基于物联网的楼宇物业远程监控终端设计

提出基于物联网的楼宇物业远程监控终端设计方案，根据物业远程监控终端部署物联网环境，对其终端参量及其模块进行有针对性的优化设计，由基于物联网络的多终端数据链路模型、多目标远程监控动态模型设计、物联网络监控远程网关结构设计3部分量化设计构成。通过与3种不同算法终端的仿真数据对比，证明本文设计方法有效、可行，能够解决楼宇物业远程监控终端因信号参量问题导致的控制效率偏低、误差偏大的问题。     

基于连续细节特征分解的数据并行聚类挖掘

为了提高对物联网多媒体音视频数据的检测识别能力,提出基于分段聚类的物联网多媒体音视频数据并行聚类挖掘方法.对采集的物联网多媒体音视频数据进行分段检测和连续谱密度特征分解,采用子空间匹配降噪方法进行多媒体音视频数据的滤波提纯处理,建立物联网多媒体音视频数据的多载波分析模型,结合频谱融合和连续细节特征分解方法进行物联网多媒...     

基于物联网的城市交通突发事件的检测研究

设计了基于物联网的智能交通网络公路交通突发事件自动检测方法。利用物联网技术的优势,以交通突发事件所具有的特征研究为基础,以交通突发事件本身特征作为主要检测对象,进行有针对性的城市道路信息的采集,并使用免疫算法作为采集信息的数据融合方法,根据融合后的数据来对交通突发事件进行判定。实验表明,利用物联网平台并配合免疫算法,无论是检测率还是误报率都有比较大的改善,并且对于未知的突发事件也有较好的支持,是一种非常有效的城市交通突发事件检测方法。     

医联网应用中异源健康数据语义融合方法研究

医疗物联网及移动医疗应用中多种传感器采集的生命体征数据,以及各类健康医疗数据彼此之间存在语义异构性,导致智能医疗物联设备数据融合困难。针对这一问题,研究了基于开放关联数据的语义消歧方法。首先对设备数据进行本体建模,形成局部本体;然后利用图匹配算法将局部本体与开放医疗关联数据进行概念对齐,间接消除异源数据间的语义异构性;最后,在运动手环与体重计数据融合实验中,通过与开放关联数据源的关联匹配判定血压和体重等异构概念属于语义相关概念。实验结果表明,通过与开放关联数据源关联,可以实现局部本体语义扩展,进一步实现异源医联网设备数据融合。     

基于增强支持向量机的危重病人实时监控方法

研究危重病人生命体征信号准确监控问题.病人处在危重阶段,生命体征信号波动较小,很难产生剧烈的变化.信号变化差异在通过无线传感网络进行传播的过程中,容易由于差异过小发生信息的延迟,衰减,造成信号不能及时传递.传统方法是采用生命体征的明显波动进行报警监控的,一旦病人的生命体征信号过于微弱,不能发生较大的阀值报警,会造成误报警和虚报警.为此,提出了一种增强支持向量机算法的危重病人实时监控方法.对生命体征信号进行增强处理,提高生命体征信号的强度,判断危重病人生命体征信号是否出现异常.从而实现危重病人的实时监控.实验结果表明,改进算法能够提高危重病人监控的准确性.     

融合免疫原理与多Agent网络安全系统研究

针对免疫系统不能适用于所有安全机制来解决网络安全的问题.通过将免疫系统和多Agent系统的多种特性引入网络安全系统,提出了一种基于免疫原理和多Agent融合方法的网络安全系统模型.设计了具有两种类型Agent的多Agent系统,并以访问控制、IDS、Honeypot等网络安全工具定义了这些Agent,使网络安全系统提高了适应性能力等特征.     

健康数据采集分析系统的交互设计研究

通过健康数据终端采集设备获取个人生命体征数据,将患者、医生两端实时连接,实现个人健康实时高质量的监控和跟踪,再对生命体征数据进行分析,为患者提供治疗参考方案。健康数据终端采集设备的交互体验设计,在系统应用中起着重要作用。     

个人健康物联网云监护系统

为满足医护人员对病患身体参数进行实时监控的需要,项目拟设计个人健康物联网云监护系统。该项目利用手环采集用户身体的体温、心率和脉搏等生命体征参数,通过WiFi密码模块将数据上传至云数据库,搭建PC监控系统平台对云数据库中的用户生命体征参数进行读取与整合,实现网络云监护。系统的设计和开发便于医生对患者进行慢病健康管理和紧急...     

信息融合技术在多Agent故障诊断中的应用

由于分布式多Agent故障诊断系统中各Agent知识和经验的限制,提供的结果和可信度将有所不同而很难得到一个正确解。所以在信息融合技术的基础上,提出了解决这类问题的四种信息融合方法。模糊信息融合方法、贝叶斯信息型融合方法、D—S证据理论信息融合方法和可信度信息融合方法。这些信息融合方法功能互补、相互配合协助多Agent故障诊断专家系统将来自不同Agent的、带有差异的结果进行融合,使融合后的结果比单个Agent的诊断结果可信度更高,从而提高故障诊断专家系统诊断结果正确率。     

基于液态金属RFID居家养老安全的智能穿戴感知设计

针对当下人力资源紧张、机构养老设施不足、运I行成本较高等养老问题,设计一款智能实现对老年人身体各项重要生命体征信息的实时监测和预警的系统,运用多个传感器和液态金属RFD标签实现生命体征参数和动作位置数据采集,建立完整的生命采集终端,对目标的采集信息进行实时分析和监控预警,当体征信息异常情况时发出预警,从而提高对目标生命信息分析判断的正确率。本设计可广泛应用于我国的居家养老、社区监护中,为提升我国居家养老的效率和质量,满足群众多层次、多样化、低成本的需求提供一种经济可行的解决方案。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.