Controlling Factors of Microplastic Riverine Flux and Implications for Reliable Monitoring Strategy

2021 ◽  
Author(s):  
Mengyu Bai ◽  
Yan Lin ◽  
Rachel R. Hurley ◽  
Lixin Zhu ◽  
Daoji Li
Keyword(s):  
Controlling Factors ◽  
Monitoring Strategy ◽  
Reliable Monitoring

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

Mediterranean Messinian carbonate platforms : some controlling factors

1994 ◽  
Vol 21 (3) ◽  
pp. 45-48 ◽  
Author(s):  
Jean-Jacques Cornée ◽  
Gérard Guieu ◽  
J. Muller ◽  
Jean-Paul Saint Martin
Keyword(s):  
Controlling Factors ◽  
Carbonate Platforms

COGNITIVE MODELING AS A METHOD TO CONTROL MIGRATION TEMPERATURE

2020 ◽  
pp. 69-87
Author(s):  
Oleg Patlasov ◽  
Oleg Luchko ◽  
Svetlana Mukhametdinova
Keyword(s):  
Temperature Control ◽  
Cognitive Modeling ◽  
Statistical Data ◽  
Controlling Factors ◽  
Simulation Experiments ◽  
Approaches To Studying ◽  
Economic Problems ◽  
Qualitative And Quantitative ◽  
The Social ◽  
Expert Assessments

The research describes one of the approaches to designing a productive mechanism for migration temperature control considering it as an integral qualitative and quantitative indicator of the social and economic problems level associated with migration processes. The analysis of various approaches to studying migration processes impact on socioeconomic situation in recipient countries has been carried out. Some cognitive models have been developed basing on the questionnaire results’ analysis, expert assessments, statistical data. A series of simulation experiments have been carried out using software specially developed to automate the cognitive modeling processes.In the course of our experiments, some changes in the target factor. i.e., in migration temperature, have been detected as a result from different intensity impulses impacting on individual controlling factors. Within the developed models framework, several proposals have been put forward concerning the productive mechanism for migration temperature control.

DISTRIBUTION AND CONTROLLING FACTORS OF MAJOR ELEMENTS IN SEDIMENTS OF THE YALU RIVER ESTUARY

2010 ◽  
Vol 30 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Jiasheng LI ◽  
Jianhua GAO ◽  
Jun LI ◽  
Zhenyan WANG ◽  
Jie YAN ◽  
...  
Keyword(s):  
River Estuary ◽  
Major Elements ◽  
Controlling Factors ◽  
Yalu River
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