• Journal of Drive and Control
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• v.18 no.3
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• pp.23-29
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• 2021

Hydrogen energy is the clean energy source of the future. Ultra-high-pressure hydrogen is used in hydrogen stations, with its parts being developed. On the other hand, ultra-high-pressure ball valve, which is one of its parts, depends on overseas, with the level of domestic research on this being only about 10% of advanced technology research on this abroad. In this study, the shape of an ultra-high-pressure ball valve for a hydrogen station was designed to improve its structural strength. The valve body was designed according to distance between both processed body holes along inlet and outlet ports. The designed vale body was then analyzed using ANSYS to check whether points with stress were concentrated. In addition, the valve with improved body was analyzed to confirm that the valve satisfied the design condition.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.31-40
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• 2022

YOLOv4 can be used for detecting parking vehicles in order to check a vehicle in out-door parking space. YOLOv4 has 9 anchor boxes in each of 13x13 grid cells for detecting a bounding box of object. Because anchor boxes are allocated based on each cell, there can be existed small observational error for detecting real objects due to the distance between neighboring cells. In this paper, we proposed YOLOv4 grid cell shift algorithm for improving the out-door parking vehicle detection accuracy. In order to get more chance for trying to object detection by reducing the errors between anchor boxes and real objects, grid cells over image can be shifted to vertical, horizontal or diagonal directions after YOLOv4 basic detection process. The experimental results show that a combined algorithm of a custom trained YOLOv4 and a cell shift algorithm has 96.6% detection accuracy compare to 94.6% of a custom trained YOLOv4 only for out door parking vehicle images.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.23-26
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• 2020

본 논문에서는 CCTV를 통해 얻은 영상에서 얼굴을 인식하여 자동으로 출석 여부를 체크하는 시스템을 소개한다. 이 시스템은 CNN을 바탕으로 RetinaFace 모델을 사용하여 얼굴을 탐지하고, 탐지된 얼굴을 ArcFace 모델로 R⁵¹²의 목표 공간으로 임베딩한다. 기존 데이터베이스에 등록된 얼굴과 CCTV를 통해 얻은 얼굴들의 임베딩 벡터 사이의 Angular Cosine Distance를 측정하여 동일 인물인지 판단하는 매칭 알고리즘을 제안한다. 실험을 통해 두 모델을 동시에 사용할 최적의 환경을 파악하고, 마스크 착용으로 얼굴의 하단부가 가려지는 폐색 문제에 더욱 효과적으로 대응하여 매칭 성능을 높이는 방법을 제안한다.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.59.2-59.2
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• 2021

On March 6 2021, Apophis made a close approach to the Earth with a minimum distance of 0.11 AU when the apparent magnitude reached up to V~16. This was the most favorable condition to observe this asteroid until its 2029 encounter. The observations during this apparition were extremely important to determine major physical properties, such as size, rotational state, 3D shape model, surface mineral properties. So, we organized the observation campaign during the 2021 apparition. The main goals of our campaign are to refine the spin state and 3D shape model and check the surface composition variations. The campaign involved dozens of countries and included ground-based photometry and spectroscopy, and spacecraft observations. Our timely observation campaign will provide essential data in planning the operation scenario for the space mission. In this presentation, we will report the preliminary result of the Apophis observation campaign during the 2021 apparition.

• Journal of the Korean Institute of Landscape Architecture
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• v.25 no.3
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• pp.12-24
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• 1997

One argument of this study is that the policy to handle and landscape of cultural and historical property had to do with people's visual preferences. This study seeks to investigate people's visual preferences toward the landscape of cultural /historical property, specifically dealing with 'Namdaemun', which is the first class cultural property of Korea. People's visual preference was specifically examined into the four specific concepts : 'visual identity','harmony','beauty of the target property', and 'overall beauty'. Two objective variables, such as, 'distance' between the viewer and the cultural property, and 'height' of background buildings were considered possible predictors of the four visual preference variables. Photos of 'Namdaemun' were taken at three different directions and at three different distances. The photographed images of 'Namdaemun' were transferred ito the digitalized graphic images, where the height of background buildings was artificially changed and simulated. The simulated visual images were taken into the slides again. A total of 59 students of the Department of Landscape architecture at Seoul City University were sampled as subjects. A series of 17 slides were shown to the subjects four times. The subjects were asked to check their preference ratings concerning the four concepts on a 7-point Likert scale. The results found in this study were as follows : 1) In the results of ANOVA, it was clear that people visually preferred the view where the height of background buildings were lower than 15 floors to the view of more than 15 floors . 2) From the results of the path analysis, it was found that 'harmony','visual identity' and 'beauty of the target property' were direct predictors of 'the overall beauty'. The 'height ' of background buildings and the viewer's 'distance' were not found to be direct predictors, however, they demonstrated their effects on 'the overall beauty' through the other variable, which were direct predictors of 'the overall beauty'. In sum, the longer the distance and the higher the background buildings, the lower people's preference with the 'overall beauty'. These indirect paths, in turn, also explain why and how the 'height' of background buildings and the viewer's 'distance' negatively influence the 'overall beauty'. An implication from the these results is that when the height of background buildings were not controllable, there would be some other strategies for improving people's visual preference toward the historical /cultural view. To increase 'visual identity' of the cultural property, for example, changing colors of the cultural property or increasing the lighting level, etc., would be one strategy, since the increased 'visual identity' will, in turn, increase 'the overall beauty'.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.6 s.312
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• pp.110-116
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• 2006

In this paper, we implement a speech recognition system to support ubiquitous sensor network application services such as switch control, authentication, etc. using wireless audio sensors. The proposed system is consist of the wireless audio sensor, the speech recognition algorithm using psychoacoustic model and LDPC(low density parity check) for correcting errors. The proposed speech recognition system is inserted in a HOST PC to use the sensor energy effectively mil to improve the accuracy of speech recognition, a FEC(Forward Error Correction) system is used. Also, we optimized the simulation coefficient and test environment to effectively remove the wireless channel noises and correcting wireless channel errors. As a result, when the distance between sensor and the source of voice is less then 1.0m FAR and FRR are 0.126% and 7.5% respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.933-939
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• 2015

If the Visual Aids(light wave signs) is not supplied the general power it is using solar power system. These power supply systems, the role of the charge/discharge control is very important. Introduction of IT(AIS etc.) for the effective management of the AtoN(Aids to Navigation) is a Visual Aids has been added to the device using the power to charge/discharge control, the need increases. The current charge/discharge controller is attached to the inside of the AtoN and checks on and verification of the maritime environment, depending on the difficulty. In order to resolve these issues in this paper, the Bluetooth module is mounted on the inside of the charge/discharge controller and proposed a possible system monitoring at close range. Advantage of the system implemented is a simple configuration and low installation cost. In addition, it can be applied to a variety of AtoN. Also, it has been able to check the real-time status information of the charge/discharge controller at a short distance in to reduce inspection costs, and reduce risk factors that might occur during check.

• Fashion & Textile Research Journal
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• v.4 no.2
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• pp.145-155
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• 2002

In order to investigate how upper limb motion gives influence on clothing, this study measured tests by following standards: Front Vertical motion, Side-Vertical motion, and Horizontal motion. For this study, the procedures in the order of alphabet are applied. A. Eeach of testee's pattern was copied by the motion with a method of tight fitting technique. B. Analyzing each of the size-change on measuring item. C. Studying the moving aspects at each datum points. The results shows that the biggest change can be found in the following items. 1) In vertical motion of F4 (the length to shoulder point from A-point) 2) In horizontal motion of F5 (the length to front-width point from A-point), the check-result gained by checking the notice between motions shows that the most noticeable items are F4 (the length to shoulder point from A-point), F5 (the length to front-width point from A-point), F6 (the length to armpit point from A-point), B7 (the length to side-waist point from B-point). In result of the study of datum point's movement by motion, the items which were measured with the longest on straight-distance in vertical motion are the front and rear-shoulder, and the rear-shoulder, front-armpit in horizontal motion each. In the movement of each datum points by length, the check-result gained by checking the notice between motions shows that the most remarkable item is the front-shoulder.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.4 s.316
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• pp.36-44
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• 2007

In this paper, we implement the speech & face recognition system to support various ubiquitous sensor network application services such as switch control, authentication, etc. using wireless audio and image interface. The proposed system is consist of the H/W with audio and image sensor and S/W such as speech recognition algorithm using psychoacoustic model, face recognition algorithm using PCA (Principal Components Analysis) and LDPC (Low Density Parity Check). The proposed speech and face recognition systems are inserted in a HOST PC to use the sensor energy effectively. And improve the accuracy of speech and face recognition, we implement a FEC (Forward Error Correction) system Also, we optimized the simulation coefficient and test environment to effectively remove the wireless channel noises and correcting wireless channel errors. As a result, when the distance that between audio sensor and the source of voice is less then 1.5m FAR and FRR are 0.126% and 7.5% respectively. The face recognition algorithm step is limited 2 times, GAR and FAR are 98.5% and 0.036%.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.2
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• pp.257-264
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• 2020

Vectorization is currently the main method in feature collection (extraction) during digital mapping using UAV-Photogrammetry. However, this method is time consuming and prone to gross elevation errors when extracted from a DSM (Digital Surface Model), because three-dimensional feature coordinates are vectorized separately: plane information from an orthophoto and height from a DSM. Consequently, the demand for stereo plotting method capable of acquiring three- dimensional spatial information simultaneously is increasing. However, this method requires an expensive equipment, a Digital Photogrammetry Workstation (DPW), and the technology itself is still incomplete. In this paper, we evaluated the accuracy of low-cost stereo plotting system, Menci's StereoCAD, by analyzing its three-dimensional spatial information acquisition. Images were taken with a FC 6310 camera mounted on a Phantom4 pro at a 90 m altitude with a Ground Sample Distance (GSD) of 3 cm. The accuracy analysis was performed by comparing differences in coordinates between the results from the ground survey and the stereo plotting at check points, and also at the corner points by layers. The results showed that the Root Mean Square Error (RMSE) at check points was 0.048 m for horizontal and 0.078 m for vertical coordinates, respectively, and for different layers, it ranged from 0.104 m to 0.127 m for horizontal and 0.086 m to 0.092 m for vertical coordinates, respectively. In conclusion, the results showed 1: 1,000 digital topographic map can be generated using a stereo plotting system with UAV images.