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SAW 소자를 이용한 무전원 TPMS 개발에 관한 연구
고봉철(BongCheol Ko),윤현철(HyunCheol Yoon),천진민(JinNin Cheon),이인식(InSik Lee),범진욱(JinWook Burm) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Transponders using surface acoustic wave (SAW) devices make it possible to read identification codes or measurement values from a remote location. To operate without battery and wire is the dominant merit of these SAW transponders, therefore, it could be used at particularly inaccessible locations. The wireless and batteryless tire deflation monitoring system can be easily made by using SAW transponders. The monitoring principle is based on operation theory of surface acoustic wave devices. Operating frequency of TPMS is 434[MHz]and wireless signal is detected at 50[cm]. The calculated maximum read-out distance is about 1.4[m]and it will be possible to improve until about 10[m]. Insertion loss of the prototype sensor element to measure tire pressure is about -51 dB with the exception of antenna losses.
육동석,서형진,고봉구,유인철,Yook, Dongsuk,Seo, HyungJin,Ko, Bonggu,Yoo, In-Chul 한국음향학회 2022 韓國音響學會誌 Vol.41 No.3
Recently, Generative Adversarial Networks (GAN) and Variational AutoEncoders (VAE) have been applied to voice conversion that can make use of non-parallel training data. Especially, Conditional Cycle-Consistent Generative Adversarial Networks (CC-GAN) and Cycle-Consistent Variational AutoEncoders (CycleVAE) show promising results in many-to-many voice conversion among multiple speakers. However, the number of speakers has been relatively small in the conventional voice conversion studies using the CC-GANs and the CycleVAEs. In this paper, we extend the number of speakers to 100, and analyze the performances of the many-to-many voice conversion methods experimentally. It has been found through the experiments that the CC-GAN shows 4.5 % less Mel-Cepstral Distortion (MCD) for a small number of speakers, whereas the CycleVAE shows 12.7 % less MCD in a limited training time for a large number of speakers.
김종철(Jong-Chul Kim),고봉철(Bong-Chul Ko),정혁진(Hyok-Jin Chong),임형준(Hyung-Jun Rim) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
The paper is development of SRSW(Smart Rear Side Warning) system using 24GHz radar. SRSW system consists of two radar sensors and HMI for driver and ECU. To distinguish closing and falling back vehicle SRSW system use extended kalman filter algorithm. LED and motorized seat belt are used for subject driver to warn the side and rear collision. And hazzard lamp is used for other vehicle driver to warn rear collision. To implemet tracking algorithm and warning algorithm in real time SRSW use ECU. And SRSW systems use TTC warning algorithm for BSD(Blind Spot Detection), LCA(Lane Change Assist) and RPC(Rear Pre Crash). These algorithms are tested and verified on the proving ground and real road.
측후방 충돌 회피를 위한 조향 보조 토크 및 차등 제동 분배 제어 알고리즘 개발
이준영,김동욱,이경수,유현재,정혁진,고봉철,Lee, Junyung,Kim, Dongwook,Yi, Kyongsu,Yoo, Hyunjae,Chong, Hyokjin,Ko, Bongchul 한국자동차안전학회 2013 자동차안전학회지 Vol.5 No.2
This paper describes a coordinated control algorithm for rear-side collision avoidance. In order to assist driver actively and increase driver's safety, the proposed coordinated control algorithm is designed to combine lateral control using a steering torque overlay by Motor Driven Power Steering (MDPS) and differential braking by Vehicle Stability Control (VSC). The main objective of a combined control strategy is twofold. The one is to prevent the collision between the subject vehicle and approaching vehicle in the adjacent lanes. The other is to limit actuator's control inputs and vehicle dynamics to safe values for the assurance of the driver's comfort. In order to achieve these goals, the Lyapunov theory and LMI optimization methods has been employed. The proposed coordinated control algorithm for rear-side collision avoidance has been evaluated via simulation using CarSim and MATLAB/Simulink.
정혁진(Hyokjin Chong),엄대연(Daeyoun Um),고봉철(Bongchul Ko),이인식(Insik Lee) 한국자동차공학회 2008 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this study, an algorithm for Collision Damage Mitigation system (CDM) is developed and implemented on an actual passenger car. The test car consists of a hydraulic brake actuator (ESC) for deceleration, MilliMeter Wave (MMW) radar for detecting leading car/obstacle, Electronic Seatbelt Retractor and main control unit. COM decision and control algorithm is based on relative speed between subject vehicle and leading vehicle/Obstacle and Time To Collision Parameter (TIC). The algorithm is tested and verified on the proving ground for relating with International Standard Organization (ISO) and Japanese Technical Guide..
정용환(Yonghwan Jeong),이경준(Kyoungjun Lee),정혁진(Hyok-Jin Chong),고봉철(Bong-Chul Ko),이경수(Kyongsu Yi) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
This paper presents a vehicle sensor fault tolerant algorithm for automated vehicles. The proposed algorithm consists of a fault detection algorithm and virtual sensor. The fault detection algorithm is designed to monitor the health of steering wheel angle, yaw-rate, and wheel speed sensors. Three yaw-rate estimators using different sensor measurements are used to construct a bank of residuals. A fault of vehicle sensor leads to increase the unique subset of residuals and an adaptive threshold is used to identify the increase of residuals. The virtual sensor is composed of steering wheel angle, yaw-rate, and wheel speed estimators which uses measurements from normal operating sensors. After a faulty sensor is identified, measurement from faulty sensor is replaced by measurement from virtual sensor. The fault tolerant performance and reliability of the proposed algorithm have been validated via computer simulation.