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Yao Yu - IEEE Xplore Author Profile
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Yao Yu

Publications
3
Citations
94
Publications by Year
20162017
Co-Authors:
Show All Co-Authors (8)
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Yao Yu

Affiliation

Fujian Key Laboratory of Sensing and Computing for Smart Cities
Xiamen University
Xiamen, China

Publication Topics

Biography

Yao Yu received the B.E. degree from the Nanjing University of Science and Technology, Nanjing, China, in 2013. She is currently pursuing the Ph.D. degree with the School of Information Science and Technology, Xiamen University, Xiamen, China.,Her research interests include remote sensing image processing and road network extraction.(Based on document published on 7 December 2016).
Publications
3
Citations
94
Publications by Year
20162017
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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Optimization of Hyper-parameter for CNN Model using Genetic Algorithm

Ji-Hyun Yoo;Hyun-il Yoon;Hyeong-Gyun Kim;Hee-Seung Yoon;Seung-Soo Han

2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)
Year: 2019 | Conference Paper |
Cited by: Papers (12)
Recently CNN is not only widely used in the field of image recognition but also used in various fields such as classifying vibration data. Therefore, increasing the performance of CNN models is becoming more important. One of the various methods to improve the performance of CNN models is to optimize hyper-parameters. This paper presents a method for optimizing the hyper-parameters of CNN models t...Show More

Optimization of Hyper-parameter for CNN Model using Genetic Algorithm

Ji-Hyun Yoo;Hyun-il Yoon;Hyeong-Gyun Kim;Hee-Seung Yoon;Seung-Soo Han

Year: 2019 | Conference Paper |

Clustering Parameter Optimization of Predictive Maintenance Algorithm for Semiconductor Equipment Using One-way Factorial Design

Hee-Seung Yoon;Seung-Soo Han

2019 19th International Conference on Control, Automation and Systems (ICCAS)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
In this paper, the predictive maintenance(PdM) technology was applied to the semiconductor manufacturing equipment and the DBSCAN algorithm parameters were optimized. The data obtained from the semiconductor equipment was obtained using acceleration sensors and was used to determine the conditions of the equipment. To simulate the malfunction condition of the equipment, the virtual error data was ...Show More

Clustering Parameter Optimization of Predictive Maintenance Algorithm for Semiconductor Equipment Using One-way Factorial Design

Hee-Seung Yoon;Seung-Soo Han

Year: 2019 | Conference Paper |

Development of Predictive Maintenance Technology for Wafer Transfer Robot using Clustering Algorithm

Hyeong-Gyun Kim;Hee-Seung Yoon;Ji-Hyun Yoo;Hyun-Il Yoon;Seung-Soo Han

2019 International Conference on Electronics, Information, and Communication (ICEIC)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
Semiconductor equipment is closely related to production yield and should be periodically inspected to maintain the performance. However, traditional equipment maintenance methods have difficulty responding to sudden failures and economic losses due to unpredicted situation. Recently, predictive maintenance technologies have been actively studied, with many advantages, such as the ability to predi...Show More

Development of Predictive Maintenance Technology for Wafer Transfer Robot using Clustering Algorithm

Hyeong-Gyun Kim;Hee-Seung Yoon;Ji-Hyun Yoo;Hyun-Il Yoon;Seung-Soo Han

Year: 2019 | Conference Paper |

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