第二阶段 - HazPrep 工人培训 - 社区风险概况-猫眼课题宝

第二阶段 - HazPrep 工人培训 - 社区风险概况

批准号：

9753672

负责人：

Henry Ryng

金额：

$19.99万

依托单位：

INXSOL, LLC

依托单位国家：

美国

项目类别：

财政年份：

2017

资助国家：

美国

项目状态：

已结题

起止时间：

2017-06-01 至 2021-05-31

来源：

https://reporter.nih.gov/project-details/9753672

关键词：

Accidents Achievement Address Algorithms Authorization documentation Awareness Big Data Businesses Case Study Code Coin Communities Community of Practice Containment Credentialing Data Databases Effectiveness Emergency Situation Emergency response Event Excision Exercise Feasibility Studies Feedback Feeds Fees Fire - disasters Formulation Fostering Frequencies Generations Hazardous Substances Hazardous Waste Health Individual Ingestion Injury Internet Knowledge Learning Legal patent Libraries Location Machine Learning Maintenance Metadata Methods Modeling National Institute of Environmental Health Sciences Occupations Pathway interactions Performance Phase Plants Privatization Process Production Recording of previous events Records Reporting Resources Risk S Phase Safety Site Source System Systems Integration Techniques Technology Testing Time Training Transportation Update Work base cloud based commercialization crowdsourcing data archive design e-commerce emergency service responder experience feeding first responder flexibility handheld mobile device hazard innovation learning strategy machine learning algorithm off-patent personalized learning portability programs prototype repaired skills social learning tool wasting web site

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中文摘要

翻译

项目概要/摘要工人的个人危害概况（PHP）是当前危害及其暴露的函数这些危险的水平。具有高风险水平的工人是那些可以从事与危险材料、废物产生、清除、控制、运输和应急响应。inXsol的第一阶段可行性研究得到验证一种新形式的众包社会学习平台的吸引力和有效性。我们的方法使用云技术创建了一个动态增长的事件/场景库，个性化（职业/任务/地理位置）风险概况，并生成学习活动以进行风险培训意识和缓解技术。第二阶段的建议包括实施一项创新地使用大数据算法进行社区配置文件，并与PHP融合，有针对性和个性化的培训，完成HazPrep原型的开发和实施由我们的beta测试团队在第一阶段完成。

英文摘要

PROJECT SUMMARY/ABSTRACT A worker's personal hazard profile (PHP) is a function of hazards present and his/her exposure level to those hazards. Workers with an elevated level of risk are those who can be engaged in activities related to - or working around - hazardous materials, waste generation, removal, containment, transportation, and emergency response. inXsol’s Phase I feasibility study verified appeal and effectiveness of a new form of crowdsourced social learning platform. Our approach using cloud technology creates a dynamically growing library of incidents/scenarios, highly personalized (occupation/task/geo) risk profile and generates learning activities to train on risk awareness and mitigation techniques. The Phase II proposal includes implementation of an innovative use of big data algorithms for community profiles and fusion with PHP allowing for targeted and personalized training completing the HazPrep prototype developed and exercised by our beta test team in Phase I.

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