Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Yi Zeng Hsieh"'
Autor:
Naomi A. Ubina, Hsun-Yu Lan, Shyi-Chyi Cheng, Chin-Chun Chang, Shih-Syun Lin, Kai-Xiang Zhang, Hoang-Yang Lu, Chih-Yung Cheng, Yi-Zeng Hsieh
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100285- (2023)
This paper focuses on designing a Digital Twin infrastructure that supports an agile-based Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in aquaculture. Our infrastructure includes the Internet of Things, cloud
Externí odkaz:
https://doaj.org/article/ec7602dcc858424582628dfafea2df91
Publikováno v:
IEEE Sensors Journal. 23:758-765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c6d0d96ffdd05b89e71b9b40103c38
https://doi.org/10.1109/jsen.2022.3222332
https://doi.org/10.1109/jsen.2022.3222332
Publikováno v:
Computer Science & Information Systems; Apr2024, Vol. 21 Issue 2, pi-v, 5p
Autor:
Yi-Zeng Hsieh, Yu-Lin Jeng
Publikováno v:
IEEE Access, Vol 6, Pp 6048-6057 (2018)
Fall events are important health issues in elderly living environments such as homes. Hence, a confident and real-time video surveillance device that pays attention could better their everyday lives. We proposed an optical flow feedback convolutional
Externí odkaz:
https://doaj.org/article/71696bc1b3b3488391d079da8272a84d
Publikováno v:
IEEE Access, Vol 6, Pp 64406-64415 (2018)
Permeable concrete is widely used as a road surfacing material due to its sturdiness and ability to be quickly repaired. The porosity of concrete has been used as a predictive indicator for the properties of the concrete. Traditional methods for meas
Externí odkaz:
https://doaj.org/article/b86b4fc05df44055b9d6a39277a45c94
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 9976 (2021)
Mobile Edge Computing and Communication (MECC) can be deployed in close proximity with sensing devices and act as middleware between cloud and local networks. The health and fitness movement has become extremely popular recently. Endurance activities
Externí odkaz:
https://doaj.org/article/e98c7d83fa6f4b1baf7a387613d39e12
Publikováno v:
Mathematics, Vol 9, Iss 16, p 1880 (2021)
In this study, we use OpenPose to capture many facial feature nodes, create a data set and label it, and finally bring in the neural network model we created. The purpose is to predict the direction of the person’s line of sight from the face and f
Externí odkaz:
https://doaj.org/article/26dbc2ed70ce4f61821f45854a31a10b
Publikováno v:
Energies, Vol 14, Iss 15, p 4423 (2021)
This study uses deep learning to model the discharge characteristic curve of the lithium-ion battery. The battery measurement instrument was used to charge and discharge the battery to establish the discharge characteristic curve. The parameter metho
Externí odkaz:
https://doaj.org/article/15cbe86ea3dd4d8d96c9821d19d9266e
Autor:
Yi-Zeng Hsieh, Shih-Syun Lin, En-Yu Chang, Kwong-Kau Tiong, Shih-Wei Tan, Chiou-Yi Hor, Shyi-Chy Cheng, Yu-Shiuan Tsai, Chao-Rong Chen
Publikováno v:
Energies, Vol 14, Iss 14, p 4125 (2021)
The focus of this study is under the auspices of China Steel Corporation, Taiwan, in carrying out the national energy policy of 2025 Non-Nuclear Home. Under this policy, an estimated 600 offshore wind turbines will be installed by 2025. In order to c
Externí odkaz:
https://doaj.org/article/9c0edeffac4647229bf54e3b47be2bd5
Publikováno v:
IEEE Access, Vol 5, Pp 20036-20045 (2017)
Owing to many appealing properties, neural networks provide a natural basis for solving different kinds of problems. The performance of neural networks greatly depends on whether they can provide appealing solutions to the problems of the parameter l
Externí odkaz:
https://doaj.org/article/ae055b86491149aeacdc6b90381dd139