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- Development of Individually-addressable Composite Microneedle Electrode Array by Mold-and-Place Method for Glucose Detec
- Development of Individually-addressable Composite Microneedle Electrode Array by Mold-and-Place Method for Glucose Detection The research team, led by Professor WonHyoung Ryu from the Department of Mechanical Engineering (the first author of this study is Jeongmin Kim), has developed an individually addressable composite microneedle electrode array by mold-and-place method and utilized the device for glucose detection. It demonstrated that this composite microneedle electrode can be modified through multiple surface modification processes so that it can efficiently react with hydrophilic biomolecules, such as glucose. This research has been accepted in the renowned international academic journal 'Sensors and Actuators B - Chemical' (Impact factor: 8.4) in October 2023. The link: https://www.sciencedirect.com/science/article/pii/S0925400523016027
- 기계공학부 2023.11.17
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123
- Improving electrochemical performance of practical high-temperature solid oxide cells with atomically dispersed platinum
- Improving electrochemical performance of practical high-temperature solid oxide cells with atomically dispersed platinum electrocatalysts supported on gadolinia doped ceria Professor Jongsup Hong's research team (Jihong Min) in the Department of Mechanical Engineering and a research team at the Korea Institute of Science and Technology has unveiled the capability of atomically dispersed catalysts to function reliably in high-temperature electrochemical devices, avoiding thermal degradation. The strong interactions between the atomic metal catalyst and the ceramic support prevent aggregation and enhance electrochemical performance when integrated into the porous electrode using an in-situ synthetic technique. Moreover, the thermal stabilization significantly expands the range of potential applications for atomically dispersed catalysts, enabling their practical use in various electrochemical energy devices. This research was published in the esteemed international academic journal 'Journal of Materials Chemistry A' with an Impact Factor of 11.9 in October 2023. The link: https://doi.org/10.1039/D3TA05534E
- 기계공학부 2023.11.17
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122
- Development of a long-term photosynthetic hydrogen production system using green algae (2023.10.25)
- Development of a long-term photosynthetic hydrogen production system using green algae The research team of Professor Wonhyeong Ryu of the Department of Mechanical Engineering and the research team of Professor Hyunseo Ahn of the Department of Chemistry developed a photosynthetic hydrogen production system that produces hydrogen for a long period of time with high photon-hydrogen quantum efficiency. In this paper, the electron transfer and efficiency problems for hydrogen production using existing green algae were significantly improved through CNT mechanical insertion and Pt NP synthesis. In addition, the possibility of commercialization was demonstrated by driving an RC mobility device with an improved hydrogen production system. The study was published in the international academic journal 'Nature Communications' (Impact Factor: 16.6, top 7.5%) in October 2023. The link: https://www.nature.com/articles/s41467-023-42529-3
- 기계공학부 2023.11.17
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121
- Machine learning-powered electrochemical aptasensor for simultaneous monitoring of di(2-ethylhexyl) phthalate and bisphe
- Machine learning-powered electrochemical aptasensor for simultaneous monitoring of di(2-ethylhexyl) phthalate and bisphenol A in variable pH environments The research team, led by Professor Hyo-il Jeong from the Department of Mechanical Engineering (co-first authors of this study are Kyungyeon Lee and Seong Min Ha) developed an ML-based aptasensor platform that can precisely analyze the concentration of plastic pollutants di(2-ethylhexyl) phthalate (DEHP) and bisphenol A (BPA) using water samples from 12 river spots. It has been integrated platform with an electrochemical aptasensor modified with AuNF and a hybrid regression algorithm that can quickly predict the concentration of the two substances without being affected by pH, and the concentration prediction result was achieved with an error rate of less than 6%. This research has been published in the renowned international academic journal 'Journal of Hazardous Materials' (Impact Factor: 13.6) in January 2024. The link: https://doi.org/10.1016/j.jhazmat.2023.132775
- 기계공학부 2023.11.17
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120
- Appreciation Plaque to Chairman Cha Ki-Chul of INBODY and Robot Pilot Appointment for Disabled Researcher Lim Hoonseop
- Appreciation Plaque to Chairman Cha Ki-Chul of INBODY and Robot Pilot Appointment for Disabled Researcher Lim Hoonseop Human-Centered AI Robotics Lab (Director Prof. Dongjun Shin) expressed gratitude to Chairman Cha ki-Chul of INBODY Co., Ltd. for their support in research, presenting him with a token of appreciation. Additionally, the lab held an appointment ceremony for Lim Hoonseop, a robot pilot with disabilities. INBODY Co., Ltd. has pledged support to the Human-Centered AI Robotics Lab's rehabilitation robot bicycle team, BeAGain, which is set to participate in the Cybathlon 2024, a prestigious international competition for assistive technology and rehabilitation robotics. BeAGain, led by Yonsei University and featuring participants from Seoul National University of Science and Technology, Incheon National University, and Bundang Seoul National University Hospital, focuses on addressing societal challenges related to muscle rehabilitation and independent mobility for people with disabilities and the elderly. The team is engaged in the research and development of muscle stimulation AI algorithms, wearable suits, and robotic mobility solutions. Currently, three disabled pilots are part of the team, undergoing rigorous training in preparation for the Cybathlon competition, which is scheduled to take place in October 2024. The competition, held every four years, serves as a platform for showcasing advancements in assistive technology, and BeAGain aims to contribute solutions to the societal issues surrounding muscle rehabilitation and mobility for individuals with disabilities and the elderly. The link: https://www.youtube.com/watch?v=35tlJc4D-Gs
- 기계공학부 2023.11.17
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119
- 8th KSME-SEMES Open Innovation Challenge ‘Young Engineer Group Silver Award’ (2023.09.26)
- 8th KSME-SEMES Open Innovation Challenge ‘Young Engineer Group Silver Award’ Kyuhyun Hwang and Hyunjun Han, integrated master's and doctoral students from the research team of Professor Jongbaeg Kim of the School of of Mechanical Engineering, won the silver prize in the young engineer group at the '8th KSME-SEMES Open Innovation Challenge'. The KSME-SEMES Open Innovation Challenge, hosted by the Korean Society of Mechanical Engineers and SEMES, Korea's largest equipment manufacturer producing core semiconductor/display equipment, and sponsored by the Ministry of Science and ICT and the Ministry of Trade, Industry and Energy, is a project to strengthen cooperation between academia and industry and has been held for eight times now. By developing a low-temperature transfer process technology without structural deformation of vertically aligned carbon nanotubes, the research team presented a source technology that could expand the range of use of the material and was recognized for its excellence. The link: http://ksoic.ksme.or.kr/
- 기계공학부 2023.11.17
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118
- 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