检索结果-内蒙古大学图书馆

Computer architectures for Machine Perception (CAMP)

作者： C.D. Cavanaugh University of Louisiana Lafayette Lafayette LA USA

Given the overall increasing trend of airspace demand by commercial, military, and general aviation, researchers are developing new software tools to enhance the level of automation in air traffic control systems to alleviate the already-crowded airspace by allowing controllers and pilots more freedom in planning and conducting flights. These tools utilize high-performance commercial workstations that use high-speed networks and function together to form a distributed real-time computing system. As new equipment replaces legacy computer systems, new risks arise, specifically regarding their impact on performance, reliability, and security quality of service. Maintaining quality of service in distributed realtime systems is a significant research area of computer science involving designing and evaluating models and algorithms for specifying, monitoring, and maintaining performance, fault tolerance, and security requirements of applications. In order to evaluate such a design prior to deploying it on a real application, researchers use a benchmark to experimentally gauge its effects on a functional model of the application. This paper describes a three-dimensional air traffic control simulation benchmark developed by the author for the purpose of running simulations of air traffic scenarios, adding new capabilities, and gauging performance, security, and reliability quality of service management techniques on a variety of platforms

关键词： sensor fusion Air traffic control Quality of service Computer security Maintenance Application software Software tools Automation Automatic control Control systems

来源：评论

学校读者我要写书评

暂无评论

Agent-based analysis of trustworthiness in wireless sensor networks

引用

Proceedings of SPIE - The International Society for Optical Engineering 2012年 8407卷

作者： Fernandes, Ronald Li, Biyan Vadakkeveedu, Kalyan Verma, Ajay Gustafson, Paul Hwang, Jong Knowledge Based Systems Inc. 1408 University Drive East College Station TX77840 United States Air Force Research Lab at Wright Patterson Air Force Base Dayton OH 45433 United States

ISBN: (纸本)9780819490858

Information assurance is a critical component of any organization's data network. Trustworthiness of the sensor data, especially in the case of wireless sensor networks (WSNs), is an important metric for any application that requires situational awareness. In a WSN, information packets are typically not encrypted and the nodes themselves could be located in the open, leaving them susceptible to tampering and physical degradation. In order to develop a method to assess trustworthiness in WSNs, we have utilized statistical trustworthiness metrics and have implemented an agentbased simulation platform that can perform various trustworthiness measurement experiments for various WSN operating scenarios. Different trust metrics are used against multiple vulnerabilities to detect anomalous behavior and node failure as well as malicious attacks. The simulation platform simulates WSNs with various topologies, routing algorithms, battery and power consumption models, and various types of attacks and defense mechanisms. Additionally, we adopt information entropy based techniques to detect anomalous behavior. Finally, detection techniques are fused to provide various metrics, and various trustworthiness metrics are fused to provide aggregate trustworthiness for the purpose of situational awareness. © 2012 SPIE.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

Multi-target tracking and data association using learning network systems: a conceptual design

Multi-target tracking and data association using learning ne...

引用

IEEE Conference on Control Technology and applications (CCTA)

作者： Q.M. Lam R.N. Morgan Coleman Research Corporation Fairfax VA USA

The problem of tasking sensors and tracking multiple objects using multiple sensors which are distributed both in space and on the ground is addressed for both commercial and military applications. The data association problem is considered in a broader sense in which the assignment of an asset to an object under consideration has been added as an additional function to a traditional tracking and data association system. Suggested learning network architectures and algorithms for potentially enhancing the performance of traditional techniques are discussed and conceptualized.< >

关键词： Target tracking sensor fusion Intelligent sensors Asset management Weapons Neural networks Intelligent networks Environmental management Redundancy Measurement errors

来源：评论

学校读者我要写书评

暂无评论

Signal Processing and Data fusion for Autonomous Undersea Vehicles

Signal Processing and Data Fusion for Autonomous Undersea Ve...

引用

International Symposium on Unmanned Untethered Submersible Technology

作者： J.W. Irza M.N. Desai Draper Laboratory Inc. Cambridge MA USA

The strategic and tactical applications for autonomous submersibles place great demands on the platforms' passive sonar signal and data processing abilities. It is necessary to overcome the limited acoustic aperture and lack of human supervision by exploiting synergism between front-end signal processing functions and back-end data fusion algorithms. An Information Management System Architecture is presented which represents the relationship between the Information Extraction (signal processing and data fusion), Situation Assessment, and Mission Planner. The information extraction requirements (essentially the emulation of manned platform detection, classification, and localization) drive the design of the signal and data processing architectures. The signal processing architecture is partitioned into a generic, multifunction (e.g. sonar, comm, navigation) processor complemented by an ancillary signal processor which supports the knowledge-based signal interpretation function of information fusion.

关键词： Signal processing Remotely operated vehicles Mobile robots Data mining sensor arrays Signal processing algorithms Data processing Acoustic signal processing Sonar navigation Laboratories

来源：评论

学校读者我要写书评

暂无评论

Cellular multi-core fusion-tracking system for multi-modal space-time signature analysis

Cellular multi-core fusion-tracking system for multi-modal s...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their applications, (CNNA)

作者： Csaba Rekeczky Tibor Kozek Eutecus Inc. Berkeley CA USA Imagize LLC Berkeley CA USA

Summary form only given. A novel real-time signal processing device will be demonstrated designed and implemented for improved target feature extraction, discrimination, and tracking. The device utilizes a unique combination of advanced signal processing techniques for multi-spectral fusion and image analysis. It incorporates state-of-the-art algorithms and the associated electronics to combine the functions of a multi-spectral fusion (MSF) engine and a multi-target tracking and discrimination (MTTD) engine. The resulting compact MSF-MTTD system, currently is capable of processing image flows from two external sensors (e.g. infrared and visible) by utilizing the processing power of massively parallel cellular nonlinear processor architectures at different levels of processing. The compact (<2in ¿ 3) light-weight (<25 g), low-power (<5 W for the entire system) prototype of the multi-core MSF-MTTD engine and system has been implemented using low-power FPGAs and will be used and demonstrated in complex event detection scenarios.

关键词： Signal processing algorithms Engines Target tracking Infrared image sensors Signal design Feature extraction Image analysis sensor systems Prototypes Field programmable gate arrays

来源：评论

学校读者我要写书评

暂无评论

Heracles: A Context-Based Multisensor sensor Data fusion Algorithm for the Internet of Things

引用

INFORMATION 2020年第11期11卷 517页

作者： Delicato, Flavia C. Vandelli, Tayssa Bonicea, Mario Farias, Claudio M. de Fluminense Fed Univ Dept Comp Sci BR-24210310 Niteroi RJ Brazil Univ Fed Rio de Janeiro Tercio Pacitti Inst Appl Computat Res BR-21941916 Rio De Janeiro RJ Brazil

In the Internet of Things (IoT), extending the average battery duration of devices is of paramount importance, since it promotes uptime without intervention in the environment, which can be undesirable or costly. In the IoT, the system's functionalities are distributed among devices that (i) collect, (ii) transmit and (iii) apply algorithms to process and analyze data. A widely adopted technique for increasing the lifetime of an IoT system is using data fusion on the devices that process and analyze data. There are already several works proposing data fusion algorithms for the context of wireless sensor networks and IoT. However, most of them consider that application requirements (such as the data sampling rate and the data range of the events of interest) are previously known, and the solutions are tailored for a single target application. In the context of a smart city, we envision that the IoT will provide a sensing and communication infrastructure to be shared by multiple applications, that will make use of this infrastructure in an opportunistic and dynamic way, with no previous knowledge about its requirements. In this work, we present Heracles, a new data fusion algorithm tailored to meet the demands of the IoT for smart cities. Heracles considers the context of the application, adapting to the features of the dataset to perform the data analysis. Heracles aims at minimizing data transmission to save energy while generating value-added information, which will serve as input for decision-making processes. Results of the performed evaluation show that Heracles is feasible, enhances the performance of decision methods and extends the system lifetime.

关键词： data fusion Internet of Things smart environments

来源：评论

学校读者我要写书评

暂无评论

Multiple Mobile Robots Map Building Based on DSmT

Multiple Mobile Robots Map Building Based on DSmT

引用

IEEE Conference on Robotics, Automation and Mechatronics

作者： Peng Li Xinhan Huang Min Wang Xiangjin Zeng Intelligent Control and Robotics Laboratory Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer ii mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.

关键词： Mobile robots Buildings Multirobot systems Sonar applications sensor fusion sensor phenomena and characterization sensor systems and applications System performance Mobile communication Real time systems

来源：评论

学校读者我要写书评

暂无评论

Practical fusion of quantized measurements via particle filtering

Practical fusion of quantized measurements via particle filt...

引用

IEE Target Tracking 2004: algorithms and applications

作者： Yanhua Ruan P. Willett A. Marrs S. Marano F. Palmieri University of Connecticut USA Qinetiq Limited UK Universitià degli Studi di Salerno Italy Seconda Università degli Studi di Napoli Italy

Most treatments of decentralized estimation rely on some form of track fusion, in which local track estimates and their associated covariances are communicated. This implies a great deal of communication; and it was recently proposed that, by an intelligent direct quantization of measurements, the communication needs could be considerably cut. However, several issues were not discussed. The first of these, estimation with quantized measurements, would be a difficult task for dynamic estimation, but Markov-chain Monte-Carlo (MCMC), and specifically particle filtering techniques appear quite appropriate since the resulting system is, in essence, a nonlinear filter. For the second issue, out-of-sequence. arrival of measurements, a particle filter is again appropriate. We show results that indicate a compander/particle-filter combination is a natural fit, and, specifically, that quite good performance is achievable with only 2-3 bits per dimension per observation. The third issue is that intelligent quantization requires that both sensor and fuser share an understanding of the quantization rule, but in dynamic estimation, both quantizer and fuser are working with only partial information; the problem is worse if measurements arrive out of sequence. We therefore suggest architectures, and comment on their suitabilities for the task. A scheme based on /spl Delta/-modulation appears to be promising.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of a MATLAB Based Target Tracking Simulation Environment

Development of a MATLAB Based Target Tracking Simulation Env...

引用

IEEE Signal Processing and Communications applications (SIU)

作者： Aslan Saranli Baykal İLTAREN TÜBİTAK-UEKAE Ankara Turkey TÜBİTAK-UEKAE İLTAREN Ankara Elektrik ve Elektronik Müihendisliği Bölümü O.D.T.Ü Ankara Turkey Elektrik ve Elektronik Mühendisliği Bölümü O.D.T.Ü Ankara

A simulation environment for tracking of maneuvering targets in clutter is developed in MATLAB. The simulation environment allows to generate 2-dimensional surveillance radar measurements and to run various target tracking algorithms on these measurements. As a first simulation example, IMM-NNJPDA algorithm, which incorporates NNJPDA data association and IMM filter structure, is implemented and the performance of this algorithm is investigated in an example scenario. By this simulator, in the future, it is aimed that statistical test and evaluation of different radar sensors, scenarios, target tracking methods and data fusion architectures will be performed

关键词： MATLAB Target tracking Radar tracking Clutter Surveillance Radar measurements Filters Testing sensor fusion Performance evaluation

来源：评论

学校读者我要写书评

暂无评论

In-network stochastic consensus for WSN surveillance applications

In-network stochastic consensus for WSN surveillance applica...

引用

International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Cristian Dragana Viorel Mihai Grigore Stamatescu Dan Popescu Department of Automatic Control and Industrial Informatics University Politehnica of Bucharest Bucharest Romania

Surveillance applications require reliable monitoring system architectures and cost-efficient innetwork data processing mechanisms able to provide effective information extraction for event tracking. Wireless sensor Networks (WSNs) appear to be the most suitable technology due to some well known benefits and the rapid development of embedded devices. Current research is mostly focused on improving and developing new decentralized sensor fusion schemes able to overcome the limitations introduced by the battery operated sensor nodes, but most of the time evaluating the proposed algorithms is performed with a serious lack of precise channel modeling. To close this gap, we provide a stochastic consensus implementation for lossy wireless networks comprising fixed and mobile sensor nodes, as a heterogeneous surveillance system based on ground sensor nodes and UAVs (Unmanned Aerial Vehicles). We developed a simulation framework tailored for fixed and mobile sensor nodes and we are able to evaluate the performance of consensus algorithms from a comparative standpoint, considering deterministic and probabilistic packet propagation models described by common models such as Free Space and Nakagami models. In this paper, we consider a complex in-network adaptive estimation using the distributed least-mean square algorithm tailored for WSN. We perform a mean-square error (MSE) performance analysis for both deterministic and probabilistic propagation models.

关键词： Wireless sensor networks Wireless communication Probabilistic logic Surveillance Adaptation models Bridges Stochastic processes

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：