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234
- Dr. Chun-Kwon Lee, Assistant Professor of Pukyong National University
- Dr. Chun-Kwon Lee joined Department of Control & Instrumentation Engineering, Pukyong National University as an Assistant Professor in April 2021. Dr. Chun-Kwon Lee received his Ph.D. degree at Yonsei University from Power Informatics Lab. in Sep. 2019 under supervision of Dr. Yong-June Shin. Prior to his employment of PNU, he was Senior Research Fellow in the Department of Smart Distribution Laboratory, Korea Electric Power Corporation (KEPCO) Research Institute.
- 전기전자공학부 2021.04.20
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233
- Prof. Seong-Ook Jung’s Research Team, Accepted in 2021 Symposium on VLSI Circuits
- Prof. Seong-Ook Jung’s research about write- and performance-assist cells for high yield and low power SRAM design was accepted for oral presentation in Symposium on VLSI Circuits, the most renowned journal on device and circuit field. This research was made by Ph.D. candidate Keonhee Cho and professor Seong-Ook Jung in VLSI system laboratory.
- 전기전자공학부 2021.04.20
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232
- Prof. Sohn’s Team Published a Paper on IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- The paper “On the Confidence of Stereo Matching in a Deep-learning Era: A Quantitative Evaluation” has been accepted on IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 17.861, JCR Ranking Top 0.8%). This work is jointly conducted by two of the most prestigious labs in stereo matching as international joint research between Yonsei University and the University of Bologna, Italy. Prof. Seungryong Kim (Korea University) who received Ph.D. from Sohn’s lab, and Dr. Poggi (University of Bologna) participated as co-authors. Prof. Dongbo Min (Ewha Womans University) and Prof. Sunok Kim (Korea Aerospace University) from Prof. Sohn’s lab participated as co-authors.
- 전기전자공학부 2021.04.20
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231
- Prof. Sanghoon Lee's research team published the paper "Competitive Learning of Facial Fitting and Synthesis Using UV En
- Han Kuwon( Ph.D. candidate) students in RAMO Lab, proposed new hybrid positioning algorithm with Prof. Seong-Lyun Kim. The thesis was accepted at IEEE IoT Journal, International Internet of Things Area Journal (3rd in Computer Science Area, IF 9.936, JCR 1.60%). This paper proposes a new hybrid positioning algorithm combining radio signal and IMU sensors. The Wi-Fi round-trip time (RTT) and the Pedestrian Dead Reckoning (PDR) technique are used to estimate the position. Various field experiments verify the proposed algorithm in line-of-sight (LOS) guaranteed and LOS / non-LOS mixed environments.
- 전기전자공학부 2021.04.20
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230
- Multi-dimensional Insight LAB. (Prof. Sanghoon Lee and research Prof. Jiwoo Kang), facial fitting and synthesis research
- Prof. Sanghoon Lee's research team published the paper "Competitive Learning of Facial Fitting and Synthesis Using UV Energy", which proposes a UV Energy-based GAN model that predicts the shape and texture of a three-dimensional face from a single face image, in the IEEE Transactions on System, Man, and Cybernetics: System (IF 9.3).
- 전기전자공학부 2021.04.20
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229
- Dr. HyungGi Jo, Employment of Professor at JBNU
- Dr. HyungGi Jo is employed as an Assistant Professor in the Department of Electronic and Engineering at Jeonbuk National University (JBNU). Dr. HyungGi Jo received his Bachelor`s and Doctor`s degrees in Electrical and Electronic Engineering at Yonsei University in 2012 and 2020, respectively. After receiving Doctor`s degree in Computational Intelligence Lab (Professor Euntai Kim) at Yonsei University, Dr. HyungGi Jo work as a senior researcher at Korean Electronics Technology Instiute (KETI) and has been studying SLAM and Visual Localization for intelligent robot.
- 전기전자공학부 2021.03.25
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228
- Professor Won Woo Ro, Associate Editor IEEE Transactions on Emerging Topics in Computing
- Professor Won Woo Ro is appointed as an Associate Editor of IEEE Transactions on Emerging Topics in Computing IEEE Transactions on Emerging Topics in Computing (IF=6.043) publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions.
- 전기전자공학부 2021.03.24
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227
- DSP&AI, DiML Research Teams published a collaborative research paper on IEEE/CVF Conference on Computer Vision and Patte
- A collaborative research by DSP&AI and DiML research team (Supervisor: Prof. Hong-Goo Kang, Prof. Kwanghoon Sohn) was published in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 (h5-index 299, Computer Vision & Pattern Recognition Rank 1). The paper title is "Looking into Your Speech: Learning Cross-Modal Affinity for Audio-visual Speech Separation”, and Jiyoung Lee (Ph.D. student) and Dr. Soo-Whan Chung mainly led this research as co-authors.
- 전기전자공학부 2021.03.24
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226
- Prof. Seong-Ook Jung’s Research Team Accepted in IEEE Transactions on Information Forensics and Security
- Prof. Seong-Ook Jung’s MTJ-based PUF technique was accepted in IEEE Transactions on Information Forensics and Security (TIFS) (IF: 6.013, JIF Percentile: 91.272%, Q1), the renowned journal in information forensics and security field. The proposed PUF achieves the lowest bit error rate under wide temperature and supply voltage variations by exploiting auto write-back technique. This research was made by doctor Byungkyu Song and professor Seong-Ook Jung in VLSI system laboratory.
- 전기전자공학부 2021.03.24
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225
- Pro. Seong-lyun Kim’s Lab(RAMO) IEEE Internet of Things Journal Accept
- Lee Changmin, a doctoral student in RAMO Lab, proposed ASMP (Adaptive Sensor node Management Protocol) technology with Prof. Seong-Lyun Kim. The thesis about ASMP was accepted at IEEE IoT J, International Internet of Things Area Journal(3rd in Computer Science Area, IF 9.936, JCR 1.60%). ASMP technology optimizes sensor node’s data collection period with QoS using adaptive filter of Mean Velocity based Prediction(MVP) method, when monitoring disaster situation in a remote area. It is the technology that guarantees QoS of sensor node’s data collection and self-sustainability by proposing new protocol for efficiency of data collection by sensor nodes and the server.
- 전기전자공학부 2021.03.24