• Title/Summary/Keyword: 조정 규칙

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A Control Method for designing Object Interactions in 3D Game (3차원 게임에서 객체들의 상호 작용을 디자인하기 위한 제어 기법)

  • 김기현;김상욱
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.322-331
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    • 2003
  • As the complexity of a 3D game is increased by various factors of the game scenario, it has a problem for controlling the interrelation of the game objects. Therefore, a game system has a necessity of the coordination of the responses of the game objects. Also, it is necessary to control the behaviors of animations of the game objects in terms of the game scenario. To produce realistic game simulations, a system has to include a structure for designing the interactions among the game objects. This paper presents a method that designs the dynamic control mechanism for the interaction of the game objects in the game scenario. For the method, we suggest a game agent system as a framework that is based on intelligent agents who can make decisions using specific rules. Game agent systems are used in order to manage environment data, to simulate the game objects, to control interactions among game objects, and to support visual authoring interface that ran define a various interrelations of the game objects. These techniques can process the autonomy level of the game objects and the associated collision avoidance method, etc. Also, it is possible to make the coherent decision-making ability of the game objects about a change of the scene. In this paper, the rule-based behavior control was designed to guide the simulation of the game objects. The rules are pre-defined by the user using visual interface for designing their interaction. The Agent State Decision Network, which is composed of the visual elements, is able to pass the information and infers the current state of the game objects. All of such methods can monitor and check a variation of motion state between game objects in real time. Finally, we present a validation of the control method together with a simple case-study example. In this paper, we design and implement the supervised classification systems for high resolution satellite images. The systems support various interfaces and statistical data of training samples so that we can select the most effective training data. In addition, the efficient extension of new classification algorithms and satellite image formats are applied easily through the modularized systems. The classifiers are considered the characteristics of spectral bands from the selected training data. They provide various supervised classification algorithms which include Parallelepiped, Minimum distance, Mahalanobis distance, Maximum likelihood and Fuzzy theory. We used IKONOS images for the input and verified the systems for the classification of high resolution satellite images.

Template-Based Object-Order Volume Rendering with Perspective Projection (원형기반 객체순서의 원근 투영 볼륨 렌더링)

  • Koo, Yun-Mo;Lee, Cheol-Hi;Shin, Yeong-Gil
    • Journal of KIISE:Computer Systems and Theory
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    • v.27 no.7
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    • pp.619-628
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    • 2000
  • Abstract Perspective views provide a powerful depth cue and thus aid the interpretation of complicated images. The main drawback of current perspective volume rendering is the long execution time. In this paper, we present an efficient perspective volume rendering algorithm based on coherency between rays. Two sets of templates are built for the rays cast from horizontal and vertical scanlines in the intermediate image which is parallel to one of volume faces. Each sample along a ray is calculated by interpolating neighboring voxels with the pre-computed weights in the templates. We also solve the problem of uneven sampling rate due to perspective ray divergence by building more templates for the regions far away from a viewpoint. Since our algorithm operates in object-order, it can avoid redundant access to each voxel and exploit spatial data coherency by using run-length encoded volume. Experimental results show that the use of templates and the object-order processing with run-length encoded volume provide speedups, compared to the other approaches. Additionally, the image quality of our algorithm improves by solving uneven sampling rate due to perspective ray di vergence.

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A Study of Chinese Peaceful Rise and East Asian Regional Cooperation (중국의 평화적 부상과 동아시아 지역협력 연구)

  • Shong, Il-Ho;Lee, Gye-Young
    • International Commerce and Information Review
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    • v.14 no.3
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    • pp.75-96
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    • 2012
  • China will replace the global governance of the 21st century in 2050. The rise of China provide the Chinese development model to other developing countries. There are positive element and disability element in China's 'peaceful rise' strategy at the same time. Success of the reform and opening up, market liberalization, economic interdependency, economic globalization, stability of ruling power, consolidation of one-party rule and soft power increase are the promotions of peaceful rise. China's rise as a power nation begins by regaining the superpower status in East Asia. East Asia is a lebensraum assuring a continuing growth to China. For this lebensraum, China shows an interest in institutionalization of regional economic cooperation. The core values of ASEAN, namely the mutual respect, harmonious coexistence, co-prosperity, egalitarianism and pluralism are in conform to China's policy of harmonious world and peaceful coexistence. Through this common value the tension in East Asia will be alleviated. By the regional hegemony strategy based on soft power and economic success, China will try to regain the past glorious position. Attaining status as a coordinator of the world rule will be based on the success of the East Asian strategy. Korea and other neighboring countries will be the best beneficiary countries of the China's rise strategy. China's rising strategy will have a profound effect on neighboring countries especially, Korea. The scale of the movement of goods, labor, and capital between the two countries will become much larger than present. Through regional trade agreements, economic interdependency between Korea and China will increase.

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Measurement of Ir-192 Source Activity for High Dose Rate Brachytherapy (고 선량률 근접치료시 사용되는 Ir-192 선원의 방사능 평가)

  • 최동락;허승재;안용찬;임도훈;김대용;우홍균
    • Progress in Medical Physics
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    • v.8 no.1
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    • pp.25-29
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    • 1997
  • Ir-192 source activity for high dose rate brachytherapy is measured using Farmertype ionization chamber. The source-to-chamber distance is 10 cm and the measured charge unit is converted to activity unit. The measured values are compared to the values provided from vendor. Because of time dependency of Ir-192 source activity, the activities are regularly checked and compared to calculated values. As the accuracy of Ir-192 source activity is depend on the mechanical measurement setup, we estimated the precision of remote controlled source dwell position using home-made device and film scanner. The difference between measured and predicted dwell position is within 1 mm. As a result, the errors of source activity are 0.7${\pm}$1.5 % for measured and vendor-provided values and 0.l${\pm}$1.2% for measured and time-dependent calculated vlaues. In conclusion, our measured activity has been comparable to the values provided from vendor and our brachytherapy unit has been very accurate until now. Regular quality control of brachytherapy is essential for successful treatment which depends on the accuracy of source position and activity.

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Effective Harmony Search-Based Optimization of Cost-Sensitive Boosting for Improving the Performance of Cross-Project Defect Prediction (교차 프로젝트 결함 예측 성능 향상을 위한 효과적인 하모니 검색 기반 비용 민감 부스팅 최적화)

  • Ryu, Duksan;Baik, Jongmoon
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.3
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    • pp.77-90
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    • 2018
  • Software Defect Prediction (SDP) is a field of study that identifies defective modules. With insufficient local data, a company can exploit Cross-Project Defect Prediction (CPDP), a way to build a classifier using dataset collected from other companies. Most machine learning algorithms for SDP have used more than one parameter that significantly affects prediction performance depending on different values. The objective of this study is to propose a parameter selection technique to enhance the performance of CPDP. Using a Harmony Search algorithm (HS), our approach tunes parameters of cost-sensitive boosting, a method to tackle class imbalance causing the difficulty of prediction. According to distributional characteristics, parameter ranges and constraint rules between parameters are defined and applied to HS. The proposed approach is compared with three CPDP methods and a Within-Project Defect Prediction (WPDP) method over fifteen target projects. The experimental results indicate that the proposed model outperforms the other CPDP methods in the context of class imbalance. Unlike the previous researches showing high probability of false alarm or low probability of detection, our approach provides acceptable high PD and low PF while providing high overall performance. It also provides similar performance compared with WPDP.

A Proposition on Applying Agent-based Model for Analyzing Logistics System (물류시스템 분석을 위한 행위자 기반 모형 적용에 대한 제언)

  • Kim, Jun-Hyuk
    • Journal of Korea Port Economic Association
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    • v.26 no.3
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    • pp.130-142
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    • 2010
  • The purpose of this paper is to propose applying agent-based model(ABM) for analyzing logistics system. Logistics problems become more complex and multi-faceted. As a result, the behavior of the system becomes more and more difficult to predict, we see the limitations of the traditional top-down approach in handling complexity. The ABM, that is the bottom-up approach, provides new modeling framework in system modeling. The ABM focuses on the interactions of subsystem or agents in whole system. Then the macroscopic picture of the whole system behavior is emerged as the microscopic interactions of agents are aggregated. The ABM assumes that each agent acts based on simple rules learned from dynamic interactions among other agents or its surrounding environment. The ABM has a great advantage in understanding emergent phenomenon that cannot be explained only through considering individual attributes. The ABM is an extremely useful method to analyze complex system such as logistics system. Therefore, the great research efforts and applications on the ABM to logistics system are encouraged in future.

A Study on the Barrier Free Composition of Kindergarten (유치원의 장애물 없는 생활환경 조성에 관한 연구 - 광주광역시를 중심으로 -)

  • Song, Jung-Ran;Lee, Yong-Hwan
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.16 no.3
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    • pp.9-17
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    • 2017
  • This study investigates and analyzes the convenience facilities to strengthen or mitigate the Barrier Free awareness and Kindergarten Barrier Free for the kindergarten school staff and the public facility officials of the education office. In addition, to improve the Barrier Free, the improvement facilities of the kindergarten were investigated and analyzed. First, from the institutional viewpoint, it is necessary to amend the existing regulations of the Act for the Promotion of the Convenience Promotion of Disabled Persons, Elderly and Pregnant Women in Korea, and to change the facilities for duties and recommended installation of the kindergarten and the Barrier Free certification standards. Second, in order to apply the Barrier Free certification system to the kindergarten in terms of facility environment, it is necessary to activate the barrier kind of the kindergarten so as to receive the Barrier Free certification by lowering the score of the items difficult to improve due to the terrain or building structure. Third, the perception of Barrier Free is still not high in terms of social awareness. The purpose of this study is to investigate the method of creating a Barrier Free for a kindergarten in the education and living space of children who are the socially underprivileged. Therefore, based on this study, it is anticipated that it will be an opportunity to promote change of Barrier Free in Kindergarten if an attempt is made to improve the Barrier Free certification index suitable for public kindergarten.

Objectives and Strategies of Government Health Promotion Policy (정부의 건강증진사업 목표 및 추진방향)

  • Lee, Jong-Gu
    • Proceedings of The Korean Society of Health Promotion Conference
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    • 2005.09a
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    • pp.3-32
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    • 2005
  • 정부의 건강증진사업은 국민의 건강수명 연장과 삶의 질 향상에 궁극적인 목적이 있다. 이는 건강 지지적인 환경을 조성하고 질병을 예방${\cdot}$관리하며 평생 건강서비스를 제공하고 건강한 생활양식을 형성하도록 함으로써 달성될 수 있는 것이다. 건강증진사업을 위한 기반으로 연구와 개발 강화, 법과 규칙의 조정, 기금과 인력과 같은 자원 확보는 필수적이다. 정부의 건강증진전략은 첫째 자원할당의 우선순위를 확보하는 것으로 건강증진, 질병 및 손상의 예방, 재활관련 사업에 더욱 많은 자원을 할당하는 것이며, 둘째로 국가차원의 건강증진 프로그램을 개발하여 실행하는 것이다. 포괄적인 생애주기별 건강증진 프로그램(건강증진종합계획)과 모아보건, 학교보건, 산업보건, 그리고 만성질환예방프로그램 등이 포함된 포괄적인 프로그램을 개발하여 실행하는 것이다. 셋째로, 건강증진기금을 공공보건을 위한 하부기반과 건강증진 프로그램에 투자함으로써 사업의 하부기반을 정비하는 것이다. 건강증진사업을 위한 하부기반으로는 정책과 위임사항을 들 수 있는데, 국민건강증진법과 국민건강증진종합계획, 2005년 6월에 서울시 의회를 통과한 건강도시추진위원회를 들 수 있다. 정부의 건강증진사업의 법적 기반은 1995년에 제정된 국민건강증진법이다. 국민건강증진법은 국민들이 건강에 대한 가치를 인식하고 책임의식을 함양하며, 올바른 건강지식을 갖고, 국민들이 건강한 생활양식을 실천할 수 있는 환경 조성을 목적으로 하고 있다. 건강증진사업은 대중을 위한 보건교육과 건강상담, 영양관리, 구강보건관리, 질병의 조기발견과 치료를 위한 건강검진, 지역사회 건강문제에 관한 조사와 연구, 담배소비 감소와 건강증진부담금 부과를 통한 국민건강상태의 향상을 위한 사업이다. 훈련과정으로는 보건복지부에서 2005년부터 수행하고 있는 시와 지역을 위한 현장관리 프로그램과 서울시가 수행예정인 지역수준의 지도자 훈련과정이 있다. 건강증진사업의 원활한 진행을 위한 기금조성은 건강증진기금이 담배세로부터 조성되고 있으며 2004년 12월 31일 현재 담배 한 갑 당 500원으로 인상되어 부과되고 있다. 기금의 관리와 운용은 보건복지부가 담당하며, 기금은 건강한 생활양식형성에 대한 지원활동, 국민을 위한 보건교육과 교육자료 개발, 건강증진과 만성질환에 대한 연구, 질병의 조기발견을 위한 건강검진, 구강보건관리활동에 사용되고 있다. 향후 건강증진사업 투자계획은 1단계 (98-02년)에는 사업기반조성기, 2단계(03-06년) 보건소사업발전기, 3단계(07-11년)통합사업정착기로 구성되고 2단계의 인프라구축에 사용될 투자 비율은 30%에서 3단계에 15%로 감소될 예정이며, 사업실행 영역은 50%에서 65%로 확대될 계획이다. 2005년 건강증진사업의 중점목표는 건강증진사업의 지방 분산화, 건강증진사업의 근거마련, 사회적 형평성의 달성에 있다. 건강증진사업의 지방분산화를 위해서는 중앙에 관리센터가 설치되어 기획과 평가, 연구와 개발, 현장관리 훈련을 담당하게 되고, 지역관리센터에서는 자치적인 보건소 중심 건강증진사업의 수행과 평가를 진행하게 된다. 건강증진사업의 근거마련을 위해서 효과가 입증된 사업에 우선순위를 두며, 기획과 평가위원회를 설치하고, 건강증진사업의 평가결과를 환류 할 수 있는 체계를 마련하는 것이다. 또한 건강증진포럼을 구성하며 현 건강조사 체계를 수정한다. 한편 형평성 제고의 측면에서는 저소득층, 노인, 장애인들과 같은 취약계층의 건강상태 향상을 위한 중앙정부와 지방자치단체의 역할을 강화하고, 지역간${\cdot}$사회적 집단 간의 건강증진사업관련 형평성을 제고한다.

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Design Methodology on the Steel-type Breakwater I.Design Procedure and Wave Pressure Estimation (철재형 이안제 설계기법 연구 I. 설계 및 파압추정 단계)

  • Kweon, Hyuck-Min;Han, Yu-Shik;Kwon, Oh-Kyun;Ko, Kyoung-Lae
    • Journal of the Korean Society of Hazard Mitigation
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    • v.11 no.3
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    • pp.209-218
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    • 2011
  • The present study proposes a new estimation relationship for the transmission rate of the steel breakwater which is expected to make up for the weakness points in existing hard solution for shore protection. The steel breakwater consists of the wave dissipator of the dual horizontal plates, the supporting columns and their foundations, and thus its respective designs should also be conducted one by one. Furthermore, the breakwater has to ensure both functions of shore protection and structure stabilization. The study produced experimental data for the stability and safety investigation of the steel breakwater. The forces acting on the steel breakwater were classified into two categories, one is vertical up and down loads for the pile resistance and the other was maximum difference of the vertical load acting on horizontally different position for the torsion. The study applied the stability force produced by the summation of maximum pressure at each point and the safety force acting on each point simultaneously. The regular wave corresponding to the significant wave was utilized for measuring wave pressure and force. The study showed the method for the proper position of submerged upper plate by considering occurrence frequency of tide level. The design process finally determined by trial and error is proposed in the present study.

Adversarial Learning-Based Image Correction Methodology for Deep Learning Analysis of Heterogeneous Images (이질적 이미지의 딥러닝 분석을 위한 적대적 학습기반 이미지 보정 방법론)

  • Kim, Junwoo;Kim, Namgyu
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.11
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    • pp.457-464
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    • 2021
  • The advent of the big data era has enabled the rapid development of deep learning that learns rules by itself from data. In particular, the performance of CNN algorithms has reached the level of self-adjusting the source data itself. However, the existing image processing method only deals with the image data itself, and does not sufficiently consider the heterogeneous environment in which the image is generated. Images generated in a heterogeneous environment may have the same information, but their features may be expressed differently depending on the photographing environment. This means that not only the different environmental information of each image but also the same information are represented by different features, which may degrade the performance of the image analysis model. Therefore, in this paper, we propose a method to improve the performance of the image color constancy model based on Adversarial Learning that uses image data generated in a heterogeneous environment simultaneously. Specifically, the proposed methodology operates with the interaction of the 'Domain Discriminator' that predicts the environment in which the image was taken and the 'Illumination Estimator' that predicts the lighting value. As a result of conducting an experiment on 7,022 images taken in heterogeneous environments to evaluate the performance of the proposed methodology, the proposed methodology showed superior performance in terms of Angular Error compared to the existing methods.