• Journal of Energy Engineering
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• v.17 no.4
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• pp.175-181
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• 2008

지난 10여년간 한국 사회는 기술적, 경제적, 정치적으로 많은 성장과 변화, 그리고 발전을 거듭하여 세계 13의 경쟁력을 자랑하고 있다. 하지만, 우리나라의 사회적 성장 수준은 세계 30위에 그치고 있어 노령화 정책, 환경 문제, 양극화문제, 균형 발전 등의 사회적 성장과 삶의 질 향상을 위한 노력이 필요한 상황이다. 지속가능한 안전한 삶에 대한 국민적 관심과 요구가 높아지고 있음에도 불구하고 우리 사회는 일상생활과 밀접한 전기 화재 및 가스 사고에서부터 국가 산업 경쟁력 및 심각한 환경문제까지 야기할 수 있는 발전소 혹은 대형 플랜트 사고에 이르기까지 위험 요소를 안고 있다. 이에 본 연구는 이러한 에너지 관련 시설 및 활동으로부터 발생할 수 있는 사고를 예방하고 조치할 수 있는 안전 기술 개발 현황에 대하여 조사하고 이를 바탕으로 향후 국내 에너지 안전 기술의 개발 방향에 대한 의견을 제안하였다. 또한, 국내 가스 및 설비 안전 기술의 현황을 파악하고 이를 토대로 안전 기술의 유형을 분류하여 향후 관련 기술의 방향성 제시를 위해 중장기 TRM(technical road map)을 제시하여 에너지 안전 기술의 경쟁력 확보를 위한 토대를 마련하였다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.461-466
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• 2021

본 연구에서는 DECO(Dictionnaire Electronique du COreen) 한국어 전자사전과 LGG(Local-Grammar Graph)에 기반한 반자동 언어데이터 증강(Semi-automatic Symbolic Propagation: SSP) 방식에 입각하여, 핀테크 분야의 CS(Customer Service) 챗봇 NLU(Natural Language Understanding)을 위한 주석 학습 데이터를 효과적으로 생성하고, 이를 기반으로 RASA 오픈 소스에서 제공하는 DIET(Dual Intent and Entity Transformer) 아키텍처를 활용하여 핀테크 CS 챗봇 NLU 시스템을 구현하였다. 실 데이터을 통해 확인된 핀테크 분야의 32가지의 토픽 유형 및 38가지의 핵심 이벤트와 10가지 담화소 구성에 따라, DECO-LGG 데이터 생성 모듈은 질의 및 불만 화행에 대한 양질의 주석 학습 데이터를 효과적으로 생성하며, 이를 의도 분류 및 Slot-filling을 위한 개체명 인식을 종합적으로 처리하는 End to End 방식의 멀티태스크 트랜스포머 모델 DIET로 학습함으로써 DIET-only F1-score 0.931(Intent)/0.865(Slot/Entity), DIET+KoBERT F1-score 0.951(Intent)/0.901(Slot/Entity)의 성능을 확인하였으며, DECO-LGG 기반의 SSP 생성 데이터의 학습 데이터로서의 효과성과 함께 KoBERT에 기반한 DIET 모델 성능의 우수성을 입증하였다.

• The Korean Journal of Archival Studies
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• no.49
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• pp.299-325
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• 2016

This paper examines the importance, types, and locations of maul records, and the methods for collecting, preserving, and using them. Maul records reveal the nature of the residents' ordinary lives, help to closely examine the history and culture of the maul, and serve as cultural resources that supplement oral records. Collecting materials from maul records requires understanding the types, locations, and states of the records. Maul records should include records created by the local organizations, personal records by individuals, and records that evidence the history of the maul. The collection methods of maul records are categorized into regular collection, irregular collection, passive collection, and active collection. These records need to be locally conserved in the maul. They can enhance the residents' lives, and can be used to help produce books, posters, calendars, commercial advertisements, symbols, academic education, exhibitions, digital contents, and historical records. They are also useful in helping to market the history.

• Journal of the Korean School Mathematics Society
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• v.15 no.4
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• pp.699-718
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• 2012

The purpose of mathematics eduction is to develop the ability of thinking mathematically. It informs method to solve problem through mathematical thinking that teach mathematical ability. Errors in the problem solving can be thought as those in the mathematical thinking. Therefore analysis and classification of mathematics errors is important to teach mathematics. This study researches the preceding studies on mathematics errors and presents the characteristic of them with analyzed models. The results achieved by analysis of the process of problem solving are as follows : ▸ Students feel much harder to solve words problems rather than multiple-choice problems. ▸ The length of sentence make some differences of understanding of the words problems. Students easy to understand short sentence problems than long sentence problems. ▸ If students feel difficulties on the pre-learned mathematical content, they feel the same difficulties on the words problems based on the pre-learned mathematics content.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.1
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• pp.44-55
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• 2020

Objective : This study used the data of the National Statistical Office to analyze the time use of disabled youth and their self-satisfaction with it by their type of occupation. Methods : Using raw data extracted from Statistics Korea, 84 disabled youth from 10 to 24 years old were re-classified into six occupational areas based on Occupational Therapy Practice Framework (OTPF)-3. The occupational types were classified according to the time use by individuals based on data from Statistics Korea. Finally, according to the type of occupation, self-satisfaction with the use of time was identified. Results : The total amount of time spent by disabled youths was the largest in the rest and sleep categories, followed by daily living, education, leisure, social participation, and play. The analysis of occupational types showed that the groups were turned around (10.71% of participants), high activity group (50.00%), low activity (28.57%), and balanced (10.71%). There were significant differences between types in the first five of the aforementioned categories. There was no significant difference in the lack of time use, but there was a significant difference among their satisfaction with their use of time. The balanced type (21.53%) reported the most satisfaction. inadequacy Conclusion : The purpose of the project was to provide the raw data of intervention activities that can improve the quality of life and health of disabled youth. By analyzing their time use and occupations, deficiencies in time management and their satisfaction with their use of time can be noted.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.149-157
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• 2017

Unnecessary readmissions could be the result of the inadequate and unnecessary treatments. Adequate quality indicators for readmission are important because they can identify inadequate spending by inpatients as well as quality screening. This study attempted to estimate the cost incurred by unnecessary readmissions. The Health Insurance Claims Data of 18 years or older who were admitted in the tertiary hospitals in 2014 were analyzed. Admissions and readmissions were sorted and readmissions were classified into planned and unplanned readmissions. We adopted 28 days as a criteria for the classification of the readmission. Proportion of the patients were higher in readmissions among cancer, accompanied diseases, and special rehabilitation patients. Cost of the readmissions were 50% of the total cost of the admission among the patients of same diseases, same departments, and same hospitals. Almost 1,000billion Won were used by the unnecessary readmissions. We need to reduce the readmissions in regions, departments, and diseases studying the pattern of the readmissions. National level efforts are required to improve quality of care and reduce cost by the unnecessary readmissions.

• The KIPS Transactions:PartC
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• v.16C no.1
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• pp.13-20
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• 2009

Recently, as traffic flooding attacks such as DoS/DDoS and Internet Worm have posed devastating threats to network services, rapid detection and proper response mechanisms are the major concern for secure and reliable network services. However, most of the current Intrusion Detection Systems (IDSs) focus on detail analysis of packet data, which results in late detection and a high system burden to cope with high-speed network traffic. In this paper we propose an SNMP-based lightweight and fast detection algorithm for traffic flooding attacks, which minimizes the processing and network overhead of the detection system, minimizes the detection time, and provides high detection rate. The attack detection algorithm consists of three consecutive stages. The first stage determines the detection timing using the update interval of SNMP MIB. The second stage analyzes attack symptoms based on correlations of MIB data. The third stage determines whether an attack occurs or not and figure out the attack type in case of attack.

• Journal of The Geomorphological Association of Korea
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• v.20 no.4
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• pp.37-50
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• 2013

This study analyzes results of published studies of weathering pits in Korea focusing on tafoni and gnamma and it suggests new types of weathering pits and next subjects through the analysis. 34 papers, published between 1978 and February 2012, have been analyzed and the following are details of the analysis. In terms of the study results, weathering pits are commonly developed on coarse-grained rocks such as granite, but also found on various rocks. Multiple reasons including mechanical, chemical and salt weathering create weathering pits and they are closely related to the geological structure. Weathering pits are classified as tafoni and gnamma but the forms have not been verified. In the future, quantitative analysis must be conducted find the factors influencing creation, forms and development of weathering pits.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.276-285
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• 2015

The aim of this study was to identify the impact of community factors on the community-level Health-Related Quality of Life (HRQOL) in Korea. This was a cross-sectional study conducted in 2012 using secondary data(n=209) of the Korean Statistical Information Service. The framework was based on community factors provided by the International Council of Science (ICSU) and community factors were categorized based on six aspects. Multiple regression was applied to community factors depending on the community EQ-5D index. Smoking rate, "Good" self-rated health rate, water and wastewater coverage rate, and financial independency rate were significantly and positively associated with the EQ-5D score. Net migration rate(more move out than move in), obesity rate, unmet needed health care rate, and community type(rural than urban) were significantly and negatively associated with the EQ-5D score. This study identifies association for the impact of community factors on the community-level HRQOL and can provide useful evidence for development of community health promotion policies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.51-56
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• 2022

With the development of industrialization, the amount of food and waste is rapidly increasing. Accordingly, the government is aware of the seriousness and is making efforts in various ways to reduce it. As a part of that, the volume-based food system was introduced, and although there were several trials and errors at the beginning of the introduction, it shows a reduction effect of 20 to 30%. These results suggest that the volume-based food system is being established. However, the waste is caused by foreign substances in the process of recycling resources by collecting them from the 1st collection to the 2nd collection process. Therefore, in this study, to solve these problems fundamentally, artificial intelligence is applied to classify foreign substances and improve them. Due to the nature of food waste, there is a limit to obtaining many images, so we compare several models based on CNNs and classify them as abnormal data, that is, CNN-based models are trained on various types of foreign substances, and then models with high accuracy are selected. We intend to prepare improvement measures for maintenance, such as manpower input to protect equipment and classify foreign substances by applying it.