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2010 IEEE Youth Conference on Information, Computing and Telecommunications最新文献

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Analysis of network user behavior 网络用户行为分析
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713061
Wei Liu, D. Huang, Leyuan Zhang
For better user personalization, this paper explores the collecting and processing method of network users' behavior data with multi-source heterogeneity and analyzes network user behavior on the basis of context by the theory called Situation Awareness. Then, a new efficient algorithm is presented by using internet context to ensure the model of user interest auxiliary. Further, a structure model of analysing network user behavior based on context-aware is designed. All above has provided an effective technical way for discovering the characteristic and changing law of the network user interest.
为了更好地实现用户个性化,本文探索了多源异构网络用户行为数据的收集与处理方法,并运用情境感知理论对基于情境的网络用户行为进行分析。在此基础上,提出了一种利用互联网上下文来保证用户兴趣辅助模型的高效算法。在此基础上,设计了基于上下文感知的网络用户行为分析结构模型。这为发现网络用户兴趣的特征及其变化规律提供了有效的技术途径。
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引用次数: 3
A median computing algorithm based on multi-level space compressed measure-integral 一种基于多级空间压缩测度积分的中值计算算法
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713054
Tang Quan-hua, Lei Jine
A new method for median computation was proposed based on a measure-integral model of median. At first the measure-integral model employs a step function to extend the array for median. Then the definition of function median is presented conforming to the definition of an array's median. The relationship between median and measure-integral is deduced and an algorithm is gained. To search the measure space fast we compress the measure space and get the compressed measure-integral. This is extended to multi-level compressing method at last. At last the start point to search is discussed to reduce the search distance. Experiments and analysis show that computing median with measure-integral has higher speed than known algorithms.
提出了一种基于中值测度积分模型的中值计算方法。首先,测度积分模型采用阶跃函数对中值数组进行扩展。然后根据数组中位数的定义,给出了函数中位数的定义。推导了中值与测度积分之间的关系,并给出了一种算法。为了快速搜索度量空间,我们对度量空间进行压缩,得到压缩后的度量积分。最后将其推广到多级压缩方法。最后讨论了搜索的起始点,以减小搜索距离。实验和分析表明,用测度积分法计算中值的速度比已知算法要快。
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引用次数: 1
The Follow Data Stream Synchronization protocol for deterministic wireless sensor networks 确定性无线传感器网络的跟随数据流同步协议
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713108
Heng Wang, M. Yu, Ping Wang
As WSNs are energy constraint networks, how to eliminate transmission collisions and keep high energy efficiency are as crucial as the accuracy of a clock when selecting synchronization scheme. To achieve the goal, we propose a novel synchronization scheme-FDSS (Follow Data Stream Synchronization). In FDSS, time stamp will be added into the data and ACK frame when a selected node (SN) communicates with the reference node, while other normal nodes will achieve synchronization by overhearing the two frames and using the time information in them. There are no special frames for synchronization, and FDSS can reduce the communication overhead to the minimum. This paper introduces the basic concept of FDSS and investigates how to choose the selected node (SN) to carry time stamp in deterministic scheduled WSNs according to sensors' demanded synchronization period and data packet interval.
由于无线传感器网络是能量约束网络,在选择同步方案时,如何消除传输冲突并保持高能量效率与时钟精度同等重要。为了实现这一目标,我们提出了一种新的同步方案——fdss (Follow Data Stream synchronization)。在FDSS中,当选定节点(SN)与参考节点通信时,在数据帧和ACK帧中加入时间戳,其他正常节点通过监听这两帧并利用其中的时间信息实现同步。没有用于同步的特殊帧,FDSS可以将通信开销降至最低。介绍了FDSS的基本概念,研究了在确定性调度的wsn中,如何根据传感器所需的同步周期和数据包间隔选择携带时间戳的选定节点。
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引用次数: 0
Adaptive cooperative co-evolution for large scale global optimization 大规模全局优化的自适应协同进化
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713074
Yu Wang, Bin Li, Zhengdong Li
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. Previously, the cooperative co-evolution (CC) is a usual and effective choice for LSGO problems. In this paper, aim at more fully exploring the flexibility and potential of CC strategy, an adaptive CC (ACC) is designed to handle LSGO problems. The advantages of ACC compared with the classical CC strategies are experimentally verified on a set of widely used large scale function optimization problems.
大规模全局优化(Large-scale global optimization, LSGO)是优化领域中一项非常重要且具有挑战性的任务,在许多科学和工程应用中都有广泛的应用。以往,合作协同进化(CC)是解决LSGO问题的一种常用而有效的选择。为了更充分地挖掘CC策略的灵活性和潜力,本文设计了一种自适应CC (ACC)来处理LSGO问题。在一组广泛应用的大规模函数优化问题上,实验验证了ACC策略相对于经典CC策略的优势。
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引用次数: 3
GPU-based time parallel cache simulator 基于gpu的时间并行缓存模拟器
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713131
Junjie Ma, Han Wan, Xiaopeng Gao, Xiang Long
We present the design of time parallel trace-driven cache simulation for the purpose of evaluating different cache architectures. Due to the long simulation cycles, traditional sequential simulation methods are no longer practical. An obvious way to achieve fast parallel simulation is time parallel. It splits the whole trace into small slices which are assigned to parallel processors for concurrent simulation. In this paper, we introduce a novel time parallel multi-configuration simulation on single pass method. It exploits time partitioning as the main sources of parallelism and takes the full advantage of the computational capability offered by the Compute Unified Device Architecture (CUDA) on the GPU. Our experimental results demonstrate that the cache simulator based on GPU platform gains 1.91× performance improvement compared to traditional serial algorithm.
为了评估不同的缓存架构,我们提出了时间并行跟踪驱动的缓存仿真设计。由于仿真周期长,传统的顺序仿真方法已不再适用。实现快速并行仿真的一个明显方法是时间并行。它将整个跟踪分割成小块,分配给并行处理器进行并发模拟。本文介绍了一种新的单通道时间并行多组态仿真方法。它利用时间分区作为并行性的主要来源,并充分利用GPU上的计算统一设备架构(CUDA)提供的计算能力。实验结果表明,与传统串行算法相比,基于GPU平台的缓存模拟器性能提高了1.91倍。
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引用次数: 1
The evaluation method of sensor location for transmission fault diagnosis 变速器故障诊断中传感器定位的评估方法
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713077
Zhou Xiao-feng, Shi Hai-bo, Shang Wen-li
In the experiments of the transmission fault diagnosis, acquiring vibration signals from three measurement locations by multi-sensors. Using improved fastICA algorithm to de-nosing and order analysis algorithm to get the order spectrum, the paper proposed two evaluation indexes. According to the experiment result by using evaluation indexes, the fault characteristics contained in the vibration signals from three measurement locations are different. Then, the best location can be chosen as measurement location to improve the accuracy of fault diagnosis.
在变速器故障诊断实验中,采用多传感器从三个测量点获取振动信号。利用改进的fastICA算法去噪和阶数分析算法获取阶数谱,提出了两个评价指标。根据评价指标的实验结果,三个测点的振动信号所包含的故障特征是不同的。然后选择最佳位置作为测量位置,以提高故障诊断的精度。
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引用次数: 0
Iterated square root unscented Kalman particle filter 迭代平方根无气味卡尔曼粒子滤波
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713085
Guohui Li, Hong Yang
In order to improve tracking estimation accuracy of square-root unscented Kalman particle filter (SRUKFPF), a new particle filter algorithm of update SRUKF based on iterated measurements is proposed. The algorithm produces the important density function of particle filter using maximum posteriori estimate of iterated square-root unscented Kalman filter, and amends the state covariance using Levenberg-Marquardt method, so that the observed information of particle is effectively used. This is more consistent with the posterior probability distribution of true state. Simulation results show that estimation performance of the proposed algorithm is much better than standard particle filter (PF), unscented particle filter (UPF) and square root unscented Kalman particle filter (SRUKFPF).
为了提高平方根无气味卡尔曼粒子滤波(SRUKFPF)的跟踪估计精度,提出了一种基于迭代测量的更新SRUKFPF的粒子滤波算法。该算法利用迭代平方根无气味卡尔曼滤波的最大后验估计产生粒子滤波的重要密度函数,并利用Levenberg-Marquardt方法修正状态协方差,使粒子的观测信息得到有效利用。这更符合真实状态的后验概率分布。仿真结果表明,该算法的估计性能明显优于标准粒子滤波(PF)、无气味粒子滤波(UPF)和平方根无气味卡尔曼粒子滤波(SRUKFPF)。
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引用次数: 2
An IGSTK-based surgical navigation system connected with medical robot 一种基于igst的与医疗机器人连接的手术导航系统
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713149
Huoling Luo, F. Jia, Z. Zheng, Q. Hu, Yongzhong Xu
A surgical navigation system based on IGSTK (Image-Guided Surgical Toolkit) that guide medical robot to drill pedicle screw into vertebra precisely is presented. The surgical location device used is NDI Polaris Vicra® optical tracking system and the assistance robot is KUKA® Robot KR 5 sixx R650. Message communication between the navigation system and KUKA robot is implemented based on OpenIGTLink protocol client-server model. Multiple tracked tools can be tracked automatically by state-machine mechanism in a safe manner. To overcome the line of sight limitation of optical tracking system, a new instrument that we called it two-face instrument model has developed to enlarge the rotation angle of the tracked tool. The experiment showed that the navigation could guide robot to execute precise surgical operation in a simple and safe mode.
提出了一种基于IGSTK (Image-Guided surgical Toolkit)的手术导航系统,用于指导医疗机器人精确地将椎弓根螺钉钻入椎体。手术定位设备为NDI Polaris Vicra®光学跟踪系统,辅助机器人为KUKA®robot KR 5sixx R650。导航系统与库卡机器人之间的消息通信基于OpenIGTLink协议客户端-服务器模型实现。多跟踪工具可以通过状态机机制以安全的方式自动跟踪。为了克服光学跟踪系统的视线限制,我们开发了一种新的仪器,称为双面仪器模型,以扩大被跟踪工具的旋转角度。实验表明,该导航系统能够以简单、安全的方式引导机器人进行精确的手术操作。
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引用次数: 5
An optimal cooperative spectrum sensing scheme based on linear coherent MAC under interference temperature constraints 干扰温度约束下基于线性相干MAC的最优协同频谱感知方案
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713140
Zhong Chen, Xianda Zhang, Liang Zeng
In this paper, we consider a cognitive radio (CR) system in non-ideal fading wireless channels and propose a cooperative spectrum sensing scheme based on coherent multiple access channel (MAC) serving as an alternative way to improve the cooperative spectrum sensing performance. We assume that the gains of the observations and transmission channels are all known which is available since we use standard preamble-aided channel estimation techniques to require channel state information. The key feature of the proposed scheme is that energy of the observations is transmitted by amplify and forward transmission from cognitive users (CUs) to a fusion center (FC) and a linear combiner at FC. Optimal weighting coefficients of the proposed scheme are got by maximizing the detection probability under a target false alarm probability and transmit power constraint. The effectiveness of the proposed scheme is verified by the simulations.
本文考虑非理想衰落无线信道中的认知无线电系统,提出了一种基于相干多址信道(MAC)的协同频谱感知方案,作为提高协同频谱感知性能的备选方案。我们假设观测和传输信道的增益都是已知的,这是可用的,因为我们使用标准的前置辅助信道估计技术来需要信道状态信息。该方案的主要特点是将观测值的能量通过放大和前向传输从认知用户(cu)传输到融合中心(FC)和FC的线性组合器。在目标虚警概率和发射功率约束下,通过最大化检测概率得到该方案的最优加权系数。仿真结果验证了该方案的有效性。
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引用次数: 1
HDGS bandstop filter design by FGA 用FGA设计HDGS带阻滤波器
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713138
Dong Yan, Xiaoping Zeng, Kai Zhang
A new fuzzy genetic algorithm (FGA) is developed to optimize Hilbert fractal defected ground structure (HDGS), designed bandstop filter. The genetic operators (crossover and mutation) are self-adaptively adjusted by fuzzy controller of the algorithm, so convergent character and global optimization are improved. Fitness function is constructed by the HDGS stopband and pass-band transmission characteristics S21. S21 is obtained by using PML- FDTD method. To 500M-3GHz band center frequency of 2.4GHz, 200MHz bandwidth, the band stop filter is designed to target. The simulation results show that this method than the traditional genetic algorithm, faster convergence rate, and bandstop filter designed HDGS with large stop-band insertion loss and return loss, flat pass-band characteristics.
提出了一种新的模糊遗传算法(FGA)来优化希尔伯特分形缺陷地面结构(HDGS),并设计了带阻滤波器。通过模糊控制器对遗传算子(交叉和变异)进行自适应调整,提高了算法的收敛性和全局寻优性。适应度函数由HDGS阻带和通带传输特性S21构造。S21是用PML- FDTD方法得到的。以500M-3GHz频带中心频率2.4GHz、200MHz带宽为目标,设计了带阻滤波器。仿真结果表明,该方法比传统的遗传算法收敛速度更快,并且设计的HDGS带阻滤波器具有大的阻带插入损耗和回波损耗,平坦的通带特性。
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引用次数: 5
期刊
2010 IEEE Youth Conference on Information, Computing and Telecommunications
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