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- 2023 Inter-Ministry Public Technology Transfer Commercialization Roadshow (2023.09.12)
- 2023 Inter-Ministry Public Technology Transfer Commercialization Roadshow At the '2023 Inter-Ministry Public Technology Transfer Commercialization Roadshow', Professor Joon Sang Lee's research team from Department of Mechanical Engineering made a significant impact. The team participated in this prestigious event, funded by nine governmental departments including the Ministry of Science and ICT, Ministry of Trade, Industry and Energy, and the Korean Intellectual Property Office. The team showcased six innovative products, including 'CARDIOS', an AI-based cardiovascular risk automatic prediction diagnostic device, 'MIASfacial', a system for predicting the quantity of filler injections for facial asymmetry, and 'N-UDS', a non-invasive urodynamics system. These groundbreaking technologies drew significant attention for their excellence, leading to the team being exclusively interviewed by YTN, a notable achievement among the participating companies. The link: https://www.youtube.com/watch?v=j06IY06L6Sg&t=1s
- 기계공학부 2023.11.17
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117
- Dr. Yunsung Kang, appointment as a full-time professor at Kyungpook National University (2023.09.01)
- Dr. Yunsung Kang, appointment as a full-time professor at Kyungpook National University (2023.09.01) Dr. Yunsung Kang, who obtained a Ph.D. from the laboratory of Professor Jongbaeg Kim of the Department of Mechanical Engineering and served as a post-doctoral researcher in the same laboratory, was appointed as a professor of the Department of Precision Mechanical Engineering at Kyungpook National University in September 2023. While serving as a postdoctoral researcher, Dr. Yunsung Kang has published several top-level SCI papers, including highly regarded journals such as Applied Surface Science and ACS Sensors. The link: https://sites.google.com/view/knuamtl
- 기계공학부 2023.09.20
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116
- Development of Estimation Algorithm for Object Surface Normals Using Event Cameras (2023.08.30)
- Development of Estimation Algorithm for Object Surface Normals Using Event Cameras Professor Jae-Sang Hyun from the Department of Mechanical Engineering partnered with researchers from Korea University's Department of Artificial Intelligence to conduct a study titled "Event fusion photometric stereo network." Their groundbreaking research, which developed an algorithm that integrates event cameras with standard RGB cameras for enhanced dynamic range, enables precise estimation of an object's surface normal vectors even in conditions with ambient lighting. The findings have been published in the journal of 'Neural Networks'on artificial intelligence (Impact Factor: 7.8). The link: https://doi.org/10.1016/j.neunet.2023.08.009
- 기계공학부 2023.09.20
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115
- International Conference on Mechanical Manufacturing and Industrial Engineering (MMIE 2023) excellent oral presentation
- International Conference on Mechanical Manufacturing and Industrial Engineering (MMIE 2023) excellent oral presentation award At the International Conference on Mechanical Manufacturing and Industrial Engineering (MMIE 2023), held from August 23 to 25, 2023, in Tokyo, Japan, Soon Wook Kwon received an excellent oral presentation award on the topic of 'Physics-added neural networks (PANNs): A novel method to embed physics in image-to-image translation for inkjet printing system'. The proposed PANNs is a neural network model that incorporates physics into deep learning, which shortens learning time and dramatically improves accuracy compared to conventional deep learning. The study was published in July in the journal Additive Manufacturing. The link: https://authors.elsevier.com/a/1hJls7tcTWlNh0, http://www.mmie.org/
- 기계공학부 2023.09.20
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114
- Enhancement of Supercapacitor performance via Ag nano particle doping and characterization through Density Functional Th
- Enhancement of Supercapacitor performance via Ag nano particle doping and characterization through Density Functional Theory (DFT) The research team of Professor Seong Chan Jun and Keonwook Kang in the Department of Mechanical Engineering collaborated to develop supercapacitor electrode with high electrical conductivity and cycling stability. This research was published in 'Advanced Functional Materials,' a prestigious academic journal in the field of materials science and engineering, in July 2023 (Impact Factor: 19.0, top 4.2%). In this paper, we improved the factors causing degradation in the electrochemical performance of supercapacitors, such as charge transport and structural stability, by doping Ag nanoparticles into the electrode. The impact of Ag nanoparticle doping on electrochemical properties was elucidated through an analysis of the material's electronic structure using Density Funtional Theory(DFT). The link: doi.org/10.1002/adfm.202305264
- 기계공학부 2023.09.20
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113
- Noninvasive Monitoring of the Core Body Temperature at the Forearm through the Quantitative Measurement of Blood Perfusi
- Noninvasive Monitoring of the Core Body Temperature at the Forearm through the Quantitative Measurement of Blood Perfusion Rate Research findings related to the development of a sensor for noninvasive core body tissue temperature and blood perfusion measurement at the forearm by Professor Woochul Kim's research team were published in the international scientific journal 'ACS Sensors' in July 2023 (Impact Factor: 8.9, Top 4.1% in the field) and featured on the front cover. In this study, a device was developed to measure skin temperature, heat flux, and blood perfusion at the forearm using a sinusoidal heating method and monitor core body temperature. The link: https://doi.org/10.1021/acssensors.3c00273
- 기계공학부 2023.09.20
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112
- High-Temperature-Operable Electromechanical Computing Units Enabled by Aligned Carbon Nanotube Arrays (2023.07.25)
- High-Temperature-Operable Electromechanical Computing Units Enabled by Aligned Carbon Nanotube Arrays Professor Jongbaeg Kim's (left) research team demonstrated 'contact-based micro-electro-mechanical switches and computing units for high-temperature operation'. This study was published in 'ACS Nano', an international journal in the field of nano/materials( Impact Factor: 17.2, top 5.8%). A vertically aligned nanotube bundle was integrated as a contact material for micro-electro-mechanical electronic switches, which was capable of operating at up to 550 degrees. Research professor Eunhwan Jo (right) led the research under supervision of Professor Jongbaeg Kim. This research are expected to contribute to the development of micro devices and integrated circuits capable of operating at high temperatures. *This research was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT). The link: https://doi.org/10.1021/acsnano.3c01304
- 기계공학부 2023.08.10
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111
- Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous
- Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations Professor Jongeun Choi's research team in the Department of Mechanical Engineering conducted a study on algorithm robust to noise and extrinsic perturbation by combining the advantages of distributed reinforcement learning and hierarchical reinforcement learning. This study was published in the journal of 'Engineering Applications of Artificial Intelligence' (Impact Factor: 8.000, top 5.55%, Volume 123) in May 2023. In this paper, our approach demonstrates promising results in handling uncertainties caused by noise and perturbations for challenging sparse-reward tasks, and could potentially pave the way for the development of more robust and effective reinforcement learning algorithms in real physical systems. The link: doi.org/10.1016/j.engappai.2023.106465
- 기계공학부 2023.08.10
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110
- Physics-added neural networks: An image-based deep learning for material printing system (2023.07.05)
- Physics-added neural networks: An image-based deep learning for material printing system Professor Joon Sang Lee's the division of inkjet printing solution research team in the Department of Mechanical Engineering proposed the physics-added neural networks (PANNs) to improve training efficiency and accuracy by adding physics in inkjet printing system. The research paper is published in the journal of 'Additive Manufacturing' (Impact factor: 13.632, top 0.98%, Volume 73) in July 2023. In this paper, PANNs was adopted in inkjet printing optimization where thermal effect is applied. The link: https://authors.elsevier.com/a/1hJls7tcTWlNh0, DOI: doi.org/10.1016/j.addma.2023.103668
- 기계공학부 2023.07.19
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109
- Improving EV safety by identifying thermal runaway mechanisms in high nickel-based Lithium-ion batteries (2023.06.27)
- Improving EV safety by identifying thermal runaway mechanisms in high nickel-based Lithium-ion batteries A research team led by Professor Jongsup Hong of the Department of Mechanical Engineering has developed an original technology to improve the safety of lithium-ion batteries based on high-nickel cathode materials, which have been receiving increasing attention for improving the range of electric vehicles amid the rapid transition to vehicle electrification and the widespread adoption of electric vehicles. The research was published in the Chemical Engineering Journal (Impact Factor: 15.1, Top 3.2%, Volume 471), a top journal in the field of thermal and reaction engineering, in July 2023. In this paper, we identified the thermal runaway mechanism of lithium-ion batteries based on high-nickel cathode materials by considering the phenomena occurring at each electrode individually through a combination experiment between materials, and developed a reliable model to increase the utilization of the mechanism, paving the way for improving the safety of electric vehicles. The link: https://doi.org/10.1016/j.cej.2023.144434
- 기계공학부 2023.07.19