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Resource Allocation Algorithm of Joint Channel Quality Evaluation Based on Non-cooperative Game in Cognitive Radio Network ? 认知无线网络中基于非合作博弈的联合信道质量评价资源分配算法
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105389
Lin Li, Yi-na Deng, Xingang Xie, Wenjiang Feng
For the centralized cognitive radio network, a resource allocation algorithm of joint channel quality evaluation based on non-cooperative game is proposed. The utility function for the game module considers both the receiving SINR threshold and transmitted power and tries to reduce interference as much as possible on the basis of guaranteeing the QoS demands for various services. The available channels can be evaluated through primary users occupying channel time and channel idle/occupied switching times. CR-BS (Cognitive Radio Base Station) calculates queue priority in a scheduling cycle based on users’ difierent services and dynamically adjusts service opportunities for realtime services and non-realtime services, which can provide difierential services and guarantee the equality for difierent services. The simulation shows that the proposed algorithm converges fast, can still ensures each user’s SINR value higher than its QoS demand threshold in low SNR environment, reduce the interference to primary users, and enhance network performance.
针对集中式认知无线网络,提出了一种基于非合作博弈的联合信道质量评估资源分配算法。游戏模块的效用函数同时考虑接收SINR阈值和发射功率,在保证各种业务的QoS需求的基础上尽量减少干扰。可用信道可以通过主要用户占用信道时间和信道空闲/占用的交换时间来评估。CR-BS (Cognitive Radio Base Station)基于用户的不同业务,在调度周期内计算队列优先级,动态调整实时业务和非实时业务的服务机会,提供差异化服务,保证不同业务的公平性。仿真结果表明,该算法收敛速度快,在低信噪比环境下仍能保证每个用户的信噪比值高于其QoS需求阈值,减少对主用户的干扰,提高网络性能。
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引用次数: 0
The Evaluation of Port Service Efficiency Based on Markov Queuing Network 基于马尔可夫排队网络的港口服务效率评价
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105384
Hai Xiao, Xinxue Liu, Yaxiong Li, Jian Wu
Research on the service e‐ciency of port is signiflcance to port resource optimal allocation. On the basic of the analysis of port logistics operation mechanism, clearing the state transfer relationship in the port logistics service model, and puts forward some reasonable assumptions, establishing a port service e‐ciency evaluation model based on Markov queuing network, presents a method for calculating the e‐ciency of port services. At last, the example analysis indicates that the model achieves the quantitative assessment of the port service e‐ciency reasonably.
港口服务效率的研究对港口资源的优化配置具有重要意义。在分析港口物流运行机制的基础上,理清港口物流服务模型中的状态转移关系,并提出一些合理的假设,建立了基于马尔可夫排队网络的港口服务效率评价模型,提出了港口服务效率的计算方法。实例分析表明,该模型能较好地实现对港口服务效率的定量评价。
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引用次数: 0
A Scalable Uniform Localization Performance Evaluated Model and Performance Analysis of Range-free Algorithms in WSN ? 一种可扩展的统一定位性能评估模型及无距离定位算法的性能分析
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105436
Hongyu Sun, Zhiyi Fang, Zhiqiang Chen, Jin He
In this paper, we investigated and solved two issues in the research of Wireless Sensor Network (WSN). Firstly, we proposed a Scalable Uniform Localization Performance evaluated model (SULP evaluated model). There are two parts of this model, modules and data structures, both of them can be customized and extended by users as they need. By using this model researchers can save more time because they pay more attention to the algorithm itself but not to the evaluate environment and parameters. Secondly, we investigated the impacts of communications radius and anchor node ratio on localization algorithms. Four classical algorithms have been evaluated under the scalable model. Experimental results show that the performance including localization error rate, localization cover rate and energy consumption have difierent trends when communication radius and anchor node ratio changing in a reasonable range. Finally we concluded the regulars of the trends to provide instructions to industrial applications and other researchers.
本文研究并解决了无线传感器网络(WSN)研究中的两个问题。首先,提出了一种可伸缩的统一定位性能评估模型(SULP评估模型)。该模型分为模块和数据结构两部分,用户可以根据需要进行定制和扩展。使用该模型可以节省更多的时间,因为研究人员更关注算法本身,而不是评估环境和参数。其次,研究了通信半径和锚节点比例对定位算法的影响。在可扩展模型下对四种经典算法进行了评价。实验结果表明,当通信半径和锚节点比在合理范围内变化时,定位错误率、定位覆盖率和能量消耗等性能有不同的变化趋势。最后,我们总结了这些趋势的规律,为工业应用和其他研究者提供指导。
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引用次数: 1
A web page classification algorithm based on feature selection(EI) 一种基于特征选择的网页分类算法
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105546
Jie Guo, Hongfang Zhou
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引用次数: 2
Research on the Suppression of GMR Interference in WCDMA Satellite System WCDMA卫星系统中GMR干扰抑制研究
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105509
Jinxi Qian
As the satellite and space spectrum resource are constrained, most time, the WCDMA (Wideband Code Division Multiple Access) satellite system and the GMR (GEO-mobile radio interface) system have to transport information in the same frequency band. In this case the main interference is the narrowband interference which comes from the GMR system. The paper researched the method of the narrowband interference suppression in the WCDMA satellite system. Furthermore, because the WCDMA system also contains a multi-access interference, the paper proposed a code-aided interference suppression technology, which can suppress both the MAI (Multiple Address Interference) and NBI (Narrow Band Interference), into the WCDMA satellite system to eliminate the GMR interference. Theoretic analysis and system simulation show that, the GMR signal interference can effectively be inhibited with a more mature and better MMSE (Minimum Mean Square Error) and ZF (Zero-force) code-aided technology, the co-channel transmission performance of the WCDMA systems can be protected well.
由于卫星和空间频谱资源的限制,在大多数情况下,WCDMA(宽带码分多址)卫星系统和GMR (GEO-mobile radio interface)系统必须在同一频带上传输信息。在这种情况下,主要的干扰是来自GMR系统的窄带干扰。研究了WCDMA卫星系统中窄带干扰的抑制方法。此外,由于WCDMA系统中还存在多址干扰,本文提出了一种码辅助干扰抑制技术,该技术可以抑制多址干扰(MAI)和窄带干扰(NBI)进入WCDMA卫星系统,以消除GMR干扰。理论分析和系统仿真表明,采用较为成熟、性能较好的MMSE (Minimum Mean Square Error,最小均方误差)和ZF (Zero-force,零力)编码辅助技术可以有效抑制GMR信号干扰,很好地保护WCDMA系统的同信道传输性能。
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引用次数: 0
Research on Lightning Protection Simulation of High-speed Railway Catenary Based on ATP-EMTP ? 基于ATP-EMTP的高速铁路接触网防雷仿真研究
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105529
Yuxin Yang, Youpeng Zhang
Lightning activities have a serious impact on the safe and reliable operation of high-speed railway. In order to make a proper assessment to lightning current withstand capacity of overhead contact line equipment, according to the improved electrical geometric model, the sites of contact netease by lightning were analyzed flrstly, then based on the ATP-EMTP software, lightning catenary model was established, and the lightning resisting levels of overhead contact line equipment under difierent in∞uencing factors were simulated. The results show that the catenary pillar, AF line and T line are highly vulnerable to lightning hazards. When lightning pillar, the lightning resisting level was under 7.1 kA. When lightning suspension wire, the lightning resisting level was under 2.5 kA. The level of lighting resistance can be enhanced when PW line was set up, but the levels of overhead contact line equipment will reduce after considering the power frequency voltage.
雷电活动严重影响高速铁路的安全可靠运行。为了合理评估架空接触线设备的耐雷击电流能力,根据改进的电气几何模型,首先对架空接触线设备的雷击接触点进行了分析,然后基于ATP-EMTP软件建立了雷电接触网模型,模拟了架空接触线设备在不同影响因素下的耐雷击水平。结果表明,接触网柱、AF线和T线极易受到雷击危害。避雷柱时,抗雷击电平在7.1 kA以下。避雷悬吊线时,抗雷击电平在2.5 kA以下。设置PW线可以提高抗雷水平,但考虑工频电压后,架空接触线设备的抗雷水平会降低。
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引用次数: 3
Online Motion Segmentation Based on Sparse Subspace Clustering 基于稀疏子空间聚类的在线运动分割
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105521
Jianting Wang, Zhongqian Fu
We consider the problem of online motion segmentation for video streams. Most existing motion segmentation algorithms based on subspace clustering operate in a batch fashion. The main di‐culty of applying these algorithms to real-world applications is that their e‐ciencies can hardly meet the speed requirement when dealing with video streams. In this paper, we propose an online motion segmentation method based on Sparse Subspace Clustering (SSC). Two strategies are adopted in our approach, namely the incremental Principal Component Analysis (PCA) and a warm start from previously obtained Sparse Representation (SR), to accelerate the dimension reduction and SSC in each trail. Through extensive experiments on both synthetic and real-world data sets, we conclude that our algorithm can achieve a signiflcant acceleration under a comparable misclassiflcation rate with respect to other state-of-the-art algorithms.
我们研究视频流的在线运动分割问题。大多数现有的基于子空间聚类的运动分割算法都是以批处理的方式运行的。将这些算法应用于实际应用的主要困难是,当处理视频流时,它们的效率很难满足速度要求。本文提出了一种基于稀疏子空间聚类(SSC)的在线运动分割方法。我们的方法采用了两种策略,即增量主成分分析(PCA)和先前获得的稀疏表示(SR)的热启动,以加速每条线索的降维和SSC。通过对合成数据集和真实世界数据集的广泛实验,我们得出结论,与其他最先进的算法相比,我们的算法可以在相当的误分类率下实现显着的加速。
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引用次数: 2
The Method for Time Series Based on Symbolic Form and Area Difference 基于符号形式和面积差分的时间序列处理方法
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105495
Yan Wang, Yuanyuan Su
Symbolic Aggregate Approximation (SAX) is a popular algorithm in the symbolic methods, but it doesn’t take the form characteristic of sequence into consideration and its description of time series information is incomplete. In this paper, a method for time series based on symbolic form and area difierence is introduced. This method applies the idea of layered in unvaried-time series similarity measure to combine the symbolic method with the area of sequence and coordinate axis, and the similarity can be searched from the rough to the subtle. Ultimately, not only can the overall trend of sequence be matched, but also the goal of fltting can be reached in detail. The experiments show that this method can be used efiectively for time series similarity matching.
SAX (Symbolic Aggregate Approximation)是符号方法中比较流行的一种算法,但它没有考虑序列的形式特征,对时间序列信息的描述不完整。本文介绍了一种基于符号形式和面积差分的时间序列识别方法。该方法将不变时间序列相似性度量中的分层思想与序列面积和坐标轴的符号化方法相结合,实现了从粗到细的相似性搜索。最终,不仅可以匹配序列的整体趋势,而且可以达到详细的裁剪目标。实验表明,该方法可以有效地用于时间序列相似度匹配。
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引用次数: 2
Highlighting the Fake Reviews in Review Sequence with the Suspicious Contents and Behaviours 突出审查序列中存在可疑内容和行为的虚假评论
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105452
You Li, Yuming Lin, Jingwei Zhang, Jun Li, Lingzhong Zhao
Online review plays a crucial role in many current e-commerce applications. However, fake reviews would mislead users. Therefore, detecting such reviews is an important task for safeguarding the interests of users. But the review sequence has been neglected by the former work. In this paper, we explore the issue on fake review detection in review sequence, which is crucial for implementing online anti-opinion spam. We first analyze the characteristics of fake reviews. Based on review contents and reviewer behaviors, six time sensitive features are proposed to find the fake reviews. And then, we devise two type of detection methods, the supervised and the threshold-based, for spotting the fake reviews as early as possible. Finally, we carry out intensive experiments on a real-world review set to verify the effectiveness of our methods. The experimental results show that our methods can identify the fake reviews orderly with high precision and recall.
在线评论在当前许多电子商务应用中起着至关重要的作用。然而,虚假评论会误导用户。因此,检测此类评论是维护用户利益的一项重要任务。但以往的研究忽略了复习顺序。在本文中,我们探讨了评论序列中的虚假评论检测问题,这是实施在线反意见垃圾邮件的关键。我们首先分析虚假评论的特点。基于评论内容和评论者行为,提出了六个时间敏感特征来识别虚假评论。然后,我们设计了两种类型的检测方法,即监督和基于阈值的检测方法,以便尽早发现虚假评论。最后,我们在一个真实世界的回顾集上进行了大量的实验来验证我们方法的有效性。实验结果表明,该方法能够有序地识别虚假评论,具有较高的准确率和召回率。
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引用次数: 10
Self-similarity of Edge Weights and Community Detection in Weighted Networks ? 加权网络中边权的自相似度与社区检测?
Pub Date : 2015-03-01 DOI: 10.12733/JICS20105538
Yi Shen, Jiale Xu, Yang Liu, Shuang Liu, Yuancheng Xie
In this paper, we present the concept of self-similarity of edge weights, and propose a new deflnition of weighted communities, that groups of nodes in which the edge weights distribute uniformly but between which they distribute randomly, based on the concept. This deflnition of weighted communities is difierent form the conventional one that groups of nodes in which the edge weights are large while between which they are small, and can be used to reveal the steady connections between nodes or some similarity between nodes’ functions. In order to detect such communities, we propose a corresponding weighted modularity Q SW and a modifled spectral optimization algorithm. We apply our method to several compute-generated networks and real networks, the experiment results clearly show the functions of our method. Furthermore, by changing ‚ which we use for evaluating the equivalence of edge weights, we can discover a special hierarchical organization describing the various steady connections between nodes in groups with our method.
在本文中,我们提出了边权自相似的概念,并在此基础上提出了一种新的加权社团缩窄法,即边权均匀分布而边权随机分布的节点群。这种加权社区的压缩不同于传统的边权大而边权小的节点组,可以用来揭示节点之间的稳定联系或节点之间的功能之间的某种相似性。为了检测这些群体,我们提出了相应的加权模块化qsw和改进的频谱优化算法。将该方法应用于几个计算机生成的网络和实际网络,实验结果清楚地显示了该方法的功能。此外,通过对边缘权值等价性的评价,我们可以发现一种特殊的层次组织,该组织描述了组中节点之间的各种稳定连接。
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引用次数: 0
期刊
The Journal of Information and Computational Science
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