• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.9
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• pp.1071-1076
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• 2011

NC machines are generally used for machining operations because of their position accuracy, path accuracy, and machining reaction force. However, some NC machines require a very large space and are expensive. Recently, industrial articulated robot arms with large handling capability and wrist torque have been developed and the corresponding sensor technology has been improved. A machining robot for three-dimensional large curved objects was developed on the basis of an automatic-path-generation method. A self-position-compensation method with a laser displacement sensor was adopted for the six-axis robot developed, because the large articulated robot arms had poor position accuracy. An automatic-path-generation method using specific points was adopted to reduce the number of teaching points and time. In order to determine the proper machining conditions, various machining conditions such as tool rotation speed, cutting angle, cutting depth, and tool moving speed, were evaluated.

• Journal of Biomedical Engineering Research
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• v.24 no.6 s.81
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• pp.501-507
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• 2003

Medical devices for helping the rehabilitation of the patients such as orthoses and prostheses should be designed to be strong enough. For the strength design, operational load should be identified first. Furthermore. medical devices are susceptible to dynamic load or shock frequently due to its characteristics. These type of the load may be identified by installing the sensors directly. However, it can modify the natural properties of the structures. Therefore, operational load should be identified indirectly from the system characteristics and responses such as vibrations. In this paper, the basic formulation of the indirect load identification is reviewed and the problems of conventional approach are checked. Then, the new approach based upon the principal component analysis is proposed and the validity of the proposed method is demonstrated using experiments.

• Journal of Sensor Science and Technology
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• v.31 no.1
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• pp.24-30
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• 2022

Distributed fiber-optic acoustic·vibration sensing technology is becoming increasingly popular in many industrial and academic areas such as in securing large edifices, exploring underground seismic activity, monitoring oil well/reservoir, etc. Long-range perimeter intrusion detection exemplifies an application that not only detects intrusion, but also pinpoints where it happens and recognizes kinds of threats made along the perimeter where a single fiber cable was installed. In this study, we developed a distributed fiber-optic sensing device that measures a distributed acoustic·vibration signature (pattern) for intrusion detection. In addition, we demontrate the proposed deep learning algorithm and how it classifies various intrusion events. We evaluated the sensing device and deep learning algorithm in a practical testbed setup. The evaluation results confirm that the developed system is a promising intrusion detection system for long-distance and seamless recognition requirements.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.3
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• pp.271-277
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• 2017

The purpose of this study was to develop a balance chair for improving pelvic correction and postural balance through postural balance training using tactile feedback by a vibration motor provided in real time according to the user's attitude. We built a body frame using mono cast(MC) Nylon, Touch thin film transistor(TFT) for user interface, a main control module using Arduino, a 9-axis acceleration sensor for user's posture determination, and a vibration module for tactile feedback. The prototype of the Balance Chair which surrounds the outside was made with cushion for sitting conformability. In order to verify the effectiveness of the postural balance training system using the built prototype, the muscle activity (% MVIC) of the left and right iliocostalis lumborum those are the main muscles of the spinal movement was measured with ten female subjects. And the balance ability before and after training was measured using Spine Balance 3D, a posture balance ability evaluation device. The muscular activities of the left and right iliocostalis lumborum showed the balance activation according to vibration feedback during exercise protocol and postural balance improved after balance exercise training using balance chair. This study could be apply to use the fundamental research for developing the various postural balance product.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.2
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• pp.60-67
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• 2015

The finite element (FE) model updating is a commonly used approach in civil engineering, enabling damage detection, design verification, and load capacity identification. In the FE model updating, acceleration responses are generally employed to determine modal properties of a structure, which are subsequently used to update the initial FE model. While the acceleration-based model updating has been successful in finding better approximations of the physical systems including material and sectional properties, the boundary conditions have been considered yet to be difficult to accurately estimate as the acceleration responses only correspond to translational degree-of-freedoms (DOF). Recent advancement in the sensor technology has enabled low-cost, high-precision gyroscopes that can be adopted in the FE model updating to provide angular information of a structure. This study proposes a FE model updating strategy based on data fusion of acceleration and angular velocity. The usage of both acceleration and angular velocity gives richer information than the sole use of acceleration, allowing the enhanced performance particularly in determining the boundary conditions. A numerical simulation on a simply supported beam is presented to demonstrate the proposed FE model updating approach.

• Geophysics and Geophysical Exploration
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• v.25 no.4
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• pp.177-188
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• 2022

Recently, the application of distributed acoustic sensors (DAS), which can replace geophones and seismometers, has significantly increased along with interest in micro-seismic monitoring technique, which is one of the CO₂ storage monitoring techniques. A significant amount of temporally and spatially continuous data is recorded in a DAS monitoring system, thereby necessitating fast and accurate data processing techniques. Because event detection and seismic phase picking are the most basic data processing techniques, they should be performed on all data. In this study, a machine learning-based P, S wave phase picking algorithm was developed to compensate for the limitations of conventional phase picking algorithms, and it was modified using a transfer learning technique for the application of DAS data consisting of a single component with a low signal-to-noise ratio. Our model was constructed by modifying the convolution-based EQTransformer, which performs well in phase picking, to the ResUNet structure. Not only the global earthquake dataset, STEAD but also the augmented dataset was used as training datasets to enhance the prediction performance on the unseen characteristics of the target dataset. The performance of the developed algorithm was verified using K-net and KiK-net data with characteristics different from the training data. Additionally, after modifying the trained model to suit DAS data using the transfer learning technique, the performance was verified by applying it to the DAS field data measured in the Pohang Janggi basin.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2002.04a
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• pp.85-91
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• 2002

인공위성을 이용한 위치결정시스템인 GPS(Global Positioning System)는 mm 단위의 정밀도로 정적, 동적 위치관측이 가능한 시스템으로 현재 여러 분야에서 활용이 증가하고 있다. 특히 교량, 댐 등 안전이 요구되는 사회기반 시설물의 동적 거동을 기록하고 감시하는데 있어서 GPS가 새로운 관측시스템으로 주목받고 있으며 이를 실용화하기 위한 연구가 활발히 진행되고 있다. 본 연구에서는 GPS를 이용하여 건물의 거동상태를 점검 하는 것을 목적으로 하고 있다. 초고층건물의 거동을 해석하기 위하여 건물 옥상에 GPS, 가속도계, 풍향계, 풍속계를 설치하였다. GPS와 가속도계를 이용하여 건물의 변위 및 가속도를 5Hz로 관측하였다. GPS를 이용한 변위관측은 1시간, 1분, 1초 등의 간격으로 3차원 변위를 계산하였으며, 계산된 3차원 변위를 가속도계, 풍속계, 풍향계와 연계하여 해석하였다. 대상 건물에 대한 최대 변위를 관측한 결과 시공 단계에 따라 큰 차이를 보였으며 건물의 안정성을 평가할 수 있는 척도인 건물의 고유 진동수의 경우 약 0.2Hz의 값을 얻을 수 있었다. 향후 모든 센서들을 통합하여 실시간으로 건물을 모니터링할 수 있는 시스템을 개발할 경우 건물의 안정성 해석 및 유지보수에 본 연구가 큰 기여를 할 수 있을 것으로 사료된다.

• Korean Journal of Crystallography
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• v.17 no.2
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• pp.60-65
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• 2006

표면 및 계면층의 결정구조, 결함구조, 불순물 편석, 표면의 전자 구조, 원자 진동 등과 같은 산화물의 표면물성은 촉매, 센서, 소결, 마찰, 부식 등과 같은 분야에서 그 특성을 좌우한다. 고체 표면의 결정구조 해석 수단으로 저에너지 이온산란 분광법이 유용한 도구로 알려져 있는데, 이 방법의 뛰어난 표면민감성은 표면에서의 효과적인 이온 중성화 과정에 기인한다. $He^+$, $Ne^+$, $Ar^+$ 등과 같은 이온은 Auger 중성화 과정에 의하여 쉽게 중성원자화 되고, 중성화 확율의 타겟에 대한 의존성이 낮기 때문에 이온빔으로서 종종 사용된다. 산란각도를 180$^{\circ}$로 고정하여 산란이온 검출기를 설치한 직충돌 이온산란 분광법의 경우는 산란된 이온의 궤적이 입사궤도와 거의 동일하기 때문에 산란궤적의 계산이 간단해지고, 수 층 깊이의 원자구조의 해석이 가능해진다. 본 고에서는 고체 표면의 원자구조를 실공간에서 해석할 수 있는 직충돌 이온산란 분광법에 대하여 측정의 기본원리, 측정장치, 간단한 분석 예 등에 관하여 기술하고자 하며, 다음 편에서는 복잡한 표면구조를 가지는 반도체 표면에서 직충돌 이온산란분광법의 이용하여 해석한 예를 중심으로 기술하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.4
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• pp.108-118
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• 2006

The purpose of this study is to investigate the effectiveness of a LQG Hybrid controller to suppress the earthquake disturbance for the building structure. The ground acceleration of N-S component of El-Centro earthquake was scaled to confirm that the building behaved within the elastic range. The tuned mass damper(TMD) on the top floor regulated by LQG algorithm was designed to control the floor displacements. The displacement responses of the hybrid control were compared with those obtained from an active control along with a passive control. The results showed that the LQG hybrid control used approximately 50% less input forces than an active control to satisfy the performance criteria.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.167-175
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• 2018

Despite the rapid development of IT technology, people with visual impairments still use simple forms of walking sticks and need more advanced walking aids. Smart Cane, which is developed based on Internet service and sensor, can provide high safety and convenience compared to existing sticks for visually impaired people by conveying peripheral information and walking situation to these visually impaired people through voice and vibration. In this paper, we propose and implement SmartKane to overcome lack of miniaturization, user friendly form, and sensing sensitivity, which have been pointed out as a problem of existing SmartKane.