• Title/Summary/Keyword: HMI (Human Machine Interface)

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BIM Based Intelligent Excavation System (BIM 기반 지능형 굴삭시스템)

  • Kim, Jeong-Hwan;Seo, Jong-Won
    • Journal of KIBIM
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    • v.1 no.1
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    • pp.1-5
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    • 2011
  • Earthwork is important in terms of construction time and duration, and highly related to the construction productivity. However, current earthwork system has stick to labor intensive process depending on skilled operator's heuristic decision making, so it is hard to improve overall productivity. To overcome this drawback, this paper presents a BIM based Intelligent Excavation System(IES). The BIM technology is applied in the excavation task planning system, Human-Machine Interface for remote-control/autonomous work environment, and web-based Project Management Information System(PMIS) in the IES integration process, and the results are addressed.

Design of Smartfarm Environment Controller Using Fuzzy Control Method and Human Machine Interface for Livestock Building (퍼지 제어법과 HMI를 이용한 축사용 스마트팜 환경 제어기 설계)

  • Byeong-Ro Lee;Ju-Won Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.3
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    • pp.129-136
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    • 2022
  • The most important part of the smart livestock building system is to maintain a breeding environment so that livestock can grow to high quality despite changes in the internal and external atmospheric environment. Especially, it is very important to maintain the temperature and humidity in the livestock building because various diseases occur during the summer and winter. To manage the environment suitable for livestock, a smartfarm system for livestock building is applied, but it is very expensive. In this study, we propose a hardware design and control method for low cost system based on HMI and fuzzy control. To evaluate the performance of the proposed system, we did a simulation experiment in the atmospheric conditions of summer and winter. As a result, it showed the performance of minimizing the temperature and humidity stress of livestock. And when applied to the livestock building, the proposed system showed stable control performance even in the change of the external atmospheric environment. Therefore, as with these results, if proposed system in this study is applied to the smart farm system, it will be effective in managing the environment of livestock building.

Modeling and Simulation of HMI Behaviors of 3D Virtual Products using XML (XML을 이용한 3D 가상 제품의 HMI 행동양태 모델링과 시뮬레이션 방안)

  • Jung, Ho-Kyun;Park, Hyungjun
    • Korean Journal of Computational Design and Engineering
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    • v.20 no.1
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    • pp.75-83
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    • 2015
  • In the virtual prototyping (VP) of digital products, it is important to provide the people involved in product development with the visualization and interaction of the products, and the simulation of their human machine interaction (HMI) behaviors in interactive 3D virtual environments. Especially, for the HMI behavior simulation, it is necessary to represent them properly and to play them back effectively according to user interaction in the virtual environments. In a conventional approach to HMI behavior simulation, user interface (UI) designers use UI design software tools to generate the HMI behavior of a digital product of interest. Due to lack of reusability of the HMI behavior, VP developers need to analyze and integrate it into a VP system for its simulation in a 3D virtual environment. As this approach hinders the effective communication between the UI designers and the VP developers, it is easy to create errors and thereby it takes significant time and effort especially when it is required to represent the HMI behavior to the finest level of detail. In order to overcome the shortcomings of the conventional approach, we propose an approach for representing the HMI behavior of a digital product using XML (eXtensible Markup Language) and for reusing it to perform the HMI behavior simulation in 3D virtual environments. Based on the approach, a VP system has been developed and applied for the design evaluation of various products. A case study about the design evaluation is given to show the usefulness of the proposed approach.

Development of Human Factors Evaluation System for Car Navigation System (자동차 항법장치의 인간공학 평가시스템 개발)

  • Cha, Doo-Won;Park, Peom
    • IE interfaces
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    • v.12 no.2
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    • pp.294-304
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    • 1999
  • This paper describes the theoretical background and detailed structure of Navi-HEGS (Navigation system Human factors Evaluation and Guideline System) which has been developed for the human factors and HMI(Human-Machine Interface) researches for a CNS (Car Navigation System) and a digital map. Navi-HEGS is and integrated system that consists of a digital map UIMS(User Interface Management System), a CNS simulator, various evaluation tools, and a design guideline system. If Navi-HEGS is properly applied and utilized, it is possible to extract the substantial users requirements and preferences of a CNS and a digital map and then, these requirements can be simulated and evaluated with various human factors evaluation techniques. Applications of Navi-HEGS can improve the CNS usability, drivers safety and performance that directly affect the success of ITS(Intelligent Transport System). Also, results can be used as the basic data to establish the standards and design guidelines for the driver-centered CNS design.

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A Study on Application Methodology of SPDL Based on IEC 62443 Applicable to SME Environment (중소기업환경에서 적용 가능한 IEC 62443 기반의 개발 보안 생애주기 프로세스 적용 방안 연구)

  • Jin, Jung Ha;Park, SangSeon;Kim, Jun Tae;Han, Keunhee
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.6
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    • pp.193-204
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    • 2022
  • In a smart factory environment in a small and medium-sized enterprise (SME) environment, sensors and actuators operating on actual manufacturing lines, programmable logic controllers (PLCs) to manage them, human-machine interface (HMI) to control and manage such PLCs, and consists of operational technology server to manage PLCs and HMI again. PLC and HMI, which are in charge of control automation, perform direct connection with OT servers, application systems for factory operation, robots for on-site automation, and production facilities, so the development of security technology in a smart factory environment is demanded. However, smart factories in the SME environment are often composed of systems that used to operate in closed environments in the past, so there exist a vulnerable part to security in the current environment where they operate in conjunction with the outside through the Internet. In order to achieve the internalization of smart factory security in this SME environment, it is necessary to establish a process according to the IEC 62443-4-1 Secure Product Development Life cycle at the stage of smart factory SW and HW development. In addition, it is necessary to introduce a suitable development methodology that considers IEC 62443-4-2 Component security requirements and IEC 62443-3 System security requirements. Therefore, this paper proposes an application plan for the IEC 62443 based development security process to provide security internalization to smart factories in an SME environment.

Development of HMI(Human-Marchine Interface) Assessment System and Derivation of Design Variables for Vehicle Navigation System (자동차 항법장치 인간-기계 인터페이스 평가시스템 개발 및 설계 변수 추출에 관한 연구)

  • Cha, Du-Won;Lee, Je-Geun;Park, Beom;Lee, Seung-Hwan
    • Journal of Korean Society of Transportation
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    • v.15 no.2
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    • pp.35-48
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    • 1997
  • 항법장치 인간-기계 인터페이스(HUMAN-Machine Interface)는 운전자의 편안함과 안전, 수행도 및 시스템의 사용성, 도로, 안전의 향상 등을 위한 중요한 요소로 인식되고 있 다. 그러므로 항법장치 인간-기계 인터페이스 체계가 운전자와 교통에 미치는 영향은 직접 적인 항법장치의 시장성 확보와 첨단교통체계의 전개와 성공에 영향을 미치는 중요한 기술 로 떠오르고 있으며, 특히 선진국의 인간-기계 인터페이스 표준의 연구 및 제정의 노력으로 인해 항법장치의 인간-기계 인터페이스 설계 및 평가를 위한 가이드라인과 효율적인 평가 방법의 개발이며, 이들의 데이터베이스화 역시 설계 및 평가 효율향상을 위한 기본적으로 중요하게 여겨지는 연구과제이다. 본 논문은 기존 항법장치 인간공학적 평가 방법들의 비교 평가를 통해서 적합한 항법장치의 평가방법론과 추출된 항법장치 인간-기계 인터페이스 설 계 변수를 제시하며, 이들을 가이드라인화하여 데이터베이스화 할 수 있도록 설계된 Navi HEGS(Navigation HMI Evaluation & Guideline System)에 대하여 기술한다. 또한 실험을 통하여 본 논문에서 제시된 주관적 평가 방법인 RNASA-TLX(Revision of NASA-Task Load Index)와 운전자의 시각분석의 결과를 본 시스템을 사용하여 분석 제시하며, 이들을 통해 국내 항법장치 인간-기계 인터페이스 연구의 기반을 제시하고자 한다.

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Gaze Direction Estimation Method Using Support Vector Machines (SVMs) (Support Vector Machines을 이용한 시선 방향 추정방법)

  • Liu, Jing;Woo, Kyung-Haeng;Choi, Won-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.4
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    • pp.379-384
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    • 2009
  • A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of $-90^{\circ}{\sim}90^{\circ}$ and tilt range of $-40^{\circ}{\sim}70^{\circ}$ with intervals unit of $10^{\circ}$ were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.

Human Hand Detection Using Color Vision (컬러 시각을 이용한 사람 손의 검출)

  • Kim, Jun-Yup;Do, Yong-Tae
    • Journal of Sensor Science and Technology
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    • v.21 no.1
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    • pp.28-33
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    • 2012
  • The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

Design and Implementation of Real-time Audio and Video System Using Red5 and Node.js (Red5와 Node.js를 활용한 실시간 음성 및 영상 시스템의 설계 및 구현)

  • Kim, Hyeock-Jin;Kwark, Woo-Young
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.10
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    • pp.159-168
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    • 2014
  • The Web is a way to share documents and communicate. However, voice and video data can be transmission in real time and currently being developed by the objects and the objects that interact to further develop the Internet. Existing video and audio programs to transmission data to the interface of different types of systems a lot of constraint condition on the cost of the interface, extensibility. In this paper, voice and audio transmission system a different operating system, improve the constraints of the ERP system compatibility and extensibility is a open source based system developed by the research. The program is different types of systems and interface, extensibility with program design and development methodologies, and open source-based system composed This system is good for cost saving and extensibility. Therefore, systems research and development, Extensibility and excellent on the interface, system design and development methodologies, such as real-time video conferencing, HMI, and take advantage of your video available from SNS.

Design and Implementation of CNN-based HMI System using Doppler Radar and Voice Sensor (도플러 레이다 및 음성 센서를 활용한 CNN 기반 HMI 시스템 설계 및 구현)

  • Oh, Seunghyun;Bae, Chanhee;Kim, Seryeong;Cho, Jaechan;Jung, Yunho
    • Journal of IKEEE
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    • v.24 no.3
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    • pp.777-782
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    • 2020
  • In this paper, we propose CNN-based HMI system using Doppler radar and voice sensor, and present hardware design and implementation results. To overcome the limitation of single sensor monitoring, the proposed HMI system combines data from two sensors to improve performance. The proposed system exhibits improved performance by 3.5% and 12% compared to a single radar and voice sensor-based classifier in noisy environment. In addition, hardware to accelerate the complex computational unit of CNN is implemented and verified on the FPGA test system. As a result of performance evaluation, the proposed HMI acceleration platform can be processed with 95% reduction in computation time compared to a single software-based design.