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2014 Seventh International Symposium on Computational Intelligence and Design最新文献

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Analysis on Operational Capability Evaluation of Ship Formations: Anti-submaring Firing System 舰艇编队作战能力评估分析:反潜射击系统
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.272
Ke Deng, F. Long, Xu-Wen Sun, Jia Xu
Anti-submarine is either the main role for ship formations or an associate for other war missions. In this paper, a model is proposed for evaluating the firing ability of ship formations to fire against submarines, which is based on a four-dimension characterization and a two-layer gray fuzzy evaluation method. This evaluation should be a vital reference for improving the ship formations' anti-submarine ability.
反潜要么是舰艇编队的主要角色,要么是其他战争任务的助手。本文提出了一种基于四维表征和两层灰色模糊评价方法的舰艇编队对潜艇射击能力评价模型。该评价对提高舰艇编队的反潜能力具有重要的参考价值。
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引用次数: 0
A Map Matching Algorithm for Inertial Navigation Systems Based on the Adaptive Projection Method 基于自适应投影法的惯性导航系统地图匹配算法
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.186
Hao Luo, Z. Deng, M. Fu, Bo Wang
In this paper, it studies the various elements of map-matching algorithm, in order to achieve better real-time and accuracy for vehicle navigation systems. This paper uses two-stage staggered mesh, combined with the second round screening domain. Using of vehicle location, direction, road geometric and topological relations with the angular rate of change, this paper proposes a new map matching algorithm, angle and distance segment dominated approach. The results show that the map-matching algorithm in this paper can achieve vehicle navigation and positioning functions accurately and quickly.
本文研究了地图匹配算法的各个要素,以达到车辆导航系统更好的实时性和准确性。本文采用两级交错网格,结合第二轮筛选域。利用车辆位置、方向、道路几何拓扑与角度变化率的关系,提出了一种新的地图匹配算法,即角度和距离分段为主的方法。结果表明,本文提出的地图匹配算法能够准确、快速地实现车辆导航定位功能。
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引用次数: 0
The Transcribing and Encoding Scheme of Multimodal Dynamic Genres 多模态动态体裁的转录与编码方案
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.143
Dongyan Li, Qingfeng Guo
Dynamic genres where pictures move, sound plays and language comes in changing combinations of speech, song and writing are ubiquitous throughout our lives. Yet the problem as to how we can go about analyzing them in blend with image, movement, sound, music and speech with a view to generating and multiplying the meaning in multimodal videos or communicative events crops up. The paper presents the establishment of a transcribing and encoding scheme based on the multimodal transcription of dynamic texts and multiple-tier annotation via multimodal discourse software Elan, which can simultaneously handle multi-modes that are co-deployed in audio or video genres. The last but not least one is hoping to benefit the implementation of the dynamic discourse analysis through the utilization of Elan by applying the closely related multimodal theories originating from social semiotics in terms of image, movement, speech, music and sound.
在我们的生活中,画面移动、声音表演和语言变化的动态类型无处不在。然而,我们如何将它们与图像、动作、声音、音乐和语音结合起来进行分析,从而在多模态视频或交流事件中产生和增加意义的问题就出现了。本文通过多模态语篇软件Elan建立了一种基于动态文本多模态转录和多层注释的转录编码方案,该方案可以同时处理音频或视频类型中共同部署的多模态。最后,希望通过运用源自社会符号学的图像、动作、言语、音乐和声音等密切相关的多模态理论,利用Elan对动态话语分析的实施有所裨益。
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引用次数: 0
Speaker Recognition Method Based on CPSO Clustering and KMP Algorithm 基于CPSO聚类和KMP算法的说话人识别方法
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.115
Dong An, M. Shao, Zhe Yuan, Huaitao Shi, Qingchen Pan
This paper proposes a chaotic particle swarm optimization and kernel matching pursuit algorithm a combination of speaker recognition methods. First through the CPSO clustering algorithm to transform the MFCC feature parameters of processing, streamlining of the MFCC feature parameters (SMFCC), then use the KMP algorithm on the reduction parameters after the SMFCC feature classification training and recognition. The results show that CPSO-KMP-based speaker recognition method compared to the GMM-UBM method, the relative increase in EER performance of 31%.
提出了一种结合说话人识别方法的混沌粒子群优化和核匹配追踪算法。首先通过CPSO聚类算法对MFCC特征参数进行变换处理,精简MFCC特征参数(SMFCC),然后利用KMP算法对约简参数进行SMFCC特征分类训练和识别。结果表明,基于cpso - kmp的说话人识别方法与GMM-UBM方法相比,EER性能相对提高31%。
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引用次数: 6
The Technical System Establishment and Application of Decision Support System Generator Based on Component Coordination 基于组件协调的决策支持系统生成器技术体系构建与应用
Zhengli Liang, Xiaofeng Jia
With the large-scale application of sensing terminals and mobile terminals, the importance of decision support system generator (DSSG) in real-time decision based on big data is highlighting. To solve problems of design pattern and empirical application of DSSG, it elaborates the establishment of technical system of DSSG on the basis of the architecture design based on component coordination, and furthermore sets research priority on interface technology of data communication between components. At last, two functional-equivalents group decision support systems are designed and realized via traditional software engineering method and the DSSG designed in the paper, and comprehensive analysis and comparison between the two systems are made to provide empirical reference on the application of DSSG.
随着传感终端和移动终端的大规模应用,决策支持系统生成器(DSSG)在基于大数据的实时决策中的重要性日益凸显。为解决DSSG的设计模式和实证应用问题,在基于组件协同的体系结构设计基础上,阐述了DSSG技术体系的建立,并将组件间数据通信的接口技术作为研究重点。最后,通过传统的软件工程方法和本文设计的决策支持系统,设计并实现了两个功能等效的群体决策支持系统,并对两个系统进行了综合分析和比较,为决策支持系统的应用提供了经验参考。
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引用次数: 0
Palm Vein Recognition Based on Multi-algorithm and Score-Level Fusion 基于多算法和评分级融合的手掌静脉识别
Xuekui Yan, F. Deng, Wenxiong Kang
In order to improve the recognition rate of palm vein recognition algorithm, a recognition algorithm based on SIFT and ORB features extraction and score-level fusion is presented in this paper. Score-level fusion is an information fusion technique, which has six common combination rules. Two dynamic weight combination rules are proposed as a supplement here. The main steps of the proposed algorithm are: First, extract Region of interest (ROI) from the registered palm vein image and the to-be-matched palm vein image and process them with sharpen enhancement, and then extract SIFT features and ORB features and obtain matching scores respectively, finally utilize score-level fusion to compute the final score for decision. The experiments on the CASIA Palm Vein Image Database show that the algorithm attains the best recognition rate by utilizing the min-rule, and the equal error rate (EER) is 0.36%.
为了提高掌纹识别算法的识别率,本文提出了一种基于SIFT和ORB特征提取及分数级融合的掌纹识别算法。分数级融合是一种信息融合技术,它有六个常见的组合规则。本文提出了两个动态权值组合规则作为补充。该算法的主要步骤是:首先从配准的手掌静脉图像和待匹配的手掌静脉图像中提取感兴趣区域(ROI)并进行锐化增强处理,然后分别提取SIFT特征和ORB特征并获得匹配分数,最后利用分数级融合计算最终分数进行决策。在CASIA手掌静脉图像数据库上的实验表明,该算法利用最小规则获得了最好的识别率,平均错误率(EER)为0.36%。
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引用次数: 11
Research on Graduation Thesis Evaluation Based on Hopfield Neural Network 基于Hopfield神经网络的毕业论文评价研究
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.208
Rong-jun Li, Xiangjun Wang, Dingyuan Y. Li
The evaluation of graduation thesis needs to consider from many aspects to make the final evaluation of each factor. The traditional evaluation method with weighted method has a loss of objectivity and lack of convincing. In view of the existing problems, it proposed that using Hopfield method to evaluate the graduation thesis. Through the existing evaluation results, the evaluation criteria were got. The evaluation criteria were stored in the network. When inputting the pre-evaluation thesis to the network, Hopfield neural network will run by itself. The pre-evaluation thesis will converge to the closest level. The experiments were carried out with 10 group's data. The experimental results show that this method can effectively evaluate the graduation thesis, and the evaluation results more rapid, rational and objective.
毕业论文的评价需要多方面考虑,才能对各个因素做出最终的评价。传统的加权评价方法缺乏客观性,缺乏说服力。针对存在的问题,提出采用Hopfield法对毕业论文进行评价。通过已有的评价结果,得出了评价标准。评价标准存储在网络中。当向网络输入预评价论文时,Hopfield神经网络将自动运行。预评价论文将收敛到最接近的水平。实验采用10组数据进行。实验结果表明,该方法能够有效地对毕业论文进行评价,且评价结果更加快速、合理、客观。
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引用次数: 0
A Distance Measurement Wireless Localization Correction Algorithm Based on RSSI 基于RSSI的距离测量无线定位校正算法
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.246
Ji Xiong, Qin Qin, Kemin Zeng
In order to improve the localization precision based on Received Signal Strength Indicator (RSSI) distance measurement for wireless sensor network nodes, a correction RSSI localization algorithm is proposed. In the algorithm, the optimal beacon nodes are firstly taken into consideration, and then using the median mean filtering method to process the measured RSSI data from the optimal beacon nodes. Finally, the weighted centroid algorithm is used to obtain the unknown node location. The simulation results indicate that compared with the traditional RSSI algorithm, the localization error of correction algorithm is reduced by more than 60%, effectively improving the localization precision.
为了提高无线传感器网络节点基于接收信号强度指标(RSSI)距离测量的定位精度,提出了一种校正RSSI定位算法。该算法首先考虑最优信标节点,然后采用中值均值滤波方法对最优信标节点的实测RSSI数据进行处理。最后,采用加权质心算法获取未知节点位置。仿真结果表明,与传统的RSSI算法相比,校正算法的定位误差减小了60%以上,有效地提高了定位精度。
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引用次数: 14
Design and Development of Web-Based Management System for Natural Gas Pipeline Networks 基于web的天然气管网管理系统的设计与开发
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.218
Jindong Lu, Yunchen Jiang, S. Chai
Owing to low emissions and low consumption costs, natural gas has major potential as a substitute or complementary automotive fuel. The natural gas pipeline network as the cheapest and easiest transportation system is a highly integrated transmission and distribution grid that can transport natural gas to and from nearly any location. Due to the dynamic characteristics of the pipeline networks, it is very difficult to develop a management system. In this paper, a web-based management system is proposed. The whole system consists of data acquisition embedded module, Onsite management system and Web GIS (Web Geographic Information System) Server system, which can observe and manage the safety transmission of natural gas.
由于低排放和低消耗成本,天然气作为替代或补充汽车燃料具有很大的潜力。天然气管道网络是一个高度集成的输配电网,可以将天然气输送到几乎任何地点,是最便宜、最简单的运输系统。由于管网的动态特性,开发管理系统是非常困难的。本文提出了一个基于web的管理系统。整个系统由数据采集嵌入式模块、现场管理系统和Web GIS (Web Geographic Information system)服务器系统组成,实现对天然气安全输送的观察和管理。
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引用次数: 0
A Universal Sparse Signal Reconstruction Algorithm via Backtracking and Belief Propagation 基于回溯和信念传播的通用稀疏信号重构算法
Pub Date : 2014-12-13 DOI: 10.1109/ISCID.2014.241
Fang Jiang, Yanjun Hu, Caiqing She
The belief propagation (BP) algorithm under the Bayesian framework can accelerate Compressed Sensing (CS) encoding and decoding by using the sparse encoder matrix. To improve the reconstruction performance we consider a backtracking-based belief propagation algorithm (CS-BBP) for the sparse signal reconstruction. The backtracking is added after performing BP and minimum mean square error (MMSE) estimate in every iteration. Simulation results show that the CS-BBP is a universal reconstruction algorithm which has a good performance for both 1-D Gaussian and 2-D image signal reconstructions.
贝叶斯框架下的信念传播(BP)算法可以利用稀疏编码器矩阵加速压缩感知(CS)编解码。为了提高稀疏信号的重构性能,我们提出了一种基于回溯的信念传播算法(CS-BBP)。在每次迭代中进行BP和最小均方误差(MMSE)估计后加入回溯。仿真结果表明,CS-BBP是一种通用重构算法,对一维高斯图像信号和二维图像信号的重构都有良好的性能。
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引用次数: 1
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2014 Seventh International Symposium on Computational Intelligence and Design
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