检索范围:
排序: 展示方式:
窦文悦,胡平,魏平,郑南宁
《中国工程科学》 2021年 第23卷 第6期 页码 167-177 doi: 10.15302/J-SSCAE-2021.06.016
无人驾驶汽车是人工智能技术的应用热点之一,随之而来的车辆安全事故引发了全社会关注;无人驾驶安全风险的识别与度量成为人工智能安全领域亟待研究的课题。本文通过案例访谈收集定性资料,采用探索性的质性研究方法和扎根理论,对安全风险的关键要素进行识别与提炼,率先提出无人驾驶安全风险六要素框架:单车安全、联网安全、技术水平、法律政策、社会舆论、产业风险;完成问卷量表设计,进行两次网络问卷调查以收集必要数据,据此对安全风险要素进行度量验证。研究认为,为了有效应对未来无人驾驶的安全风险,企业应加强关键零部件的研发和制造,增强信息安全的建设和投入,参与行业标准和法律法规的制定,不做虚假宣传并积极维护新兴行业发展;政府应合理加强测试监管,加速颁布法规与制定标准,引导人才培养并防止人才流失;消费者应保持良好的驾驶与行车习惯,不盲从、不轻信夸张宣传。
Risk Identification and Mitigation Strategies for Deepwater Oilfields Development
Bao-quan Yang,Li Yang,Fan-jie Shang,Xin Zhang,Chen-xi Li
《工程管理前沿(英文)》 2016年 第3卷 第4期 页码 356-361 doi: 10.15302/J-FEM-2016057
关键词: deepwater oilfield field development plan implementation reservoir management risk identification mitigation strategies
李忠民,,汤淑春,李军4,陈健
《中国工程科学》 2005年 第7卷 第12期 页码 49-53
讨论了武器装备采办全寿命周期的概念,给出了武器装备采办全寿命周期风险识别的原则和程序;探讨了采办风险识别的方法,提出了全寿命周期各阶段风险识别方法的组合选择方案;在寿命周期各阶段识别方法的选择方案基础上,分析了寿命周期各阶段的风险,为武器装备采办全寿命周期风险的系统管理奠定了基础。
关键词: 风险识别 武器装备采办风险管理 全寿命周期
丁烈云,周诚
《中国工程科学》 2012年 第14卷 第12期 页码 85-93
在地铁施工安全管理工作中,面临的一个突出问题是施工安全风险信息采集与利用不充分,施工全过程安全风险控制仍是一个“黑箱”控制。将信息技术用于地铁工程施工安全风险控制,主要包括:a. 针对施工前安全风险识别,提出利用计算机技术从工程图纸中自动识别施工安全风险的新方法,从而提高地铁施工安全知识的积累、共享和重用;b. 针对施工中安全风险预警,提出地铁施工安全风险信息融合与时空耦合的预警方法,有效支持动态定位和跟踪危险施工工序及部位;c. 针对高风险特殊区段施工,开发集自动监测、实时预警于一体的地铁施工安全集成控制技术,将预警信息及时发送给现场施工人员,便于及时有效的采取施工控制和应急措施,保障施工安全。本研究成果在全国多个城市地铁建设中成功应用。
Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU
《环境科学与工程前沿(英文)》 2014年 第8卷 第1期 页码 42-53 doi: 10.1007/s11783-013-0499-y
关键词: identification and ranking source water deconvolution risk assessment Danjiangkou South to North Water Transfer Project
数量工程技术在南京长江隧道工程中风险辨别及事故防范的应用研究
钱维,金先龙,沈建奇
《中国工程科学》 2008年 第10卷 第10期 页码 22-30
以南京长江隧道工程为背景,提出了基于数量工程技术的风险提示及事故防范方法,即运用数值仿真方法,借助超级计算机的并行计算能力,建立盾构机进出洞,盾构机穿越长江大堤及穿越江中最浅覆土层,两台盾构机同时施工影响,盾构机穿越复合土层等工程关键问题的数量分析模型。基于该模型,对地表沉降过大、盾构机姿态偏移、开挖面失稳等工程风险进行了提示;分析了风险产生的机理、后果;提出了事故防范的措施,评价和验证了防范措施的有效性和合理性。
null
《医学前沿(英文)》 2018年 第12卷 第2期 页码 189-195 doi: 10.1007/s11684-017-0533-8
Obstructive sleep apnea syndrome (OSAS) increases the risk of post-surgery complications. This study uses Berlin Questionnaire (BQ) to identify Chinese adult surgical patients who are at a high risk of OSAS and to determine if the BQ could be used to detect potential high risk of adverse respiratory events in the post anesthesia care unit (PACU). Results indicated that only 11.4% of the patients were considered at a high risk of OSAS. Age and body mass index are the key factors for the risk of OSAS prevalence in China and also gender specific. Furthermore, the incidence of adverse respiratory events in the PACU was higher in patients with high risk of OSAS than others (6.8% vs. 0.9%, <0.001). They also stayed longer than others in the PACU (95±28 min vs. 62±19 min, <0.001). Age, high risk for OSAS, and smoking were independent risk factors for the occurrence of adverse respiratory events in the PACU. The BQ may be adopted as a screening tool for anesthesiologists in China to identify patients who are at high risk of OSAS and determine the potential risk of developing postoperative respiratory complications in the PACU.
关键词: obstructive sleep apnea Berlin Questionnaire Chinese surgical patients adverse respiratory event
Variational mode decomposition based modal parameter identification in civil engineering
Mingjie ZHANG, Fuyou XU
《结构与土木工程前沿(英文)》 2019年 第13卷 第5期 页码 1082-1094 doi: 10.1007/s11709-019-0537-3
关键词: modal parameter identification variational mode decomposition civil structure nonlinear system closely spaced modes
Non-convex sparse optimization-based impact force identification with limited vibration measurements
《机械工程前沿(英文)》 2023年 第18卷 第3期 doi: 10.1007/s11465-023-0762-2
关键词: impact force identification inverse problem sparse regularization under-determined condition alternating direction method of multipliers
梅旭荣 ,张琳 ,袁龙江 ,胡向东 ,谢玲红 ,吴孔明 ,王国刚 ,王晓君
《中国工程科学》 2023年 第25卷 第4期 页码 39-49 doi: 10.15302/J-SSCAE-2023.04.008
The research on structural damage identification using rough set and integrated neural network
Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG
《机械工程前沿(英文)》 2013年 第8卷 第3期 页码 305-310 doi: 10.1007/s11465-013-0259-5
A huge amount of information and identification accuracy in large civil engineering structural damage identification has not been addressed yet. To efficiently solve this problem, a new damage identification method based on rough set and integrated neural network is first proposed. In brief, rough set was used to reduce attributes so as to decrease spatial dimensions of data and extract effective features. And then the reduced attributes will be put into the sub-neural network. The sub-neural network can give the preliminary diagnosis from different aspects of damage. The decision fusion network will give the final damage identification results. The identification examples show that this method can simplify the redundant information to reduce the neural network model, making full use of the range of information to effectively improve the accuracy of structural damage identification.
关键词: rough set integrated neural network damage identification decision making fusion
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0691-5
关键词: multifingered hand mechanism design robot safety variable stiffness actuator
Understanding and addressing the environmental risk of microplastics
《环境科学与工程前沿(英文)》 2023年 第17卷 第1期 doi: 10.1007/s11783-023-1612-5
Over the past decades, the plastic production has been dramatically increased. Indeed, a category of small plastic particles mainly with the shapes of fragments, fibers, or spheres, called microplastics (particles smaller than 5 mm) and nanoplastics (particles smaller than 1 μm) have attracted particular attention. Because of its wide distribution in the environment and potential adverse effects to animal and human, microplastic pollution has been reported as a serious environment problem receiving increased attention in recent years. As one of the commonly detected emerging contaminants in the environment, recent evidence indicates that the concentration of microplastics show an increasing trend, for the reason that up to 12.7 million metric tons of plastic litter is released into aquatic environment from land-based sources each year. Furthermore, microplastic exposure levels of model organisms in laboratory studies are usually several orders of magnitude higher than those found in environment, and the microplastics exposure conditions are also different with those observed in the environment. Additionally, the detection of microplastics in feces indicates that they can be excreted out of the bodies of animal and human. Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on current studies, which might be exaggerated. Policies reduce microplastic emission sources and hence minimize their environmental risks are determined. To promote the above policies, we must first overcome the technical obstacles of detecting microplastics in various samples.
关键词: Emerging contaminants Microplastics Environment risk Health effect
《结构与土木工程前沿(英文)》 2021年 第15卷 第4期 页码 851-866 doi: 10.1007/s11709-021-0739-3
关键词: damage identification beam-to-column connection time-domain response optimization
Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of
Ye GAO, Wei SUN
《机械工程前沿(英文)》 2019年 第14卷 第3期 页码 358-368 doi: 10.1007/s11465-019-0539-9
关键词: inverse identification pipeline hoop frequency response function mechanical parameters preload
标题 作者 时间 类型 操作
Risk Identification and Mitigation Strategies for Deepwater Oilfields Development
Bao-quan Yang,Li Yang,Fan-jie Shang,Xin Zhang,Chen-xi Li
期刊论文
Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir
Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU
期刊论文
Identification of surgical patients at high risk of OSAS using the Berlin Questionnaire to detect potentialhigh risk of adverse respiratory events in post anesthesia care unit
null
期刊论文
Variational mode decomposition based modal parameter identification in civil engineering
Mingjie ZHANG, Fuyou XU
期刊论文
Non-convex sparse optimization-based impact force identification with limited vibration measurements
期刊论文
The research on structural damage identification using rough set and integrated neural network
Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG
期刊论文
Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous
期刊论文
Damage identification in connections of moment frames using time domain responses and an optimization
期刊论文