大数据环境下智能推荐系统中协同过滤算法研究

随着互联网的普及以及电子商务的发展,各类网络应用需要大数据的支持,而信息过载是大数据应用最严重的问题之一,需要来自智能推荐系统的支持.分析了大数据环境下智能推荐系统的概念和应用,对协同过滤算法这一智能推荐经典算法进行了阐述,并介绍了其在大数据环境中的应用领域.     

基于多Agent系统的智能虚拟仪器研究

根据当前虚拟仪器技术的现状,提出了基于多Agent系统的智能虚拟仪器概念,把虚拟仪器系统中的软件单元设计成独立的Agent,通过它们之间的动态组合构成一个完整的系统.最后,借助多Agent系统构造框架JAFMAS来实现该系统模型的开发.这一概念的提出,提高了虚拟仪器的可重构性、适应性和设计效率.     

多Agent及其在信息融合中的应用

基于分布式人工智能中的多Agent系统的定义、构成和模型,以及信息融合概念、类型和方法等,阐述MAS交互及其应用,提出一种基于MAS的信息融合系统模型,并详细解释了该模型中的各组成部分的功能和作用.     

基于LonWorks防盗防火联动报警系统

研究分析了传统防盗防火报警系统只能对其中一种报警信息进行采集的情况,提出了基于LonWorks构成的防盗防火联动报警系统,并重点介绍了系统的软硬件设计.该分布式报警系统集防火、防盗功能于一体,可实现现场警情信号的自动检测、自动电话拨号报警、向中控机传送警情信息以及接收来自中控机的命令等功能,系统具有适应性强、组态灵活、报警准确的特点.     

家庭智能照明控制系统

随着科技的不断进步,经济也在飞速的发展,人民的生活水平日益提高,家庭住宅的功能性房间也在不断增多,传统的家庭照明系统已经不能满足人们对家居环境的需求,智能、节能型的家庭照明控制系统更具有环保、时尚、节能概念.该系统能够面向使用者,可根据个人的需求选择手动、自动两种控制方式,自动方式能够随意定制照明系统定时开关的时间,为大家带来便利.该系统可以扩展到其他家用电器的定时启动关闭,具有很强的通用性、实用性.     

基于分布式智能移动Agent的信息检索系统

随着网络的迅速发展和信息时代的到来,从网络中快速准确地检索到自己所需要的信息变得更为困难,于是提出了分布式移动多Agent的概念来接受此挑战.首先对Agent理论的研究现状进行了综述和讨论,主要内容包括智能Agent的概念、特性、多智能Agent系统等;然后在研究了现有的检索系统的基础上,提出了其存在的问题,并进而提出了解决方案,即基于分布式智能多Agent的智能检索系统的设计和实现;该系统可及时有效地根据用户的需求实现智能地、自主地、协作地、快速地检索、过滤和融合网络信息.     

I-bus智能照明系统在轨道交通中的应用

针对轨道交通中传统的照明控制方式的不足,简单介绍了智能照明系统的概念和特点,并详细说明了I-bus智能建筑控制系统的工作原理,构成、功能及其优势.具体阐述了I-bus智能建筑控制系统在轨道交通照明系统中的具体应用方案,从而实现轨道交通照明系统的智能化运营.     

基于Zigbee的智能交通车辆数据采集器的设计与与实现

本文研究来自于智能交通项目车辆流量检测系统,该系统以嵌入式多任务操作系统为平台,采用Zigbee 2006协议栈组成的无线Zigbee网络车辆流量数据采集系统.该车辆数据采集系统分为上位机控制和下位机控制两大部分,通过上位机软件能对任意节点参数进行设定,所控制对象对控制结果进行反馈和发送数据;能够对每一时刻的车辆流量、...     

基于移动智能体的文件完整性检查及其实现

该文提出了基于移动智能体的文件完整性检查的概念和方法,并且实现了一个原型系统。该原型系统能够对网络中各个主机上的文件进行完整性检查。和传统的完整性检查工具相比,该原型系统具有更强的适应性、灵活性和安全性。     

脉冲控制下基于合作机制的多智能体系统分组一致性研究

针对在脉冲控制下非线性多智能体系统的分组一致性协同控制问题,本文基于复杂系统中智能体间的合作机制,提出了一种新颖的具有领导-跟随网络的分组一致性控制协议.该协议控制智能体仅在脉冲时刻接收来自邻居节点的信息并更新自己的状态,减少智能体因持续接收邻居信息更新自己状态而造成的网络开销.针对不同组之间智能体的信息交互,该协议具有防止组间干扰的机制,降低了不同组之间的通信干扰,提高系统鲁棒性.此外,本文还介绍了一种适用于非线性系统的方案,增强协议的适应性.基于实现分组一致性条件,构建了多智能体系统的动力学模型,并进行了协议的详细设计和理论推导.最后,通过仿真验证了协议的正确性和有效性.     

A flexible communications protocol for a distributed surveillance system

On-line surveillance for safety and security is a major requirement of public transport and other public places to address the modern demands of mobility in major urban areas and to effect improvements in quality of life and environment protection. The surveillance task is a complex one involving technology, management procedures and people. Visual surveillance based on Closed Circuit Television system is an important part of such systems, but visual processing is not sufficient and the geographical distribution of devices and management has to be taken into account. In this paper we present a surveillance architecture that reflects the distributed nature of the monitoring task and allows for distributed detection processes, not only dealing with visual processing but also with devices such as acoustic signature detection and mobile smart cards, actuators and a range of other possible sensors. The design uses ideas from control engineering and distributed communications networks resulting in a communications architecture based on CORBA and XML messaging. We have shown how to define a generic device/sensor model appropriate for the surveillance task and sufficiently flexible so as to allow for scalability, expansion and customisation of a practical surveillance task. The paper gives sufficient details on the protocols to show how intelligent detection modules can be integrated as part of this kind of system. The system components have been implemented and integrated in two major successful trials in metropolitan railway stations in London and in Paris, as part of a major EU-funded project (PRISMATICA).     

面向公共安全数据处理的浪涌模型研究应用

近年来,随着平安城市和智慧城市项目的建设和发展,视频监控系统已经成为公安机关治安管控、打击犯罪、预防应急突发事件的有效手段。随着网络通信技术的迅速发展以及移动智能终端(如智能手机、平板电脑等)的快速普及,智能终端已经普遍携带视频监控、音频、加速传感器等感知设备。部分高端智能终端所能携带的视频设备已经超过部分低端的视频监控设备。智能终端的大量普及使得构建以人为中心的感知与计算网络成为可能。对不同信息空间的信息进行有效融合,可以加强对于公共安全事件的有效感知与检测。针对公共安全事件多源信息的融合问题,提出了数据浪涌模型,并对该模型进行了定义。同时利用该模型对人证合一系统进行了实例验证。开发的人证合一系统已经应用于北京市的多个长途车站与火车站。     

基于智能分析技术的高清视频监控系统的设计与实现

视频监控系统是安防中较为核心的软件产品,在安全系统中具有非常重要的地位。但是,在传统的视频监控系统中,视频信号的局限性很难满足现代用户对视频的需求。随着控制系统水平的提升,尤其是芯片处理技术以及视频分析技术的进步,推动了高清智能视频监控系统的发展。同时,高清智能视频监控系统具有网络和智能化分析,视频数据高清晰度等优势,更好地满足了高水平的智能视频控制﹐更好地保护了人们的人身和财产安全。     

智能视频监控系统异常行为检测算法研究综述

随着公共安全需求的快速增长,监控摄像头数量不断增多,视频监控数据呈爆炸式增长;传统的视频监控系统难以对如此海量的数据进行理解分析,因此智能视频监控系统应运而生;作为一个跨学科的研究领域,智能视频监控系统异常行为检测技术迎来重大机遇的同时也面临不少挑战;为了更好地研究智能视频监控系统异常行为检测算法,梳理了相关研究并从原理上对不同算法进行分类,对基于能量、基于聚类、基于重构、基于推断以及基于深度学习几个不同依据的算法进行对比分析,归纳了各类算法的分支研究方向,接着简要介绍了异常行为检测常用的公开数据集,最后讨论了目前异常行为检测算法所面临的挑战并针对性地提出了未来智能视频监控系统异常行为检测算法的可行研究方向。     

Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms

Recent technological advances led to the rapid and uncontrolled proliferation of intelligent surveillance systems (ISSs), serving to supervise urban areas. Driven by pressing public safety and security requirements, modern cities are being transformed into tangled cyber‐physical environments, consisting of numerous heterogeneous ISSs under different administrative domains with low or no capabilities for reuse and interaction. This isolated pattern renders itself unsustainable in city‐wide scenarios that typically require to aggregate, manage, and process multiple video streams continuously generated by distributed ISS sources. A coordinated approach is therefore required to enable an interoperable ISS for metropolitan areas, facilitating technological sustainability to prevent network bandwidth saturation. To meet these requirements, this paper combines several approaches and technologies, namely the Internet of Things, cloud computing, edge computing and big data, into a common framework to enable a unified approach to implementing an ISS at an urban scale, thus paving the way for the metropolitan intelligent surveillance system (MISS). The proposed solution aims to push data management and processing tasks as close to data sources as possible, thus increasing performance and security levels that are usually critical to surveillance systems. To demonstrate the feasibility and the effectiveness of this approach, the paper presents a case study based on a distributed ISS scenario in a crowded urban area, implemented on clustered edge devices that are able to off‐load tasks in a “horizontal” manner in the context of the developed MISS framework. As demonstrated by the initial experiments, the MISS prototype is able to obtain face recognition results 8 times faster compared with the traditional off‐loading pattern, where processing tasks are pushed “vertically” to the cloud.     

PRISMATICA: toward ambient intelligence in public transport environments

On-line surveillance to improve safety and security is a major requirement for the management of public transport networks and other public places. The surveillance task is a complex one involving people, management procedures, and technology. This work describes an architecture that takes into account the distributed nature of the detection processes and the need to allow for different types of devices and actuators. This was part of a major European initiative on intelligent transport systems. Because of the dominant nature of closed circuit television in surveillance, This work describes in detail a computer-vision module used in the system and its particular ability to detect situations of interest in busy conditions. The system components have been implemented, integrated, and tested in real metropolitan railway environments and are considered to be the first step toward providing ambient intelligence in such complex scenarios. Results are presented that not only deal with detection performance, but also on the perception of people who used the system on its effectiveness and potential impact.     

基于Hadoop的离线视频处理技术研究与实现

当前,智慧城市成为信息时代城市建设的一个基本目标,智能视频安防监控是其中重要一环,希望从视频图像提取出有效的信息,提供有效的治安防控业务信息。由于视频监控系统广泛使用于各行各业,监控视频数据已成为一类典型的大数据,因此,如何对监控视频大数据进行高效的处理成为一个重要挑战。为此,本文在分析视频处理特点的基础上,提出并实现了一种基于HadoopMapReduce计算框架的分布式离线视频处理方法,该方法根据视频处理的特点进行优化,提升了监控视频大数据的处理效率。     

视频监控系统中多路音频联网器的设计与实现

针对牢房视频监控的实际需求,提出了一种多路音频联网器的总体设计方案,使进入联网器的每一路视频信号都能够在指定的一路或多路监视器上输出,同时完成音频信号的同步切换,从而实现了多系统间音视频信号的传输控制,使构建分布式、智能化的监控系统成为可能.详细介绍了联网器的硬件设计原理和软件流程图.     

An Overview of Audio Event Detection Methods from Feature Extraction to Classification

Audio streams, such as news broadcasting, meeting rooms, and special video comprise sound from an extensive variety of sources. The detection of audio events including speech, coughing, gunshots, etc. leads to intelligent audio event detection (AED). With substantial attention geared to AED for various types of applications, such as security, speech recognition, speaker recognition, home care, and health monitoring, scientists are now more motivated to perform extensive research on AED. The deployment of AED is actually a more complicated task when going beyond exclusively highlighting audio events in terms of feature extraction and classification in order to select the best features with high detection accuracy. To date, a wide range of different detection systems based on intelligent techniques have been utilized to create machine learning-based audio event detection schemes. Nevertheless, the preview study does not encompass any state-of-the-art reviews of the proficiency and significances of such methods for resolving audio event detection matters. The major contribution of this work entails reviewing and categorizing existing AED schemes into preprocessing, feature extraction, and classification methods. The importance of the algorithms and methodologies and their proficiency and restriction are additionally analyzed in this study. This research is expanded by critically comparing audio detection methods and algorithms according to accuracy and false alarms using different types of datasets.     

智能视频算法评估综述

智能视频监控在公共安全和民用领域已经显现出有效与广阔的应用前景,备受国内外学者和众多实际工程领域专家的高度关注,制定有效、公正的智能视频算法评估准则是其应用过程中的一个重要环节.文中对当前国际上智能视频算法的评估工作进行了比较全面的综述,重点是运动检测、目标跟踪的性能评估.最后指出了智能视频算法评估的发展方向.