• Korean Journal of Remote Sensing
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• v.23 no.5
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• pp.365-373
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• 2007

Car navigation system is a key application in geographic information system and telematics. A recent trend of car navigation system is using real video captured by camera equipped on the vehicle, because video has more representation power about real world than conventional map. In this paper, we suggest a visual car navigation system that visually represents route guidance. It can improve drivers' understanding about real world by capturing real-time video and displaying navigation information overlaid directly on the video. The system integrates real-time data acquisition, conventional route finding and guidance, computer vision, and augmented reality display. We also designed visual navigation controller, which controls other modules and dynamically determines visual representation methods of navigation information according to current location and driving circumstances. We briefly show implementation of the system.

• Journal of the Semiconductor & Display Technology
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• v.20 no.1
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• pp.94-98
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• 2021

As the world's population grows, the food industry becomes increasingly important. Among them, agriculture is an industry that produces stocks of people all over the world, which is very important food industry. Despite the growing importance of agriculture, however, a large number of crops are lost every year due to pests and malnutrition. So, we propose a plant anomaly detection system for managing crops incorporating deep learning and drones with various possibilities. In this paper, we develop a system that analyzes images taken by drones and GPS of the drone's movement path and visually displays them on a map. Our system detects plant anomalies with 97% accuracy. The system is expected to enable efficient crop management at low cost.

• The Journal of Korea Robotics Society
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• v.19 no.2
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• pp.188-195
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• 2024

This paper proposes a photorealistic real-time dense 3D mapping system that utilizes a neural network-based image enhancement method and mesh-based map representation. Due to the characteristics of the underwater environment, where problems such as hazing and low contrast occur, it is hard to apply conventional simultaneous localization and mapping (SLAM) methods. At the same time, the behavior of Autonomous Underwater Vehicle (AUV) is computationally constrained. In this paper, we utilize a neural network-based image enhancement method to improve pose estimation and mapping quality and apply a sliding window-based mesh expansion method to enable lightweight, fast, and photorealistic mapping. To validate our results, we utilize real-world and indoor synthetic datasets. We performed qualitative validation with the real-world dataset and quantitative validation by modeling images from the indoor synthetic dataset as underwater scenes.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.10a
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• pp.251-256
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• 2003

Conventional 2D GIS has many difficulties to visualize and analyze three dimensional real world. To improve those problems and implement realistic spatial analysis, Interest in 3D GIS is increasing remarkably. Currently, Some local governments are carrying out pilot projects for 3D GIS, Government also is setting up the master plan and the road map for national information construction. In this study, introducing 3D GIS to urban planning, we evaluated limits of conventional regulation and proposed effective and reasonable means lot restricting location of merrymaking place in local government.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.147.1-147
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• 2001

Future robots, especially service and personal robots, will need much more intelligence, robustness and user-friendliness. The ability to learn contributes to these characteristics and is, therefore, becoming more and more important. Three of the numerous varieties of learning are discussed together with results of real-world experiments with three autonomous robots: (1) the acquisition of map knowledge by a mobile robot, allowing it to navigate in a network of corridors, (2) the acquisition of motion control knowledge by a calibration-free manipulator, allowing it to gain task-related experience and improve its manipulation skills while it is working, and (3) the ability to learn how to perform service tasks ...

• Proceedings of the Korea Society of Costume Conference
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• 2003.10a
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• pp.80-80
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• 2003

The velocity of change of the world in its speed and scale are very rapid. The new terms like "nano" and "genom map" and etc are continuously generated. The current main themes are focused on the society in change, the information-oriented society. To do it, it is very interesting to consider to view the diverseness of cultures in the western society. Especially this study reconsindered the historical background of the hippy's hairstyles and their influence on the current hairstyles. current hairstyles.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.1-6
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• 1992

An autonomous mobile robot has been developed which can follow a travel map drawn on a monitor screen using a software. The robot works as an exhbition guide making announcement regrading the events to take place or introducing the products on display. This mobile robot computes the world position and heading direction through camera image, ultrasonic and infrared sensors in real time using specially designed algorithm. This mobile robot will be exhibited at '93 Tae-Jeon EXPO for an exhibition guide, and will be used in a plant or a hospital for materials handling purposes.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.130-136
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• 1999

The management method of the irrigation facilities are different with management agency , type, user, purpose of use, and the accuracy of data applied for the grasp of present situation and maintenance is of a low grade. Therefore the information management system is needed to classify and systematize the data. The purpose of this study is to prepare the digital map of Chonbuk FLIA district, to construct the database of the irrigation facilities , to develop the information system for the management using World Wide Web, to supply and be able to use easily to whomever needs it.

• Journal of Leisure Studies
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• v.6 no.3
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• pp.39-56
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• 2009

With the main player of international competition being changed from country to region/city, city competitiveness is emerging as driving forces of industrial and national competitiveness and organizations formed on a city level are regarded as the main unit of competition among nations. This paper's goal is to research upon the city competitiveness with an emphasis on the analytical tool applying IPS Model of city competitiveness to 75 Korean cities and to map out the strategies to enhance the Chuncheon city's competitiveness based on the results of the evaluation on Chuncheon city's current and future competitiveness with focus on the impact of the city's hosting World Leisure Congress and World Leisure Games in 2010. By discussing city's future competitiveness as well as its current strength at the same time, the more comprehensive perspective required in reinforcing city competitiveness is proposed in this paper and issues related to a city's context and policy can be evaluated and their solutions can be sought after. The study can also contribute to the establishment of city's development policies and detect sustainable growth power for individual cities.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.545-553
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• 2015

While all of the data has a value in itself, most of the data that is collected in the real world is a random and unstructured. In order to extract useful information from the data, it is need to use the data transform and analysis algorithms. Data mining is used for this purpose. Today, there is not only need for a variety of data mining techniques to analyze the data but also need for a computational requirements and rapid analysis time for huge volume of data. The method commonly used to store huge volume of data is to use the hadoop. A method for analyzing data in hadoop is to use the MapReduce framework. In this paper, we developed a tournament-based MapReduce method for high efficiency in developing an algorithm on a single machine to the MapReduce framework. This proposed method can apply many analysis algorithms and we showed the usefulness of proposed tournament based method to apply frequently used data mining algorithms k-means and k-nearest neighbor classification.