• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.8
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• pp.30-35
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• 2006

Voltage is generally and exactly measured in the electric and electronic field. So, we studied method for detecting electric equipment faulty state using only electric voltage. It is called the Partition-FFT. Tracking is simulated by method and tester proceed on IEC 60112. We analyze voltage waveforms by tracking tester with Partition-FFT. As the result tracking process is clearly distinguished by 6 steps. Tracking is one of the major reason of electric accidents. The Partition-FFT is using a digital oscilloscope and a computer software. If Partition-FFT analysis is applied to the electricity facilities, We can prevent from happenning electric accidents cause of tacking breakdown with low prices and easy measurment. Most of all, Partition-FFT is system that make a visual tacking process. So, everyone is able to detect to possibility of electric accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.330-335
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• 2017

This study applied SONAR(Sound Navigation And Ranging) to the inspection and evaluation of underwater structures. Anactual river bridge was chosen for inspection and evaluation. SONAR and an optical camera were operated together to analyze the underwater image of the bridge. SONAR images were obtained by various methods to remove the environmental variables from the field experiment, and it was confirmed that the reliability of detecting damaged areas on piers was decreased when using SONAR alone. The SONAR equipment and the optical camera can be used simultaneously to overcome the limitations of SONAR in inspecting underwater structures.These results can be used as basic data for the development of similar technologies for underwater structure inspection.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.9-14
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• 2018

The vision system is a device for acquiring images and analyzing and discriminating inspection areas. Demand for use in the automation process has increased, and the introduction of a vision-based inspection system has emerged as a very important issue. These vision systems are used for everyday life and used as inspection equipment in production processes. Image processing technology is actively being studied. However, there is little research on the area definition for extracting objects such as character recognition or semiconductor packages. In this paper, define a region of interest and perform edge extraction to prevent the user from judging noise as an edge. We propose a noise-robust alignment correction model that can extract the edge of a region to be inspected using the distribution of edges in a specific region even if noise exists in the image. Through the proposed model, it is expected that the product production efficiency will be improved if it is applied to production field such as character recognition of tire or inspection of semiconductor packages.

• Smart Media Journal
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• v.10 no.3
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• pp.23-30
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• 2021

Although the manufacturing time series data clustering technique is an important grouping solution in the field of detecting and improving manufacturing large data-based equipment and process defects, it has a disadvantage of low accuracy when applying the existing static data target clustering technique to time series data. In this paper, an evolutionary computation-based time series cluster analysis approach is presented to improve the coherence of existing clustering techniques. To this end, first, the image shape resulting from the manufacturing process is converted into one-dimensional time series data using linear scanning, and the optimal sub-clusters for hierarchical cluster analysis and split cluster analysis are derived based on the Pearson distance metric as the target of the transformation data. Finally, by using a genetic algorithm, an optimal cluster combination with minimal similarity is derived for the two cluster analysis results. And the performance superiority of the proposed clustering is verified by comparing the performance with the existing clustering technique for the actual manufacturing process image.

• The Plant Pathology Journal
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• v.38 no.6
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• pp.665-672
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• 2022

Cymbidium mosaic virus (CymMV) is one of economically important viruses that cause significant losses of orchids in the world. In the present study, a reverse transcription recombinase polymerase amplification (RT-RPA) assay combined with a lateral flow immunostrip (LFI) assay was developed for the detection of CymMV in orchid plants. A pair of primers containing fluorescent probes at each terminus that amplifies highly specifically a part of the coat protein gene of CymMV was determined for RT-RPA assay. The RT-RPA assay involved incubation at an isothermal temperature (39℃) and could be performed rapidly within 30 min. In addition, no cross-reactivity was observed to occur with odontoglossum ringspot virus and cymbidium chlorotic mosaic virus. The RT-RPA with LFI assay (RT-RPA-LFI) for CymMV showed 100 times more sensitivity than conventional reverse transcription polymerase chain reaction (RT-PCR). Furthermore, the RT-PCR-LFI assay demonstrated the simplicity and the rapidity of CymMV detection since the assay did not require any equipment, by comparing results with those of conventional RT-PCR. On-site application of the RT-RPA-LFI assay was validated for the detection of CymMV in field-collected orchids, indicating a simple, rapid, sensitive, and reliable method for detecting CymMV in orchids.

• Journal of radiological science and technology
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• v.45 no.3
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• pp.233-239
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• 2022

In the radiology department, where radiation is used in medical institutions to perform examinations with various equipment, the field of surgical treatment is the intervention angiography room. Accordingly, strict infection control is required. The purpose of this study was to determine the contamination status by detecting pathogens before and after disinfection in the intervention angiography room, and to determine the degree of death by using a disinfectant, sodium dichloride isocyanurate, which is mainly used in the intervention angiography room. The subjects were 10 medical institutions of general hospital level or higher with an intervention angiography room in the P city, and 12 places with high contact frequency during examinations and procedures were sampled and requested to an analysis institution. As for the sample collection method, up/down, left/right directions were used to increase precision. Before disinfection, all procedures were completed, and after disinfection, exposure was performed using a disinfectant for at least 10 minutes, and detection was performed using a transport medium. As a result, in the pathogen analysis, most pathogens were detected in a humid environment or in a place with high contact frequency for microorganisms to thrive. The detected pathogens were found in the general environment or were human flora. It is a pathogen that does not cause disease under normal healthy host conditions. However, it was found to be an opportunistic infection that causes opportunistic infection depending on the case or situation in which the body's resistance is weakened. In addition, as a result of using the disinfectant mainly used in the intervention angiography room, it was found that more than 93.3% of them died. Therefore, the data of this study will be used as good basic data for the evaluation of pathogens in the intervention angiography room and will be of great help in infection control.

• Journal of Life Science
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• v.26 no.5
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• pp.620-631
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• 2016

Viroids are about 250-400 base pair of short single strand RNA fragments have been associated with economically important plant diseases. Due to the lack of protein expression capacity associated with replication, it is very difficult to diagnosis viroid diseases in serological methods. For detecting viroid at plants, molecular-based techniques such as agarose gel electrophoresis, polyacrylamide gel electrophoresis (PAGE), DNA-hybridization, blotting analysis and conventional RT-PCR are reliable. Real-time RT-PCR methods that grafted on RT-PCR methods with improved confirmation methods have been also utilized. However, they are still labor-intensive, time-consuming, and require personnel with expertise. Loop-mediated Isothermal Amplification (LAMP) method is a nucleic acid amplification method under the isothermal condition. The LAMP methodology has been reported to be simple, rapid, sensitive and field applicable in detecting a variety of pathogens. The results of LAMP method can be colorized by adding a visible material such as SYBR green I, Evagreen, Calcein, Berberine and Hydroxy naphthol blue (HNB) with simple equipment or naked eyes. The combination of LAMP method and nucleic pathogens, viroids, can be used to realize simple diagnosis platform for the genetic point-of care testing system. The aim at this review is to summary viroid-caused diseases and the simple visible approach for diagnosing viroids using Loop-mediated Isothermal Amplification (LAMP) method.

• Journal of Satellite, Information and Communications
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• v.7 no.3
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• pp.16-21
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• 2012

Recently, an importance of culture industry has been emphasized through an increased income level, spare time and changed values of modern people. And demands of the performance, arts, exhibit are steadily being increased. However the stage equipment depends on foreign manufactures on account of the inactive domestic technical skills. Especially in the lighting direction part, it is essential to control the lighting source and detect the moving line of actors but it generally uses the manual control type and realization of actor's moving line regardless of existing IT-based technologies. Also the system operation of existing sensor-based tracking and detecting technologies depends on the main lighting source of the stage. Therefore, this paper proposed LED lighting control system using the variable FOV and multi sensor-based tracking algorithm, which are possible to efficiently track the stage actors and direct the stage lights. Also we demonstrated the practicality and possibility of realization through the integrated experiment of the proposed system and implementation of the salient hardware, software. Additionally, the usefulness of proposed system was demonstrated using performance simulations and actual measurements of implemented sensor output.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.1
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• pp.35-45
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• 2009

In an open environment such as Home Network, ZigBee Cluster comprising a plurality of Ato-cells is required to provide intense security over the movement of collected, measured data. Against this setting, various security issues are currently under discussion concerning master key control policies, Access Control List (ACL), and device sources, which all involve authentication between ZigBee devices. A variety of authentication methods including Hash Chain Method, token-key method, and public key infrastructure, have been previously studied, and some of them have been reflected in standard methods. In this context, this paper aims to explore whether a new method for searching for neighboring devices in order to detect device replications and Sybil attacks can be applied and extended to the field of security. The neighbor detection applied method is a method of authentication in which ACL information of new devices and that of neighbor devices are included and compared, using information on peripheral devices. Accordingly, this new method is designed to implement detection of malicious device attacks such as Sybil attacks and device replications as well as prevention of hacking. In addition, in reference to ITU-T SG17 and ZigBee Pro, the home network equipment, configured to classify the labels and rules into four categories including user's access rights, time, date, and day, is implemented. In closing, the results demonstrates that the proposed method performs significantly well compared to other existing methods in detecting malicious devices in terms of success rate and time taken.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.12
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• pp.99-108
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• 2015

The embedded microcontroller which is operated by the logic gates synchronized on the clock pulse, is gradually used as main controller of mission-critical systems. Severe electrical situations such as high voltage/frequency surge may cause malfunctioning of the clock source. The tolerant system operation is required against the various external electric noise and means the robust design technique is becoming more important issue in system clock failure problems. In this paper, we propose on-chip backup clock change architecture for the automatic clock failure detection. For the this, we adopt the edge detector, noise canceller logic and glitch-free clock changer circuit. The implemented edge detector unit detects the abnormal low-frequency of the clock source and the delay chain circuit of the clock pulse by the noise canceller can cancel out the glitch clock. The externally invalid clock source by detecting the emergency status will be switched to back-up clock source by glitch-free clock changer circuit. The proposed circuits are evaluated by Verilog simulation and the fabricated IC is validated by using test equipment electrical field radiation noise