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- Developent of localizing rattle noise source methodology using machine learning algorithm (2021.9.25)
- Developent of localizing rattle noise source methodology using machine learning algorithm Professor No-cheol Park's in the Department of Mechanical Engineering and his research team have developed a methodology to localize the relative location of the rattle noise sources underbody of the vehicle using the signal measured using several accelerometers. Through this study, It became possible to quantitaively determine the relative location of the rattle noise source based on the measurement locations. The rattle-induced acceleration signals were clustered using machine learning algorithms with the accuracy of the BSR expert level in the vehicel underbody. The proposed method is based only on the transmission characteristics of and rattle-induced acceleration signals measured in the driving test, and It can be used widely regardless of vehicle type. In recognition of the excellent of research results, this study was published in the international academic journal Mechanical Systems and Signal Processing (Impact factor: 6.823, 2020 JCR, top 1.52%).
- 기계공학부 2021.10.28
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- Development of highly sensitive H2 sensor based on functionalized nanomaterials (2021.09.20)
- Development of highly sensitive H2 sensor based on functionalized nanomaterials Through collaborated work between Professor Jongbaeg Kim's lab in mechanical engineering and Seoul university of science and technology, highly sensitive hydrogen sensor was developed and was published in 'Applied Surface Science' journal which is ranked on top in material science, coating & film category. A new clean energy source candidate Hydrogen requires development of highly sensitivce hydrogen sensor that is capable of low concentration sensing in order to prevent leak induced explosion. Developed sensor exhibits higher sensitivity through even atomic layer deposition of Pt nanoparticles on functionalized MoS2. The Link: https://doi.org/10.1016/j.apsusc.2021.151256
- 기계공학부 2021.10.28
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- Critical Wedging Coefficient in Frictional ElasticSystem Considering Separation State (2021.09.10)
- Critical Wedging Coefficient in Frictional ElasticSystem Considering Separation State Professor Yong Hoon Jang was the recipient of the 31st Science and Technology Excellence Paper Award in 2021, awarded by the Korean Federation of Science and Technology Societies for the paper of 'Critical Wedge Coefficient of Elastic Friction System Considering Separation State' published in Tribology and Lubricants in 2020. This paper contirubutes to the improvement of the fastening and assembly performance of mechanical systems by presenting a new algorithm to determine the critical wedging coefficient for the friction contact problem considering the separation state.
- 기계공학부 2021.10.28
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- Publication of contribution on etnews: 'Space Power in the Era of Great Transitions' (2021.08.23)
- Publication of contribution on etnews: 'Space Power in the Era of Great Transitions' Professor Hyung Hee Cho published an articlen in the etnews, 'Space Power in the Era of Great Transition'. The article was written based on the online presentations and discussions by domestic and foreign experts at the conference, The 23rd Air & Space Power International conference (ASPIC 2021), hosted by the Yonsei Aerospace Strategy & Technology Institute(ASTI, Director: Hyung Hee Cho). Prof. Cho discussed the necessity of enhancing space power, the status of international competition, and ways to secure Korea's space competitiveness. News Link : https://etnews.com/20210823000152
- 기계공학부 2021.10.28
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- Microfluidic chip for rapid and selective isolation of tumor-derived extracellular vesicles for early diagnosis and meta
- Microfluidic chip for rapid and selective isolation of tumor-derived extracellular vesicles for early diagnosis and metastatic risk evaluation of breast cancer (2021. 07. 09) Professor Hyo-Il Jung's research team in the Department of Mechanical Engineering has developed a microfluidic chip that can separate and concentrate two types of cancer-derived extracellular vesicles within 7 minutes. The diagnostic sensitivity of the existing biomarker-based early breast cancer detection in blood was about 23-30%, but when the chip developed in this study was used, the diagnostic sensitivity was increased to 90%. The chip could be extended as a powerful clinical tool for the analysis of various diseases besides cancer. This study was published online on July 9, 2021, in the international scientific journal Biosensors and Bioelectronics (Impact factor: 10.618, 2020 JCR, top 3.01%). The link : https://www.sciencedirect.com/science/article/pii/S0956566321005327
- 기계공학부 2021.09.01
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- Integrated infrared signature management with multispectral selective absorber via single-port grating resonance
- Integrated infrared signature management with multispectral selective absorber via single-port grating resonance(2021. 07. 05) To enhance military power, Professor Jae W. Hahn's team in the Department of Mechanical Engineering developed an infrared stealth device applicable to military vehicle including tank. Through this research, infrared stealth device exhibits low observability against laser guidance as well as thermal camera detection. This work was published in the renowned optical journal, 'Advanced Optical Materials' (IF : 9.926). This research was recognized as a core technology for Future Defense Innovation Technology. Please refer to the link : https://doi.org/10.1002/adom.202002225
- 기계공학부 2021.09.01
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- Review paper on Neural circuits for modeling brain physiology and neuropathology accepted for publication( 2021. 06. 15)
- Review paper on Neural circuits for modeling brain physiology and neuropathology accepted for publication (2021. 06. 15) A review paper covering neural circuits for modeling brain physiology and neuropathology carried out by professor Jongbaeg Kim's team in collaboration with KIST researchers is accepted for publication in renowned bioengineering journal Acta Biomaterilia. Artificial neural circuits are environments that are able to conduct functional analysis experiments of cerebral neural circuit connectivity in vitro, simulating in vivo environment. Discussed artificial neural circuit research has great significance since it can be applied to various brain disease studies including Alzheimer's and Parkinson's disease. Please refer to the link: https://doi.org/10.1016/j.actbio.2021.06.024
- 기계공학부 2021.09.01
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- Deep Learning Based EMG Image Intention Detection 2 DOF Powered Ankle Foot Orthosis (2021. 06. 01)
- Deep Learning Based EMG Image Intention Detection 2 DOF Powered Ankle Foot Orthosis (2021. 06. 01) The research team of Professor Soo-Hong Lee of Yonsei University was selected for the protection project implemented by the National Research Foundation of Korea. The Hedang project will be carried out for three years under the theme of 'Deep Learning Based EMG Image Intention Detection 2 DOF Powered Ankle Foot Orthosis'. By measuring the EMG signals of the muscles involved in the ankle, which play an important role in stability and propulsion in walking, using a high-resolution image method, greater precision in estimating intentions than before can be obtained. Through the results of this study, it is expected that the existing limited control of exoskeleton robots can be raised to a higher level.
- 기계공학부 2021.09.01
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- (2021. 05. 26) 양현석 교수 2021-1 RC 특강에서 "Creativity, AI, and Your Future" 강의
- 기계공학부 양현석 교수는 5월 26일 연세대학교 2021-1학기 RC 특강에서 전체 1학년 학생을 상대로 "Creativity, AI, and Your Future"라는 제목의 강의를 하였다. 강의 영상은 https://m.youtube.com/watch?v=LbfEqaBENP8&feature=youtu.be에서 다시보기 할 수 있다.
- 기계공학부 2021.06.22
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- 시금치로 작동하는 광합성 전지로 전자계산기 구동 (2021. 05. 19)
- 시금치로 작동하는 광합성 전지로 전자계산기 구동 류원형 연세대 기계공학과 교수와 황성주 연세대 신소재공학과 교수, 홍현욱 연세대 기계공학과 박사후연구원 연구팀은 이장미 호주 뉴캐슬대 화학공학과 박사후연구원 연구팀과 공동연구를 통해 틸라코이드와 루테늄 산화물 시트로 제작된 식물 광합성 전지를 개발해 소형계산기를 구동했다. 본 연구는 국제학술지 ScienceAdvances (IF:13.116)에 게재되었으며, 성과의 우수성을 인정받아 5/19일 한국연구재단 및 여러 온라인 기사에 실려 연구 결과가 언론에 홍보되었다. [언론보도] 2021. 05.19 / 연합뉴스 https://www.yna.co.kr/view/AKR20210519037100063?section=search 2021. 05.20 / 동아일보: https://www.donga.com/news/article/all/20210519/107017863/1
- 기계공학부 2021.06.22