期刊：
Construction and Building Materials,2022年343:127953 ISSN：0950-0618
通讯作者：
Tao, Qiuwang(taoqiuwang@usc.edu.cn)
作者机构：
[Deng, Du; Li, Zhujing; Chen, Zhenfu; Tao, Qiuwang; Jin, Dan; Luo, Lincheng] Univ South China, Sch Civil Engn, Hengyang 421001, Hunan, Peoples R China.;[Deng, Du; Chen, Zhenfu; Tao, Qiuwang; Luo, Lincheng] Univ South China, China Nucl Ind Key Lab High Performance Concrete, Hengyang 421001, Hunan, Peoples R China.;[Deng, Du; Li, Zhujing; Chen, Zhenfu; Tao, Qiuwang; Jin, Dan; Luo, Lincheng] Univ South China, Hunan Prov Key Lab High Performance Special Concre, Hengyang 421001, Hunan, Peoples R China.;[Xie, Liping] China Nucl Ind 22ND Construct Co Ltd, Yichang 443101, Hubei, Peoples R China.
通讯机构：
[Qiuwang Tao] S;School of Civil Engineering, University of South China, Hengyang 421001, Hunan Province, China<&wdkj&>China Nuclear Industry Key Laboratory of High-Performance Concrete, University of South China, Hengyang 421001, Hunan Province, China<&wdkj&>Hunan Provincial Key Laboratory of High-Performance Special Concrete, University of South China, Hengyang 421001, Hunan Province, China
关键词：
Barite;Gamma ray shielding;High temperature;Magnetite;Radiation shielding concrete;Splitting tensile strength
期刊：
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics),2022年:93-100
作者机构：
[Yun Qiu] Foshan Highway and Bridge Engineering, Monitoring Station Co, China;[Yuan Zhang; Hengshan Wu; Bin Luo] School of Civil Engineering, University of South China, China;Department of Computer Science, St. Francis Xavier University, Canada;[Feilong Tang] School of Data Science and Engineering, East China Normal University, Shanghai, China;[Lingzhi Yi] School of Civil Engineering, University of South China, China<&wdkj&>Department of Computer Science, St. Francis Xavier University, Canada
摘要：
Internet of Things (IoT) based Bridge Structural Health Monitoring (BSHM) is a hot topic in the field of civil engineering and computer science, and has been widely concerned by academia and industry. The lifetime of the sensors is much less than that of the bridge, which is one of the main technical bottlenecks in BSHM. Therefore, how to effectively improve the network lifetime is the focus of current research. Based on reinforcement learning and Fisher information matrix, this paper proposed a node sleep scheduling strategy by using the learning automata model and confident information coverage (CIC) model to learn the optimal sensor sleep scheduling strategy through cooperative sensing among nodes. Fisher information matrix, which is widely used in civil engineering, was introduced to define the node sleep scheduling problem as a multi-objective optimization problem. With information validity as the modal assurance criterion, the network performance was measured by combining energy efficiency, network coverage requirements and network connectivity. While ensuring the network connectivity and coverage requirements, the system parameter identification error is minimized and the network life is maximized. Through the simulation of jiangbei Bridge in Guangdong, China, the effectiveness, energy efficiency and applicability of the proposed scheme are verified.
期刊：
Indoor and Built Environment,2022年31(1):17-30 ISSN：1420-326X
通讯作者：
Hanqing Wang
作者机构：
Department of Pharmaceutical Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran;Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran;Center for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada;Antimicrobial Resistance Research Centre, Mashhad University of Medical Sciences, Mashhad, Iran;Department of Microbiology and Virology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
通讯机构：
[Hanqing Wang] C;China School of Resource Environment and Safety Engineering, University of South China, Hengyang, China<&wdkj&>Hunan Provincial Engineering Lab of Building Environmental Control, Hengyang, China<&wdkj&>School of Civil Engineering, Central South University of Forestry and Technology, Changsha, China<&wdkj&>School of Civil Engineering, University of South China, Hengyang, China
关键词：
Computational fluid dynamics;Horizontal dispersity;Industrial submicron particles;The force of particulate matter;Turbulent dispersion
