• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.55-64
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• 2016

The development of high-speed rail (HSR) has had a major impact on the power supply grid. Based on the monitored waveforms of HSR, a pattern recognition approach is proposed for the first time in this paper to identify the operating conditions. To reduce the data dimensions for monitored waveforms, the principal component analysis (PCA) algorithm was used to extract the characteristics and their waveforms from the monitored waveforms data. The dynamic time wrapping (DTW) algorithm was then used to identify the operating conditions of the HSR. Cases studies show that the proposed approach is effective and feasible, and that it is possible to identify the real-time operating conditions based on the monitored waveforms.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2019_2020
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• 2009

A recurrent surge oscillograph(RSO) test was performed at the Taean thermal power plant on #5 turbine generator. The test was conducted using a rotor reflectometer and digital oscilloscope. A DC voltage step is applied to each end of the rotor winding in turn. Each reflected wave, at the input end of the winding, is monitored and the two waveforms are superimposed automatically and monitored on a single channel oscilloscope. As the half windings in a rotor are identical, the two waveforms monitored at each end of the rotor will also be identical for a healthy winding. A winding with a fault will cause different voltages to be monitored at the two ends.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.3
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• pp.29-36
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• 2018

In this study, the moisture contents of four Hanoks have been monitored and the results were analyzed. Murujeong and Ongojae were built by traditional construction method and material, and Jeeshinjae and Hwakyeongdang were built by modernized construction method and material. Hwakyeongdang was monitored about 2 years and 9 months and the other three Hanoks were monitored about 4 years and 2 months. The surface moisture contents were measured by the non-destructive electronic resistant type moisture content meter. The measured moisture contents were affected by the orientation to the sun, wood type, temperature and relative humidity. The columns on the northern side and lumber showed more moisture contents than those of the southern side and glue-laminated wood. The moisture contents and relative humidity showed proportional relationship. The moisture contents of all four monitored Hanoks existed proper range by and large.

• Archives of Plastic Surgery
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• v.38 no.1
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• pp.7-14
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• 2011

Purpose: Many patients have fear for surgery owing to the injection of lidocaine and the possible pain in the course of the operation. To resolve such a problem the cases to do plastic surgery with monitored anesthetic care are increasing, in which something like sedatives is injected into vein without endotracheal intubation and under voluntary respiration, but the usage is now under the controversy. Methods: There were 25 patients who had surgery with local anesthesia, and another 25 patients who had surgery with monitored anesthetic care which belongs to ASA class 1 and 2 from January to April, 2009. Their anesthesia records were collected and surveys were given before and after the surgery and the surgery staff recorded OAA/S during the surgery. The postoperative surveys included the awakening during the surgery, pain, anxiety, and the degree of patient's satisfaction through visual analogue scale to identify the difference between the two methods. Results: The OAA/S results according to time lapse show that it is possible to lead a fast effective sedation and recovery with monitored anesthetic care, and monitored anesthetic care enhances both surgeon's convenience level and patient's satisfaction level, and reduces awakening, pain, and anxiety, compared to local anesthesia. Conclusion: The current paper shows about the plastic surgery, particularly the outpatient surgery, when monitored anesthetic care method is applied, it could gain a fast sedation and recovery or an effective sedation of patients. The method also has some affirmative effects in regard with surgeon's convenience and the patients' satisfaction degree and the reduction of their awakening, pain, and anxiety. With careful and adequate watch on the measures about vital signs like electrocardiogram, the degree of oxygen saturation, and blood pressure, it could clinically be very useful.

• Smart Structures and Systems
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• v.14 no.2
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• pp.209-224
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• 2014

With more and more built long-term structural health monitoring (SHM) systems, it has been considered to apply monitored data to learn the reliability of bridges. In this paper, based on a long-term SHM system, especially in which the sensors were embedded from the beginning of the construction of the bridge, a method to calculate the localized reliability around an embedded sensor is recommended and implemented. In the reliability analysis, the probability distribution of loading can be the statistics of stress transferred from the monitored strain which covered the effects of both the live and dead loads directly, and it means that the mean value and deviation of loads are fully derived from the monitored data. The probability distribution of resistance may be the statistics of strength of the material of the bridge accordingly. With five years' monitored strains, the localized reliabilities around the monitoring sensors of a bridge were computed by the method. Further, the monitored stresses are classified into two time segments in one year period to count the loading probability distribution according to the local climate conditions, which helps us to learn the reliability in different time segments and their evolvement trends. The results show that reliabilities and their evolvement trends in different parts of the bridge are different though they are all reliable yet. The method recommended in this paper is feasible to learn the localized reliabilities revealed from monitored data of a long-term SHM system of bridges, which would help bridge engineers and managers to decide a bridge inspection or maintenance strategy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.805-812
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• 2006

To investigate the usefulness of AASHTO joint opening equation, joint movement of Korea Highway Test Road was monitored and analyzed. The monitored section included Lean, Rubble, BB3 subbase. Demac gauges were installed at each joint in the monitored section, and joint movements with temperature changes were monitored. The measured joint movements with temperature change were then analyzed based on ER (Effective Ratio). The effect of subbase, which was considered as 'C' value in AASHTO equation, was not shown in the observed joint movement. To study the effcet of sealing on joint opening two unsealed sections were included in the monitored section, and no effects of sealing on joint movement were observed.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.2
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• pp.253-259
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• 2006

There is few study which automatically diagnoses the fault from ship's monitored data. The bigger control and monitoring system is. the more important fault diagnosis and maintenance is to reduce damage caused by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault from monitored data and is composed of fault detection knowledge base and fault diagnosis knowledge base. For all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem, To verify capability of fault detection, diagnosis and prediction, FMS(Fault Management System) is developed by C++. Simulation by FMS is carried out with population data set made by the log book data of 2 months duration from a large full container ship of H shipping company.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.245-248
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• 2002

This paper has been studied a new method to update the background image of a visual surveillance system which is not stationary. In order to do this, we use another background model designed with the whole monitored images in a regular time period. By comparing each changed area computed from the two background model images and current monitored image, the areas which will be updated are decided.

• Journal of Korean Society of Rural Planning
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• v.2 no.2
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• pp.91-102
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• 1996

Monitoring techniques for afro-ecological environments were studied, Hydrologic and ecological components in conjunction with water quality were monitored in the Balkan watershed. The hydrologic monitoring program consists of four water level gauging stations along creeks and stream at the watershed having 26.5 km2. Stage - storage relationship of reservoir, rainfall amount of the watershed, and rating curve of the stream gauging stations were established. Soil type, land use, hydrologic soil group, population and economic activities within the watershed were surveyed. Water quality data from the streams were sampled weekly and chemical analysis was conducted. Temporal variations of water quality were investigated and water quality map of each reach of stream was made to identify spatial variations. Seasonal and spatial variations of vegetation densities along stream in the watershed were investigated using grid, Density variations of insect species such as arthropod, flying insect, spider spices, rice insects were also monitored to determine seansonal surveying density. These monitored data will be used to develop monitoring techi%ues and afro - ecological environment models.

• Journal of Korean Society for Quality Management
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• v.11 no.1
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• pp.30-43
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• 1983

Evolutionary Operation was proposed by Box(1957) as an operating procedure for nudging a plant toward optimum conditions without causing dramatic disturbances and catastrophic cutbacks in production. In case two or three operating variables are monitored, Box and Hunter (1959) show how the EVOP is facilitated by using simplified calculations and emphasizing graphical presentation. Now, in this artical we develope EVOP when four operating variables are monitored and suggest more extended EVOP in general case.