基于Internet的FMS远程故障诊断技术

运用Ｉｎｔｅｒｎｅｔ和基于Ｗｅｂ的数据库技术探讨了对ＦＭＳ故障实现异地、多专家、多系统协同诊断的可行性。提出了基于Ｉｎｔｅｒｎｅｔ的ＦＭＳ远程故障诊断系统的基本结构,并对系统实现中的关键技术进行了讨论。     

基于MSM7512B的远程数据传输控制系统

由ＭＳＭ７５１２Ｂ、ＴＣＭ５０８７及单片机等构成的远程数据传输的控制系统,对ＭＳＭ７５１２Ｂ和ＴＣＭ５０８７的功能进行了说明,并介绍了家庭火盗警报警系统的典型应用实例。     

基于TMS320C80的图形图象处理系统

概述了ＴＭＳ３２０Ｃ８０ＭＶＰ并行处理器的系统结构与主要特点，介绍了ＴＭＳ３２０Ｃ８０软件开发板ＳＤＢ的主要功能单元，最后给出了基于ＴＭＳ３２０Ｃ８０的图象处理产品的列表。     

Windows TCP／IP平台上MMS通信系统研究与实现

Ｗｉｎｄｏｗｓ ＴＣＰ／ＩＰ是当今流行的应用和开发平台。ＭＭＳ（制造报文规范）是计算机网络应用层的重要标准之一，适合于ＣＩＭＳ和自动化系统通信。本文首先介绍ＭＭＳ协议规范和Ｗｉｄｎｏｗｓ ＴＣＰ／ＩＰ开放系统平台，接着探讨了在Ｗｉｎｄｏｗｓ ＴＣＰ／ＩＰ平台上开发ＭＭＳ通信系统的方法和步骤，最后给出ＭＭＳ通信系统实现流程。     

TMS320C80在图像通信中的应用

介绍了多媒体视频处理器ＴＭＳ３２０Ｃ８０的系统结构和主要特征，给出了基于ＴＭＳ３２０Ｃ８０的视频图象压缩编解码器的原理框图，并讨论了ＴＭＳ３２０Ｃ８０在图象通信系统中的应用     

TMS320C25反汇编程序的设计与实现

ＴＭＳ３２０Ｃ２５是高性能３２位单片数字信号处理器，适用于数字信号处理，图形／图像处理，语音识别，通信等领域，有着广阔的应用前景。本文将分析ＴＭＳ３２０Ｃ２５指令代码的特点，介绍ＴＭＳ３２０Ｃ２５反汇编程序的设计与实现思想。     

分布式测控系统中的远程通讯设计

本文论述了采用ＭＯＤＥＭ调制解调技术、ＡＴ命令集及ＭＣＳ－５１汇编语言实现分布式测控系统在公用电话网中进行远程数据通讯的原理及设计方法。     

分布式工程数据库管理系统dEDBMS

随着ＣＡＤ／ＣＡＭ等工程应用的逐步深入，对具有分布式管理功能的工程数据库管理系统的需求日益迫切。为此，在我室自行研制的单用户工程数据为核心管理系统ＥＤＢＭＳ／２的基础上，欠设计并实现了一个分布式工程数据库管理系统－－－ｄＥＤＢＭＳ。ｄＥＤＢＭＳ运行在ＳＵＮ ＴＣＰ／ＩＰ网络环境，基于作者提出的扩展客户／服务器体系结构。针对工程应用之特点，提供远程数据库访问和检出／检入两种操作模式，支持多服务器的自     

自动化仪器远程数据通讯的实现

远程数据通讯是自动化仪器经常遇见的问题，本文提出一种采用调制解调器进行数据远程传输的实用方法，程序是根据美国Ｈａｙｅｓ公司的ＡＴ指令集，用ＭＣＳ－５１汇编语言编写，也适用于其它形式单片机为智能芯片的自动化仪器。     

TMS320C3X的汇编语言和C语言及混合编程技术

介绍ＴＭＳ３２０Ｃ３Ｘ的汇编语言特点和Ｃ语言开发ＴＭＳ３２０Ｃ３Ｘ数字信号处理器的过程,及ＴＭＳ３２０Ｃ３Ｘ的汇编语言和Ｃ语言的编程接口。     

基于PDA的实时远程会诊系统的设计及实现

远程专家会诊系统为主治医生在紧急手术中能够做出及时、正确的医疗决策起到非常重要的作用。本文提出一个基于PDA的实时远程会诊系统,结合Wi-Fi的无线局域网技术及3G无线通信网络技术,使得主治医生和远程专家不需要固定在某个位置;另外,本系统引入影像的渐进压缩算法,使得主治医生与远程专家的PACS终端的影像保持同步,进而达到远程会诊的时实性。该系统的研究增加了病人获救的几率,具有一定的现实意义。     

对线程池模式的分析及其实现

对于并行处理且处理过程相同时,采用线程池技术是一种简单而高效的机制,尤其用在Web服务器或应用服务器时它能显著地改善服务器应用程序的性能.本文主要介绍了企业级应用程序设计的线程池模式的思想,并用java提供了创建和实现组件的标准设计技术,这些组件用来解决通常并行程序所带来的风险。在设计上采用了工作线程来派遣和处理并行任务,并提供了一种基于面向对象的安全线程池框架,在框架中开发人员和最终用户可以配置和控制线程资源。     

Turing machine task analysis: specifying emergency assistance functions for a telemedicine system

Cognition, Technology & Work - Isolated caregivers in remote environments frequently request medical advice or decision support from distant experts. Among the multiple difficulties arising...     

Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP)

The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior citizen’s home, workplace, or care centre to help manage their health condition on a continuous basis. Using this method, healthcare providers can assign various jobs to nurses by utilizing a general task definition mechanism, in which a task is defined as a combination of medical workflow, operational guidelines, and data gathered from a remotely monitored virtual nursing system. Practitioners are in charge of DBN-EP and make treatment decisions for patients. This allows a DBN-EP to act as a personalized full-time nurse for a client by carrying out practitioner support activities based on information gathered about the client’s health. An electronic Personal Health Record (ePHR) system, such as a specialized web portal and mobile apps, could provide such patient information to elderly person family members and care centres. We created a prototype system using a DBN-EP system that allows traditional client applications and healthcare provider systems to collaborate. Finally, we demonstrate how this system may benefit the elderly through a result and debate.     

MOM vs. RPC: communication models for distributed applications

An important aspect of designing a distributed application is the communication model we use to connect its various components. Some middleware solutions, such as Web services, offer two of the most important communication paradigms: asynchronous messaging and remote procedure call (RPC). Message-oriented middleware (MOM) lets a service's consumers physically and temporally decouple from the service providers. Communication between service providers and the consumers is asynchronous, and it don't need to be available at the same time because they communicate by sending and receiving messages from designated message queues. In contrast, RPC is a synchronous method of requesting remote service execution. Consumers must suspend service execution until they receive a reply from the provider. MOM and RPC have advantages and disadvantages. MOM solutions tend to be more robust to failures than RPC, and it allows service requesters to continue to process while service provider's work on their requests. However, programming MOM-based applications is more cumbersome because distribution isn't as transparent to the programmer as with RPCs. In this column, we provide a quantitative framework, which we can use to compare MOM- and RPC-based solutions.     

Interactive survival analysis with the OCDM system: From development to application

Medical data mining is currently actively pursued in computer science and statistical research but not in medical practice. The reasons therefore lie in the difficulties of handling and statistically analyzing medical data. We have developed a system that allows practitioners in the field to interactively analyze their data without assistance of statisticians or data mining experts. In the course of this paper we will introduce data mining of medical data and show how this can be achieved for survival data. We will demonstrate how to solve common problems of interactive survival analysis by presenting the Online Clinical Data Mining (OCDM) system. Thereby the main focus is on similarity based queries, a new method to select similar cases based on their covariables and the influence of these on their survival.     

Challenges to remote emergency decision-making for disasters or Homeland Security

New technology allows information gathering and collaboration across information networks that would be of benefit to emergency response. In a Homeland Security Exercise we compared the utility of fixed and mobile video and high quality still images on remote expert decision-making. Sixteen experts situated in three countries viewed and seven evaluated events of the exercise assisted by audio commentary of local knowledge experts. They evaluated the usefulness of black and white (B/W) compared to color images, fixed fast video versus slow video and still images. Technical difficulties interrupted image transmission to one remote site for half the Exercise. However, the images were found useful, color more so than B/W, mobile more so than fixed. The combination of still images and video was best. Playback of recorded images was especially useful for remote evaluation and decision-making. Improved reliability for these imaging technologies could improve shared awareness and large-scale coordination for Homeland Security events.     

An approach to assessing virtual environments for synchronous and remote collaborative design

This paper considers applying novel Virtual Environments (VEs) in collaborative product design, focusing on reviewing activities. Companies are usually anchored to commercial ICT tools, which are mature and reliable. However, two main problems emerge: the difficulty in selecting the most suitable tools for specific purposes and the complexity in evaluating the impact that using technology has on design collaboration. The present work aims to face both aspects by proposing a structured benchmarking method based on expert judgements and defining a set of benchmarking weights based on experimental tests. The method considers both human–human interaction and teamwork-related aspects. A subsequent evaluation protocol considering both process efficiency and human–human interaction allows a closed-loop verification process. Pilot projects evaluate different technologies, and the benchmarking weights are verified and adjusted for more reliable system assessment. This paper focuses on synchronous and remote design review activities: three different tools have been compared according to expert judgements. The two best performing tools have been implemented as pilot projects within real industrial chains. Design collaboration has been assessed by considering both process performance and human–human interaction quality, as well as benchmarking results validated by indicating some corrective actions. The final benchmarking weights can thus be further adopted for an agile system benchmark in synchronous and remote design. The main findings suggest defining both an innovative process to verify the expert benchmark reliability and a trusty benchmarking method to evaluate tools for synchronous and remote design without experimental testing. Furthermore, the proposed method has a general validity and can be properly set for different collaborative dimensions.     

IKS index: A knowledge-model driven index to estimate the capability of medical diagnosis systems to produce results

The evaluation of a medical diagnosis system can depend on several external parameters, such as experts’ opinions/criteria or the gold standard used. In addition, there are other parameters that can be measured in a medical diagnosis system, and one of these parameters in particular is the sensitivity. Sensitivity allows knowing how sensible a system is to produce results in different environments. Hence, the aim of this paper is to provide researchers with an index able to estimate a parameter very similar to common sensitivity. This would permit to know an estimation of the results relying on the modeling of the knowledge base. It would be the mathematical justification of this index that would allow estimating the aforementioned parameter. Therefore, the index would in general allow an estimation of the sensitivity without the necessity of having external feedback from experts in the field, which is one of the main lacks within the classical sensitivity metric.     

RFID Positioning and Physiological Signals for Remote Medical Care

The safety of patients and the quality of medical care provided to them are vital for their wellbeing. This study establishes a set of RFID (Radio Frequency Identification)-based systems of patient care based on physiological signals in the pursuit of a remote medical care system. The RFID-based positioning system allows medical staff to continuously observe the patient's health and location. The staff can thus respond to medical emergencies in time and appropriately care for the patient. When the COVID-19 pandemic broke out, the proposed system was used to provide timely information on the location and body temperature of patients who had been screened for the disease. The results of experiments and comparative analyses show that the proposed system is superior to competing systems in use. The use of remote monitoring technology makes user interface easier to provide high-quality medical services to remote areas with sparse populations, and enables better care of the elderly and patients with mobility issues. It can be found from the experiments of this research that the accuracy of the position sensor and the ability of package delivery are the best among the other related studies. The presentation of the graphical interface is also the most cordial among human-computer interaction and the operation is simple and clear.