Browse "School of Electrical Engineering(전기및전자공학부)" by Title

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M 채널 IIR Cosine-Modulated 필터 뱅크의 설계와 음향 반향 제거에서 응용

김상균; 유창동researcher, 전자공학회논문지 - SP, v.39, no.5, pp.80 - 87, 2002-09


M&S를 위한 SIMDIS에서 지형의 3D 표현

박동조researcher; 김석권; 손재원, 한국군사과학기술학회, 한국군사과학기술학회, 2010


M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees

Shin, Kijungresearcher; Hooi, Bryan; Faloutsos, Christos, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp.264 - 280, Springer, 2016-09-23


M-생존자 채널 추정기에 기반을 둔 적응 MLSE 수신기

조성권; 이용훈researcher, 통신 정보 합동 학술대회 (JCCI '98), pp.176 - 180, 대한전자공학회, 1998-04


MAC algorithm for energy-limited ad-hoc networks

Jin, Kyu-Tae; Cho, Dong-Horesearcher, 52nd Vehicular Technology Conference (IEEE VTS Fall VTC2000), v.1, pp.219 - 222, 2000-09-24


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 considering energy efficiency and VBR traffic in wireless ad hoc networks = 무선 ad hoc 망에서 에너지 효율과 VBR 트래픽을 고려한 매체접근제어link

Jin, Kyu-Tae; 진규태; et al, 한국과학기술원, 2003


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-Horesearcher, IEICE TRANSACTIONS ON COMMUNICATIONS, v.E96B, no.6, pp.1444 - 1458, 2013-06


MAC protocol for energy efficiency and service differentiation with high goodput in wireless sensor networks = 높은 Goodput, 에너지 효율성, 서비스 차별성을 가지는 센서네트워크에서의 MAC 프로토콜 연구link

Moon, Sang-Kwon; 문상권; et al, 한국과학기술원, 2013


MAC Scheduling with Low Overheads by Learning Neighborhood Contention Patterns

Yi, Yungresearcher; de Veciana, Gustavo; Shakkottai, Sanjay, IEEE-ACM TRANSACTIONS ON NETWORKING, v.18, no.5, pp.1637 - 1650, 2010-10


Mach-zehnder 간섭계 형의 온도 센서 제작 = Fabrication of mach-zehnder interferometer type temperature sensorlink

김대건; Kim, Dae-Kun; et al, 한국과학기술원, 1989


Mach-Zehnder 변조기의 소광비가 멀티레벨 광신호의 성능에 미치는 영향

정윤철researcher, 광자기술 학술회의, 광자기술 학술회의, 2010


Machine intelligence quotient: its measurements and applications

Bien, Zeung namresearcher; Bang, WC; Kim, DY; Han, JS, FUZZY SETS AND SYSTEMS, v.127, no.1, pp.3 - 16, 2002-04


Machine learning (ML)-based lithography optimizations

Shin, Youngsooresearcher; Shim, Seongbo; Choi, Suhyeong, IEEE Asia Pacific Conference on Circuits and Systems, IEEE, 2016-10-25


Machine learning (ML)-guided OPC using basis functions of polar Fourier transform

Shim, Seongbo; Choi, Su Hyeong; Shin, Young Soo, SPIE Advanced Lithography, SPIE, 2016-02-24


Machine learning based solar power & load forecasting and ESS-based energy management in power grids = 전력망에서의 기계학습 기반의 태양광 출력 및 전력부하 예측과 에너지저장장치 기반의 에너지 관리link

Bae, Kuk Yeol; Sung, Dan Keun; et al, 한국과학기술원, 2017


Machine learning-based 3D resist model

Shim, Seongbo; Choi, Suhyeong; Shin, Youngsooresearcher, SPIE Advanced Lithography, SPIE, 2017-02-26


Machine Learning-Based Dimension Optimization for Two-Stage Precoder in Massive MIMO Systems with Limited Feedback

Kang, Jinho; Lee, Jung Hoon; Choi, Wanresearcher, APPLIED SCIENCES-BASEL, v.9, no.14, 2019-07


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 Gonresearcher, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.95, no.8, pp.673 - 691, 2019-08


Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost

Xue Lin; Paul Bogdan; Chang, Naehyuckresearcher; Massoud Pedram, Proceedings of the International Conference on Computer Aided Design (ICCAD), ACM SIGDA and IEEE CEDA, 2015-11-04



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