• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.157-164
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• 2010

Recently, the Radio Frequency Identification(RFID) system has been growing with many promising features in technology and applications fields. Especially, a lot of efforts for the application of RFID system in the field of logistics management have been conducted. In addition, in logistics section of steel industry a remarkable efficiency can be attained by application of the RFID system. However, in the RFID system applied for the steel industry, lots of problems were found to be solved in recognition of the tags and antennas. This paper presents the feasibility of deploying RFID in the steel industry as a tool for reduction of the production cost. An application of the steel industry to RFID-based tracking management system was proposed. The results of this paper showed that the recognition rate of material input and output was found 100 percent and secured 99 percent of detection rate in the location. In conclusion, the proposed RFID-based tracking management system was approved superior to the existing system in terms of productivity.

• Journal of Information Technology Applications and Management
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• v.13 no.3
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• pp.59-74
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• 2006

According to developing Wireless Communication, not only a location based service at the outside but also a location based service at the inside was more increased socially. This paper proposes the efficient algorithm to locate a transfer object in frequent change of indoor environment using indoor location tracking system we develop ourself. Proposing algorithm in this paper can locate a transfer object using the Fingerprint, one of the Location Tracking techniques which are used in general to minimize error data between Location Tracking System and Fingerprint, using this way that corrects location data as KF apply to result data can improve accuracy of a transfer object. At last we are going to compare and analyze existing typical triangulation with proposed Indoor location tracking system to demonstrate algorithm efficiency for proposed Indoor location tracking system.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1008-1015
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• 2007

The primary purpose of the safety management is to prevent the loss of lives or physical damages arising from potential hazards in the railroad signaling system. Since such potential hazards may occur at any time during the system life cycle from design and development to maintenance, safety management activities have to be continuously taken in the course of the system life cycle. The identification of potential hazards is the early step of the safety management. However, such identification activities have to be continued during the system life cycle. Further, they have to be closely linked with system functions to prevent functional problems. This study provides a systematic approach to identification of potential hazards for their tracking and management during the system life cycle to assure the identification and definition of the most appropriate hazards.

• IE interfaces
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• v.21 no.2
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• pp.229-236
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• 2008

Recently, ubiquitous computing paradigm considers as a tool for making innovation and competitive strength in manufacturing industry like other industries. Particularly, the location-based service that enables us to trace real-time logistics make effective management of schedules for inventory control, facilities and equipments, jobs planning, and facilitate the processes of information management and intelligence, which relate with ERP and SCM in organizations. Our study tries to build the location-based system for products of semiconductors in manufacturing place and suggests the good conditions and effective tracking procedures for positions of products. Our study show that the system is good for the saving of time in tracking products, however, it has to be improved in terms of accuracy. The study verifies the application of RFID technology in manufacturing industry and suggests the improvement of photograph process through RFID. In addition, our research introduces the future operation of FAB in semiconductors' processes that relate with real-time automation and RFID in manufacturing company.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.2
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• pp.15-19
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• 2008

In this paper, we propose a new algorithm of image depth detection using motion estimation and object tracking. In industry, robots are used for automobile, conveyer system, etc. But, these have much necessary time. Thus, in this paper, we develop the efficient method of image depth detection based on motion estimation and object tracking.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.77-85
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• 2012

Most of Automatic Accident Detection Algorithm has a problem of detecting an accident as traffic congestion. Actually, center's managers deal with accidents depend on watching CCTV or accident report by drivers even though they run the Automatic Accident Detection system. It is because of the system's detecting errors such as detecting non-accidents as accidents, and it makes decreasing in the system's overall reliability. It means that Automatic Accident Detection Algorithm should not only have high detection probability but also have low false alarm probability, and it has to detect accurate accident spot. The study tries to verify and evaluate the effectiveness of using Gaussian Mixture Model and individual vehicle tracking to adapt Accident Detection Algorithm to Center Management System by measuring accident detection probability and false alarm probability's frequency in the real accident.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.167-176
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• 2009

In this paper, a system that detects driver's drowsiness has been implemented based on the automatic extraction and the tracking of pupils. The research also focuses on the compensation of illumination and reduction of background noises that naturally exist in the driving condition. The system, that is based on the principle of Haar-like feature, automatically collects data from areas of driver's face and eyes among the complex background. Then, it makes decision of driver's drowsiness by using recognition of characteristics of pupils area, detection of pupils, and their movements. The implemented system has been evaluated and verified the practical uses for the prevention of driver's drowsiness.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.119-127
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• 2010

In this paper, we propose a new automatic surveillance tracking system that can extract the target from the complex background and foreground noises by using the image-based SAD algorithm and control the servo motor of cameras by using kanatani algorithm. From the experimental results the proposed stereo tracking system is found to track the target adaptively under the circumstance of complex and changing background noises and the possibility of real-time implementation of the proposed system by using the optical system is also suggested.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.250-256
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• 2009

This paper presents a robotic tower-crane system using encoder and gyroscope sensors as path tracking devices. Tower crane work is often associated with falling accidents and industrial disasters. Such problems often incur a loss of time and money for the contractor. For this reason, many studies have been done on an automatic tower crane. As a part of 5-year 23-million-dollar research project in Korea, we are developing a robotic tower crane which aims to improve the safety level and productivity. We selected a luffing tower crane, which is commonly used in urban construction projects today, as a platform for the robotic tower crane system. This system comprises two modules: the automated path planning module and the path tracking module. The automated path planning system uses the 3D Cartesian coordinates. When the robotic tower crane lifts construction material, the algorithm creates a line, which represents a lifting path, in virtual space. This algorithm seeks and generates the best route to lift construction material while avoiding known obstacles from real construction site. The path tracking system detects the location of a lifted material in terms of the 3D coordinate values using various types of sensors including adopts encoder and gyroscope sensors. We are testing various sensors as a candidate for the path tracking device. This specific study focuses on how to employ encoder and gyroscope sensors in the robotic crane These sensors measure a movement and rotary motion of the robotic tower crane. Finally, the movement of the robotic tower crane is displayed in a virtual space that synthesizes the data from two modules: the automatically planned path and the tracked paths. We are currently field-testing the feasibility of the proposed system using an actual tower crane. In the next step, the robotic tower crane will be applied to actual construction sites with a following analysis of the crane's productivity in order to ascertain its economic efficiency.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.107-112
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• 2010

Door to door service is a typical method for individual parcel deliveries. In the current delivery information system, a delivery person manually inputs the information of many delivery results, which causes inefficiency and difficulties of tracking deliveries. This study suggests an enhanced delivery information system which has the following two characteristics. Firstly, a tagged RFID(Radio Frequency Identification) transmits the delivery result information to the main server by just collecting RFID at a place of destination. Secondly, with the characteristics of rewritable method, the collected RFID is to be input new information and tagged to other parcels.