scholarly journals Energy Evaluation Model for an Improved Centralized Clustering Hierarchical Algorithm in WSN

2013 ◽  
pp. 154-167 ◽  
Author(s):  
Mian Ahmad Jan ◽  
Priyadarsi Nanda ◽  
Xiangjian He
Keyword(s):  
Evaluation Model ◽  
Hierarchical Algorithm ◽  
Energy Evaluation

scholarly journals Application of TOPSIS Method Based on Entropy Weight -Delphi in the Evaluation of Teachers’ “double-qualified” Ability

2020 ◽  
Vol 165 ◽  
pp. 06050
Author(s):  
Weixia Wang ◽  
He Jun
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Topsis Method ◽  
Entropy Weight ◽  
Chinese Library Classification ◽  
Evaluation Indexes ◽  
Energy Evaluation ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

In order to improve the rationality and fairness of Teachers’ “Double-qualified” Ability, the article establishes an evaluation model based on 14 evaluation indexes of teachers’ “double-qualified” ability. it adopts Delphi - entropy weight method to weight the evaluation index, and then combines TOPSIS method to evaluate the evaluation object. In the evaluation of TOPSIS method, the traditional TOPSIS weight method was improved, and the entropy weight-delphi method was used to determine the index weight, which was a combination of subjective and objective, making the evaluation system more objective, scientific and reasonable.It not only avoids the subjectivity of decision makers and limitations, but also eliminates the phenomenon of indexes in common impact assessment results and finally applies it to a university teacher “Double division and triple energy” evaluation system, to provide theoretical basis and feasibility analysis for the “double type” teachers team construction. Chinese library classification number: O224 Document identification code: A

scholarly journals Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianhao Gao
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Service Composition ◽  
Evaluation Model ◽  
Green Energy ◽  
The Internet ◽  
Energy Evaluation ◽  
Internet Of Things Environment ◽  
Qos Evaluation ◽  
The Internet Of Things

With the rapid development of Internet of Things (IoT) technology, the energy consumption of service composition in the IoT environment is a key problem to be studied. At present, the problems of service composition in the IoT environment mostly focus on the evaluation research based on quality of service (QoS), ignoring the overall energy consumption in the process of dynamic configuration of service composition. Therefore, we construct the service composition structure for the IoT and propose the QoS evaluation model and energy evaluation model for the service composition in the IoT environment. Considering that the service composition in the Internet of things environment is NP hard, moth algorithm (MFO) is successfully applied to the QoS evaluation model and energy evaluation model. The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.

scholarly journals Design and Performance of Test Cells as an Energy Evaluation Model of Facades in a Mediterranean Building Area

Energies ◽  
2017 ◽  
Vol 10 (11) ◽  
pp. 1816 ◽  
Author(s):  
Ángel Luis León-Rodríguez ◽  
Rafael Suárez ◽  
Pedro Bustamante ◽  
Miguel Ángel Campano ◽  
David Moreno-Rangel
Keyword(s):  
Evaluation Model ◽  
Energy Evaluation ◽  
Building Area ◽  
Test Cells ◽  
And Performance

scholarly journals An Optimal Train Speed Profile Planning Method for Induction Motor Traction System

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5153
Author(s):  
Ziyu Wu ◽  
Chunhai Gao ◽  
Tao Tang
Keyword(s):  
Induction Motor ◽  
Evaluation Model ◽  
Planning Method ◽  
Speed Profile ◽  
Optimal Speed ◽  
Energy Evaluation ◽  
Proposed Model ◽  
New Energy ◽  
Train Speed ◽  
Traction System

Optimizing the operating speed curve of trains without adding new energy storage facilities is essential in the energy-saving operation of railways. In this paper, we propose an optimal train speed curve planning method for driving trains more energy efficiently. A refined traction energy evaluation model for induction motor propulsion systems is first presented. The proposed model considers the efficiency of the traction motor at different operating points and the efficiency of the inverter and gearbox. Then, the optimal energy-efficient speed profile problem is transformed into a multistep decision problem and solved using dynamic programming (DP). To verify the effectiveness of the proposed method, a case study was conducted on an actual subway line. The results obtained indicate that the speed curve produced by the proposed method results in a 20% energy consumption saving compared with the speed curve for actual operations. Furthermore, the results of comparison with a genetic algorithm indicate that the DP algorithm is better able to satisfy the constraints of the train traction system. Solving the optimal speed curve using the proposed method and programming the onboard controller of the train according to the optimal speed curve enables the train to be driven with greater energy efficiency.

Moving From Interprofessional Education Toward Interprofessional Practice: Bridging the Translation Gap

2019 ◽  
Vol 4 (5) ◽  
pp. 971-976
Author(s):  
Imran Musaji ◽  
Trisha Self ◽  
Karissa Marble-Flint ◽  
Ashwini Kanade
Keyword(s):  
Interprofessional Education ◽  
Interprofessional Collaboration ◽  
Evaluation Model ◽  
Implementation Strategies ◽  
Future Research ◽  
Successful Implementation ◽  
Interprofessional Practice ◽  
Translational Model ◽  
Key Stakeholders ◽  
Clear Identification

Purpose The purpose of this article was to propose the use of a translational model as a tool for identifying limitations of current interprofessional education (IPE) research. Translational models allow researchers to clearly define next-step research needed to translate IPE to interprofessional practice (IPP). Method Key principles, goals, and limitations of current IPE research are reviewed. A popular IPE evaluation model is examined through the lens of implementation research. The authors propose a new translational model that more clearly illustrates translational gaps that can be used to direct future research. Next steps for translating IPE to IPP are discussed. Conclusion Comprehensive reviews of the literature show that the implementation strategies adopted to date have fostered improved buy-in from key stakeholders, as evidenced by improved attitudes and perceptions toward interprofessional collaboration/practice. However, there is little evidence regarding successful implementation outcomes, such as changed clinician behaviors, changed organizational practices, or improved patient outcomes. The authors propose the use of an IPE to IPP translational model to facilitate clear identification of research gaps and to better identify future research targets.

Sign in / Sign up

Export Citation Format

Share Document