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2012 Second International Conference on Intelligent System Design and Engineering Application最新文献

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Multitask of Aerospace Based Access Control Model 基于航天的多任务访问控制模型
Sun Shi-guo, Lu Senlin, Li Bo, Liu Bin
As more aerospace task are performed, the security of network which provide channel for the aerospace task is gradually recognized. Firstly, this paper discuss that the access control problem about multitask parallel processing. And then, It carry on the modeling According to the characteristics of multitask. In the end of the paper security of system is analyzed.
随着航空航天任务的增多,为航空航天任务提供通道的网络的安全性逐渐被人们所认识。本文首先讨论了多任务并行处理的访问控制问题。然后,根据多任务的特点进行建模。最后对系统的安全性进行了分析。
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引用次数: 2
The Performance Simulation of MIMO/OFDM Networks with Group-Selected Arrays Signal Processing under Imperfect CSI 不完全CSI条件下群选阵列MIMO/OFDM网络性能仿真
Yonghong Qiu, Yahan Pan
Adaptive arrays signal processing at both the transmitter and receiver has been regarded as a key technique with which OFDM can be combined to further improve the performance of wireless network, but they are characterized by a relatively higher implementation complexity. Selection diversity is the simplest way to realize spatial diversity, but the performance improvement of this form of diversity is limited. In this paper, we combine the benefits of these two spatial signal processing and propose a group-selected arrays signal processing approach for MIMO/OFDM networks. In this new scheme, adaptive arrays is group-selected in the spatial domain. Simulation shows that the proposed system can get significant performance improvements over the conventional array based OFDM systems over frequency-selective multipath fading channels with imperfect CSI.
在发送端和接收端同时进行自适应阵列信号处理是OFDM与之结合以进一步提高无线网络性能的关键技术,但其实现复杂性相对较高。选择多样性是实现空间多样性最简单的方式,但这种多样性形式的性能提升有限。在本文中,我们结合了这两种空间信号处理的优点,提出了一种用于MIMO/OFDM网络的组选择阵列信号处理方法。在该方案中,自适应阵列在空间域中进行分组选择。仿真结果表明,与传统的基于阵列的OFDM系统相比,该系统在具有不完全CSI的频率选择多径衰落信道上的性能得到了显著提高。
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引用次数: 0
A Method of Web Service Content Auto-generating Based on AIS 一种基于AIS的Web服务内容自动生成方法
Changyou Zhang, Lixiang Shao, Jichuan Wang, Yuanda Cao
In the evaluation of self-organized algorithm for web service providers, we need a great deal of web service information. And these services should be of natural similar properties by which they will be grouped into several alliances. In this paper, we propose an auto-generating method for web service contents based on artificial immune system. First of all, a semantic tree is designed to define the range of the web service contents. Then, according to this semantic tree, we design a coding scheme for web service content following the principal of genetic variation. Finally, negative selection is imposed on the new content-data in the constraint of the similarity. The experimental results show that the coding scheme and control strategy reduce the complexity of the algorithm. And the visualization results show that these generated content-data get together under the designed algorithm.
在对web服务提供者的自组织算法进行评估时,需要大量的web服务信息。这些服务应该具有天然的相似属性,从而将它们归类为几个联盟。本文提出了一种基于人工免疫系统的web服务内容自动生成方法。首先,设计了一个语义树来定义web服务内容的范围。然后,根据该语义树,我们设计了一个遵循遗传变异原理的web服务内容编码方案。最后,在相似度约束下对新内容数据进行负选择。实验结果表明,该编码方案和控制策略降低了算法的复杂度。可视化结果表明,在设计的算法下,这些生成的内容数据能够很好地融合在一起。
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引用次数: 0
To an Estimation for UWB Localization Basing on Peak-Detection 基于峰值检测的超宽带定位估计
Hong Ding, Linhua Zheng, L. Xiang
In this paper the continuous and discrete ML criteria used in UWB localization will be discussed. Two ToA estimation methods using ML criteria basing on peak-detection will be studied deeply. In search and subtract algorithm, according to the ML criteria, we adjust the observation parameter which is used to calculate the amplitude estimation. We also propose a quick searching method and two corresponding stopping criteria for this algorithm. A cluster-peak-detection-based algorithm will be shown in the paper. We also will discuss its stopping criteria problem.
本文将讨论用于超宽带定位的连续和离散ML准则。本文将深入研究两种基于峰值检测的ML准则的ToA估计方法。在搜索减法算法中,我们根据ML准则调整观测参数,用于计算振幅估计。提出了一种快速搜索方法和两个相应的停止准则。本文将介绍一种基于聚类峰值检测的算法。我们还将讨论它的停止准则问题。
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引用次数: 0
Evaluating Multithreaded Workloads in CMP Virtualization Environment 评估CMP虚拟化环境中的多线程工作负载
Jiawen Li, Xuhao Chen, Li Shen, X. Gan, Zhong Zheng
Xen is popular in Server Consolidation, in which performance evaluation is very important to get the best configuration. However, existed works paid much attention to single-thread benchmarks in SMP, and few works are focused on multithreaded benchmarks in chip-multiprocessors (CMP). Therefore, we dedicate to evaluate Xen hyper visor using a new multithreaded benchmark suit named PARSEC developed for CMP architecture, in which different configurations are tested to conclude rules of running multithreaded applications in Xen virtualization environment. Experimental results show that it is trivial difference between binding DomU's vcpus to share L2 cache cores and not share L2 cache cores. So, we do not need to care the SMP or CMP architecture when running multithreaded applications.
Xen在服务器整合中很流行,在服务器整合中,性能评估对于获得最佳配置非常重要。然而,现有的研究大多关注于SMP的单线程基准测试,而对CMP的多线程基准测试研究较少。因此,我们致力于使用为CMP架构开发的名为PARSEC的新多线程基准套件来评估Xen hypervisor,在该套件中测试了不同的配置,以得出在Xen虚拟化环境中运行多线程应用程序的规则。实验结果表明,绑定DomU的vcpu共享L2缓存内核与不共享L2缓存内核之间的差异很小。因此,在运行多线程应用程序时,我们不需要关心SMP或CMP体系结构。
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引用次数: 1
Dynamic Software Updating for Onboard Software 机载软件的动态软件更新
Weifeng Lv, Xiaochuan Zuo, Lei Wang
Dynamic software updating for onboard software maintains platform's stability, enables onboard regression test, supports dynamic software reconstruction. It enhances satellite reliability and usability. In this paper, we discuss dynamic software updating for onboard software, present a dynamic software updating system.
机载软件的动态软件更新维护了平台的稳定性,实现了机载回归测试,支持动态软件重构。它提高了卫星的可靠性和可用性。本文讨论了机载软件的动态软件更新问题,提出了一种动态软件更新系统。
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引用次数: 4
Landmark-Based Localization for Indoor Mobile Robots with Stereo Vision 基于地标的室内移动机器人立体视觉定位
Hui Zhang, Lingtao Zhang, Jing Dai
This article presented a localization algorithm of indoor mobile robot based on landmark. In order to navigate swiftly, one kind of landmark is designed, which is apt to recognize, convenient to extend. Because of noise error, the position of mobile robot calculated by single landmark is imprecise, so a method for localization of mobile robots was proposed by multiple landmarks. A mobile robot measures directions of landmarks while moving. Target landmarks are changed depending on the situation of the robot. The robot estimates its position by the directions of the landmarks and its moving distance. Experimental results show that the proposed landmark model is effective and achieved accurate localization.
提出了一种基于地标的室内移动机器人定位算法。为了快速导航,设计了一种易于识别,便于延伸的地标。由于存在噪声误差,单地标计算移动机器人位置不精确,提出了一种多地标定位移动机器人的方法。移动机器人在移动时测量地标的方向。目标地标会根据机器人的情况而改变。机器人通过地标的方向和移动距离来估计自己的位置。实验结果表明,所提出的地标模型是有效的,能够实现准确的定位。
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引用次数: 11
RDB-KV: A Cloud Database Framework for Managing Massive Heterogeneous Sensor Stream Data RDB-KV:用于管理海量异构传感器流数据的云数据库框架
Zhiming Ding, Limin Guo, Qi Yang
With the advances in sensor networks and in the Internet of Things, the data management problem for massive heterogeneous sensor data has become a hot research issue. It is obvious that a cloud data management framework for this purpose is greatly desirable. In this paper, we propose a Relational Data-Base and Key-Value store combined Cloud Data management ("RDB-KV CloudDB") framework for managing sensor data. The experimental results show that the RDB-KV CloudDB can provide satisfactory performances in large scale sensor-based systems.
随着传感器网络和物联网的发展,海量异构传感器数据的数据管理问题已成为研究热点。显然,为此目的非常需要一个云数据管理框架。在本文中,我们提出了一个关系数据库和键值存储相结合的云数据管理(“RDB-KV CloudDB”)框架来管理传感器数据。实验结果表明,RDB-KV CloudDB在基于传感器的大型系统中可以提供令人满意的性能。
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引用次数: 10
A Method for Representation of Knowledge and Inference Based on MAS in Fault Diagnosis System 故障诊断系统中一种基于MAS的知识表示与推理方法
Zhang Han, Guo Ruifeng, Geng Cong, Wang Feng, Chen Long
With the development of the distributed artificial intelligence system, multi-agent system (MAS) has been applied in construction of large-scale fault diagnosis systems. Procedure of construction of the knowledge base about fault diagnosis in conventional knowledge models cannot satisfy demands of a synchronism and concurrency of the system. To solve problems mentioned above, a new WFPN model and the corresponding fuzzy reasoning algorithm are proposed in this paper. The effectiveness of this method is verified by simulation. Results show that this model has advantage in building of large-scale fuzzy fault diagnosis systems over conventional knowledge models.
随着分布式人工智能系统的发展,多智能体系统(MAS)已被应用于大规模故障诊断系统的构建。传统知识模型中故障诊断知识库的构建过程不能满足系统的同步性和并发性要求。为了解决上述问题,本文提出了一种新的WFPN模型和相应的模糊推理算法。仿真结果验证了该方法的有效性。结果表明,该模型在构建大规模模糊故障诊断系统方面优于传统的知识模型。
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引用次数: 2
Performance Comparison of MIMO Systems Based on Selective Adaptive Arrays and Selective Space-Time Coding Signal Processing 基于选择性自适应阵列和选择性空时编码信号处理的MIMO系统性能比较
Yahan Pan
Selective adaptive arrays signal processing and selective space-time coding signal processing can reduce the implemental complexity of developing MIMO systems in practice while still having benefits of multiple arrays. In this paper, we evaluate the performance of selective adaptive arrays signal processing and selective space-time block coding signal processing and compare their performance under perfect CSI available at both the transmitter and receiver. By comparing their performance, we see that selective adaptive arrays signal processing outperforms selective space-time coding signal processing when perfect CSI is available at both the transmitter and receiver.
选择性自适应阵列信号处理和选择性空时编码信号处理在保留多阵列优点的同时,在实践中降低了MIMO系统开发的实现复杂性。在本文中,我们评估了选择性自适应阵列信号处理和选择性空时分组编码信号处理的性能,并比较了它们在发射端和接收端均可用的完美CSI下的性能。通过比较它们的性能,我们看到,当发射端和接收端都有完美的CSI时,选择性自适应阵列信号处理优于选择性空时编码信号处理。
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引用次数: 0
期刊
2012 Second International Conference on Intelligent System Design and Engineering Application
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