• Title/Summary/Keyword: 핸들

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자율주행 자동차의 전기적 파워 조향 시스템을 위한 제어 기법의 개관

  • Son, Yeong-Seop;Kim, Won-Hui;Jeong, Jeong-Ju
    • ICROS
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    • v.21 no.1
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    • pp.31-36
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    • 2015
  • 운전자에게 편의성을 제공하는 차량의 주행관련 Advanced driver assist system (ADAS)에는 차량의 종방향과 횡방향 운동에 대한 제어기가 요구된다. 횡방향 제어를 위해서는 조향 시스템의 조향각 제어가 요구되는데 최근 구조적으로 간단하고 연비향상, 차량의 중량 감소, 빠른 응답성을 가지고 있는 전기적 파워 조향 (Electric power steering, EPS) 시스템이 자동차 산업에서 널리 사용되고 있다. 차량의 주행관련 ADAS를 사용하여 자율 주행 시 EPS 시스템은 상위 제어기에서 계산된 필요한 조향각을 추종 할 수 있도록 조향 핸들의 각 제어를 해야 한다. 그러나 일반적인 EPS 시스템은 운전자가 조향 핸들에 인가된 토크를 보조해 줄 수 있는 토크를 출력해 준다. 본 논문에서는 이러한 문제를 해결하는 방법들을 설명한다. 먼저 EPS 시스템의 기본 기능에 대해서 설명을 하고, 자율 추행 차량을 위한 조항 핸들의 각 제어를 위한 proportional-integral 제어, 슬라이딩 모드 제어 (Sliding mode control), 관측기 기반 비선형 댐핑 제어(Observer based nonlinear damping control) 등과 같은 다양한 기법의 제어 알고리즘들에 대한 방법들이 고찰되었다.

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Multi-View Image Parking Assistant System using Vehicle Data (차량 정보를 이용한 멀티뷰 영상 주차 보조 시스템)

  • Lee, Min-Goo;Jung, Kyung-Kwon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.2
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    • pp.266-272
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    • 2012
  • This paper presents a parking assistant system of multi-view using vehicle data. Proposed system provides the driver with three direction of the scenes surrounding vehicle. Depending on the handle rotation, the proposed system displays views from multiple wide-angle CCD cameras on the laptop screen to reduce blind spots, support smooth parallel or garage parking, and support comfortable and safe driving. The handle angle and gear position are obtained from ABS ECU through OBD-II port. The performance of proposed system is validated by vehicle experiments.

A Proposal for Detection and Traceback System against DDoS Attack (DDoS 공격에 대한 탐지 및 추적시스템 제안)

  • 이근수;박지현;장진용;송주석;유동영
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2001.11a
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    • pp.39-42
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    • 2001
  • 인터넷 기술자 시장의 급성장으로 인터넷통신은 우리 생활속에 크게 자리잡고 있다. 그런 만큼 인터넷으로부터 얻는 정보는 가히 무시할 수 없을 정도이다. 이런 환경에서 최근 웹사이트의 정상적인 서비스를 방해하는 DDoS 공격은 공격방법과 은닉기법이 날로 첨단화·다양화되고 있어, 이에 대한 탐지와 근원지 추적이 어려운 상태이다. 따라서 본 논문에서는 DDoS 공격의 중간 계층인 핸들러와 에이전트를 추적하기 위해, 핸들러·에이전트간의 통신 취약점을 이용, 이를 탐지하고 역추적할 수 있는 시스템을 제안하고자 한다.

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리턴 스택 버퍼를 이용한 마이크로아키텍처 데이터 샘플링 공격

  • Kim, Taehyun;Shin, Youngjoo
    • Review of KIISC
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    • v.31 no.1
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    • pp.25-39
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    • 2021
  • 마이크로아키텍처 데이터 샘플링 공격 중 하나인 Zombieload 공격은 마이크로코드 어시스트를 이용하여 물리 코어를 공유하는 다른 논리 코어가 접근하는 데이터를 읽는 공격이다. 마이크로코드 어시스트는 페이지 폴트 과정에서 로드 명령어를 수행할 때 발생하므로, Zombieload 공격은 시그널 핸들러 또는 TSX로 페이지 폴트를 처리 또는 억제한다. 그러나 시그널 핸들러에서 발생하는 잡음과 TSX를 지원하는 프로세서 수의 부족이 Zombieload 공격의 효율을 감소시킨다. 본 논문에서는 페이지 폴트를 RSB를 이용한 잘못된 추측 실행으로 처리하여, 기존의 한계점을 개선한 새로운 Zombieload 공격을 제안한다. 제안한 공격의 성능을 평가하기 위해, 실험을 통해 기존의 Zombieload 공격과 성능을 비교한다. 끝으로 제안한 공격을 막기 위해 여러 가지 방어 기법을 제시한다.

EMG Signal Analysis of Upper Extremity Motor Function using Balance-handle Device (밸런스 핸들 장치를 이용한 상지 운동 기능의 근전도 신호 분석)

  • Lee, Choong-Keun;Song, Ki-Ho;An, Jae-Yong;Shin, Sung-Wook;Chung, Sung-Taek
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.10 no.4
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    • pp.295-303
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    • 2016
  • Rehabilitation of upper limb motor function of hemiplegic patient must maintain interest and demand a device for a quantitative evaluation of rehabilitation training. In this paper, we developed the device that is composed of arm cradle, handle, and balance ball for rehabilitation exercise. We have performed experiment for validity as to whether to use the rehabilitation device when tilting the upper extremity training device developed to measure changes in the EMG signal to the main upper limb muscles for 7 healthy volunteers. We have analyzed muscle activation signals on agonist and antagonist as a reference in the muscle contraction and relaxation in the upper limb extension and flexion when the balance-handle device is tilted to front-rear and left-right. The experimental results showed that a tendency of muscle activation of biceps, triceps, and deltoid used in upper limb motor function of hemiplegic patients from extension and flexion evaluation items of Fugl-Meyer Assessment(FMA). These results may be helpful for rehabilitation training for upper limb motor function of hemiplegic patients by utilizing a developed unit.

Evaluation of Shock-Absorbing Performance of Three-Different Types of Bicycle Suspension Systems (자전거에서 서스펜션 종류에 따른 인체영향 시뮬레이션)

  • Chung, Kyung-Ryul;Hyeong, Joon-Ho;Kim, Sa-Yup
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.7
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    • pp.943-946
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    • 2010
  • In this study, a front suspension system, which is mounted on the handle itself, was suggested because of its light weight and cost efficiency. The shock absorption was evaluated for the three types of suspension models; non-suspension, suspension on front forks (existing model), and suspension on handle (suggested model). The human body model was used for performing impact simulation for comparing the shock absorption for the suspension models. The result of the simulation shows that shock absorption for the proposed suspension model was not as good as that for the front fork suspension model. Nevertheless, the shock absorption observed for the proposed suspension model was significant when compared to the non-suspension model. Consequently, the proposed suspension model could be applied to lightweight bicycles.

Biomechanical Analysis of Arm Motion during Steering Using Motion Analysis Technique (동작분석기법을 이용한 조향동작에 대한 팔의 생체역학적 특성분석)

  • Kim, Young-Hwan;Tak, Tea-Oh
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.11
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    • pp.1391-1398
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    • 2011
  • Biomechanical analysis of arm motion during steering was performed using a motion analysis technique. Three-dimensional position data for each part of arm are fed into an interactive model combining a musculoskeletal arm model and the mechanical steering system to calculate joint angles and torques using inverse kinematic and dynamic analyses, respectively. The analysis shows that elbow pronation/supination, wrist flexion/extension, shoulder adduction/abduction, and shoulder flexion/extension have significant magnitudes. Sensitivity analysis of the arm joint motion with respect to seating posture and steering wheel configuration is carried out to investigate the qualitative influence of the seating posture and driver's seat configuration on the steering behavior.

Structure and Fatigue Analyses of the Inspection Equipment Frame of a Semiconductor Test Handler Picker (반도체 테스트 핸들러 픽커 검사장비 프레임에 대한 구조 및 피로해석)

  • Kim, Young-Choon;Kim, Young-Jin;Kook, Jeong-Han;Cho, Jae-Ung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.10
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    • pp.5906-5911
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    • 2014
  • Currently, there are many processes of package assembly and inspections of real fields that examine whether a manufactured semiconductor can be operated regularly and can endure low humidity or high temperatures. As the inspection equipment of a semiconductor test handler picker has been used at the inspection process, these inspection equipment frames were modelled in 3D and these models were analyzed using 3 kinds of fatigue loadings. As the analysis result, maximum deformation occurred at the midparts of the frames at cases 1 and 2. Among the cases of nonuniform fatigue loads, the 'SAE bracket history' with the severest change in load became the most unstable but the 'Sample history' became the most stable. Fatigue analysis result can be used effectively with the design of an inspecting equipment frame of a semiconductor test handler picker to examine the prevention and durability against damage.

A Method for Driver Recognition and Steering Wheel Turning Direction Estimation Using Smartwatches (스마트워치를 이용한 자동차운전자 구분 및 핸들의 회전 방향 인지 기법)

  • Huh, Joon;Choi, Jaehyuk
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.844-851
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    • 2019
  • As wearable technology is becoming more common and a part of our lives, there have been many efforts to offer various smart services with wearable devices, such as motion recognition, safety of driving, and so on. In this paper, we present a method that exploits the 9-axis inertial sensors embedded in a smartwatch to identify whether the user is a vehicle driver or not and to estimate the steering wheel turning direction in the vehicle. The system consists of three components: (i) position recognition, (ii) driver recognition, and (iii) steering-wheel turning detection components. We have developed a prototype system for detecting user's motion with Arduino boards and IMU sensors. Our experiments show high accuracy in recognizing the driver and in estimating the wheel rotation angle. The average experimental error was $11.77^{\circ}$ which is small enough to perceiver the turning direction of steering-wheel.