scholarly journals A Study on Energy Saving of IMV Circuit using Pressure Feedback

2016 ◽  
Vol 13 (4) ◽  
pp. 31-44 ◽  
Author(s):  
Hyoung Gyu Park ◽  
Syed Abu Nahian ◽  
Kyoung Kwan Anh
Keyword(s):  
Energy Saving ◽  
Pressure Feedback

Energy Saving Matching of Power Equipment for Four-Footed Robot Dog

2014 ◽  
Vol 986-987 ◽  
pp. 1222-1225
Author(s):  
Jun Wang ◽  
Chuan Hu ◽  
You Tong Zhang
Keyword(s):  
Energy Saving ◽  
Gasoline Engine ◽  
Dynamic Performance ◽  
Bench Test ◽  
Power Equipment ◽  
Pressure Feedback ◽  
Save Energy ◽  
Pump Pressure ◽  
Experimental Bench ◽  
Fast Dynamic

To increase the flexibility performance of robot dog, dynamic performance matching of power equipment in four-footed robot dog is made. Demand for power and configure in robot dog power equipment is briefly analyzed, improved backward power match between gasoline and pump is presented, power and flow rate match between gasoline and pump is calculated, control strategy based on pump pressure feedback is applied into gasoline engine control in order to save energy. With experimental bench test, experimental results showed that energy saving matching of power equipment can meet the requirement of fast dynamic meditation for robot dog .

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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