Enlightenment and Suggestions on the Construction of Information Platform and Processing Mechanism of Drug Shortages in Developed Countries to China

Objective To study how to improve and perfect the information platform and processing mechanism of drug shortages in China.Methods By searching the relevant policies from official websites of FDA,European Medicines Agency(EMA),Health Canada(HC)and National Health Commission,the good experience of the United States,the European Union and Canada in the construction of information platform and processing mechanism of drug shortages was summarized for reference in China.Results and Conclusion China has initially established the processing mechanism of drug shortages,but the platform construction should be improved,and the information disclosure of drug shortages varies from province to province.We should improve the information platform of drug shortages,strengthen the disclosure and communication of information,enrich the processing tools and measures after the drug shortages occurs,and strengthen the cooperation with relevant associations and other non-governmental departments.

Interface Design Of Digital Platform For Bio Signal Processing

Bio-sensor arrays for multi-channel recording have been developed recently and signal processing platforms for those signals have been studied actively.But it’s thereal situation which these technologies are generally developed and studied respectively.So the interface design between recording array and signal processing platform is also an important issue to make bio-sensor signal processing system.In this paper,we proposed interface which has unique protocols to control sensor array and operate platform.There are two types of protocols in the interface.One is between sensor array and MCU in platform and the other is between MCU and board for wireless communication.Basically,each protocol has two kinds of modes(single,frame)and it can be extended if needed.

Research on the Application of Intelligence Teaching Mode of Superstar Platform in the Teaching of Experimental Design and Data Processing

Experimental Design and Data Processing is an important core professional basic course for food science majors.This course is theoretical and practical,and there are many formulas,abstract contents and difficult to understand,and there are some problems in the teaching process,such as students1 poor interest in learning,insufficient mastery of what they have learned,and inability to combine theory with practice organically.Through analyzing the existing problems,this paper puts forward some reform measures for the teaching mode of experimental design and data processing by using the intelligent teaching of Superstar platform.

Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy

The large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at platform. To optimize the process parameters during investment casting to minimize the warping deformation of the platform, based on simulation with Pro CAST, the single factor method, orthogonal test, neural network and genetic algorithm were subsequently used to analyze the influence of pouring temperature, shell mold preheating temperature, furnace temperature and withdrawal velocity on dimensional accuracy of the platform of superalloyDD6 turbine blade. The accuracy of investment casting simulation was verified by measurement of platform at blade casting. The simulation results with the optimal process parameters illustrate that the equivalent warping deformation was dramatically reduced by 21.8% from 0.232295 mm to 0.181698 mm.

Lectotype Optimization of Offshore Platforms by Use of Three-Scale Fuzzy Analytical Hierarchy Process

A Three-Scale Fuzzy Analytical Hierarchy Process (T-FAHP) is proposed by introducing the Three-Scale Analytical Hierarchy Process (T-AHP) and the trapezoid fuzzy number. A multi-objective optimization model based on the T-FAHP is presented subsequently, in which many factors influencing the lectotype of offshore platform are taken into account synthetically, such as the original investment, the maintenance, cost, the ability of resisting fatigue and corrosion, the construction period, the threat to the environment, and so on. With this method, the experts can give the relatively precise ranking weight of each index and at the same time the requirement of consistence checking can be met, The result of a calculation example shows that the T-FAHP is practical.

A new type of Shipboard Meteorological Satellite Receiving-processing System

The Shipboard Meteorological Satellite Receiving-processing System (SMSRPS) is specially developed for the navigation meteorological safeguard of the Antarctic exploration ship over the sea ice area of the forth Ocean. This system can suit to the climate environment of very high temperature high moisture and very low temperature - supersaturation; it has a self-protection ability to against the hurricane - force wind over force 12 and the strong vibration during icebreaking, as well as strong magnetic disturbance. It has two sets of receiving-imagery processing systems for polar orbit low-resolution and quasi-stationary high-solution satellites. The key creation Points of this system are as follows: 1. the active gyro-control stabilization platform and a mixed mounting system of three rotating a - B and x -- y axes are used. It solved the tracing difficulties both in the low elevation angle and very high elevation angle of polar-orbit satellite, even in the status of ship moving with continuously changing its poition, direction and ship roll and pitch. 2. Imagery processing subsystem. The newest BORLAND-- DELPHI language and PASCAL language pro gramming software are used under WINDOWS 95 environment. It has a dynamic positioning nested-grid system and electric mapping grid data system. It can show the latitude-longitude of any point on the map, and marks any object such as ship, station or island, and draws the route. It can monitor cloud and temperature, forest fire, anomalous change of ocean and land. It can output satellite cloud maps of 24 bit with very high clarity. This system is very advanced in technique for the whole structure with the features of small volume, light weight and very low cost. It suits to very bad climate and ocean environment. Its imagery process ing system has complete functions with high resolution and being very easy to operate. It is not only suit to land use, but also and specially to all kinds of ship over the sea. It can be extended to domestic and international use. This system played a very important role in the 14th Chinese Antarctic Exploration Navigation, and was introduced a broad attention paid by Chinese newspapers and TV Stations.

Research on Framework of Digital Process Planning Platform

Digital factory technology is a research focus in academe and industry,which is an advanced manufacturing tech- nology that is proposed to bridge product development and manufacturing.For applying digital factory technology in machining domain,a concept of digital process planning and its framework are suggested,its components including machining domain knowledge model,machining knowledge base,machining resource base and process planning system are studied.The framework of digital process planning is of value for implementing digital factory technology in machining industry.

A CORBA-Based Integration Platform of Product Development Process Management for Concurrent Engineering

Product development process management plays an important role in concurrent engineering (CE). The integration platform is a useful tool for effectively supporting the software development and integration. Based on the analysis of practical requirements for product development process management for CE, a CORBA-based integration platform of product development process management (IP-PDPM) is designed and developed. The design principles for IP-PDPM are described. The system architecture and functions of the platform are given, the key technologies for the implementation of IP-PDPM are presented, the application integration mechanism and its implementation techniques are also detailed.

Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

A small and medium enterprises(SMEs)manufacturing platform aims to perform as a significant revenue to SMEs and vendors by providing scheduling and monitoring capabilities.The optimal job shop scheduling is generated by utilizing the scheduling system of the platform,and a minimum production time,i.e.,makespan decides whether the scheduling is optimal or not.This scheduling result allows manufacturers to achieve high productivity,energy savings,and customer satisfaction.Manufacturing in Industry 4.0 requires dynamic,uncertain,complex production environments,and customer-centered services.This paper proposes a novel method for solving the difficulties of the SMEs manufacturing by applying and implementing the job shop scheduling system on a SMEs manufacturing platform.The primary purpose of the SMEs manufacturing platform is to improve the B2B relationship between manufacturing companies and vendors.The platform also serves qualified and satisfactory production opportunities for buyers and producers by meeting two key factors:early delivery date and fulfillment of processing as many orders as possible.The genetic algorithm(GA)-based scheduling method results indicated that the proposed platform enables SME manufacturers to obtain optimized schedules by solving the job shop scheduling problem(JSSP)by comparing with the real-world data from a textile weaving factory in South Korea.The proposed platform will provide producers with an optimal production schedule,introduce new producers to buyers,and eventually foster relationships and mutual economic interests.

Process-oriented knowledge-sharing platform for chemical engineering design projects

A process-oriented knowledge-sharing platform is studied to improve knowledge sharing and project management of chemical engineering design enterprises. First, problems and characteristics of knowledge sharing in multi-projects of chemical engineering design are analyzed. Then based on theories of project management, process management, and knowledge management, a process-oriented knowledge-sharing platform is proposed. The platform has three characteristics: knowledge is divided into professional knowledge and project management knowledge; knowledge sharing is integrated with the project process, which makes knowledge sharing a necessary part of the project process and ensures the quantity of knowledge shared; the platform provides quantitative measurements of incentive mechanisms for knowledge providers and users which ensures the quality of knowledge shared. This knowledge-sharing platform uses two knowledge management tools, a knowledge map and a knowledge base, to support the platform.

How Does Robotics Process Automation (RPA) Affect Project Management Practices

The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.

新文科背景下基于Blockly的机器学习实验教学平台设计与实现

在新文科建设背景下,针对文科学生编程经验少、机器学习实验上手难的问题,设计并实现一种基于Blockly编程的机器学习实验教学平台。该实验平台由教师管理端、学生实验端、系统管理端和公共模块四部分构成,采用B/S架构,由计算机编程语言Python和可视化编程工具Blockly实现。并以机器学习中的“自然语言处理”为实验教学案例,全面呈现该实验教学平台与实验教学任务结合的具体应用实践。

合成孔径雷达高分辨率成像虚拟仿真实验平台设计

合成孔径雷达(synthetic aperture radar,SAR)系统组成复杂,搭载于飞机、卫星等运动平台上才可实现数据获取,难以开展基于SAR雷达实物的实验教学。为解决此问题,设计并搭建了SAR高分辨率成像虚拟仿真实验平台。该虚拟仿真实验平台将系统设计技术、实验设计技术、数据采集过程、信号处理技术、图像评估技术等SAR实验的完整流程进行了高展示度、高保真度、高交互性的计算机模拟。一方面,该虚拟仿真实验可以帮助学生理解SAR设计、工作和应用的流程,巩固相关课程基础知识,激发学习雷达信号处理知识的兴趣;另一方面,可以考查学生对相关知识的综合应用能力,增强学生解决实际问题的技能。该仿真平台已成功应用于虚拟仿真教学课程实践,教学效果良好,对培养新工科技术型人才具有重要意义。

智能行车记录仪图像去雾系统的FPGA设计

雾霾天气下,交通道路能见度低,导致所采集到的视频画面退化、图像信息模糊,同时考虑传统系统处理实时性不高等问题,基于ZYNQ平台设计了一种图像去雾系统,并应用于智能行车记录仪系统中.首先,针对传统暗通道去雾算法在天空区域存在失真等问题,提出了一种分割天空区域的策略来修正图像复原参数;然后,针对计算全局大气光值时,需对整幅图像的像素排序消耗大量资源的问题,利用现场可编程门阵列(FPGA)并行运算的优势,提出一种帧迭代方法优化求取大气光值,同时优化了引导滤波的硬件设计;最后,将双路高清多媒体接口(HDMI)资源中,一路作为视频输入,另一路作为视频处理输出,搭建实时交通图像视频处理试验平台.试验结果表明,系统针对雾霾天气下的交通视频具有较好的去雾效果,尤其是可以解决天空区域去雾的失真问题.在对分辨率为1280像素×720像素的交通视频去雾时,可以达到30帧/s的处理速度,满足实时性要求.

数字平台生态系统形成的过程机制研究——基于海尔的探索性案例分析

采用探索性单案例研究方法,以海尔数字平台为研究对象,构建了数字平台生态系统形成的过程机制模型。研究表明:企业数字平台在万物互联等因素驱动下,推动了数字平台生态系统形成;数字平台生态系统可分为员工、组织、生态3个子系统;数字平台生态系统形成过程能创造出商业价值、社会价值与生态价值,3类价值相互作用、相互促进;数字技术更迭、商业模式创新等内部支持要素具有重要支撑作用,可提高数字平台生态系统形成效果。

基于Sakai平台的过程考核教学模型与应用

过程考核是科学评价一门课程教学质量的关键,已成为教育领域关注的热点。如何将过程考核科学地渗入到一门课程的教学过程中,对于提升课程教学的学习质量和效率尤为重要。基于Sakai平台,提出过程考核“五力”教学模型,该模型包括作业、测验、讨论、期中、拓展五个考核环节。在课程教学应用中,“五力”模型过程考核教学模式,激发学生课余时间主动学习的兴趣,拓展学生的知识面,提升课程知识点的学习质量,同时有效提高教师过程考核的效率。

地面自动气象站数据流式处理设计与实现

针对观测密度和频次日益增加的海量地面自动气象站数据,在气象大数据云平台(天擎)中设计了基于Storm的实时流式处理,利用大规模并行处理的优势提高地面自动气象站数据的处理时效。在流式处理中,设计处理拓扑直接解码标准格式的数据消息;消息确认采用手工确认的方式,将数据解码组件锚定数据接入组件,实现每条数据的可靠处理;数据解码时进行字节校验和时间检查等,过滤异常数据;应用批量加定时的发送策略,解决海量监控信息发送气象综合业务实时监控系统(天镜)的问题;集群部署时保留部分剩余资源,有效应对单节点异常。应用效果表明:国家气象站小时数据的服务时效由全国综合气象信息共享系统(CIMISS)的175 s提高至天擎的78 s,约6×10^(4)个区域气象站小时数据的服务时效由CIMISS的5 min提高至天警的2 min,实况分析系统将数据源切换至天擎后,相同时间检索可获取的站点数量较CIMISS增加1倍。2021年12月基于Storm的流式处理与天擎一同在国省业务化运行,实现了长期稳定运行,为MICAPS4、SWAN2.0、实况分析系统等用户提供高效稳定的地面自动气象站数据。

海上高压气田无人井口平台集输工艺流程方案比选设计

针对某海上高压气田井口压力高、井口温度低、油品凝点高、节流后易出现水合物和出油管线容易冻堵的问题,结合不同生产井节流后的压力,设置不同压力体系井口加热器以满足流体输送要求。文章研究了两种不同高压气田无人平台工艺流程方案:加热器部分降压设计方案和全部降压设计方案,比较了两种方案的技术特点及经济性,最终推荐高压气田无人井口平台采用加热器部分降压设计的工艺流程方案。

平台型政府:理论溯源、实践探索与创新进路——以上海城市数字治理“两张网”建设为例

伴随着数字化、信息化的深刻发展,平台型政府作为一种新的政府形态在治理过程中发挥着愈加重要的作用。平台型政府的提出根植于丰富的理论基础,呈现出协同性、开放性、互动性和数字化等特点。在结构上,平台型政府由前台、中台和后台构成,分别对应需求的收集回应、供需匹配及信息集成供给等运行流程,以服务型、回应型、整体性、开放型政府为价值导向。上海市政务服务“一网通办”和城市运行“一网统管”是平台型政府建设的生动实践,在理念、结构、流程等诸多方面与平台型政府的运作模式相契合。在实践中,平台型政府建设面临一系列挑战,如供需错配、数字鸿沟、多头考核、部门间协同不畅等,需要进一步探索创新进路,推动理念重塑、体制机制优化、技术创新、结构流程耦合以及工作人员素质和能力的提升。

基于集对分析理论和数字化平台的山岭隧道塌方风险评价

为更准确、更科学地完成山岭隧道塌方风险评价,提出一种基于层次分析法(AHP)-熵值法(Entropy)集对分析理论的山岭隧道塌方风险评价方法。首先,选取地质因素、设计因素、施工因素、管理因素4项因素作为塌方风险评价指标体系的准则层,选取12项因素作为指标层,运用层次分析法和熵值法分别计算2级指标权重;然后,引入集对分析理论确定指标联系度,并结合置信度准则对塌方风险的等级进行判定;接着,利用Grasshopper以及Python软件,对集对分析理论进行可视化程序开发,并将其与隧道-地质BIM交互模型进行耦合,建立基于AHP-Entropy集对分析模型的隧道塌方风险数字化分析平台;最后,结合重庆某隧道实际工程,验证隧道塌方风险评价的高效化、可视化效果。研究表明:基于集对分析理论的山岭隧道塌方风险评价数字化分析平台运行时间约为2 s,与传统的隧道塌方风险评价方法相比可以大大提高风险评价效率,同时利用AHP-Entropy法确定评价指标权重,提高了评价结果的可靠性。