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

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An automatic normalized cut topic segmentation approach 一种自动规范化切分主题的方法
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713130
Yuanyuan Jin, Bao-jian Gao, Ziran Zhang
This paper presents an automatic topic segmentation approach based on subwords normalized cut (Ncut) for Chinese broadcast news, since the classical Ncut has a limitation that the number of segments has to be set as a prior. We abstract a text into a weighted undirected graph, where the nodes correspond to sentences and the weights of edges describe inter-sentence lexical similarities at Chinese subwords level, thus the segmentation task is formalized as a graph-partitioning problem under the Ncut criterion. In order to break through the limitation, we proposed a text dotplotting inspired method, which can evaluate the segmentation results and select the optimal number of segments automatically. Lastly, we put the whole approach into a machine learning framework, learning the best arguments on train set. Our method achieved relative improvement of 3% over non-automatic subwords Ncut, also the previous best method.
摘要针对传统的中文广播新闻分段归一化切割(Ncut)存在分段个数必须作为先验条件的局限性,提出了一种基于子词归一化切割的中文广播新闻自动话题分割方法。我们将文本抽象成一个加权无向图,其中节点对应句子,边的权重描述句子间在中文子词层面的词汇相似度,从而将分词任务形式化为Ncut准则下的图划分问题。为了突破这一局限,我们提出了一种文本点图启发的分割方法,该方法可以自动评估分割结果并选择最优的分割数量。最后,我们将整个方法放入机器学习框架中,学习火车集上的最佳参数。我们的方法比非自动子词Ncut(也是之前的最佳方法)实现了3%的相对改进。
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引用次数: 0
Improved genetic algorithm and neural network method and the application in fault diagnosis of valve diesel engine 改进的遗传算法和神经网络方法及其在气门柴油机故障诊断中的应用
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713124
Wang Xin, Yu Hongliang, Zhang Lin
As the shortcomings of BP neural network slow convergence rate, falling into local minimum easily and difficult to determine the number of hidden nodes accurately, the number of hidden nodes, weights and threshold of BP neural network were optimized, using binary and real number hybrid coding based on genetic algorithms with global searching ability. Finally, the method tested with WD615 diesel engine valve fault diagnosis data. Experimental results showed that this algorithm has obvious advantages, it is able to overcome the deficiencies of BP neural network, and improves the network's learning ability.
针对BP神经网络收敛速度慢、易陷入局部极小且难以准确确定隐藏节点数的缺点,采用具有全局搜索能力的遗传算法,采用二值和实数混合编码对BP神经网络的隐藏节点数、权值和阈值进行优化。最后,用WD615柴油机气门故障诊断数据对该方法进行了测试。实验结果表明,该算法具有明显的优势,能够克服BP神经网络的不足,提高网络的学习能力。
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引用次数: 1
A guaranteed cost control for autonomous vehicle platoon with communication constraints 具有通信约束的自动驾驶车辆排的保证成本控制
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713071
Ji-hua Cao
A guaranteed cost control method for autonomous vehicle platoon with communication constraints (such as quantization, time-delay and packet-losses) is developed in this paper. Firstly, a vehicle model is established for the platoon's longitudinal movement, which is shown to be a great improvement of the existing models in that networked communication constraints are considered. Then, a guaranteed cost control algorithm is presented to overcome the communication constraints on the platoon. Under this controller, the platoon can be stable. The effectiveness of the proposed robust controller is demonstrated by simulation studies.
提出了一种具有通信约束(如量化、时延和丢包)的自动驾驶车辆队列的保成本控制方法。首先,建立了车队纵向运动的车辆模型,该模型考虑了网络通信约束,对现有模型有很大改进;然后,提出了一种保证成本控制算法,以克服排的通信约束。在这个控制器下,排是稳定的。仿真研究证明了所提鲁棒控制器的有效性。
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引用次数: 1
Gross profit maximization and optimal power allocation for spectrum-sharing based on elastic controllable interference in Rayleigh fading channels 基于瑞利衰落信道弹性可控干扰的频谱共享毛利最大化与最优功率分配
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713051
Errong Pei, Sheng Wang, Zhizhong Zhang
Unlike traditional spectrum sharing model with a predetermined fixed interference threshold at the primary receiver, in the paper we consider a new spectrum sharing model with a elastic controllable interference varying between 0 and bottom threshold that is maximum the primary receiver can tolerated, and we introduce a seller's market trading mechanism in order to fully exploit the interference room, as has very important practical significance. In the context, we investigate the secondary user's (SU's) maximal gross profit and optimal power allocation scheme in Rayleigh fading environment, and also study the interference price and average revenue of SU's impact on them. Numerical calculation results are conducted to verify our theoretical results.
与传统的主接收机固定干扰阈值的频谱共享模型不同,本文考虑了一种新的频谱共享模型,该模型具有弹性可控的干扰值在0和下阈值之间变化,即主接收机所能容忍的最大值,并引入卖方市场交易机制,以充分利用干扰空间,具有非常重要的现实意义。在此背景下,研究了二次用户在瑞利衰落环境下的最大毛利和最优功率分配方案,并研究了二次用户的干扰价格和平均收益对二次用户的影响。数值计算结果验证了理论结果。
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引用次数: 0
Bandwidth allocation on video content distribution servers 视频内容分发服务器的带宽分配
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713091
R. Han, Xuewen Zeng, Peng Sun
Video streaming applications have implementation issues when the transmission rate is much less than the video playback rate. Caching the beginning part of the video in large storage device before playing is a common solution. In this paper, we propose a bandwidth allocation scheme on video content distribution servers. This algorithm is aim to control the server sending rate with efficient bandwidth resource allocation. In order to reduce the impact of network rate jitter, we present a client cache scheme considering the average receiving rate. On servers, on-line clients are grouped into three queues based on different serving stages: playing, downloading or waiting to play. The sending rate is allocated to each client dynamically. Clients who are watching video have the highest priority. For the waiting clients, a weighted bandwidth allocation approach is presented to minimize users' waiting time. The simulation results show that the proposed bandwidth allocation scheme can achieve a high performance.
视频流应用在传输速率远低于视频播放速率时存在实现问题。在播放之前将视频的开头部分缓存到大型存储设备中是一种常见的解决方案。本文提出了一种基于视频内容分发服务器的带宽分配方案。该算法的目的是控制服务器发送速率,有效地分配带宽资源。为了减少网络速率抖动的影响,我们提出了一种考虑平均接收速率的客户端缓存方案。在服务器上,在线客户端根据不同的服务阶段分为三个队列:播放、下载或等待播放。发送速率是动态分配给每个客户端的。正在看视频的客户优先级最高。对于等待客户端,提出了一种加权带宽分配方法,以最大限度地减少用户的等待时间。仿真结果表明,所提出的带宽分配方案能够达到较高的性能。
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引用次数: 0
HIP-based network mobility management for WSN 基于hip的WSN网络移动性管理
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713132
Qianbin Chen, Haijun Hu, Ya-Lai Zhao, Rong Chai
Group mobility in WSN is of particular importance as it is can be found in many practical application scenarios. In this paper, we propose to combine HIP and NEMO protocol for supporting group mobility in WSN. The overview of HIP and NEMO protocol is introduced and the new network architecture for applying HIP and NEMO protocol in WSN is proposed, which enhances mobility management, network security and host multi-homing for WSN. The corresponding group mobility management mechanism and signaling process are discussed.
在无线传感器网络中,群体移动性是一个非常重要的问题,因为它可以在许多实际应用场景中找到。本文提出将HIP协议和NEMO协议相结合,支持无线传感器网络中的群体移动性。介绍了HIP和NEMO协议的概况,提出了在无线传感器网络中应用HIP和NEMO协议的新网络架构,提高了无线传感器网络的移动性管理、网络安全性和主机多归属。讨论了相应的群迁移管理机制和信令过程。
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引用次数: 1
Joint cooperative spectrum sensing and resource scheduling for cognitive radio networks with soft sensing information 基于软感知信息的认知无线网络联合协同频谱感知与资源调度
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713102
Guoru Ding, Qi-hui Wu, Jinlong Wang, Xiao Zhang
In this paper, a joint cooperative spectrum sensing (CSS) and resource scheduling scheme for cognitive radio networks (CRN) is investigated. The soft sensing information instead of 1 bit hard decision information is directly used for decision-making to further exploit spectrum opportunities. To find the global optimal solution of a non-convex multi-carrier resource scheduling problem, a distributive scheduling algorithm based on duality theory is proposed. Simulation results reveal the substantial performance gain of the proposed scheme over the previous designs.
研究了认知无线网络(CRN)的联合协同频谱感知和资源调度方案。直接利用软测量信息代替1位硬决策信息进行决策,进一步挖掘频谱机会。为了求解非凸多载波资源调度问题的全局最优解,提出了一种基于对偶理论的分布式调度算法。仿真结果表明,该方案的性能比以往的设计有很大的提高。
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引用次数: 10
Accelerate Smoothed Particle Hydrodynamics using GPU 加速平滑粒子流体力学使用GPU
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713129
Xiaopeng Gao, Zhiqiang Wang, Han Wan, Xiang Long
Physic-based fluid simulation is used extensively nowadays; however the traditional serial algorithm can't satisfy the real-time requirement due to its complexity and computeintensive. The development of modern GPU makes this possible. In this paper, a Smoothed Particle Hydrodynamics (SPH) method for incompressible fluid was implemented using CUDA on GPU. Since the algorithm was executed on the GPU entirely, the method can take full advantage of massive computational power of modern graphics hardware. The experiment results show that our GPU based SPH implementation can achieve the rate of 89 frames per second in the simulation of 102K particles and gain nearly 140× speedups compared with the serial algorithm.
目前,基于物理的流体模拟得到了广泛的应用;然而,传统的串行算法由于其复杂性和计算量大,无法满足实时性的要求。现代GPU的发展使这成为可能。本文在GPU上利用CUDA实现了不可压缩流体的光滑粒子流体力学(SPH)方法。由于该算法完全在GPU上执行,因此该方法可以充分利用现代图形硬件的巨大计算能力。实验结果表明,基于GPU的SPH实现在102K粒子的模拟中可以达到89帧/秒的速率,与串行算法相比,速度提高了近140倍。
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引用次数: 8
A fuzzy classifier based on Mamdani fuzzy logic system and genetic algorithm 基于Mamdani模糊逻辑系统和遗传算法的模糊分类器
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713079
Zhou Weihong, Xiong Shunqing, Ma Ting
Most of the fuzzy classifiers are created by fuzzy rules based on apriori knowledge and expert's knowledge, but in many applications, it's difficult to obtain fuzzy rules without apriori knowledge of the data. To solve this problem, a new way of creating Mamdani fuzzy classifier based on Mamdani fuzzy logical system is proposesed in this paper, and the new fuzzy classifier is improved with the genetic algorithm further. The result of data simulation with Iris data shows the new Mamdani fuzzy classifier has minimum number of features, minimum number of fuzzy rules and better precision.
大多数模糊分类器是基于先验知识和专家知识的模糊规则创建的,但在许多应用中,如果没有对数据的先验知识,很难获得模糊规则。针对这一问题,本文提出了一种基于Mamdani模糊逻辑系统的Mamdani模糊分类器的生成方法,并利用遗传算法对该模糊分类器进行了进一步改进。Iris数据仿真结果表明,新的Mamdani模糊分类器具有特征数最少、模糊规则数最少和精度较高的特点。
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引用次数: 11
Moses-based Chinese-Uyghur statistical machine translation systems 基于摩西语的汉维统计机器翻译系统
Pub Date : 2010-11-01 DOI: 10.1109/YCICT.2010.5713076
Xinghua Dong, Yating Yang, Xiaoping Zhou, Junlin Zhou
This paper is an initial explore to Chinese-Uyghur statistical machine translation. We experimented on three systems, which are based on moses framework, on Uyghur word-level corpus and morpheme-level corpus, then combine their 1-best translation hypothesis by constructing consensus network using TER alignment. The experiments show the combination of hypothesis that are from different systems can obtain a better result.
本文是汉维统计机器翻译的初步探索。在维吾尔语词级语料库和语素级语料库上分别对基于moses框架的3个翻译系统进行了实验,并通过构建基于TER对齐的共识网络,将它们的1-优翻译假设结合起来。实验表明,将不同系统的假设组合在一起可以得到更好的结果。
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引用次数: 1
期刊
2010 IEEE Youth Conference on Information, Computing and Telecommunications
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