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Posts

Future Blog Post

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

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Blog Post number 1

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portfolio

立式芦苇笋剥皮机设计

这是一个本科期间的国家级大学生创新创业项目,获得4项省部级比赛奖项,一项实用新型受理。负责项目管理、机械电子设计、样机制作、专利申请

军用模块化补给车设计&动画制作

参与到老师的受北方兵器工业集团201研究所委托的高机动平台设计的项目中,独立负责设计模块化的军用运输车,使用solidworks 和c4d建模,c4d制作动画。方案获得甲方认可。

publications

Survey Design in Supporting of Product Design and Development: A Case Study

这篇论文研究了调查设计在投资者早期识别适当市场机会以及推动产品设计与开发(PD&D)过程中的重要作用。通过介绍产品设计与开发的流程和调查方法学,该研究以一个案例研究项目为例,旨在开发用于检测风力发电机叶片缺陷的非破坏性测试机器人。研究设计了一项调查问卷,并由中国农业大学工学院34名大二本科生在暑期社会调查项目中进行了调查,调查范围覆盖了中国南北部12个省份的28个风电场。研究结果表明,高质量的调查设计对产品设计与开发过程中的商业计划的早期阶段具有显著支持作用。

Recommended citation: Yin, C., Wang, Y., & Wang, H. (2019). Survey Design in Supporting of Product Design and Development: A Case Study. In _2019 ASABE Annual International Meeting_ (p. 1). American Society of Agricultural and Biological Engineers. http://george-wyy.github.io/files/paper1.pdf

基于Python的工程信息交互仿真软件

Recommended citation: Yin, C., Wang, Y. (2020). Python-Based Engineering Information Communication Simulation Software (Version 1.0) [Computer software]. Beijing, China Agricultural University.

Enhancement Characteristics of Visual Stimulus Elements in SSVEP-BCI System

该论文研究了SSVEP-BCI系统在脑机接口领域的应用。该系统具有少量记录电极、短训练时间和强大的抗干扰能力等优点。然而,该系统的缺点是识别效率较低,并且刺激界面容易引起用户的视觉疲劳。因此,本文针对SSVEP-BCI界面中刺激元素的优化进行了研究,探讨了在相同刺激区域下不同数量辅助刺激颗粒对系统识别效率和用户体验的影响。进行了相关的人体工效学实验和主观评价。人体工效学实验结果表明,辅助刺激颗粒的数量对系统识别效率有显著影响,当辅助刺激颗粒数量趋近于无穷大时,识别效率最高。主观评价结果显示,辅助刺激颗粒数量的变化对系统界面可用性指标得分有显著影响,数量无限时得分较高。从设计人体工效学的角度出发,本研究探讨了辅助刺激颗粒数量对脑机接口系统效率和用户满意度的影响,研究结论对优化和规范脑机接口设计具有重要的指导意义。

Recommended citation: Li, Z., Zhou, Z., Wang, Y., Tian, J., Yang, W., Niu, Y. (2023). Enhancement Characteristics of Visual Stimulus Elements in SSVEP-BCI System. In: Tareq Ahram, Waldemar Karwowski, Pepetto Di Bucchianico, Redha Taiar, Luca Casarotto and Pietro Costa (eds) Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems. AHFE (2023) International Conference. AHFE Open Access, vol 69. AHFE International, USA. http://doi.org/10.54941/ahfe1002921 http://george-wyy.github.io/files/paper2.pdf

talks