A Multi-Objective Evolutionary Optimization Framework for a Natural Gas Liquids Recovery Unit

Author(s):  
Santiago D. Salas ◽  
Lizbeth Contreras-Salas ◽  
Pamela Rubio-Dueñas ◽  
Jorge Chebeir ◽  
José A. Romagnoli
Author(s):  
Jianjun Hu ◽  
Kisung Seo ◽  
Zhun Fan ◽  
Ronald C. Rosenberg ◽  
Erik D. Goodman

2021 ◽  
Vol 297 ◽  
pp. 126625
Author(s):  
Ernesto Santibanez-Borda ◽  
Anna Korre ◽  
Zhenggang Nie ◽  
Sevket Durucan

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2775
Author(s):  
Tsubasa Takano ◽  
Takumi Nakane ◽  
Takuya Akashi ◽  
Chao Zhang

In this paper, we propose a method to detect Braille blocks from an egocentric viewpoint, which is a key part of many walking support devices for visually impaired people. Our main contribution is to cast this task as a multi-objective optimization problem and exploits both the geometric and the appearance features for detection. Specifically, two objective functions were designed under an evolutionary optimization framework with a line pair modeled as an individual (i.e., solution). Both of the objectives follow the basic characteristics of the Braille blocks, which aim to clarify the boundaries and estimate the likelihood of the Braille block surface. Our proposed method was assessed by an originally collected and annotated dataset under real scenarios. Both quantitative and qualitative experimental results show that the proposed method can detect Braille blocks under various environments. We also provide a comprehensive comparison of the detection performance with respect to different multi-objective optimization algorithms.


Author(s):  
Wanliang Wang ◽  
Guoqing Li ◽  
Yule Wang ◽  
Fei Wu ◽  
Weiwei Zhang ◽  
...  

2021 ◽  
Vol 47 ◽  
pp. 101394
Author(s):  
Fuqiang Guo ◽  
Yan Li ◽  
Zheng Xu ◽  
Jinghan Qin ◽  
Liming Long

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