GREENHOUSE ENVIRONMENT MONITORING AND CONTROL: STATE OF THE ART AND CURRENT TRENDS

2018 ◽  
Vol 17 (2) ◽  
pp. 399-416 ◽  
Author(s):  
Gheorghe-Daniel Andreescu ◽  
Eugen Horatiu Gurban
Keyword(s):  
State Of The Art ◽  
Environment Monitoring ◽  
Monitoring And Control ◽  
Current Trends ◽  
And Control ◽  
Control State

scholarly journals Drone Deep Reinforcement Learning: A Review

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 999
Author(s):  
Ahmad Taher Azar ◽  
Anis Koubaa ◽  
Nada Ali Mohamed ◽  
Habiba A. Ibrahim ◽  
Zahra Fathy Ibrahim ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
Real Life ◽  
Environment Monitoring ◽  
Simulated Environments ◽  
Infrastructure Inspection ◽  
Remote Sensing Mapping ◽  
And Control ◽  
The Military ◽  
Uav Navigation

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, traffic patrolling, remote sensing, mapping, surveillance, rescuing humans and animals, environment monitoring, and Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISTAR) operations. However, the use of UAVs in these applications needs a substantial level of autonomy. In other words, UAVs should have the ability to accomplish planned missions in unexpected situations without requiring human intervention. To ensure this level of autonomy, many artificial intelligence algorithms were designed. These algorithms targeted the guidance, navigation, and control (GNC) of UAVs. In this paper, we described the state of the art of one subset of these algorithms: the deep reinforcement learning (DRL) techniques. We made a detailed description of them, and we deduced the current limitations in this area. We noted that most of these DRL methods were designed to ensure stable and smooth UAV navigation by training computer-simulated environments. We realized that further research efforts are needed to address the challenges that restrain their deployment in real-life scenarios.

scholarly journals State of the Art of Online Monitoring and Control of the Coagulation Process

Water ◽  
2015 ◽  
Vol 7 (11) ◽  
pp. 6574-6597 ◽  
Author(s):  
Harsha Ratnaweera ◽  
Joachim Fettig
Keyword(s):  
Online Monitoring ◽  
State Of The Art ◽  
Monitoring And Control ◽  
Coagulation Process ◽  
And Control

An Environment Monitoring System Based on Wireless Sensor Networks

2013 ◽  
Vol 765-767 ◽  
pp. 2109-2112 ◽  
Author(s):  
Jin Liu ◽  
Lian Jie Li ◽  
Yu Xin Liu
Keyword(s):  
Monitoring System ◽  
Environmental Control ◽  
Monitoring Network ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Monitoring And Control ◽  
Gateway Node ◽  
Environmental Monitoring System ◽  
Remote Environment ◽  
And Control

Based on the wireless sensor network technology, an environmental monitoring system with localization and magnetic detection capabilities is developed for unattended remote environment monitoring and control. In the system, monitoring nodes adopt the CC2420 to build a low-power, short-range jump, self-organizing wireless network, and the gateway node uses the GPRS technology to link the front monitoring network to the rear monitor center. Meanwhile, a component-based software framework is provided to facilitate the protocol implement and to improve expansibility. The experiment demonstrates that the supervisory system can realize the environmental control duty and has a good application value.

Integrated continuous manufacturing in pharmaceutical industry: current evolutionary steps toward revolutionary future

2019 ◽  
Vol 8 (4) ◽  
pp. 139-161 ◽  
Author(s):  
Nada A Helal ◽  
Ola Elnoweam ◽  
Heba Abdullah Eassa ◽  
Ahmed M Amer ◽  
Mohamed Ashraf Eltokhy ◽  
...  
Keyword(s):  
Pharmaceutical Industry ◽  
Process Development ◽  
State Of The Art ◽  
Scale Up ◽  
Pharmaceutical Products ◽  
Continuous Manufacturing ◽  
Monitoring And Control ◽  
Pharmaceutical Manufacturers ◽  
On Line ◽  
And Control

Continuous manufacturing (CM) has the potential to provide pharmaceutical products with better quality, improved yield and with reduced cost and time. Moreover, ease of scale-up, small manufacturing footprint and on-line/in-line monitoring and control of the process are other merits for CM. Regulating authorities are supporting the adoption of CM by pharmaceutical manufacturers through issuing proper guidelines. However, implementation of this technology in pharmaceutical industry is encountered by a number of challenges regarding the process development and quality assurance. This article provides a background on the implementation of CM in pharmaceutical industry, literature survey of the most recent state-of-the-art technologies and critically discussing the encountered challenges and its future prospective in pharmaceutical industry.

scholarly journals ІННОВАЦІЇ В НАНОМЕДИЦИНІ ТА НАНОФАРМАЦІЇ

World Science ◽  
2020 ◽  
Author(s):  
Bilan O. A. ◽  
Brubaker I. O. ◽  
Marchenko-Tolsta K. S.
Keyword(s):  
Regenerative Medicine ◽  
Green Synthesis ◽  
Nanostructured Materials ◽  
Monitoring And Control ◽  
Current Trends ◽  
And Control ◽  
Further Development

The review examines current trends in the development of biomedical nanotechnology, its application in various fields of medicine and prospects for further development. Among the main directions — monitoring and control of delivery, distribution and use of drugs; nanobiosensors; diagnostics of pathological states; theranostics; use of nanostructured materials in regenerative medicine; nanotoxicology; nanophytopharmacy; green synthesis; development of new nanobiotech devices and nanorobototics.

Designing Algorithms for Data‐Driven Network Management and Control: State‐of‐the‐Art and Challenges 1

2021 ◽  
pp. 175-198
Author(s):  
Andreas Blenk ◽  
Patrick Kalmbach ◽  
Johannes Zerwas ◽  
Stefan Schmid
Keyword(s):  
Network Management ◽  
State Of The Art ◽  
Data Driven ◽  
And Control ◽  
Control State
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