Synthetic control of composition and crystallite size of silver ferrite composites: profound electrochemistry impacts

2015 ◽  
Vol 51 (24) ◽  
pp. 5120-5123 ◽  
Author(s):  
Jessica L. Durham ◽  
Kevin Kirshenbaum ◽  
Esther S. Takeuchi ◽  
Amy C. Marschilok ◽  
Kenneth J. Takeuchi
Keyword(s):  
Crystallite Size ◽  
Lithium Battery ◽  
Synthetic Control ◽  
New Paradigm ◽  
Battery Capacity ◽  
Ferrite Composites

A new paradigm for concomitant control of crystallite size and composition of bimetallic (AgxFeO2) composites increases lithium battery capacity ∼200%.

Chemical rate phenomenon approach applied to lithium battery capacity fade estimation

2016 ◽  
Vol 64 ◽  
pp. 134-139 ◽  
Author(s):  
I. Baghdadi ◽  
O. Briat ◽  
J.Y. Delétage ◽  
P. Gyan ◽  
J.M. Vinassa
Keyword(s):  
Lithium Battery ◽  
Capacity Fade ◽  
Battery Capacity ◽  
Chemical Rate

scholarly journals Synthetic Control of Crystallite Size of Silver Vanadium Phosphorous Oxide (Ag0.50VOPO4·1.9H2O): Impact on Electrochemistry

2017 ◽  
Vol 164 (6) ◽  
pp. A1213-A1219
Author(s):  
Matthew M. Huie ◽  
Amy C. Marschilok ◽  
Esther S. Takeuchi ◽  
Kenneth J. Takeuchi
Keyword(s):  
Crystallite Size ◽  
Synthetic Control ◽  
Silver Vanadium Phosphorous Oxide

A Voltage Control Algorithm for Multiprocessor System Based on the Lithium Battery Discharge Characteristics

2013 ◽  
Vol 278-280 ◽  
pp. 1541-1546
Author(s):  
Hai Bo Zhao ◽  
Shen Xu
Keyword(s):  
Control Algorithm ◽  
Lithium Battery ◽  
Task Assignment ◽  
Multiprocessor System ◽  
Discharge Characteristics ◽  
Battery Capacity ◽  
Simulation Results ◽  
Two Phases ◽  
Battery Discharge ◽  
Battery Discharge Characteristics

The more and more extensive application of multiprocessor system to mobile devices has been achieved. The battery-aware voltage scaling algorithm for multiprocessor system was addressed in order to minimize the battery capacity consumption. The proposed algorithm generated task schedule by task assignment, discharge judgment and slack allocation. Based on the characteristic that the battery discharge could be divided into linear discharge and nonlinear discharge two phases, the slack was distributed by different manners during different discharge phases. The simulation results show that battery capacity consumption for the algorithm has relations with battery nonlinearity.

scholarly journals Efficient Multi-Player Computation Offloading for VR Edge-Cloud Computing Systems

2020 ◽  
Vol 10 (16) ◽  
pp. 5515 ◽  
Author(s):  
Abdullah Alshahrani ◽  
Ibrahim A. Elgendy ◽  
Ammar Muthanna ◽  
Ahmed Mohammed Alghamdi ◽  
Adel Alshamrani
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Low Complexity ◽  
Computation Offloading ◽  
Low Latency ◽  
Integer Optimization ◽  
New Paradigm ◽  
Efficient Manner ◽  
Battery Capacity ◽  
Network Latency

Virtual reality (VR) is considered to be one of the main use cases of the fifth-generation cellular system (5G). In addition, it has been categorized as one of the ultra-low latency applications in which VR applications require an end-to-end latency of 5 ms. However, the limited battery capacity and computing resources of mobile devices restrict the execution of VR applications on these devices. As a result, mobile edge-cloud computing is considered as a new paradigm to mitigate resource limitations of these devices through computation offloading process with low latency. To this end, this paper introduces an efficient multi-player with multi-task computation offloading model with guaranteed performance in network latency and energy consumption for VR applications based on mobile edge-cloud computing. In addition, this model has been formulated as an integer optimization problem whose objective is to minimize the sum cost of the entire system in terms of network latency and energy consumption. Afterwards, a low-complexity algorithm has been designed which provides comprehensive processes for deriving the optimal computation offloading decision in an efficient manner. Furthermore, we provide a prototype and real implementation for the proposed system using OpenAirInterface software. Finally, simulations have been conducted to validate our proposed model and prove that the network latency and energy consumption can be reduced by up to 26.2%, 27.2% and 10.9%, 12.2% in comparison with edge and cloud execution, respectively.

scholarly journals Synthetic control of manganese birnessite: Impact of crystallite size on Li, Na, and Mg based electrochemistry

2016 ◽  
Vol 453 ◽  
pp. 230-237 ◽  
Author(s):  
Jiefu Yin ◽  
Esther S. Takeuchi ◽  
Kenneth J. Takeuchi ◽  
Amy C. Marschilok
Keyword(s):  
Crystallite Size ◽  
Synthetic Control

scholarly journals Synthetic Control of Composition and Crystallite Size of Silver Hollandite, AgxMn8O16: Impact on Electrochemistry

2012 ◽  
Vol 4 (10) ◽  
pp. 5547-5554 ◽  
Author(s):  
Kenneth J. Takeuchi ◽  
Shali Z. Yau ◽  
Melissa C. Menard ◽  
Amy C. Marschilok ◽  
Esther S. Takeuchi
Keyword(s):  
Crystallite Size ◽  
Synthetic Control
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