• Title/Summary/Keyword: 생성형 모델

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Theoretical Studies on the Photochemical Reaction of Psoralens (Ⅱ) Structure-Activity Studies on the Psoralen Photoadducts (소랄렌의 광화학 반응에 대한 이론적 연구 (Ⅱ) 소랄렌 광생성물의 구조에 대하여)

  • Kim, Ja Hong;Son, Seong Ho;Yang, Gi Su;Hong, Seong Wan
    • Journal of the Korean Chemical Society
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    • v.38 no.1
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    • pp.8-12
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    • 1994
  • The structure-activity studies are described for the photoreaction of naturally occuring psoralen with thymine. Thymine <> psoralen <> thymine photodiadducts from DNA is studied as a model for the charge transfer interaction by the semiempirical methods (PM3-CI-UHF, etc.). The relative structural activities of psoralen, and photoadducts are analyzed in terms of their differing abilities of psoralen and photoadducts are investigated both with regard to their abilities to complex and to intercalate with thymine base. The photoadducts were inferred to be a trans-anti Psoralen(3,4) <> Thymine(5,6) and cis-anti Thymine(5,6) <> (4',5')Psoralen(3,4) <> Thymine.

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Development of relational river data model based on river network for multi-dimensional river information system (다차원 하천정보체계 구축을 위한 하천네트워크 기반 관계형 하천 데이터 모델 개발)

  • Choi, Seungsoo;Kim, Dongsu;You, Hojun
    • Journal of Korea Water Resources Association
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    • v.51 no.4
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    • pp.335-346
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    • 2018
  • A vast amount of riverine spatial dataset have recently become available, which include hydrodynamic and morphological survey data by advanced instrumentations such as ADCP (Acoustic Doppler Current Profiler), transect measurements obtained through building various river basic plans, riverine environmental and ecological data, optical images using UAVs, river facilities like multi-purposed weir and hydrophilic sectors. In this regard, a standardized data model has been subsequently required in order to efficiently store, manage, and share riverine spatial dataset. Given that riverine spatial dataset such as river facility, transect measurement, time-varying observed data should be synthetically managed along specified river network, conventional data model showed a tendency to maintain them individually in a form of separate layer corresponding to each theme, which can miss their spatial relationship, thereby resulting in inefficiency to derive synthetic information. Moreover, the data model had to be significantly modified to ingest newly produced data and hampered efficient searches for specific conditions. To avoid such drawbacks for layer-based data model, this research proposed a relational data model in conjunction with river network which could be a backbone to relate additional spatial dataset such as flowline, river facility, transect measurement and surveyed dataset. The new data model contains flexibility to minimize changes of its structure when it deals with any multi-dimensional river data, and assigned reach code for multiple river segments delineated from a river. To realize the newly developed data model, Seom river was applied, where geographic informations related with national and local rivers are available.

Effects of Heat Input and Bead Generation Methods on Finite Element Analysis of Cylindrical Multi-Pass Welding Process of Metals (열원 입력과 비드 생성 방법이 원통형 다층 금속 용접 과정의 유한요소해석에 미치는 영향)

  • Park, Won Dong;Bahn, Chi Bum;Kim, Ji Hoon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.6
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    • pp.455-467
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    • 2017
  • In this study, a finite element analysis of a cylindrical multi-pass weldment for dissimilar metals was performed. The effects of the heat input method and weld bead generation method were considered. We compared two heat input methods: the heat flux method and the temperature method. We also compared two weld bead generation methods: the element birth method and the quiet element method. Although the results of the thermal analysis show deviations between the two heat input methods, the welding residual stresses were similar. Because the areas exposed to high temperature were similar and the strength of the material was very low in high temperature (above the $1000^{\circ}C$), the effects of the weld bead temperature were insignificant. The distributions of the welding residual stress were similar to each other. However, gaps and overlaps occurred on the welding boundary surfaces when the element birth method was applied. The quiet element method is more suitable for a large deformation model in order to simulate a more accurate weld shape.

Intelligent Video Surveillance System for Video Analysis, Recognition and Tracking (비디오 영상분석, 인식 및 추적을 위한 지능형 비디오 감시시스템)

  • Kim, Tae-Kyung;Paik, Joon-Ki
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.498-500
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    • 2012
  • 비디오 해석 및 추적기술은 특정한 시스템에서만 적용되는 것이 아니다. 이것은 비디오 내에서 의미 있는 정보를 능동적으로 감시 대상을 정의, 해석, 모델화, 추정 및 추적 할 수 있는 기반 기술을 의미하다. 일반적으로 감시시스템에서 감시 대상은 사람이나 차량이며, 상황에 따라 출입통제 구역으로 설정하기도 한다. 이는 연속된 영상에서 객체의 형태, 모양, 행동 분석, 움직임, 색상정보를 가지고 데이터 정의, 검출, 모델화를 통하여 인식, 식별 그리고 추적한다. 본 논문에서는 비디오 영상분석을 통해 단일카메라기반의 감시시스템과 PTZ 카메라기반 감시시스템 제안한다. 이때 단일 카메라기반의 감시는 배경생성방법을 이용하여 연속된 영상내의 객체를 지속적으로 관리가 가능하도록 설계하였고, PTZ 카메라기반의 감시는 카메라의 이동에 따른 배경안정화 방법과 카메라의 절대좌표를 활용하여 카메라 이동을 제어함과 동시에 오검출 문제를 해결하였다. 실험 및 결과분석으로는 시나리오 환경에서 배경생성방법을 이용한 검출의 정확성과 PTZ카메라 위치 변화에도 강인한 검출 결과를 비교 분석하였다.

Generative Model of Acceleration Data for Deep Learning-based Damage Detection for Bridges Using Generative Adversarial Network (딥러닝 기반 교량 손상추정을 위한 Generative Adversarial Network를 이용한 가속도 데이터 생성 모델)

  • Lee, Kanghyeok;Shin, Do Hyoung
    • Journal of KIBIM
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    • v.9 no.1
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    • pp.42-51
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    • 2019
  • Maintenance of aging structures has attracted societal attention. Maintenance of the aging structure can be efficiently performed with a digital twin. In order to maintain the structure based on the digital twin, it is required to accurately detect the damage of the structure. Meanwhile, deep learning-based damage detection approaches have shown good performance for detecting damage of structures. However, in order to develop such deep learning-based damage detection approaches, it is necessary to use a large number of data before and after damage, but there is a problem that the amount of data before and after the damage is unbalanced in reality. In order to solve this problem, this study proposed a method based on Generative adversarial network, one of Generative Model, for generating acceleration data usually used for damage detection approaches. As results, it is confirmed that the acceleration data generated by the GAN has a very similar pattern to the acceleration generated by the simulation with structural analysis software. These results show that not only the pattern of the macroscopic data but also the frequency domain of the acceleration data can be reproduced. Therefore, these findings show that the GAN model can analyze complex acceleration data on its own, and it is thought that this data can help training of the deep learning-based damage detection approaches.

Point Cloud Registration Algorithm Based on RGB-D Camera for Shooting Volumetric Objects (체적형 객체 촬영을 위한 RGB-D 카메라 기반의 포인트 클라우드 정합 알고리즘)

  • Kim, Kyung-Jin;Park, Byung-Seo;Kim, Dong-Wook;Seo, Young-Ho
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.765-774
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    • 2019
  • In this paper, we propose a point cloud matching algorithm for multiple RGB-D cameras. In general, computer vision is concerned with the problem of precisely estimating camera position. Existing 3D model generation methods require a large number of cameras or expensive 3D cameras. In addition, the conventional method of obtaining the camera external parameters through the two-dimensional image has a large estimation error. In this paper, we propose a method to obtain coordinate transformation parameters with an error within a valid range by using depth image and function optimization method to generate omni-directional three-dimensional model using 8 low-cost RGB-D cameras.

Intelligent Hospital Information System Model for Medical AI Research/Development and Practical Use (의료인공지능 연구/개발 및 실용화를 위한 지능형 병원정보시스템 모델)

  • Shon, Byungeun;Jeong, Sungmoon
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.67-75
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    • 2022
  • Medical information is variously generated not only from medical devices but also from electronic devices. Recently, related convergence technologies from big data collection in healthcare to medical AI products for patient's condition analysis are rapidly increasing. However, there are difficulties in applying them because of independent developmental procedures. In this paper, we propose an intelligent hospital information system (iHIS) model to simplify and integrate research, development and application of medical AI technology. The proposed model includes (1) real-time patient data management, (2) specialized data management for medical AI development, and (3) real-time monitoring for patient. Using this, real-time biometric data collection and medical AI specialized data generation from patient monitoring devices, as well as specific AI applications of camera-based patient gait analysis and brain MRA-based cerebrovascular disease analysis will be introduced. Based on the proposed model, it is expected that it will be used to improve the HIS by increasing security of data management and improving practical use through consistent interface platformization.

A Study on Corrosion Product Behavior Prediction for Domestic PWR Primary System by using CRUDTRAN (CRUDTRAN을 이용한 국내 PWR 1차계통내 부식생성물 거동예측에 관한 연구)

  • Song, Jong Soon;Yoon, Tae-Bin;Lee, Sang-Heon
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.13 no.4
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    • pp.253-262
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    • 2015
  • Radionuclide deposited on the surface of several internal and external systems in a nuclear power plant is created by the activation of corrosion products from nuclear reactor structural materials and fission products. Especially, the constant contact between water and the surface corrodes the inside where primary system makes coolants and corrosion products mixed. Also, these are circulated along the systems. For comparing models, CRUDTRAN, DISER, MIGA-RT and CPAIR codes are analyzed to predict the quantity of radionuclide and corrosion product of primary reactor that are used at the stage of designing. The corrosion products behavior of domestic PWR primary system was predicted by using CRUDTRAN. This study aims to increase the reliability of corrosion product evaluation model by comparing the actual values and calculated values with the data of a Westing House-type Nuclear Power Plant.

Seismic Response Control of Structures Using Decentralized Response-Dependent MR Dampers (분산제어식 응답의존형 MR 감쇠기를 이용한 구조물의 지진응답제어)

  • Youn, Kyung-Jo;Min, Kyung-Won;Lee, Sang-Hyun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.20 no.6
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    • pp.761-767
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    • 2007
  • In centralized control system, complicated control systems including sensors, power supply and dampers should be required to satisfy the target response of large-scale structures. The practical applications of the centralized control system, however, is very difficult due to high order finite element model of structures, uncertainty of models, and limitations of the excitation system. In this study, the decentralized response-dependent MR damper of which magnetic field is automatically modulated according to the displacement or velocity transferred to the damper without any sensing and computing systems. this decentralized response-dependent MR damper are investigated according to the ranges of relative magnitude between the control force of MR damper and the story shear force of structures by nonlinear time history analysis. Finally, its performance is compared with centralized LQR algorithm which is used in general centralized control theory for a three story building structure.

Development of Multi-Touch/Context-Aware Convergence Digital Signage System based on Android OS Platform (안드로이드 플랫폼 기반 멀티 터치/상황인지형 융복합 디지털 사이니지 시스템 개발)

  • Nahm, Eui-Seok
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.245-251
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    • 2015
  • If a digital signage system is operated in PC mounted in the Window OS then the implementing price is very high. For resolving this problem, we used the Smartphone mounted in ARM Cortex family of multi-core processor-based mobile platform. We developed a low-power low-cost digital signage system and a remote convergence content management program based on web server. This convergence system manages advertising content to a remote control device anywhere using remote control technology. This system is one integrated system with display and is a low-power consumed and is developed in very efficient hardware interface. And condition sensors(intensity of illumination, temperature, weather, GPS etc) is equipped in the developed system. Automatic contents builder and Context-aware SMIL module is also implemented in the convergence system. We achieved over 50% power savings comparing with conventional Window OS system and 16 points multi-touch in our system.