• Title/Summary/Keyword: digital fusion

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A Fusion Positioning System of Long Baseline and Pressure Sensor for Ship and Harbor Inspection ROV

  • Seo, Dong-Cheol;Lee, Yong-Hee;Jo, Gyung-Nam;Choi, Hang-Shoon
    • Journal of Ship and Ocean Technology
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    • v.11 no.1
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    • pp.36-46
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    • 2007
  • The maintenance of a ship is essential for safe navigation and hence regular surveys are prescribed according to the rule of classification societies. A hull inspection is generally performed by professional divers, but it takes a long time and the efficiency is low in terms of time and cost. In this research, a ROV(Remotely Operated Vehicle) named as SNU-ROV(Seoul National University-ROV) is developed to replace the conventional inspection method. In this system, the ROV is intended to be used for inspecting ship and harbor because harbor inspection is merging as a safety measure against any possible terror actions. In order to increase the efficiency of inspection, the ROV must be able to measure the exact position of damages. SNU-ROV has a positioning system based on LBL(Long Base Line). In shallow water such as harbor, however, LBL has bad DOP(Dilution of Precision) in the depth direction due to the limited depth. Thus LBL only can not locate the exact depth position. To solve the DOP problem, a pressure sensor is introduced to LBL and a complementary filter is attached by using indirect feedback Kalman filter. Thus developed positioning system is verified by simulation and experiment in towing tank.

Application of a Deep Learning Method on Aerial Orthophotos to Extract Land Categories

  • Won, Taeyeon;Song, Junyoung;Lee, Byoungkil;Pyeon, Mu Wook;Sa, Jiwon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.5
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    • pp.443-453
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    • 2020
  • The automatic land category extraction method was proposed, and the accuracy was evaluated by learning the aerial photo characteristics by land category in the border area with various restrictions on the acquisition of geospatial data. As experimental data, this study used four years' worth of published aerial photos as well as serial cadastral maps from the same time period. In evaluating the results of land category extraction by learning features from different temporal and spatial ranges of aerial photos, it was found that land category extraction accuracy improved as the temporal and spatial ranges increased. Moreover, the greater the diversity and quantity of provided learning images, the less the results were affected by the quality of images at a specific time to be extracted, thus generally demonstrating accurate and practical land category feature extraction.

Test and Integration of Location Sensors for Position Determination in a Pedestrian Navigation System

  • Retscher, Guenther;Thienelt, Michael
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.251-256
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    • 2006
  • In the work package 'Integrated Positioning' of the research project NAVIO (Pedestrian Navigation Systems in Combined Indoor/Outdoor Environements) we are dealing with the navigation and guidance of visitors of our University. Thereby start points are public transport stops in the surroundings of the Vienna University of Technology and the user of the system should be guided to certain office rooms or persons. For the position determination of the user different location sensors are employed, i.e., for outdoor positioning GPS and dead reckoning sensors such as a digital compass and gyro for heading determination and accelerometers for the determination of the travelled distance as well as a barometric pressure sensor for altitude determination and for indoor areas location determination using WiFi fingerprinting. All sensors and positioning methods are combined and integrated using a Kalman filter approach. Then an optimal estimate of the current location of the user is obtained using the filter. To perform an adequate weighting of the sensors in the stochastic filter model, the sensor characteristics and their performance was investigated in several tests. The tests were performed in different environments either with free satellite visibility or in urban canyons as well as inside of buildings. The tests have shown that it is possible to determine the user's location continuously with the required precision and that the selected sensors provide a good performance and high reliability. Selected tests results and our approach will be presented in the paper.

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Fused Fuzzy Logic System for Corrupted Time Series Data Analysis (훼손된 시계열 데이터 분석을 위한 퍼지 시스템 융합 연구)

  • Kim, Dong Won
    • Journal of Internet of Things and Convergence
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    • v.4 no.1
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    • pp.1-5
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    • 2018
  • This paper is concerned with the modeling and identification of time series data corrupted by noise. As modeling techniques, nonsingleton fuzzy logic system (NFLS) is employed for the modeling of corrupted time series. Main characteristic of the NFLS is a fuzzy system whose inputs are modeled as fuzzy number. So the NFLS is especially useful in cases where the available training data or the input data to the fuzzy logic system are corrupted by noise. Simulation results of the Mackey-Glass time series data will be demonstrated to show the performance of the modeling methods. As a result, NFLS does a much better job of modeling noisy time series data than does a traditional Mamdani FLS.

The Comparison of the SIFT Image Descriptor by Contrast Enhancement Algorithms with Various Types of High-resolution Satellite Imagery

  • Choi, Jaw-Wan;Kim, Dae-Sung;Kim, Yong-Min;Han, Dong-Yeob;Kim, Yong-Il
    • Korean Journal of Remote Sensing
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    • v.26 no.3
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    • pp.325-333
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    • 2010
  • Image registration involves overlapping images of an identical region and assigning the data into one coordinate system. Image registration has proved important in remote sensing, enabling registered satellite imagery to be used in various applications such as image fusion, change detection and the generation of digital maps. The image descriptor, which extracts matching points from each image, is necessary for automatic registration of remotely sensed data. Using contrast enhancement algorithms such as histogram equalization and image stretching, the normalized data are applied to the image descriptor. Drawing on the different spectral characteristics of high resolution satellite imagery based on sensor type and acquisition date, the applied normalization method can be used to change the results of matching interest point descriptors. In this paper, the matching points by scale invariant feature transformation (SIFT) are extracted using various contrast enhancement algorithms and injection of Gaussian noise. The results of the extracted matching points are compared with the number of correct matching points and matching rates for each point.

Research and Development of Image Synthesis Model Based on Emotion for the Mobile Environment (모바일 환경에서 감성을 기반으로 한 영상 합성 기법 연구 및 개발)

  • Sim, SeungMin;Lee, JiYeon;Yoon, YongIk
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.51-58
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    • 2013
  • Camera performance of smartphone recently has been developed as much as the digital camera. Interest in applications As a result, many people take pictures and the number of people who are interested in application according to photos has been steadily increasing. However, there are only synthesis programs which are arraying some photos, overlapping multiple images. The model proposed in this paper, base on the emotion that is extracted from the facial expressions by combining the background and applying effects filters. And it can be also utilized in various fields more than any other synthesis programs.

Design and Control of a Basic Circuit System for STEAM Education (STEAM 교육을 위한 기초 회로 시스템 설계와 제어 방법)

  • Hur, Kyeong
    • Journal of Practical Engineering Education
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    • v.9 no.2
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    • pp.99-106
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    • 2017
  • The most important thing in STEAM education is to enhance students' interest and understanding of science and technology. In this paper, we propose basic circuit system design and control method applicable to STEAM fusion education. The circuit system design practice using the breadboard is designated as an essential curriculum in the corresponding department at the high school and college level in the domestic curriculum. However, there is a lack of STEAM convergence implementation examples that can easily understand circuit system design and control methods. Therefore, we proposed and tested a method to implement and control a media art type circuit system.

A Study on Korean Fashion Designers' Stage Costumes (국내 패션 디자이너의 공연의상 디자인 연구)

  • Jinyoung Ryu;Jiyeon Kim
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.1
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    • pp.115-132
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    • 2023
  • The globalization of Korean culture has spurred a steady increase in the participation of domestic fashion designers in global performance art. This study analyzes the formal elements of stage costume designs by fashion designers, and further evaluates the impact of these designers' aesthetic philosophies on overall performance. This analysis seeks to provide a foundation for the development of new directionality in performance art, with an enhanced competitiveness derived from diversity and creativity. The scope of this research spans 15 performances and eight fashion designers' works in the post-2010s era. These performances are characterized by their break from traditional artistic norms, illustrating the modernization of the performing arts and reflecting the designers' aesthetic philosophies. This modernization incorporates inspirations drawn from a diverse selection of movements, such as fusion, culture clash, kitsch, and minimal avant-garde. As a result, in combination with a pure reflection of the designers' aesthetics, these designs heighten overall performance, suggest a new direction for traditional performance art, tap into a popular sensibility to expand communication to a wider audience, and push the boundaries of tradition through artistic innovation.

Usefulness of "Volumetrix Suite" with SPECT/CT (SPECT/CT 영상에서 Volumetrix Suite의 유용성)

  • Cho, Seung-Wook;Shin, Byeong-Ho;Kim, Jong-Pil;Yoon, Seok-Hwan;Kim, Tae-Yeub;Seung, Yong-Joon;Moon, Il-Sang;Woo, Jae-Ryong;Lee, Ho-Young
    • The Korean Journal of Nuclear Medicine Technology
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    • v.14 no.2
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    • pp.166-171
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    • 2010
  • Purpose: The SPECT/CT is able to acquire diagnostic information resolved the difficult problems that discriminate regions of focals by intergrating functional images and anatomical images. We introduce the usefulness of "Volumetrix Suite" which can describe 3D images by the convergence of the SPECT/CT images and reference CT images. Materials and Methods: We applied Volumetrix Suite program (Volumetrix IR, Volumetrix 3D) to patients, Bone, Venography, Parathyroid, WBC, taken diagnostic CT examination which have same regions of focal in Seoul Metropolitan Government Seoul National University Boramae Medical Center. After acquiring SPECT/CT images and reference CT images, we fused a couple of scans applying for this programs. The CT scan of Infinia Hawkeye 4 shows limitation of anatomical information. For this reason, we tried to transfer CT images that have lots of diagnostic informations as the form of Dicom file in PACS, and changed from 2D images to 3D images after image registering in Xeleris Workstaion of Hawkeye 4. Results & Conclusion: By using Volumetrix Suite program, we're able to acquire more accurate anatomical informations with 3D rendering which can distinguish both location and range of focals in Infinia Hawkeye 4. Thus, the result of utilizing this program indicate that nuclear medicine anatomical images can be improved by providing more diagnostic imformations produced by its program.

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Classification of Characters out of their Original Cultural Forms to Create Digital Contents : Focusing on Avalokitesvara (觀音菩薩) and Buddhist child (童子) (디지털콘텐츠 제작을 위한 전통문화원형의 캐릭터 분류 : 관음보살(觀音菩薩) 및 동자(童子)를 중심으로)

  • Lee, Young-Suk;Shin, Seung-Yun
    • Cartoon and Animation Studies
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    • s.27
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    • pp.153-176
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    • 2012
  • In the midst of the fusion era in digital contents, securing a variety of traditional cultural sources is important. Out of its long history, Korea has extensive spectrum of cultural contents in combination with conventional religions. Buddhist art has been a pillar of the traditional culture for a long time in Korea, by which we could secure new sources for cultural contents and classify them. This is aimed that we could bring the future brands into reality based on the traditional culture through Buddhist cultural contents. This study hired the original cultural forms in the viewpoints of traditional culture. Study on the implication through the symbols of Avalokitesvara (觀音菩薩) and Buddhist child (童子) in Buddhist art might allow to secure a foothold to create own characters. Thus, focusing on Avalokitesvara (觀音菩薩) and Buddhist child (童子) in the Buddhist sacred images as registered in Cultural Heritage Administration for national treasures, those traditional characters were reviewed through their own system of symbol. During the course, Buddhist characters were available to be classified into DB by their roles and materials지물. This study could help to exploit the complicated Buddhist culture of its symbolic meanings and to shape them into original forms of the culture. Also, through the meanings of the Buddhist sacred images, it could provide the digital contents pool with Korean traditional characters.