• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.182-184
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• 2000

There are several facilities in Kochang distribution test center such as artificial fault generator(AFG), new distribution automation system(NDAS), communication networks (wireless and optic), lumped constant circuit, switches for distribution automation, overhead and underground distribution line. We have been field testing on remote control, data acquisition. remote metering, feeder automation and so on for distribution automation using those equipment.

• Proceedings of the ESK Conference
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• 1993.10a
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• pp.252-262
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• 1993

The subject on office automation is gradually gaining more improtance due to the fact that the efficiency of office systems contribute to the increase of productivity as much as manufactoring systems themselves. For successful implementation of office automation, one must carefully plan and execute various steps such as the analysis of office tasks, personnel training, workplace design, equipment design, and so on. The previous studies related to the subject has not been concrete enough to be practically helpful for the actual realization of office automation. In this paper, a new analysis method of the office task is proposed. This analysis method is based on the Rasmussen's and Bennette's methods. The Rasmussen's method describes a way of quantifying mental workload while the Bennette's method provides a tool for the analysis of the office task. The posner's and Rouse's methods are also employed for the detailed division of tasks. The method proposed in this paper is believed to be easier for use and expected to be more helpful for us to cope with the clear definition of office tasks that is vital to successful implementation of office automation.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.2
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• pp.79-85
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• 2020

IIoT stands for Industrial Internet of Things used in manufacturing, healthcare, and transportation in networked smart factories. Recently, IIoT's environment requires an automated control system through intelligent cognition to improve efficiency. In particular, IIoT can be applied to automatic calibration of production equipment for improved management in industrial environments. Such automation systems require a wireless network for transmitting industrial data. Self-calibration systems in laser transmission paths using wireless networks can save resources and improve production quality by real-time monitoring and remote control of laser transmission path. In this paper, we propose a wireless networked system for self-calibration of laser equipment that requires a laser transmission path, and we show the results of the prototype evaluation. The self-calibration system of laser equipment measures the coordinates of the laser points with sensors and sends them to the host using the proposed application protocol. We propose a wireless network service for the wired motor controller to align the laser coordinates. Using this wireless network, the host controls the motor by sending a control command of the motor controller in an HTTP message based on the received coordinate values. Finally, we build a prototype system of the proposed design to verify the detection performance and analyze the network performance.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.59 no.1
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• pp.35-39
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• 2010

The IT project for power plants initiated domestically in 2005 necessitates the power equipment facility and the controllers for those to be sufficiently adaptable for automation system for power substations. This implies that the power plants using power equipments must be developed to satisfy the IEC61850 standards. The IEC61850 communication standards that all power equipment and facility and controllers installed in automation system for power substations must follow has had its Parts 3 and Part 4 established as international standard in January 2002 and Part 10 in May 2005, the last to become international standard. Hence all separate parts of the original IEC61850 standard came to be established as international standards. As a consequence, after 2005, in most power substations around the world the IEC61850 standard is being applied and the prominent makers are geared towards manufacturing products to the IEC61850 standard. The IEC61850 is being recognized as an essential standard that must be applied to not only power substations but for automation of power systems and communication systems. In this research, the Gateway device that connects current SCADA system and IEC61580 based system has been domesticated with Korea‘s own technology and extensive testing was carried out in order to obtain confidence in its performance.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.12
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• pp.118-123
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• 2015

The study of input and output characteristics in dynamic motion control is important indicator of the performance of mechanical equipment and is the factors to be considered during commissioning and maintenance of machinery or equipment, and project planning. The Analysis on dynamical characteristic of the input/output of the automation solution that used for motion control in machinery, is represented the control performance of device and including controller which connected at automation network by considering period of the frequency as applied load. This paper was constructed the simulator of B & R Powerlink to be widely used for motion control in the machine and showed the dynamic system characteristics by analysing the period.

• Journal of the Korea Safety Management & Science
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• v.22 no.1
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• pp.15-21
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• 2020

Industrial Motors diagnostic equipment is highly dependent on the automation system, so if there are defects in the automation equipment, it can only rely on the operator's intuitive judgment.To help with intuitive judgment, Park's Vactor Approach(PVA) represents the current signal as a pattern of circles, so it can tell if a fault occurs when the circle is distorted. However, the failure to judge the degree of distortion of the circle pattern is the basis of the fault, so it will face difficulties. In this paper, in order to compare the faults of PVA, the period of d-axis current of PVA pulsation was mastered, so that two phase differences occurred in the same signal source. Through experiments, it is confirmed that this is a 90 degree cross formation of PVA, which is convenient for judging from the vision that there is no fault, thus helping the operator to make intuitive judgment.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1008-1014
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• 2020

Aiming at the defect detection quality of denim fabric, this paper designs an improved algorithm based on the optimized Gabor filter. Firstly, we propose an improved defect detection algorithm of jean fabric based on the maximum two-dimensional image entropy and the loss evaluation function. Secondly, 24 Gabor filter banks with 4 scales and 6 directions are created and the optimal filter is selected from the filter banks by the one-dimensional image entropy algorithm and the two-dimensional image entropy algorithm respectively. Thirdly, these two optimized Gabor filters are compared to realize the common defect detection of denim fabric, such as normal texture, miss of weft, hole and oil stain. The results show that the improved algorithm has better detection effect on common defects of denim fabrics and the average detection rate is more than 91.25%.

• KNOM Review
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• v.23 no.1
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• pp.18-25
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• 2020

Recently, a research on a smart factory was developed from a concept of factory automation(FA) to the formation of collecting and analyzing data. This trend is accelerated as the development of communication technology(5G) and IoT devices are developed in various ways according to the field situation. In addition, digital transformation has been actively conducted in the strengthening corporate competitiveness, and various optimization studies are being conducted through process re-adjustment by combining data received from various IoT equipment and automated facilities. Therefore, in this paper, we propose a system architecture and its related components in diagnosing and repairing facility failure using a prediction system which is one of the related researches.

• Journal of Sensor Science and Technology
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• v.26 no.2
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• pp.128-134
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• 2017

Until now, neuropsychological tests can diagnose the brain dysfunction, however, cannot distinguish the objective data of experiment enough to distinguish the relationships between brain dysfunction and cerebropathia. In this paper, an automatic cognitive test equipment system with 6-axis motion sensors was proposed for the automation of neuropsychological tests. Fist-Edge-Palm(FEP) test and Go-no go test were used to evaluate motor programming of frontal lobe. The motion data from the specially designed motion glove are transmitted wirelessly to a computer to detect the gestures automatically. The healthy 20 and 11 persons are investigated for the FEP and Go-No go test, respectively. The recognition rates of gestures of FEP and Go-No go test are min. 91.38% and 89.09%. In conclusion, the automations of cognitive tests are successful to diagnose the brain diagnostics quantitatively.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2000.11a
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• pp.227-234
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• 2000

AGV is very proper equipment for Port Automation. AGV must have Obstacle Detection System(ODS) for port automation. Obstacle Detection System must have some functions. It must be able to classify some specified object from background data. And it must be able to track classified objects. Finally, ODS must determine its next action for safe cruise whether it must do emergency stop or it must speed down or it must change its track. For these functions, ODS can have many different structures. In this paper, we will propose one structure among some possible ones. Our ODS has been being developed using proposed structure since last year. In this paper, we will introduce our system which is under construction.