A New Software for GIS Image Pixel Topographic Fac－tors in Remote Sensing Monitoring of Soil Losses

Based on the new algorithm for GIS image pixel topographic factors in remote sensing monitoring ofsoil losses, a software was developed for microcomputer to carry out computation at a medium river basin(county). This paper lays its emphasis on algorithmic skills and programming techniques as well as applicationof the software.

Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application

Software projects influenced by many human factors generate various risks. In order to develop highly quality software, it is important to respond to these risks reasonably and promptly. In addition, it is not easy for project managers to deal with these risks completely. Therefore, it is essential to manage the process quality by promoting activities of process monitoring and design quality assessment. In this paper, we discuss statistical data analysis for actual project management activities in process monitoring and design quality assessment, and analyze the effects for these software process improvement quantitatively by applying the methods of multivariate analysis. Then, we show how process factors affect the management measures of QCD (Quality, Cost, Delivery) by applying the multiple regression analyses to observed process monitoring data. Further, we quantitatively evaluate the effect by performing design quality assessment based on the principal component analysis and the factor analysis. As a result of analysis, we show that the design quality assessment activities are so effective for software process improvement. Further, based on the result of quantitative project assessment, we discuss the usefulness of process monitoring progress assessment by using a software reliability growth model. This result may enable us to give a useful quantitative measure of product release determination.

Comparison of Measured Trough Values after Deriving the Initial Dose Setting of Vancomycin with a Conventional Computer Software and a Nomogram Based on the Revised Japanese 2016 Therapeutic Drug Monitoring Guidelines for Antimicrobial Agents

Background: Due to the relatively high renal toxicity of vancomycin injection (VCM), setting an initial dose that achieves a trough that ranges between 10 and 20 μg/mL on day 3 is important to ensure safety and minimize side-effects, especially for patients with low renal function. To address these issues, the revised 2016 Therapeutic Drug Monitoring (TDM) Guidelines for Antimicrobial Agents (GL2016) proposed the use of a renal function-based, estimate glomerular filtration rate (eGFR) nomogram for setting the dose of VCM in Japan. Methods: Our hospital introduced the use of the GL2016 in September 2016 for the patients administered VCM. After setting the initial VCM dose using 1) a conventional VCM analysis software and 2) the GL2016 eGFR nomogram, the measured trough values on day 3 were compared and evaluated in this study. Results: With the VCM analysis software, the mean measured trough value in the a-total group (n = 53) was 12.8 ± 4.7 μg/mL. With the eGFR nomogram, the mean measured trough value in the b-total group (n = 13) was 9.6 ± 4.6 μg/mL. However, when the different severities of renal function were compared, the mean measured trough value was more significantly lower in the b-1 group than in the a-1 group among subjects with G2 and above (eGFR ≥ 60 mL/min/1.73 m2), but it was similar between the a-2 group and the b-2 group among subjects with G3 and below (eGFR 60 mL/min/1.73 m2). The proportion of subjects reaching the various trough ranges shows similar tendency. Conclusions: These data suggested that the measured trough value on day 3 was generally lower when the initial dose was established using the eGFR nomogram based on the GL2016, and this was especially prominent among patients with normal renal function. As for subjects with low renal function, the trough values were relatively high while ensuring safety.

Communications in Industrial Monitor Software

Almost all industrial monitor software utilizes network communication. This paper mainly describes how the industrial monitor application selects the communication method. It also details some implementing techniques.

Atrocious Impinging of COVID-19 Pandemic on Software Development Industries

COVID-19 is the contagious disease transmitted by Coronavirus.The majority of people diagnosed with COVID-19 may suffer from moderate-tosevere respiratory illnesses and stabilize without preferential treatment.Those who are most likely to experience significant infections include the elderly as well as people with a history of significant medical issues including heart disease,diabetes,or chronic breathing problems.The novel Coronavirus has affected not only the physical and mental health of the people but also had adverse impact on their emotional well-being.For months on end now,due to constant monitoring and containment measures to combat COVID-19,people have been forced to live in isolation and maintain the norms of social distancing with no community interactions.Social ties,experiences,and partnerships are not only integral part of work life but also form the basis of human evolvement.However,COVID-19 brought all such communication to a grinding halt.Digital interactions have failed to support the fervor that one enjoys in face-to-face meets.The COVID-19 disease outbreak has triggered dramatic changes in many sectors,and the main among them is the software industry.This paper aims at assessing COVID-19’s impact on Software Industries.The impact of the COVID-19 disease outbreak has been measured on the basis of some predefined criteria for the demand of different software applications in the software industry.For the stated analysis,we used an approach that involves the application of the integrated Fuzzy ANP and TOPSIS strategies for the assessment of the impact of COVID-19 on the software industry.Findings of this research study indicate that Government administration based software applications were severely affected,and these applications have been the major apprehensions in the wake of the pandemic’s outbreak.Undoubtedly,COVID-19 has had a considerable impact on software industry,yet the damage is not irretrievable and the world’s societies can emerge out of this setback through concerted efforts in all facets of life.

AONS Ⅱ： Continuing Preservation Software the Trend Towards ＇Nirvana＇

File format obsolescence is a major risk factor threatening the sustainability of and access to digital information. While the preservation community has become increasingly interested in tools for migration and transformation of file formats, the National Library of Australia is developing mechanisms specifically focused on monitoring and assessing the risks of file format obsolescence. This paper reports on the AONS II project, undertaken by the National Library of Australia (NLA) in conjunction with the Australian Partnership for Sustainable Repositories (APSR). The project aimed to develop a software tool which allows users to automatically monitor the status of file formats in their repositories, make risk assessments based on a core set of obsolescence risk questions, and receive notifications when file format risks change or other related events occur. This paper calls for the preservation community to develop a co-operating file format obsolescence community which includes registries, software tool creators and end users to effectively curate digital content in order to maintain long-term access.

Remote Monitoring System of Ship Running State under Wireless Network

In order to improve the stability and safety of ship operation, real-time monitoring to running state of the ship, a ship remote monitoring system, the running state of the design of wireless network system, including ship running state feature acquisition module, AD conversion module, bus transmission module, wireless network communication module, integrated control module and human-computer interaction module, ship communication network uses remote satellite communications and wireless sensor networking technology, SIP session initiation protocol H. 23 protocol based on IETF and wireless network communication for ship design. To focus on the implementation of the multi thread control method for ship running state monitoring instruction, monitoring system application development and integration in cross compiler GCC compiler environment, design software platform monitoring system using heterogeneous and hierarchical middleware technology, network access services and real-time monitoring service ship monitoring system, the system test results show that the designed remote monitoring system of ship running state can monitor the running state characteristics of ship in real time, and the system has good adaptability and reliability.

The Use of 'In Process' Monitoring Equipment in Heat Treatment Today

This paper looks at how in-process temperature monitoring systems are being increasingly used in heat treatment applications such as surface hardening, annealing, normalizing, tempering etc. We look at the basic equipment required to successfully monitor from within a furnace and how developments such as RF transmission have enhanced the effectiveness of profiling trials to the point where on line adjustments to furnace conditions can be seen and analyzed in real time. We examine how continuous processes can benefit from this type of monitoring and also how routine operations such as furnace surveying in batch furnaces can benefit greatly from in-process monitoring. Advances in software are also considered, showing how packages are now designed to speed up the processing of data in day to day heat treatment operations.

无人船载监控系统的设计与开发

为了满足无人船实时通信和远程操控需要,综合利用计算机、传感器及无线通信等技术,设计一种无人船载监控系统,实现了对无人船的实时监测、控制与实时通信。设计一种双驱动独立控制方案,实现了无人船遥控器控制与计算机控制的相互分离,可提高无人船运行操控的安全性与可靠性。提出采用插件式软件架构,将易变动的功能模块以插件的方式动态加载至系统框架中,加快了开发速度,降低了系统的耦合程度,提高了系统的可扩展性,并利用插件动态加载与卸载方法,实现了插件功能的动态加载与在线升级,提高了系统应对任务多样化的能力。

软件安全技术在大面积农业监测系统中的应用

基于软件安全加密技术,设计了一种用于大面积种植过程中的农田信息监测系统,并采用传感器技术进行相关环境参数采集,经无线通信协议进行信息数据传输。试验验证结果表明:农业信息监测系统运行过程稳定,能够精确进行农田环境参数的采集和信息反馈,为农田种植过程相关设备的远程控制奠定了基础。

铁路客站屋盖结构传感器优化布置关键技术及软件开发研究

合理的传感器布设是站房结构健康监测的前提,也是响应信息精准采集的关键。针对既有传感器应变测点位置模糊、布设方法缺失等问题,以规范条文及模型分析结果为依据,基于Python语言编译并开发了铁路客站屋盖传感器优化布置程序。该程序旨在通过自定义限值筛选及智能优化算法,辅助工程人员更加高效地实现动、静态传感器的筛选及优化布置,避免传感器布置冗余造成的信号干扰及成本浪费,最大程度提高结构响应的覆盖率和灵敏度。研究结果表明:(1)该程序可直观显示需要应变监测的杆件,并清晰展示测点沿杆件方向的位置及其在构件截面的具体坐标,解决传统布设方式应变监测点模糊的问题;(2)基于粒子群优化算法及最小模态置信准则原理的加速度传感器布设方式,提高了测点布置的合理性和科学性,弥补了以经验为主导的传感器布置方法的不足;(3)该程序操作界面简单,在满足工程人员对监测点布设方案制定需求的基础上,提高了传感器筛选优化的效率。

空间视觉测量相机地面检测及显示系统

为了给空间视觉测量相机的研制提供测试环境,充分测试空间视觉测量相机的功能及性能,基于相机的工作特点和实际测试需求,设计了空间视觉测量相机的地面检测及显示系统。地面检测及显示系统由一台高性能计算机、一台图像接收设备、图像显示软件和通信软件组成,适用于空间视觉测量相机单机、环境试验等多种情况测试。通信软件采取分布式设计,分为1个中心服务器软件、4个客户端软件;软件采用MFC架构,多线程方式运行,软件间采取TCP/IP协议进行通信。其中中心服务器软件负责与相机之间进行通信,通信协议为RS422;4个客户端软件分别实现对相机的指令控制、遥测数据的显示及监测、自动运行及在轨更新功能验证。经过多次单机测试及超过400 h的环境试验测试,空间视觉测量相机地面检测及显示系统运行稳定,对相机的各项功能及性能均能实现测试覆盖,能够满足相机研制过程中的各项测试及试验需求,提高了相机研制的测试效率。

基于LabWindows/CVI的在线密度计标准装置监控软件设计

在线振动管液体密度计检定规程指出,在线密度计标准装置是由被检密度计、标准密度计、温度计和液体介质控制单元组成,并要求检定过程中液体温度稳定性应达到±0.05℃。针对检定过程中液体温度的准确性、稳定性要求,基于LabWindows/CVI平台完成在线密度计标准装置的监控软件设计。通过串行通信协议实现了信号采集与数据显示、执行机构的控制功能,同时基于MySQL数据库实现了用户登录管理以及数据记录与证书生成等功能。测试结果表明,监控软件人机交互界面易于操作,可靠性好,可满足在线密度计的检定需求。

基于在线监测的核电厂主管道评定技术及软件开发

研究了基于运行参数在线监测的主管道断裂评定方法,建立了由热电势测试材料冲击功、裂纹撕裂断裂韧度预测和在线含缺陷管道断裂评定的成套技术方案,开发了专用的主管道断裂评定软件,并验证了某工况下使用该软件的计算结果与原设计要求偏差小于3%。

微服务架构的一体化性能监控SaaS云设计与实现

以往独立、分散式的软硬件监控管理方式已经难以适应实时测控数据处理对设备的可靠性需求。基于微服务(Microservice)体系架构,依托云平台设计并实现一体化性能监控系统,通过云平台提供的SaaS(Software as a Service)云服务Web接口可以透明地对中心的各类设备、服务进行分类管理,实现监控数据收集分析和故障自动识别报警等功能。实验表明,基于微服务架构的一体化性能监控SaaS云服务对被监控设备或服务的性能损耗和资源占用少、数据获取和推送速度快、异常事件触发精准、处理闭环,能够较好地满足实时测控中心对设备和服务的监控需求。

软件定义云边协同架构下的水下监测新机制

传统基于硬件的水声传感器网络(underwater acoustic sensor networks,UASNs)架构灵活性及可控性较差,难以满足水下多样化监测任务的需求。针对此问题,提出基于边缘计算的水下软件定义监测网络架构,并提出一种多级协同水下监测机制。该架构通过主从控制器将集中式云处理任务部署至边缘端,并对网络进行分级控制。该机制首先通过低轨遥感卫星进行大范围海洋监测,其次进行小范围监测,数据经原位处理及边缘处理后上传至水面进行分析,最后进行水下联合监测。仿真结果表明,所提出的监测架构和监测机制可降低异常数据处理时间成本和网络开销,在不同场景下的端到端延迟、网络能耗和包投递率方面都有良好的表现,提高了监测架构的灵活性。

基于PKS系统的造纸工业生产计算机监控系统设计

造纸生产过程呈现出连续性特点,然而涉及到的生产装置则较为多元,再加上独特的工艺,使得这些装置在分布方面呈现出较高的分散性。为此,对制浆造纸生产过程加以统一管控就显得极为必要,降低生产成本和精准控制是必然趋势。如何使得生产过程有着更高的安全性,并能实时准确监控现场,就变得颇为关键。立足于造纸工艺,综合通信、自动化技术、PKS系统(霍尼韦尔公司开发)等技术,完成以PKS系统为基础的监控系统开发与实现。

基于GINav的GNSS RTK/INS组合桥梁变形监测软件设计与实现

大型桥梁监测中,受桥梁吊索、桥塔、围栏遮挡,以及过往车辆反射等环境因素的影响,GNSS定位精度和可靠性严重受限。惯性导航系统(INS)技术在初始对准后完全处于自主状态,可消除外界环境的影响。通过组合GNSS和INS技术,可有效提高GNSS的抗干扰能力和定位精度。为此,本文面向桥梁变形监测要求和应用特点,基于组合导航开源软件GINav,设计并实现了具有监测站点可视化、原始数据自动匹配、IMU降采样、GNSS RTK/INS组合解算、结果分析与评估等功能的GNSS RTK/INS的桥梁变形监测软件。振动台模拟桥梁振动试验结果表明,与GNSS RTK技术相比,GNSS RTK/INS组合精度有明显提升,中误差可达到变形监测允许变形值的1/20,可满足桥梁变形监测的精度要求。

智能5G通信系统的软件优化与性能监控

全面探讨智能5G通信系统软件优化与性能监控的相关技术。深入讨论软件定义网络和网络功能虚拟化在5G中的应用,分析智能5G通信系统中的软件优化策略,包括降低延迟、提高吞吐量和资源管理策略。重点论述5G通信系统性能监控的重要性,探讨通信系统性能指标分析、数据收集方法及实时监控机制。指出当前研究中的技术挑战与创新机遇,特别是人工智能和机器学习在5G优化和监控中的应用,为智能5G系统的未来发展提供了参考建议。