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Proceedings. 2005 IEEE Networking, Sensing and Control, 2005.最新文献

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Stochastic robust stability analysis for Markovian jumping neural networks with time delays 时滞马尔可夫跳变神经网络的随机鲁棒稳定性分析
Pub Date : 2005-08-27 DOI: 10.1007/11539087_49
Li Xie
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引用次数: 20
Modeling and performance evaluation of collision resolution algorithms for LonWorks control networks LonWorks控制网络碰撞解决算法建模与性能评价
Pub Date : 2005-07-05 DOI: 10.1109/ICNSC.2005.1461268
E. Lin, Mianyu Wang, M. Kam
The predictive p-persistent carrier sense multiple access (p-persistent CSMA) algorithm is studied, using analytical models, simulations, and physical experiments. The algorithm is used for managing access of devices to a shared channel in networked control applications such as the local operating networks (LonWorks). The key to its success is an adjustment of a time window during which ready packets are transmitted. A Markov-chain based analytical model for the algorithm is developed, as well as an OPNET-based simulation of the model. Predictions of the analytical model and simulation are compared to experimental data collected from a network of six SMART I/O ADR112-F units connected though TP/FT-10 channel
通过分析模型、仿真和物理实验,研究了预测性p-persistent载波感知多址(p-persistent CSMA)算法。该算法用于管理网络控制应用程序(如本地操作网络(LonWorks))中设备对共享通道的访问。它成功的关键是一个时间窗口的调整,在此期间,准备好的数据包被传输。建立了基于马尔可夫链的算法分析模型,并对该模型进行了基于opnet的仿真。分析模型的预测和仿真与从通过TP/FT-10通道连接的6个SMART I/O ADR112-F单元网络收集的实验数据进行了比较
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引用次数: 0
The organization model research of SM crowd SM人群组织模式研究
Pub Date : 2005-07-05 DOI: 10.1109/ICNSC.2005.1461336
Zeng Guanping, Tu Xuyan, Zhang Shumin
The organization management of " SoftMan crowd " is the basic problem of SoftMan consultation, cooperation and coordination. This paper put forward the design and the organization structural model of SMC (SoftMan Community), established SMC management and control strategy, and realized control function and the specific management under management tactful guidance. At the same time, this paper also discussed the interacting control mechanisms of local SMCs and remote SMCs.
“软人群”的组织管理是软人咨询、合作、协调的基本问题。本文提出了SMC (SoftMan Community)的设计和组织结构模型,建立了SMC管理控制策略,在管理策略的指导下实现了控制功能和具体管理。同时,本文还讨论了本地SMCs和远程SMCs的交互控制机制。
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引用次数: 0
Development of an on-line hybrid electronic radiation dosimeter for a mobile robot using pMOSFET and SiC diode 基于pMOSFET和SiC二极管的移动机器人在线混合电子辐射剂量计的研制
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461217
Seung Min Lee, Heung-Ho Lee
This paper describes the development effort of a hybrid electronic radiation detector/dosimeter using a SiC diode and a p-type power MOSFET. To select the best candidate for the dosimeter among commercial devices, we have investigated the radiation performance of the devices in two Co-60 irradiation facilities in Korea. As a result of the investigation, two semiconductor sensors with excellent proportionality to incident radiation were identified. A small hybrid radiation-detection/dosimetry module with the two sensors has been developed. The real-time detector module is also radiation hardened for an ionizing radiation environment with well over 100 krad (SiO2) dose. The developed small and simple semiconductor electronic dosimeter is unique in terms of its extended dose range (/spl sim/100 krad), dose-rate (50 rad/hr /spl sim/ 8 krad/hr) capability, and its level of redundancy/diversity along with its size/weight.
本文介绍了采用碳化硅二极管和p型功率MOSFET的混合电子辐射探测器/剂量计的研制工作。为了在商用设备中选择最佳的候选剂量计,我们在韩国的两个Co-60辐照设施中研究了该设备的辐射性能。研究的结果是,确定了两个与入射辐射具有良好比例的半导体传感器。一个小型混合辐射探测/剂量测定模块与这两个传感器已经开发。实时探测器模块还具有抗辐射能力,适用于剂量超过100克拉(SiO2)的电离辐射环境。开发的小型和简单的半导体电子剂量计在其扩展剂量范围(/spl sim/100克拉),剂量率(50拉德/小时/spl sim/ 8克拉/小时)能力以及其冗余/多样性水平以及其尺寸/重量方面是独一无二的。
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引用次数: 0
Using space and network diversity combining to solve masked node collision in wireless adhoc network 利用空间和网络分集相结合的方法解决无线自组网中的屏蔽节点碰撞问题
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461347
Zhigang Wang, Lichuan Liu, Mengchu Zhou
In wireless ad hoc network, the traditional carrier sensing multiple access/collision avoidance (CSMA/CA) protocol cannot solve the masked node problem, which affect the network performance greatly. Our proposed collision separation technique overcomes the shortcoming of the IEEE 802.11 request-to-send-clear-to-send (RTS-CTS) handshake by combining the space diversity provided by the antenna array and network diversity provided by the media access control (MAC) layer. In this work, the colliding packets caused by masked nodes are not discarded but stored and combined with the selected retransmission packets to separate the data from different nodes. The steady states of the nodes in the network are analyzed via a Markov chain model. The network goodput and delay performance are also investigated. Compared to network assisted diversity multiple access (NDMA), our proposed method, i.e., space and network diversity combination, SNDC for short, can provide higher throughput and lower delay performance.
在无线自组织网络中,传统的载波感知多址/避碰(CSMA/CA)协议无法解决屏蔽节点问题,严重影响网络性能。我们提出的碰撞分离技术通过结合天线阵列提供的空间分集和媒体访问控制(MAC)层提供的网络分集,克服了IEEE 802.11请求-发送-清除-发送(RTS-CTS)握手的缺点。在这项工作中,屏蔽节点产生的碰撞报文不被丢弃,而是被存储,并与选择的重传报文结合,将不同节点的数据分离。通过马尔可夫链模型分析了网络中节点的稳态。同时对网络性能和延迟性能进行了研究。与网络辅助分集多址(NDMA)相比,我们提出的方法,即空间和网络分集组合,简称SNDC,可以提供更高的吞吐量和更低的延迟性能。
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引用次数: 2
Exploring the neural state space learning from one-dimension chaotic time series 探索一维混沌时间序列的神经状态空间学习
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461230
Zhiwei Shi, Min Han, Jianhui Xi
Because the chaotic system is initial condition sensitive, it is difficult to decide a proper initial state for a recurrent neural network to model observed one-dimension chaotic time series. In this paper, a recurrent neural network with feedback composed of internal state is introduced to model one-dimension chaotic time series. The neural network output is a nonlinear combination of the internal state variable. To successfully model a chaotic time series, this paper proves that the recurrent neural network with internal state can start from arbitrary initial state. In the simulation, the neural systems perform multi-step ahead prediction, also, the reconstructed neural state space is compared with the original state space, and largest LEs (Lyapunov exponents) of the two systems are calculated and compared to see if the two systems have similar chaotic invariant.
由于混沌系统是初始条件敏感的,因此很难确定一个合适的初始状态,使递归神经网络对观测到的一维混沌时间序列进行建模。本文引入一种由内部状态组成反馈的递归神经网络对一维混沌时间序列进行建模。神经网络的输出是内部状态变量的非线性组合。为了成功地对混沌时间序列进行建模,证明了具有内状态的递归神经网络可以从任意初始状态出发。在仿真中,神经系统进行多步超前预测,并将重构后的神经系统状态空间与原始状态空间进行比较,计算并比较两个系统的最大LEs (Lyapunov指数),看两个系统是否具有相似的混沌不变量。
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引用次数: 1
A coordination algorithm for road traffic control measures 道路交通控制措施的协调算法
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461156
J. Vrancken
This paper proposes a coordination algorithm for road traffic control measures, which would greatly extend the set of possible control measures that can be applied simultaneously. It is based on experiences with motorway traffic management in the Netherlands. It is also a case study in combining hierarchical control with coordination and cooperation mechanisms. The algorithm deals only with soundness of sets of simultaneously applied control measures, which is a necessary condition for the synergy of the applied measures. The essence of the algorithm is a translation of traffic control measures into so-called atomic effects on lane segments. The paper also describes the implementation strategy for the algorithm.
本文提出了一种道路交通控制措施协调算法,可以极大地扩展可同时应用的控制措施集合。它基于荷兰高速公路交通管理的经验。这也是层次控制与协调合作机制相结合的案例研究。该算法只考虑同时应用的控制措施集合的稳健性,这是控制措施协同的必要条件。该算法的本质是将交通控制措施转化为对车道段的所谓原子效应。文中还介绍了该算法的实现策略。
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引用次数: 4
Study on multi-bases coordination technology based on IADS and "Softman" in DSS 基于IADS和“Softman”的决策支持系统多基地协调技术研究
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461323
Pang Jie, Zhang Wei, Z. Fusheng, Tu Xuyan, Zeng Guangping
In order to improve the present technology of MBC (multi-bases coordination), in this paper, the idea of developing MBC system based on intelligent autonomous decentralized system (IADS) and "Softman" is proposed, and software models applied in decision support system are given.
为了改进现有的多基地协调(MBC)技术,提出了基于智能自治分散系统(IADS)和Softman开发多基地协调系统的思想,并给出了在决策支持系统中应用的软件模型。
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引用次数: 1
Timing-controlled, low-energy data query in wireless sensor networks: towards a cross-layer optimization approach 无线传感器网络中定时控制的低能耗数据查询:面向跨层优化方法
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461339
Fei Hu, A. Teredesai, Hongyi Wu
Data query in a large-scale wireless sensor network should be based on a low-energy and scalable routing scheme. In this paper, we propose a ripple-tree-zone-based intra-zone/inter-zone routing scheme to significantly lower the communication overhead associated with data queries in wireless sensor networks. We do not separate the design of routing layer and MAC layer as suggested by most of existing WSN stacks. This enables us to greatly extend the sleep/dormant periods of sensor nodes through a parameter exchange between the routing and MAC layers. Thus, we achieve a much longer network lifetime. Another contribution outlined in this paper includes a novel timing control scheme between neighboring levels of sensors in the query tree to achieve a good trade-off between data aggregation accuracy and query delay. We perform extended simulations to verify the low-energy of our query scheme.
在大规模无线传感器网络中,数据查询应该基于一种低能耗、可扩展的路由方案。在本文中,我们提出了一种基于波纹树区域的区域内/区域间路由方案,以显着降低无线传感器网络中与数据查询相关的通信开销。我们没有像大多数现有WSN栈那样将路由层和MAC层分开设计。这使我们能够通过路由层和MAC层之间的参数交换大大延长传感器节点的睡眠/休眠周期。因此,我们实现了更长的网络生命周期。本文概述的另一个贡献包括查询树中相邻传感器级别之间的新的定时控制方案,以实现数据聚合精度和查询延迟之间的良好权衡。通过扩展仿真验证了该查询方案的低能耗。
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引用次数: 2
A comparison of several algorithms for collaborative filtering in startup stage 几种启动阶段协同过滤算法的比较
Pub Date : 2005-03-19 DOI: 10.1109/ICNSC.2005.1461154
Xiaohua Sun, Fansheng Kong, Song Ye
Collaborative filtering is becoming a popular technique for reducing information overload. Many algorithms have been proposed for collaborative filtering. The performance of a recommended system during the startup stage is crucial to the system. If recommendation is close to what an user really want, the user would be glad to use the system later, else he may never make use of it again. In this paper, we compare the performance results of four collaborative filtering algorithms applied in the startup stage of recommendation. We evaluate these algorithms using three publicly available datasets. Our experiments results show that Pearson and STIN1 methods perform better than latent class model (LCM) and singular value decomposition (SVD) methods during the startup stage. The experimental results confirm that the characteristics of datasets keep being an important factor in the performance of methods.
协同过滤正在成为一种减少信息过载的流行技术。人们提出了许多用于协同过滤的算法。推荐系统在启动阶段的性能对系统至关重要。如果推荐接近用户真正想要的,用户会很乐意以后再使用该系统,否则他可能永远不会再使用它。在本文中,我们比较了四种协同过滤算法在推荐启动阶段的性能结果。我们使用三个公开可用的数据集来评估这些算法。实验结果表明,在启动阶段,Pearson和STIN1方法的性能优于潜在类模型(LCM)和奇异值分解(SVD)方法。实验结果证实,数据集的特性一直是影响方法性能的重要因素。
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引用次数: 36
期刊
Proceedings. 2005 IEEE Networking, Sensing and Control, 2005.
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