Using big data for last mile performance evaluation: An accessibility-based approach

2021 ◽  
Vol 25 ◽  
pp. 153-163
Author(s):  
Si Chen ◽  
Xiang Yan ◽  
Haozhi Pan ◽  
Brian Deal
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Last Mile

scholarly journals Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Huashan Zhan
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Research Method ◽  
Landscape Design ◽  
Simulation System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Bp Network ◽  
Performance Evaluation Index ◽  
Interactive Application

In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.

scholarly journals A big data approach for worker’s performance evaluation in IoT-enabled manufacturing shopfloors

Procedia CIRP ◽  
2021 ◽  
Vol 104 ◽  
pp. 271-275
Author(s):  
Ng Chi Sang ◽  
Yee Wai Lok ◽  
Ray Y. Zhong
Keyword(s):  
Big Data ◽  
Performance Evaluation

Performance Evaluation of Protocols for Big Data Transfers

Big Data ◽  
2016 ◽  
pp. 43-95
Author(s):  
Se-young Yu ◽  
Nevil Brownlee ◽  
Aniket Mahanti
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Data Transfers

scholarly journals Research Performance Evaluation in China: A Big Data Analysis

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401990125 ◽  
Author(s):  
Guangchao Charles Feng
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Research Funding ◽  
Research Performance ◽  
Big Data Analysis ◽  
Scientific Achievement ◽  
Research Practice ◽  
International Attention ◽  
Bibliometric Measures ◽  
Research Performance Evaluation

China’s scientific achievement has received considerable international attention due to a large amount of research and development (R&D) spending. This article aims to study the performance of China’s R&D expenditures (in the form of research funding) by examining the research performance of individual researchers based on bibliometric measures. This study concludes that research practice is not merely determined by capital possessed. Besides, international collaboration primarily accounts for research performance of scholars, whereas research funding and publishing in Chinese-based journals do not impact research performance significantly.

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