Towards Engineering Intelligent Systems

This paper sets the rational and historical background for this issue of the Journal. It also provides editorial overviews of the three artificial intelligence (AI) technology themes of 'constraint optimisation and scheduling', 'software agents' and 'soft computing' that are covered by the papers in this issue.     

Intelligent and Pervasive Multimedia Systems

Recent advances in pervasive computing and the proliferation of multimedia-capable devices have stimulated the development of intelligent and pervasive multimedia applications. This special issue provides excellent coverage of this area, including interactive multimedia education, quality control and personalization of multimedia services, peer-to-peer multimedia streaming, mobile TV, and VoIP systems.     

Multi-modal Perception

To design, optimise and deliver multimedia and virtual-reality products and services it is necessary to match performance to the capabilities of users. When a multimedia system is used, the presence of audio and video stimuli introduces significant cross-modal effects (the sensory streams interact). This paper introduces a number of cross-modal interactions that are relevant to communications systems and discusses the advanced experimental techniques required to provide data for modelling multi-modal perception. The aim of the work is to provide a multi-modal perceptual model that can be used for performance assessment and can be incorporated into coding algorithms. The current and future applications of multi-modal modelling are discussed.     

Human-centred Intelligent Systems and Soft Computing

This paper considers the abstract features of human/machine interaction systems that are required for the production of intelligent behaviour. A conceptual architecture is then proposed for a subset of intelligent systems called human-centred intelligent systems (HCISs) and it is argued that such systems must be autonomous, robust and adaptive in order to be intelligent. Soft computing is proposed as a promising new technique that can be used to build HCISs, and examples are presented where this is already being done. Finally, flexibility is defined to be a combination of the often-conflicting requirements of robustness and adaptability, and it is argued that the right balance between these two features is necessary to achieve intelligent behaviour.     

Soft Computing for Intelligent Knowledge-based Systems

Knowledge-based systems are founded on the idea that knowledge should be declarative, so that it can be easily read, understood, and altered by a human user as well as by a machine. Logic fulfils these criteria, and logic programming has been widely used for implementing knowledge-based systems. One major shortcoming of logic programming is the lack of a mechanism to deal with the uncertainty inherent in many knowledge-based systems. Soft computing is a key technology for the management of uncertainty, although so far its major successes have been centred on fuzzy control rather than higher level information management. This paper outlines some of the issues related to the area of soft computing in knowledge-based systems, and suggests some simple problems to test the capabilities of software. Fril is discussed as an implementation language for knowledge-based systems involving uncertainty, and some of its applications are outlined.     

No Pervasive Computing without Intelligent Systems

For pervasive computing ideas to reach, and be used, by the general public, they should fulfil an unmet need. Automation of manual tasks in the home, car or at work provides a rich environment for new services and applications. Pervasive computing can be the infrastructure upon which such services can be built. However, without intelligent systems to support pervasive computing environments, users will be overwhelmed by the complexity of the systems with which they are asked to interact. Experience shows that, to be adopted, technologies must address a need without making unreasonable demands of the user, and without imposing huge maintenance and access costs. Intelligent systems will play a major part in enabling the applications that will create user need in pervasive computing environments — facilitating user access to the environment and reducing management cost to supportable levels. This paper will explore the social and technological research issues relevant to the use of intelligent systems in pervasive computing. These include privacy and data protection, user interface and human interaction with intelligent systems, knowledge acquisition, and the management of large-scale systems capable of autonomous action.     

Intel Intelligent Systems Transform Computing Experience

连接技术与嵌入式处理技术的发展,推动嵌入式系统向智能系统的转变,也改变了传统从原有的计算机向计算能力的转变,更加强调计算能力与计算体验.     

Big Data in Intelligent Information Systems

Mobile Networks and Applications -     

Traffimatics — Intelligent Co-Operative Vehicle Highway Systems

This paper describes the vision of the Traffimatics project — the vision of the connected car. Traffimatics aims to develop the concept of intelligent co-operative vehicle highway systems, supporting a wide range of applications ranging from real-time traffic information and safety warnings to in-car entertainment and personal telematics. The project also investigates the possibilities of using vehicles to create a large-scale self-organising sensor and communications network enabling the intelligent co-operative vehicle highway systems vision. This paper looks into the state-of-the-art technologies that could enable the Traffimatics vision and also discusses market barriers and opportunities.     

智能交通系统的发展状况研究

介绍了智能交通系统的概念和目标。阐述了智能变通系统的研究内容和目前的发展状况。结合智能交通系统存在问题和我国交通的实际情况,提出了我国智能交通系统的研究重点。     

智能化燃气系统的数字化升级策略

文中旨在探讨智能化燃气系统的数字化升级策略。首先,概述了当前智能化燃气系统技术的发展现状,包括远程监控、智能计量、数据分析等关键技术。然后,分析了现有系统存在的局限性,如安全性和隐私保护、技术互操作性、可持续性、用户教育等。接下来,提出了数字化升级的关键策略,包括数据收集与分析技术的应用、物联网在燃气系统中的集成、增强用户交互界面和体验等。最后,针对存在的挑战,提出了应对策略,包括加强安全性和隐私保护、进行技术升级的成本效益分析等。     

绿色智能交通系统探讨

简要阐述了绿色智能交通系统的概念、特点和现状.初步建立了绿色智能交通顶层架构模型及信息服务模型,并认为制定绿色智能交通顶层架构的关键是理顺各行业间的关系,建设绿色智能交通的基础是信息服务模型.重复提出了太阳能光伏应用对促进绿色智能交通系统建设的意义.     

Intelligent PV Module for Grid-Connected PV Systems

Most issues carried out about building integrated photovoltaic (PV) system performance show average losses of about 20%–25% in electricity production. The causes are varied, e.g., mismatching losses, partial shadows, variations in current–voltage$(I$–$V)$characteristics of PV modules due to manufacturing processes, differences in the orientations and inclinations of solar surfaces, and temperature effects. These losses can be decreased by means of suitable electronics. This paper presents the intelligent PV module concept, a low-cost high-efficiency dc–dc converter with maximum power point tracking (MPPT) functions, control, and power line communications (PLC). In addition, this paper analyses the alternatives for the architecture of grid-connected PV systems: centralized, string, and modular topologies. The proposed system, i.e., the intelligent PV module, fits within this last group. Its principles of operation, as well as the topology of boost dc–dc converter, are analyzed. Besides, a comparison of MPPT methods is performed, which shows the best results for the incremental conductance method. Regarding communications, PLC in every PV module and its feasibility for grid-connected PV plants are considered and analyzed in this paper. After developing an intelligent PV module (with dc–dc converter) prototype, its optimal performance has been experimentally confirmed by means of the PV system test platform. This paper describes this powerful tool especially designed to evaluate all kinds of PV systems.     

分布式远程网络化智能测控系统研究

网络时滞是影响网络化测控系统性能的重要因素,是当前研究的热点问题。针对网络化测控系统的特点和时滞特性,建立了一种网络化远程测控系统模型,并基于模型分析了网络时滞,论述了运用DMC(Dynamic Ma-trix Control)解决网络时滞的方法。采用了嵌入式实时操作系统、SQlite、MinimumCORBA和网络传感器等技术,实现了网络化远程测控系统。     

智能大厦系统工程综述

从智能大厦的概念出发，阐述智能大厦各个子系统特点及其实现，并对智能大厦的发展方向进行了论述。     

智能化住宅小区通信网络设计

智能化住宅小区通信网络是小区内综合信息服务、小区与外界广域网连接、小区智能物业管理的物理平台。本文介绍了构建智能化住宅小区通信网络平台的两种主要方式：局域以太网和HFC网。     

飞机悬挂物智能管理系统研究

分析了飞机悬挂物智能化管理系统的意义,介绍了接口标准化是实现武器系统通用化的主要途径,提出了采用多路传输总线和人工智能等技术的飞机悬挂智能管理系统的总体设计思想。     

Cloud-Supported Seamless Internet Access in Intelligent Transportation Systems

Great progress of technologies makes intelligent transportation system (ITS) services increasingly desirable. It becomes essential to seamlessly connecting to the Internet for accessing high quality Internet-enabled ITS services. In this context, gateway is recognized as the logical portal to the Internet. The efficiency of gateway regulation hence significantly sways the quality of ITS services. To seamlessly access the Internet in ITSs, a cloud-supported gateway model is proposed in this paper. Accordingly, the weighty load of gateway government, including gateway registration, discovery, selection, dispatching, and handoff, is offloaded from the clients to the appointed cloud servers. Numerical analyses and simulation results suggest that the gateway model proposed in this paper effectively improves the system performance in terms of the packet delivery rate, end-to-end delay, signaling overhead, and gateway connectivity; and, correspondingly enhances the usage experience of Internet-enabled ITS services.     

面向机构的智能文本分析系统的研究

随着电子文本信息在机构内部的快速增加,人们无法应对堆积如山的文档,许多文档无法实现其信息价值,如何充分利用这些文本信息资源已成为一个迫切需要解决的问题。介绍一种可用于机构内部的智能文本分析系统以及相关的关键技术,其功能包括文档检索、文档自动摘要和话题自动识别与跟踪。利用智能文本分析系统能够充分实现文本文档的信息价值。