scholarly journals Assessment of the Energy Characteristic of the Terrace House

2019 ◽  
Vol 471 ◽  
pp. 052038
Author(s):  
Urszula Pawlak ◽  
Marcin Pawlak
Keyword(s):  
Energy Characteristic

A review of energy characteristic of vertical greenery systems

2014 ◽  
Vol 40 ◽  
pp. 450-462 ◽  
Author(s):  
Tabassom Safikhani ◽  
Aminatuzuhariah Megat Abdullah ◽  
Dilshan Remaz Ossen ◽  
Mohammad Baharvand
Keyword(s):  
Energy Characteristic

scholarly journals Energy characteristic of a processor allocator and a network-on-chip

2011 ◽  
Vol 21 (2) ◽  
pp. 385-399 ◽  
Author(s):  
Dawid Zydek ◽  
Henry Selvaraj ◽  
Grzegorz Borowik ◽  
Tadeusz Łuba
Keyword(s):  
Energy Characteristic ◽  
Network On Chip ◽  
Energy Model ◽  
Chip Multiprocessor ◽  
Energy Estimation ◽  
Processing Elements ◽  
Chip Processing ◽  
On Chip ◽  
Allocation Algorithms ◽  
2D Torus

Energy characteristic of a processor allocator and a network-on-chip Energy consumption in a Chip MultiProcessor (CMP) is one of the most important costs. It is related to design aspects such as thermal and power constrains. Besides efficient on-chip processing elements, a well-designed Processor Allocator (PA) and a Network-on-Chip (NoC) are also important factors in the energy budget of novel CMPs. In this paper, the authors propose an energy model for NoCs with 2D-mesh and 2D-torus topologies. All important NoC architectures are described and discussed. Energy estimation is presented for PAs. The estimation is based on synthesis results for PAs targeting FPGA. The PAs are driven by allocation algorithms that are studied as well. The proposed energy model is employed in a simulation environment, where exhaustive experiments are performed. Simulation results show that a PA with an IFF allocation algorithm for mesh systems and a torus-based NoC with express-virtual-channel flow control are very energy efficient. Combination of these two solutions is a clear choice for modern CMPs.

scholarly journals Research on Energy Transmission Mechanism of the Electro-Hydraulic Servo Pump Control System

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4869
Author(s):  
Mingkun Yang ◽  
Gexin Chen ◽  
Jianxin Lu ◽  
Cong Yu ◽  
Guishan Yan ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Control System ◽  
Energy Characteristic ◽  
Energy Transfer Efficiency ◽  
Transfer Efficiency ◽  
Volume Control ◽  
Transition Rule ◽  
Energy Transmission ◽  
Characteristic State ◽  
Hydraulic Servo

The electro-hydraulic servo pump control system (EHSPCS) is a volume control system that uses a permanent magnet synchronous motor (PMSM) with a fixed displacement pump to directly drive and control the hydraulic cylinder. The energy transmission law of the system is very complicated due to the transformation of electrical, mechanical and hydraulic energy as well as other energy fields, and qualitative analysis of the energy transfer efficiency is difficult. Energy transfer analysis of the EHSPCS under different working conditions and loads is proposed in this paper. First, the energy flow transfer mechanism was analyzed, and the mathematical and energy transfer models of the key components of the system were established to explore the energy characteristic state transition rule. Second, a power bond diagram model was built, its state equation and state matrix were deduced, and a system simulation model was built. Finally, combined with the EHSPCS experimental platform, simulation experiments were carried out on the dynamic position following and steady-state position holding conditions of the system, and the variation rules of the power of each energy characteristic state and the system energy transfer efficiency under different loads were obtained. The research results provide a foundation for the study of power matching and energy-saving mechanism of the EHSPCS.

Quantum-chemical calculation as an aid in synthesis of prostaglandins, attempt of prediction of relative stability of four stereoisomeric methyl 7-hydroxy-2-oxa-3-oxobicyclo[3.3.0]octane-6-carboxylates

1980 ◽  
Vol 45 (8) ◽  
pp. 2179-2186 ◽  
Author(s):  
Josef Kuthan ◽  
Stanislav Böhm ◽  
Jiří Mostecký
Keyword(s):  
Quantum Chemical Calculation ◽  
Relative Stability ◽  
Quantum Chemical ◽  
Energy Characteristic ◽  
Chemical Calculation ◽  
Factors Affecting ◽  
Chemical Models ◽  
Calculated Energy ◽  
Electron Distributions ◽  
Quantum Chemical Models

Partial optimization of conformation structure of quantum-chemical models of the stereoisomeric lactones I to IV has been carried out by the CNDO/2 method. The calculated energy characteristic and electron distributions have been used for discussion of some factors affecting retention of 5,6-trans-configuration in the key intermediate of prostaglandin syntheses (formulaI) with regard to conditions of the preparative experiments.

Performance of Wireless Sensor Networks for Different Mobile Event Path Scenarios

2012 ◽  
pp. 55-68
Author(s):  
Tao Yang ◽  
Gjergji Mino ◽  
Leonard Barolli ◽  
Makoto Ikeda ◽  
Fatos Xhafa ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Characteristic ◽  
Large Scale ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Movement Path ◽  
Random Movement ◽  
Simulation Results

In this paper, the authors investigate how the sensor network performs when the event moves with special movement path. Simulation results are compared with four scenarios: when the event is stationary, moving randomly, moving with simple 4 path, and boids path. The simulation results show that for the case when the event is moving randomly, the performance is the worst in the four scenarios. The characteristic of goodput decreases with the increase of number of sensor nodes. In the case of the boids model, the goodput is unstable when the is lower than 10 pps. The consumed energy characteristic increases with the increase of Simulation results show that the consumed energy of random movement is the worst among the four scenarios. The consumed energy of boids model is the lowest in four cases. This shows that the event movement with boids model can decrease the consumed energy in large scale WSNs.

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