Diagnosing diabetes using neural networks on small mobile devices

Pervasive computing is often mentioned in the context of improving healthcare. This paper presents a novel approach for diagnosing diabetes using neural networks and pervasive healthcare computing technologies. The recent developments in small mobile devices and wireless communications provide a strong motivation to develop new software techniques and mobile services for pervasive healthcare computing. A distributed end-to-end pervasive healthcare system utilizing neural network computations for diagnosing illnesses was developed. This work presents the initial results for a simple client (patient’s PDA) and server (powerful desktop PC) two-tier pervasive healthcare architecture. The computations of neural network operations on both client and server sides and wireless network communications between them are optimized for real time use of pervasive healthcare services.     

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。     

气象移动办公系统应用研究

随着信息科技的发展,移动办公技术可以使用户把现有的计算机办公应用借助互联网和无线网络扩展到手机、PDA或其他智能终端上。该文针对气象部门工作需求,建立了气象移动办公系统。实现公文管理、企业通讯录管理、配置管理、监控管理、权限管理等模块在移动客户端上的相应操作,为人员提供了移动信息化服务。     

A mobile knowledge carrier with personalized knowledge provision

In the e-commerce era, the organization knowledge within a centralized knowledge management server can be easily accessed over the Internet by the client PCs at distinct locations. Currently, the personal digital assistant (PDA) has been widely used as the carrier for personal memos and daily records for its high mobility. Taking advantage of the personal information, the user requirements for knowledge can be determined. This research presents an intelligent KM scheme by integrating the PDA information (including notes, schedules and address book) mining model and mobile knowledge management mechanism. Based on the user profile mining technique, the PDA-ready knowledge that fits user requirements can be imported from the knowledge server to the client PDA. Demonstration cases are also provided to illustrate the applications of the proposed model in the content services and healthcare industry. By application of the mobile KM technique, the organization knowledge can be seamlessly provided to the PDA user via the data synchronization process. The attempt of this paper is to present an applicable and intelligent mobile knowledge carrier for realization of the mobile office.     

一种适合掌上电脑GIS矢量的栅格存储数据结构的研究

提出了一种适应于以掌上电脑为硬件平台的GIS数据存储数据结构设计技术 ,即基于矢量的栅格化存储结构 ,该数据结构适应于以掌上电脑为代表的小型嵌入式智能移动终端图形显示。     

连接中断计算环境下移动数据的处理模型

无线网络中断和弱连接现象,常导致用户在访问远程数据时访问中断和数据丢失,并正成为移动计算发展的一个瓶颈。基于这种现状,提出一种在无线网络出现连接暂时中断时移动计算环境下移动数据的处理模型,以解决上述问题。为提高用户访问数据的可靠性,即在出现网络连接中断时使用户能够在离线情况下继续操作且不会丢失数据,该模型在移动终端提供语义缓存功能,并能在连接恢复时立即执行被滞后的操作。     

HealthFinland—A national semantic publishing network and portal for health information

Providing citizens with reliable, up-to-date and individually relevant health information on the Web is done by governmental, non-governmental, business and other organizations. Currently the information is published with little co-ordination and co-operation between the publishers. For publishers, this means duplicated work and costs due to publishing same information twice on many websites. Also maintaining links between websites requires work. From the citizens point of view, finding content is difficult due to e.g. differences in layman’s vocabularies compared to medical terminology and difficulties in aggregating information from several sites.To solve these problems, we present a national scale semantic publishing system HealthFinland which consists of (1) a centralized content infrastructure of health ontologies and services with tools, (2) a distributed semantic content creation channel based on several health organizations, and (3) an intelligent semantic portal aggregating and presenting the contents from intuitive and health promoting end-user perspectives for human users as well as for other websites and portals.     

Integrating semantic analysis and scalable video coding for efficient content-based adaptation

Scalable video coding has become a key technology to deploy systems where the adaptation of content to diverse constrained usage environments (such as PDAs, mobile phones and networks) is carried out in a simple and efficient way. Content-based adaptation and summarization are fields that aim for providing improved adaptation to the user, trying to optimize the semantic coverage in the adapted/summarized version. This paper proposes the integration of content analysis with scalable video adaptation paradigm. They must be fitted in such a way that the efficiency of scalable adaptation is not damaged. An integrated framework is proposed for semantic video adaptation, as well as an adaptive skimming scheme that can use the results of semantic analysis. They are described using the MPEG-21 DIA tools to provide the adaptation in a standard framework. Particularly, the case of activity analysis is described to illustrate the integration of semantic analysis in the framework, and its use for online content summarization and adaptation. Overall efficiency is achieved by means of computing activity using compressed domain analysis with several metrics evaluated as measures of activity. Work supported by the Ministerio de Ciencia y Tecnología of the Spanish Government under project TIN2004-07860 (MEDUSA) and by the Comunidad de Madrid under project S-0505-TIC-0223 (PROMULTIDIS).     

多媒体英语CAI系统中介词学习模块的设计

从实际应用ＶＣ＋＋语言进行设计程序的角度出发，介绍了ＶｉｓｕａｌＣ＋＋编程环境，并分９个步骤给出了一个应用实例的具体实施。     

Meta knowledge of intelligent manufacturing: An overview of state-of-the-art

This paper tries to stimulate empirical research into the overall impacts of intelligent systems in manufacturing aspects. To reach this goal, a schema of intelligent applications is provided for each aspect as frame base structure, meaning the knowledge of intelligent applications in that specific aspect. Then, a semantic network is developed for intelligent manufacturing based on hierarchical structure of manufacturing systems to provide Meta knowledge of intelligent manufacturing applications. The analysis of semantic network indicates an increasing growth in application of soft computing in manufacturing aspects. Specially, fuzzy logic and its derivates have found more applications in recent years.     

Bringing Scheme programming to the iPhone—Experience

The iPhone SDK provides a powerful platform for the development of applications that make use of iPhone capabilities, such as sensors, GPS, Wi‐Fi, or Bluetooth connectivity. We observe that so far the development of iPhone applications has mostly been restricted to using Objective‐C. However, developing applications in plain Objective‐C on the iPhone OS suffers from limitations, such as the need for explicit memory management and lack of syntactic extension mechanism. Moreover, when developing distributed applications in Objective‐C, programmers have to manually deal with distribution concerns, such as service discovery, remote communication, and failure handling. In this paper, we discuss our experience in porting the Scheme programming language to the iPhone OS and how it can be used together with Objective‐C to develop iPhone applications. To support the interaction between Scheme programs and the underlying iPhone APIs, we have implemented a language symbiosis layer that enables programmers to access the iPhone SDK libraries from Scheme. In addition, we have designed high‐level distribution constructs to ease the development of distributed iPhone applications in an event‐driven style. We validate and discuss these constructs with a series of examples, including an iPod controller, a maps application, and a distributed multiplayer Scrabble‐like game. We discuss the lessons learned from this experience for other programming language ports to mobile platforms. Copyright © 2011 John Wiley & Sons, Ltd.     

医药物流企业配送中心802．11n无线应用方案设计

作者在基于无线局域网802．11n（草案2．0）技术的基础上,提出医药物流配送中心服务器与PC机或PDA等移动配送终端无线通信的解决方案,改进配送中心传统网络结构,有效缩短医药物流配送中心的业务流程,提高药品配送效率,促进医药行业更快发展。     

激光—相机系统语义栅格建图和路径规划

目的 SLAM（simultaneous localization and mapping）是移动机器人在未知环境进行探索、感知和导航的关键技术。激光SLAM测量精确，便于机器人导航和路径规划，但缺乏语义信息。而视觉SLAM的图像能提供丰富的语义信息，特征区分度更高，但其构建的地图不能直接用于路径规划和导航。为了实现移动机器人构建语义地图并在地图上进行路径规划，本文提出一种语义栅格建图方法。方法 建立可同步获取激光和语义数据的激光-相机系统，将采集的激光分割数据与目标检测算法获得的物体包围盒进行匹配，得到各物体对应的语义激光分割数据。将连续多帧语义激光分割数据同步融入占据栅格地图。对具有不同语义类别的栅格进行聚类，得到标注物体类别和轮廓的语义栅格地图。此外，针对语义栅格地图发布导航任务，利用路径搜索算法进行路径规划，并对其进行改进。结果 在实验室走廊和办公室分别进行了语义栅格建图的实验，并与原始栅格地图进行了比较。在语义栅格地图的基础上进行了路径规划，并采用了语义赋权算法对易移动物体的路径进行对比。结论 多种环境下的实验表明本文方法能获得与真实环境一致性较高、标注环境中物体类别和轮廓的语义栅格地图，且实验硬件结构简单、成本低、性能良好，适用于智能化机器人的导航和路径规划。     

基于微信小程序的检验查询系统设计与开发

目的:设计与开发基于微信小程序的检验查询系统。方法:通过TP5、mysql、小程序开发者工具实现手机终端检验查询系统的全栈开发。结果:通过微信小程序查询检验报告,用户登陆便捷,绑定简单,查询方便,减少了用户现场取报告的人次数。结论:微信小程序在医疗软件中的应用,可提供高效、稳定的智慧医院服务,提升用户的就医体验。     

网络环境下虚拟机器人——“SoftMan”系统平台总体设计

基于网络环境虚拟机器人的计算模式融合分布式人工智能、并行分布式系统、移动智体和人工生命的技术,是计算机网络时代的一项崭新而关键技术,不仅会实现更灵活的分布式异步计算,而且将把网络计算带入一个全新的智能化时代。这种计算方式在如何充分利用网络资源,如何给移动用户提供高效的服务等诸多问题上提供了新的思路,目前主要研究领域集中在动态信息获取、智能网络、电子商务、主动网络和移动智能通信网络等。本文系统阐述“SoftMan”系统平台的设计方法、开发策略、总体架构和软件实现,同时对其相关支撑技术进行了剖析;最后就“Soft—Man”系统开发的思路和未来研究趋势进行了展望。     

Generic Programming and High-Performance Libraries

Generic programming is an especially attractive paradigm for developing libraries for high-performance computing because it simultaneously emphasizes generality and efficiency. In the generic programming approach, interfaces are based on sets of specified requirements on types, rather than on any particular types, allowing algorithms to inter-operate with any data types meeting the necessary requirements. These sets of requirements, known as concepts, can specify syntactic as well as semantic requirements. Besides providing a powerful means of describing interfaces to maximize software reuse, concepts provide a uniform mechanism for more closely coupling libraries with compilers and for effecting domain-specific library-based compiler extensions. To realize this goal however, programming languages and their associated tools must support concepts as first-class constructs. In this paper we advocate better syntactic and semantic support to make concepts first-class and present results demonstrating the kinds of improvements that are possible with static checking, compiler optimization, and algorithm correctness proofs for generic libraries based on concepts.     

Pervasive healthcare

The US healthcare industry is confronting a number of challenges, including skyrocketing costs, a growing incidence of medical errors, inadequate staffing, and lack of coverage in rural and underserved urban areas. Healthcare workers are under increasing pressure to provide better services to more people using limited financial and human resources. One proposed solution to the current crisis is pervasive healthcare. The widescale deployment of wireless networks will improve communication among patients, physicians, and other healthcare worker, as well as enable the delivery of accurate medical information anytime anywhere, thereby reducing errors and improving access. At the same time, advances in wireless technologies - such as intelligent mobile devices and wearable networks - have made possible a wide range of efficient and powerful medical applications. Pervasive healthcare has the potential to reduce long-term costs and improve quality of service, but it also faces many technical and administrative obstacles.