首页|基于多模态的实验室科研工效分析系统

基于多模态的实验室科研工效分析系统

扫码查看
为实现实验室科研管理过程中的成员工时和工效分析、任务分配的合理性评估等需求,研究一种基于摄像头视频、考勤机记录、Web系统记录等的多模态工效分析系统MASRE.该系统通过实验室科研人员工时及其玩手机行为导致的无效工时、工效实时对比与展示,激励实验室成员投入更多的时间开展学术研究.依据系统计算的工效变化趋势,实验室负责人可分析科研任务分配的合理性,科研人员也可分析影响其科研效率的因素.MASRE系统由负责工时工效统计的Web系统模块和支持无效工时自动识别的AI分析模块构成,采用PyTorch、VUE 3、MySQL等技术实现.以该系统研发及其研究报告撰写的工时工效分析为例进行实验分析,结果表明MASRE系统可有效识别无效工时并进行工时统计与工效分析.同时,该系统已免费向实验室研究团队开放申请注册使用,网址为 https://icnc-fskd.fzu.edu.cn/htower/.
Multi-mode Analysis System of Research Efficiency in Labs
This study aims to meet the requirements of member working hours and efficiency analysis,and reasonable task allocation assessment in scientific research management of labs.It studies a multi-mode analysis system of research efficiency in labs named MASRE based on camera videos,attendance machines,and Web systems.Meanwhile,the system can motivate researchers to invest more time in academic studies by comparing and presenting actual work time,invalid work hours caused by phone abuse,and the research efficiency of researchers.Additionally,according to the research efficiency trends calculated by the system,the lab leaders can analyze whether the research tasks are allocated reasonably or not,and the researchers can explore the factors influencing their efficiency.The MASRE system comprises two core modules of the Web system module and the AI analysis module.The Web system module is responsible for work hours and efficiency statistics,and the AI analysis module supports the automatic identification of invalid work hours.The system is implemented by PyTorch,VUE 3,and MySQL.The work hour and efficiency analysis developed by this system and written by its research report are taken as an example to conduct experimental analysis.The results show that the MASRE system can identify invalid work hours and perform work hour statistics and efficiency analysis.Meanwhile,the system MASRE is now available at https://icnc-fskd.fzu.edu.cn/htower/,and research labs can apply for free use.

research efficiency analysismulti-mode samplingresearch teamtask allocationrecognition of phone abuse behaviorattention mechanismdetection method

廖龙龙、郑志伟、张煜朋、方鑫、郑育强、XIONG Ning、于元隆

展开 >

福州大学计算机与大数据学院,福州 350108

香港大学理学院,香港 999077

马拉达伦大学未来智能技术系,西曼兰72123

科研工效分析 多模态采样 科研团队 任务分配 玩手机行为识别 注意力机制 检测方法

福建省自然科学基金国家自然科学基金

2021J01617U21A20471

2024

计算机系统应用
中国科学院软件研究所

计算机系统应用

CSTPCD
影响因子:0.449
ISSN:1003-3254
年,卷(期):2024.33(1)
  • 6