检索结果-内蒙古大学图书馆

Steganographic codes by applying syndrome-trellis codes to dynamic distortion model in pixel chain

Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2014年第8期51卷 1739-1747页

作者： Bao, Zhenkun Zhang, Weiming Cheng, Sen Zhao, Xianfeng The Fourth Institute Information Engineering University Zhengzhou450002 China State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou450002 China School of Information Science and Technology University of Science and Technology of China Hefei230026 China Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China State Key Laboratory of Information Security Instituteof Information Engineering Chinese Academy of Sciences Beijing100093 China

Double-layered STC (syndrome trellis code) is the most popular method for minimizing the distortion of ± 1 steganography. However, it is a probabilistic algorithm which may fail in the embedding process on some given profiles. Another characteristic of double-layered STC is the high computational complexity. Starting from these two points, we propose a dynamic distortion model defined in a pixel chain in this paper. The dynamic distortion model is working on a principle that the SLSB (second least significant bit) of current pixel is used to control the LSB (least significant bit) of the next pixel. So the distortion of some pixels may be adjusted to zero by this means. We apply STC to fit the dynamic distortion model and get a novel method for ± 1 steganography. Comparing with the double-layered STC, the experiment result shows that the proposed method has comparable ability for minimizing distortion with significantly improved embedding speed. And this novel method avoids failure in the embedding process. Considering the advantages together, the method is more suitable for steganography systems and software in practical environment.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

An improved approach to the recovery of traceability links between requirement documents and source codes based on latent semantic indexing

引用

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2013年 7971卷 547-557页

作者： Shao, Jianwei Wu, Wei Geng, Peng Zhejiang Topthinking Information Technology Co. Ltd Hangzhou China Zhejiang Provincial Key Laboratory of Network Technology and Information Security Hangzhou China

ISBN: (纸本)9783642396366

The traceability links among software artifacts plays a very important role for the maintenance of consistency in the evolution of software product lines. This paper introduces an improved approach to the recovery of traceability information between requirement documents and source codes based on Latent Semantic Indexing (LSI) and the special features of objectoriented source codes. In order to obtain accurate traceability links, it employs the hierarchical information caused by the inheritance relationship among classes and recovers the traceability links using class clusters. Moreover, it assigns different weights for the terms in source codes according to their degrees of correlation to the documents. The case demonstrates the improved approach, and the experimental results show that it can increase the extraction precision by 3%∼6%, compared with that based on the traditional LSI. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Semantics

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

A flow based method to detect penetration

A flow based method to detect penetration

引用

International Conference on Advanced Infocomm technology (ICAIT)

作者： Shangdong Liu Jian Gong Jianxin Chen Yanbing Peng Wang Yang Weiwei Zhang Ahmad Jakalan Key Laboratory of Computer Network Technology of Jiangsu Province Southeast University China Nanjing University of Posts and Telecommunications China Security Products Department Fiberhome Telecommunication Technologies Co. Ltd. China

With the rapid expansion of the Internet, network security has become more and more important. IDS (Intrusion Detection System) is an important technology coping network attacks and is of two main types: network based (NIDS) and host based (HIDS). In this paper, we propose the conception of NFPPB (network Flow Patterns of Penetrating Behavior) to network vulnerable ports and design a NIDS algorithm to detect infiltration behaviors of attacker. Essentially, NFPPB is a set of metrics calculated by network activities exploiting the vulnerabilities of hosts. The paper investigates choosing, generation and comparison of NFPPB metrics. Experiments show that the method is effective and with high efficiency. At last, the paper addresses the future direction and the points that need to be improved.

关键词： Ports (Computers) Measurement Law Educational institutions security IP networks

来源：评论

学校读者我要写书评

暂无评论

Action recognition of motion capture data

Action recognition of motion capture data

引用

Congress on Image and Signal Processing, CISP

作者： Na Lv Zhiquan Feng Lingqiang Ran Xiuyang Zhao Shandong Provincial Key Laboratory of Network based Intelligent Computing Jinan P.R. China Department of Information Science and Technology University of Jinan Jinan China School of Computer Science and Technology Shandong University Jinan China

ISBN: (纸本)9781479958368

With the advancement of motion capture technology, 3D skeleton data is easier to be obtained. 3D skeleton data has the advantage over traditional video data for the reason that it is less affected by illumination, complex background, self-occlusion and noise. 3D skeleton data brings new opportunities and challenges to the action recognition research. In this paper, we propose a new method for action recognition of motion capture data. We use relative velocity of all the joint pairs to encode the kinematic characteristics and the primary vector decomposed from Motion Sequence Volume(MSV) to represent the distribution of joint positions in the motion sequence. The extracted features are fed into a Spectral Regression Kernel Discriminant Analysis(SRKDA) classifier to identify motion types. In the experiment, our method obtains higher recognition accuracy than the state-of-art methods.

关键词： Feature extraction Joints Three-dimensional displays Conferences Pattern recognition Computer vision

来源：评论

学校读者我要写书评

暂无评论

A Reliable Supervision Model and Implementation for the Trading of Digital Works

A Reliable Supervision Model and Implementation for the Trad...

引用

International Conference on Computational Intelligence and security

作者： Guozhen Shi Ying Shen Fenghua Li Mang Su Department of Information Security Beijing Electronic Science and Technology Institute Beijing China National Key Laboratory of Integrated Services Network Xidian University Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479974351

Aim at the digital works are facing with difficult problems in counting, providers can not accurately gain the real and integrated trade data, this paper presents a reliable supervision model, which includes three parts, a seller, a authorizer and a trusted third-part platform, introduces a robust upload data protocol and gives a system implementation. In this paper, the authorizer and seller will send encapsulated data to the trusted third-part platform for backup. In addition, we also give a method to deal with the abnormal data in the trading process when the network is disconnected, which can ensure that the trading data is not lost. This reliable supervision mechanism will not only facilitate to regulate trading, but also provide the basis proof to resolve disputes of trading count. Above all, it can make these invisible digital works be measured. Therefore, it can protect the legitimate rights of publishers and copyright owner in the trading process.

关键词： Radiation detectors Reliability Authorization Protocols Databases Data models

来源：评论

学校读者我要写书评

暂无评论

Research on Fault Diagnosis of Tennessee Eastman Process Based on KPCA and SVM

Research on Fault Diagnosis of Tennessee Eastman Process Bas...

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： Ke Zhang Kun Qian Yi Chai Yi Li Jianhuan Liu State Key Laboratory of Power Transmission Equipment & System Security and New Technology College of Automation Chongqing University Chongqing P.R. China Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education College of Automation Chongqing University Chongqing P.R. China

ISBN: (纸本)9781479970063

Based on principal component analysis (PCA) and support vector machine (SVM), a new method for the fault diagnosis of TE Process is proposed. The fault recognition based on kernel principal component analysis (KPCA) is analyzed and SVM is employed as a classifier for fault classification. To establish a more efficient SVM model, genetic algorithm (GA) is used to determine the optimal kernel parameter γ and penalty parameter C of SVM with the highest accuracy and generalization ability. The classification accuracy of this GA-SVM approach is tested by real data of TE Process and compared with some other related methods such as artificial neural network. The experimental results indicate that the classification accuracy of this GA-SVM is more superior than that of some artificial neural network.

关键词： Support vector machines Kernel Genetic algorithms Principal component analysis Testing Training data Accuracy

来源：评论

学校读者我要写书评

暂无评论

Verifying a Carry Look-Ahead Adder with Propositional Projection Temporal Logic

引用

电子学报(英文版) 2013年第1期22卷 21-24页

作者： ZHANG Nan DUAN Zhenhua TIAN Cong Institute of Computing Theory and Technology Xidian University Xi'an 710071 China National Key Laboratory on Integrated Services Network Xidian University Xi'an 710071 China

This paper presents a case study for veri- fying a carry look-ahead adder using the axiom system of Propositional projection temporal logic (PPTL). To this end, the syntax, semantics and axiom system of PPTL are briefly introduced. Further, functions and architectures of the carry look-ahead adder are presented. In addition, four lemmas are proved with the axiom system of PPTL. Fi- nally, the correctness of the adder is verified based on the lemmas and the axiom system of PPTL. The case study shows that the axiom system for PPTL is workable.

关键词：时序逻辑加法器进位验证投影命题公理系统体系结构

来源：评论

学校读者我要写书评

暂无评论

25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

引用

BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

关键词：

来源：评论

学校读者我要写书评

暂无评论

DMAT: A new network and computer attack classification

引用

Journal of Engineering Science and technology Review 2013年第5期6卷 101-106页

作者： Jiang, Wei Tian, Zhi-Hong Cui, Xiang College of Computer Science Beijing University of Technology Beijing 100124 China School of Computer National University of Defense Technology Changsha 410073 China Key Laboratory of Information and Network Security Ministry of Public Security Shanghai 201204 China School of Computer Science and Technology Harbin Institute of Technology Haerbin 150001 China The Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

With the rapid development of computer network and information technology, the Internet has been suffering from a variety of security attacks over the past few years. Attacks have become both numerous and complex, and the defender can not understand. In order to understand and defend against cyber attacks, it is necessary to understand the kind of attack. In this paper, we study computer and network attacks, and introduce a classification of them and propose a cyber attack classification called DMAT (Defense-oriented Multidimensional Attack Taxonomy). We use nine categories to describe the characteristic of the attack, which are attack target, attack impact, attack purpose, attack cost, attack exploiting, attack source, attack automation, attack loss and defense. The ninth category in the DMAT, classification by defense, is used to provide the defender with instructions of how to defense an attack. Compared to the existing taxonomies, our taxonomy efficiently classifies complex attacks and guide the defender to defense the possible attack. © 2013 Kavala Institute of technology. All rights reserved.

关键词： network security

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：