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2010 2nd International Workshop on Intelligent Systems and Applications最新文献

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Research on Key Technologies of Establishing the Port Hoisting Equipment Object Library in Flexsim Flexsim中港口起重设备实物库建立的关键技术研究
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473517
Mingwang Dong, Jianfu Yu
In this paper, the key technologies of developing port hoisting equipment object library are analyzed in Flexsim. Taking quayside container crane as an example, the transformation of spatial coordinates system and the calculation of the displacement distance are researched in the course of establishing the model, and key procedures about achieving the movement of simulation model are designed, kinematic function in Flexsim is used. The research findings have some referential value to research the port logistics simulation.
本文分析了在Flexsim中开发港口起重设备实物库的关键技术。以码头集装箱起重机为例,研究了在建立模型过程中空间坐标系的变换和位移距离的计算,设计了实现仿真模型运动的关键程序,并利用Flexsim中的运动学函数。研究结果对研究港口物流仿真具有一定的参考价值。
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引用次数: 0
Feed Formula Optimization Method Based on Multi-Objective Particle Swarm Optimization Algorithm 基于多目标粒子群算法的饲料配方优化方法
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473663
Ji-xin Zhang, Gao-ping Wang
In this paper, we set a multi-objective mathematical model for feed formula optimal problem, propose a new MOPSO-based feed formula optimal method. A global selection method of particle and a dominance-principle are presented. Simulation results show that the new algorithm can give us more satisfactory results and a set of solution. A new method for solving complicated problem about feed formula optimization is provided.
本文建立了饲料配方优化问题的多目标数学模型,提出了一种新的基于mopso的饲料配方优化方法。提出了粒子的全局选择方法和优势原则。仿真结果表明,新算法能给出较为满意的结果和一组解。为解决复杂的饲料配方优化问题提供了一种新的方法。
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引用次数: 3
A New Method of Extracting Chinese Term Based on Open Corpus 基于开放语料库的汉语术语提取新方法
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473325
Jianzhou Liu, Xiongkai Shao
Automatic Chinese Term Extraction is an important issue in Natural Language Processing. This paper has proposed a new method to extract terms from open corpus. We have used two improved traditional parameters: mutual information and log-likelihood ratio, and have increased the precision of the method to 75.4%. The results of the research indicate that this method is more efficient and robust than previous term-extraction methods.
中文术语自动抽取是自然语言处理中的一个重要问题。提出了一种从开放语料库中提取术语的新方法。我们使用了两个改进的传统参数:互信息和对数似然比,并将方法的精度提高到75.4%。研究结果表明,该方法比以往的术语提取方法具有更高的效率和鲁棒性。
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引用次数: 3
A Novel Differential Evolution Incorporated with Parallel Processing Mechanism 一种结合并行处理机制的差分进化方法
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473449
Dong-Hyun Lim, Hoang N. Luong, C. Ahn
In this paper, we introduce the parallel mechanism to the Differential Evolution (DE). Differential Evolution algorithm suffers from the problem that individuals gather in a single point and cannot escape the basin of a local optimum. We propose the parallel processing as a solution to this problem. Parallel processing helps DE maintain more than one best individual (attractor). Different attractors help DE expand its search towards various directions. We name our approach a differential evolution algorithm processed in the parallel fashion (P-DE). P-DE, when compared with the original DE in various test problems, exhibits its superior performance.
在本文中,我们将并行机制引入差分演化(DE)。差分进化算法存在个体聚集在一个点上,无法逃离局部最优的盆地的问题。我们提出并行处理来解决这个问题。并行处理帮助DE保持多个最佳个体(吸引子)。不同的吸引子帮助DE向不同的方向扩展其搜索。我们将我们的方法命名为以并行方式处理的差分进化算法(P-DE)。在各种测试问题中,将P-DE与原始DE进行比较,显示出其优越的性能。
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引用次数: 2
A New Kind of Cache Coherence Protocol with SC-Cache for Multiprocessor 一种基于SC-Cache的多处理器缓存一致性协议
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473538
Jingmei Li, Wen-Jia Liu, Ping Jiao
Aiming at the Cache coherence problem that brings by multiple processor cores of CMP(Chip multiprocessors) sharing the single memory space, this paper introduces a new kind of Cache coherence--CSC(Coherence with SC-Cache) based on write-through and write-back mechanism, which contains SC-Cache (Shared Coherence Cache) module. Experiments show that the protocol reduces the number of bus transactions, to a certain extent improves the efficiency of processor data access.
针对芯片多处理器(CMP)的多个处理器内核共享单个存储空间所带来的Cache一致性问题,本文介绍了一种基于透写回写机制的新型Cache一致性——CSC(coherence with SC-Cache),其中包含SC-Cache (Shared coherence Cache)模块。实验表明,该协议减少了总线事务的数量,在一定程度上提高了处理器数据访问的效率。
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引用次数: 1
A Balanced Rank Algorithm Based on PageRank and Page Belief Recommendation 基于PageRank和页面信念推荐的平衡排序算法
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473657
Yongbin Qin, Daoyun Xu
Web search engines have become one of the absolutely necessary tools for us in the use of the Internet. They are receiving keen appreciation from the broad masses of network users because of the ability of quick search and the navigation service. However, the current used search engines do not take the actual situation and actual need of users into account, users may meet the topic drift problems in the searching process. Based on the PageRank algorithm, taking the human factor into consideration, we introduce page belief recommendation mechanism and bring forward a balanced rank algorithm based on PageRank and page belief recommendation. This algorithm attaches importance into the subjective needs of the users, it can effectively avoid topic drift problems.
网络搜索引擎已经成为我们使用互联网时绝对必要的工具之一。由于其快速搜索和导航服务的能力,受到广大网络用户的热烈赞赏。然而,目前使用的搜索引擎并没有考虑到用户的实际情况和实际需求,用户在搜索过程中可能会遇到话题漂移问题。在PageRank算法的基础上,考虑人为因素,引入页面信念推荐机制,提出了一种基于PageRank和页面信念推荐的平衡排名算法。该算法重视用户的主观需求,可以有效地避免话题漂移问题。
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引用次数: 18
Performance on Suboptimal Antenna Selection for Cooperative Cell System 合作小区系统次优天线选择性能研究
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473334
Yonghui Chen, Lin Chen
Cell antenna cooperative strategy might have more realizable, more fairness and more potential capacity than multi-user cooperative diversity. However, different from multi-user diversity, the fading of each Cell-antenna is obviously independent and non-identically distribution for any mobile user, it is hard to get an optimal scheduling strategy directly by a gen-eral closed expression. In this paper, we investigate the performance of multi-antenna selective cooperative strategy based on the cooperative Cell, the equal power transfer and the equal gain receive combining methods that are suboptimal but practical. The theoretic and Monte Carlo simulation analysis show that for the mobile node with only one antenna, the traditional handover strategy is the best one, but for the node with multi-antenna the suboptimal multi-antenna selection could improve the outage capacity obviously than the traditional cell by cell handover strategy.
蜂窝天线合作策略比多用户合作分集具有更高的可实现性、公平性和更大的潜在容量。然而,与多用户分集不同的是,对于任何移动用户,每个cell -天线的衰落都是明显独立且非同分布的,很难用一般的封闭表达式直接得到最优调度策略。本文研究了基于合作单元、等功率传输和等增益接收组合方法的多天线选择性合作策略的性能。理论分析和蒙特卡罗仿真分析表明,对于只有一个天线的移动节点,传统切换策略是最佳选择,而对于多天线节点,次优多天线选择比传统的小区切换策略能明显提高中断容量。
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引用次数: 0
Social View Based User Modeling for Recommendation in Tagging Systems by Association Rules 基于社会视图的关联规则标签系统推荐用户建模
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473246
Keqin He, Liang He, Xin Lin, Wei Lu
Social tagging systems such as Facebook, YouTube, del.icio.us, Flickr become popular recent years and have achieved widespread success. State-of-art user modeling approaches in tagging systems usually use a vector of weighted tags. Unfortunately, typical user modeling methods using a vector of weighted tags which are based on personal view only and ignore the social view, have some inherent drawbacks. As in a social network like collaborative tagging system, it is subjective and incomplete to profile using only personal view. In this paper, a novel approach applying association rules is proposed to extend user profiles from the social view. The enriched user profile is a harvest from both personal view and social view. Algorithms of personalized recommendations for tags and items are presented. Also experimental results of using the profile we proposed are discussed.
社交标签系统,如Facebook, YouTube, del.icio。在美国,Flickr近年来开始流行,并取得了广泛的成功。标签系统中最先进的用户建模方法通常使用加权标签向量。遗憾的是,传统的基于加权标签向量的用户建模方法仅基于个人观点而忽略了社会观点,存在一些固有的缺陷。在像协作标签系统这样的社交网络中,仅仅用个人的观点来描述是主观的和不完整的。本文从社会视角出发,提出了一种应用关联规则扩展用户档案的新方法。丰富的用户资料是个人观点和社会观点的收获。提出了标签和项目的个性化推荐算法。文中还讨论了所提轮廓的实验结果。
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引用次数: 4
A Novel Quotient Space Computing Model Based on Extension Theory 基于可拓理论的商空间计算模型
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473368
Zhi-hang Tang, Hui-ying Peng
one of the basic characteristics in human problem solving is the ability to conceptualize the world at different granularities and translate from one abstraction level to the others easily, i.e., the ability of multi-granular computing. The proposed quotient space theory is intended to provide a multi-granular computing model. The traditional single-granular computing methodology usually confronts with high computational complexity when dealing with complex problems. The main aim of multi-granular computing is intended to reduce the computational complexity. By using the quotient space model, we show in what conditions the multi-granular computing could reduce the computational complexity. Based on the quotient space model, the characteristics of the top-down hierarchical problem solving are discussed. The process actually implies the idea of extenics. Extension method is mainly used to solve contradictory problems by transformations of matter-elements. So we integrate extension method with theory of quotient space to solve some complicated problems in artificial intelligence system, and set up an extension-based quotient space computing model. The result shows this method is quite valuable.
人类解决问题的一个基本特征是能够在不同的粒度上对世界进行概念化,并容易地从一个抽象级别转换到另一个抽象级别,即多粒度计算的能力。提出的商空间理论旨在提供一个多粒度计算模型。传统的单颗粒计算方法在处理复杂问题时往往面临较高的计算复杂度。多粒度计算的主要目标是降低计算复杂度。利用商空间模型,我们展示了在什么条件下多粒度计算可以降低计算复杂度。基于商空间模型,讨论了自顶向下分层问题求解的特点。这个过程实际上暗示了可拓学的概念。可拓法主要用于通过物元转换来解决矛盾问题。为此,我们将可拓方法与商空间理论结合起来解决人工智能系统中的一些复杂问题,建立了一个基于可拓的商空间计算模型。结果表明,该方法具有一定的应用价值。
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引用次数: 0
Immune Agent-Based Neural Networks Assembly for Soft-Sensor 基于免疫agent的软测量神经网络装配
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473737
Xuhua Shi, F. Qian
Aiming at difficulty modeling of large amounts of industrial process data, a novel soft sensor model based on artificial immune agent-based multiple model Radial Basis Function (RBF) networks is proposed in this paper. The method is to predict the qualities of manufactured products of Crude Oil Tower. In the IMMST-Team system, some biological immune based operation and learning rules which can efficiently cluster the large amounts of data samples and adapt RBF submodels structure and parameter are established. Individuals in the immune system work cooperatively to accomplish the goal of model training. Meenwhile, immune memory and pattern recognition provide high efficiency of predicting. The prediction of dry point of naphtha produced in a practical industrial process is carried out as a case study. The results obtained indicate that the proposed method provides quality prediction with high efficiency and accuracy, which is capable of learning the relationships between process variables measured during the production cycle.
针对大量工业过程数据建模困难的问题,提出了一种基于人工免疫主体的多模型径向基函数(RBF)网络的软测量模型。该方法是对原油塔成品质量进行预测。在imst - team系统中,建立了一些基于生物免疫的操作和学习规则,可以有效地对大量数据样本进行聚类,并适应RBF子模型的结构和参数。免疫系统中的个体协同工作以完成模型训练的目标。同时,免疫记忆和模式识别提供了较高的预测效率。以实际工业生产过程中石脑油的干点预测为例进行了研究。结果表明,该方法具有较高的质量预测效率和准确性,能够学习生产周期中测量的过程变量之间的关系。
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2010 2nd International Workshop on Intelligent Systems and Applications
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