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이강윤(Kangyoon Lee),김대경(Daekyung Kim),오병걸(Byounggul Oh),선우명호(Myoungho Sunwoo) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
In this paper, we proposed a new boosting device for internal combustion engines using dynamic pressure. The boosting device is inspired by the concept of boost converter in electrical system. The proposed boosting device is composed of a fan blowing air into an intake manifold, a bypass, and a bypass valve. By using the fan and the bypass valve, kinetic energy of a working fluid is translated into pressure energy. Consequently, the intake manifold pressure is increased due to the pressure energy. The feasibility of the proposed boosting device was validated by a commercial 1-D engine model, GT-power.
Multi-Bit Quantizer를 갖는 Oversampling ADC를 위한 CIC 데시메이션 필터 설계
이원빈(WonBean Lee),곽호진(Hojin Kwark),김창현(ChangHyeon Kim),이강윤(KangYoon Lee) 대한전자공학회 2024 대한전자공학회 학술대회 Vol.2024 No.6
The advancement in low-power and high-speed signal processing systems has made the design of analog-to-digital converters (ADCs) a significant research topic. In this paper, we propose the use of a type of digital filter, the Cascaded Integrator-Comb (CIC) filter, as an additional filtering stage to address bandwidth, noise, and distortion in the existing Oversampling ADC architecture. We present the structure of the CIC filter that effectively produces outputs in high sampling rate ADCs.
가구당 기기별 에너지 사용량 예측을 위한 딥러닝 모델의 설계 및 구현
이주희 ( JuHui Lee ),이강윤 ( KangYoon Lee ) (사)한국빅데이터학회 2021 한국빅데이터학회 학회지 Vol.6 No.1
우리나라는 자원 빈국인 동시에 에너지 다소비 국가이다. 또한 전기 에너지에 대한 사용량 및 의존도가 매우 높고, 총 에너지 사용의 20% 이상은 건물에서 소비된다. 딥러닝과 머신러닝에 대한 연구가 활발해지면서 다양한 알고리즘을 에너지 효율 분야에 적용하려는 연구가 진행되고 있으며, 에너지의 효율적인 관리를 위한 건물에너지관리시스템(BEMS)의 도입이 늘어가는 추세이다. 본 논문에서는 스마트플러그를 이용하여 직접 수집한 가구당 기기별 에너지 사용량을 바탕으로 데이터베이스를 구축하였다. 또한 RNN과 LSTM 모델을 이용하여 수집한 데이터를 효과적으로 분석 및 예측하는 알고리즘을 구현하였다. 추후 이 데이터는 에너지 사용량 예측을 넘어 전력 소비 패턴 분석 등에 적용할 수 있다. 이는 에너지 효율 개선에 도움이 될 수 있으며, 미래 데이터의 예측을 통해 효과적인 전력 사용량 관리에 도움을 줄 것으로 기대된다. Korea is both a resource-poor country and a energy-consuming country. In addition, the use and dependence on electricity is very high, and more than 20% of total energy use is consumed in buildings. As research on deep learning and machine learning is active, research is underway to apply various algorithms to energy efficiency fields, and the introduction of building energy management systems (BEMS) for efficient energy management is increasing. In this paper, we constructed a database based on energy usage by device per household directly collected using smart plugs. We also implement algorithms that effectively analyze and predict the data collected using RNN and LSTM models. In the future, this data can be applied to analysis of power consumption patterns beyond prediction of energy consumption. This can help improve energy efficiency and is expected to help manage effective power usage through prediction of future data.
진성태(Sungtae Jin),이강윤(Kangyoon Lee),이우택(Wootaik Lee) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11
This paper describes implementation and development of Hardware-in-the-Loop Simulation(HILS) system to easily test software functions of Motor Control Unit(MCU) in hybrid electric vehicle. A current automotive ECU has a number of requirements which are legal enforcement, passenger convenience, driver assistance and dynamic drive aspects. These various requirements make the software functions more difficult to enhance reliability. To overcome this problem, this paper presents a better testing environment for maximizing the software quality using the HILS technique. The proposed HILS system can cover not only simulation environment of plant model in real-time but also a means to automatically test the software functions embedded into MCU. For the validation of simulation environment, the experimental results of the developed HILS system are compared with simulation results of the designed plant model on the PC environment. The proposed HILS system will look forward to improving the reliability of software quality and cost-effectiveness of the products.
IoT 어플리케이션에서 활용하는 참조 전압을 같이 생성할 수 있는 표준 편차가 낮은 온도 센서
오주원,부영건,정연재,이강윤,Juwon Oh,Younggun Pu,Yeonjae Jung,Kangyoon Lee 반도체공학회 2024 반도체공학회 논문지 Vol.2 No.2
본 논문은 BJT 소자의 온도 특성에 의해 생성되는 전류를 활용하여 ADC 와 함께 센서의 정보를 변환하는 과정에서 필요한 참조 전압(Reference Voltage)과 온도센서 전압을 하나의 증폭기에서 생성하고자 하는 목적에 따라 설계하는 회로를 제안한다. 이와 함께 회로의 표준 편차를 줄이기 위한 두개의 컨트롤 방식이 추가되어 10 배 이상의 표준 편차를 감소시키는 결과를 얻게 된다. 제안하는 회로의 면적은 0.057mm<sup>2</sup> 이며 55nm RF 공정을 활용하였다. This paper presents a circuit design aimed at generating the required reference voltage and temperature sensor voltage in conjunction with an ADC, utilizing the current generated by temperature characteristics of BJT components for sensor data conversion. Additionally, two control methods are introduced to reduce the standard deviation of the circuit, resulting in over a ten-fold decrease in standard deviation. The proposed circuit occupies an area of 0.057mm<sup>2</sup> and was implemented using 55nm RF process.
Electro-Mechanical Brake 제어 시스템을 위한 전자제어장치의 하드웨어 플랫폼 개발
진성태(Sungtae Jin),이강윤(Kangyoon Lee),김명준(Myoungjune Kim),김주곤(Joogon Kim) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
This paper describes an electric control unit(ECU) hardware platform for an electro-mechanical brake(EMB) control system. In modern vehicles hydraulic and mechanical components are replaced by electrical components. At the same time, increasing complexity of control mechanisms causes new engineering problems in software and hardware development. As one of these technologies, the EMB control system is a brake-by-wire system that can replace conventional hydraulic brake system. This paper introduces the overall concept of hardware design and outlines of the components design to interface sensors and actuators for EMB control system. Finally, the results are confirmed from component-level tests with basic software.