• Journal of Korean Society of Transportation
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• v.16 no.2
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• pp.107-114
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• 1998

복잡해져가고 있는 현재의 교통상황에서 최근 개발되고 있는 HUD(Head-up Display)의 경우는 기능이 다양하므로 운전중 많은 정보가 운전자에게 제시되어야 한다. 이러한 많은 정보를 제공하고 디스플레이하기에는 HUD의 크기에 한계가 있으며, 운전중 운전자에게 부하를 가중시켜 안전에 큰 영향을 미칠 수 있다. 따라서 HUD에 제공될 정보에 대하여 인간공학적 접근과 사용자들의 선호에 맞추는 HMI(Human Machine Interface)연구를 통하여 제시아이템에 대한 중요도 및 우선순위를 파악하고 제시아이템의 아이콘의 형태 및 색채를 결정하는 것은 운전중 안전사고에 대한 발생확률을 감소시킬 수 있을 것이다. 그러므로 본 연구에서는 제시 아이템과 제시 아이콘에 대한 중요도를 파악하였다. 그리고 제시 아이콘의 형태와 색채에 대한 주관적 평가를 통해 그에 대한 아이콘의 형태 및 색채에 대한 새로운 평가 방법에 의한 가이드라인을 제시하고자 한다. 또한 이러한 연구를 통하여 ITS내의 인간요소적인 측면을 고려하여 인간친화적인 ITS구축이 가능할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1051-1053
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• 2012

SCADA, DCS, PLC 등 산업제어시스템은 전기, 수도, 수송, 가스 및 석유와 같은 국가기반시설의 감시 및 제어를 통해 위험의 조기 예측, 대응, 각 공정의 품질 향상 등에 기여하고 있다. 산업제어시스템은 HMI(Human Machine Interface), 이력 데이터베이스, 각 센서 H/W 및 S/W 기술로 구성되는데, 그 중 이력 데이터베이스는 실시간으로 들어오는 디지털 및 아날로그 형태의 이력 데이터에 대한 효과적으로 처리하기 위한 주요 요소이다. 현재, 국내에서는 히스토리안 등 주로 외산 제품에 의존하고 있어 이에 대한 기반 기술 연구 및 관련 산업화가 요구된다. 또한, 이력 데이터베이스의 종류 및 특성에 대한 연구가 선행되어야 한다. 본 논문에서는 산업제어시스템에 주로 적용된 이력 데이터베이스들에 대해 자세히 살펴보고, 일반적으로 사용되는 데이터와 산업제어시스템에서 사용하는 이력 데이터와 트랜잭션의 특징을 살펴봄으로써 산업제어 응용에서 요구되는 이력 데이터베이스가 어떤 모습을 갖추어야 할 지에 대한 이해를 높이고자 한다.

• Journal of Power System Engineering
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• v.21 no.3
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• pp.74-84
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• 2017

This paper presents the development of the underwater cleaning robot platform for a higher efficiency in manufacturing industry. Human operators directly go into the cistern and clean sludge after drainage of the water so far. It is sometimes dangerous because of the harmful chemical materials from the product making process. In addition, it takes long time for water drainage and supplying it back. However, the robot cleaning operation does not need to drain water so that it could be applied to the sludge cleaning work at any time without the plant pause. Moreover, it can prevent the safety accidents because human operators are not necessary to enter directly the sludge cisterns. This paper shows the performance of cleaning work that can be applied in the industrial field through the design and development of underwater cleaning robot platform. And these results demonstrate that the developed underwater cleaning robot has great possibilities to clean other industrial water cisterns.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.228-234
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• 2007

한국과학기술원 인간친화복지로봇 연구센터에서 개발 중인 ISH(Intelligent Sweet Home)는 다양한 서비스 로봇 및 인간-기계 인터페이스(HMI:Human-Machine Interface)를 통해서 노약자 및 장애인의 일상 생활을 도와 줄 수 있는 지능형 주거 공간이다. ISH에서는 홈네트워크를 통해 연결된 가전 기기 및 환경 정보 취득이 가능한 센서 장비, 그리고 지능형 침대, 휠체어, 이동 보조 로봇 등이 거주자가 독립 생활을 영위할 수 있도록 여러 가지 서비스를 제공한다. 하지만 노약자 및 장애인의 관점에서 서비스 양의 증가뿐만 아니라, 이를 쉽고 편하게 운용할 수 있는 서비스 질의 측면 또한 중요하게 고려하여야 한다. 이러한 이유 때문에, ISH에서는 집사 로봇(steward robot)의 개념을 도입하여 거주자와 복잡한 시스템의 효율적인 매개체로 사용하고 있다. 사용자의 편의를 추구하기 위한 공학적인 접근방법 중의 하나로, 본 논문에서는 집사 로봇의 작업 계획 기능에 대해서 설명하도록 한다. 작업 계획 시스템을 이용하여, 집사 로봇은 사용자의 상위 레벨 명령을 해석하여 각 로봇 또는 제어 가능 개체들을 제어하게 된다. 제안하는 시스템은 STRIPS(STanford Research Institute Problem Solver) 상태 표현 방법과 그래프계획(Graphplan) 방법에 기반하여 작업 계획을 수행한다. 또한 작업 계획 속도를 증가 시키기 위하여 공간 추상화(world abstraction)와 하위 목표 계획(subgoal planning)의 개념을 적용하였다. 그리고 ISH에서 정의된 시나리오를 이용한 상위 레벨 명령을 통해 제안된 시스템의 효용성을 검증하도록 한다.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.212-220
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• 2013

Recently, there has been tremendous increase in human-computer/machine interaction system, where the goal is to provide with an appropriate service to the user at the right time with minimal human inputs for human augmented cognition system. To develop an efficient human augmented cognition system based on human computer/machine interaction, it is important to interpret the user's implicit intention, which is vague, in addition to the explicit intention. According to cognitive visual-motor theory, human eye movements and pupillary responses are rich sources of information about human intention and behavior. In this paper, we propose a novel approach for the identification of human implicit visual search intention based on eye movement pattern and pupillary analysis such as pupil size, gradient of pupil size variation, fixation length/count for the area of interest. The proposed model identifies the human's implicit intention into three types such as navigational intent generation, informational intent generation, and informational intent disappearance. Navigational intent refers to the search to find something interesting in an input scene with no specific instructions, while informational intent refers to the search to find a particular target object at a specific location in the input scene. In the present study, based on the human eye movement pattern and pupillary analysis, we used a hierarchical support vector machine which can detect the transitions between the different implicit intents - navigational intent generation to informational intent generation and informational intent disappearance.

• International Journal of Aeronautical and Space Sciences
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• v.16 no.3
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• pp.463-474
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• 2015

Future Ground Control Stations (GCSs) for Unmanned Aerial Vehicles (UAVs) teleoperation targets better situational awareness by providing extra motion cues to stimulate the vestibular system. This paper proposes a new virtual environment for long range Unmanned Aerial Vehicle (UAV) control via Non-Line-of-Sight (NLoS) communications, which is based on motion platforms. It generates motion cues for the teleoperator for extra sensory stimulation to enhance the guidance performance. The proposed environment employs the distributed component simulation over GSM network as a simulation platform. GSM communications are utilized as a multi-hop communication network, which is similar to global satellite communications. It considers a UAV mathematical model and wind turbulence effects to simulate a realistic UAV dynamics. Moreover, the proposed virtual environment simulates a Multiple Axis Rotating Device (MARD) as Human Machine Interface (HMI) device to provide a complete delay analysis. The demonstrated measurements cover Graphical User Interface (GUI) capabilities, NLoS GSM communications delay, MARD performance, and different software workload. The proposed virtual environment succeeded to provide visual and vestibular feedbacks for teleoperators via GSM networks. The overall system performance is acceptable relative to other Line-of-Sight (LoS) systems, which promises a good potential for future long range, medium altitude UAV teleoperation researches.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.12
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• pp.2202-2211
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• 2010

The wind power prediction system is composed of a meteorological forecasting module, calculation module of wind power output and HMI(Human Machine Interface) visualization system. The final information from this system is a short-term (6hr ahead) and mid-term (48hr ahead) wind power prediction value. The meteorological forecasting module for wind speed and direction forecasting is a combination of physical and statistical model. In this system, the WRF(Weather Research and Forecasting) model, which is a three-dimensional numerical weather model, is used as the physical model and the GFS(Global Forecasting System) models is used for initial condition forecasting. The 100m resolution terrain data is used to improve the accuracy of this system. In addition, optimization of the physical model carried out using historic weather data in Jeju. The mid-term prediction value from the physical model is used in the statistical method for a short-term prediction. The final power prediction is calculated using an optimal adjustment between the currently observed data and data predicted from the power curve model. The final wind power prediction value is provided to customs using a HMI visualization system. The aim of this study is to further improve the accuracy of this prediction system and develop a practical system for power system operation and the energy market in the Smart-Grid.

• Journal of Korea Multimedia Society
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• v.12 no.1
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• pp.16-25
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• 2009

In the car environment that the first priority is a safety problem, the large vocabulary isolated word recognition system with POI domain is required as the optimal HMI technique. For the telematics terminal with a highly limited processing time and memory capacity, it is impossible to process more than 100,000 words in the terminal by the general speech recognition methods. Therefore, we proposed phoneme recognizer using the phonetic GMM and also PDM Levenshtein distance with multi-layer architecture for the POI recognition of telematics terminal. By the proposed methods, we obtained high performance in the telematics terminal with low speed processing and small memory capacity. we obtained the recognition rate of maximum 94.8% in indoor environment and of maximum 92.4% in the car navigation environments.

• Journal of IKEEE
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• v.23 no.4
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• pp.1423-1429
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• 2019

Recently, a system that supports efficient interaction, a human machine interface (HMI), has become a hot topic. In this paper, we propose a new real time low-cost hand gesture control system as one of vehicle interaction methods. In order to reduce computation time, depth information was acquired using a time-of-flight (TOF) camera because it requires a large amount of computation when detecting hand regions using an RGB camera. In addition, fourier descriptor were used to reduce the learning model. Since the Fourier descriptor uses only a small number of points in the whole image, it is possible to miniaturize the learning model. In order to evaluate the performance of the proposed technique, we compared the speeds of desktop and raspberry pi2. Experimental results show that performance difference between small embedded and desktop is not significant. In the gesture recognition experiment, the recognition rate of 95.16% is confirmed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.2
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• pp.165-171
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• 2013

WAVE(Wireless Access in Vehicular Environments) is a representative V2V communication protocol and its standards of MAC and PHY parts except for security were published. In order to control traffic flow and ensure driver's safety using V2V communication, various projects are conducting. In particular, safety application has been researched. Therefore, in this paper, we designed the safety application algorithm, which informs a driver of the dangerous status when driver tries to turn left in an intersection and we also implemented the algorithm. Proposed algorithm configures a model for a host vehicle and a vehicle coming in opposite lane and in case that there is collision hazard it provides warning message to driver by using HMI. In order to evaluate the proposed algorithm's performance, we configured the test bed using test vehicles and we tested the algorithm on proving ground with the composed test scenarios. As test results, our system showed excellent performance. If the infrastructures for V2I communications are constructed, we will optimize our system more precisely and stably.