Thermal Environments in the Construction Industry: A Critical Review of Heat Stress Assessment and Control Strategies

2018 ◽  
pp. 25-43 ◽  
Author(s):  
Ruwini Edirisinghe ◽  
Mary Myla Andamon
Keyword(s):  
Heat Stress ◽  
Construction Industry ◽  
Critical Review ◽  
Control Strategies ◽  
Stress Assessment ◽  
Thermal Environments ◽  
And Control

Foaming mechanisms and control strategies during the anaerobic digestion of organic waste: A critical review

2021 ◽  
pp. 146531
Author(s):  
Pingjin Yang ◽  
Yun Peng ◽  
Hanyue Tan ◽  
Hengyi Liu ◽  
Di Wu ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Critical Review ◽  
Organic Waste ◽  
Control Strategies ◽  
And Control

A Short Review on Heat Stress and Heat Strain in Construction Industry: The Effect on Worker Performance, Associated Health Effect, It’s Measurement and Control Mechanism

2021 ◽  
pp. 559-566
Author(s):  
Che Mohammad Nizam ◽  
Ahmad Rasdan Ismail ◽  
Ezrin Hani Sukadrin ◽  
Nor Kamilah Mokhtar ◽  
Arham Abdullah ◽  
...  
Keyword(s):  
Heat Stress ◽  
Construction Industry ◽  
Control Mechanism ◽  
Health Effect ◽  
Short Review ◽  
Heat Strain ◽  
Worker Performance ◽  
And Control ◽  
Measurement And Control

A Critical Review of Advanced Electric Machines and Control Strategies for Electric Vehicles

2020 ◽  
pp. 1-25
Author(s):  
Chunhua Liu ◽  
K. T. Chau ◽  
Christopher H. T. Lee ◽  
Zaixin Song
Keyword(s):  
Electric Vehicles ◽  
Critical Review ◽  
Control Strategies ◽  
Electric Machines ◽  
And Control

Effective infection prevention and control strategies in a large accredited psychiatric facility in Singapore

2020 ◽  
Author(s):  
Daniel Poremski ◽  
Sandra Henrietta Subner ◽  
Grace Lam Fong Kin ◽  
Raveen Dev Ram Dev ◽  
Mok Yee Ming ◽  
...  
Keyword(s):  
Mental Health ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Control Strategies ◽  
Infection Prevention And Control ◽  
Psychiatric Facility ◽  
Essential Services ◽  
Community Transmission ◽  
And Control

The Institute of Mental Health in Singapore continues to attempt to prevent the introduction of COVID-19, despite community transmission. Essential services are maintained and quarantine measures are currently unnecessary. To help similar organizations, strategies are listed along three themes: sustaining essential services, preventing infection, and managing human and consumable resources.

Optimization and Control Petroleum Refinery Wastewater Treatment Systems — Status, Trends and Needs

1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Petroleum Refinery ◽  
Control Strategies ◽  
Refinery Wastewater ◽  
Statistical Process ◽  
Petroleum Refinery Wastewater ◽  
Optimization And Control ◽  
And Control ◽  
Wastewater Treatment Systems

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.

Learning and control

2018 ◽  
Author(s):  
Ivan Herreros
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Brain Function ◽  
Control Strategies ◽  
Learning Problems ◽  
Animal Learning ◽  
Feed Forward Control ◽  
Machine Learning Applications ◽  
And Control

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.

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