• Title/Summary/Keyword: Model Based Method

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Change Detection Using Deep Learning Based Semantic Segmentation for Nuclear Activity Detection and Monitoring (핵 활동 탐지 및 감시를 위한 딥러닝 기반 의미론적 분할을 활용한 변화 탐지)

  • Song, Ahram;Lee, Changhui;Lee, Jinmin;Han, Youkyung
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.991-1005
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    • 2022
  • Satellite imaging is an effective supplementary data source for detecting and verifying nuclear activity. It is also highly beneficial in regions with limited access and information, such as nuclear installations. Time series analysis, in particular, can identify the process of preparing for the conduction of a nuclear experiment, such as relocating equipment or changing facilities. Differences in the semantic segmentation findings of time series photos were employed in this work to detect changes in meaningful items connected to nuclear activity. Building, road, and small object datasets made of KOMPSAT 3/3A photos given by AIHub were used to train deep learning models such as U-Net, PSPNet, and Attention U-Net. To pick relevant models for targets, many model parameters were adjusted. The final change detection was carried out by including object information into the first change detection, which was obtained as the difference in semantic segmentation findings. The experiment findings demonstrated that the suggested approach could effectively identify altered pixels. Although the suggested approach is dependent on the accuracy of semantic segmentation findings, it is envisaged that as the dataset for the region of interest grows in the future, so will the relevant scope of the proposed method.

Development of a Acoustic Acquisition Prototype device and System Modules for Fire Detection in the Underground Utility Tunnel (지하 공동구 화재재난 감지를 위한 음향수집 프로토타입 장치 및 시스템 모듈 개발)

  • Lee, Byung-Jin;Park, Chul-Woo;Lee, Mi-Suk;Jung, Woo-Sug
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.5
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    • pp.7-15
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    • 2022
  • Since the direct and indirect damage caused by the fire in the underground utility tunnel will cause great damage to society as a whole, it is necessary to make efforts to prevent and control it in advance. The most of the fires that occur in cables are caused by short circuits, earth leakage, ignition due to over-current, overheating of conductor connections, and ignition due to sparks caused by breakdown of insulators. In order to find the cause of fire at an early stage due to the characteristics of the underground utility tunnel and to prevent disasters and safety accidents, we are constantly managing it with a detection system using image analysis and making efforts. Among them, a case of developing a fire detection system using CCTV-based deep learning image analysis technology has been reported. However, CCTV needs to be supplemented because there are blind spots. Therefore, we would like to develop a high-performance acoustic-based deep learning model that can prevent fire by detecting the spark sound before spark occurs. In this study, we propose a method that can collect sound in underground utility tunnel environments using microphone sensor through development and experiment of prototype module. After arranging an acoustic sensor in the underground utility tunnel with a lot of condensation, it verifies whether data can be collected in real time without malfunction.

Improved Anatomical Landmark Detection Using Attention Modules and Geometric Data Augmentation in X-ray Images (어텐션 모듈과 기하학적 데이터 증강을 통한 X-ray 영상 내 해부학적 랜드마크 검출 성능 향상)

  • Lee, Hyo-Jeong;Ma, Se-Rie;Choi, Jang-Hwan
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.55-65
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    • 2022
  • Recently, deep learning-based automated systems for identifying and detecting landmarks have been proposed. In order to train such a deep learning-based model without overfitting, a large amount of image and labeling data is required. Conventionally, an experienced reader manually identifies and labels landmarks in a patient's image. However, such measurement is not only expensive, but also has poor reproducibility, so the need for an automated labeling method has been raised. In addition, in the X-ray image, since various human tissues on the path through which the photons pass are displayed, it is difficult to identify the landmark compared to a general natural image or a 3D image modality image. In this study, we propose a geometric data augmentation technique that enables the generation of a large amount of labeling data in X-ray images. In addition, the optimal attention mechanism for landmark detection was presented through the implementation and application of various attention techniques to improve the detection performance of 16 major landmarks in the skull. Finally, among the major cranial landmarks, markers that ensure stable detection are derived, and these markers are expected to have high clinical application potential.

Internal Foundation on the 'of', 'for', 'from' Lifelong Education for the Disabled: Convergence of Developmental Disabilities and Schools (장애인평생교육'의', '을 위한', '으로부터' 내부 토대: 발달장애(developmental disabilities)-학교(schools) 융합)

  • Kim, Young-Jun;Kim, Wha-Soo;Kwon, Ryang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.67-74
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    • 2021
  • The purpose of this study is to explore the internal foundation of lifelong education for the disabled. The composition system of the meaning of contents for this purpose is divided into three elements: 'of' which means subject based on lifelong education for the disabled, 'for' which means purpose, and 'from' which means practical main base. The research method was to discuss the academic basis, practical application model and plan, or to analyze the literature through the previous studies that were actualized in order to form the internal foundation of the support system for lifelong education for the disabled. Second, the expert meeting was conducted to improve the specificity of the research contents based on the basis of the literature analysis. The contents of this study are presented in two main ways: the foundation of developmental disabilities and the foundation of schools by synthesizing the main bases of subjects, purposes, and practical base required to form the internal foundation of lifelong education for the disabled. The above two factors first establish the internal universality of the support system for lifelong education for the disabled, and in connection with the types of sensory disabilities and the general lifelong education. As a result, the long-term stability of the overall support system for lifelong education for the disabled was analyzed.

Design of WebZine for Marketing of the Presidential Archives: Based on 'On-Gi', a Newsletter of the Presidential Archives (대통령기록관 마케팅을 위한 웹진(WebZine)의 설계 제안 - 대통령기록관 '온기(On-記)'를 기반으로 -)

  • Jang, Hyo-Jeong;Lee, Yong-Jae;Kim, Na-Kyung;Jeong, Jin-Gyeong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.3
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    • pp.267-293
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    • 2022
  • A webzine issued by a public institution not only plays a role in communication between members of the institution and its users, but is itself a meaningful record. In addition, as one of the management techniques of the archives, there is a growing awareness that active marketing is needed to promote the service and allow potential users to visit the archives. Therefore, efforts should be made to increase user satisfaction by identifying user needs, composing content reflecting them, and selecting user-centered interfaces appropriately. The purpose of this study is to design 'On-Gi', a newsletter of the Presidential Archives, as a user-participating smart platform in a smart device environment. As a research method, we first looked at the current status of webzine publication by relevant domestic institutions. Next, we compared and analyzed the issue of 'On-Gi' provided by the Presidential Archives and major contents. Based on this, a design model of the webzine for the marketing of the Presidential Archives was proposed. This can be used as a key marketing strategy for the Presidential Archives in the new user environment of technological innovation of smart devices.

Design of High Efficiency Permanent Magnet Synchronous Generator for Application of Waste Heat Generation ORC System (폐열발전 ORC 시스템 적용을 위한 고효율 영구자석형 동기발전기 설계)

  • Yeong-Jung Kim;Seung-Jin Yang;Chae-Joo Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.45-52
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    • 2023
  • The power generation method using expensive diesel has operation problems such as high cost diesel generator and a lack of reserved power due to increase of power demand in some islands, requiring expansion of power generation facilities. To solve this problems, it is necessary to improve the efficiency of power generation facilities through an ORC(Organic Rankin Cycle) system application that uses waste heat as a heat source. Therefore, localized application technology of price competitive and highly reliable ORC power generation system is needed, and optimization technology of generators is having great effect, so this study performed two generator designs to get a high-efficiency generator with an optimized 30kW output. The comparison of simulation data for two designed models showed that a generator with SPM factor of 46.2% had an efficiency of 92.1% and a power ouput of about 23.2kW based on 12,000rpm, a generator with SPM factor of 44.46%, had a power output of 27.9kW and efficiency of 93.6% based on above rpm. For the verification of improved design model with SPM factor of 44.46%, the prototype test system with 110kW motor dynamometer was installed and got to the efficiency of 92.08% with conditions of the rated capacity 25kW at 12,000rpm, the test results of prototype generator showed the validity of generator design.

Probabilistic Safety Assessment of Gas Plant Using Fault Tree-based Bayesian Network (고장수목 기반 베이지안 네트워크를 이용한 가스 플랜트 시스템의 확률론적 안전성 평가)

  • Se-Hyeok Lee;Changuk Mun;Sangki Park;Jeong-Rae Cho;Junho Song
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.4
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    • pp.273-282
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    • 2023
  • Probabilistic safety assessment (PSA) has been widely used to evaluate the seismic risk of nuclear power plants (NPPs). However, studies on seismic PSA for process plants, such as gas plants, oil refineries, and chemical plants, have been scarce. This is because the major disasters to which these process plants are vulnerable include explosions, fires, and release (or dispersion) of toxic chemicals. However, seismic PSA is essential for the plants located in regions with significant earthquake risks. Seismic PSA entails probabilistic seismic hazard analysis (PSHA), event tree analysis (ETA), fault tree analysis (FTA), and fragility analysis for the structures and essential equipment items. Among those analyses, ETA can depict the accident sequence for core damage, which is the worst disaster and top event concerning NPPs. However, there is no general top event with regard to process plants. Therefore, PSA cannot be directly applied to process plants. Moreover, there is a paucity of studies on developing fragility curves for various equipment. This paper introduces PSA for gas plants based on FTA, which is then transformed into Bayesian network, that is, a probabilistic graph model that can aid risk-informed decision-making. Finally, the proposed method is applied to a gas plant, and several decision-making cases are demonstrated.

Numerical investigation on cavitation and non-cavitation flow noise on pumpjet propulsion (펌프젯 추진기의 공동 비공동 유동소음에 대한 수치적 연구)

  • Garam Ku;Cheolung Cheong;Hanshin Seol;Hongseok Jeong
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.3
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    • pp.250-261
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    • 2023
  • In this study, the noise contributions by the duct, stator and rotor, which are the propulsor components, are evaluated to identify the flow noise source in cavitation and non-cavitation conditions on pumpjet propulsion and the noise levels in both conditions are compared. The unsteady incompressible Reynolds averaged Navier-Stokes (RANS) equation based on the homogeneous mixture assumption is applied on the suboff submarine hull and pumpjet propeller in the cavitation tunnel, and the Volume of Fluid (VOF) method and Schnerr-Sauer cavitation model are used to describe the two-phase flow. Based on the flow simulation results, the acoustic analogy formulated by Ffowcs Williams and Hawkings (FW-H) equation is applied to predict the underwater radiated noise. The noise contributions are evaluated by using the three types of impermeable integral surface on the duct, stator and rotor, and the two types of permeable integral surface surrounding the propulsor. As a result of noise prediction, the contribution by the stator is insignificant, but it affects the generation of flow noise source due to flow separation in the duct and rotor, and the noise is predominantly radiated into the upward and right where the flow separations are. Also, the noise is radiated into the thrust direction due to pressure fluctuation between suction and pressure sides on the rotor blades, and the it can be seen that the cavitation effect into the noise can be considered through the permeable integral surface.

The Effect of Convergence Reading Education on the Convergence Literacy of Adolescents: Focusing on the Mediating Effect of Learning Motivation (융합독서교육이 청소년의 융합적 소양에 미치는 영향 - 학습동기의 매개효과를 중심으로 -)

  • Soo-Youn Cho;Miah Cho
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.2
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    • pp.151-178
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    • 2023
  • The purpose of this study is to investigate the effect of school library reading classes on the convergence literacy of adolescents based on the convergence reading education model. To achieve this, elements of convergence education for future-oriented competence were derived from the level of reading education based on previous studies and literature, and the effectiveness of education was measured by conducting a convergence literacy test targeting 50 general high school students. In this study, reading classes and tests were conducted over 12 sessions from April 2022 to November 2022, and the study participants were divided into two groups, and convergence reading education and self-reading education were applied respectively. The analysis results of this study are as follows. First, It was verified that there was a significant difference in the promotion of convergent literacy of adolescents according to the method of reading education. Second, it was verified that convergence reading education had a significant effect on convergence literacy of adolescents such as convergence, creativity, self-direction and communication ability. Third, as a result of verifying whether learning motivation plays a mediating role in convergence reading education influencing convergent literacy, learning motivation played a partial mediating role and had an indirect effect on creativity, self-direction, and communication ability between convergence reading education and convergence literacy, but showed no significant mediating effect on convergence ability.

Numerical Analysis of Runup and Wave Force Acting on Coastal Revetment and Onshore Structure due to Tsunami (해안안벽과 육상구조물에서 지진해일파의 처오름 및 작용파력에 관한 수치해석)

  • Lee, Kwang Ho;Kim, Chang Hoon;Kim, Do Sam;Yeh, Harry;Hwang, Young Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3B
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    • pp.289-301
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    • 2009
  • In this work, wave run-up heights and resultant wave forces on a vertical revetment due to tsunami (solitary wave) are investigated numerically using a numerical wave tank model called CADMAS-SURF (CDIT, 2001. Research and Development of Numerical Wave Channel (CADMAS-SURF). CDIT library, No. 12, Japan.), which is based on a 2-D Navier-Stokes solver, coupled to a volume of fluid (VOF) method. The third order approximate solution (Fenton, 1972. A ninth-order solution for the solitary wave. J. of Fluid Mech., Vol. 53, No.2, pp.257-271) is used to generate solitary waves and implemented in original CADMAS-SURF code. Numerical results of the wave profiles and forces are in good agreements with available experimental data. Using the numerical results, the regression curves determined from the least-square analysis are proposed, which can be used to determine the maximum wave run-up height and force on a vertical revetment due to tsunami. In addition, the capability of CADMAS-SURF is demonstrated for tsunami wave forces acting on an onshore structure using various configuration computations including the variations of the crown heights of the vertical wall and the position of the onshore structure. Based on the numerical results such as water level, velocity field and wave force, the direct effects of tsunami on an onshore structure are discussed.