• Title/Summary/Keyword: Auto Focus Driver

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A Research of Power-Efficient Driving Scheme for Auto-Focus on Image Sensor Module (이미지 센서 모듈을 위한 자동-초점 기능의 전력-효율적인 구동 방법에 대한 연구)

  • Cha, Sang-Hyun;Park, Chan-Woo;Lee, Yuen-Joong;Hwang, Byoung-Won;Kwon, Oh-Jo;Park, Deuk-Hee;Kwon, Kyoung-Soo;Lee, Jae-Shin;Hwang, Shin-Hwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.12
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    • pp.1197-1202
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    • 2009
  • We present a power-efficient driving scheme that consists of piezoelectric actuator and driver IC for AF (Auto-Focus) on ISM (Image Sensor Module). The piezoelectric actuator is more power-efficient than conventional voice coil motor actuator. And high power-efficiency driver IC is designed. So the proposed driving scheme using designed piezoelectric actuator and driver IC is more close to recent trend of green IT. The diver IC should guarantee fast and accurate performance. So, the optimum driving method and high accurate frequency synthesizer are proposed. The die area of designed driver IC is $2.0{\times}1.6mm^2$ and power consumption is 2.8mW.

A Design of Piezo Driver IC for Auto Focus Camera System (디지털카메라의 자동초점제어를 위한 피에조 구동회로의 설계)

  • Lee, Jun-Sung
    • Journal of IKEEE
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    • v.14 no.3
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    • pp.190-198
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    • 2010
  • This paper describes a auto focus piezo actuator driver IC for portable digital camera. The 80[V] DC voltage is generated by a DC-DC converter and supplied to power of piezo moving control circuit. The voltage of piezo actuator needs range -20[V] to 80[V] proportional to 1[Vp-p] input control voltages. The dimensions and number of external parts are minimized in order to get a smaller hardware size. IIC(Inter-IC) interface logic is designed for data interface and it makes debugging easy, test for mass productions. The power consumption is around 40[mW] with supply voltage of 3.6[V]. This device has been fabricated in a 0.6[um] double poly, triple metal 100[V] BCD MOS process and whole chip size is 1600*1500 [$um^2$].

A Study on Sled Test Method for Evaluating Autonomous Vehicle Crash Safety (자율주행자동차 충돌안전성 평가를 위한 Sled 기반 시험방법에 대한 고찰)

  • Hoyeol Lee;Jeongmin In;Hyungjin Chang;Myungsu Lee
    • Journal of Auto-vehicle Safety Association
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    • v.16 no.3
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    • pp.55-63
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    • 2024
  • As autonomous driving performance, such as automatic emergency braking (AEB) and advanced driver assistance systems (ADAS), continues to improve, collision angles and occupant seating postures become more diverse, and there is a need to study how occupant injury mechanisms change depending on the type of collision. Accordingly, a representative crash test mode was derived. Using the derived crash test mode, we analyzed the crash injury mechanism according to the impact angle and the occupant's seating posture (seat back angle). Sled is a crash simulation test that applies a pulse corresponding to the vehicle body acceleration pulse generated during a collision. Sled testing has advantages in terms of cost and time compared to actual vehicle crash testing. We focus on the correlation between crash tests reflecting autonomous vehicle crash modes and Sled tests. The results obtained through this study can be used to develop new crash evaluation methods. As a result, we will present the results of an experimental study on the actual vehicle crash test Sled test method.

Determinants of Safety and Satisfaction with In-Vehicle Voice Interaction : With a Focus of Agent Persona and UX Components (자동차 음성인식 인터랙션의 안전감과 만족도 인식 영향 요인 : 에이전트 퍼소나와 사용자 경험 속성을 중심으로)

  • Kim, Ji-hyun;Lee, Ka-hyun;Choi, Jun-ho
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.573-585
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    • 2018
  • Services for navigation and entertainment through AI-based voice user interface devices are becoming popular in the connected car system. Given the classification of VUI agent developers as IT companies and automakers, this study explores attributes of agent persona and user experience that impact the driver's perceived safety and satisfaction. Participants of a car simulator experiment performed entertainment and navigation tasks, and evaluated the perceived safety and satisfaction. Results of regression analysis showed that credibility of the agent developer, warmth and attractiveness of agent persona, and efficiency and care of the UX dimension showed significant impact on the perceived safety. The determinants of perceived satisfaction were unity of auto-agent makers and gender as predisposing factors, distance in the agent persona, and convenience, efficiency, ease of use, and care in the UX dimension. The contributions of this study lie in the discovery of the factors required for developing conversational VUI into the autonomous driving environment.

Development of KHU Automatic Observing Software for McDonald 30inch telescope (KAOS30)

  • Ji, Tae-Geun;Byeon, Seoyeon;Lee, Hye-In;Jung, Hyunsoo;Lee, Sang-Yun;Hwang, Sungyong;Choi, Changsu;Gibson, Coyne A.;Kuehne, John;Marshall, Jennifer;Im, Myungshin;Pak, Soojong
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.2
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    • pp.57.1-57.1
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    • 2017
  • Automatic observing is the most efficient system for sky surveys that image many targets over large areas of the sky. Such a system requires the integrating control software that systematically manages astronomical instruments that are not connected to each other. In February of 2017, we installed a wide-field 10 inch telescope for Supernovae survey on the McDonald 30 inch telescope as a piggyback system. However, during the observations, information such as target coordinates could not be exchanged with the telescope mount. The reason is the program that controls the telescope control system (TCS) and the program that controls the imager operate on independent PCs. KAOS30 is an integrated observing software developed to improve this environment. The software is composed of four packages that are the Telescope Control Package (TCP), the Data Acquisition Package (DAP), the Auto Focus Package (AFP), and the Script Mode Package (SMP). The TCP communicates to the TCS and also communicates weather information. SMP supports automatic observing in a script mode, which improves the efficiency of the survey. KAOS30 was developed based on Visual C ++ and runs on the Windows operating system. It also supports the ASCOM driver platform for various manufacturers. The instruments that support ASCOM can be installed without modification of the program code. KAOS30 can be applied as software for many different telescopes in future projects.

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