一种基于序列模式挖掘的独居老人用电预警模型

随着人口老龄化的加深,独居老人数量快速增长,如何及时检测发现老人出现异常情况成为小区管理的迫切需求。另一方面,智能电表技术的发展让用电数据的采集更加精确和及时,使得实时检测老人用电数据异常成为可能,但如何对此海量用电数据进行分析成为了难点。为此,本文提出了一种基于序列模式挖掘的独居老人用电数据预警模型,从历史数据中挖掘了老人用电特征的共性和特性,同时综合考虑了时间、天气数据等外部因素,通过深度学习进行异常检测。相比传统的检测方法,本文提出的模型能更加快速准确地检测异常,为独居老人的生活提供了安全保障,显著降低了社区管理人员的压力。在真实数据集上的实验结果验证了该模型的有效性。     

一种智能监控系统的设计与实现

提出了一种智能监控系统的设计和实现,即基于生活供应线的独居老人远程监护方法,通过对日常生活中使用的水、电、煤气、燃气的使用情况进行检测,获得老人日常的生活供应线的使用情况及变化趋势。经检测老人家中生活供应线使用的数据积累,通过递推算法以及生活供应线使用的数据建立老人的活动量变化模型,并在此基础上,进行老人健康和安全状况的预测、异常推理,并将推理结果进行量化,根据该量化结果实施相适应的援助方式,从而实现独居老人的远程监护。     

基于活动量分析的独居老人远程监护系统的研究

提出了一种针对独居老人的远程监护系统,通过无线传感器获取老人的日常活动信息。通过对一段时间内采集到的活动信息进行活动量的分析,建立老人的活动预测模型,在模型的基础上进行老人活动量异常的检测,实现对独居老人的远程监护。     

独居老人云智能跌倒实时检测系统的开发

为了准确判断独居老人跌倒并且及时救助,设计开发了一种云智能实时检测系统。该云智能检测系统有效地集成了新型MEMS传感器、通信以及控制等先进技术,实现准确判断、实时检测和及时救助功能。系统通过检测装置采集独居老人日常活动数据,通过支持向量机算法（SVM）对数据进行处理,输出特征数据并通过GPRS将数据上传至物联网云平台,同时将跌倒信息发送给监护人手机。并对各种跌倒状况进行各50次实验,其结果表明：跌倒判断的正确率为100%;并且通过手机APP或者物联网云平台监护人可以实时查看独居老人日常活动,同时能接收跌倒消息以便及时救助。该装置可以突破距离限制,远程实时有效监护独居老人。     

面向独居老人的智慧居家养老系统设计与实现

针对老年人智慧养老需求,设计了一款面向独居老人的智慧居家养老系统。监护人通过手机等终端实时查看室内多种环境传感器以及老人手环上传的心率数据、血压传感器上传的血压数据,并通过USB摄像头获取老人的居家环境和生活情况,实现远程照顾老人;同时,利用GA-BP神经网络对智慧手环采集的个人健康监测信息进行分析及心脏病预测,为老人...     

独居老人无束缚照护系统的实现方法研究

针对我国老龄化日趋严重及老人照护资源短缺的问题,文中设计了一种独居老人无束缚照护系统。克服现有基于穿戴式或摄像头的老人活动监测模式的不足,无需安装摄像头或佩戴任何设备,在保障老人安全的前提下实现老人居家活动轨迹的实时监测。通过ZigBee技术组建无线传感器网络监测独居老人居家设备使用情况,自动记录老人每天的活动轨迹。当老人出现异常情况时,系统为老人设置了紧急按钮,老人通过触发按钮,系统即可自动报警通知亲属和社区医疗机构进行救助;当老人失去意识时,系统通过比对数据库中收集的老人行为习惯,自动拨打报警电话给监护端。同时监测老人睡眠、用药情况、不良习惯并帮助其改善,有助于疾病的预防和慢病治疗,同时节约人工成本,缓解人口老龄化带来的问题。     

面向独居老人的可穿戴式设备的软件系统设计与实现

随着老年人数目的不断增多,越来越多的老年人因为子女在外工作等原因而独居,子女能够随时随地地观测到独居老人的身体健康状况也变得愈加重要。目前市场上大部分穿戴式设备及其后台软件系统的大部分功能并不适用于对独居老人的看护。根据现如今人们对看护式穿戴设备的基本需求,设计并实现了面向独居老人的穿戴式看护设备的软件系统,用于对独居老人身体状况的实时监测,如果发现老人有异常情况,例如心率过高、意外摔倒等,则会根据监测数据进行分析,并及时地将信息传递给子女或亲属。     

独居老人行动分析及异常报警系统

给出一个利用模糊教学方法实现的独居老人行动分析及异常报警系统设计方案。该系统通过设置在住所中的传感器组获取老人的活动数据,引入模糊逻辑的概念,由单片机实现判别老人活动是否正常。     

基于SINS的老人跌倒实时监测方法

针对老人在跌倒的过程中人体的加速度和角速度特征量的变化,提出了一种基于卡尔曼滤波阈值算法的可穿戴式跌倒实时监测方法。以嵌入式处理器STM32F103ZET6作为处理核心,采用高精度加速度计MPU6050采集人体的加速度、角速度数据;微处理器通过对加速度数据的分析作出跌倒判断,如果判断结果为跌倒,蜂鸣器则会发出报警信号;通过SIM800C模块会向监护人发出求助短信。在搭建的可穿戴式实时监测系统实验平台中进行模型验证,通过对不同运动方式的对比,实验结果表明所提方法的可行性。     

基于ZigBee技术的老人身体状态监测系统设计

无线网络技术为独居老人的远程监控提供了新的方法.本文介绍新兴的ZigBee无线网络技术,分析其在家庭环境下人体健康监测领域的适用性与优势,针对老人护理的特点和监测需求,组建了星状结构的无线传感监测网络,提出老人身体状态监测系统整体架构,使用加速度传感器获取老人的身体状态信息,设计了协调器与终端节点,进一步探讨了各主要节点与模块的结构与功能.     

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。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。