智能化医养融合服务平台关键技术及应用研究

近年来,我国医疗健康和养老服务行业存在资源结构不平衡、医养服务智能化水平低、跨域协同难等问题;同时,缺乏应对重大疫情与突发公共卫生事件的信息化体系与机制。针对上述问题,本文基于大数据、人工智能、物联网、服务计算等新一代信息技术,通过服务模式、服务匹配、医养大数据治理、智能化诊疗服务与智能化辅助诊断机器人等关键技术创新以及智能化医养融合服务平台的研发,通过“互联网+医疗健康”和“互联网+养老”服务体系的深度智能化协同,实现了医疗健康与养老服务的深度融合,解决了医养服务资源整合难、多源多模态数据与异构系统治理难、全流程全周期智能辅助诊疗以及医养融合服务供给难等挑战性问题。     

应用物联网技术提高食品安全探究

针对近年国内频繁出现的食品安全问题,引入物联网技术可以从一定程度上提高食品安全监管.物联网技术能够利用精确传感系统收集大量食品生产、装配、流通、销售等过程中的数据,并将这些数据实时的传输到数据信息中心,为食品安全地到达消费者手中,提供有效地监测.     

基于综合相似度和社交标签的推荐算法

针对传统个性化推荐方法所面临的冷启动、数据稀疏等问题,本论文结合了项目组的前期研究,在综合考虑用户特征和用户信任度的基础上,引入了用户兴趣,形成综合相似度.针对目前推荐系统中评分数据较少的问题,论文结合了社交标签,丰富了推荐数据.首先利用综合相似度,找到用户的相似近邻,并将相似近邻所标注的标签形成一个标签集.其次利用基于标签的推荐算法,产生最终的推荐列表.实验结果表明,该算法能够有效提高推荐的准确率和召回率.     

基于光栅传感器的三坐标数据采集系统研究

基于光栅传感器的正交三坐标机系统中,数据实时采集时容易出现缓冲区内存不足甚至得到异常数据的问题.针对以上问题结合PMAC数据采集的方式进行了分析,并依照数据读取的原理设计出解决方案.结合该方案,在VC++环境下利用PtalkDT控件设计出了基于DPRAM技术的实时采集软件系统.实验证明:该系统能够快速、可靠地进行实时数据的采集.     

基于Hadoop的医疗大数据分析系统的研究与设计

针对目前部分医院对于庞大医疗数据处理能力匮乏问题,设计了一个基于Hadoop的医疗大数据分析系统. 该系统可提供辅助诊断和医疗数据统计两大功能,同时融合了多节点分布式计算技术,可以根据患者的医检数据快速生成初诊结果,并能够有效地改善传统医疗数据信息系统分析效率较低的现状.     

基于OMAPL138数显仪表字符识别系统的设计与实现

为了能够方便、准确地识别出数显仪表中的数据,设计了一种基于OMAPL138的嵌入式图像处理识别系统.在详细介绍系统硬件平台和各子模块的基础上,重点介绍了针对嵌入式系统所采用的图像处理算法.利用图像处理技术,对获取的原始图像进行预处理、字符定位、字符分割;采用BP神经网络等技术对字符进行识别;为提高嵌入式系统图像处理速度,针对性地优化了图像处理算法.以低温等离子体设备系统中的真空计设备作为具体应用对象进行系统测试,测试结果表明,该系统能够较为准确、快速地识别出数显仪表中的数据.     

基于ZL70102的胶囊内窥镜无线传输系统

针对目前传统消化道疾病诊断正确率低、检查过程痛苦等问题,设计了一种利用无线通信技术将肠道内图像数据传输到体外的胶囊内窥镜系统.首先,通过图像采集模块获得胃肠道内的图像;然后,由数字无线传输系统将图像数据发送至体外;最后,体外接收端将接收到的数据快速上传到PC机进而恢复显示图像.实验结果表明,利用MSP430和ZL70102设计的无线传输系统具有体积小、功耗低、速率高的特点,相比现有的传输模拟信号的胶囊内窥镜,此数字无线通信系统的抗干扰能力强,图像数据的传输正确率能够达到80%,功耗仅为31.6 mW.     

基于LoRaWAN的智慧农业系统

目前在智慧农业系统通信架构的实现上,利用较多的往往是ZigBee、WiFi等技术,虽然其基本能够实现较长距离传输、低功耗等需求,但是在诸如抗干扰性、成本开销等方面上也还存在着许多缺点.针对这些问题,本文介绍了一种基于LoRaWAN技术设计的智慧农业系统. LoRa终端利用STM32单片机作为主控制器结合LoRa射频模块设计而成,通过树莓派来搭建LoRa网关集中器进行数据转发,在云服务器上部署ChirpStack服务与Flask Web应用实现了对农业作物生长环境的远程监测与管理功能,并详细描述该LoRaWAN应用系统的工作原理以及系统设计.最终所实现的系统数据传输稳定,抗干扰性强,同时也极大地降低了开发成本.     

融合上下文信息与核密度估计的协同过滤推荐

随着互联网信息技术的迅速发展,网络数据量快速增长,如何在海量数据中找到用户感兴趣的信息并实现个性化推荐是目前重要的研究方向.协同过滤算法作为推荐系统中的经典方法被广泛应用于不同场景,但是仍然存在数据稀疏,以及在计算相似度时不能考虑到所有数据的问题,只能够利用具有共同评分的数据,严重影响了推荐的精确度.针对上述存在的问题...     

基于μC/OS-Ⅲ的嵌入式视频处理系统设计

针对社会生产生活中需要处理大量音视频等数据的问题,开发出基于μ C/OS-Ⅲ系统的嵌入式智能物联网处理系统.该控制系统能够实现对视频数据的采集、传输、显示等功能.以STM32F107为控制数据采集与传输的核心,通过μC/OS-Ⅲ系统实现高效处理音频数据的功能.利用OV7670摄像头采集数据,通过控制器控制传输并在LCD显示屏显示采集的数据.通过实验的测试,该系统实现了所设计的视频数据处理功能.     

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。     

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.