• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.40-44
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• 2002

Precision correction is the process of geometrically aligning images to a reference coordinate system using GCPs(Ground Control Points). Many applications of remote sensing data, such as change detection, mapping and environmental monitoring, rely on the accuracy of precision correction. However it is a very time consuming and laborious process. It requires GCP collection, the identification of image points and their corresponding reference coordinates. At typical satellite ground stations, GCP collection requires most of man-powers in processing satellite images. A method of automatic registration of satellite images is demanding. In this paper, we propose a new algorithm for automatic precision correction by GCP chips and RANSAC(Random Sample Consensus). The algorithm is divided into two major steps. The first one is the automated generation of ground control points. An automated stereo matching based on normalized cross correlation will be used. We have improved the accuracy of stereo matching by determining the size and shape of match windows according to incidence angle and scene orientation from ancillary data. The second one is the robust estimation of mapping function from control points. We used the RANSAC algorithm for this step and effectively removed the outliers of matching results. We carried out experiments with SPOT images over three test sites which were taken at different time and look-angle with each other. Left image was used to select UP chipsets and right image to match against GCP chipsets and perform automatic registration. In result, we could show that our approach of automated matching and robust estimation worked well for automated registration.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.25 no.11
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• pp.910-915
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• 2012

We studied the emission characteristics of white phosphorescent organic light-emitting diodes (PHOLEDs), which were fabricated using a two-wavelength method. The best blue emitting OLED and red emitting OLED characteristics were obtained at a concentration of 12 vol.% FIrpic and 1 vol.% $Bt_2Ir$(acac) in UGH3, respectively. And the optimum thickness of the total emitting layer was 25 nm. To optimize emission characteristics of white PHOLEDs, white PHOLEDs with red/blue/red, blue/red, red/blue and co-doping emitting layer structures were fabricated using a host-dopant system. In case of white PHOLEDs with co-doping structure, the best efficiency was obtained at a structure UGH3: 12 vol. % FIrpic: 1 vol.% $Bt_2Ir$(acac) (25 nm). The maximum brightness, current efficiency, power efficiency, external quantum efficiency, and CIE (x, y) coordinate were 13,430 $cd/m^2$, 40.5 cd/A, 25.3 lm/W, 17 % and (0.49, 0.47) at 1,000 $cd/m^2$, respectively.

• Journal of KIISE:Software and Applications
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• v.30 no.11
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• pp.1044-1053
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• 2003

A virtual science experience space(VSES) using virtual reality technology including haptic device is proposed to overcome limits which the existing science education has and to improve the effect of it. Four example scientific worlds such as Micro World, Friction World, Electromechanical World and Macro World are demonstrated by the developed VSES. Van der Waals forces in Micro World and Stick-Slip friction in Friction World, the principle of induction motor and power generator in Electromechanical World and Coriolis acceleration that is brought about by relative motion on the rotating coordinate are modeled mathematically based on physical principles. Emulation methods for haptic interface are suggested. The proposed VSES consists of haptic device, HMD or Crystal Eyes and a digital computer with stereoscopic graphics and GUI. The proposed system is believed to increase the realism and immersion for user.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.195-195
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• 2019

최근 센싱 기술과 정보화의 영향으로 하천에서 발생하는 다양한 정보들이 디지털화되어 저장되고 있으며, 이를 효율적으로 저장하고 관리하고자 하는 연구가 수행되고 있다. 특히, 과거에는 점, 선, 면으로 구성된 자료 위주로 구성되어 있어 수집된 자료를 주제별로 관리하는 레이어 형식으로 저장하여 자료를 표출하기 위한 목적으로 설계되었지만, 최근에는 영상자료, 시계열자료 등 기존의 자료와 다른 비구조적 형태의 자료가 발생함에 따라 하천 네트워크를 기반으로 한 하천공간정보를 관계형 구조로 설계하고 있다. 하천의 경우, 각 하천공간정보가 가지는 고유의 값을 활용하여 인접한 하천 네트워크를 구성하는 하천의 중심선 혹은 최심선을 기준으로 하천공간정보들을 관계성을 부여한다. 하지만 이러한 관계성은 자료의 저장, 관리, 제공에는 유리한 측면이 있지만 기하학적인 고려가 없기 때문에 공간정보로서 활용하기에는 한계가 존재한다. 쉽게 설명하면, 1차원 점에 해당하는 공간좌표는 가장 가까운 하천 네트워크를 대상으로 관계성 부여가 가능하지만, 2차원 선과 3차원 면에 해당하는 도형을 대표하는 위치가 공간적으로 많기 때문이다. 본 연구에서는 하천 네트워크 기반 공간정보가 관계성을 부여하되 하천공간정보가 가지는 기하하적 구조를 반영하기 위해 하천 네트워크를 중심으로 한 곡선좌표계 부여 방법을 제시하고자 한다. 하천은 실제로 연속적으로 변화하며, 곡선으로 이루어져 있기 때문에 공간적으로 직교좌표계를 활용하기 보다는 곡선좌표계를 활용하는 것이 더 적합한 것으로 알려져 있다. 실제로 많은 수치해석 모형에서는 곡선좌표계를 고려하여 수치해석을 수행하고 있으며, 도로나 교통 분야의 공간정보에서도 공간적 고려를 위해 곡선좌표계를 활용하는 것으로 알려져 있다. 본 연구에서는 하천 중심선 혹은 최심선을 기준으로 흐름방향 거리를 S, 횡방향 거리를 N으로 설정하여 곡선좌표계를 정의하였으며, 직교좌표계와 곡선좌표계간의 좌표변환을 위해 이차원 변환방법인 투영변환을 활용하였다. 본 연구에서 제시된 방법을 활용할 경우, 하천 네트워크 기반 공간정보가 자료 간의 관계성을 유지하며, 기하하적 고려가 될 것으로 사료된다.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.31 no.2
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• pp.84-88
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• 2021

The change of the photoluminescence properties of La2O3-CaF2-Al2O3-SiO2 glass-ceramics doped with rare earth material, that is used as laser and optical sensors, was analyzed according to heat treatment temperature. The heat treatment conditions for fabricating glass-ceramics were obtained through non-isothermal thermal analysis, and X-ray diffraction analysis was performed to determine the degree of crystal growth and kinds of crystal phases generated according to the heat treatment temperature. Using Scherrer's equation, it was predicted that crystals with a size of 25~40 nm would be generated inside the glass-ceramics. Photoluminescence (PL) analysis showed that the specimens heat-treated at 660℃ to 670℃ for 1 hour had the highest PL intensity. Also, from the CIE color coordinate analysis, all glass-ceramics specimens emitted red-orange light regardless of the heat treatment condition.

• Journal of the Korean earth science society
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• v.42 no.3
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• pp.325-343
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• 2021

This study aims to develop two science education programs using Angbuilgu and ancient astronomical data, are Korean astronomical heritage, and explore its educational possibility through the pilot application. Considering the TSK compositional characteristics of Angbuilgu and ancient astronomical data, linkage with science curriculum, and linkage with NOS, Angbuilgu was developed as a hands-on activity for elementary school students and ancient astronomical data as a science inquiry activity for middle and high school students. The educational availability of the developed program was confirmed by pilot application to elementary and high school groups. Through the Angbuilgu activity, the students refined their conceptual knowledge by correcting misconceptions about the solar motion by season and then confirmed the possibility of connection with the concept of the celestial coordinate system. Students recognized the scientific value of Angbuilgu and understood the nature of interactions STS. In the ancient astronomical data activity, students experienced inductive and deductive inquiry methods and utilized various information and strategies. Through the activities, students improved their scientific understanding and attitude towards TSK.

• The Mathematical Education
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• v.58 no.3
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• pp.403-422
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• 2019

As the informal graph was introduced newly in the area of function in middle school mathematics curriculum revised in 2015, ten publishing company became to have a concern on how to represent the graph content uniquely and newly. At this time, it may be meaningful and useful to compare and analyze the content of the graph unit shown on each textbook published by publishing companies. To accomplish this, on fundamentally the basis of diverse prior researches this study tried to select the elements of expression and interpretation of the graph and establish an analytic frameworks of expression and interpretation of the graph respectively. This study executed the frequency analysis and cross analysis by textbook system, textbook, and the number of the graph drawn on a coordinate plane on the representation and interpretation of the graph. As a result, the textbook contains more items on interpretation than the representation of the graph, and students showed a learning effect on the graph unit but showed a neutral response to the impact of learning. This basic and essential paper shed light on developing the practical and more creative textbook which has diversity and characteristic respectively, while adjusting the scope of the elements of the graph's representations and interpretations and providing proper level and quality content.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.91-106
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• 2018

The purpose of this paper is to review vestibulo-ocular reflex and vestibular rehabilitation for balace problem in elderly. Falling is a common problem associated with aging. Falling and the resulting consequences constitutes one of the most common and serious problems. Balance deficits are one of the top risk factors for falling. Three systems(visual, vestibular and somatosensory) need to be integrated and used to coordinate and control balance. During normal ambulation and head movement, the vestibulo-ocular reflex(VOR) stabilizes gaze, and helps to keep the image of the retina. There is a direct association between deficits in VOR and falls. Older adults have a decreased ability to enhance and suppress the VOR. Vestibular rehabilitation(VR) is an exercise-based group of approaches that began with the aim of central nervous system compensation. VR restores VOR gain and reduces error using repetitive movements of the head and eyes. Many researches showd balance and gait tests were superior in the VR group. It is considered this article helps to prevent elderly falling with vestibular rehabilitation.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.660-669
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• 2019

Recently, with the development of three-dimensional scanning devices and multi-dimensional array cameras, research is continuously conducted on techniques for handling three-dimensional data in application fields such as AR (Augmented Reality) / VR (Virtual Reality) and autonomous traveling. In particular, in the AR / VR field, content that expresses 3D video as point data has appeared, but this requires a larger amount of data than conventional 2D images. Therefore, in order to serve 3D point cloud content to users, various technological developments such as highly efficient encoding / decoding and storage, transfer, etc. are required. In this paper, V-PCC bit stream created using V-PCC encoder proposed in MPEG-I (MPEG-Immersive) V-PCC (Video based Point Cloud Compression) group, It is defined by the MPEG-DASH (Dynamic Adaptive Streaming over HTTP) standard, and provides to be composed of segments. Also, in order to provide the user with the information of the 3D coordinate system, the depth information parameter of the signaling message is additionally defined. Then, we design a verification platform to verify the technology proposed in this paper, and confirm it in terms of the algorithm of the proposed technology.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.309-316
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• 2018

Objectives: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses images, texts, and physiological signals that employ deep learning, is actively underway; research investigating how to improve the recognition rate is needed. The goal of this research was to design a deep learning framework and model to classify arousal and valence, indicating positive and negative degrees of emotion as high or low. Methods: The proposed arousal and valence classification model to analyze the affective state was tested using data from 40 channels provided by a dataset for emotion analysis using electrocardiography (EEG), physiological, and video signals (the DEAP dataset). Experiments were based on 10 selected featured central and peripheral nervous system data points, using long short-term memory (LSTM) as a deep learning method. Results: The arousal and valence were classified and visualized on a two-dimensional coordinate plane. Profiles were designed depending on the number of hidden layers, nodes, and hyperparameters according to the error rate. The experimental results show an arousal and valence classification model accuracy of 74.65 and 78%, respectively. The proposed model performed better than previous other models. Conclusions: The proposed model appears to be effective in analyzing arousal and valence; specifically, it is expected that affective analysis using physiological signals based on LSTM will be possible without manual feature extraction. In a future study, the classification model will be adopted in mental healthcare management systems.