• Journal of Conservation Science
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• v.33 no.3
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• pp.181-188
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• 2017

A total of 16 precious archaeomagnetic dating data were obtained from various historic sites including fired soils from eight archaeological sites on Jeju Island. We researched the measurement results of 12 pieces of data from before the Common Era (BCE), and four pieces of data from after the Common Era. First, the BCE data could be divided into three groups (A, B, and C) based on the difference in the archaeomagnetic data. By comparing the data accumulated in other parts of Korea and referring to the archaeological years, the order of the groups was as follows: A group (Bronze Age~Early Iron Age) ${\rightarrow}$ B group (Early Iron Age when the circular rim eomtodae pottery was excavated) ${\rightarrow}$ C group (Early Iron Age when triangulated rim jeomtodae pottery was excavated), with A group being the earliest data group and C group being the latest data group. In addition, the data after the Common Era could be used to determine the archaeomagnetic dating of the archaeological sites. Through the archaeomagnetic dating of Jeju's archaeological sites for the BCE period, the relative order of the relics was determined, and for the period after the Common Era, the absolute age of the historic sites was obtained. They are expected to be used diversely in the chronological study of Jeju.

• Proceedings of the Korean Geotechical Society Conference
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• 1991.10a
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• pp.312-331
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• 1991

Top-down Method of basement construction technique has been applied for building of the deep basement car park the close proximity of priceless historic buildings in LONDON. Numerical analysis for the prediction of ground movement of the surrounding buildings was performed in order to compare the field data at the various stages of excavation and support. The predicted results from the elasto-plastic analytical method were compared with the observed data and the agreement is very satisfactory. It may be concluded that the system of diaphragm wall supported by the permanent base slabs (Top-Down Method) was proved to be the most effective technique in terms of reducing any critical damage to the surrounding buildings.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.2058-2064
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• 2014

In transformer fault diagnosis, dissolved gas analysis (DGA) is been widely employed for a long period and numerous methods have been innovated to interpret its results. Still in some cases it fails to identify the corresponding faults. Due to the limitation of training data and non-linearity, the estimation of key-gas ratio in the transformer oil becomes more complicated. This paper presents Intuitionistic Fuzzy expert System (IFS) to diagnose several faults in a transformer. This revised approach is well suitable to diagnosis the transformer faults and the corresponding action to be taken. The proposed method is applied to an independent data of different power transformers and various case studies of historic trends of transformer units. It has been proved to be a very advantageous tool for transformer diagnosis and upkeep planning. This method has been successfully used to identify the type of fault developing within a transformer even if there is conflict in the results of AI technique applied to DGA data.

• Korean Journal of Adult Nursing
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• v.14 no.3
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• pp.438-448
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• 2002

Purpose: This study is aimed to search the lived experiences of the participants and to analyze the contents so that we can be assured about what the elderly wish and find the appropriate nursing intervention for them in real life. Method: This is based on a phenomenological approach. Participants of this study consist of people older than 65 years old. Data was collected from May to August in 2001. Data collection was done through in-depth interviews and observations. The time used in each interview was from 50 minutes to 2 hours. Each participant was interviewed three to five times. Giorgi's phenomenological analysis was used in data analysis. Result: The elder's wishes are 1) a respected life, 2) a happy life, 3) a peaceful life, 4) a independent life, 5) a financially independent life, 6) a satisfactory life, 7) a mind to depend on someone, 8) a serving life, 9) a historic family, 10) a happy-ending life. Conclusion: The study will contribute for the nursing intervention to enhance the quality of life and successful aging of the elderly.

• Journal of Communications and Networks
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• v.13 no.2
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• pp.125-131
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• 2011

Rapid strides are being made to bring to reality the technology of wearable sensors for monitoring patients' physiological data.We study the problem of automatically detecting anomalies in themeasured blood glucose levels. The normal daily measurements of the patient are used to train a hidden Markov model (HMM). The structure of the HMM-its states and output symbols-are selected to accurately model the typical transitions in blood glucose levels throughout a 24-hour period. The learning of the HMM is done using historic data of normal measurements. The HMM can then be used to detect anomalies in blood glucose levels being measured, if the inferred likelihood of the observed data is low in the world described by the HMM. Our simulation results show that our technique is accurate in detecting anomalies in glucose levels and is robust (i.e., no false positives) in the presence of reasonable changes in the patient's daily routine.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.36 no.1
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• pp.97-108
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• 2018

The purpose of this study is to propose the construction of a visibility analysis model, which is the basis of the analysis for landscape management on the heritage sites such as historic villages and scenic sites. Results of the visibility analysis using DEM and the visibility analysis of DSM based on 3D mapping data are compared as follows: Precision level of the extracted data was confirmed to be less than 6.5cm, based on RTK survey results produced by constructing orthoimage data and DSM from the digital data of 2cm-class GSD(Ground Sample Distance) obtained by using a small UAV(Unmanned Aerial Vehicle). As a result of comparing the visibility analysis data of Digital Surface Model (DSM) using a small UAV with Digital Elevation Model(DEM) applying the height of the building to the Digital Topographic Map, it was confirmed that more realistic visibility analysis can be accomplished by applying DSM, as the structures such as fences, trees, and houses are reflected in the topographic data. The visibility analysis model using the 3D mapping technique can efficiently obtain the constantly changing topographic information when needed, by immediately constructing the data by utilizing a small UAV. It seems to be possible to propose a reasonable analysis result for preservation management such as landscape evaluation of cultural property.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.1386-1390
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• 2007

This paper presents the equipment condition monitoring technology for the process or the equipment using statistical techniques. The equipment condition monitoring system consists of an empirical model to estimate the expected sensor values of process variables and a diagnose model to detect the abnormal condition and to identify the root source of the problem. The empirical model is constructed by the analysis of historic data. The diagnose model uses the sequential probability ratio test (SPRT) technique. The monitoring system was tested with real operating data acquired from the Reactor Coolant Pump Seal in the Nuclear Power Plant. It can detect the system degradation or failure at the early stage since it is able to catch the subtle deviation of process variables from normal condition.

• Journal of Korean Library and Information Science Society
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• v.10
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• pp.267-322
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• 1983

Chiri-chi were composed of the description on the geography, history of region, population, industry, economy, traffics, communication, society, persons of the loyalty, historic remain and social customs. Consequently, the above mentioned data will be contributed to the study on the structures of geography, history, economy, administration and general government affairs as well as the study on the social customs and literature. Especially, they will be important data for the arrangement of cultural assets of our country. However, these valued materials revealed insufficient introductions as to investigations for the Honam area. In this study, the classified analyzes from a bibliographical point of view in Chonan, Wanmun, Hyongchian, Ryangan, Upchi, maps and Hyangag etc. And Then, research made on introduction to 324 items of a above materials. In summing up, the research is of the hope that this study could be of a help to the future researches on the Honam area including another area and insufficient part should be su n.0, pplemented in the future.

• Korean Journal of Remote Sensing
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• v.23 no.3
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• pp.221-227
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• 2007

We present an analysis of urban development and growth with reconnaissance satellite photographs of Columbus metropolitan area acquired by the Corona program in 1965. A two-dimensional polynomial linear transformation was used to rectify the photos against United State Geological Survey (USGS) Large-scale Digital Line Graph (DLG) data georeferenced to Universal Transverse Mercator (UTM) coordinates. The boundaries of the Columbus metropolitan area were extracted from the rectified Corona image mosaic using a Bayesian approach to image segmentation. The inferred 1965 urban boundaries were compared with 1976 USGS Land Use and Land Cover (LULC) data and boundaries derived from 1988 and 1994 Landsat TM images. The urban area in and around Columbus approximately doubled from 1965 to 1994 (${\sim}110%$) along with population growth from 1960 to 1998 (${\sim}50%$). Most of the urban expansion results from development of residential units.

• Wind and Structures
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• v.14 no.3
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• pp.221-238
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• 2011

The estimated response of large-scale engineering structures to severe wind loads is prone to modelling uncertainties that can only ultimately be assessed by full-scale testing. To this end ambient vibration data from full-scale monitoring of the historic Clifton Suspension Bridge has been analysed using a combination of a frequency domain system identification method and a more elaborate stochastic identification technique. There is evidence of incipient coupling action between the first vertical and torsional modes in strong winds, providing unique full-scale data and making this an interesting case study. Flutter derivative estimation, which has rarely previously been attempted on full-scale data, was performed to provide deeper insight into the bridge aerodynamic behaviour, identifying trends towards flutter at higher wind speeds. It is shown that, as for other early suspension bridges with bluff cross-sections, single-degree-of-freedom flutter could potentially occur at wind speeds somewhat below requirements for modern designs. The analysis also demonstrates the viability of system identification techniques for extracting valuable results from full-scale data.