• Journal of the Korean Society for Precision Engineering
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• v.33 no.4
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• pp.309-316
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• 2016

In this study, we described the design of a three-axis force/torque sensor for measuring the force and torque in a lower-limb rehabilitation robot. The three-axis force/torque sensor is composed of Fx force sensor, Fz force sensor and Tz torque sensor. The sensing element for Fx force sensor and Tz torque sensor is used in a two-step parallel plate beam, and that of Fz force sensor is used in a parallel plate beam. The rated loads of Fx force sensor, Tz torque sensor and Fz force sensor are 300 N, 15 N m and 100 N, respectively. The three-axis force/torque sensor was designed using the finite element method, and manufactured using strain-gauges. The three-axis force sensor was further characterized. As a result, the interference error of the three-axis force/torque sensor was < 1.24%, the repeatability error of each sensor was < 0.03%, and the non-linearity was < 0.02%.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.3
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• pp.223-232
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• 2014

An inductive sensor system is proposed to detect the gear location and angular position of a geared shaft for automatic feeding of the shaft into the proper cutting position of the other end. The system consists of two set of coils, bridge circuit, signal condition circuit, and microprocessor. The coil sensors of the system measure changes of inductance along with the surface position of a geared shaft. The inductance changes are transformed to voltages by the bridge circuit, which are then conditioned and processed for the recognition of the gear. In order to incorporate with the experimental results with the sensor system, a finite element method (FEM) simulation for the magnetic field between the sensor and the shaft was carried out. The predicted results and the experiments revealed that the sensor system was appropriate for sensing the position of gear and the angular position of gear tooth of a geared shaft.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.8
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• pp.211-218
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• 2018

In this study, we propose an algorithm to detect eating activity and estimation mealtime using 6-axis inertial sensor. The eating activity is classified into three types: food picking, food eating, and lowering. The feature points of the gyro signal are selected for each gesture, and the eating activity is detected when each feature point appears in the sequence. Morphology technique is used to post-process to detect meal time. The proposed algorithm achieves the accuracy of 94.3% and accuracy of 84.1%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.8B
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• pp.1152-1160
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• 2001

본 논문에서는 수동주사로 얻은 2차원 연속 프레임으로 3차원 초음파 영상 재구성을 위한 연속 프레임의 프레임간 거리 추정 방법을 제안하였다. 수동주사로 얻은 연속 프레임은 프레임간 거리가 불균일하기 때문에 이를 그대로 3차원 영상으로 재구성하면 실제 인체 장기의 형태와 다른 영상을 얻게 된다. 제안한 알고리듬에서는 연속 프레임의 프레임간 거리를 추정하기 위하여 매 프레임의 블록별 측면거리 상관함수를 얻고, 측면거리 상관함수들이 프로브의 진행축과 초음파 센서의 배열축이 이루는 평면상에서 등방성을 가진다는 가정 하에 인접 프레임 내의 각 블록간의 프레임간 거리를 추정하였다. 인접 프레임간 추정거리는 프레임 내에서 블록단위로 추정된 프레임간 거리를 평균하여 얻었다. 실험 결과, 제안한 알고리듬의 프레임간 추정거리 곡선은 기준 진행거리 상관함수를 이용한 방법의 추정거리 곡선에 비해서 실제 프레임간 거리 곡선에 가까웠고, SNR 비교에서 제안한 방법이 기존의 방법에 비해 좋은 결과를 보였다. 그리고, 기존의 알고리듬에 비해 제안한 알고리듬으로 재구성한 3차원 영상이 원영상에 더 흡사한 것을 볼 수 있었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.237-240
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• 2010

본 논문에서는 스마트폰 기반의 사용자 이동 형태 판별 알고리즘에 대해 제안한다. 이 알고리즘은 스마트폰의 자체 내장된 3 축 가속도 센서와 GPS센서의 데이터 정보를 기반으로 하여 현재 사용자의 이동 수단 및 위치를 판단하게 된다. 이때 GPS 센서을 이용해 사용자의 위치와 이동속도를 계산하여 사용자의 이동수단을 판별하는데 이용하게 되고 가속도 센서의 데이터를 분석하여 사용자의 세부적인 이동형태(걷기, 뛰기)를 판별하는데 이용된다. 본 논문에서는 스마트폰의 두 가지 응용 센서(GPS, 가속도계)를 이용하여 사용자 이동상태 판별 알고리즘을 구현하고 테스트를 수행하였다. 실험 내용은 GPS를 통해 받은 데이터를 이용하여 이동속도를 계산하고 가속도 센서의 변화 폭을 측정 이동형태를 판별할 수 있는 속도와 가속도 센서의 기준 값을 실험 데이터를 바탕으로 정의하였다. 실험결과 본 논문에서 제안하는 사용자 이동형태 판별 알고리즘를 이용하여 사용자의 이동형태를 판별 할 수 있었다.

• Journal of Sensor Science and Technology
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• v.21 no.3
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• pp.192-197
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• 2012

This paper describes the control of the hand fixing system attached to the finger rehabilitation robot for the rehabilitation exercise of patient's fingers. The finger rehabilitation robot is used to exercise the finger rehabilitation, and a patient's hand is safely fixed using the hand fixing system. In this paper, the hand fixing system was controlled with PD gains to fix a palm of the hand, and the characteristic test for the hand fixing system was carried out to sense the fixed hand movement of the front and the rear, that of the left and the right, and that of the upper. It is thought that the hand fixing system could safely fix the hand, and the movement of the fixed hand could be perceived using the five-axis force/moment sensor attached to the hand fixing system.

• Journal of Sensor Science and Technology
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• v.16 no.6
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• pp.467-474
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• 2007

The real-time monitoring about the activity of the human provides useful information about the activity quantity and ability. The present study implemented a small-size and low-power acceleration monitoring system for convenient monitoring of activity quantity and recognition of emergent situations such as falling during daily life. For the wireless transmission of acceleration sensor signal, we developed a wireless transmission system based on a wireless sensor network. In addition, we developed a program for storing and monitoring wirelessly transmitted signals on PC in real-time. The performance of the implemented system was evaluated by assessing the output characteristic of the system according to the change of posture, and parameters and acontext recognition algorithm were developed in order to monitor activity volume during daily life and to recognize emergent situations such as falling. In particular, recognition error in the sudden change of acceleration was minimized by the application of a falling correction algorithm

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.382-385
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• 2005

본 논문에서는 자기저항 센서를 이용한 자계기반 자율주행 시스템의 자계특성을 분석한다. 자율주행 시스템에서 가장 중요한 핵심기술은 자기원으로 구성된 도로를 주행하는 차량의 현재위치 파악이다. 따라서 자계 도로위의 차량의 현재위치를 검출하기 위한 시스템의 선행조건으로 센서와 자기원 사이에 존재하는 자계의 특성을 분석하기 위한 실험 장치를 설계하고 구성하였다. 그리고 자기원의 설치간격 및 기울기에 따른 자계의 3축성분과 데이터를 획득한다. 획득한 데이터를 이용하여 3축 성분에 따른 거리정보와 방향에 따른 자계의 변화를 분석한다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.3
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• pp.173-178
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• 2024

This study presents a technique for assessing the dimensional quality of assembly parts in Prefabricated Steel Structures (PSS) using a stereo vision sensor. The stereo vision system captures images and point cloud data of the assembly area, followed by applying image processing algorithms such as fuzzy-based edge detection and Hough transform-based circular bolt hole detection to identify bolt hole locations. The 3D center positions of each bolt hole are determined by correlating 3D real-world position information from depth images with the extracted bolt hole positions. Principal Component Analysis (PCA) is then employed to calculate coordinate axes for precise measurement of distances between bolt holes, even when the sensor and structure orientations differ. Bolt holes are sorted based on their 2D positions, and the distances between sorted bolt holes are calculated to assess the assembly part's dimensional quality. Comparison with actual drawing data confirms measurement accuracy with an absolute error of 1mm and a relative error within 4% based on median criteria.

• Journal of Korea Multimedia Society
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• v.16 no.2
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• pp.226-233
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• 2013

Self-diagnosis, regular examination, completion examination and precise safety examination on an elevator offer primary sources for evaluating performance and stability of the elevator. as critical examination for operating the elevator. The items on vibration of an elevator in the self-diagnosis and safety examination are not especially specified but vibration itself is considered as essential element to provide diverse analysis data. There is the equipment "EVA-625" for measuring vibration of an elevator. It is operated by reading data via computer and analyzing data by skilled engineer. This study aims to design and realize software to analyze data collected through the LabVIEW, a graphic program language and hardware for receiving data measuring vibration of an elevator by using 3-Axis acceleration sensor.