基于IoT的可穿戴远程心电监测设备设计

为了实现人体心电信号的远程实时动态监测,设计了 一款可穿戴心电监测系统.此设备由织物电极和控制盒组成,固定于紧身运动背心上,通过织物电极传感心电信号,蓝牙模块采样后,传输到手机APP端和主控制模块,主控制模块完成心率计算、阈值判断、心电压缩、数据存储和上报数据至物联网平台.该系统可以实现控制盒上报数据和蓝牙上传数据两种...     

基于可穿戴传感器的实时心电检测方法研究

为了实时监控人体的心电信号,以胸带作为穿戴载体,设计一个可穿戴心电检测系统.内嵌于胸带的心电传感器采集佩戴者心电信号,通过蓝牙传输至移动设备应用程序,实现心电信号及心率的实时显示.所实现的心电检测算法基于自适应阈值,检测心电信号的R波并计算实时心率.设计和实施了实地实验以检测系统和算法性能.结果表明,心率检测算法的R波...     

警员可穿戴多体征参数监测系统的设计

为了实现公安、消防等高危职业的体征参数监测,以公安日常装备(警盔和T恤)为可穿戴载体,设计了一种体征参数监测系统,实现血氧饱和度、心电、心率的检测、传输和显示.警盔利用反射式探头采集光电容积脉搏波PPG(photoplethysmography)信号,检测血氧饱和度;T恤利用导电硅胶和ADS1292R采集心电ECG(electrocardiogram)信号,检测心电和心率;APP实现体征参数的实时显示.实验表明,ECG信号R波定位的准确率能达到98.5%以上;与标准监护仪对比,血氧、心率的平均误差都较低,血氧的最大误差在5%以内,心率的最大误差在10次/min以内.在不影响正常活动下,系统能够满足国际标准对实时体征参数监测的要求.首次设计了一套适用于警员的可穿戴体征参数监测系统,并实现了参数监测的准确度和稳定性.     

远程心电智能监护系统设计

为实现远程智能监控病人心电的目的,设计了一款心电智能监护系统的装置,装置以MSP430微控制器为核心,研制了心电智能监护系统的软、硬件系统,对心电信号进行数字滤波算法等处理,能实时显示波形和心率,并智能地检测心律失常,如果检测到PVC或其他症状,则通过无线模块向基站、病人、或亲友报警。     

基于无线传感网络的电气设备温度智能监测系统

为防止由于温度异常造成的电气设备故障,提出基于无线传感网络的电气设备温度智能监测系统。利用无线传感网络及ZigBee网络采集节点,低功耗采集并传输电气设备温度信息到监测中心,利用DNN网络构建电气设备温度监测智能分析模型,实现电气设备温度的实时输出与处理。实验表明,该系统的信息传输功耗较低;可精准监测电气设备温度,可通过界面形式展现监测结果。     

基于无人值守的电网环境智能监测系统设计

针对目前电网设备无法实时监测预警以及人力、能源浪费现象,设计了一种基于自供能、无线传输网络和多传感技术的无人值守智能监测系统。该系统包括自供电能源管理模块、微控制器模块、多传感器模块、无线通信模块以及上位机。自供电能源处理模块采集当前环境中的太阳能并将其转换为3.3 V稳定电压为系统供电。多传感器模块采集当前环境中的温度、振动及声音信息传给微控制器模块融合处理,通过无线传输模块将数据信息发送给上位机进行实时显示预警。实验表明,系统工作性能优异稳定,适用于电网设备长时间的可靠监测。     

企业离散式智能设备预测性维护综述

针对智能设备的大量使用且缺乏根据监测大数据进行故障自动分析、判断与处理的问题,研究了基于物联网技术、大数据技术、边云协同技术的智能设备预测性维护框架和模式.提出针对非智能设备安装传感器实现设备智能化的方法.指出边缘计算负责设备工况数据的实时采集、分析,可快速甄别设备故障并实时报警;云计算聚焦同类设备运行海量历史数据的挖掘和分析,形成故障自动预测分析和诊断模式并下载至智能边缘设备.在研究了模型驱动、数据驱动、概率统计驱动、数字孪生和概率数字孪生驱动等故障预测模式后,提出了采用数据驱动的多层级数据融合模式,为制定企业性智能设备维保方案提供借鉴作用.     

便携式无线心电监护终端的设计

针对健康与亚健康人群对远程心电动态监护的需求,提出了一种可用于远程健康监护的便携式无线心电监护终端.此监护终端采用TI公司的超低功耗16bit单片机作为系统核心,集成了模拟心电信号处理电路,外部Flash存储模块与蓝牙通讯模块.该监护终端可完成心电信号的采集与心率实时计算,可保存1小时的心电数据,并可实现经手机与远程监护中心的实时通讯,依据监护中心的控制选择性上传实时心电数据或心率数据.实验结果表明,该监护终端可实现连续24小时的动态心电监护.     

基于STM32的便携式家用心电检测仪的设计

设计了一种基于STM32的便携式家用心电检测仪。心电电极采集体表单导联心电信号,经预处理电路对心电信号进行放大、滤波和电平抬升后,送至STM32中进行模/数转换和数字处理,在液晶屏上实时显示心电波形、心率和分析结果。实验表明,该心电仪能有效提取心电信号的特征点,准确测得心率,分析出4种常见心率失常症状,并可测得HRV的时域参数。     

基于可穿戴设备的实时运动监测方法研究

为了激励用户加强身体活动并实现对其运动状况的实时监护，提出一种基于可穿戴设备的运动监测系统。系统由健康胸带、移动应用程序和服务器三部分组成。健康胸带内嵌有心电传感器和加速度计，采集人体心电和活动信号，使用蓝牙将信号传输至移动设备。安装于移动设备的应用程序接收和分析心电和加速度信号，解析为运动参数并向用户实时展示。为了分析信号处理算法的性能、评价系统的可用性，进行了实地实验。受试者使用该系统按照给定方案运动，并填写可用性调查问卷。实验结果表明，可穿戴运动监测系统有效可行，能够给予受试者可靠的运动反馈，移动应用程序的功能设计有助于提高用户接受度。     

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.