• Journal of Institute of Control, Robotics and Systems
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• v.16 no.1
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• pp.40-47
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• 2010

This paper presents a simultaneous localization and mapping (SLAM) of an indoor hallway environment using Rao-Blackwellized particle filter (RBPF) along with a line segment as a landmark. Based on the fact that fluent line features can be extracted around the ceiling and side walls of hallway using vision sensor, a horizontal line segment is extracted from an edge image using Hough transform and is also tracked continuously by an optical flow method. A successive observation of a line segment gives initial state of the line in 3D space. For data association, registered feature and observed feature are matched in image space through a degree of overlap, an orientation of line, and a distance between two lines. Experiments show that a compact environmental map can be constructed with small number of horizontal line features in real-time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.8
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• pp.936-942
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• 2019

Autonomous driving of drone indoor must move along a narrow path and overcome other factors such as lighting, topographic characteristics, obstacles. In addition, it is difficult to operate the drone in the hallway because of insufficient texture and the lack of its diversity comparing with the complicated environment. In this paper, we study an autonomous drone navigation using Convolution Neural Network(CNN) in indoor environment. The proposed method receives an image from the front camera of the drone and then steers the drone by predicting the next path based on the image. As a result of a total of 38 autonomous drone navigation tests, it was confirmed that a drone was successfully navigating in the indoor environment by the proposed method without hitting the walls or doors in the hallway.

• Korean Institute of Interior Design Journal
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• v.21 no.5
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• pp.46-56
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• 2012

Though Korea and China have a lot of things in common, these two countries have developed different housing style. However, after modernization, apartments have become major housing style in both Korea and China. So this research analyzed 240 apartment plans which was build in Seoul and Beijing in 2000s and 2010s to predict the future trends for apartments. The results are as follows: The opening direction of the front door will be outwards as the hallway space of small apartments in China become wider as the living standards is increasing. Because of the floor sitting lifestyle, Koreans end outdoor activities when take off their shoes at the entrance hall and continue for indoor activities, they separate entrance hall from livingroom. However, because Chinese have chair sitting lifestyle, entrance hall and livingroom is not divided. Korean apartment shows a trend which connects livingroom, diningroom and kitchen altogether; however, Chinese apartment shows a trend which separates kitchen from livingroom and diningroom. Bedrooms are showing a trend of distributed layout. Master bedroom are showing a trend which includes separate bathroom or attached room as the size of apartment increases and so on.

• Solar Energy
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• v.12 no.1
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• pp.3-14
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• 1992

The conventional school building design, which locates the hallway on the north side of the classroom, has proven to be very ineffective for indoor light control. Especially, glares and dark spots on the work plane as well as nonuniform illuminance on the chalkboard were causing undesirable visual effects for the students. The present study has investigated various problems with the classroom in the existing elementary and(junior) high school buildings from the point of indoor visual environment, and made some suggesions for possible solutions.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.4
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• pp.11-18
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• 2021

We propose a method that combines learning in a virtual environment and a real environment for indoor autonomous driving through reinforcement learning. In case of learning only in the real environment, it takes about 80 hours, but in case of learning in both the real and virtual environments, it takes 40 hours. There is an advantage in that it is possible to obtain optimized parameters through various experiments through fast learning while learning in a virtual environment and a real environment in parallel. After configuring a virtual environment using indoor hallway images, prior learning was carried out on the desktop, and learning in the real environment was conducted by connecting various sensors based on Jetson Xavier. In addition, in order to solve the accuracy problem according to the repeated texture of the indoor corridor environment, it was possible to determine the corridor wall object and increase the accuracy by learning the feature point detection that emphasizes the lower line of the corridor wall. As the learning progresses, the experimental vehicle drives based on the center of the corridor in an indoor corridor environment and moves through an average of 70 steering commands.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.7
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• pp.1261-1267
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• 2007

Although LEDs have been used in various applications with improving the brightness and luminous efficacy, the electrical and optical characteristics of high power LED varies at different temperature and starting time. In this paper, optimal heat sink and apparatus design were conducted using IR camera and ICEPAK on the LED bulb consisting with fourteen LED array. The temperatures of heat sink and LED device of the designed LED bulb without cooling pan were $74^{\circ}C\;and\;96.8^{\circ}C$, respectively, showing in good themal characteristics. For high efficiency driving circuit of LED array adopted optimal heat sink design, driving circuits of constant voltage and current circuits were suggested and fabricated. As a result the efficacy of all driving circuits showed more than 20 lm/W. Also, the constant current circuits are suitable for signal lamp, hallway lamp, and flash lamp having short operating time(about 30 min). On the other hand, a reading light and indoor lamp having long operating time can be controlled by constant voltage circuit.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.91-92
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• 2011

본 논문에서는 옥내 LED 조명에 대하여 마이크로웨이브센서 기반의 조명 제어에 관한 연구이다. 실내에 설치된 LED 조명제어는 마이크로웨이브센서를 이용하여 옥내 사람의 움직임을 인식하고, 계측된 센서값을 이용하여 조명의 온·오프 및 dimming 제어를 수행하였다. 또한, 실내 환경 데이터를 계측하여 현재의 환경에 적합하도록 LED 조명을 제어하여 사람의 감성에 적합한 감성제어를 제시하고자 한다.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.2
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• pp.228-236
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• 1999

In this paper, we propose visual-based self-localization and obstacle detection algorithms for indoor mobile robots. The algorithms do not require calibration, and can be worked with only single image by using the projective invariant relationship between natural landmarks. We predefine a risk zone without obstacles for a robot, and update the image of the risk zone, which will be used to detect obstacles inside the zone by comparing the averaging image with the current image of a new risk zone. The positions of the robot and the obstacles are determined by relative positioning. The method does not require the prior information for positioning robot. The robustness and feasibility of our algorithms have been demonstrated through experiments in hallway environments.

• Solar Energy
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• v.9 no.1
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• pp.36-42
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• 1989

Following the oil crisis in 1979, there have been surge of movements by the government in Korea to conserve petroleum-based energy in every sector of society. One of these movements was the application of passive solar technologies into the construction of school buildings. Various passive designs are developed paying special regard to architectural and climatic factors. This paper is related to the application of the passive solar technology to elementary school buildings. It is proposed to place the hallway on the south side of the building to improve the thermal performance as well as indoor lighting effects. The cases have been compared with those of the existing school buildings where substantial improvements are noted. Finally, standard drawings are prepared in detail to promote the application of this passive solar technology in practical school building.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.4
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• pp.298-306
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• 2013

Recent years have witnessed a growing interest in the fields of video surveillance and mobile object tracking. This paper proposes a mobile object tracking algorithm. First, several parameters such as object window, object area, and expansion-contraction (E-C) parameter are defined. Then, a modified E-C algorithm for multiple-object tracking is presented. The proposed algorithm tracks moving objects by expansion and contraction of the object window. In addition, it includes methods for updating the background image and avoiding occlusion of the target image. The validity of the proposed algorithm is verified experimentally. For example, the first scenario traces the path of two people walking in opposite directions in a hallway, whereas the second one is conducted to track three people in a group of four walkers.