• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.492-496
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• 1987

The testing philosophy and control schemes are investigated and applied to construct the Automatic Microwave Leakage Inspection System (AMLIS) . AMLIS is consists of three major parts such as Material Handling Mechanism, Fine Positioning Mechanism and Scanning Mechanism. The material Handling unit is designed to perform loading and unloading microwave oven onto the testing point by pneumatic cylinder and vacuum pump. The Fine positioning part includes X-Y-.THETA. table and distance sensing equipment. The scanning part is composed of five SCARA robots, which traverse X-Y-Z catesian coordinates respectively. The leakage testing probes are placed at the end of this each robot then the path and speed are both controlled via microprocessors. A performance test of this system combined with electric parts and software is done and the basic major function of system are accomplished.

• 제어로봇시스템학회논문지
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• 제16권10호
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• pp.991-996
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• 2010

In this paper, a new indoor positioning system based on incident angle measurement of infrared sensor has been suggested. Though there have been various researches on indoor positioning systems using vision sensor or ultrasonic sensor, they have not only advantages, but also disadvantages. In a new positioning system, there are three infrared emitters on fixed known positions. An incident angle sensor measures the angle differences between each two emitters. Mathematical problems to determine the position with angle differences and position information of emitters has been solved. Simulations and experiments have been implemented to show the performance of this new positioning system. The results of simulation were good. Since there existed problems of noise and signal conditioning, the experimented has been implemented in limited area. But the results were acceptable. This new positioning method can be applied to any indoor systems that need absolute position information.

• 전자공학회논문지
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• 제54권8호
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• pp.107-114
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• 2017

본 논문에서는 3상 4선식 전력계통에서 새로운 전압제어 방식의 역률보상시스템을 제안한다. 제안하는 전압제어 방식의 역률보상시스템은 슬라이닥을 이용하여 가변되는 출력전압을 커패시터에 인가하는 것으로 보상에 필요한 무효전력을 생성한다. 기존의 커패시터 뱅크 방법을 이용하는 역률보상시스템은 선택 가능한 커패시터 용량이 한정되어 있어 부하 상황에 따라 역률보상 오차가 발생하지만, 제안 시스템은 변화하는 부하를 추종하여 오차 없이 역률을 100%까지 보상할 수 있다. 본 논문에서는 3상 4선식 전력계통에서 전압제어 방식의 역률보상시스템과 제어 알고리즘을 개발하였고 모의실험과 실험을 통해 성능을 확인한다. 제안 시스템을 수용가에 설치할 경우 역률 개선을 통한 전기료 감소, 선로손실 감소, 부하 용량 증대 효과가 기대된다. 특히 발전 사업가 측에서는 역률 보상 성능의 향상으로 송전 여유 용량 확보와 발전량 절감이 가능하다.

• 제어로봇시스템학회논문지
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• 제18권12호
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• pp.1106-1114
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• 2012

To achieve synchronized motion between a wearable robot and a human user, the redundancy must be resolved in the same manner by both systems. According to the seven DOF (Degrees of Freedom) human arm model composed of the shoulder, elbow, and wrist joints, positioning and orientating the wrist in space is a task requiring only six DOFs. Due to this redundancy, a given task can be completed by multiple arm configurations, and thus there exists no unique mathematical solution to the inverse kinematics. This paper presents analysis on the kinematic and dynamic aspect of the human arm movement and their effect on the redundancy resolution of the human arm based on a seven DOF manipulator model. The redundancy of the arm is expressed mathematically by defining the swivel angle. The final form of swivel angle can be represented as a linear combination of two different swivel angles achieved by optimizing different cost functions based on kinematic and dynamic criteria. The kinematic criterion is to maximize the projection of the longest principal axis of the manipulability ellipsoid for the human arm on the vector connecting the wrist and the virtual target on the head region. The dynamic criterion is to minimize the mechanical work done in the joint space for each two consecutive points along the task space trajectory. As a first step, the redundancy based on the kinematic criterion will be thoroughly studied based on the motion capture data analysis. Experimental results indicate that by using the proposed redundancy resolution criterion in the kinematic level, error between the predicted and the actual swivel angle acquired from the motor control system is less than five degrees.

• 대한용접접합학회:학술대회논문집
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• 대한용접접합학회 2002년도 Proceedings of the International Welding/Joining Conference-Korea
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• pp.706-713
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• 2002

In the multi-pass welding of pressure vessels or ships, the mechanical touch sensor system is generally used together with a manipulator to measure the gap and depth of the narrow gap to perform seam tracking. Unfortunately, such mechanical touch sensors may commit measuring errors caused by the eterioration of the measuring device. An automation system of narrow gap multi-pass welding using a laser vision system which can track the seam line of narrow gap and which can control welding power has been developed. The joint profile of the narrow gap, with 250mm depth and 28mm width, can be captured by laser vision camera. The image is then processed for defining tracking positions of the torch during welding. Then, the real-time correction of lateral and vertical position of the torch can be done by the laser vision system. The adaptive control of welding conditions like welding Currents and welding speeds, can also be performed by the laser vision system, which cannot be done by conventional mechanical touch systems. The developed automation system will be adopted to reduce the idle time of welders, which happens frequently in conventional long welding processes, and to improve the reliability of the weld quality as well.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권8호
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• pp.374-379
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• 2002

In this study, we developed a new human arm movement detection system using electrical bio-impedance method with several skin-electrodes. The correlation coefficients of the joint angle and the impedance change from human arm movement was obtained using a goniometer and impedance measurement system developed in this study. The correlation coefficients of the wrist and the elbow movements were 0.94 and -0.99, respectively. This system was applied to control a robotic arm by converting the measured impedance to joint angle to confirm the validity of the proposed system. In conclusion, we confirmed that this system can control the robotic arm according to arm movement without any limitation of movement. This system showed possibility that upper arm movement could be easily measured by impedance measurement system with a few skin-electrodes.

• 대한전자공학회논문지SP
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• 제40권5호
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• pp.312-321
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• 2003

본 논문은 장애물을 인식하고 회피하면서 목적지까지 자율적으로 이동할 수 있는 로봇을 구현한 논문이다. 우리는 본 논문에서 영상처리보드의 구현이라는 하드웨어적인 부분과 자율 이동로봇을 위한 영상궤환 제어라는 소프트웨어의 두 가지 결과를 나타내었다. 첫 번째 부분에서, 영상처리를 수행하는 제어보드로부터 명령을 받는 로봇을 나타내었다. 우리는 오랫동안 CCD카메라를 탑재한 자율 이동로봇에 대하여 연구해왔다. 로봇의 구성은 DSP칩을 탑재한 영상보드와 스텝모터 그리고 CCD카메라로 구성된다. 시스템 구성은 이동로봇의 영상처리 보드에서 영상을 획득하고 영상처리 알고리즘을 수행하고 로봇의 이동경로를 계산한다. 이동로봇에 탑재된 CCD카메라에서 획득한 영상 정보는 매 샘플링 시간마다 캡쳐한다. 화면에서 장애물의 유무를 판별한 후 좌 혹은 우로 회전하여 장애물을 회피하고 이동한 거리를 Feedback하는 시스템을 구현하여 초기에 지정한 목표지점가지 로봇이 갈 수 있도록 간략한 경로를 계획하여 절대좌표를 추적해 나가는 알고리즘을 구현한다. 이러한 영상을 획득하고 알고리즘을 처리하는 영상처리 보드의 구성은 DSP (TMS320VC33), ADV611, SAA7111, ADV7176A, CPLD(EPM7256ATC144), SRAM 메모리로 구성되어 있다. 두 번째 부분에서는 장애물을 인식하고 회피하기 위하여 두 가지의 영상궤환 제어 알고리즘을 나타낸다. 첫 번째 알고리즘은 필터링, 경계검출 NOR변환, 경계치 설정 등의 영상 전처리 과정을 거친 영상을 분할하는 기법이다. 여기에서는 Labeling과 Segmentation을 통한 pixel의 밀도 계산이 도입된다. 두 번째 알고리즘은 위와 같이 전처리된 영상에 웨이브렛 변환을 이용하여 수직방향(y축 성분)으로 히스토그램 분포를 20 Pixel 간격으로 스캔한다. 파형 변화에 의하여 장애물이 있는 부분의 히스토그램 분포는 거의 변동이 없이 나타난다. 이러한 특성을 분석하여 장애물이 있는 곳을 찾아내고 이것을 회피하기 위한 알고리즘을 세웠다. 본 논문은 로봇에 장착된 한 개의 CCD 카메라를 이용하여 장애물을 회피하면서 초기에 설정해둔 목적지가지 도달하기 위한 알고리즘을 제안하였으며, 영상처리 보드를 설계 및 제작하였다. 영상처리 보드는 일반적인 보드보다 빠른 속도(30frame/sec)와 해상도를 지원하며 압축 알고리즘을 탑재하고 있어서 영상을 전송하는 데에 있어서도 탁월한 성능을 보인다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1485-1490
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• 2004

Recently, we have remarkable developments in intelligent robot systems. The remarkable features of intelligent robot are that it can track user, does face recognition and vital for many surveillance based systems. Advantage of face recognition when compared with other biometrics recognition is that coerciveness and contact that usually exist when we acquire characteristics do not exist in face recognition. However, the accuracy of face recognition is lower than other biometric recognition due to decrease in dimension from of image acquisition step and various changes associated with face pose and background. Factors that deteriorate performance of face recognition are many such as distance from camera to face, lighting change, pose change, and change of facial expression. In this paper, we implement a new 3D active camera system to prevent various pose variation that influence face recognition performance and propose face recognition algorithm for intelligent surveillance system and mobile robot system.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.110-119
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• 2021

The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m².S^-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.

• 한국정보과학회논문지:소프트웨어및응용
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• 제37권9호
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• pp.676-686
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• 2010

URC 로봇은 인간을 중심으로 발생하는 주변 상황을 이해하고, 그것에 따라 최적의 서비스를 제공하는데 목적이 있다. 따라서 URC 로봇을 위한 미들웨어에는 인간 친화적인 서비스 제공을 위한 상황정보 기반의 프로세스 제어와 서비스 자동화 기술이 요구된다. 본 논문에서는 상황 정보에 따라 사용자에게 표준 웹 서비스 기반의 상황인지 URC 서비스를 제공하기 위한 워크플로우 시스템을 제안한다. 제안하는 시스템은 이기종의 URC를 제어하기 위해 플랫폼에 독립적인 XML 기반의 명령어 객체 모델을 제공하고, 웹 서비스 형태의 상황인지 URC 서비스를 지원한다. 따라서 제안하는 시스템은 다양한 로봇과 플랫폼이 존재하는 유비쿼터스 네트워크 환경에서의 URC 서비스에 대한 신뢰성을 향상시키고， URC 시스템의 기능 및 구조 변화에 대한 높은 유연성과 적용성을 제공할 수 있다.