Image processing based three-dimensional model reconstruction for cross-platform numerical simulation

Numerical simulation is the most powerful computational and analysis tool for a large variety of engineering and physical problems.For a complex problem relating to multi-field,multi-process and multi-scale,different computing tools have to be developed so as to solve particular fields at different scales and for different processes.Therefore,the integration of different types of software is inevitable.However,it is difficult to perform the transfer of the meshes and simulated results among software packages because of the lack of shared data formats or encrypted data formats.An image processing based method for three-dimensional model reconstruction for numerical simulation was proposed,which presents a solution to the integration problem by a series of slice or projection images obtained by the post-processing modules of the numerical simulation software.By means of mapping image pixels to meshes of either finite difference or finite element models,the geometry contour can be extracted to export the stereolithography model.The values of results,represented by color,can be deduced and assigned to the meshes.All the models with data can be directly or indirectly integrated into other software as a continued or new numerical simulation.The three-dimensional reconstruction method has been validated in numerical simulation of castings and case studies were provided in this study.

The Design and Implementation of Qt-based Cross-platform Video Conferencing Remote Control

In order to overcome the defects of the dedicated video conference remote control, this paper designs and implements a Qt-based cross-platform video conferencing remote control. The remote control not only implements a full range of video conferencing control functions with an easy-to-use visual interface;but also implement cross-platform feature to allow users to use remote control software on their own equipment. It is economic, convenient and stylish for users. This paper mainly describes the design and implementation of remote control system framework and cross-platform features. Finally, the result in the paper shows: This remote control is reliable and easy to use.

A mobile application framework of the BIM-based facility management system under the cross-platform structure

The building information model/modeling （BIM） technology is currently applied in a broad range of applications and research for facility management, while the BIM-based mobile FM is difficult owing to various factors and environments. For example, the mobile applications usually require frequent cross-equipment compatibility. This paper proposes a reasonable BIM-based FM cross-platform framework and develops a mobile application on the basis of an existing BIM-based FM system. The developed mobile application is applied in a case study of a metro station project in Guangzhou to verify its effectiveness in FM practice. It helps maintenance staff in viewing BIMs, accessing related information, and updating maintenance records in a unique platform. The test results demonstrate that the proposed BIM-based cross-platform framework meet the FM application requirements and supports the extension of FM functions.

A Scalable Method for Cross-Platform Merging of SNP Array Datasets

Single nucleotide polymorphism (SNP) array is a recently developed biotechnology that is extensively used in the study of cancer genomes. The various available platforms make cross-study validations/comparisons difficult. Meanwhile, sample sizes of the studies are fast increasing, which poses a heavy computational burden to even the fastest PC.Here, we describe a novel method that can generate a platform-independent dataset given SNP arrays from multiple platforms. It extracts the common probesets from individual platforms, and performs cross-platform normalizations and summari-zations based on these probesets. Since different platforms may have different numbers of probes per probeset (PPP), the above steps produce preprocessed signals with different noise levels for the platforms. To handle this problem, we adopt a platform-dependent smoothing strategy, and produce a preprocessed dataset that demonstrates uniform noise levels for individual samples.To increase the scalability of the method to a large number of samples, we devised an algorithm that split the samples into multiple tasks, and probesets into multiple segments before submitting to a parallel computing facility. This scheme results in a drastically reduced computation time and increased ability to process ultra-large sample sizes and arrays.

The Technical Design and Implementation of Cross-Platform Industrial Product Order System

According to some data in the Industrial Purchasing Trends report released by China in 2017,we can see that e-commerce purchasing channels have ranked first among all industrial products purchasing channels in China compared with European and American countries.In addition,in the whole industrial product purchasing market,we can also see that both manufacturers and suppliers are making active e-commerce transformation,and some other Internet giants are also actively entering the industrial product e-commerce industry.But at present,the revenue of all kinds of subjects is still a lot of room for improvement compared to the United States industrial giants.Although the domestic e-commerce market of industrial products has a variety of problems,also contains huge opportunities and development space.Today mobile Internet technology is becoming more and more popular.It is particularly important to develop a cross-platform industrial product order system that supports the collaborative work and unified experience of Android,iOS,and Web.This system uses a uni-app framework to develop front-end applications,which can realize an order management system with code running across multiple platforms.The back end is built based on LNMP architecture.Linux is the most popular free operating system.Nginx is a free and efficient web server with good stable performance,rich functions,simple operation and maintenance,fast processing of static files,and minimal system resource consumption.MySQL database is one of the most widely used relational databases in Web application data processing.The server side is written by PHP script under ThinkPHP framework,which is quick,open-source,and cross-platform in system construction.And these four kinds of software are free,open-source software,together,they can become a free,efficient,highly extensible website service system.

GeoPyTool:A cross-platform software solution for common geological calculations and plots

GeoPyTool is an open source application developed for geological calculations and plots,such as geochemical classification,parameter calculation,basic statistical analysis and diagrams for structural geology.More than acting as a link from raw data stored in Microsoft Excel■(MS Excel)files to vector graphic files,GeoPyTool includes recently developed routines that have not been included in previous software,such as the calculation of the Ce(Ⅳ)/Ce(Ⅲ)ratio for zircons as a method to examine the temporal evolution of oxygen fugacity in the magmatic source for igneous rocks,and the temperature calculator with titanium in zircon and zirconium in rutile.Besides these routines,GeoPyTool also allows users to load any figure from articles or books as a base map.As a Python-based crossplatform program,GeoPyTool works on Windows?,MacOS X?and GNU/Linux.GeoPyTool can do the whole process from data to results without the dependence of Microsoft Excel?,CorelDraw?and other similar software.It takes Excel?XLSX and CSV(Comma Separated Value)as the formats of both the input data source files and the output calculation results files.The figures generated by GeoPyTool can be saved as portable network graphics(PNG),scalable vector graphics(SVG)or portable document format(PDF).Another highlight of GeoPyTool is the multilingual support,the official versio n of GeoPyTool supports both Chinese and English,and additional languages can be loaded through interface files.GeoPyTool is still in the development stage and will be expanded with further geochemical and structural geology routines.As an open source project,all source code of GeoPyTool are accessible on Github(https://github.com/GeoPyTool/GeoPyTool).Users with Python experience can join in the development team and build more complex functions expanding the capabilities of GeoPyTool.

联动共创:情境差异下基于播客的跨平台知识交流研究

[研究目的]聚焦情境差异下基于播客的用户跨平台知识交流行为,对其行为规律和特征进行分析,揭示此过程所呈现的跨平台知识共创模式及效果,有助于完善网络平台知识共创机制,为平台及用户提供实践指导。[研究方法]以1 169档播客为研究对象,分别获取垂直类平台150 497条和综合类平台7 494条知识交流数据,并实现跨平台用户对齐,从跨平台用户特征、知识交流主题、情感倾向等方面开展跨平台知识交流前后的比较分析。[研究结论]垂直类播客平台与综合类平台基于跨平台用户实现联动,产生了行为复杂度和内容创新度不同的五类跨平台知识共创模式,提升了播客的知识价值和正向传播效应;跨平台知识共创效果与平台情境差异关联密切,亦存在用户类型差异的影响,其中高影响力生产者用户在跨平台过程中表现出更高的创新性、正向情感倾向性以及跨平台身份表征相似性。

知识交流生态视角下的用户跨平台知识交流行为偏好研究

[目的/意义]从知识交流生态视角出发,探究基于视频资源的用户跨平台知识交流行为偏好规律,为用户利用多平台开展交互、实现高价值知识交流提供有效指导。[方法/过程]通过对齐在B站和微博上进行跨平台知识交流的用户,并获取他们在两个平台发布的全量视频内容7215条和同质化视频的330367条评论文本,基于知识生态系统框架,分别针对知识生产者和知识分解者进行内容发布和评论互动等跨平台知识交流偏好的探究。[结果/结论]知识生产者会在不同平台规律性地发布同质化视频以获得知识消费者更好的互动反馈,且根据平台定位和平台功能差异进行标题差异化展示;跨平台知识交流中,知识分解者的评论互动偏好与平台特性相关。[局限]仅选择B站和微博中高影响力知识生产者群体进行研究,后续研究中可对更为多元的知识交流平台以及更丰富的大众知识生产者行为规律进行拓展分析。

基于fsQCA的事件信息跨平台传播效果影响因素研究

[目的/意义]当前,网络媒体已经成为信息传播的主要渠道。探究事件信息跨平台传播的影响因素对于增强信息传播效果具有重要意义。[方法/过程]文章基于多案例研究提炼出一般性事件的信息跨平台传播模式,旨在为信息发布者优化传播策略、有效应对网络舆情提供理论参考。结合场域理论和假设性新闻图式结构提出事件信息场域,基于注意力分配理论、两级传播理论等构建事件信息跨平台传播影响因素框架,并运用fsQCA方法对30个案例在高覆盖平台数、低覆盖平台数、高传播热度和低传播热度4个结果下的条件组态进行了分析。[结果/结论]发现环境热度是事件信息跨平台传播的关键驱动因素,意见领袖在拓宽传播广度和提高传播热度中发挥重要作用,较少的情节反转有助于控制事件信息跨平台传播效果。非环境热度(反向测量)和非情节反转是低覆盖平台数和低传播热度的必要条件。对于正面事件的信息传播可从避开重大热点事件、营造复杂情节设置、细化传播策略等方面加以改善,对于负面事件可从提高环境热度、实施缓和的情感动员策略、及时回应避免谣言等方面进行干预,避免造成舆情和不良社会影响。

融合跨平台用户偏好与异质信息网络的推荐算法研究

[目的/意义]本文基于跨平台用户的异构大数据,提出一种融合跨平台用户偏好与异质信息网络的推荐算法(CPHAR),对于缓解个性化推荐的稀疏性和冷启动问题具有重要意义。[方法/过程]首先,根据跨平台用户信息构建核心兴趣朋友圈,使用卷积神经网络和自注意力机制捕捉用户在源平台和目标平台中的信息偏好特征;其次,根据核心兴趣网络以及推荐项目之间的关系构建异质信息网络,使用异质图注意力网络模型进行特征聚合;最后,将以上特征嵌入改进后的矩阵分解模型,计算推荐得分。[结果/结论]模型在自主构建的4个跨平台数据集中均表现出优越的性能,本文不仅弥补了推荐领域中跨平台多属性和细粒度数据集的空缺,而且通过引入跨平台特征进一步完善了推荐系统相关的理论与方法体系。

多学科融合背景下综合开放创新化学实验教学体系及平台建设与实践

基于“四新学科”建设需求,根据山东大学多学科特色,基于化学与各学科交叉融合发展趋势,化学实验教学中心构建了多学科融合的综合开放创新化学实验教学体系,并重构中心管理框架,在实验室建设和管理、实验技术队伍建设等方面进行探索,取得了良好的效果。

产能分享平台企业的盈利模式选择与定价研究

在分享经济背景下,考虑交叉网络外部性效用及平台匹配率,研究产能分享平台的盈利模式选择与定价问题。基于两阶段博弈方法,分析并比较了平台在利润最大化和社会福利最大化条件下选择服务费模式与注册费模式时获得的最大利润。研究发现,在目标时间段内,当平台以利润最大化为目标时,多数情况下选择注册费模式获得的最大利润高于选择服务费模式获得的利润。在特定条件下,也存在平台采取两种盈利模式会获得相同利润的情况。此外,平台最大利润在一定条件下与交叉网络外部性系数和平台对制造能力供应方的匹配率正相关,与对制造能力需求方的匹配率负相关。当平台以社会福利最大化为目标时,选择服务费模式获得的利润高于选择注册费模式时的利润。最后,通过数值算例对上述结果进行了验证。

我国跨境电商服务行业发展趋势研究

近年来,跨境电商服务行业受到了广泛关注。新时期,企业成本结构发生了较大变化、行业合规化趋势愈演愈烈,供需关系也发生了深刻变革。跨境服务商通过跨地区、多平台的形式不断拓宽业务范围,提升服务价值内涵,巩固自身竞争地位。此外,当前TikTok平台的流行和语言障碍的破除为跨境服务商提供了新的发展机遇。相关服务商依托专业资源为跨境卖家创造和传递价值,探索跨境电商共赢模式。同时,服务商还通过创新的技术和服务,为卖家提供更高效、更便捷的服务,帮助卖家降低成本、提高效率。综上,服务商在跨境电子商务领域中扮演着越来越重要的角色,为卖家提供了更多的机会和更好的服务。

随动辊压型低应力精密断料教学实验平台开发

为了增强学生对先进成形装备及低应力精密断料技术的理解,开发了随动辊压型低应力精密断料教学实验平台。该实验平台综合利用机械设计、传感器技术及计算机控制技术,将应力集中效应和随动辊压技术引入管料的精密分离断料工序中,设计了管料断面质量评价方法,对带有V型槽的45#钢及304不锈钢管料进行了裂纹可控式低应力精密下料实验,验证了断料效果。该实验平台不仅使低应力断料过程更加直观,还提升了学生对低应力精密成形技术的认识,增强了学生对“机械制造工程基础”“切削原理与刀具”及“先进制造技术”等课程的学习兴趣。

关联—顺应模式下跨境电商平台会话模糊语分析

跨境电商平台沟通的有效性和交易的转化量,很大程度上依赖于平台会话质量。提升平台会话质量不仅要关注语言的准确性,模糊语的正确使用同样不容忽视,其在平台会话中无处不在。对此,以关联-顺应模式的视角,结合会话实例,从语境顺应的三个维度,即物理世界、社交世界和心理世界分析平台会话模糊语的成因及其语用功能,以期为跨境电商学习者提供参考和借鉴。

产业互联网时代企业跨组织动态能力的构念与测量

以平台为本质的平台型企业将成为未来企业的主流,而产业互联网的蓬勃发展为新型平台企业的成长提供了助推剂。与传统企业技术开发平台和消费互联网平台(如淘宝、京东)相比,产业互联网平台企业需要跨组织边界的能力,以便在快速变化的环境中推动多元异质主体实现交互赋能和价值共创。针对经典动态能力在解释产业互联网平台企业相关实践方面的不足,以及经典动态能力理论演进的趋势,结合产业互联网的时代特征,提出并阐释了企业跨组织动态能力的概念,明确了企业跨组织动态能力的结构维度,开发出一个包含16个题项的测量量表。以符合条件的89份中国产业互联网平台企业样本数据进行实证检验,结果证实该量表具备良好的信度和效度。该研究旨在为产业互联网平台化场景下企业跨组织动态能力相关的实证研究奠定构念基础。

服装跨境电子商务平台型企业供应链运营比较研究——以SHEIN与ASOS为例

供应链运营对服装跨境电子商务企业的发展十分重要。通过分析当前国内外代表性服装跨境电子商务企业的供应链运营现状,从供应链结构、供应链决策、产品组合、快速反应、供应链合作、数字化技术方面分析平台型服装企业供应链运营特点,进而以我国SHEIN和英国ASOS的供应链运营模式为例,应用供应链运营参考模型(SCOR)对其计划、采购、生产、配送和退货等环节进行分析,并结合平台型服装企业供应链运营特点对二者进行比较研究。最后从企业发展定位和目标、品牌一致性和质量控制、企业核心竞争力、供应链伙伴关系、数字化技术的运用等五个方面,为服装跨境电子商务企业的供应链运营与管理提供启示。

基于改进差分进化算法的跨平台武器目标分配方法

现代战争中,跨平台武器单元的协同利用,是合同编队体系的重要内容,作战方式也正由平台级协同向着能力要素级协同转变,这对武器目标分配问题的解决提出了更大挑战。本文将武器单元的最小划分单位细化到能力要素级,以毁伤概率与成本消耗为优化目标,面向多种来袭目标的编队防空场景,提出了跨平台武器目标分配算法。同时,基于混沌映射提出了混沌种群重构(chaotic population reconstruction,CPR)机制,并结合带存档的自适应差分进化(adaptive differential evolution with optional external archive,JADE)算法提出了CPR-JADE算法,利用CPR机制可以帮助算法在解决高维复杂约束问题时跳出局部最优。再将其运用到武器目标分配模型上,实现了对模型的高效求解。最后,通过在多种数据规模下与其他进化优化算法的仿真对比试验分析,验证了所提方法的正确性与有效性。

“搭台共治”式环境跨域治理:新安江生态补偿协作网络演化研究

建立横向生态补偿机制、促进区域协调发展是当前环境工作的战略目标。运用社会网络分析方法,对新安江生态补偿试点自2012年至今的各行动主体合作网络进行整体特征、个体节点和聚类结构的分析,发现新安江生态补偿治理中各级政府扮演差异化的角色,表现出平台治理的特性:通过系统化机制构建而非对参与者的直接约束实现治理,通过结构性混合来实现不同主体的松散联结,平台参与者具有明显异质性,平台处于持续的演化中。新安江生态补偿试点治理过程说明我国已经产生了环境治理领域的平台治理实践,并回应了“协作平台”这一治理理论最新方向。

跨区域重症远程协同服务平台设计与应用

目的:建设跨区域重症远程协同服务平台,推动优质医疗资源下沉与均衡分布,探索专科医联体建设新路径。方法:依托5G技术、KVM等技术建设跨区域重症远程协同服务平台。结果:四川大学华西医院重症医学学科与信息中心,联合第三方医学信息服务商共同建设华西医院重症医学学科联盟远程重症协同系统,破解医疗信息跨院安全传输障碍,开发远程监护、远程会诊、远程实操、远程教育、远程质控5大功能模组,服务13省140家成员单位,提供会诊查房约250例/年,教学直播约200场/年。结论:现有通信相关技术可以成功建设跨区域重症远程协同服务平台,保障患者数据安全,提高远程协同效率,实现医疗资源、教学资源共享。