• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.3-3
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• 2010

이번 성원에드워드 학술상 수상자 선정은, 진공기술의 중요성에 공감하고 진공기술 발전을 위한 노력을 독려하자는 진공학회 회원들의 의견을 모아주신 결과로 생각한다. 본 발표에서는 그동안 한국표준과학연구원에서 수행해 온 진공 기술 연구 및 산학연 협력 네트워크 활동을 소개하고자 한다. 진공기술은 진공 환경을 발생시키고 측정 제어하며, 만들어진 진공 환경 안에서 원하는 작업을 할 수 있도록 하는 기술을 말한다. 우리나라의 주력산업인 반도체 및 디스플레이의 경우 그 생산 설비의 1/3이상이 진공 장비이며 진공 공정을 통해 만들어진다. 때문에 우리나라에서는 주력 산업분야나 그 전후방 산업의 경쟁력 강화 측면에서 진공기술 개발 중요성이 아주 크다. 한국표준과학연구원은 국가 대표 측정 기관으로 국가 측정 표준을 확립하고 측정관련 과학기술을 연구개발하며 그 성과를 보급하여 경제발전과 과학기술발전, 그리고 삶의 질 향상에 기여하는 것을 임무로 하고 있다. 우리나라에서 진공 측정 표준에 대한 연구가 본격적으로 시작된 것은 1984년으로 불용 장비로 불하받은 펌프와 챔버, 그리고 차관으로 도입된 Capacitance Diaphragm Gauge 몇 개만으로 시작되었다. 지금은 발전을 거듭하여 초음파 간섭 수은주 압력계를 비롯하여 정적 팽창시스템, 동적 팽창 시스템 등 진공도 범위별 국가 표준기와 리크 표준기를 자체 개발 하여 국가 측정 표준을 확립하고 있다. 우리나라의 진공 표준 및 측정 능력은 국제기구인BIPM에서 실시하는 국가 측정능력 비교시험을 통해 세계 최고 수준으로 인정 받은 바 있으며 교정검사 등을 통해 산학연에 보급되고 있다. 진공 측정 및 표준기술을 토대로, 1999년부터 과학기술부와 산업자원부의 지원을 받아 산학연이 필요로 하는 펌프 계측기 부품 소재 및 공정 특성을 평가하기 위한 장치와 절차를 개발하였다. 이를 이용해 보급되는 기술 data는 진공부품 및 장비 국산화, 국산제품 신뢰성 제고, 검증부품 사용을 통한 장비 품질 향상, 독자적 장비 기술 확보, 생산품 품질관리 등에 쓰이고 있다. 한국 표준연구원 진공센터의 교정 및 시험 능력은 ISO 9001 인증 획득과 국제 전문가의 review를 거쳐, 국제기구 측정능력표에 등재되어 있어 국제적 신뢰도도 확보하고 있다. 정기적인 진공기술 교류회를 개최하고 진공기술 홈페이지를 운영 하는 등 산학연 정보 교류 및 협력 네트워킹 활성화를 위해 노력한 바 있으며 이 분야의 연구 성과는 '국가 우수 연구성과 100선'에 선정된 바 있고, 산업자원부 지정 '산학연 연계 우수사례' 첫 번째로 선정되기도 하였다. 2008년부터는 진공기술 교류회 등을 통한 네트워킹 활동으로 도출된 기술 수요에 따라 대기업과 중소기업 학교 연구소들과 함께 진공공정 실시간 측정 진단 기술과 센서 개발 연구, 그리고 이들 개발품의 신뢰성 검증 및 평가 기술 개발을 위해 노력하고 있다.

• Korean Journal of Remote Sensing
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• v.14 no.4
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• pp.376-391
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• 1998

Images from satellites will have 1 to 3 meter ground resolution and will be very useful for analyzing current status of earth surface. An image processing system named GeoWatch with more intelligent image processing algorithms has been designed and implemented to support the detailed analysis of the land surface using high-resolution satellite imagery. The GeoWatch is a valuable tool for satellite image processing such as digitizing, geometric correction using ground control points, interactive enhancement, various transforms, arithmetic operations, calculating vegetation indices. It can be used for investigating various facts such as the change detection, land cover classification, capacity estimation of the industrial complex, urban information extraction, etc. using more intelligent analysis method with a variety of visual techniques. The strong points of this system are flexible algorithm-save-method for efficient handling of large size images (e.g. full scenes), automatic menu generation and powerful visual programming environment. Most of the existing image processing systems use general graphic user interfaces. In this paper we adopted visual program language for remotely sensed image processing for its powerful programmability and ease of use. This system is an integrated raster/vector analysis system and equipped with many useful functions such as vector overlay, flight simulation, 3D display, and object modeling techniques, etc. In addition to the modules for image and digital signal processing, the system provides many other utilities such as a toolbox and an interactive image editor. This paper also presents several cases of image analysis methods with AI (Artificial Intelligent) technique and design concept for visual programming environment.

• Korean Journal of Remote Sensing
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• v.21 no.6
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• pp.457-468
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• 2005

Increasing of impervious surface resulting from urban development has negative impacts on urban environment. Therefore, it is absolutely necessary to estimate and quantify the temporal and spatial aspects of impervious area for study of urban environment. In many cases, conventional image classification methods have been used for analysis of impervious surface fraction. However, the conventional classification methods have shortcoming in estimating impervious surface. The DN value of the each pixel in imagery is mixed result of spectral character of various objects which exist in surface. But conventional image classification methods force each pixel to be allocated only one class. And also after land cover classification, it is requisite to additional work of calculating impervious percentage value in each class item. This study used the spectral mixture analysis to overcome this weakness of the conventional classification methods. Four endmembers, vegetation, soil, low albedo and high albedo were selected to compose pure land cover objects. Impervious surface fraction was estimated by adding low albedo and high albedo. The study area is the Tanchon watershed which has been rapidly changed by the intensive development of housing. Landsat imagery from 1988, 1994 to 2001 was used to estimate impervious surface fraction. The results of this study show that impervious surface fraction increased from $15.6\%$ in 1988, $20.1\%$ in 1994 to $24\%$ in 2001. Results indicate that impervious surface fraction can be estimated by spectral mixture analysis with promising accuracy.

• Journal of The Geomorphological Association of Korea
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• v.20 no.1
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• pp.21-33
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• 2013

Weight of evidence model was applied for potential mapping of mountainous wetland to reduce the range of the field survey and to increase the efficiency of operations because the surveys of mountainous wetland need a lot of time and money owing to inaccessibility and extensiveness. The relationship between mountainous wetland location and related factors is expressed as a probability by Weight of evidence model. For this, the spatial database consist of slope map, curvature map, vegetation index map, wetness index map, soil drainage rating map was constructed in Yeongnam area, Korea, and weights of evidence based on the relationship between mountainous wetland location and each factor rating were calculated. As a result of correlation analysis between mountainous wetland location and each factors rating using likelihood ratio values, the probability of mountainous wetlands were increased at condition of lower slope, lower curvature, lower vegetation index value, lower wetness value, moderate soil drainage rating. Mountainous Wetland Potential Index(MWPI) was calculated by summation of the likelihood ratio and mountainous wetland potential map was constucted from GIS integration. The mountain wetland potential map was verified by comparison with the known mountainous wetland locations. The result showed the 75.48% in prediction accuracy.

• Journal of the Korea Institute of Construction Safety
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• v.1 no.1
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• pp.22-30
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• 2018

Construction accidents in Korea are continuously increasing. Safety signs with high visibility color can diminish such accidents in dangerous places. In order for safety color to be more effective as a global communication means in construction sites, it needs to be checked out whether safety color standard reflect the characteristics of construction industry such as worker or work environment. This paper compared safety color standards among Korea, the US, the UK, and Australia. First, blue color was included in all, which should be corrected considering aged workers increasing in construction industry. Because with age, the ability to distinguish between blue, purple, and gray colors decreases. Second, Korea, which has only single code designated to safety colors, should find alternatives like tolerance to be applicable to a variety of light environments on construction sites, as the contrast which affect the visibility may decrease in dark conditions.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.3
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• pp.322-335
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• 2019

Objectives: The goal of this study is to standardize industry, process, and job within work environment measurement information. Methods: We selected 180 work environment measurement reports on 30 industries from a database monitored from 2014 to 2016 by the Korea Industrial Health Association. Ten industrial hygienists, each with over five years of experience in measurement, conducted a primary standardization of 180 reports. Two professional industrial hygienists with more than 20 years of experience each reviewed and revised the results of the primary standardization. We also examined the validity on the usefulness of the standardized database by the two industrial hygienists. Results: The final standardization results were classified into eight major categories, 23 sub-major categories, 39 minor categories, 53 unit categories and 70 sub-unit categories in the Korean Standard Industrial Classification (KSIC) 10th revision. A total of 161 processes were standardized, and there were 148 processes with K2B codes. Standard job was coded into 13 job groups including operator, automobile maintenance, nurse, maintenance, manager, excavating machine operator, forklift driver, radiologist, clinical pathologist, signer, researcher, kitchen assistant, and concrete reinforcement ironworker. Conclusions: Although the standardized information in this study may be only a part of the total information, it can be useful for improvement of the K2B system. Additional research is needed for an ongoing clean-up of data in the K2B and re-calibration and reclassification of standard processes until the future national exposure monitoring system is fully established.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.4
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• pp.408-414
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• 2018

Various studies have been conducted to reduce marine accidents. However, research on marine incidents is only marginal. There are many reports of marine incidents, but the main content of existing studies has been qualitative, which makes quantitative analysis difficult. However, quantitative analysis of marine accidents is necessary to reduce marine incidents. The purpose of this paper is to analyze marine incident data quantitatively by applying big data techniques to predict marine incident trends and reduce marine accident. To accomplish this, about 10,000 marine incident reports were prepared in a unified format through pre-processing. Using this preprocessed data, we first derived major keywords for the Marine incidents at sea using text mining techniques. Secondly, time series and cluster analysis were applied to major keywords. Trends for possible marine incidents were predicted. The results confirmed that it is possible to use quantified data and statistical analysis to address this topic. Also, we have confirmed that it is possible to provide information on preventive measures by grasping objective tendencies for marine incidents that may occur in the future through big data techniques.

• The Journal of Bigdata
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• v.6 no.1
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• pp.145-151
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• 2021

In recent years, digital data has been generated in all areas of human activity, and there are many attempts to safely store and process the data to develop useful services. A data lake refers to a data repository that is independent of the source of the data and the analytical framework that leverages the data. In this paper, we designed a tool to safely store various big data generated by smart cities in a data lake and ETL it so that it can be used in services, and a web-based tool necessary to use it effectively. Implement. A series of processes (ETLs) that quality-check and refine source data, store it safely in a data lake, and manage it according to data life cycle policies are often significant for costly infrastructure and development and maintenance. It is a labor-intensive technology. The mounting technology makes it possible to set and execute ETL work monitoring and data life cycle management visually and efficiently without specialized knowledge in the IT field. Separately, a data quality checklist guide is needed to store and use reliable data in the data lake. In addition, it is necessary to set and reserve data migration and deletion cycles using the data life cycle management tool to reduce data management costs.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.204-209
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• 2021

This study is a data analysis study to identify the factors influencing the prevalence and risk factors for falls of older adults with dementia in Korea. Using the data of the 7th Aging Research Panel in 2018, 119 people were enrolled. We used response data on the dementia-related factors that is the duration of dementia and whether or not activity of daily living was restricted due to dementia. For comorbid diseases, data on hypertension, diabetes, and obesity were used. For statistical analysis of the collected data, logistic regression analysis was performed using SPSS statistics 22.0. Dementia-related factors and comorbidities of the analyzed subjects had a significant effect on the falling index. In particular, it was found that the influence was greatest in the order of obesity, diabetes, hypertension, daily life restrictions due to dementia, and the duration of dementia. This study is meant to identify factors that should be prioritized in the composition of a fall prevention program for the elderly with dementia. Based on the findings of this study, strategies for preventing falls due to the duration of dementia and limiting daily life, intensive management of high-risk groups for falls due to comorbid diseases, and training in the use of safety aids such as walking aids will be required in the care of the elderly with dementia,

• The Journal of Korean Academy of Sensory Integration
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• v.17 no.1
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• pp.54-64
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• 2019

Objective : The purpose of this study is to study the effects of multisensory environment interventions, to provide information about clinical applications, and to aid South Korean research on the multisensory environment. Methods : PubMed, Cochrane, and Google Scholar were used to search for papers published from 2008 to 2018. The main search terms were "multisensory environment" and "snoezelen", a total of 10 foreign research articles were selected. And they were summarized according to Patient, Intervention, Comparison, Outcome (PICO). Results : Among the 10 papers, 6 included participants with dementia. The other studies examined patients with intellectual disabilities, patients with schizophrenia, and pregnant women. The study periods ranged from 3 weeks to 10 months. Most of the interventions included 2 or 3 sessions per week. The duration of each intervention session was 30 to 60 minutes. The dependent variables were psychological factors (such as anxiety and depression), social factors (such as quality of life), and cognitive and physical domains. The multisensory environment used for the interventions in the studies consisted of visual, auditory, and tactile senses, as well as additional olfactory and taste sensations, and vestibular sensations. Conclusion : In the future, the research should be applied to various target groups, especially children, who are interested in multisensory environmental intervention in South Korea.