Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Kyoung-Nam Ha"'
Publikováno v:
IEEE Access, Vol 8, Pp 193347-193355 (2020)
This paper presents the system, controller, and field test results of an unmanned marine vehicle (UMV) developed to acquire real-time ocean exploration information. The system consists of an unmanned surface vehicle (USV), an unmanned underwater vehi
Externí odkaz:
https://doaj.org/article/7929cc360baf41f08536c76e60da7f08
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 28:542-550
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76f0f2700c5a494d12aceb2c183a9cad
https://doi.org/10.5302/j.icros.2022.22.0046
https://doi.org/10.5302/j.icros.2022.22.0046
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 5, p 318 (2020)
This paper describes a study on the dynamic modeling and the motion simulation of an unmanned ocean platform to overcome the limitations of existing unmanned ocean platforms for ocean exploration. The proposed unmanned ocean vehicle combines an unman
Externí odkaz:
https://doaj.org/article/467fe2f146c443be84e01dd27c571397
Publikováno v:
Journal of Korea Robotics Society. 15:32-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04b2b8d98e589d7f9cd95c461f733e1
https://doi.org/10.7746/jkros.2020.15.1.032
https://doi.org/10.7746/jkros.2020.15.1.032
Publikováno v:
IEEE Access, Vol 8, Pp 193347-193355 (2020)
This paper presents the system, controller, and field test results of an unmanned marine vehicle (UMV) developed to acquire real-time ocean exploration information. The system consists of an unmanned surface vehicle (USV), an unmanned underwater vehi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::140da2f3d14a8739c9868ac4a1ac8ac9
https://ieeexplore.ieee.org/document/9229418/
https://ieeexplore.ieee.org/document/9229418/
Publikováno v:
2021 21st International Conference on Control, Automation and Systems (ICCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b19c5daec7b2c5db09767c3abb8e4427
https://doi.org/10.23919/iccas52745.2021.9649979
https://doi.org/10.23919/iccas52745.2021.9649979
Publikováno v:
Proceedings of Engineering and Technology Innovation, Vol 12, Pp 35-38 (2019)
Continued investment in Research and Development (R&D) by the government and corporate support played a major role in the rapid growth of the Republic of Korea. In 2017, the amount of R&D investment by the government accounted for 19.7 trillion Won (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::3dc786bd94bd91d9e0a218673139e54e
http://ojs.imeti.org/index.php/PETI/article/view/2905
http://ojs.imeti.org/index.php/PETI/article/view/2905
Publikováno v:
Proceedings of Engineering and Technology Innovation, Vol 12, Pp 21-25 (2019)
In general, only six individual thrusters are required to perform 6 DOF (Degree Of Freedom) motion. Sometimes, however, more than six thrusters are used for 6 DOF motion for a variety of purposes. The over actuated systems can transit quickly from tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::fb8becce1db4074dd72668f212eaa662
http://ojs.imeti.org/index.php/PETI/article/view/2746
http://ojs.imeti.org/index.php/PETI/article/view/2746
Automatic FIBEX Generation for Migration from CAN Message Description Format to Flexray Fibex Format
Publikováno v:
Intelligent Automation & Soft Computing. :1-9
Recently, FlexRay was developed to replace the controller area network (CAN) protocol in the chassis network systems to provide high-speed data transmission as well as hardware redundancy for safety. However, FlexRay network design is more complicate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966399a8f615d044ff7233ca6c5077a5
https://doi.org/10.1080/10798587.2017.1302712
https://doi.org/10.1080/10798587.2017.1302712
Publikováno v:
2019 19th International Conference on Control, Automation and Systems (ICCAS).
This paper proposes a novel data augmentation method for enhancing the performance of deep-learning-based object detection in underwater environments. With deep-learning-based methods, system performance is highly dependent on the learning dataset. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca2b08aa129d3052ddf312687a0e086
https://doi.org/10.23919/iccas47443.2019.8971728
https://doi.org/10.23919/iccas47443.2019.8971728