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현인걸(Ingul Hyun),김경주(Kyoungjoo Kim),장경영(Kyoungyoung Jhang),송기원(Keewon Song),이순재(Soonjae Lee),박진수(Jinsoo Park) 한국자동차공학회 1995 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1995 No.6_1
This study, is the basic research on the development of measuring system for the distance to the forward vehicle from the following one. In the methodology, the optical pulse method is applied, and the transit time of the pulse is detected by using high resolution counter to estimate the distance. As a optical source, a infra-red pulsed laser was used, and the concrete optical system was constructed. The performance of the measurement system was proved by basic experiments and by comparing with the theoretical predictions based on the diffraction model and the simple diffusion model.<br/>
권순국(Sunguk Kwon),이영신(Youngshin Lee),김재훈(Jaehoon Kim),이정희(Junghee Lee),김경주(Kyoungjoo Kim),공정표(Jeongpyo Kong),구송회(Songhoe Koo),윤수진(Sujin Youn) 대한기계학회 2008 대한기계학회 춘추학술대회 Vol.2008 No.5
This paper investigated on the critical fracture pressure of the Al2O3(Aluminum Oxide, Alumina) ceramic circular plate under shock impact. A computational technique for the modeling of ceramic circular plate was presented using an explicit finite element solver. In numerical analysis, the plate models with solid elements were applied. For validation, experimental investigations have been done by the shock tube. The critical fracture pressure was measured and was compared with the numerical results.
이민규(Lee Minkyu),정재윤(Jung Jaeyun),고대건(Ko Daegun),박범수(Park Bumsu),최정훈(Choi Jeonghoon),한혜승(Han Hyeseung),김경주(Kim KyoungJoo),김현섭(Kim Hyunsup),김성규(Kim Sungkyu) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.11
Recently, as electric vehicle technology has become more advanced, V2G (vehicle to grid) technology that uses batteries externally is being commercialized, and is divided into V2H (vehicle to home) and V2B (vehicle to building) depending on the type of grid connection. V2B services have a profit effect by discharging EV energy into the building when the building load is high, maintaining or lowering the buildings base rate, and for this purpose, accurate building load prediction is important. In this study, the results predicted by linear statistical models and nonlinear machine learning models were corrected with a multi-layer perceptron to derive the final results, and were evaluated using one years worth of actual load data on buildings.