• 제목/요약/키워드: Fusing current

검색결과 42건 처리시간 0.029초

Car Navigation System에서 GPS와 추측항법을 결합한 위치오차의 최소화에 관한 연구 (Minimizing Position Error in a Car Navigation System by fusing GPS and Dead-Reckoning)

  • 이혁중;이창호;김광익
    • 대한공간정보학회지
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    • 제2권2호
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    • pp.81-88
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    • 1994
  • CNS(Car Navigation System)는 국내외적으로 자율주행차량(Autonomous Land Vehicle)연구분야에서 주행계획 용도보다는 일반차량에서 운전자 보조 시스템으로 더 많이 쓰이고 있다. 본 논문에서는 CNS에 한 연구분야인 Global Path Planning의 새로운 위치추적 알고리즘 결과를 개발하였다. 일본과 같은 경우에는 벌써 이러한 CNS의 연구가 활발히 진행되어서 현재는 상품화되어 년간 $40{\sim}50$만개 정도가 팔리고 있고 미국 및 유럽 각국(EC)에서도 CNS의 개발 및 상품화가 활발히 진행되고 있다. 우리나라의 경우엔 아직 주행중인 차량의 현재위치를 구하고 이를 Digital Map상에 실시간으로 구현하는 제 1세대 CNS가 연구 중에 있으나 아직은 초기 단계에 있다. 이에 본 논문은 현재까지 우리나라에서 연구중인 인공위성과 범지구적 위치결정체계(Global Positioning System)만을 이용한 차량 위치 추정 방법에 추측항법체계(Dead_Reckoning)라는 다른 방법을 결합하여 기존의 차량 위치 추정 오차를 줄여주는 새로운 알고리즘을 제시하고 실제차량에서의 실험결과를 보인다.

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A Study on the Automatic Lane Keeping Control Method of a Vehicle Based upon a Perception Net

  • Ahn, Doo-Sung;Choi, Jae-Weon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.160.3-160
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    • 2001
  • The objective of this research is to monitor and control the vehicle motion in order to remove out the existing safety risk based upon the human-machine cooperative vehicle control. A new control method is proposed to control the steering wheel of the vehicle to keep the lane. Desired angle of the steering wheel to control the vehicle motion could be calculated based upon vehicle dynamics, current and estimated pose of the vehicle every sample steps. The vehicle pose and the road curvature were calculated by geometrically fusing sensor data from camera image, tachometer and steering wheel encoder though the Perception Net, where not only the state variables, but also the corresponding uncertainties were propagated in ...

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퍼셉션 넷에 기반한 차량의 자동 차선 위치 제어에 관한 연구 (A Study on the automatic Lane keeping control method of a vehicle based upon a perception net)

  • 부광석;정문영
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.257-257
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    • 2000
  • The objective of this research is to monitor and control the vehicle motion in order to remove out the existing safety risk based upon the human-machine cooperative vehicle control. A predictive control method is proposed to control the steering wheel of the vehicle to keep the lane. Desired angle of the steering wheel to control the vehicle motion could be calculated based upon vehicle dynamics, current and estimated pose of the vehicle every sample steps. The vehicle pose and the road curvature were calculated by geometrically fusing sensor data from camera image, tachometer and steering wheel encoder though the Perception Net, where not only the state variables, but also the corresponding uncertainties were propagated in forward and backward direction in such a way to satisfy the given constraint condition, maintain consistency, reduce the uncertainties, and guarantee robustness. A series of experiments was conducted to evaluate the control performance, in which a car Like robot was utilized to quit unwanted safety problem. As the results, the robot was keeping very well a given lane with arbitrary shape at moderate speed.

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SNAREs in Plant Biotic and Abiotic Stress Responses

  • Kwon, Chian;Lee, Jae-Hoon;Yun, Hye Sup
    • Molecules and Cells
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    • 제43권6호
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    • pp.501-508
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    • 2020
  • In eukaryotes, membraneous cellular compartmentation essentially requires vesicle trafficking for communications among distinct organelles. A donor organelle-generated vesicle releases its cargo into a target compartment by fusing two distinct vesicle and target membranes. Vesicle fusion, the final step of vesicle trafficking, is driven intrinsically by complex formation of soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs). Although SNAREs are well-conserved across eukaryotes, genomic studies revealed that plants have dramatically increased the number of SNARE genes than other eukaryotes. This increase is attributed to the sessile nature of plants, likely for more sensitive and harmonized responses to environmental stresses. In this review, we therefore try to summarize and discuss the current understanding of plant SNAREs function in responses to biotic and abiotic stresses.

CD 스터드 용접의 해석 및 결함 분석 Part 1 : 공정 모델링과 해석 (Analysis of CD Stud Welding Process and Defects Part 1: Process Modeling and Analysis)

  • 오현석;유중돈
    • Journal of Welding and Joining
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    • 제24권3호
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    • pp.34-41
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    • 2006
  • The CD (Capacitor Discharge) stud welding utilizes the arc heat and pressure to attach the stud to the workpiece, which consists of the arc. ignition, arcing and pressure welding stages. In order to predict the dynamic behavior of the CD stud welding process, mechanical and electrical models are employed in this work. While the mechanical model estimates the duration of each stage, the electrical model predicts the voltage and current waveforms using the RLC circuit. Effects of process parameters such as the electric components and spring force are analyzed through simulation. It is found that the contact resistance and gap between the stud and base metal influence the tip fusing and arcing duration. The calculated results showed reasonably good agreements with the experiment results.

Real Scene Text Image Super-Resolution Based on Multi-Scale and Attention Fusion

  • Xinhua Lu;Haihai Wei;Li Ma;Qingji Xue;Yonghui Fu
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.427-438
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    • 2023
  • Plenty of works have indicated that single image super-resolution (SISR) models relying on synthetic datasets are difficult to be applied to real scene text image super-resolution (STISR) for its more complex degradation. The up-to-date dataset for realistic STISR is called TextZoom, while the current methods trained on this dataset have not considered the effect of multi-scale features of text images. In this paper, a multi-scale and attention fusion model for realistic STISR is proposed. The multi-scale learning mechanism is introduced to acquire sophisticated feature representations of text images; The spatial and channel attentions are introduced to capture the local information and inter-channel interaction information of text images; At last, this paper designs a multi-scale residual attention module by skillfully fusing multi-scale learning and attention mechanisms. The experiments on TextZoom demonstrate that the model proposed increases scene text recognition's (ASTER) average recognition accuracy by 1.2% compared to text super-resolution network.

Ag-Cu 합금을 이용한 매우 빠른 동작 특성의 퓨즈 엘리멘트 설계 (Design of very fast acting fuse element using the Ag-Cu alloy)

  • 김은민;이승환;조대권;김신효
    • 전기학회논문지
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    • 제63권8호
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    • pp.1070-1074
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    • 2014
  • With the development of the electronics industry and widespread supply of many different electrical appliances, the factors of the electrical fires are also diversified. For this reason, the fuse, safety-critical component, needs accurate and stable operating characteristics for preventing various fire factor, and also needs various operating characteristics. Especially when the all electrical resistance are dropped by internal short of circuit, high current inrushes and makes the fire. In order to prevent this, very fast acting fuses should be applied. However, existing very fast acting characteristics fuse has less wire dimension of element Ag100% metal than that of fast acting fuse, and it is made of plating with low melting point metals, so it satisfy very fast acting but it can't satisfy durability and safety. For this reason, in this study, through the analyzing fusing characteristics of Ag-Cu alloy composition, the new alloy composition, which implement to very fast acting fuse without decrease of fuse elements dimension, is suggested. And this study classify the operating characteristics changes, a resistance change, and the rated current of the fuse in the overall composition change of Ag-Cu alloying. and it can be utilized for designing fuse.

Series Load Resonant High Frequency Inverter with ZCS-PDM Control Scheme for Induction-Heated Fusing Roller

  • Sugimura, Hisayuki;Kwen, Soon-Kurl;Koh, Kang-Hoon;Lee, Hyun-Woo;Nakaoka, Mutsuo
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2005년도 학술대회 논문집
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    • pp.415-420
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    • 2005
  • This paper presents the two lossless auxiliary inductors-assisted voltage source type half bridge (single ended push pull: SEPP) series resonant high frequency inverter for induction heated king roller in copy and printing machines. The simple high-frequency inverter treated here can completely achieve stable zero current soft switching (ZCS) commutation for wide its output power regulation ranges and load variations under its constant high frequency pulse density modulation (PDM) scheme. Its transient and steady state operating principle is originally described and discussed for a constant high-frequency PDM control strategy under a stable ZCS operation commutation, together with its output effective power regulation characteristics-based on the high frequency PDM strategy. The experimental operating performances of this voltage source SEPP ZCS-PDM series resonant high frequency inverter using IGBTs are illustrated as compared with computer simulation results and experimental ones. Its power losses analysis and actual efficiency are evaluated and discussed on the basis of simulation and experimental results. The feasible effectiveness of this high frequency inverter appliance implemented here is proved from the practical point of view.

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차동 구동형 로봇의 비정형 환경 주행 경로 추종 성능 향상을 위한 Pure pursuit와 속도 계획의 융합 알고리즘 (A Fusion Algorithm of Pure Pursuit and Velocity Planning to Improve the Path Following Performance of Differential Driven Robots in Unstructured Environments)

  • 김봉상;이규호;백승범;이성희;문희창
    • 로봇학회논문지
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    • 제18권3호
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    • pp.251-259
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    • 2023
  • In the path traveling of differential-drive robots, the steering controller plays an important role in determining the path-following performance. When a robot with a pure-pursuit algorithm is used to continuously drive a right-angled driving path in an unstructured environment without turning in place, the robot cannot accurately follow the right-angled path and stops driving due to the ground and motor load caused by turning. In the case of pure-pursuit, only the current robot position and the steering angle to the current target path point are generated, and the steering component does not reflect the speed plan, which requires improvement for precise path following. In this study, we propose a driving algorithm for differentially driven robots that enables precise path following by planning the driving speed using the radius of curvature and fusing the planned speed with the steering angle of the existing pure-pursuit controller, similar to the Model Predict Control control that reflects speed planning. When speed planning is applied, the robot slows down before entering a right-angle path and returns to the input speed when leaving the right-angle path. The pure-pursuit controller then fuses the steering angle calculated at each path point with the accelerated and decelerated velocity to achieve more precise following of the orthogonal path.

Industrial IoT를 위한 데이터베이스 접근 기반 장비 제어 시스템 개발 (Development of Equipment Control System based on DB Access Method for Industrial IoT)

  • 조경우;전민호;오창헌
    • 한국정보통신학회논문지
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    • 제20권6호
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    • pp.1142-1147
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    • 2016
  • 최근 다양한 분야에 걸쳐 ICT 기술을 융합하여 지능적인 서비스를 제공하는 IoT에 대한 다양한 연구가 진행되고 있다. 특히 독일의 'Industry 4.0'의 등장으로 제조 산업에 ICT를 융합하여 생산능력을 극대화 하는 industrial IoT의 중요성이 강조되고 있다. 이에 국내에서도 industrial IoT의 근간이 되는 스마트 팩토리 보급을 위한 다양한 노력이 진행 중이다. 그러나 현재의 스마트 팩토리 시스템은 장비의 임베디드 시스템에 선언된 데이터를 통해 설비를 제어하며, 다수의 설비가 배치되어 있는 환경에 대처하기 어렵다. 본 논문에서는 industrial IoT를 위해 장비의 변수 정보를 DB화하여 장비를 제어하는 데이터베이스 접근 기반 장비 제어 시스템을 제안한다. 제안하는 시스템을 다양한 변수가 존재하는 사출 시스템에 적용하여 데이터베이스의 수정으로 다수의 장비를 제어하는데 효율적임을 확인하였다.