR) algorithms concerned with detecting occurrences of a query in a document image. Due to noise and complexity of document images, spotting can be a challenging task and easily prone to false positives and partially incorrect matches, thereby reducing the overall precision of the algorithm. A robust and accurate spotting algorithm is essential to our current research on sketch-based retrieval of digitized lecture materials. We have recently proposed a modular spotting algorithm in [1]. Compared to existing methods, our algorithm is both application-independent and segmentation-free. However, it faces the same challenges of noise and complexity of images. In this paper, inspired by our earlier research on optimizing parameter settings for CBIR using an evolutionary algorithm [2][3], we introduce a Genetic Algorithm-based optimization step in our spotting algorithm to improve each spotting result. Experiments using an image dataset of journal pages reveal promising performance, in that the precision is significantly improved but without compromising the recall of the overall spotting result.

关键词： Genetic algorithms Feature extraction Biological cells Vectors Image segmentation Optimization Shape

来源：评论

学校读者我要写书评

暂无评论

Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

引用

Nature genetics 2019年第7期51卷 1192-1193页

作者： Rainer Malik Ganesh Chauhan Matthew Traylor Muralidharan Sargurupremraj Yukinori Okada Aniket Mishra Loes Rutten-Jacobs Anne-Katrin Giese Sander W van der Laan Solveig Gretarsdottir Christopher D Anderson Michael Chong Hieab H H Adams Tetsuro Ago Peter Almgren Philippe Amouyel Hakan Ay Traci M Bartz Oscar R Benavente Steve Bevan Giorgio B Boncoraglio Robert D Brown Adam S Butterworth Caty Carrera Cara L Carty Daniel I Chasman Wei-Min Chen John W Cole Adolfo Correa Ioana Cotlarciuc Carlos Cruchaga John Danesh Paul I W de Bakker Anita L DeStefano Marcel den Hoed Qing Duan Stefan T Engelter Guido J Falcone Rebecca F Gottesman Raji P Grewal Vilmundur Gudnason Stefan Gustafsson Jeffrey Haessler Tamara B Harris Ahamad Hassan Aki S Havulinna Susan R Heckbert Elizabeth G Holliday George Howard Fang-Chi Hsu Hyacinth I Hyacinth M Arfan Ikram Erik Ingelsson Marguerite R Irvin Xueqiu Jian Jordi Jiménez-Conde Julie A Johnson J Wouter Jukema Masahiro Kanai Keith L Keene Brett M Kissela Dawn O Kleindorfer Charles Kooperberg Michiaki Kubo Leslie A Lange Carl D Langefeld Claudia Langenberg Lenore J Launer Jin-Moo Lee Robin Lemmens Didier Leys Cathryn M Lewis Wei-Yu Lin Arne G Lindgren Erik Lorentzen Patrik K Magnusson Jane Maguire Ani Manichaikul Patrick F McArdle James F Meschia Braxton D Mitchell Thomas H Mosley Michael A Nalls Toshiharu Ninomiya Martin J O'Donnell Bruce M Psaty Sara L Pulit Kristiina Rannikmäe Alexander P Reiner Kathryn M Rexrode Kenneth Rice Stephen S Rich Paul M Ridker Natalia S Rost Peter M Rothwell Jerome I Rotter Tatjana Rundek Ralph L Sacco Saori Sakaue Michele M Sale Veikko Salomaa Bishwa R Sapkota Reinhold Schmidt Carsten O Schmidt Ulf Schminke Pankaj Sharma Agnieszka Slowik Cathie L M Sudlow Christian Tanislav Turgut Tatlisumak Kent D Taylor Vincent N S Thijs Gudmar Thorleifsson Unnur Thorsteinsdottir Steffen Tiedt Stella Trompet Christophe Tzourio Cornelia M van Duijn Matthew Walters Nicholas J Wareham Sylvia Wassertheil-Smoller James G Wilson Kerri L Wiggins Qiong Yang Salim Yusuf Joshua C Bis Tomi Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Munich Germany. Centre for Brain Research Indian Institute of Science Bangalore India. INSERM U1219 Bordeaux Population Health Research Center University of Bordeaux Bordeaux France. Stroke Research Group Division of Clinical Neurosciences University of Cambridge Cambridge UK. Department of Neurology Institute for Neurodegenerative Disease Bordeaux University Hospital Bordeaux France. Laboratory for Statistical Analysis RIKEN Center for Integrative Medical Sciences Yokohama Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Osaka Japan. Laboratory of Statistical Immunology Immunology Frontier Research Center (WPI-IFReC) Osaka University Suita Japan. Department of Neurology Massachusetts General Hospital (MGH) Harvard Medical School Boston MA USA. Laboratory of Experimental Cardiology Department of Cardiology Division of Heart and Lungs University Medical Center Utrecht University of Utrecht Utrecht the Netherlands. deCODE genetics/AMGEN Inc. Reykjavik Iceland. Center for Genomic Medicine MGH Boston MA USA. J. Philip Kistler Stroke Research Center Department of Neurology MGH Boston MA USA. Program in Medical and Population Genetics Broad Institute Cambridge MA USA. Population Health Research Institute McMaster University Hamilton Ontario Canada. Department of Epidemiology Erasmus University Medical Center Rotterdam the Netherlands. Department of Radiology and Nuclear Medicine Erasmus University Medical Center Rotterdam the Netherlands. Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan. Department of Clinical Sciences Lund University Malmö Sweden. INSERM Institut Pasteur de Lille LabEx DISTALZ-UMR1167 Risk Factors and Molecular Determinants of Aging-Related Diseases Université Lille Lille France. Centre Hospitalier Université Lille Epidemiology and Public Health D

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Granular cognitive map reconstruction adjusting granularity parameters

Granular cognitive map reconstruction adjusting granularity ...

引用

16th International Conference on Enterprise information systems, ICEIS 2014

作者： Homenda, Wladyslaw Jastrzebska, Agnieszka Pedrycz, Witold Faculty of Mathematics and Information Science Warsaw University of Technology ul. Koszykowa 75 00-662 Warsaw Poland Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland Department of Electrical and Computer Engineering University of Alberta Edmonton T6R 2G7 AB Canada

ISBN: (纸本)9789897580284

The objective of this paper is to present developed methodology for Granular Cognitive Map reconstruction. Granular Cognitive Maps model complex imprecise systems. With a proper adjustment of granularity parameters, a Granular Cognitive Map can represent given system with good balance between generality and specificity of the description. The authors present a methodology for Granular Cognitive Map reconstruction. The proposed approach takes advantage of granular information representation model. The objective of optimization is to readjust granularity parameters in order to increase coverage of targets by map responses. In this way we take full advantage of the granular information representation model and produce better, more accurate map, which maintains exactly the same balance between generality and specificity. Proposed methodology reconstructs Granular Cognitive Map without loosing its specificity. Presented approach is applied in a series of experiments that allow evaluating quality of reconstructed maps. Copyright © 2014 SCITEPRESS - Science and technology Publications.

关键词： Fuzzy Cognitive Maps

来源：评论

学校读者我要写书评

暂无评论

Granular Cognitive Maps Reconstruction

Granular Cognitive Maps Reconstruction

引用

IEEE International Conference on Fuzzy systems

作者： Wladyslaw Homenda Agnieszka Jastrzebska Witold Pedrycz Faculty of Mathematics and Computer Science University of Bialystok Bialystok Poland Faculty of Mathematics and Information Science Warsaw University Technology Warsaw Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical & Computer Engineering University of Alberta Edmonton AB Canada

Cognitive Maps are abstract knowledge representation framework, suitable to model complex systems. Cognitive Maps are visualized with directed graphs, where nodes represent phenomena and edges represent relationships. Granular Cognitive Maps are augmented Cognitive Maps, which use knowledge granules as information representation model. Conceptually, GCMs originated as an extension of Fuzzy Cognitive Maps. The contribution presented in this paper is a methodology for Granular Cognitive Map reconstruction. The goal of the procedure is to construct a weights matrix - and thereby the GCM, which outputs best describe the phenomena of interest. The article addresses the conflict between generality and specificity of various Granular Cognitive Maps. Balance between generality and specificity is the most important architectural aspect of a model built with knowledge granules. A series of experiments illustrates, how various optimization techniques allow improvement in map's quality without a loss in map's precision.

关键词： Optimization Computational modeling Adaptation models information representation Linear matrix inequalities Matrix decomposition Data models

来源：评论

学校读者我要写书评

暂无评论

Abstracts from the 8th International Congress of the Asia Pacific Society of Infection Control (APSIC)

引用

Antimicrobial Resistance & Infection Control 2017年第2期6卷 1-49页

作者： Nantanit Sutthiruk Mari Botti Ana Hutchinson Julie Considine Andrea Driscoll Kumthorn Malathum Cucunawangsih Cucunawangsih Veronica Wiwing Vivien Puspitasari Rathina Kumar Shanmugakani Yukihiro Akeda Kazunori Tomono Takuya Kodera Pitak Santanirand Takayuki Yamanaka Yuho Horikoshi Hiroyuki Moriuchi Hiroyuki Kitajima Alyona Lavrinenko Nurlan Tabriz Margulan Kozhamuratov Yekatherine Serbo Ilya Azizov Dahae Yang Woonhyoung Lee Il Kwon Bae Jae Hyun Lee Hyukmin Lee Jung Ok Kim Seok Hoon Jeong Kyungwon Lee Thiba Peremalo Sharina Hamzah Priya Madhavan Eng Hwa Wong Leslie Than Mohd Nasir Mohd Desa Kee Peng Ng Marionne Geronimo Maria Fe Tayzon Maria Jesusa Maño Angela Chow Pei-Yun Hon Mar-Kyaw Win Brenda Ang Yee-Sin Leo Tina See Rocio Alvarez Marin Nicolas Kieffer Patrice Nordmann Laurent Poirel Marta Aires de Sousa Wison Laochareonsuk Sireekul Petyu Pawin Wanasitchaiwat Sutasinee Thana Chollathip Bunyaphongphan Woranan Boonsomsuk Pakpoom Maneepongpermpoon Silom Jamulitrat Dorairajan Sureshkumar Kalyanaraman Supraja Soundararajan Sharmila Benny Setiawan Nicolaski Lumbuun Haruo Nakayama Toshiko Ota Naoko Shirane Chikako Matuoka Kentaro Kodama Masanobu Ohtsuka Silverose Ann Andales Bacolcol Melecia Velmonte Allan Alde Keithleen Chavez Arlene Joy Esteban Aisa Jensen Lee Shio-ShinJean Tai-Chin Hsieh Huey-Jen Huang Shu-Ju Huang Yu-Huan Huang Pei-Chen Cheng Su-Fang Yu Shih-Ming Tsao Yuan-Ti Lee Chien-Feng Li Min-Chi Lu Nattapol Pruetpongpun Thana Khawcharoenporn Pansachee Damronglerd Nuntra Suwantarat Anucha Apisarnthanarak Sasinuch Rutjanawech Lisa Cushinotto Patty McBride Harding Williams Jr Hans Liu Phan Thi Hang Dinh Pham Phuong Anh Ngai Le Dung Khu Lam Nguyen Roel Beltran Castillo Ram Gopalakrishnan Venkatasubramanian Ramasubramanian Subramanian Sreevidya Ranganathan Jayapradha Atsushi Umetsu Tetsuhiro Noda Kenyuu Hashimoto Akihiro Hayashi Mikie Kabashima Ursula Jadczak Knut Elvelund Marit Johnsen Bente Borgen Egil Lingaas Chia-Hua Mao Fu-Chieh Chang Chang-Pan Liu Ru-Hui Chao Fu-chieh Chang Chang-pan Liu Junpen Pawapotako C Deakin University Melbourne Australia Epworth HealthCare Deakin University Melbourne Australia Eastern Health Deakin University Melbourne Australia Austin Health Deakin University Melbourne Australia Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand Ramathibodi Hospital Bangkok Thailand Faculty of Medicine Ramathibodi Hospital Bangkok Thailand Microbiology Department Faculty of Medicine Pelita Harapan University Tangerang Banten Indonesia Department of Microbiology Faculty of Medicine University of Pelita Harapan Tangerang Banten Indonesia Neuro Department Faculty of Medicine Pelita Harapan University Tangerang Banten Indonesia Department of Infection Control and Prevention Graduate School of Medicine Osaka University Osaka Japan Division of Infection Control and Prevention Osaka University Hospital Osaka Japan Research Institute for Microbial Diseases Osaka University Osaka Japan Tohoku Bio-Array Sendai Japan Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand Division of Infectious Diseases Department of Pediatrics Tokyo Metropolitan Children’s Medical Center Fuchu Tokyo Japan Department of Pediatrics Nagasaki University Hospital Nagasaki Japan Department of Neonatal Medicine Osaka Medical Center and Research Institute for Maternal and Child Health Osaka Japan Karaganda State Medical University Karaganda Kazakhstan Institute of Antimicrobial Chemotherapy Smolensk Russia Institute of Antimicrobial Chemotherapy Smolensk Russian Federation Department of Laboratory Medicine Kosin University College of Medicine Busan Korea Department of Dental Hygiene Silla University Busan Korea Yeongam-gun Public Health Center Yeongam Korea Department of Laboratory Medicine and Research Institute of Bacterial Resistance Yonsei University College of Medicine Seoul Korea School of Pharmacy Taylor’s University Lakeside Campus Subang Jaya Selangor Darul Ehsan Malaysia School of Medicine Taylor’s Univers

来源：评论

学校读者我要写书评

暂无评论

Signature-based multi-layer distributed intrusion detection system using mobile agents

引用

International Journal of Network Security 2013年第2期15卷 97-105页

作者： Uddin, Mueen Rehman, Azizah Abdul Uddin, Naeem Memon, Jamshed Alsaqour, Raed Kazi, Suhail Faculty of Computer Engineering and Technology Asia Pacific University of Technology and Innovation Bukit Jalil 57000 Kuala Lumpur Malaysia Department of Information System Faculty of Computer Science and Information Systems Universiti Technologi Malaysia 81310 Skudai Johor Malaysia School of Computer Science Faculty of Information Science and Technology University Kebangsaan Malaysia 43600 Bangi Selangor Malaysia Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia

The Internet and computer networks are exposed to an increasing number of security threats. With new types of attacks appearing continually, developing flexible and adaptive security oriented approaches is a severe challenge. Intrusions detection systems (IDSs) are systems that try to detect attacks as they occur or after the attacks took place. IDSs collect network traffic information from some point on the network or computer system and then use this information to secure the network. In this context, signature-based network intrusion detection techniques are a valuable technology to protect target systems and networks against malicious activities. Signature-based detection is the most extensively used threat detection technique for (IDSs). One of the foremost challenges for signature-based IDSs is how to keep up with large volume of incoming traffic when each packet needs to be compared with every signature in the database. When an IDS cannot keep up with the traffic flood, all it can do is to drop packets, therefore, may miss potential attacks. This paper proposes a new model called Signature-based Multi-Layer IDS using mobile agents, which can detect imminent threats with extremely high success rate by dynamically and automatically creating and using small and efficient multiple databases, and at the same time, provide mechanism to update these small signature databases at regular intervals using mobile agents.

关键词： Mobile agents

来源：评论

学校读者我要写书评

暂无评论

On interpretation of fuzzy cognitive maps trained to model time series

On interpretation of fuzzy cognitive maps trained to model t...

引用

World Congress on information and Communication Technologies (WICT)

作者： Wladyslaw Homenda Agnieszka Jastrzebska Witold Pedrycz Faculty of Economics and Informatics in Vilnius University of Bialystok Vilnius Lithuania Faculty of Mathematics and Information Science Warsaw University Technology Warsaw Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical & Computer Engineering University of Alberta Edmonton Canada

The article analyzes consecutive phases of time series modelling with Fuzzy Cognitive Maps. The subject of interest are features determining models of good quality. First, we present the procedure: design phase, learning phase, and in the end - application. The discussion is illustrated with experiments on two synthetic time series. We have shown that the design phase determines qualitative and quantitative effectiveness of modelling. We have addressed effects of misdesigns: too large, too small or unfit at all maps on modelling quality.

关键词： Time series analysis Fuzzy cognitive maps Analytical models Biological system modeling Couplings Bibliographies Numerical models

来源：评论

学校读者我要写书评

暂无评论

Classification with a limited space of features: Improving quality by rejecting misclassifications

Classification with a limited space of features: Improving q...

引用

World Congress on information and Communication Technologies (WICT)

作者： Wladyslaw Homenda Agnieszka Jastrzebska Witold Pedrycz Radoslaw Piliszek Faculty of Economics and Informatics in Vilnius University of Bialystok Vilnius Lithuania Faculty of Mathematics and Information Science Warsaw University Technology Warsaw Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical & Computer Engineering University of Alberta Edmonton Canada

Classification, especially in the case of a small space of features, is prone to errors. This is more important when it is costly to gain data from samples to calculate the values for futures. We study what effect limiting the space of features has on the performance of built classifiers and how the quality of classification can be improved by rejecting misclassified elements.

关键词： Support vector machines Accuracy Vegetation computer architecture Training Vectors Symmetric matrices

来源：评论

学校读者我要写书评

暂无评论

Five two-qubit gates are necessary for implementing the Toffoli gate

引用

Physical Review A 2013年第1期88卷 010304(R)-010304(R)页

作者： Nengkun Yu Runyao Duan Mingsheng Ying State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China and Center for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney New South Wales 2007 Australia

In this Rapid Communication, we consider the open problem of the minimum cost of two-qubit gates for simulating the Toffoli gate and show that five two-qubit gates are necessary. Before our work, it was known that five two-qubit gates are sufficient to implement the Toffoli gate, and numerical evidence indicates that five two-qubit gates are also necessary. The idea introduced here can also be used to solve the problem of optimal simulation of Deutsch three-qubit gates.

关键词： QUBITS QUANTUM gates QUANTUM communication NUMERICAL analysis PROBLEM solving SIMULATION methods & models

来源：评论

学校读者我要写书评

暂无评论

Cloudsme: Developing a cloud computing-based platform for simulation in manufacturing and engineering

Cloudsme: Developing a cloud computing-based platform for si...

引用

2014 Operational Research Society Simulation Workshop, SW 2014

作者： Taylor, Simon J. E. Kiss, Tamas Kacsuk, Peter Terstyanszky, Gabor Nicola, Fantini Department of Information Systems and Computing Brunel University Uxbridge MiddlesexUB8 3PH United Kingdom Centre for Parallel Computing Department of Business Information Systems University of Westminster 115 New Cavendish St LondonW1W 6UW United Kingdom MTA SZTAKI Victor Hugo u. 18-22 Budapest1132 Hungary Department of Computer Science and Software Engineering Faculty of Science and Technology University of Westminster LondonW1W 6UW United Kingdom Huobstrasse 10 Pfäffikon8808 Switzerland

There is a demand from simulation users for speed, the ability to obtain quickly results from simulation runs. Cloud computing offers the potential for scalable, on-demand access to resources that can be used to speed up simulation. However, developing cloud computing solutions for industry is difficult without appropriate expertise. This paper introduces the CloudSME project that is dedicated to developing cloud computing solutions for simulation in industry and presents an overview of the CloudSME Simulation Platform that is being used to support an initial set of Cloud-based versions of Simul8's discrete-event simulation environment, Ascomp's TransAT computational fluid dynamics application, Ingecon's 3D Scan Insole Designer tool and 2MORO's Bfly software for aircraft maintenance logistics. The paper presents an overview of cloud computing, the CloudSME project, the architecture of the CloudSME Simulation Platform and its two key elements: gUse and CloudBroker.

关键词： Discrete event simulation

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：