检索结果-内蒙古大学图书馆

Automated Controller Placement for Software-Defined Networks to Resist DDoS Attacks

Computers, Materials & Continua 2021年第9期68卷 3147-3165页

作者： Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Lee Ching Kwang Rizaludin Kaspin Bhawani Shankar Chowdhry Rajkumar Buyya Satya Prasad Majumder Manoj Gupta Shuaib Memon Faculty of Computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation CentreCyberjaya63000SelangorMalaysia National Center of Robotics and Automation Mehran University of Engineering&TechnologyJamshoroPakistan Department of Computer Science and Engineering Hanyang UniversitySeoul04763South Korea School of Electrical and Electronic Engineering Nanyang Technological University639798Singapore Cloud Computing and Distributed Systems Laboratory The University of MelbourneMelbourneVIC 3053Australia Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology(BUET)Dhaka1205Bangladesh Department of Electronics and Communication Engineering JECRC UniversityVidhaniJaipur303905India Auckland Institute of Studies Mt AlbertAucklandNew Zealand

In software-defined networks(SDNs),controller placement is a critical factor in the design and planning for the future Internet of Things(IoT),telecommunication,and satellite communication *** research has concentrated largely on factors such as reliability,latency,controller capacity,propagation delay,and energy ***,SDNs are vulnerable to distributed denial of service(DDoS)attacks that interfere with legitimate use of the *** ever-increasing frequency of DDoS attacks has made it necessary to consider them in network design,especially in critical applications such as military,health care,and financial services networks requiring high *** propose a mathematical model for planning the deployment of SDN smart backup controllers(SBCs)to preserve service in the presence of DDoS *** a number of input parameters,our model has two distinct ***,it determines the optimal number of primary controllers to place at specific locations or nodes under normal operating ***,it recommends an optimal number of smart backup controllers for use with different levels of DDoS *** goal of the model is to improve resistance to DDoS attacks while optimizing the overall cost based on the *** simulated results demonstrate that the model is useful in planning for SDN reliability in the presence of DDoS attacks while managing the overall cost.

关键词： SDN automated controller placement SBC ILP DDoS attack

来源：评论

学校读者我要写书评

暂无评论

Robot ontologies for sensor- and Image-guided surgery

Robot ontologies for sensor- and Image-guided surgery

引用

International Workshop on Robot Sensing (ROSE)

作者： Tamás Haidegger Marcos Barreto Paulo J. S. Goncalves Maki K. Habib S. Veera Ragavan Howard Li Alberto Vaccarella Roberta Perrone Edson Prestes Austrian Center for Medical Innov. and Techn. (ACMIT) Wiener Neustadt Austria UFBA Distributed Systems Laboratory (LaSiD) Brazil IDMEC Center of Intelligent Systems Portugal The American University in Cairo Cairo Egypt Monash University Selangor Malaysia Dept. of Electrical and Computer Engineering University of New Brunswick Canada Dept. of Electronics Information and Bioengineering (DEIB) NearLab Medical Robotics Milan Italy UFRGS Instituto de Informática Brazil

Robots and robotics are becoming more complex and flexible, due to technological advancement, improved sensing capabilities and machine intelligence. Service robots target a wide range of applications, relying on advanced Human-Robot Interaction. Medical robotics is becoming a leading application area within, and the number of surgical, rehabilitation and hospital assistance robots is rising rapidly. However, the complexity of the medical environment has been a major barrier, preventing a wider use of robotic technology, thus mostly teleoperated, human-in-the-loop control solutions emerged so far. Providing smarter and better medical robots requires a systematic approach in describing and translating human processes for the robots. It is believed that ontologies can bridge human cognitive understanding and robotic reasoning (machine intelligence). Besides, ontologies serve as a tool and method to assess the added value robotic technology brings into the medical environment. The purpose of this paper is to identify relevant ontology research in medical robotic, and to review the state-of-the-art. It focuses on the surgical domain, fundamental terminology and interactions are described for two example applications in neurosurgery and orthopaedics.

关键词： Robot sensing systems Surgery Lead Ontologies Biomedical optical imaging

来源：评论

学校读者我要写书评

暂无评论

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

An Algorithm for Formation-Based Chemical Plume Tracing Usin...

引用

OCEANS MTS/IEEE Monterey (Conference)

作者： Jorge M. Soares A. Pedro Aguiar Antonio M. Pascoal Alcherio Martinoli Laboratory of Robotics and Engineering Systems Instituto Superior Técnico University of Lisbon Av. Rovisco Pais 1049-001 Lisboa Portugal Research Center for Systems and Technology Faculty of Engineering University of Porto Rua Dr. Roberto Frias 4200-465 Portugal Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering école Polytechnique Fédérale de Lausanne (EPFL) 1015 Switzerland

ISBN: (纸本)9781509015276

Robotic chemical plume tracing is a growing area of research, with envisioned real-world applications including pollution tracking, search and rescue, and ecosystem identification. However, following a chemical signal in the water is not an easy task due to the nature of chemical transport and to limitations in sensing and communication. In this paper, we propose an approach for near-surface waterborne plume tracing using a combined team of autonomous surface and underwater vehicles. All vehicles are equipped with appropriate chemical sensors and acoustic modems. The team moves in a triangular formation, while using the flow direction and the samples obtained to steer the group along the plume. Leader vehicles at the surface implement a formation controller based on Laplacian feedback while the underwater vehicle performs acoustic ranging to the leaders. The solution was evaluated using a CFD simulation of a freshwater plume and a calibrated dynamic model of the MEDUSA autonomous marine vehicles. The group is able to move in a stable formation, sample the salinity, and trace the plume to its source.

关键词： Vehicles Chemicals Robots Ocean temperature Sea surface Salinity (geophysical) Underwater vehicles

来源：评论

学校读者我要写书评

暂无评论

Gradient Eigen-decomposition Invariance Biogeography-based Optimization for Mobile Robot Path Planning

Research Square

引用

Research Square 2021年

作者： Wang, Jiaqian Na, Xiaodong Han, Min Li, Deicai Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian116024 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian116024 China Professional Technology Innovation Center of Distributed Control for Industrial Equipment of Liaoning Province Dalian University of Technology Dalian116024 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

The path planning for mobile robots has attracted extensive attention, and evolutionary algorithms have been applied to this problem increasingly. In this paper, we propose a novel gradient eigen-decomposition invariance biogeography-based optimization (GEI-BBO) for mobile robot path planning, which has the merits of high rotation invariance and excellent search performance. In GEI-BBO, we design an eigen-decomposition mechanism for migration operation, which can reduce the dependence of biogeography-based optimization (BBO) on the coordinate system, improve the rotation invariance and share the information between eigen solutions more effectively. Meanwhile, to find the local optimal solution better, gradient descent is added, and the system search strategy can reduce the occurrence of local trapping phenomenon. In addition, combining the GEI-BBO with cubic spline interpolation will solve the problem of mobile robot path planning through a defined coding method and fitness function. A series of experiments are implemented on benchmark functions, whose results indicated that the optimization performance of GEI-BBO is superior to other algorithms. And the successful application of GEI-BBO for path planning in different environments confirms its effectiveness and practicability. © 2021, CC BY.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Towards 3-D distributed odor source localization: An extended graph-based formation control algorithm for plume tracking

Towards 3-D distributed odor source localization: An extende...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Jorge M. Soares Ali Marjovi Jonathan Giezendanner Anil Kodiyan A. Pedro Aguiar Antonio M. Pascoal Alcherio Martinoli Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering école Polytechnique Fédérale de Lausanne (EPFL) 1015 Switzerland Research Center for Systems and Technology Faculty of Engineering University of Porto Rua Dr. Roberto Frias 4200-465 Portugal Laboratory of Robotics and Engineering Systems Instituto Superior Técnico University of Lisbon Av. Rovisco Pais 1049-001 Lisboa Portugal

ISBN: (纸本)9781509037636

The large number of potential applications for robotic odor source localization has motivated the development of a variety of plume tracking algorithms, the majority of which work in restricted two-dimensional scenarios. In this paper, we introduce a distributed algorithm for 3-D plume tracking using a system of ground and aerial robots in formation. We propose an algorithm that takes advantage of spatially distributed measurements to track the plume in 3-D and lead the robots to the source by integrating three behaviors - upwind movement, plume centering, and Laplacian feedback formation control. We evaluate this strategy in simulation and with real robots in a wind tunnel. For a source close to the ground, results show that a team of robots running our algorithm reaches the source with low lateral error while also tracing the horizontal and vertical plume shape.

关键词： Robot sensing systems Robot kinematics Laplace equations Tracking Unmanned aerial vehicles Chemicals Manipulator sensing systems Robot kinematics Laplace's equation Position measurement plume plumes tracking Unmanned Aerial Vehicle chemical compounds Computer algorithms Robot vehicle drone honey bees Three Dimensions plume shape

来源：评论

学校读者我要写书评

暂无评论

Annual business and news:: Beginning the 31st year of the Journal of Guidance, Control, and Dynamics

引用

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

来源：评论

学校读者我要写书评

暂无评论

Design decision support system for the engineering/re-engineering of complex naval systems

引用

NAVAL ENGINEERS JOURNAL 1997年第4期109卷 23-33页

作者： Graham, JH Ragade, RK Shea, J James H. Graham:is the Henry Vogt Professor of computer science and engineering at the University of Louisville. Previous professional employment includes positions at Rensselaer Polytechnic Institute and General Motors Corporation. He received his master's and doctoral degrees at Purdue University and his bachelor's degree at Rose-Hulman Institute of Ethnology. His research interests include artificial intelligence robotics and paraliel computing. Rammohan K. Ragade:is professor of engineering mathematics and computer science at the University of Louisville. He received his Ph.D. from the Indian Institute of Technology at Kampur in 1968. He has been a faculty member at the University of Waterloo and held an engineering position with Bell Northern Research. His research interests include human-computer interaction decision support systems object-oriented simulation and modeling distributed database systems and fuzzy logic. John G. Shea Jr.:served until 1995 as a project manager in the Phalanx Engineering Section of Naval Surface Warfare Center Crane Division Louisville Station. He received his bachelor's and master's degrees from the Speed Scientific School at the University of Louisville. He was a member of the American Society of Naval Engineers.

Hybrid simulation includes both functional computer software models and actual hardware subsystems operating as an integrated whole. A ''hot test bed'' or a ''hybrid simulator-emulator'' enables design engineers to evaluate conceptual models in a more realistic real-lime context, but places increased cognitive demands on the designer. This paper describes an architecture, and results from a prototype implementation, for a design decision support system to allow a designer to make more productive and cost effective use of a test bed system.

关键词： Decision support systems

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：