移动目标监控系统软件结构研究

移动目标监控系统集GIS技术、定位技术、通信技术、网络技术等为一体,是近年来研究和应用较为活跃的一个领域。从移动目标监控系统的软件结构入手,对不同类型的移动目标监控系统的技术构成、软件结构、技术特点、适用范围、应用领域等进行的分析和探讨。

移动软件系统在精神专科医院电子病历管理中的应用

目的探讨移动软件系统在精神专科医院电子病历管理中的应用价值,为提高病案管理质量提供参考。方法某院从2019年1月1日开始实施移动软件系统化病案管理,选取实施前2018年1月1日-2018年12月31日1100份传统纸质化病案管理资料以及实施后2019年1月1日-2019年12月31日1100份移动软件系统化病案管理资料,比较实施前后合格病案比例、病案缺陷情况、归档情况、调阅情况。结果实施后精神科病案质量等级优于实施前,Ⅰ级合格病案比例为88.73%高于实施前72.45%;实施后精神科病案病历书写主要缺陷中入院记录、病程记录、书写基本要求、知情同意书、辅助检查、病案首页、出院记录缺陷发生率2.82%、2.36%、3.09%、0.55%、1.73%、3.73%、1.73%低于实施前7.73%、7.278%、18.73%、2.18%、3.27%、17.00%、5.18%;实施后病案3日归档和7日归档率分别为97.27%、99.55%高于实施前70.64%、91.27%;实施后病案调阅平均时间、病案复印或打印平均时间均短于实施前。结论移动软件系统下的电子病案管理提高了精神科病案合格率,减少了病例书写缺陷,提高了病案归档效率。

移动应用平台的发展与研究

当今世界,随着移动互联网、无线技术、操作系统、芯片技术的发展,移动应用平台功能日益强大,已成为人们生活中必不可少的工具,移动应用平台软件的开发,也占到软件行业较大的比例。本文将围绕移动应用平台软、硬件,讨论其发展、商业模式和应用。

移动软件系统在医院电子病历管理中的应用

目的探讨移动软件系统在医院电子病历管理中的应用价值。方法选取2019年1月1日-12月31日实施移动软件系统化病案管理前的1000份传统纸质化的病案管理资料设为对照组,2020年1月1日-12月31日实施移动软件系统化病案管理后的1000份移动软件系统化的病案管理资料设为研究组,比较两组合格病案比例、归档情况、病案缺陷情况及调阅情况。结果研究组合格病案的比例(89.20%)、3日(97.00%)与7日(100.00%)的归档率均高于对照组(72.10%,70.00%,91.00%)(P<0.05);研究组病案调阅的平均时间为(2.01±0.08)min,病案复印的平均时间为(3.49±0.21)min,低于对照组的(10.15±0.92)min、(12.18±0.87)min(P<0.05)。结论移动软件系统的电子病案管理提高了我院病案的合格率及病案归档的效率,缩短了病案调阅及复印的平均时间。

MODEL-BASED PERFORMANCE EVALUATION APPROACH FOR MOBILE AGENT SYSTEMS

Claimed as the next generation programming paradigm, mobile agent technology has attracted extensive interests in recent years. However, up to now, limited research efforts have been devoted to the performance study of mobile agent system and most of these researches focus on agent behavior analysis resulting in that models are hard to apply to mobile agent systems. To bridge the gap, a new performance evaluation model derived from operation mechanisms of mobile agent platforms is proposed. Details are discussed for the design of companion simulation software, which can provide the system performance such as response time of platform to mobile agent. Further investigation is followed on the determination of model parameters. Finally comparison is made between the model-based simulation results and measurement-based real performance of mobile agent systems. The results show that the proposed model and designed software are effective in evaluating performance characteristics of mobile agent systems. The proposed approach can also be considered as the basis of performance analysis for large systems composed of multiple mobile agent platforms.

Mobile Interaction Capturing System in Real Environments

Mobile applications are being used in a great range of fields and application areas. As a result, many research fields have focused on the study and improvement of such devices. The current Smartphones are the best example of the research and the evolution of these technologies. Moreover, the software design and development is progressively more focused on the user; finding and developing new mobile interaction models. In order to do so, knowing what kind of problems the users could have is vital to enhance a bad interaction design. Unfortunately, a good software quality evaluation takes more time than the companies can invest. The contribution revealed in this work is a new approach to quality testing methodology focused on mobile interactions and their context in use where external capturing tools, such as cameras, are suppressed and the evaluation environments are the same as the user will use the application. By this approach, the interactions can be captured without changing the context and consequently, the data will be more accurate, enabling the evaluation of the quality-in-use in real environments.