Collaborative micromanipulation using multiple bubble microrobots in an open reservoir

2017 ◽  
Vol 12 (11) ◽  
pp. 891-896 ◽  
Author(s):  
Mohammad Arifur Rahman ◽  
Zhidong Wang ◽  
Aaron T. Ohta
Keyword(s):  
1970 ◽  
Vol 6 (1) ◽  
pp. 70-75 ◽  
Author(s):  
V. N. Tishchenko ◽  
Yu. A. Shevlyakov

2015 ◽  
Vol 22 (2) ◽  
pp. 155-160 ◽  
Author(s):  
Masashi Tagaya ◽  
Morihiro Matsuda ◽  
Masahiro Ryugo ◽  
Taiichi Takasaki ◽  
Shigeaki Kurita ◽  
...  

Atomic Energy ◽  
1958 ◽  
Vol 5 (1) ◽  
pp. 890-894
Author(s):  
D. I. Il'in ◽  
A. I. Petrova ◽  
N. Ia. Chepkasova

2019 ◽  
Vol 67 (4) ◽  
pp. 314-321
Author(s):  
Tomas Kozel ◽  
Milos Stary

Abstract The design and evaluation of algorithms for adaptive stochastic control of reservoir function of the water reservoir using artificial intelligence methods (learning fuzzy model and neural networks) are described in this article. This procedure was tested on an artificial reservoir. Reservoir parameters have been designed to cause critical disturbances during the control process, and therefore the influences of control algorithms can be demonstrated in the course of controlled outflow of water from the reservoir. The results of the stochastic adaptive models were compared. Further, stochastic model results were compared with a resultant course of management obtained using the method of classical optimisation (differential evolution), which used stochastic forecast data from real series (100% forecast). Finally, the results of the dispatcher graph and adaptive stochastic control were compared. Achieved results of adaptive stochastic management provide inspiration for continuing research in the field.


Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 332 ◽  
Author(s):  
Caleb Amos ◽  
Ataur Rahman ◽  
John Gathenya ◽  
Eran Friedler ◽  
Fazlul Karim ◽  
...  

Food and water are at the heart of sustainable development. Roof-harvested rainwater kept in rainwater storage systems (RSS) and used in household agriculture (HA) has the potential to increase yields and supplement household nutrition. Combined systems may contribute to at least eight of the United Nations’ 17 Sustainable Development Goals (SDGs). In this paper, a daily analysis tool, ERain, is used to assess what area of vegetables can be reliably irrigated by roof-harvested rainwater. A socio-economic context is built around an orphanage in the semi-humid region of Nakuru, Kenya. Comparisons are made with the semi-arid region of East Pokot. A 225 kL closed masonry tank and a 1 ML open reservoir with an additional 8 kL/day of recycled water entering are analyzed for various roof sizes. The 225 kL RSS connected to 1000 m2 of roof and irrigating 1000 m2 could increase yields from 1850 to 4200 kg/year in Nakuru. If evaporation was controlled, the 1 mL RSS and recycled water system could support 4000 m2 of land, yielding nearly 20,000 kg/year, which is enough to meet the WHO recommended vegetable dietary requirements of the orphanage. A combination of crops, some for consumption and some for sale, could be grown.


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