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.

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。

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。

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。

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。

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。

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。

复杂受荷下盾构隧道原型结构试验平台的研发与实证

盾构隧道结构在全寿命周期中往往将面临诸多复杂荷载状态,如注浆、偏载、偏转等非对称偏不利工况。为验证结构在这些复杂荷载状态下的适用性,探究结构力学性能,开展足尺原型结构试验研究往往是最为直接而有效的手段。既有原型试验主要关注隧道结构在简单对称荷载条件下的力学性能,鲜有关注复杂非对称荷载状态。为拓展原型试验的适用范围,提出了适用于不同断面盾构隧道结构的原型试验平台和用于模拟复杂荷载状态的试验荷载设计方法。该方法适用于任意加载点布置和液压站分组的试验系统,可对注浆、偏载、偏转等复杂荷载状态下结构响应进行精确模拟。通过类矩形盾构隧道、双圆隧道和圆形隧道的偏载原型结构试验研究,验证了试验平台和试验荷载设计方法的适用性。进一步针对试验关键参数的分析表明,控制目标权重系数的调整能有效满足不同的试验模拟要求;基于试验荷载设计方法优化的迭代算法能有效考虑计算模型或边界支承条件的非线性;环箍钢绞线和千斤顶的组合加载模式能将拟合误差水平降低至千斤顶加载模式的1/5,但需要删去部分加载点使试验荷载合理且适用;对于越复杂的结构和荷载,精确模拟结构状态需要的试验系统独立荷载组数越高,对试验平台的要求也越高。

面向跨平台可复用组件的交叉编译工具设计与实现

伴随着软件三化(通用化、系列化、组合化)的发展,军用领域软件跨平台可复用已成为一种趋势。针对这一趋势,文章设计并实现一种面向跨平台可复用组件的一体化交叉编译工具。首先介绍了基于组件框架的组件跨平台技术,其次从工具链管理、项目向导、并行构建管理等方面进行了交叉编译工具的设计,最后通过实现的编译工具同时编译出龙芯锐华、DSP锐华和ARM麒麟等多个目标平台的组件目标文件。实验结果表明,该交叉编译工具可支持组件的跨平台复用,提升了软件的复用性和可移植性,具有重要的理论和现实意义。

用户生成内容对消费者跨境电商平台行为意向的影响

摸清用户生成内容的内涵及其对消费者行为意向产生的影响机制,有利于跨境电商平台实施精准的营销策略。通过问卷调查收集数据,基于TAM模型理论实证分析用户生成内容对消费者跨境电商平台行为意向的影响情况。结果显示,用户生成内容的发布者和时效性对消费者跨境电商平台行为意向产生显著正向影响;用户生成内容的专业性对消费者在跨境电商平台上的购买意愿产生显著正向影响;用户生成内容的关注度对跨境电商平台的推荐意愿产生显著正向影响;文字评论类内容对消费者跨境电商平台购买意愿的影响明显小于社交分享类内容产生的影响;同时,高中及以下学历的消费者在跨境电商平台上的行为意向明显低于研究生学历的消费者。因此,为了增强消费者对跨境电商平台的行为意向,作为跨境电商平台,首先,需要充分发挥知名发布者对平台正面宣传与推介的头雁效应,鼓励广大用户适时更新在线内容;其次,善于打造具有专业水准的在线内容,提高在线内容的阅读量和被点赞量;最后,要注重生成社交分享类的在线内容,并着力发布通俗易懂的平台简介与简明的平台交易流程。

物流服务质量对顾客重复购买意愿影响研究——以跨境进口电商平台为例

随着跨境进口电商平台越来越受到众多年轻消费者的青睐,消费者对于跨境购物体验的要求也在不断提高,从保证商品完好性的基本要求,转变到快速、便捷地获得商品,涉及了流服务质量的安全性、灵活性、时效性和移情性等。以跨境进口电商平台为研究视角,构建了物流服务质量与顾客重复购买意愿关系的研究模型和假设。利用SPSS26.0软件进行Pearson相关分析法和多元回归分析法对研究假设进行验证,结果显示:物流服务质量四个维度显著正向影响顾客重复购买意愿;安全性、灵活性和时效性显著正向影响顾客满意度;顾客满意度发挥了部分中介的效应。

平台特征对跨社交媒体UGC信息分享行为的影响机理研究

[目的/意义]探究平台特征对跨社交媒体UGC信息分享行为的影响,揭示用户跨社交媒体场景的新特征。[方法/过程]通过刺激—机体—反应(SOR)理论框架构建平台特征对跨社交媒体UGC信息分享行为的中介调节模型,以时间维度和平台维度拼接应用商城数据、百度指数数据、社交媒体数据等,构建多源异构面板数据集作为样本,使用固定效应模型验证相关假设。[结果/结论]平台的声誉和用户服务技术迭代通过感知有用性正向影响跨社交媒体UGC信息分享,而平台的关注度通过感知有用性显著负向影响信息分享行为;平台声誉和用户服务技术迭代对感知有用性和跨社交媒体UGC信息分享之间的关系具有负向调节作用。本文关注跨社交媒体UGC的信息分享行为,为UGC创作者采用跨社交媒体信息投放策略提供参照,为社交媒体维护平台生态提供启示。