• Journal of Korean Biological Nursing Science
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• 제20권2호
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• pp.103-113
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• 2018

Purpose: This study was performed to assess problems associated with sleep (short and long sleep duration) and to identify risky subgroups with sleep problems among adult cancer survivors. The study is based on the Korea National Health and Nutrition Examination Survey (KNHANES VI and VII) from 2013 to 2016. Methods: The sociodemographic and clinical data of 504 Korean cancer survivors aged 20-64 years was extracted from the KNHANES VI and VII database. Descriptive statistics for complex samples was used, and decision-tree analyses were performed using the SPSS WIN 24.0 program. Results: The mean age for survivors was approximately 51 years. The mean sleep duration was 6.97 hours; 36.2% of participants had short (< 7 hours) and 9.9% had long (> 8 hours) sleep duration. From the decision-trees analyses, the characteristics of the adult cancer survivors related to sleep problems were presented with six different pathways. Sleep problems were analyzed according to the survivors' sociodemographic information (age, education, living status, and occupation), clinical characteristics (body mass index, hypercholesterolemia, and anemia) and health-related quality of life (HRQoL). The HRQoL (${\leq}0.5$ or > 0.5 cutoff point) was a significant predictor of the participants' sleep problems because all six pathways were started from this predictor in the model. Conclusion: Health care professionals could use the decision-tree model for screening adult cancer survivors with sleep problems in clinical or community settings. Nursing interventions considering these specific individual characteristics and HRQoL level should be developed to have adequate sleep duration for Korean adult cancer survivors.

• 대한안전경영과학회지
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• 제17권2호
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• pp.215-228
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• 2015

A creative innovation and an innovative problem-solving of industrial companies can be achieved by overcoming the challenges of technical and physical contradictions. The approaches to address conflicting and paradoxical problems, such as technical and physical contradictions have a crucial role in advancing the quality assessment for manufacturer and service provider. The term, technical contradiction, depicts the state that improvement of one ends of IFR (Ideal Final Result) leads to unfavorable condition of the other ends, and results in conflicting problem. Another type of contradictions that's discussed in this study is a physical contradiction which is due to two mutually opposing states of the means of ends, and gives paradoxical situation. By integrating the means-ends chain perspectives, the physical contradiction that is a specifically root-causes, "means", can be initially addressed to resolve the downstream problem of technical contradiction which represents a general and abstract goals, "ends". This research suggests IFR resolution processes to handle both physical contradiction of means and technical contradiction of ends by employing causal relationship with IFR, effects and causes. In summary, the study represents three major processes that resolve such contradictions are demonstrated as follows: 1) Derivation of causal and hierarchical relationship among IFR, ends and means by considering CAED (Cause-And-Effect Diagram) and LT (Logic Tree). 2) Identification of causal relationship between physical contradiction and technical contradiction by using TPCT (TRIZ Physical Contradiction Tree) and TCD (Technical Contradiction Diagram). 3) Application of integrated TRIZ principles by classifying 40 inventive principles into 4 general conditions of the separation principle of mutually opposite states in space, in time, based on conditions, and between the parts and the whole. In order to validate the proof of proposed IFR resolution processes, the analysis of the TRIZ case studies from National Quality Circle Contest in the years, 2011 to 2014 have been proposed. The suggested guidelines that are built based on TRIZ principles can uniquely enhance the process of quality innovation and assessment for quality practitioners.

• 한국환경농학회지
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• 제35권2호
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• pp.137-142
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• 2016

BACKGROUND: Identification of endophytic yeasts inhabiting the internal roots of the Mankyua chejuense tree requires techniques involving biotechnology. There is a need for a culture-based method to isolate and identify yeast strains associated with M. chejuense.METHODS AND RESULTS: We spread homogenized M. chejuense root samples onto glucose-peptone- yeast agar containing antibiotics, Triton X-100, and L-sorbose. A total of 152 yeast isolates were obtained and identified via phylogenetic analysis based on ITS gene sequencing. The results revealed that the root-associated yeast species included the genera Cyberlindnera (140 isolates), Candida (11 isolates), and Kluyveromyces (one isolate). Additionally, three yeast isolates showed high bioethanol production.CONCLUSION: We identified the specific yeast community associated with M. chejuense roots. These yeast isolates may have industrial applications as bioethanol producers. Our findings revealed that Cyberlindnera isolates included C. suaverolens and C. satumus, while Kluyveromyces isolates showed high bioethanol production.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.113-115
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• 2016

Radio Frequency-based IDentification(RFID)에서 많은 태그들을 빠른 시간 안에 읽는 것이 중요한 문제이다. 여러 개의 태그가 리더의 질의 메시지에 동시에 응답할 때 생기는 간섭은 응답 시간의 지연과, 주파수 대역의 낭비, 추가적인 에너지 소모를 가져온다. 이러한 간섭을 줄이는 것은 많은 태그들을 빠른 시간 안에 읽는 하나의 방안이 될 것이다. 전통적으로 이러한 간섭을 줄이기 위해 Aloha방식과 Tree 기반 방식의 프로토콜이 사용된다. 이 방식들은 공통적으로 태그들 사이의 간섭을 해결하지만, 에너지 소모량, 이동성, 그리고 태그의 수에 따라, 서로 다른 성능을 제공한다. 이 때문에, 각 기법의 장단점을 파악하고, 이에 따라 적절한 기법을 적용해야 할 필요가 있다. 이 논문에서는 기존에 제안된 몇 가지 MAC 프로토콜을 소개하고, 그 프로토콜이 설계될 때 주안점을 둔 메트릭에 대해 비교한다. 이 비교 결과를 통해, 한정된 에너지를 사용하거나, 태그의 이동성이 중요할 때, 많은 태그들이 있을 때 등의 여러 상황들에 대해 적당한 프로토콜을 사용 할 수 있을 것이다.

• 한국컴퓨터정보학회논문지
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• 제22권11호
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• pp.97-104
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• 2017

Location prediction has been successfully utilized to provide high quality of location-based services to customers in many applications. In its usual form, the conventional type of location prediction is to predict future locations based on user's past movement history. However, as location prediction needs are expanded into much complicated cases, it becomes necessary quite frequently to make inference on the locations that target user visited in the past. Typical cases include the identification of locations that infectious disease carriers may have visited before, and crime suspects may have dropped by on a certain day at a specific time-band. Therefore, primary goal of this study is to predict locations that users visited in the past. Information used for this purpose include user's demographic information and movement histories. Data mining classifiers such as Bayesian network, neural network, support vector machine, decision tree were adopted to analyze 6868 contextual dataset and compare classifiers' performance. Results show that general Bayesian network is the most robust classifier.

• Journal of the Korean Wood Science and Technology
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• 제46권3호
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• pp.241-252
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• 2018

경산 임당 유적은 발굴된 층위와 출토된 유물을 근거로 2-4세기에 조성된 것으로 추정되었다. 본 연구는 유적지에서 출토된 목주 6점에 대해 추정된 연대를 확인하기 위하여 연륜연대분석을 실시하였다. 연륜연대분석 결과, 6점의 목주는 서로 일치하지 않아 각각 다른 시기에 벌채된 것으로 확인되었다. 6점의 목주 중 2점에 대해 위글매치법(wiggle matching)으로 방사성탄소연대를 측정한 결과에서도 각각 A.D. 94-135년과 A.D. 224-289년으로 재확인되었으며, 이는 전술의 추정연대와 일치하였다. 또한 목제유물의 수종 결과, 비교적 서늘한 환경에서 생장하는 수종(헛개나무, 피나무, 느릅나무 등)이 있음이 확인되었다. 이를 토대로 당시의 기후가 현재보다 서늘했다고 판단하였다.

• 한국유기농업학회지
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• 제5권1호
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• pp.137-147
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• 1996

For the purpose of acquiring microbial agents that can be utilized to biologically control the major airborne diseases to apple trees, such as canker(Botryosphaeria dothidea), bitter rot(Glomerella cingulata), alternaria leaf spot(Alternaria mali), root rot(rosellinia necatrix), canker(Valsa ceratosperma) and gray mold rot(Botrytis cinerea), the effective microorgaisms were isolated, tested for antagonistic activity to the pathogens causing major diseases to apple trees and identifed. Screening of more than 5,000 species of microorganisms collected in nature for them antagonistic action to the pathogens causing 5 major diseases to apple trees resulted in selection of effective species. Out of the 11 species, one species designated as CAP134 demonstrated outstanding activity. The bacterial strain, CAP134 exerted antagonistic efficiency of 57% on an isolated strain and 40% on a donated strain of Botryosphaeria dothidea., 52% on an isolated strain and 46% on a purchased strain of Alternaria mali, 60% on Valsa ceratosperma 25% on Glomerella cingulata, and 64% Rosellinia necatrix. The CAP134 was identified as a bacterial strain to Bacillus subtilis ATCC 6633 based on morephology, culture conditions, and physio-biochemical characteristics.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2003년도 가을 학술발표회 논문집
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• pp.103-114
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• 2003

This paper aims to propose a method that helps maintenance engineers to evaluate the damage states of bridge structure systems by using a Fuzzy Fault Tree Analysis. It may be stated that Fuzzy Fault Tree Analysis may be very useful for the systematic and rational fuzzy reliability assessment for real bridge structure systems problems because the approach is able to effectively deal with all the related bridge structural element damages in terms of the linguistic variables that incorporate systematically experts experiences and subjective judgement. This paper considers these uncertainties by providing a fuzzy reliability-based framework and shows that the identification of the optimum maintenance scenario is a straightforward process. This is achieved by using a computer program for LIFETIME. This program can consider the effects of various types of actions on the fuzzy reliability index profile of a deteriorating structures. Only the effect of maintenance interventions is considered in this study. However. any environmental or mechanical action affecting the fuzzy reliability index profile can be considered in LIFETIME. Numerical examples of deteriorating bridges are presented to illustrate the capability of the proposed approach. Further development and implementation of this approach are recommended for future research.

• 한국균학회지
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• 제49권3호
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• pp.315-324
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• 2021

In this study, the fungal strains KNU-Gunwi 2B and KNU-SOT5 were isolated from root-soil in a hillside and the cherry tree bark (Prunus serrulata), respectively from Gyeongbuk province in Korea. The strain KNU-SOT5 produced dark brown chlamydospores that were smooth to lightly rough-walled, globose to ellipsoidal, and the conidia were aseptate, guttulate, mostly fusiform with a diameter of 5.3-17.6×4.2-7.0 ㎛. Strain KNU-Gunwi 2B produced phialides that were smooth-walled, cylindrical with semi-papillate apices and the conidia were pale-green, broadly ellipsoid, and sometimes cylindrical with a diameter of 4.4-8.0×2.3-4.0 ㎛. The strain KNU-SOT5 and KNU-Gunwi 2B were resolved based on cultural and morphological characteristics, along with the phylogenetic analysis using the small subunit (SSU), large subunit (LSU), and internal transcribed spacers (ITS) regions. The fungal strains KNU-SOT5 and KNU-Gunwi 2B were identified as Dothidea insculpta and Metarhizium rileyi, which have not been reported in Korea.

• 정보보호학회논문지
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• 제29권3호
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• pp.657-673
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• 2019

최근 운항되고 있는 선박은 전자해도시스템 및 자동위치식별장치 등 다양한 IT, OT 시스템이 사용되고 있어 선박건조와 항해 환경까지 고려한 보안 요소가 요구된다. 하지만, 선박과 조선 ICT 기자재 산업에 관한 사이버보안 연구는 아직 부족한 현실이며, 위협 모델링을 통한 체계적인 방법론이 부족하다. 본 논문에서는 선박 시스템에 접근하는 이해관계자를 고려하여 Data Flow Diagram을 수립하였다. 선박 시스템들의 보안 취약점과 사례들을 수집한 Attack Library를 기반으로 STRIDE 방법론과 Attack Tree를 활용한 위협 모델링을 통해 선박에서 발생 가능한 위협을 식별하고 선박 사이버보안 대책을 제시하고자 한다.