基于电话交换机的远程家电控制系统

本文设计的远程家电控制系统可以实现固定电话和移动电话对空调、电视、热水器等家用电器的远程控制,用户可以在任何时间、任何电话网络覆盖的地点对家中的任何电器设备进行远程遥控。实验证明,本系统性能稳定、工作可靠,并且不影响电话的正常使用,还可根据用户的需求,灵活接入多部分机和多台家用电器,较国内外同类产品有较大创新。     

家用电器远程控制系统的设计与实现

选用51单片机和GSM远程通信模块,设计实现了家用电器远程控制系统。客户可利用手机短信,借助移动通信网络实现对家用电器的开关等远程控制。该系统具有用户身份信息和用户指令自动识别等功能,操作简单,实用性强,具有广阔的应用前景。     

A systematic approach for new service concept generation: Application of agent-based simulation

In new service development (NSD), a concept design that influences the direction of other activities is considered as a crucial stage. Although several methods exist, most of them cannot reflect responses of future potential customers because they assume that customers have the same responses in the future. Therefore, by using agent-based simulation (ABS) that can understand the future status of a service system, this paper suggests a new approach to creating the most promising service concept. The proposed approach considers the future trends of various customer responses and service concept strategies of firms by using ABS, generating a more accurate concept. By applying the suggested approach to a healthcare industry, its practicability and utility are verified. The novel approach based on the agent-based simulation method, which has customer, service provider, and competitor agents, is expected to be useful for service providers in a competitive market.     

家电LCD显示系统EFT防护

简要介绍了家电LCD显示系统的EFT测试标准与防护,以及从硬件和软件方面提高EFT防护等级可以采取的对策.     

嵌入式开放平台在家电信息网络化中的研究与实现

通过分析智能家电、享居网络的现状与未来发展趋向,以ARM技术和嵌入式Linux操作系统为基础,提出基于智能家电的嵌入式开放平台的设计思想,构建出针对智能家电的嵌入式控制环境,并从设备层、中间层、应用层等方面详细论述了该平台的设计与实现。实现中间层对底层不同设备的兼容和向上层提供各类应用程序开发的统一接口,实现具有简单、高效、界面友好的嵌入式开放性平台。     

Using the affordance concept for model design in agent-based simulation

When designing an Agent-Based Simulation Model a central challenge is to formulate the appropriate interactions between agents as well as between agents and their environment. In this contribution we present the idea of capturing agent-environment interactions based on the “affordance” concept. Originating in ecological psychology, affordances represent relations between environmental objects and potential actions that agents may perform using those objects. We assume that explicitly handling affordances based on semantic annotation of entities in simulated space may offer a higher abstraction level for dealing with potential interaction. Our approach has two elements: firstly a methodology for using the affordance concept to identify interactions and secondly a suggestion for integrating affordances into agents’ decision making. We illustrate our approach indicating an agent-based model of after-earthquake behavior.     

家电控制器软件功能测试用例生成方法研究

控制器软件质量是影响家电产品可靠性的关键因素之一.设计了基于虚拟仪器技术的软件测试系统,以NI接口板卡和LabVIEW为平台,可以有效地完成家电控制器软件的功能测试.针对自动测试用例的生成、组织、存储等系统实现的关键问题,提出了编写测试用例和从手动测试结果中抽取测试用例这两种生成手段,并提出了测试用例分析、抽象描述和数据组织的方法,其有效性和实用性在实验室及现场使用中得到了验证.     

数字信息家电和智能家居系统的产业化研究

本文对数字信息家电和智能家居系统的产业化问题的市场需求分析与发展方向厦其产业化目标进行了研究，对存在的问题，进行了分析讨论。提出了我国数字信息家电和智能家居系统的产业化的必要性。     

数字信息家电和智能家后系统的产业化研究

本文对数字信息家电和智能家居系统的产业化问题的市场需求分析与发展方向及其产业化目标进行了研究,对存在的问题,进行了分析讨论,提出了我国数字信息家电和智能家居系统的产业化的必要性.     

ViCTS: A novel network partition algorithm for scalable agent-based modeling of mass evacuation

Emergency evacuation is a critical response to deadly disasters such as hurricanes, floods, and earthquakes, etc. However, mass emergency evacuation itself is a complex process that sometimes could lead to chaotic situations and unintended consequences. In many emergency scenarios, mass evacuation is necessary to cope with severe public threats within tight spatiotemporal ranges. To better understand complex phenomena like mass evacuation, and study possible consequences, agent-based models (ABMs) have been widely developed in previous work. Existing models simulate individual behaviors, posing computational challenges when applied to large geographic areas and sophisticated behaviors. A key strategy for resolving such computational challenges is to partition transportation networks into smaller regions and resolve corresponding computational costs by taking advantage of advanced cyberinfrastructure and cyberGIS. In this study, a novel network partition algorithm is developed to improve the scalability of agent-based modeling of mass evacuation based on a cutting-edge cyberGIS-enabled computational framework that exploits the spatial movement patterns of emergency evacuation. Specifically, the algorithm is termed as Voronoi Clustering based on Target-Shift, or ViCTS. It is enlightened by network Voronoi diagrams and designed to resolve computational scalability challenges caused by the unique characteristics of evacuation traffic. We conducted a set of computational experiments with real street network data in various evacuation scenarios to test the effectiveness and efficiency of the algorithm. Computational experiments show that ViCTS outperforms a widely used network partition algorithm for microscopic traffic simulation in terms of achieving optimal computational performance by balancing computational loads and reducing communications across high-performance parallel computing resources.     

A novel diffractive backlight concept for mobile displays

Abstract— Power‐efficiency demands on mobile communications device displays have become severe with the emergence of full‐video‐capable cellular phones and mobile telephony services such as third‐generation (3G) networks. The display is the main culprit for power consumption in the mobile‐phone user interface and the backlight unit (BLU) of commonly used active‐matrix liquid‐crystal displays (AMLCDs) is the main power drain in the display. One way of reducing the power dissipation of a mobile liquid‐crystal display is to efficiently distribute and outcouple the light available in the backlight unit to direct the primary wavelength bands in a spectrum‐specific fashion through the respective color subpixels. This paper describes a diffractive‐optics approach for a novel backlight unit to realize this goal. A model grating structure was fabricated and the distribution of outcoupled light was studied. The results verify that the new BLU concept based on an array of spectrum‐specific gratings is feasible.     

A cognitive approach for agent-based personalized recommendation

There is an increasing need for various e-service, e-commerce and e-business sites to provide personalized recommendations to on-line customers. This paper proposes a new type of personalized recommendation agents called fuzzy cognitive agents. Fuzzy cognitive agents are designed to give personalized suggestions based on the user’s current personal preferences, other user’s common preferences, and expert’s domain knowledge. Fuzzy cognitive agents are able to represent knowledge via extended fuzzy cognitive maps, to learn users’ preferences from most recent cases and to help customers make inferences and decisions through numeric computation instead of symbolic and logic deduction. A case study is included to illustrate how personalized recommendations are made by fuzzy cognitive agents in e-commerce sites. The case study demonstrates that the fuzzy cognitive agent is both flexible and effective in supporting e-commerce applications.     

A human-centered agent-based architecture for electronic brokerage

 Electronic brokerage, envisioning brokers acting on customers' behalf to locate required products and services at the best available price, is a promising technique to solve a specific problem of electronic commerce business relations, i.e. the identification of the goods and services satisfying the user requirements to the highest possible degree. In this paper we describe a electronic brokerage system based on a human-centered layered architecture that allows the broker to proceed seamlessly from the user's vision of the market, based on a nominal scale, to ordinal and interval based representations suitable for intelligent search agents exploiting fuzzy techniques.     

A distributed agent-based approach for simulation-based optimization

Structural design and optimization in engineering are increasingly addressing non-standard optimization problems (NSPs). These problems are characterized by a complex topology of the optimization space with respect to nonlinearity, multimodality, discontinuity, etc. By that, NSP can only be solved by means of computer simulations. In addition, the corresponding numerical approaches applied often tend to be noisy. Typical examples for NSP occur in robust optimization, where the solution has to be robust with respect to implementation errors, production tolerances or uncertain environmental conditions. However, a generally applicable strategy for solving such problem categories always equally efficiently is not yet available.To improve the situation, a distributed agent-based optimization approach for solving NSPs is introduced in this paper. The elaborated approach consists of a network of cooperating but also competing strategy agents that wrap various strategies, especially optimization methods (e.g. SQP, DE, ES, PSO, etc.) using different search characteristics. In particular, the strategy agents contain an expert system modeling their specific behavior in an optimization environment by means of rules and facts on a highly abstract level. Further, different common interaction patterns have been defined to describe the structure of a strategy network and its interactions.For managing the complexity of NSPs using multi-agent systems (MASs) efficiently, a simulation and experimentation platform has been developed. Serving as a computational steering tool, it applies MAS technology and accesses a network of various optimization strategies. As a consequence, an elegant interactive steering, a customized modeling and a powerful visualization of structural optimization processes are established. To demonstrate the far reaching applicability of the proposed approach, numerical examples are discussed, including nonlinear function and robust optimization problems. The results of the numerical experiments illustrate the potential of the agent-based strategy network approach for collaborative solving, where observed synergy effects lead to an effective and efficient solution finding.     

A goal-driven and agent-based requirements engineering framework*

The paper presents a requirements engineering framework (REF), where advanced requirements engineering techniques are combined with software quality modelling approaches to provide an environment within which the stakeholders and the analysts can easily cooperate to discover, organise, reconcile and validate the requirements for a new system. By adopting a basic and essential graphical notation, and a clear top-down methodology, REF allows for an effective involvement of the stakeholders, assisting and driving them to an early definition of the desired system's functionalities and quality attributes, while supporting the redesign of the encompassing organisational context to better exploit the new system's capabilities. As a case study, REF is applied to support the requirements engineering process for a complex software-intensive simulation system. Results demonstrate the feasibility of REF and the benefits it offers to the requirements engineering process, but also to the subsequent system development phases. As illustrated through the case study REF can, in fact, be usefully applied as a forerunner for unified modelling language (UML)-based approaches.*Part of this work was completed while the author was Senior Research Fellow with the Computing Information Systems Engineering Group, at the Royal Military College of Science, Cranfield University (UK)     

A cooperative agent-based model for active security systems

This paper presents a multi-agent model for implementing active security concepts. In this model, a group of agents can carry out their tasks cooperatively in order to achieve an ultimate security goal. Thus a low-level module of the proposed model reads the values of interesting data items of the relevant current network events and passes them to a relational database. Comparing these measurements against predefined values in an intruder signature database may point to a particular attack.The proposed model consists of two parts. (1) A multiagent Intrusion Detection System (MIDS) for detecting attacks. (2) An Active Security Mechanism (ASM) for taking active, network-wide, response against attackers. The proposed approach provides a customizable host environment built from various systems software components to allow an optimal match between the intrusion circumstances and the underlying security architecture. Thus, different frameworks can support alternative responses of existing security services. In addition, the ASM can take rapid response against attacks by making use of sensible sharing of attack intelligence. System agents communicate with each other on different hosts using an agent communication language through a message router.     

A conceptual framework for agent-based agile manufacturing cells

Abstract. Agile manufacturing techniques are perceived as the manufacturing systems of the future. Agile manufacturing cells are dynamic and reconfigurable and the modelling of the manufacturing cells and its interaction mechanism is critical to its successful use. This paper deals with the architecture and cooperation mechanism of web‐based agile manufacturing cells. Based on an analysis of structure and organization requirements of agile manufacturing cells and a comparison of three basic architectures of manufacturing systems, the quasi‐heterarchical architecture is used for the agile manufacturing cell. Functional layers are defined in this architecture to make the cell's control system reconfigurable and reusable. Agent technology is adopted for implementation of each layer's functions to establish an agent‐based model of agile manufacturing cells. Four types of agents including cooperation agent, job management agent, resource broker agent, and resource control agent are defined, and their functions discussed. Finally, a real time interaction mechanism of the agents is presented by considering the activities during the agents’ cooperation in an agile manufacturing cell.     

Parallelizing evolutionary computation: A mobile agent-based approach

Parallel computation models have been widely used to enhance the performance of traditional evolutionary algorithms, and they have been implemented on parallel computers to speed up the computation. Instead of using expensive parallel computing facilities, we propose to implement parallel evolutionary computation models on easily available networked PCs, and present a multi-agent framework to support parallelism. With the unique characteristics of agent autonomy and mobility, mobile agents can carry the EC-code and migrate from machine to machine to complete the computation dynamically. To evaluate the proposed approach we have developed a prototype system on a middleware platform JADE to solve a time-consuming task. Different kinds of experiments have been conducted to assess the developed system and the preliminary results show the promise and efficiency of our mobile agent-based approach.