• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.3
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• pp.70-80
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• 2001

It is necessary to construct an effective regional information system in facing the incoming information intensive society. Many local government in Korea began to recognize a need for constructing a GIS(Geographic Information System) and they are planning to construct GIS´s to improve their administrative efficiency. However, ti requires high-priced hardware, software, and an experienced operator to sue a GIS effectively. The purpose of this study is to develop the GIS program which can be sued with ease by common users. By developing a GIS functioned program using a coordinate recognition module by application of geo-spatial data, and a digital map which is already made, this program can be used efficiently only by only inputting attributes without high-priced hardware and software, and can be utilized easily to every purposes of work with geo-spatial data and attributes. MapObjects, mapping and GIS component, was employed to use geo-spatial data, and Access 97 from Microsoft to manage and attributes database. Visual Basic, objected-oriented language, was used to develop an application program. Results of this study were applied to constructing the Information system of Kanwon National University. This program could be used for various purposed by common users without additional hardware and software.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.1923-1932
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• 2008

In this paper, We suggest a method, which extract the 3-Dimension location coordinate of object, stat and coil, using Laser sensor. In order to extract the 3-Dimension location coordinate of object, First, we extract the edge of object. Second, extract the z-axis angle of Laser sensor. Third, extract the 2-Dimension location coordinate of object using edge of object and z-axis of Laser senor. Fourth, discriminate between Slat and Coil. The result of study is expected that the help which is considerable to the automation system development of unmanned transportation equipment will become.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.1
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• pp.197-205
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• 2006

This paper presents the moving object tracking method using vision system. In order to track object in real time, the image of moving object have to be located the origin of the image coordinate axes. Accordingly, Fuzzy Control System is investigated for tracking the moving object, which control the camera module with Pan/Tilt mechanism. Hereafter, so the this system is applied to mobile robot, we design and implement image processing board for vision system. Also fuzzy controller is implemented to the StrongArm board. Finally, the proposed fuzzy controller is useful for the real-time moving object tracking system by experiment.

• Journal of Broadcast Engineering
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• v.18 no.3
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• pp.380-392
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• 2013

A method to classify a golf swing motion into 7 sections using a Kinect sensor and a fuzzy system is proposed. The inputs to the fuzzy logic are the positions of golf club and its head, which are extracted from the information of golfer's joint position and color information obtained by a Kinect sensor. The proposed method consists of three modules: one for extracting the joint's information, another for detecting and tracking of a golf club, and the other for classifying golf swing motions. The first module extracts the hand's position among the joint information provided by a Kinect sensor. The second module detects the golf club as well as its head with the Hough line transform based on the hand's coordinate. Using a fuzzy logic as a classification engine reduces recognition errors and, consequently, improves the performance of robust classification. From the experiments of real-time video clips, the proposed method shows the reliability of classification by 85.2%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.141-143
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• 2022

This paper presented a new technology to identify traffic violations of motorbike riders by detecting the traffic signal using You Only Look Once (YOLO) object detection. The hardware module that is mounted on the front of the motorbike consists of Raspberry Pi with a camera to run the YOLO object detection, a GPS module to acquire the motorcycle's coordinate, and a LoRa communication module to send the data to a cloud DB. The main goal of the software is to determine whether a motorbike has violated a traffic signal. This paper proposes a function to recognize the red traffic signal colour with its movement inside the camera angle and determine that the traffic signal violation happens if the traffic signal is moving to the right direction (the rider turns left) or moving to the top direction (the riders goes straight). Furthermore, if a motorbike rider is violated the signal, the rider's personal information (name, mobile phone number, etc), the snapshot of the violation situation, rider's location, and date/time will be sent to a cloud DB. The violation information will be delivered to the driver's smartphone as a push notification and the local police station to be used for issuing violation tickets, which is expected to prevent motorbike riders from violating traffic signals.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.557-564
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• 2014

In this study, we present an algorithm that conducts an unique naming process for the bridge object through the solid object identification focused on 3D straight bridge model. For the recognition of 3D objects, the numerical algorithm utilizes centroid point, and solid object on the local coordination system. It classifies the object feature set by classifying the objects and members based on the bridge direction. By doing so, unique names, which contain the information about span, members and order of the object, were determined and the suitability of this naming algorithm was examined through a truss bridge model and a bridge model with different coordinate systems. Also, the naming process based on the object feature set was carried out for the real 3D bridge model and then was applied to the module on local server and mobile device for real bridge inspection work. From the comparison of the developed naming algorithm based on object identification and the conventional one based on field inspection, it was shown that the conventional field inspection work can be effectively improved.