• 드라이브 ㆍ 컨트롤
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• 제13권1호
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• pp.49-53
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• 2016

The accurate calculation of bucket tip position has a large influence on showing the motion of an excavator on the display device of the excavator and controlling the excavator automatically. It is generally known that Inertial Measurement Unit (IMU) sensors are more accurate than accelerometer-based sensors while the boom, arm or bucket moves because additional forces beyond gravity add additional acceleration to the sensors. To prove the accuracy difference between the two types of sensors, a position recognition system using an accelerometer-based sensor and an IMU sensor is implemented on the excavator. The experimental results show that the system using the IMU sensor significantly reduces the position recognition error while bucket moves and additional force beyond gravity exists.

• 패션비즈니스
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• 제26권5호
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• pp.91-104
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• 2022

In this study, a cycling smart wear for measuring cycling posture and motion was developed using a three-dimensional motion analysis camera and an IMU inertial sensor. Results were compared according to parts to derive the optimal smart device attachment location, enabling correct posture measurement and cycle motion analysis to design a pattern. Conclusions were as follows: 1) 'S-T8' > 'S-T10' > 'S-L4' was the most significant area for each lumbar spine using a 3D motion analysis system with representative posture change (90°, 60°, 30°) to derive incisions and size specifications; 2) the part with the smallest relative angle change among significant section reference points during pattern design was applied as a reference point for attaching a cycling smart device to secure detachable safety of the device. Optimal locations for attaching the cycling device were the "S-L4" hip bone (Sacrum) and lumbar spine No. 4 (Lumbar 4^th); 3) the most suitable sensor attachment location for monitoring knee induction-abduction was the anatomical location of the rectus femoris; 4) a cycling smart wear pattern was developed without incision in the part where the sensor and electrode passed. The wearing was confirmed with 3D CLO. This study aims to provide basic research on exercise analysis smart wear, to expand the smart cycling area that could only be realized with smart devices and smart watches attached to current cycles, and to provide an opportunity to commercialize it as cycling smart wear.

• 한국게임학회 논문지
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• 제17권3호
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• pp.53-62
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• 2017

VR 콘텐츠 조작 장비는 높은 가격을 요구하기 때문에 개인이 접하기 쉽지 않다. 특히 VR 콘텐츠 중 사용자의 모션을 추적하는 시스템의 경우 일반적으로 적외선 카메라를 사용하는 별도의 광학 센서 장비를 사용한다. 광학 센서 장비들은 단일기기만 사용할 경우 회전 동작 추적을 할 때 측정 가능한 범위가 측정 방향에 의존적이라는 단점이 있다. 위와 같은 문제들을 해결하기 위해 본 논문에서는 별도의 광학 센서 장비 없이 일반적으로 대중이 보유하고 있는 장비인 스마트폰의 관성센서를 사용하여 측정 방향에 구애 받지 않고 사용자의 회전 동작을 추적할 수 있음을 보인다. 그리고 립모션을 사용한 시스템을 참조 시스템으로, 스마트폰을 사용한 시스템을 평가 시스템으로 정하여 두 시스템의 사용자 만족도를 비교하여 평가 시스템의 유용성을 검증한다.

• 로봇학회논문지
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• 제8권1호
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• pp.51-57
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• 2013

Recently, the number of jellyfish has been rapidly grown because of the global warming, the increase of marine structures, pollution, and etc. The increased jellyfish is a threat to the marine ecosystem and induces a huge damage to fishery industries, seaside power plants, and beach industries. To overcome this problem, a manual jellyfish dissecting device and pump system for jellyfish removal have been developed by researchers. However, the systems need too many human operators and their benefit to cost is not so good. Thus, in this paper, the design, implementation, and experiments of autonomous jellyfish removal robot system, named JEROS, have been presented. The JEROS consists of an unmanned surface vehicle (USV), a device for jellyfish removal, an electrical control system, an autonomous navigation system, and a vision-based jellyfish detection system. The USV was designed as a twin hull-type ship, and a jellyfish removal device consists of a net for gathering jellyfish and a blades-equipped propeller for dissecting jellyfish. The autonomous navigation system starts by generating an efficient path for jellyfish removal when the location of jellyfish is received from a remote server or recognized by a vision system. The location of JEROS is estimated by IMU (Inertial Measurement Unit) and GPS, and jellyfish is eliminated while tracking the path. The performance of the vision-based jellyfish recognition, navigation, and jellyfish removal was demonstrated through field tests in the Masan and Jindong harbors in the southern coast of Korea.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2018년도 추계학술대회
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• pp.328-330
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• 2018

태양 에너지를 전기 에너지로 변환시키는 장치가 설치된 해상 부유체는 파도에 의해서 운동한다. 해상 부유체의 안전성을 평가하기 위해서는 부유체 운동의 측정과 해석이 필요한데, 일반적으로 6자유도 운동을 이용한다. 6자유도 운동은 저전력, 소형, 저가의 특징을 갖고 있는 MEMS(Micro-Electro Mechanical System)를 이용하여 측정할 수 있다. 문제는 MEMS의 낮은 정밀도이다. 본 연구에서는 이러한 MEMS를 이용한 해상 태양광 부유체의 거동을 측정하고, 측정한 거동을 이용한 안전성 평가 기법에 관하여 검토하였다. 연구결과 3축의 가속도계와 3축의 자이로스코프를 이용한 관성 측정 플랫폼을 통해서 해상 부유체의 모델링과 안전성 평가가 가능함을 알았다.

• 한국운동역학회지
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• 제29권1호
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• pp.1-8
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• 2019

Objective: The purpose of this study was to confirm that the cross-country ski sprint course in PyeongChang, where the 2018 Winter Olympics course was to utilize wearable devices equipped with inertial measurement unit (IMU), global positioning system (GPS) and heart rates sensor. Method: For the data collection, two national level cross-country (XC) skiers performed classic technique on the entire sprint course. We analyzed cycle characteristics, range of motion on double poling (DP) technique, average velocity, and displacement of 3 points according to the terrain. Results: The absolute cycle time gradually decreased during starting, middle and finish sections. While the length of the DP increased and the heart rates tended to increase for men skier. In addition, the results indicated that range of motion of knee joint during starting and finish section decreased more than middle section. The errors of latitude and longitude data collected through GPS were within 3 m from 3 points. Conclusion: Through the first case study in Korea, which analyzed the location and condition of XC skiers in the entire sprint course in real time, confirmed that feedback was available in the field using various wearable sensors.

• 한국정밀공학회지
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• 제13권8호
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• pp.112-119
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• 1996

Among the various type of accelerometer, the servo rebalancing type accelermoter can be suitable for Inertial Navigation System, because of its high sensitivity and good response in low frequency. In this paper, we proposed a new technology to control inductive tuype accelerometer utilizing digital PWM method. The new developed digital PWM control has special design scheme for transmitting measurement value to outer device in its servo ollp. So it has no quantized error of transforming outputs of sensors to digital domain. The quantized error may make serious problem in INS system, because outputs of sensor are integrated once or twice by digital computer and it happens every sensor reading times. Therefore, in order to get the accurate information such as displacement, it is necessary to measure accurately the input current. In addition, Digital Signal Processing needs digital data transmission, digital PWM method is adaptive for this purpose. We realized a practical circuit for digital PWM control, analyzed the stability of the circuit, and designed the controller etc. In this study, we solved many practical problem for this application, and got out good results.

• 한국정보통신학회논문지
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• 제22권5호
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• pp.709-714
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• 2018

가상현실(Visual Reality) 기술은 사람들의 흥미를 유발하며 그 관심으로 점점 발전하고 있다. VR 기술은 게임, 애니메이션, 교육 등 다양한 시장에서 활용되고 있다. 하지만 VR영상을 체험한 후 영상을 보내는 기기와 영상을 재생하는 HMD 등의 하드웨어 간의 지연시간 때문에 어지러움, 두통 등 멀미현상을 겪는 사람들이 많았다. 본 논문에서 제안하는 시스템은 어트랙션의 이동보다는 환경에 주목하여 경로에 존재하는 구분선을 근접센서로 검출하여 사용자의 운동에 따른 경로 위의 위치를 정확히 계산한다. VR 영상과 사용자의 위치를 동기화하므로 사용자의 위치오차가 0.2%로 개선되었다.

• Journal of Positioning, Navigation, and Timing
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• 제10권3호
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• pp.179-187
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• 2021

To estimate the location of the train, we consider an integrated navigation system that combines Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS). This system provides accurate navigation results in open sky by combining only the advantages of both systems. However, since measurement update cannot be performed in GNSS signal blocked areas such as tunnels, mountain, and urban areas, pure INS is used. The error of navigation information increases in this area. In order to reduce this problem, the train's Non-Holonomic Constraints (NHC) information can be used. Therefore, we deal with the INS/GNSS/NHC integrated navigation system in this paper. However, in the process of installing the navigation system on the train, a Mounting Misalignment Error of the IMU (MMEI) inevitably occurs. In this case, if the NHC is used without correcting the error, the navigation error becomes even larger. To solve this problem, a method of easily estimating the MMEI without an external device is introduced. The navigation filter is designed using the Extended Kalman Filter (EKF) by considering the MMEI. It is assumed that there is no vertical misalignment error, so only the horizontal misalignment error is considered. The performance of the integrated navigation system according to the presence or absence of the MMEI and the estimation performance of the MMEI according to the method of using NHC information are analyzed based on simulation. As a result, it is confirmed that the MMEI is accurately estimated by using the NHC information together with the GNSS information, and the performance and reliability of the integrated navigation system are improved.