Browse "College of Engineering(공과대학)" by Type Article
Showing results 33110 to 33169 of 64118
| M 2C precipitates in isothermal tempering of high Co-Ni secondary hardening steel Yoo, Choong Hwa; Lee, HyuckMo; Chan, Jin W.; Morris, John W., METALLURGICAL AND MATERIALS TRANSACTIONS A: PHYSICAL METALLURGY AND MATERIALS SCIENCE, v.27, no.11, pp.3466 - 3472, 1996 |
| M 채널 IIR Cosine-Modulated 필터 뱅크의 설계와 음향 반향 제거에서 응용 김상균; 유창동, 전자공학회논문지 - SP, v.39, no.5, pp.80 - 87, 2002-09 |
| M(X)/G/1 VACATION MODELS WITH N-POLICY - HEURISTIC INTERPRETATION OF THE MEAN WAITING TIME Chae, Kyung-Chul; LEE, HW, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.46, no.2, pp.258 - 264, 1995-02 |
| M-K 모델 기반의 박판금속 성형성 평가에서 물성의 영향에 대한 해석적 연구 Y. Lou; 김석봉; 허훈, 소성가공, v.19, no.7, pp.393 - 398, 2010-11 |
| M.Integrator: a maker's tool for integrating kinetic mechanisms and sensors Jeong, Yunwoo; Kim, Han-Jong; Cho, Hyungjun; Nam, Tek-Jin, INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, v.14, no.1, pp.271 - 283, 2020-03 |
| M/G/1 대기행렬의 최적 D-정책 분석 채경철; 박연일, 대한산업공학회지, v.25, no.4, pp.527 - 531, 1999-12 |
| M/M/2 직렬-서어버 모형의 분석 및 응용 양원석; 채경철, 한국경영과학회지, v.22, no.2, pp.1 - 12, 1997-06 |
| M/M/c/K 대기행렬 시스템의 바쁜 기간 분석 채경철; 임대은, 한국경영과학회지, v.31, no.1, pp.83 - 90, 2006-03 |
| MAC Achieving Low Latency and Energy Efficiency in Hierarchical M2M Networks With Clustered Nodes Park, Ieryung; Kim, Dohyun; Har, Dongsoo, IEEE SENSORS JOURNAL, v.15, no.3, pp.1657 - 1661, 2015 |
| A MAC Algorithm for Energy-limited Ad-Hoc Networks Jin, Kyu-Tae; Cho, Dong-Ho, Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd, vol.1, pp.219-222, 2000-09 |
| MAC Protocol for Energy Efficiency and Service Differentiation with High Goodput in Wireless Sensor Networks Moon, Sang-Kwon; Yoo, Jong-Woon; Kim, Jae-Sub; Park, Kyu-Ho, IEICE TRANSACTIONS ON COMMUNICATIONS, v.E96B, no.6, pp.1444 - 1458, 2013-06 |
| MAC Scheduling with Low Overheads by Learning Neighborhood Contention Patterns Yi, Yung; de Veciana, Gustavo; Shakkottai, Sanjay, IEEE-ACM TRANSACTIONS ON NETWORKING, v.18, no.5, pp.1637 - 1650, 2010-10 |
| MACHINABILITY OF CARBON-FIBER EPOXY COMPOSITE-MATERIALS IN TURNING Ki Soo Kim; Lee, Dai Gil; Kwak, Yoon Keun; Suk Namgung, JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, v.32, no.3, pp.553 - 570, 1992-08 |
| Machine capacity allocation strategies for scheduling a large multi-chip assembly line Lee, Sang-Jin; Lee, Tae-Eog, EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, v.5, pp.327 - 337, 2011 |
| Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture Zabin, Mahe; Choi, Ho-Jin; Kabir, Muhammad Kubayeeb; Kabir, Anika Nahian Binte; Uddin, Jia, ELECTRONICS, v.13, no.16, 2024-08 |
| Machine intelligence quotient: its measurements and applications Bien, Zeung nam; Bang, WC; Kim, DY; Han, JS, FUZZY SETS AND SYSTEMS, v.127, no.1, pp.3 - 16, 2002-04 |
| Machine Layout Problem in Direcect-Input-Output Manufacturing System 황학, 산업공학(IE INTERFACES), v.9, no.2, pp.203 - 218, 1996-01 |
| Machine learning accelerated MMC-based topology optimization for sound quality enhancement of serialized acoustic structures Xu, Lei; Zhang, Weisheng; Yao, Wen; Youn, Sung-Kie; Guo, Xu, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.67, no.5, 2024-05 |
| Machine learning application to seismic site classification prediction model using Horizontal-to-Vertical Spectral Ratio (HVSR) of strong-ground motions Phi, Francis G.; Cho, Bumsu; Kim, Jungeun; Cho, Hyungik; Choo, Yun Wook; Kim, Dookie; Kim, Inhi, Geomechanics and Engineering, v.37, no.6, pp.539 - 554, 2024-06 |
| Machine learning applications in genome-scale metabolic modeling Kim, Yeji; Kim, Gi Bae; Lee, Sang Yup, Current Opinion in Systems Biology, v.25, pp.42 - 49, 2021-03 |
| Machine learning applications in systems metabolic engineering Kim, Gi Bae; Kim, Won Jun; Kim, Hyun Uk; Lee, Sang Yup, CURRENT OPINION IN BIOTECHNOLOGY, v.64, pp.1 - 9, 2020-08 |
| Machine learning assisted synthesis of lithium-ion batteries cathode materials Liow, Chi Hao; Kang, Hyeonmuk; Kim, Seunggu; Na, Moony; Lee, Yongju; Baucour, Arthur; Bang, Kihoon; et al, NANO ENERGY, v.98, 2022-07 |
| Machine learning based english-to-Korean transliteration using grapheme and phoneme information Oh, JH; Choi, Key-Sun, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E88D, no.7, pp.1737 - 1748, 2005-07 |
| Machine learning based evolutionary algorithms and optimization for transportation and logistics Preface Cheng, John; Yang, Bin; Gen, Mitsuo; Jang, Young Jae; Liang, Cheng-Ji, COMPUTERS & INDUSTRIAL ENGINEERING, v.143, 2020-05 |
| Machine learning based photovoltaic energy prediction scheme by augmentation of on-site IoT data Park, Jaeeun; Kim, Jangkyum; Lee, Sanghyun; Choi, Jun Kyun, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.134, pp.1 - 12, 2022-09 |
| Machine learning based state observer for discrete time systems evolving on Lie groups Shanbhag, Soham; Chang, Dong Eui, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v.139, 2025-01 |
| Machine learning filters out efficient electrocatalysts in the massive ternary alloy space for fuel cells Park, Youngtae; Hwang, Chang-Kyu; Bang, Kihoon; Hong, Doosun; Nam, Hyobin; Kwon, Soonho; Yeo, Byung Chul; et al, APPLIED CATALYSIS B-ENVIRONMENTAL, v.339, 2023-12 |
| Machine Learning for Advanced Wireless Sensor Networks: A Review Kim, Taeyoung; Vecchietti, Luiz Felipe; Choi, Kyujin; Lee, Sangkeum; Har, Dongsoo, IEEE SENSORS JOURNAL, v.21, no.11, pp.12379 - 12397, 2021-06 |
| Machine Learning for Object Recognition in Manufacturing Applications Yun, Huitaek; Kim, Eunseob; Kim, Dong Min; Park, Hyung Wook; Jun, Martin Byung-Guk, INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.24, no.4, pp.683 - 712, 2023-04 |
Machine Learning for Practical Localization System Using Multiview CSI Kim, Minseuk; Han, Dongsoo; Rhee, June-Koo Kevin, IEEE ACCESS, v.8, pp.184575 - 184584, 2020-10 |
| Machine learning for renewable energy materials Gu, Geun Ho; Noh, Juhwan; Kim, Inkyung; Jung, Yousung, JOURNAL OF MATERIALS CHEMISTRY A, v.7, no.29, pp.17096 - 17117, 2019-08 |
| Machine learning powered sketch aided design via topology optimization Zhang, Weisheng; Wang, Yue; Youn, Sung-Kie; Guo, Xu, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.419, 2024-02 |
| Machine learning predictive model based on national data for fatal accidents of construction workers Choi, Jongko; Gu, Bonsung; Chin, Sangyoon; Lee, Jong-Seok, AUTOMATION IN CONSTRUCTION, v.110, 2020-02 |
| Machine learning-assisted optimization of TBBPA-bis-(2,3-dibromopropyl ether) extraction process from ABS polymer Wan, Yan; Zeng, Qiang; Shi, Pujiang; Yoon, Yong-Jin; Tay, Chor Yong; Lee, Jong-Min, CHEMOSPHERE, v.287, 2022-01 |
| Machine learning-based analysis and prediction model on the strengthening mechanism of biopolymer-based soil treatment Lee, Haejin; Lee, Jaemin; Ryu, Seunghwa; Chang, Ilhan, GEOMECHANICS AND ENGINEERING, v.36, no.4, pp.381 - 390, 2024-02 |
| Machine Learning-Based Channel Prediction in Wideband Massive MIMO Systems With Small Overhead for Online Training Ko, Beomsoo; Kim, Hwanjin; Kim, Minje; Choi, Junil, IEEE Open Journal of the Communications Society, v.5, pp.5289 - 5305, 2024 |
| Machine learning-based constitutive model for J2- plasticity Jang, DP; Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.138, pp.102919, 2021-03 |
| Machine Learning-Based Dimension Optimization for Two-Stage Precoder in Massive MIMO Systems with Limited Feedback Kang, Jinho; Lee, Jung Hoon; Choi, Wan, APPLIED SCIENCES-BASEL, v.9, no.14, 2019-07 |
| Machine learning-based discovery of molecules, crystals, and composites: A perspective review Lee, Sangwon; Byun, Haeun; Cheon, Mujin; Kim, Jihan; Lee, Jay Hyung, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.38, no.10, pp.1971 - 1982, 2021-10 |
| Machine learning-based discrete event dynamic surrogate model of communication systems for simulating the command, control, and communication system of systems Kang, Bong Gu; Seo, Kyung-Min; Kim, Tag Gon, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.95, no.8, pp.673 - 691, 2019-08 |
| Machine learning-based epoxy resin property prediction Jang, Huiwon; Ryu, Dayoung; Lee, Wonseok; Park, Geunyeong; Kim, Jihan, MOLECULAR SYSTEMS DESIGN & ENGINEERING, v.9, no.9, pp.959 - 968, 2024-08 |
| Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; Lee, Hugon; Park, Kundo; Lee, Ikjin; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12 |
| Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties Demeke, Wabi; Ryu, Byungki; Ryu, Seunghwa, APPLIED ENERGY, v.355, 2024-02 |
| Machine learning-based self-powered acoustic sensor for speaker recognition Han, Jae Hyun; Bae, Kang Min; Hong, Seong Kwang; Park, Hyunsin; Kwak, Jun-Hyuk; Wang, Hee Seung; Joe, Daniel Juhyung; et al, NANO ENERGY, v.53, pp.658 - 665, 2018-11 |
| Machine Learning-Driven Design Optimization of Buckling-Induced Quasi-Zero Stiffness Metastructures for Low-Frequency Vibration Isolation Hong, Hyunsoo; Kim, Wonki; Kim, Wonvin; Jeong, Jae-moon; Kim, Samuel; Kim, Seong Su, ACS APPLIED MATERIALS INTERFACES, v.16, no.14, pp.17965 - 17972, 2024-03 |
| Machine learning-driven stress integration method for anisotropic plasticity in sheet metal forming Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.166, 2023-07 |
| Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting Lee, Sangryun; Choi, Wonjae; Park, Jeong Won; Kim, Dae-Su; Nahm, Sahn; Jeon, Wonju; Gu, Grace X.; et al, NANO ENERGY, v.103, 2022-12 |
| Machine Learning-Enabled Exploration of the Electrochemical Stability of Real-Scale Metallic Nanoparticles Bang, Kihoon; Hong, Doosun; Park, Youngtae; Kim, Donghun; Han, Sang Soo; Lee, Hyuck-Mo, NATURE COMMUNICATIONS, v.14, no.1, 2023-05 |
| Machine learning-enabled textile-based graphene gas sensing with energy harvesting-assisted IoT application Zhu, Jianxiong; Cho, Minkyu; Li, Yutao; He, Tianyiyi; Ahn, Junseong; Park, Jaeho; Ren, Tian-Ling; et al, NANO ENERGY, v.86, 2021-08 |
| Machine Learning-Guided Etch Proximity Correction Shim, Seongbo; Shin, Youngsoo, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.30, no.1, pp.1 - 7, 2017-02 |
| Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models Lee, Sang Mi; Lee, GaRyoung; Kim, Hyun Uk, COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v.20, pp.3041 - 3052, 2022-06 |
| Machine learning: Overview of the recent progresses and implications for the process systems engineering field Lee, Jay Hyung; Shin, Joohyun; Realff, Matthew J., COMPUTERS & CHEMICAL ENGINEERING, v.114, pp.111 - 121, 2018-06 |
| Machine Straightness Error Measurement Based on Optical Fiber Fabry-Perot Interferometer Monitoring Technique Fu, Xingyu; Zhou, Fengfeng; Yun, Huitaek; Kim, Eunseob; Chen, Siying; Jun, Martin Byung-Guk, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.145, no.1, 2023-01 |
| Machine-enabled inverse design of inorganic solid materials: promises and challenges Noh, Juhwan; Gu, Geun Ho; Kim, Sungwon; Jung, Yousung, CHEMICAL SCIENCE, v.11, no.19, pp.4871 - 4881, 2020-05 |
| Machine-Learned Light-Field Camera that Reads Facial Expression from High-Contrast and Illumination Invariant 3D Facial Images Bae, Sang-In; Lee, Sangyeon; Kwon, Jae-Myeong; Kim, Hyun-Kyung; Jang, Kyung-Won; Lee, Doheon; Jeong, Ki-Hun, ADVANCED INTELLIGENT SYSTEMS, v.4, no.4, 2022-04 |
| Machine-learning assisted topology optimization for architectural design with artistic flavor Zhang, Weisheng; Wang, Yue; Du, Zongliang; Liu, Chang; Youn, Sung-Kie; Guo, Xu, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.413, 2023-08 |
| Machine-Learning Model for the Prediction of Hypoxaemia during Endoscopic Retrograde Cholangiopancreatography under Monitored Anaesthesia Care Kang, Huapyong; Lee, Bora; Jo, Jung Hyun; Lee, Hee Seung; Park, Jeong Youp; Bang, Seungmin; Park, Seung Woo; et al, YONSEI MEDICAL JOURNAL, v.64, no.1, pp.25 - 34, 2023-01 |
| Machining efficiency comparison direction-parallel tool path with contour-parallel tool path Kim, BH; Choi, Byoung Kyu, COMPUTER-AIDED DESIGN, v.34, no.2, pp.89 - 95, 2002-02 |
| Machining sound analysis for the effects of fiber bending on cutting mechanisms during carbon fiber reinforced plastic composite milling Song, Kyeongeun; Kim, Gyuho; Yun, Huitaek; Min, Byung-Kwon; Jun, Martin Byung-Guk, COMPOSITES PART B-ENGINEERING, v.241, 2022-07 |
| Machining Tool Path Generation for Point Set Park, Seyoun; Shin, Hayong, International Journal of CAD/CAM, v.8, no.1, pp.45 - 53, 2008-12 |
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