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2008 International Seminar on Future Information Technology and Management Engineering最新文献

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Study on Measures of Dependence Conditional Risk Based-on Copulas in Financial Portfolio 基于copula的金融组合依赖条件风险测度研究
Yi Wen-de, Huang Ai-hua
Copulas have become a powerful tool for modeling the dependence structure of financial data and preferable to the traditional, correlation-based approach. This paper concerns the application of copula functions in VaR and conditional VaR valuation. Some measures of dependence risks are proposed in studying financial portfoliopsilas risk. We investigate the relations between the dependence risk measure and copula function, and find that the choice of copula will effect on the degree of dependence risk in portfolio.
copula已经成为建模财务数据依赖结构的强大工具,比传统的基于关联的方法更可取。本文讨论了联结函数在VaR和条件VaR估值中的应用。在金融投资组合风险研究中,提出了一些依赖风险的度量方法。研究了依赖风险测度与copula函数之间的关系,发现copula函数的选择会影响投资组合的依赖风险程度。
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引用次数: 0
An Approach for Integrating Trust Information Model 一种集成信任信息模型的方法
Xu Wu, Jingsha He, Fei Xu
Currently, there exist different trust models in peer-to-peer application. Each model has an abundance of trust information about trust and reputation attributes which are needed for establishing trust between peers. These trust models canpsilat be easily interoperable due to no approach for integrating in a semantic way the trust information from different models. Integrating trust information in a semantic way is a significant step towards the realization of trust models interoperability in an open system such as Web where resource providers and users are often strangers to one another and universal and correct expressiveness of trust information will be crucial. Therefore, this paper proposes an ontology-based approach for integrating trust information models. Additionally, it is also useful for simplifying security policies specification and protecting sensitive information.
目前,在点对点应用中存在着不同的信任模型。每个模型都具有丰富的信任和声誉属性的信任信息,这些信息是在对等体之间建立信任所必需的。由于没有以语义方式集成来自不同模型的信任信息的方法,这些信任模型不能很容易地互操作。在Web等开放系统中,以语义方式集成信任信息是实现信任模型互操作性的重要一步,资源提供者和用户往往互不认识,信任信息的通用和正确表达至关重要。因此,本文提出了一种基于本体的信任信息模型集成方法。此外,它还有助于简化安全策略规范和保护敏感信息。
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引用次数: 1
Statistical Analysis of Software Coupling Measurement Based on Complex Networks 基于复杂网络的软件耦合测量统计分析
Guoai Xu, Yang Gao, Fan-fan Liu, Aiguo Chen, Miao Zhang
As the scale and complexity of software systems increasing, researches have begun to place much more emphasis on the area of software measurement, especially coupling measurement in object-oriented systems. In order to understand the coupling measure, we make use of complex network theory to characterize and describe its macroscopic properties. A novel software coupling network was proposed firstly, then the well-defined weight was further added to the software coupling network and got the software coupling weight network which was used to calculate coupling measure. Some of the coupling measure methods such as coupling between objects (CBO) and message passing coupling (MPC) were calculated based on the general statistical features of software coupling weight network. The examinations show that both of CBO and MPC have the scale-free property. Finally the relationship between them was interpreted.
随着软件系统规模和复杂性的不断增加,软件度量,特别是面向对象系统中的耦合度量的研究开始受到越来越多的重视。为了理解耦合测度,我们利用复杂网络理论来表征和描述其宏观性质。首先提出了一种新的软件耦合网络,然后将定义好的权值加入到软件耦合网络中,得到软件耦合权值网络,用于计算耦合测度。根据软件耦合权重网络的一般统计特征,计算了对象间耦合(CBO)和消息传递耦合(MPC)等耦合度量方法。实验表明,CBO和MPC均具有无标度特性。最后对二者之间的关系进行了解释。
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引用次数: 2
The Research on the Organization Mode of Urban Rapid Logistics Transport System's Cooperative Development 城市快速物流运输系统协同发展的组织模式研究
Aiyuan Duan, Jungang Yang, Min Deng
As the quick increase of urban economy, which is brought about by the development of market economy, China's urban logistics are facing new and higher - requirement challenges. At present, the people pay more and more attention on logistics transport, and the cooperative development which is a new, more reasonable concept of development has been universally recognized around the world. This article studies the organization mode of urban rapid logistics transport systempsilas cooperative development. First, the theoretical connotation of urban rapid logistics transport systempsilas cooperative development was depicted. Second, the article analyses this organization model, which include introducing all parts of urban rapid logistics system, analyzing the existing problems in its development, and how to solve these problems to construct a rapid logistics system of cooperative development. Last, the article studies the realizing route of this organizations mode.
随着市场经济的发展带来的城市经济的快速增长,中国城市物流面临着新的更高要求的挑战。目前,人们对物流运输的重视程度越来越高,合作发展作为一种新的、更加合理的发展理念已得到世界各国的普遍认可。本文研究了城市快速物流运输系统协同发展的组织模式。首先,阐述了城市快速物流运输系统协同发展的理论内涵。其次,本文对该组织模式进行了分析,介绍了城市快速物流系统的各个组成部分,分析了其发展中存在的问题,以及如何解决这些问题,构建协同发展的快速物流系统。最后,研究了该组织模式的实现路径。
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引用次数: 0
Study on Auditory Localization System Based on Microphone Array 基于麦克风阵列的听觉定位系统研究
H. He, Fengjiu Wang, Dongyan Bai
The auditory localization technology based on microphone array has wildly used in the field of communication as well as voice processing. Embarking from the basic principle of sound transmission, we deduce the precise near field model of sound transmission. Combining such model with the idea of subspace algorithm, we also put forward a two-dimensional auditory localization algorithm which is suitable in the near field wide band voice signal, by which built the development platform based on the DSP auditory localization hardware system. The result turns out this algorithm has an efficient localization.
基于麦克风阵列的听觉定位技术在通信和语音处理领域得到了广泛的应用。从声音传播的基本原理出发,推导出声音传播的精确近场模型。将该模型与子空间算法思想相结合,提出了一种适用于近场宽带语音信号的二维听觉定位算法,并以此构建了基于DSP的听觉定位硬件系统的开发平台。结果表明,该算法具有较好的定位效果。
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引用次数: 0
Face Recognition Based on Radial Basis Function Neural Networks 基于径向基函数神经网络的人脸识别
Weihua Wang
The face recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its widely potential applications. A face recognition approach is put forward based on the RBF neural network. Also discussed are the problem of feature of a face image vector, the problem of normalization of the image-size, and the problem of training algorithm of hidden layerpsilas neural nodes. Experiments have been conducted on ORL face database. The results show that compared with BP neural network, the RBF neural network can decrease the error rate, the training time, and the recognition time efficiently.
人脸识别是计算机模式识别领域的一个活跃课题,由于其具有广泛的应用前景,近几十年来一直是人们关注的焦点。提出了一种基于RBF神经网络的人脸识别方法。讨论了人脸图像向量的特征问题、图像大小的归一化问题和隐层神经节点的训练算法问题。在ORL人脸数据库上进行了实验。结果表明,与BP神经网络相比,RBF神经网络可以有效地降低错误率、训练时间和识别时间。
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引用次数: 13
Motion Multi-Vehicle Recognition and Tracking in Stable Scene 稳定场景下运动多车识别与跟踪
T. Gao, Zhengguang Liu, Jun Zhang
A method for moving multi-target recognition and tracking in stable scene is presented. Optical flow is used to extract the velocity of pixels, and targets are recognized by combining motion character points obtained by binary discrete wavelet transforms (BDWT). A discrete kalman filter is used to track targets in the follow-up frames; the center and scale of tracking window are updated by a Mexico wavelet kernel function mean shift method which is embedded into the discrete kalman filter framework to stabilize the trajectories of the targets for robust tracking during mutual occlusion. The method is tested on several frame sequences and shown to achieve robust and reliable frame-rate recognition and tracking.
提出了一种稳定场景下运动多目标的识别与跟踪方法。利用光流提取像素速度,结合二值离散小波变换(BDWT)得到的运动特征点进行目标识别。采用离散卡尔曼滤波对后续帧中的目标进行跟踪;采用墨西哥小波核函数均值漂移方法更新跟踪窗口的中心和尺度,该方法嵌入到离散卡尔曼滤波框架中,稳定目标轨迹,实现互遮挡时的鲁棒跟踪。在多个帧序列上进行了测试,结果表明该方法能够实现鲁棒可靠的帧率识别和跟踪。
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引用次数: 0
An Improved Genetic Algorithm Based on hK1 Triangulation 基于hK1三角剖分的改进遗传算法
Jingjun Zhang, Yanmin Shang, Ruizhen Gao, Yuzhen Dong
An improved genetic algorithm based on the hK1 triangulation is proposed for optimization of dual multimodal function. With this algorithm, the optimal problems converse to solution of fixed point problems. The minimum points can be distinguished by using the Hessian Matrix. The test results of many typical functions indicated that the algorithm is valid and highly effective.
提出了一种基于hK1三角剖分的改进遗传算法,用于双多模态函数的优化。该算法将最优问题转化为不动点问题的求解。最小点可以用Hessian矩阵来区分。多个典型函数的测试结果表明,该算法是有效的、高效的。
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引用次数: 0
Fuzzy Decision-Making Model for Risk Investment Projects 风险投资项目的模糊决策模型
Z. Sheng
In the process of risk investment decision-making, real option which is one of the key issues in the research of finance engineering is very important to enforce flexibility of management decision. As for appraising methodology, the real option approach is used. However, The investment circumstance is always vague. That is to say, the information we need is incomplete. The uncertainty influences the real option valuation by all appearances. In this paper we take into account the uncertainty of the up and down jump factors of underling assets, which are estimated by triangular fuzzy numbers. While pricing for the real option, we use the binomial model and the risk-neutral valuation approach, and then derive the risk-neutral probability intervals. As a result, we obtain a decision-making model for risk investment projects under vague circumstance. It is beneficial for the evaluation of risk-investment and useful for avoiding the mistaken investment decision-making.Finality, we provide a corresponding example analysis.
在风险投资决策过程中,实物期权作为金融工程研究的核心问题之一,对增强管理决策的灵活性具有十分重要的作用。在评价方法上,采用实物期权法。然而,投资环境总是模糊的。也就是说,我们需要的信息是不完整的。不确定性对实物期权估值的影响是多方面的。本文考虑了资产上下跳跃因子的不确定性,用三角模糊数对其进行估计。在对实物期权进行定价时,采用二项模型和风险中性估值方法,推导出风险中性的概率区间。得到了模糊环境下风险投资项目的决策模型。这有利于风险投资的评估,有助于避免错误的投资决策。最后,给出了相应的实例分析。
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引用次数: 1
Modeling Tree Diameter Growth Using Nonlinear Mixed-Effects Models 用非线性混合效应模型建模树径生长
Lichun Jiang, Fengri Li
A diameter-age model was developed for dahurian larch (Larix gmelinii. Rupr.) in northeastern China based on Chapman-Richards growth model using nonlinear mixed-effects modeling approach. The methods of model development include which parameters should be considered to be random and which should be purely fixed, as well as procedures for determining autoregressive correlation structures. Model performance was evaluated utilizing information criterion statistics (AIC, BIC, and LRT). The Chapman-Richards model with two random parameters showed the best performance. The inclusion of autoregressive models (AR(p), MA(q), ARMA(p,q)) in the mixed-effects model resulted in a significant improvement of model fitting statistics.
建立了大落叶松的直径-年龄模型。基于Chapman-Richards生长模型,采用非线性混合效应建模方法对东北地区进行了研究。模型开发的方法包括哪些参数应被认为是随机的,哪些参数应被认为是纯固定的,以及确定自回归相关结构的程序。利用信息标准统计(AIC、BIC和LRT)评估模型的性能。具有两个随机参数的Chapman-Richards模型表现出最好的性能。在混合效应模型中加入自回归模型(AR(p)、MA(q)、ARMA(p,q)),模型拟合统计量显著提高。
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引用次数: 4
期刊
2008 International Seminar on Future Information Technology and Management Engineering
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