Resource Type

Journal Article 6

Year

2021 4

2020 1

2008 1

Keywords

Containment control 1

Distributed event-triggered control 1

H2 risk 1

Heterogeneous nonlinear systems 1

Multi-agent systems 1

Zeno behavior 1

condensed pattern 1

conjunctive query 1

containment 1

control measure 1

coronavirus disease 2019 (COVID-19) 1

frequent pattern discovery 1

mitigation 1

multi-relational data mining 1

public health response 1

safety 1

severe accident 1

source term 1

open ︾

Search scope:

排序： Display mode:

COVID-19 containment: China provides important lessons for global response

Shuxian Zhang, Zezhou Wang, Ruijie Chang, Huwen Wang, Chen Xu, Xiaoyue Yu, Lhakpa Tsamlag, Yinqiao Dong, Hui Wang, Yong Cai

Frontiers of Medicine 2020, Volume 14, Issue 2,   Pages 215-219 doi: 10.1007/s11684-020-0766-9

Abstract: The world must act fast to contain wider international spread of the epidemic of COVID-19 now. The unprecedented public health efforts in China have contained the spread of this new virus. Measures taken in China are currently proven to reduce human-to-human transmission successfully. We summarized the effective intervention and prevention measures in the fields of public health response, clinical management, and research development in China, which may provide vital lessons for the global response. It is really important to take collaborative actions now to save more lives from the pandemic of COVID-19.

Keywords： coronavirus disease 2019 (COVID-19)     control measure     public health response    

HTML PDF Collect

THAI experimental research on hydrogen risk and source term related safety systems

Frontiers in Energy 2021, Volume 15, Issue 4,   Pages 887-915 doi: 10.1007/s11708-021-0789-1

Abstract: defense-in-depth concept employed for the safety of nuclear installations, maintaining integrity of containment

Keywords： severe accident     containment     safety     mitigation     H2 risk     source term    

HTML PDF Collect

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered Research Articles

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000034

Abstract: We study the problem for high-order heterogeneous nonlinear under distributed event-triggered schemes. To achieve the objective and reduce communication consumption among agents, a scheme is proposed by applying the backstepping method, Lyapunov functional approach, and neural networks. Then, the results are extended to the self-triggered control case to avoid continuous monitoring of state errors. The developed protocols and triggered rules ensure that the output for each follower converges to the convex hull spanned by multi-leader signals within a bounded error. In addition, no agent exhibits . Two numerical simulations are finally presented to verify the correctness of the obtained results.

Keywords： Multi-agent systems     Distributed event-triggered control     Containment control     Heterogeneous nonlinear    

HTML PDF Collect

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 47-53

Abstract: approach to semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Keywords： multi-relational data mining     frequent pattern discovery     conjunctive query     condensed pattern    

HTML PDF Collect

Sampled data based containment control of second-order multi-agent systems under intermittent communications Research Articles

Fuyong Wang, Zhongxin Liu, Zengqiang Chen,wangfy@nankai.edu.cn,lzhx@nankai.edu.cn,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1059-1067 doi: 10.1631/FITEE.2000204

Abstract: A novel controller for second-order containment is put forward via intermittent measurement.

Keywords： 包含控制；二阶多智能体系统；采样位置数据；间歇通信；通信宽度    

HTML PDF Collect

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment Review Article

Roberto De Fazio, Nicola Ivan Giannoccaro, Miguel Carrasco, Ramiro Velazquez, Paolo Visconti,roberto.defazio@unisalento.it,ivan.giannoccaro@unisalento.it,miguel.carrasco@uai.cl,rvelazquez@up.edu.mx,paolo.visconti@unisalento.it

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1413-1442 doi: 10.1631/FITEE.2100085

Abstract: Until a safe and effective vaccine to fight the SARS-CoV-2 virus is developed and available for the global population, preventive measures, such as wearable tracking and monitoring systems supported by Internet of Things (IoT) infrastructures, are valuable tools for containing the pandemic. In this review paper we analyze innovative wearable systems for limiting the virus spread, early detection of the first symptoms of the coronavirus disease COVID-19 infection, and remote monitoring of the health conditions of infected patients during the quarantine. The attention is focused on systems allowing quick user screening through ready-to-use hardware and software components. Such sensor-based systems monitor the principal vital signs, detect symptoms related to COVID-19 early, and alert patients and medical staff. Novel for complying with social distancing rules and limiting interpersonal contagion (such as smart masks) are investigated and analyzed. In addition, an overview of implantable devices for monitoring the effects of COVID-19 on the cardiovascular system is presented. Then we report an overview of tracing strategies and technologies for containing the based on IoT technologies, , and cloud computing. In detail, we demonstrate the potential of radio frequency based signal technology, including Bluetooth Low Energy (BLE), Wi-Fi, and radio frequency identification (RFID), often combined with Apps and cloud technology. Finally, critical analysis and comparisons of the different discussed solutions are presented, highlighting their potential and providing new insights for developing innovative tools for facing future pandemics.

Keywords： 可穿戴设备；物联网健康监测应用；医学传感器；新型冠状病毒肺炎（COVID-19）；症状检测    

HTML PDF Collect

Title Author Date Type Operation

COVID-19 containment: China provides important lessons for global response

Shuxian Zhang, Zezhou Wang, Ruijie Chang, Huwen Wang, Chen Xu, Xiaoyue Yu, Lhakpa Tsamlag, Yinqiao Dong, Hui Wang, Yong Cai

Journal Article

THAI experimental research on hydrogen risk and source term related safety systems

Journal Article

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Journal Article

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

Sampled data based containment control of second-order multi-agent systems under intermittent communications

Fuyong Wang, Zhongxin Liu, Zengqiang Chen,wangfy@nankai.edu.cn,lzhx@nankai.edu.cn,chenzq@nankai.edu.cn

Journal Article

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment

Roberto De Fazio, Nicola Ivan Giannoccaro, Miguel Carrasco, Ramiro Velazquez, Paolo Visconti,roberto.defazio@unisalento.it,ivan.giannoccaro@unisalento.it,miguel.carrasco@uai.cl,rvelazquez@up.edu.mx,paolo.visconti@unisalento.it

Journal Article