Energy Budget for Oryzaephilus surinamensis (Coleoptera: Cucujidae) Feeding on Rolled Oats 1

1981 ◽  
Vol 10 (3) ◽  
pp. 320-326 ◽  
Author(s):  
N. D. G. White ◽  
R. N. Sinha
Keyword(s):  
Energy Budget ◽  
Oryzaephilus Surinamensis

EFFECTS OF BODYWEIGHT ON ENERGY BUDGET OF EPINEPHELUS COIOIDES

2009 ◽  
Vol 32 (6) ◽  
pp. 934-940 ◽  
Author(s):  
Shu-Feng PENG ◽  
Yun-Xin WANG ◽  
Fu-Liang YE ◽  
Hai-Fa ZHANG
Keyword(s):  
Energy Budget ◽  
Epinephelus Coioides

WHAT CAN SUBDUCTION MARGIN LAND- AND SEA-SCAPES TELL US ABOUT THE SYSTEM’S PROCESSES AND ENERGY BUDGET?

2020 ◽  
Author(s):  
Michele L. Cooke ◽  
◽  
Lucile Bruhat ◽  
Juliet Crider ◽  
Luca C. Malatesta ◽  
...  
Keyword(s):  
Energy Budget

Energy Budget for the Lizard, Anolis carolinensis

1972 ◽  
Vol 45 (2) ◽  
pp. 178-188 ◽  
Author(s):  
James F. Kitchell ◽  
John T. Windell
Keyword(s):  
Energy Budget ◽  
Anolis Carolinensis

scholarly journals Budgets of rotational and divergent kinetic energy in the warm-sector torrential rains over South China: a case study

2021 ◽  
Author(s):  
Shui-Xin Zhong ◽  
Wei-Guang Meng ◽  
Fu-You Tian
Keyword(s):  
Kinetic Energy ◽  
Energy Budget ◽  
South China ◽  
Extreme Precipitation ◽  
Flux Divergence ◽  
Low Level ◽  
Warm Sector ◽  
Kinetic Energy Budget ◽  
Rotational Components ◽  
The Pearl River

AbstractThe contributions of divergent and rotational wind components to the kinetic energy budget during a record-breaking rainstorm on 7 May 2017 over South China are examined. This warm-sector extreme precipitation caused historical maximum of 382.6 mm accumulated rainfall in 3 h over the Pearl River Delta (PRD) regions in South China. Results show that there was a high low-level southerly wind-speed tongue stretching into the PRD regions from the northeast of the South China Sea (SCS) during this extreme precipitation. The velocity potential exhibited a low-value center as well as a low-level divergence-center over the SCS. The rotational components of the kinetic energy (KR)-related terms were the main contribution-terms of the kinetic energy budget. The main contribution-terms of KR and the divergent component of kinetic energy (KD) were the barotropical and baroclinic processes-related terms due to cross-contour flow and the vertical flux divergence.

Erratum: Energy budget and core-envelope motion in common envelope evolution

2021 ◽  
Vol 501 (2) ◽  
pp. 2209-2209
Author(s):  
Luke Chamandy ◽  
Yisheng Tu ◽  
Eric G Blackman ◽  
Jonathan Carroll-Nellenback ◽  
Adam Frank ◽  
...  
Keyword(s):  
Energy Budget ◽  
Common Envelope

scholarly journals Predicting the Energy Consumption of a Robot in an Exploration Task Using Optimized Neural Networks

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 920
Author(s):  
Liesle Caballero ◽  
Álvaro Perafan ◽  
Martha Rinaldy ◽  
Winston Percybrooks
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Mobile Robot ◽  
Energy Budget ◽  
Dynamic Models ◽  
Pearson Correlation ◽  
Experimental Conditions ◽  
Grid Map ◽  
Proposed Model ◽  
Exploration Task

This paper deals with the problem of determining a useful energy budget for a mobile robot in a given environment without having to carry out experimental measures for every possible exploration task. The proposed solution uses machine learning models trained on a subset of possible exploration tasks but able to make predictions on untested scenarios. Additionally, the proposed model does not use any kinematic or dynamic models of the robot, which are not always available. The method is based on a neural network with hyperparameter optimization to improve performance. Tabu List optimization strategy is used to determine the hyperparameter values (number of layers and number of neurons per layer) that minimize the percentage relative absolute error (%RAE) while maximize the Pearson correlation coefficient (R) between predicted data and actual data measured under a number of experimental conditions. Once the optimized artificial neural network is trained, it can be used to predict the performance of an exploration algorithm on arbitrary variations of a grid map scenario. Based on such prediction, it is possible to know the energy needed for the robot to complete the exploration task. A total of 128 tests were carried out using a robot executing two exploration algorithms in a grid map with the objective of locating a target whose location is not known a priori by the robot. The experimental energy consumption was measured and compared with the prediction of our model. A success rate of 96.093% was obtained, measured as the percentage of tests where the energy budget suggested by the model was enough to actually carry out the task when compared to the actual energy consumed in the test, suggesting that the proposed model could be useful for energy budgeting in actual mobile robot applications.

scholarly journals Energy budget and carbon footprint in a wheat and maize system under ridge furrow strategy in dry semi humid areas

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Changjiang Li ◽  
Shuo Li
Keyword(s):  
Carbon Footprint ◽  
Energy Budget ◽  
Agricultural Development ◽  
Energy Use ◽  
Cropping System ◽  
Energy Output ◽  
Net Energy ◽  
Energy Productivity ◽  
Carbon Efficiency ◽  
Net Returns

AbstractThe well-irrigated planting strategy (WI) consumes a large amount of energy and exacerbates greenhouse gas emissions, endangering the sustainable agricultural production. This 2-year work aims to estimate the economic benefit, energy budget and carbon footprint of a wheat–maize double cropping system under conventional rain-fed flat planting (irrigation once a year, control), ridge–furrows with plastic film mulching on the ridge (irrigation once a year, RP), and the WI in dry semi-humid areas of China. Significantly higher wheat and maize yields and net returns were achieved under RP than those under the control, while a visible reduction was found for wheat yields when compared with the WI. The ratio of benefit: cost under RP was also higher by 10.5% than that under the control in the first rotation cycle, but did not differ with those under WI. The net energy output and carbon output followed the same trends with net returns, but the RP had the largest energy use efficiency, energy productivity carbon efficiency and carbon sustainability among treatments. Therefore, the RP was an effective substitution for well–irrigated planting strategy for achieving sustained agricultural development in dry semi-humid areas.

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