检索结果-内蒙古大学图书馆

Difference transform and its application to multi-focus image fusion

Journal of Computational Information Systems 2014年第10期10卷 4245-4252页

作者： Zhang, Xiaoli Li, Xiongfei Feng, Yuncong Zhao, Haoyu Liu, Zhaojun Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education Jilin University Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China College of Software Jilin University Changchun 130012 China

We propose a new multi-focus image fusion algorithm which is based on Difference Transform (DT). In this paper, we investigate the use of Difference Transform in image focus detection in Laplacian Pyramid and Discrete Wavelet domain. The interests of the transform involve easy implementation and intuition. The multi-focus image fusion algorithm based on DT includes three steps: decomposition, coefficients combination and reconstruction. DT is adopted in the second step to select coefficients in high frequency sub-bands. We test the fusion algorithms on a group of widely used testing images, and the results indicate that DT-based image fusion algorithms are good alternatives. 1553-9105/Copyright © 2014 Binary Information Press.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

A new model for image fusion using bi-dimensional empirical mode decomposition with directional information

引用

Journal of Information and Computational Science 2014年第10期11卷 3461-3468页

作者： Zhao, Haoyu Zhang, Xiaoli Li, Xiongfei Zang, Xuebai Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education Jilin University Changchun 130012 China College of Software Jilin University Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China

Image fusion is a procedure in which two or more images of one scene captured by different sensors are combined into one image. The target of image fusion is to produce images which are more suitable for human visual perception and further machine-processing. Empirical Mode Decomposition (EMD) is a new tool for signal (especially non-stationary signal) analysis. Comparing to other multi-scale transforms, EMD is more suitable for detecting information of images. Therefore, we propose a new model for image fusion based on Bi-dimension EMD (BEMD). In addition, considering that the existing BEMD can hardly capture the directional information which is important for image fusion, directional filter bank will be employed to run on each level coefficients in the step of image decomposition. The proposed method is tested on medical images and compared with some newly-proposed image fusion models. The experimental results show that the proposed method outperforms others in terms of several fusion evaluation metrics. 1548-7741/Copyright © 2014 Binary Information Press.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

引用

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

来源：评论

学校读者我要写书评

暂无评论

Implicit knowledge discovery in biomedical ontologies: Computing interesting relatednesses

Implicit knowledge discovery in biomedical ontologies: Compu...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Tian Bai Leiguang Gong Casimir A. Kulikowski Lan Huang Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Jilin University Changchun China Yantai Intelligent Information Technologies Ltd. Yantai China Department of Computer Science Rutgers The State University of New Jersey Piscataway NJ USA

Ontologies, seen as effective representations for sharing and reusing knowledge, have become increasingly important in biomedicine, usually focusing on taxonomic knowledge specific to a subject. Efforts have been made to uncover implicit knowledge within large biomedical ontologies by exploring semantic similarity and relatedness between concepts. However, much less attention has been paid to another potentially helpful approach: discovering implicit knowledge across multiple ontologies of different types, such as disease ontologies, symptom ontologies, and gene ontologies. In this paper, we propose a unified approach to the problem of ontology based implicit knowledge discovery - a Multi-Ontology Relatedness Model (MORM), which includes the formation of multiple related ontologies, a relatedness network and a formal inference mechanism based on set-theoretic operations. Experiments for biomedical applications have been carried out, and preliminary results show the potential value of the proposed approach for biomedical knowledge discovery.

关键词： Biological system modeling Biomedical measurement Ontologies Arthritis Diseases

来源：评论

学校读者我要写书评

暂无评论

Identifying influential nodes in complex networks for network immunization

引用

Journal of Computational Information Systems 2014年第20期10卷 8767-8774页

作者： Zhong, Lu Gao, Chao Zhang, Zili Shi, Ning Huang, Jiajin College of Computer and Information Science Southwest University Chongqing China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China School of Information Technology Deakin University VIC Australia International WIC Institute Beijing University of Technology Beijing China

Identifying influential nodes is of theoretical significance in network immunization which is one of important methods to prevent virus propagation through protecting the influential nodes in a network. Lots of methods have been proposed to find these influential nodes based on the topological characteristics of a network (e.g., degree, betweenness or K-shell). Whereas due to the diversity of network topologies, these methods are not always effective in identifying influential nodes in any benchmark networks. We combine the advantages of existing methods based on attribute ranking and propose a universal ranking method, namely MAF (Multiple Attribute Fusion), to identify influential nodes from a complex network. We compare the efficiency of our proposed method with existing immunization strategies in different types of networks. Simulation results in the interactive email model show that the immunized nodes selected by MAF can restrain virus propagation effectively.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Video Sequence-Based Iris Recognition Inspired by Human Cognition Manner

引用

Journal of Bionic engineering 2014年第3期11卷 481-489页

作者： Yuanning Liu College of Computer Seience and Technology Jilin University Changchun 130012 P. R. China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 P. R. China College of Software Nanchang HangKong University Nanchang 330063 P. R. China

In video sequence-based iris recognition system, the problem of making full use of relationship and correlation among frames still remains to be solved. A brand new template level multimodal fusion algorithm inspired by human cognition manner is proposed. In that a non-isolated geometrical manifold, named Hyper Sausage Chain due to its sausage shape, is trained using the frames from a pattern class for representing an iris class in feature space. We can classify any input iris by observing which manifold it locates in. This process is closer to the function of human being, which takes ＇matter cognition＇ instead of ＇matter classification＇ as its basic principle. The experiments on self-developed JLUBR-IRIS dataset with several video sequences per person demonstrate the effectiveness and usability of the proposed algorithm for video sequence-based iris recognition. Fur- thermore, the comparative experiments on public CASIA-I and CASIA-V4-Interval datasets show that our method can also achieve improved performance of image-based iris recognition system, provided enough samples are involved in training stage.

关键词： iris recognition video sequences multi-modal fusion bionic recognition hyper sausage neuron

来源：评论

学校读者我要写书评

暂无评论

DCFl-Checker： Checking Kernel Dynamic Control Flow Integrity with Performance Monitoring Counter

引用

China Communications 2014年第9期11卷 31-46页

作者： SHI Wenchang ZHOU Hongwei YUAN Jinhui LIANG Bin School of Information Renmin University of China Beijing 100872 China Key Lab of Data Engineering and Knowledge Engineering of Ministry of Education (Renmin University of China) Beijing 100872 China Information Engineering University Zhengzhou 450004 China

It is a challenge to verify integrity of dynamic control flows due to their dynamic and volatile nature. To meet the challenge, existing solutions usually implant an ＂attachment＂ in each control transfer. However, the attachment introduces additional cost except performance penalty. For example, the attachment must be unique or restrictedly modified. In this paper, we propose a novel approach to detect integrity of dynamic control flows by counting executed branch instructions without involving any attachment. Our solution is based on the following observation. If a control flow is compromised, the number of executed branch instructions will be abnormally increased. The cause is that intruders usually hijack control flows for malicious execution which absolutely introduces additional branch instructions. Inspired by the above observation, in this paper, we devise a novel system named DCFI- Checker, which detect integrity corruption of dynamic control flows with the support of Performance Monitoring Counter （PMC）. We have developed a proof-of-concept prototype system of DCFI-Checker on Linux fedora 5. Our experiments with existing kemel rootkits and buffer overflow attack show that DCFI- Checker is effective to detect compromised dynamic control transfer, and performance evaluations indicate that performance penaltyinduced by DCFI-Checker is acceptable.

关键词： integrity dynamic control flow kernel branch performance monitoringcounter

来源：评论

学校读者我要写书评

暂无评论

Spatiotemporal analysis of vegetation variability and its relationship with climate change in China

引用

Geo-Spatial Information Science 2014年第3期17卷 170-180页

作者： Bingwen QIU Weijiao LI Ming ZHONG Zhenghong TANG Chongcheng CHEN National Engineering Research Centre of Geospatial Information Technology Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of EducationFuzhou UniversityFuzhou 350002FujianChina Community and Regional Planning Program University of Nebraska-LincolnLincolnNEUSA

This paper investigated spatiotemporal dynamic pattern of vegetation,climate factor,and their complex relationships from seasonal to inter-annual scale in China during the period 1982–1998 through wavelet transform method based on GIMMS ***,most vegetation canopies demonstrated obvious seasonality,increasing with latitudinal ***,obvious dynamic trends were observed in both vegetation and climate change,especially the positive *** 70%areas were observed with obvious vegetation greening up,with vegetation degradation principally in the Pearl River Delta,Yangtze River Delta,and *** warming trend was observed across the whole country(>98%area),stronger in Northern *** over half of area(58.2%)obtained increasing rainfall trend,around a quarter of area(24.5%),especially the Central China and most northern portion of China,exhibited significantly negative rainfall ***,significantly positive normalized difference vegetation index(NDVI)–climate relationship was generally observed on the de-noised time series in most vegetated regions,corresponding to their synchronous stronger seasonal ***,at inter-annual level,the NDVI–climate relationship differed with climatic regions and their long-term trends:in humid regions,positive coefficients were observed except in regions with vegetation degradation;in arid,semiarid,and semihumid regions,positive relationships would be examined on the condition that increasing rainfall could compensate the increasing water requirement along with increasing *** study provided valuable insights into the long-term vegetation–climate relationship in China with consideration of their spatiotemporal variability and overall trend in the global change process.

关键词： vegetation variability wavelet transform climate change non-stationary normalized difference vegetation index(NDVI)

来源：评论

学校读者我要写书评

暂无评论

Achieving efficient and secure range query in two-tiered wireless sensor networks

Achieving efficient and secure range query in two-tiered wir...

引用

International Workshop on Quality of Service

作者： Xiaoying Zhang Lei Dong Hui Peng Hong Chen Deying Li Cuiping Li Ministry of Education Key Laboratory of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China

ISBN: (纸本)9781479950058

Wireless sensor network is an important part of the Internet of Things. Preservation of privacy and integrity in wireless sensor networks is extremely urgent and challenging. To address this problem, we propose in this paper an efficient and secure range query protocol in two-tiered wireless sensor networks introducing master nodes. Our proposal not only prevents adversaries from gaining sensitive information of both queries issued by users and data collected by sensor nodes but also allows the sink to verify whether results are valid. It offers confidentiality of queries and data by constructing a special code, provides integrity verification by the correlation among data and also enables efficient query processing. Finally, theoretical analysis and simulation results confirm the security and efficiency of our proposal.

关键词： Protocols Wireless sensor networks Equations Privacy data privacy Security Quality of service

来源：评论

学校读者我要写书评

暂无评论

Measurement and validation of the cross section in the FLUKA code for the production of ^63Zn and ^65Zn in Cu targets for low-energy proton accelerators

引用

Nuclear Science and Techniques 2014年第A01期25卷 6-10页

作者：邱睿刘圆圆李文茜 PAN Yu-Xi 王世联李奇李君利 Department of Engineering Physics Tsinghua University Beijing 100084 China Key Laboratory of High Energy Radiation Imaging Fundamental Science Beijing 100084 China Key Laboratory of Particle and Radiation Imaging of Ministry of Education Beijing 100084 China Nuclear and Radiation Safety Center MEP Beijjing 100082 China CTBT Beijing National Data Centre and Radionuclide Laboratory Beijing 100085 China

Induced radioactivity is one of the essential problems in the radiation protection field of proton accelerators. Research on the induced radioactivity of low-energy proton accelerators is highly limited. Given such context, this study investigates the cross section of63Cu (p, n)63Zn and65Cu (p, n)65Zn in Cu targets at 11 MeV proton accelerators through an activation experiment. The uncertainties of the results are analyzed in detail. Results show that the cross section of the reaction of65Cu (p, n)65Zn in the experiment is only 1.36% lower than that of the FLUKA simulation, whereas the reaction of63Cu (p, n)63Zn in the experiment is 25.4% higher than that of the FLUKA simulation. Given that the benchmark for the FLUKA code of low-energy proton accelerators is very limited, this study provides a reference in this field.

关键词：质子加速器横截面低能量 Cu靶感生放射性代码测量验证

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：