关键词： 计算机仿真   物流系统   管理  

摘要： 随着社会主义的发展进步,我国在科学技术领域有了不断地创新,其中计算机仿真技术的应用显得尤为明显,而电子商务的不断发展促进了物流系统的不断发展,为了能够更好地服务人们,文章研究了计算机仿真在物流系统管理中的具体应用。文章主要分析了计算机仿真技术,同时讲解了在物流系统中应用到计算机仿真的实际情况和基本步骤,希望能为有关人员提供到一定的参考和帮助。

关键词： 教育   数字智能化诊疗技术   3D打印技术   虚拟现实技术   增强现实技术   肝胆外科   临床教学  

摘要： 目的探讨数字智能化诊疗技术在肝胆外科临床教学中的实践应用效果。方法选择40名南方医科大学2015级本科临床医学专业学生作为研究对象。其中,选取20名学生应用数字智能化诊疗技术教学模式进行教学,设为实验组;另外20名学生采用传统教学方法进行教学,设为对照组。比较两组教学效果。结果理论考核成绩结果显示,实验组学生理论考核成绩的平均总分为(82.05±3.44)分,而对照组为(73.75±3.72)分,两组数据对比,差异具有统计学意义(P<0.05)。问卷调查结果显示,实验组学生在教学满意度、临床思维能力、理论联系临床能力等方面均优于对照组学生,差异均具有统计学意义(P<0.05)。结论数字智能化诊疗技术教学模式可以显著提高医学生的专业理论水平,培养良好的临床思维能力,提高肝胆外科的教学效果。

关键词： Distributed data   Virtual reality technology   Swimming education  

摘要： Swimming is one of the most popular attractions for college students but difficult to master. Virtual reality technology can solve mutual inductance and low efficiency of a software framework for physical and virtual reality model of the proposed system problems. Ecosystem swimming can improve. One solution to the effectiveness of cognitive-behavioral issues separate system;cognitive-behavioral research has broad prospects. Swimming through the students? correct behavior showed the incorrect comparison analysis, virtual reality system to solve the real problems of education swimming monotonous. It uses an efficient 3D processing algorithm to estimate the real-time Meta attributes displayed through the key input and multi-touch input and the synthesized sound?s fast physical modeling. The mobile computing device having relatively limited resources, we can provide a large number of multi-mode feedback, according to user input in real time. Support the development of the 3D simulation of swimming skills. 3D virtual reality image improved, and further supports the use of virtual reality FPGA design.

关键词： Deep neural networks  

摘要： Virtual Reality (VR) provides immersive visualization and intuitive interaction. The VR is used to enable any biomedical profession to develop a deep learning (DL) model for image classification. The Deep Neural Network (DNN) models can be used as a powerful tool for data analysis, but they are also challenging to understand and develop. To make deep learning more convenient and fast operation, it have established a landscape of DNN development environment based on virtual reality. In this environment, users can move concrete objects only to build neural networks with their own hands. It automatically transforms these configurations into a trainable model and reports on the real-time test dataset. In addition to realizing the insights users are developing into DNN models, it has also visually enriched the virtual environmental landscape objects with the parts of the model. In this way bridge the gap between professionals in different disciplines, providing a new perspective on the model analysis and data interaction. This system further demonstrates that learning and visualization technologies developed in Shenzhen can benefit from integrating virtual reality. © 2020

关键词： Virtual reality   Scale development   Enjoyment   Attitudes   Technology Acceptance Model (TAM)   Attitudes toward Virtual Reality Technology Scale (AVRTS)  

摘要： To address a deficiency of scales measuring attitudes toward virtual reality technology, the Attitudes toward Virtual Reality Technology Scale (AVRTS) was developed following a three-step procedure. Items were generated based on literature and in a focus group pilot study (n = 20). Using factor analysis with maximum likelihood extraction and direct oblimin rotation, the initial scale was created after administration of these items (n = 314) and further refined after a second survey (n = 473). In the final solution, a total of 22 items clustered into a three-factor solution with the factors being "ease of use" (alpha = .858), "usefulness" (alpha = .857), and "enjoyment" (alpha = .919) and overall reliability of .910. Construct validity was established by correlating the AVRTS with the Technology Readiness Index and an access barrier scale, and internal validity was established by correlating the scale with its sub-scales.

关键词： 车辆工程  

ISBN: (纸本)9787564379872

摘要： 本书内容包括: 横置板簧悬架模型、钢板弹簧模型、发动机模型、变速器、传动轴、制动系统、路面模型、摩托车、双轴转向系统、方程式赛车等。

关键词： virtual reality   exergame   rehabilitation   game technology   functional mobility   older people   game-based interventions  

摘要： Background: The accessibility, versatility and motivation provided by virtual reality technology (VRT) have fostered its rapid expansion as a rehabilitation technique to improve functional mobility. The aim of this study was to investigate the effectiveness of rehabilitation programmes using VRT, specific virtual reality technology (VRT-S) and non-specific virtual reality technology (VRT-NS), to improve functional mobility in individuals aged >60 years versus conventional treatment (CT) or no intervention. Methods: Nine databases (Cochrane Library, Scopus, PEDro, Medline, CSIC, Web of Science, OT Seeker, NGCH and CINAHL) were searched to identify randomised trials up to December 2019. Results of clinical trials that used VRT-S and VRT-NS in rehabilitation were combined, using a random effects model with inverse variance weighting of the studies. GRADE was used to assess the quality of evidence. The protocol was registered in PROSPERO: CRD42019131630. Overall, there was moderate quality of evidence for the functional mobility results, which means that the estimate of effect is likely to change. Results: Sixteen of the 18 studies selected (n=568) provided data for the subgroup meta-analysis. VRT-NS was more effective in improving functional mobility than no intervention [standardised mean difference (SMD)=-1.02;95% confidence interval (CI) -1,91 to -0,14). VRT-NS was also more effective than CT in improving resistance in ambulation (SMD=-1.20;95% CI -1.93 to 0.46). No significant differences were found between VRT-S and CT or no intervention. Programmes in which >18 sessions were applied were more beneficial (SMD=-0.89;95% CI -1.71 to -0.08;<0.001) than programmes with <= 18 sessions (SMD=0.04;95% CI -0.51 to 0.59) versus no intervention. Conclusions: Our results suggest that VRT is an effective intervention for improving functional mobility in older persons compared with CT. VRT-NS proved to be more effective than VRT-S. However, these results are still not conclusiv