scholarly journals Design Aid of Multi-core Embedded Systems with Energy Model

2014 ◽  
Vol 7 (0) ◽  
pp. 122-131 ◽  
Author(s):  
Takashi Nakada ◽  
Kazuya Okamoto ◽  
Toshiya Komoda ◽  
Shinobu Miwa ◽  
Yohei Sato ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Energy Model

Development of embedded systems to control toxic compounds in textile industries

2012 ◽  
Vol 1 (5) ◽  
pp. 115-117
Author(s):  
Jahnavi KRM Jahnavi KRM ◽  
◽  
Raghavendra Rao K ◽  
Padma Suvarna R
Keyword(s):  
Embedded Systems ◽  
Toxic Compounds ◽  
Textile Industries

Proposal and Evaluation of Mutual Exclusion Method using Lock-free Algorism for Embedded Systems using Multi-core Processor

2019 ◽  
Vol 139 (7) ◽  
pp. 802-811
Author(s):  
Kenta Fujimoto ◽  
Shingo Oidate ◽  
Yuhei Yabuta ◽  
Atsuyuki Takahashi ◽  
Takuya Yamasaki ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Mutual Exclusion ◽  
Exclusion Method ◽  
Multi Core Processor

Towards Okinawa-style Robot-embedded Systems

2013 ◽  
Vol 133 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Takashi Anezaki ◽  
Suriyon Tansuriyavong ◽  
Chikatoshi Yamada
Keyword(s):  
Embedded Systems

Hydrogen Atom Transfer Reaction Free Energy as a Predictor of Abiotic Nitroaromatic Reduction Rate Constants: A Comprehensive Analysis

2019 ◽  
Author(s):  
Dominic Di Toro ◽  
Kevin P. Hickey ◽  
Herbert E. Allen ◽  
Richard F. Carbonaro ◽  
Pei C. Chiu
Keyword(s):  
Free Energy ◽  
Hydrogen Atom ◽  
Hydrogen Atom Transfer ◽  
Energy Model ◽  
Second Order ◽  
Transfer Model ◽  
Atom Transfer ◽  
Order Rate ◽  
Linear Free Energy ◽  
Free Energy Model

<div>A linear free energy model is presented that predicts the second order rate constant for the abiotic reduction of nitroaromatic compounds (NACs). For this situation previously presented models use the one electron reduction potential of the NAC reaction. If such value is not available, it has been has been proposed that it could be computed directly or estimated from the electron affinity (EA). The model proposed herein uses the Gibbs free energy of the hydrogen atom transfer (HAT) as the parameter in the linear free energy model. Both models employ quantum chemical computations for the required thermodynamic parameters. The available and proposed models are compared using second order rate constants obtained from five investigations reported in the literature in which a variety of NACs were exposed to a variety of reductants. A comprehensive analysis utilizing all the NACs and reductants demonstrate that the computed hydrogen atom transfer model and the experimental one electron reduction potential model have similar root mean square errors and residual error probability distributions. In contrast, the model using the computed electron affinity has a more variable residual error distribution with a significant number of outliers. The results suggest that a linear free energy model utilizing computed hydrogen transfer reaction free energy produces a more reliable prediction of the NAC abiotic reduction second order rate constant than previously available methods. The advantages of the proposed hydrogen atom transfer model and its mechanistic implications are discussed as well.</div>

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