• 지능정보연구
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• 제3권2호
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• pp.23-32
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• 1997

본 논문에서는 정성적 공간 표현 방식과 물체의 운동에 대한 추론 방식에 제시되었다. 기존의 정성적 벡터 표현 방식은 각도 개념을 추가하여 확장되었으며, 이에 따라 방향의 계산을 위해 필요한 정성적 벡터 연산도 확장되었다. 또한 회전운동에 의한 각도의 변화를 분석하는 추론 방식도 기술되었다. 운동에 대한 정성적 추론의 기본 아이디어는 공간에서의 위치와 운동을 상대적인 개념으로 표현하는 것이다. 이와같이 제안된 이론은 장치의 분석에 사용되어 주어진 연동 장치의 거동을 정확히 예측 할 수 있었다.

• 스마트미디어저널
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• 제13권1호
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• pp.24-35
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• 2024

The combination of Artificial Intelligence and the Internet of Things (AIoT) has gained significant popularity. Deep neural networks (DNNs) have demonstrated remarkable success in various applications. However, deploying complex AI models on embedded boards can pose challenges due to computational limitations and model complexity. This paper presents an AIoT-based system for smart parking lots using edge devices. Our approach involves developing a detection model and a decision tree for occupancy status classification. Specifically, we utilize YOLOv5 for car license plate (LP) detection by verifying the position of the license plate within the parking space.

• 기독교교육논총
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• 제71권
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• pp.241-276
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• 2022

21세기 초반 스마트 혁명으로 시작된 4차 산업혁명으로 인해 우리 사회는 초연결(Hyper-Connectivity), 초융합(Hyper-Convergence), 초지능(Hyper-Intelligence)이 가속화되고 있다. 이런 변화는 시간과 장소라는 제한적인 공간을 물리적 공간과 가상적(디지털) 공간의 경계를 뛰어넘어 융합적인 새로운 공간으로서의 메타버스(Metaverse)를 만들어내고 있다. 메타버스는 1980년대 초반부터 1990년대 중반에 출생한 밀레니얼 세대(M Generation)와 1990년대 중반부터 2000년대 초반에 출생한 Z 세대(Z Generation)을 통칭하는 MZ세대와 맞물려 계속 확산되고 있다. 교회교육도 코로나19의 확산으로 예배로 모일 수 없을 때 메타버스를 활용한 다양한 시도가 있어고, 이를 통해 교회교육의 새로운 공동체 공간으로써 활용 가능성이 확인되었다. 그뿐만 아니라 메타버스를 교회교육에 활용하면 실제적이며, 체험할 수 있는 더욱 발전적인 교회교육 공간으로 활용될 수 있을 것이다. 그러나 교회교육이 더욱 발전하기 위해서는 공간적인 개념을 뛰어넘어 교회교육 방법의 발전이 필요하다. 특히 메타버스와 MZ세대의 공통된 특징 중에 하나인 사용자 중심성이 강조된 학습자 중심의 교육방법이 교회교육에 적용될 때에 메타버스 시대 속에 교회교육은 더욱 발전적인 방향으로 나갈 수 있을 것이다.

• International Journal of Aeronautical and Space Sciences
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• 제8권2호
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• pp.37-43
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• 2007

Coordination of multiple UAVs is an essential technology for various applications in robotics, automation, and artificial intelligence. In general, it includes 1) waypoints assignment and 2) trajectory generation. In this paper, we propose a new method for this problem. First, we modify the concept of the standard visibility graph to greatly improve the optimality of the generated trajectories and reduce the computational complexity. Second, we propose an efficient stochastic approach using simulated annealing that assigns waypoints to each UAV from the constructed visibility graph. Third, we describe a method to detect collision between two UAVs. FinallY, we suggest an efficient method of controlling the velocity of UAVs using A* algorithm in order to avoid inter-UAV collision. We present simulation results from various environments that verify the effectiveness of our approach.

• International Journal of Aeronautical and Space Sciences
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• 제8권2호
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• pp.107-120
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• 2007

Coordination of multiple UAVs is an essential technology for various applications in robotics, automation, and artificial intelligence. In general, it includes 1) waypoints assignment and 2) trajectory generation. In this paper, we propose a new method for this problem. First, we modify the concept of the standard visibility graph to greatly improve the optimality of the generated trajectories and reduce the computational complexity. Second, we propose an efficient stochastic approach using simulated annealing that assigns waypoints to each UAV from the constructed visibility graph. Third, we describe a method to detect collision between two UAVs. FinallY, we suggest an efficient method of controlling the velocity of UAVs using A* algorithm in order to avoid inter-UAV collision. We present simulation results from various environments that verify the effectiveness of our approach.

• International Journal of Aeronautical and Space Sciences
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• 제11권2호
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• pp.136-144
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• 2010

This paper presents an algorithm for planning waypoints for the operation of a surveillance mission using cooperative unmanned aerial vehicles (UAVs) in a given map. This algorithm is rather simple and intuitive; therefore, this algorithm is easily applied to actual scenarios as well as easily handled by operators. It is assumed that UAVs do not possess complete information about targets; therefore, kinematics, intelligence, and so forth of the targets are not considered when the algorithm is in operation. This assumption is reasonable since the algorithm is solely focused on a surveillance mission. Various parameters are introduced to make the algorithm flexible and adjustable. They are related to various cost functions, which is the main idea of this algorithm. These cost functions consist of certainty of map, waypoints of co-worker UAVs, their own current positions, and a level of interest. Each cost function is formed by simple and intuitive equations, and features are handled using the aforementioned parameters.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 춘계 종합학술대회 논문집
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• pp.80-83
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• 2006

본 연구는 최근 들어 유행처럼 진행되어온 u-City 개발에 대해 실제 사람들이 살아가는 물리적인 도시공간개념과 결합된 현실도시로서의 u-City 개념설정을 시도하고, 공간계획 측면에서 한국의 현실에 적합한 u-City의 개발방안에 대한 제안을 하고자 한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권4호
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• pp.314-320
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• 2006

Navigation in environments that are densely cluttered with obstacles is still a challenge for Autonomous Ground Vehicles (AGVs), especially when the configuration of obstacles is not known a priori. Reactive local navigation schemes that tightly couple the robot actions to the sensor information have proved to be effective in these environments, and because of the environmental uncertainties, STSF(Space and Time Sensor Fusion)-based fuzzy behavior systems have been proposed. Realization of autonomous behavior in mobile robots, using STSF control based on spatial data fusion, requires formulation of rules which are collectively responsible for necessary levels of intelligence. This collection of rules can be conveniently decomposed and efficiently implemented as a hierarchy of fuzzy-behaviors. This paper describes how this can be done using a behavior-based architecture. The approach is motivated by ethological models which suggest hierarchical organizations of behavior. Experimental results show that the proposed method can smoothly and effectively guide a robot through cluttered environments such as dense forests.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2005년도 춘계학술발표대회 논문집
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• pp.79-82
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• 2005

The development of industrial society brought about the highly-aged society, facilitated urbanization and nuclear families and changed conventional society and even the values. Also, development of Information Technology is represented digital technology makes general life-style of economy, society, culture and life. This paper offers there is sense to offer aged residing zero that equip amenities, safety, convenience considering enough request of aged by change of life-style. Hereupon, architecture enemy of aged residing, I wish to quote direction of unit planning of smart silver town that is intelligence style residing space that can correspond to various life-style that bring by information society by diagnosing change factor of residing space and internal and external study trend of smart groove that extract Needs of old age by change of special Quality and life-style and appears in digital environment.

• Architectural research
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• 제26권1호
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• pp.1-12
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• 2024

This study introduces a deep reinforcement learning (DRL)-based methodology for optimizing apartment space arrangements, addressing the limitations of human capability in evaluating all potential spatial configurations. Leveraging computational power, the methodology facilitates the autonomous exploration and evaluation of innovative layout options, considering architectural principles, legal standards, and client re-quirements. Through comprehensive simulation tests across various apartment types, the research demonstrates the DRL approach's effec-tiveness in generating efficient spatial arrangements that align with current design trends and meet predefined performance objectives. The comparative analysis of AI-generated layouts with those designed by professionals validates the methodology's applicability and potential in enhancing architectural design practices by offering novel, optimized spatial configuration solutions.