• Title/Summary/Keyword: spatial problem

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Analysis and Improvement of Interior Orientation Accuracy of KOMPSAT-2 PANchromatic Bands (KOMPSAT-2 영상 PAN밴드의 내부표정 정확도 분석 및 개선방안 연구)

  • Kim, Tae-Jung;Jeong, Jae-Hoon;Kim, Deok-In
    • Korean Journal of Remote Sensing
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    • v.26 no.4
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    • pp.439-449
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    • 2010
  • This paper reports experiments and analysis work done to find out the cause of Y parallex for stereo pairs of KOMPSAT-2 images and means to improve the Y parallex problem. We could conclude that the Y parallex problem was caused by resampling errors of KOMPSAT-2 PANchromatic bands, induced by the process of warping PANchromatic band with reference to multispectral bands. We could also conclude that a rigorous warping process could improve resampling of KOMPSAT-2 PANchromatic band and remove the Y parallex problem significantly. We also confirmed that a rigorous warping process could also remove blocky brightness patterns present on KOMPSAT-2 PANchromatic band. Therefore, by implementing more rigorous warping process within KOMPSAT-2 scene generation procedures, KOMPSAT-2 geometric and radiometric quality will be improved.

Design of Scenario Creation Model for AI-CGF based on Naval Operations, Resources Analysis Model(I): Evolutionary Learning (해군분석모델용 AI-CGF를 위한 시나리오 생성 모델 설계(I): 진화학습)

  • Hyun-geun, Kim;Jung-seok, Gang;Kang-moon, Park;Jae-U, Kim;Jang-hyun, Kim;Bum-joon, Park;Sung-do, Chi
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.6
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    • pp.617-627
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    • 2022
  • Military training is an essential item for the fundamental problem of war. However, there has always been a problem that many resources are consumed, causing spatial and environmental pollution. The concepts of defense modeling and simulation and CGF(Computer Generated Force) using computer technology began to appear to improve this problem. The Naval Operations, Resources Analysis Model(NORAM) developed by the Republic of Korea Navy is also a DEVS(Discrete Event Simulation)-based naval virtual force analysis model. The current NORAM is a battle experiment conducted by an operator, and parameter values such as maneuver and armament operation for individual objects for each situation are evaluated. In spite of our research conducted evolutionary, supervised, reinforcement learning, in this paper, we introduce our design of a scenario creation model based on evolutionary learning using genetic algorithms. For verification, the NORAM is loaded with our model to analyze wartime engagements. Human-level tactical scenario creation capability is secured by automatically generating enemy tactical scenarios for human-designed Blue Army tactical scenarios.

A Study on the Application of Universal Design for Environment of People with Disabilities (장애인의 생활환경을 위한 유니버설 디자인의 적용에 관한 연구)

  • Lee, Cu-Rie;Kim, Tae-Hwan
    • Journal of Korean Physical Therapy Science
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    • v.6 no.3
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    • pp.91-106
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    • 1999
  • In the present day. there has been concern to improve the environment which included with no age limit and disability. But many buildings differentiate people with disabilities from people with non-disabilities and it is problem that infringe upon impartiality. Because people have a variety of age, disability, health-condition and so forth, they do not want to a target of special relation. As an alternative plan, it is necessary to introduce the universal design which is able to use for every body and all-round environment. Based on universal design, this paper reports what can be apply from building service from building and proposes basic of the spatial building service to improve the quality of life of people.

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A Study on the Architectural planning of Geriatric Hospitals - Focused on analyzing the spatial organization and size of major areas - (노인전문병원의 건축계획적 연구 - 주요부문별 공간구성 및 면적구성을 중심으로 -)

  • 김성한;이종협;강건희
    • Korean Institute of Interior Design Journal
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    • no.36
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    • pp.68-75
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    • 2003
  • In Korea, even though many aspects of medical care system for the elderly have been considered. Until now, most people have realized that the conceptualization range of geriatric hospital is the same as recuperation hospital. However the recent geriatric hospital includes a short term treatment like general hospitals, together with that it has a tendency to increase the propotion of rehabilitationby the Introduction of the concept of active rehabilitation treatment for returning to society. Unlike the general hospitals, geriatric hospital has got different characteristics in a managing and patient. However this is not a concrete standard of faacilities by the law of health welfare and medical. So these kinds of research will have to keep continuing. What I want to say In this study is that the prominence of information, which is based on the existing data analysis, is what forms my latest projects that engage with a wider repertoire of strategies and approaches toward architectural problem.

THE IMPROVEMENT OF POSITION ACCURACY USING INVERTED DGPS (NVERTED DGPS를 이용한 위치 정밀도 향상)

  • 이상혁;최규홍;박종욱;박필호
    • Journal of Astronomy and Space Sciences
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    • v.18 no.1
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    • pp.63-70
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    • 2001
  • IDGPS(Inverted Differential Global Positioning System) is one of technique improving the accuracy of GPS positioning and is mostly used for tracking an automatic vehicle. In the IDGPS, the user send it’s GPS position and related satellite information to dispatcher, and the corrections are made at the dispatcher to get corrected user position. IDGPS suffered correction degradation as the baseline become large. This problem is resolved using NIDGPS(Network IDGPS). As the experimental results are demonstrated, the improvement of position accuracy using IDGPS and NIDGPS is verified.

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Teleology, Discontinuity and World History: Periodization and Some Creation Myths of Modernity

  • Pomeranz, Kenneth
    • Asian review of World Histories
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    • v.1 no.2
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    • pp.189-226
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    • 2013
  • Discussions of world history often focus on the pros and cons of thinking on large spatial scales. However, world history also tends to employ unusually large timescales, both for research and teaching; frequently it is framed around a teleology and a series of "revolutions" which mark milestones taking humans from a very distant past to "modernity". Moreover, world history usually rejects regionally specific period markers (e.g. Renaissance), making periodization within this long timespan especially difficult. This article surveys various approaches to these problems, and shows that any of them, if treated as sufficient by itself, introduces significant distortions. It argues for a world history that highlights this problem, rather than hiding it, and which uses the need to deploy multiple timescales simultaneously to clarify the distinctive intellectual contribution of historical thinking.

HMM-Based Transient Identification in Dynamic Process

  • Kwon, Kee-Choon
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.1
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    • pp.40-46
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    • 2000
  • In this paper, a transient identification based on a Hidden Markov Model (HMM) has been suggested and evaluated experimentally for the classification of transients in the dynamic process. The transient can be identified by its unique time dependent patterns related to the principal variables. The HMM, a double stochastic process, can be applied to transient identification which is a spatial and temporal classification problem under a statistical pattern recognition framework. The HMM is created for each transient from a set of training data by the maximum-likelihood estimation method. The transient identification is determined by calculating which model has the highest probability for the given test data. Several experimental tests have been performed with normalization methods, clustering algorithms, and a number of states in HMM. Several experimental tests have been performed including superimposing random noise, adding systematic error, and untrained transients. The proposed real-time transient identification system has many advantages, however, there are still a lot of problems that should be solved to apply to a real dynamic process. Further efforts are being made to improve the system performance and robustness to demonstrate reliability and accuracy to the required level.

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An Orbit Robust Control Based on Linear Matrix Inequalities

  • Prieto, D.;Bona, B.
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.454-459
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    • 2004
  • This paper considers the problem of satellite's orbit control and a solution based in Linear Matrix Inequalities (LMI) is proposed for the case of Low Earth Orbiters (LEO). In particular, the modelling procedure and the algorithm for control law synthesis are tested using as study case the European Gravity Field and Ocean Circulation Explorer satellite (GOCE), to be launched by the European Space Agency (ESA) in the year 2006. The scientific objective of this space mission is the recovering of the Earth gravity field with high accuracy (less than 10${\mu}m$/${\mu}m$) and spatial resolution (better than 100km). In order to meet these scientific requirements, the orbit control must guarantee stringent specifications in terms of environmental disturbances attenuation (atmospheric drag forces) even in presence of high levels of model uncertainty.

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Efficient Cross-Room Switch Mechanism for Indoor Room-Division-Multiplexing Based Visible Light Communication Network

  • Huang, Zhitong;Xiong, Jieqing;Li, Jianfeng;Ji, Yuefeng
    • Journal of the Optical Society of Korea
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    • v.19 no.4
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    • pp.351-356
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    • 2015
  • Visible light communication (VLC) is considered to be an attractive scheme to realize the broadband wireless communication for an indoor environment. We present a room division multiplexing (RDM) mechanism for an indoor multi-room VLC network, which utilizes the spatial position of the LED lamp in different rooms as a novel dimension of network resource for multiplexing, and thus the network capacity is increased. In such a network, the service interruption caused by user cross-room movement is an important problem, and we propose a double-area-positioning based cross-room switch solution. An experimental platform demonstrates the RDM-deployed VLC network, and validates the performance of the presented switch mechanism.

Human Motion Recognition Based on Spatio-temporal Convolutional Neural Network

  • Hu, Zeyuan;Park, Sange-yun;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.977-985
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    • 2020
  • Aiming at the problem of complex feature extraction and low accuracy in human action recognition, this paper proposed a network structure combining batch normalization algorithm with GoogLeNet network model. Applying Batch Normalization idea in the field of image classification to action recognition field, it improved the algorithm by normalizing the network input training sample by mini-batch. For convolutional network, RGB image was the spatial input, and stacked optical flows was the temporal input. Then, it fused the spatio-temporal networks to get the final action recognition result. It trained and evaluated the architecture on the standard video actions benchmarks of UCF101 and HMDB51, which achieved the accuracy of 93.42% and 67.82%. The results show that the improved convolutional neural network has a significant improvement in improving the recognition rate and has obvious advantages in action recognition.