一种面向多Agent协作和协商的消息机制

提出了一种基于概念模式匹配的消息传递机制,它使用了概念实例与概念模式相匹配的思想,实现了在具有多个Agent的系统中消息去向的灵活处理,从而很好地解决了多Agent之间的协作和协商问题。在引入多Agent协作与协商的概念后,讨论了这种机制的实现方法,并阐述了与这种机制实现相关的一些概念。     

一种多agent系统框架与协商机制研究*

从基于动态、异构网络上快速构建稳健的多agent系统出发,设计了多agent远程过程调用通信模型,定义了三种基本类型的agent,对KQML消息规范进行扩展,增加了对消息生存周期的控制,设计了双缓存消息推送器以实现agent消息的主动推送,并在WCF的基础上实现了该通信框架。针对同目标多agent协作系统提出了基于开销均衡的agent系统交互协商策略,通过实例证明相对于独立运行和基于正交互协商策略的agent系统,本协商策略可有效降低系统总开销,并可使运行负载更为均衡。     

Development and evaluation of the many-to-many supplier negotiation strategy

Supply chain is a complex logistics network, consists of suppliers, manufacturers, warehouses, distribution centers, retailers and customers. In general, the number of firms in each supply chain tier is more than one. Thus, the supply–demand relationship of two adjacent tiers in supply chain is the many-to-many type. Most of supplier selection processes are based on bidding and negotiation mechanism. Due to the diversity of intellectual backgrounds of the negotiating parties, competitive nature, many variables involved in supply–demand relationship, complex interactions and inadequate negotiation knowledge of project participants, the supplier negotiation process is sophisticated. This paper intends to develop the many-to-many supplier negotiation process, design the interactive and competitive bidding strategies of both-side parties, and conduct experimental simulations to investigate how the negotiation efficiency influenced by the varying bidding strategies of a considered demander. The purpose of this paper is to explore the relationships between a demander’s bidding strategies and negotiation efficiency under different order and competitive conditions. The explorative results will be the decision support for assisting a demander to determine the proper bidding strategy in many-to-many supplier negotiation process.     

多智能体运输调度系统协商机制的研究

针对大型企业运输调度问题,采用多智能体技术,提出了一个多智能体运输调度系统模型,将汽车资源构造为具有自主能力的汽车智能体,从而提高了系统问题求解的能力,并对系统中多智能体之间的协商机制进行了探讨。     

信任协商在信息交换系统中的研究

随着电子政务的发展,跨域通信的需求越来越迫切,这种情况下为了保证安全需要陌生主体间能够建立信任连接,这在原有信息交换系统中是无法实现的.为此引入信任协商技术,它是一种在不同领域主体间建立信任连接的新技术,它通过信任证、访问控制策略的交互披露来自动建立信任关系.介绍了原有信息交换系统的缺陷、信任协商技术的基本概念,并对信任协商技术与信息交换系统的结合进行了研究,提出了一种可行的系统实现及其策略算法,从而满足在安全性和扩展性方面的要求.     

Analysis of E-learning innovation and core capability using a hypercube model

New information and communication technologies and emerging learning models have triggered a new wave of educational innovation-electronic learning (E-learning). This study utilizes a hypercube innovation model to analyze the differences in technology and learning models (instruction model/environment) used in traditional classroom learning versus E-learning environments. The results show that the innovation from traditional classroom learning to E-learning is radical for both the learner and instructor, leading to drastic changes in the technology and learning model. For educational institutions, the technology is a fundamental change, while the learning model is reinforced. From the dynamic capability perspectives, a set of core capabilities needed for successfully exploiting E-learning is identified. These results provide insight for learners, instructors and educational institutions for enhancing their understanding of E-learning innovation, and provide guidelines to help E-learning stakeholders adapt from the traditional classroom to E-learning environments.     

基于人工心理偏好表示的多方—多属性谈判支持系统

为了解决多方—多属性谈判支持系统中谈判人偏好表示的难点问题,设计了一种基于人工心理偏好表示的多方—多属性谈判支持系统。首先建立了基于云模型的人工心理描述模型,模型充分表达了人工心理的模糊性和随机性。并分析了基于云模型人工心理偏好表示的多方—多属性谈判过程,同时给出通过中介方式基于云模型人工心理偏好表示的谈判建议解求解方法。最后以系统雏形与谈判实验为案例,结果表明该方法能较好地表达谈判支持系统中谈判人的偏好。     

P2P环境下电子商务信任评估机制研究

为了解决P2P环境下电子商务安全问题,在深入研究P2P环境下电子商务信任模型的基础上,针对传统信任模型不足的问题,提出了一种利用哈希函数将加入群的节点随机地分配到各个群的方法,降低了节点共谋攻击的危险。考虑到当一个节点偶尔提供一次恶意服务时,并不能证明是恶意节点,只需要给节点警告。引入了交易时间和交易规模、交易次数等因素来进行信任值的计算,利用惩罚项来限制交易节点提供恶意服务。节点的信任值很大程度上依靠同群节点和有外连接的群的节点来进行评估,仿真实验结果表明,该方法可以更加准确地评估节点的信任值,保证了网络的性能。     

Image categorization using a semantic hierarchy model with sparse set of salient regions

Image categorization in massive image database is an important problem. This paper proposes an approach for image categorization, using sparse set of salient semantic information and hierarchy semantic label tree （HSLT） model. First, to provide more critical image semantics, the proposed sparse set of salient regions only at the focuses of visual attention instead of the entire scene was formed by our proposed saliency detection model with incorporating low and high level feature and Shotton＇s semantic texton forests （STFs） method. Second, we also propose a new HSLT model in terms of the sparse regional semantic information to automatically build a semantic image hierarchy, which explicitly encodes a general to specific image relationship. And last, we archived image dataset using image hierarchical semantic, which is help to improve the performance of image organizing and browsing. Extension experimefital results showed that the use of semantic hierarchies as a hierarchical organizing frame- work provides a better image annotation and organization, improves the accuracy and reduces human＇s effort.     

Selection of a cleaning system for engine maintenance based on the analytic hierarchy process

Environmental impact assessment is an intrinsically complex multi-dimensional process which involves multiple criteria and multiple actors. Multi-criteria methods can serve as useful decision aids for carrying out environmental impact assessment. This paper proposes the use of a multi-criteria technique, namely the analytic hierarchy process, as a potential decision-making method for use in management maintenance processes. In this case, our problem concerns the selection of a parts cleaning system for diesel engine maintenance. A hierarchical structure is built for the prequalification of the criteria and the alternatives within the system. By applying the analytic hierarchical process, the criteria can be prioritized and the alternatives can be organized in descending order so that the best parts cleaning system may be selected.     

Image categorization using a semantic hierarchy model with sparse set of salient regions

Image categorization in massive image database is an important problem. This paper proposes an approach for image categorization, using sparse set of salient semantic information and hierarchy semantic label tree (HSLT) model. First, to provide more critical image semantics, the proposed sparse set of salient regions only at the focuses of visual attention instead of the entire scene was formed by our proposed saliency detection model with incorporating low and high level feature and Shotton’s semantic texton forests (STFs) method. Second, we also propose a new HSLT model in terms of the sparse regional semantic information to automatically build a semantic image hierarchy, which explicitly encodes a general to specific image relationship. And last, we archived image dataset using image hierarchical semantic, which is help to improve the performance of image organizing and browsing. Extension experimental results showed that the use of semantic hierarchies as a hierarchical organizing framework provides a better image annotation and organization, improves the accuracy and reduces human’s effort.     

基于心跳机制的农业物联网数据采集系统设计

针对农业物联网因地域范围广、环境因素相对变化大,系统易出现网络通信故障问题,采用Push模式结合心跳加速协议的心跳检测方法,用以判断网络的连接状况,减少系统的误判率;在网络异常时,通过连续请求,实现重连或提示管理者采取相应的措施.测试结果表明:该方法提高了远程数据采集系统网络服务质量与通信的可靠性和可用性.     

Determining the specificity of terms using inside-outside information: a necessary condition of term hierarchy mining

This paper introduces new specificity measuring methods of terms using inside and outside information. Specificity of a term is the quantity of domain specific information contained in the term. Specific terms have a larger quantity of domain information than general terms. Specificity is an important necessary condition for building hierarchical relations among terms. If t₁ is a hyponym of t₂ in a domain term hierarchy, then the specificity of t₁ is greater than that of t₂. As domain specific terms are commonly compounds of the generic level term and some modifiers, inside information is important to represent the meaning of terms. Outside contextual information is also used to complement the shortcomings of inside information. We propose an information theoretic method to measure the quantity of terms. Experiments showed promising results with a precision of 73.9% when applied to terms in the MeSH thesaurus.     

VCG机制在P2P存储系统副本放置中的应用

在点对点（P2P）存储系统副本放置简化模型下引入维克瑞—克拉克—格罗夫斯机制(VCG),建立副本放置模型到VCG机制的映射,设计适当的支付函数以达到副本预放置节点的激励相容,并分析占优战略均衡的存在性,证明了该均衡在多项式时间内可达到均衡。仿真实验表明该机制能达到预放置节点的激励相容。     

Selection of computer-integrated manufacturing technologies using a combined analytic hierarchy process and goal programming model

Investment in computer-integrated manufacturing (CIM) is a multi-attribute problem, which includes both qualitative and quantitative factors. In order to select the best set of CIM alternatives among the competing ones it is necessary to make a trade off between the quantative and qualitative factors some of which may conflict. Selection of appropriate CIM alternatives is vital in manufacturing companies’ long-term competitiveness, and it requires development of selection models. The selection model must consider various quantative and qualitative objectives and constraints simultaneously. For example, companies have generally limited funds to invest in new advanced technology. The size of the allocated fund limits the types and number of CIM alternatives a company can select in a given time period. In this article, a combined model of the analytical hierarchy process and goal programming is proposed to consider multiple objectives and constraints simultaneously. A real-world example is provided to illustrate the application of the combined approach.     

网络采购系统中安全机制的研究与实现

针对网络采购系统中的安全问题,提出了一种网络采购系统安全机制模型,综合应用数字证书与ASP.NET的Forms身份验证相结合的认证技术,以及数据加密和数字签名技术,实现了其安全机制。同时,基于B/S模式下实现加密与数字签名的问题,开发了电子合同加密和数字签名智能客户端程序,为构造安全实用的大型网络采购系统奠定了技术基础。     

乙苯装置工艺仿真培训系统开发

以8万吨/年苯乙烯乙苯装置仿真培训系统的开发,对该装置工艺复杂,涉及组分多,无法应用经验模型仿真,故采用严格的机理模型,开发了多个化学单元设备的仿真模块,并采用序贯模块法开发了整个系统的仿真模型,通过有效的计算法,保证仿真速度的实时性和外部特性的逼真。通过验证仿真系统能较真实地反映装置的开停车、生产及事故状态的动态效果,可用于培训操作工,也可用于专家研究生产工艺的优化、诊断和控制方案,在实践中效果良好。     

Development of an integrated reflow soldering control system using incremental hybrid process knowledge

In this paper, we present an industrial application of intelligent knowledge-based reflow soldering control system to economically determine process parameters and assess the outputs for surface mount assembly. The system performance of surface mounting is significantly affected by three major interconnected process segments (including solder paste application, component placement, and solder reflow) and in combination. Many surface mount manufacturers have suffered both quality and productivity losses due to the lacks of effective line setup procedures, rapid process troubleshooting, and appropriate corrective action. This proposed system develops an integrated process control scheme, the framework of hybrid process knowledge extraction through neuro-fuzzy data training, and a knowledge-based system with a GUI man–machine interface for predicting and controlling the given system performance. The efficiency and effectiveness of the proposed system are illustrated using DPMO measurement and productivity analysis.     

一种新的类Lorenz系统的混沌行为与形成机制

提出一种新的类Lorenz系统,它具有三维二次型的自治常微分方程组形式．理论分析中,应用Lyapunov判定方法研究了系统平衡点的稳定性．在此基础之上,数值仿真表明,文中所考查的动力学系统具有极其丰富的动力学现象．包括混沌和多种形式的周期运动形式．文中还分析了两个重要参数对系统稳定性的影响,并通过构建一个受控系统分析了系统混沌吸引子的形成机制．     

Development of a wheeled inverted pendulum mobile platform with a four-bar parallel mechanism

A wheeled inverted pendulum (WIP) offers benefits such as a small floor occupation area, high dynamic stability, and horizontal force sensitivity. However, the body of a WIP robot inclines at the start of acceleration or deceleration, when an external force is applied, or when the position of a CoG is changed. This incline may result in degraded task performance such as object dropping during delivery or image swaying when taking video. In this paper, a WIP mobile platform adopting a four-bar parallel mechanism which provides robust load position variance and horizontal posture keeping is proposed. The basic structure of this platform connects two front and rear inverted pendulums and two upper and lower bars with free-rotational joints, so as to act as a four-bar parallel link mechanism. Based on the features of the parallel mechanism, the platform can maintain a horizontal posture of the upper bar during balancing motion under various disturbances. The motion equations of the mobile platform showed that a change of the loading condition on the upper bar did not affect the balancing characteristics, as confirmed via balancing simulations. Two possible application tasks, namely object delivery and image taking, were successfully demonstrated to show the utility of the platform in terms of its horizontal posture compensation function and its robustness in terms of load position variance.