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실 도로 주행 시험과 동적 시뮬레이션을 적용한 전기자전거 도로주행 성능 평가에 관한 연구
강대경(Dae Kyung Kang),서상근(Sang Guen Seo),박완규(Wan Kyou Park),김홍진(Hong Jin Kim),김민수(Min Soo Kim) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
Through prior test, we found it was possible to evaluate the drive performance of e-bike such as maximum speed and energy consumption efficiency by motor testing in motor dynamometer. In this study, we have performed drive test of e-bike on real uneven-road and acquired raw data like voltage, current, revolution speed of wheel, etc through mobile data acquisiton system (DAQ). After analyzing raw data, we have applied load, velocity and power profile of e-bike on road condition in motor dynamometer and by using P-I control, we adjusted motor’s load to setting load corresponding to speed and verified availability and reliability of dynamic simulation.
강대실 ( Dae Sil Kang ),김무진 ( Moo Jin Kim ),문원규 ( Won Kyu Moon ) 한국센서학회 2010 센서학회지 Vol.19 No.2
The capacitive sensor has a simple structure, compact size and low cost, but a small dynamic range. The small range is caused by use of gap variation. If the sensor takes area variation type with one plate moving horizontally, it can have a large measurable range. While the area variation has relatively low sensitivity, some studies have found methods to improve the sensitivity. Even though the methods are effective, parameters of the results are limited and 2 dimensional. This study provides more practical and 3 dimensional analysis and suggests relations between parameters. Using the results, the optimized design parameters of a high dynamic range capacitive sensor can be found.
김강대(Kang dae Kim),허영헌(Yong-Xian Xu),이명원(Myung Won Lee),류기성(Gi Seong Ryu),송정근(Chung Kun Song) 대한기계학회 2007 대한기계학회 춘추학술대회 Vol.2007 No.5
In this paper we demonstrated the applications of OTFTs (organic thin film transistors) to flexible displays such as AM-EPD (active matrix electrophoretic display) and AM-OLED (active matrix organic light emitting diode), and also to integrated circuits. The OTFTs using pentacene semiconductor layer and PVP gate dielectric and Au S/D electrodes exhibited good performance for AM-EPD with the mobility of 0.59 ㎠/V.sec, and with also good uniformity over 2.5 diagonal area. However, it is nor enough for AM-OLED requiring the mobility larger than 1 ㎠/V.sec for large area displays. The integrated circuits also worked, producing the operating frequency of 1MHz. We need to develop a fabrication process to reduce parasitic capacitance for high frequency operation.
김성화 ( Sung Hwa Kim ),임지혜 ( Jihye Lim ),강대용 ( Dae Ryong Kang ) 한국보건정보통계학회 2023 보건정보통계학회지 Vol.48 No.6
With the advancement and acceleration of digital technology, the demand and supply of healthcare big data are increasing. In Korea, the government and companies have made various efforts to utilize healthcare big data, such as deregulation data-related legal regulations and data linkage between different institutions. As a result, many researchers have been able to access a variety of healthcare big data. Although healthcare big data has a vast amount and high value, many researchers are unable to fully access healthcare big data because there are difficulties in processing, analysis, and interpretation for data. The data visualization is recognized as an important tool that can solve these limitations. Using data visualization, researchers can intuitively understand complex data and receive support for decision-making. Additionally, these visualizations promote effective communication between experts in different fields and between experts and non-experts. Visualization is used in a variety of research fields and processes, including data summarization, data exploration, and evaluation and interpretation of predictive models. Various types of visualization have different meanings depending on how they are expressed. Therefore, it is important to express the meaning of visualization appropriately. This study provides representative examples of visual representations for data summarization, data exploration, and predictive model evaluation. This study aimed to improve easier access and utilization of healthcare big data by providing R code and visualization results.