• 한국도서관정보학회지
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• 제45권2호
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• pp.283-309
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• 2014

문장이나 문단 내에서 특정 기능을 하는 표현을 이동마디라고 하며, 여러 이동마디는 논문의 초록에서 쉽게 발견된다. 대부분의 이동마디는 보편적으로 배경-목표-방법-결과-결론(이하 BAMRC)의 순서로 많이 사용한다. 이 논문은 이러한 BAMRC 이동마디에 기초하여 사회과학분야의 논문 초록 중에서 나타나는 일정한 패턴을 분석 하여 연구한 것이다. 기존 연구와 달리 이 연구에 사용된 데이터베이스는 Scopus로 사회과학분야의 학술지 298개에서 467편의 초록을 샘플로 삼아 막대한 데이터를 사용하였다. 분석결과 이동마디가 넓은 범위에서 패턴을 나타내므로 결국 논문 초록에서 논문에 대한 정보를 얻는데 한계가 있는 것을 알 수 있다. 이 연구 결과, 기존에 있는 전통적인 사회과학 논문초록은 결국 이동마디가 없거나 다양한 이동마디의 패턴이 있어, 결국 논문초록 내에서 충분한 정보가 제공되지 않는다는 것을 보여준다. 따라서 기존 서술형식의 초록에 있는 이동마디들을 일정 양식을 따르는 초록으로 자동적으로 옮기는 것은 적합하지 않는 방법이며, 이러한 작업은 확인 절차를 밟을 것이 요구되므로 어려운 작업일 수 밖에 없다. 이 연구 결과를 토대로 추후에 진행되는 연구에서는 사회과학분야 논문 초록의 본질을 보다 구체적이고 정확하게 알아내기 위하여 사회과학 외의 다른 분야와도 비교하는 것이 도움이 될 것이다.

• 기본간호학회지
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• 제16권2호
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• pp.232-241
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• 2009

Purpose: The purpose of this study was to analyze the importance, difficulty, and frequency of work (duties and tasks) done by nurses' in Outpatient Departments (OPD). Method: Data were collected using structured questionnaires, which included 11 duties and 92 tasks making up the OPD nurse's job. Questionnaires were completed by 286 nurses. Each duty and task was analyzed for importance, difficulty, and frequency (range 1-3). Results: The mean score for importance was $2.58{\pm}0.29$, for difficulty, $2.11{\pm}0.31$, and for frequency, $2.18{\pm}0.31$. OPD nurses recognized 'patient education and consultation' as important and difficult. However, in practice OPD nurses reported the most frequent task as 'support for medical services'. There was a significant difference in importance and difficulty of duties according to OPD nurses' university degree (F=3.693, p=.026; F=4.089, p=.018) and hospital size (F=4.274, p=.006; F=3.154, p=.025). However there were no differences in importance, difficulty, or frequency according to clinical experience in OPD. Conclusion: The findings indicate that OPD nurses must be able to do important and difficult duties and tasks, especially patient education and consultation. To have time for these uniquely nursing tasks, OPD nurses need to delegate 'preparation for medical service', and 'management of facility and environment' to nonmedical health-care workers.

• 한국빅데이터학회지
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• 제6권1호
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• pp.161-178
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• 2021

'빅데이터'는 '21세기 원유'로 비유될 만큼 그 중요성이 증대되고 있다. 스마트시티에서 생성 및 수집되는 IoT 데이터의 경우 데이터의 품질이 공공서비스의 품질과 연관되므로 품질관리에 주의를 기울여야 한다. 그러나 ISO/IEC 기관 및 국내/외 여러 기관을 통해 제시된 데이터 품질 지표는 '사용자' 중심에 한정되어 있다는 한계점을 지닌다. 본 연구는 이러한 한계점을 보완하기 위해 공급자 중심의 지표와 그 우선순위를 도출하였다. 공급자 중심의 스마트시티 IoT 데이터 품질 평가지표 3개의 카테고리와 13개의 지표를 도출한 후 AHP 분석을 통하여 지표 카테고리와 데이터 품질 지표의 우선순위를 도출하였고 각 지표의 타당성을 조사하였다. 해당 연구를 통해 센서 데이터를 수집하고 취합하여 전달하는 직무를 수행하는 개인 혹은 기업에게 데이터가 지녀야 하는 기본적인 요건을 제시함으로써 센서 데이터 품질 향상에 기여할 수 있다. 또한 지표 우선순위를 기반으로 데이터 품질관리를 수행하여 품질관리 업무 효율의 향상을 제공할 수 있다.

• 한국치위생학회지
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• 제18권6호
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• pp.1067-1077
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• 2018

Objectives: The purpose of the study is to investigate the opinions of some local clinical dental hygienists on medical personnel of dental hygienists. It will be for provide the Future dental hygienist basic data necessary for medical personnel. Methods: A self-reported questionnaire was completed by 171 dental hygienists in Busan and Gyeongnam from December 1, 2017 to January 31, 2018. Structured questionnaires were uesd for analysis. The questionnaire consisted of general characteristics of the subjects(7 items), medical personnel necessity and opinions of dental hygienist(2 items), the opinions of distinction of the task between dental hygienists and other personnel(2 items), many frequency task in the dental clinic. The collected data were analyzed using frequency, percentage, descriptive statistics and ANOVA using IBM SPSS VER 20.0. Results: 89.5% of the dental hygienists required medical personnel of dental hygienist, the opinions on the necessity were as follows: 'role and quality improvement as oral health professionals', 'lack of legislation and application of dental hygienists duties'. There was no difference reason between dental hygienists and other personnel on duties, the reason were investigated to uncertainty of dental hygienist system, lack of dental hygienist workforce, dentists lack awareness of dental hygienist expertise. There was surveyed by the current many frequency duties in the dental clinic, assist for dental treatment, Oral health education and counselling, Preventive dental treatment. Conclusions: Legal guarantees for clinical dental hygienists work are absolutely required. Therefore, relevant government agencies and related organizations should resolve the contradiction of the legal system of medical law and medical technicians. The clinical dental hygienists should be promoted to medical personnel through the amendment of the medical law so that the duties practiced by the dental hygienist can be matched with the legal practice.

• 한국심리학회지 : 문화 및 사회문제
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• 제14권1호_spc
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• pp.487-518
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• 2008

본 연구는 새터민이 남한사회에 정착하여 생활하는 과정 속에서 겪는 사회문화적 갈등을 새터민의 관점에서 파악하고, 또한 남한사람들이 새터민에 대하여 어떠한 인식을 가지고 있고 새터민과의 관계에서 어떠한 갈등을 경험하는지를 파악하여, 이에 대한 질적 분석을 토대로 남북한주민간의 갈등을 가능한 한 예방하기 위한 문화통합교육의 중심이 되는 주제들을 도출하였다. 이십 세 이상 새터민 성인 남녀 28여명에게 반 구조화된 면접을 시행한 자료와 새터민을 접촉하는 남한사람들인 신변보호담당관들과 새터민 지원단체 자원봉사 교사들에게 집단면접조사를 시행한 자료를 사용하여 질적 분석을 실시하였다. 주요 내용을 범주화하고 주제별 코딩을 실시하여 나온 주제들 중에서 새터민과 남한주민의 문화통합교육을 구성하는 데 핵심적인 내용을 이루는 주제들을 선별해내었다. 이 연구는 새터민이 남한사회에 들어와서 남한사회의 문화와 가치관을 일방적으로 수용함으로써 사회 속에서 겪게 되는 갈등을 해결하고 적응한다는 관점에서 새터민의 문화갈등 문제를 다루기보다는 새터민으로 대표되는 북한 문화와 남한의 주류문화 간의 상호작용이라는 관점에서 새터민의 '문화통합' 문제를 다루었다.

• ETRI Journal
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• 제36권3호
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• pp.429-438
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• 2014

Semantic role labeling (SRL) is a task in natural-language processing with the aim of detecting predicates in the text, choosing their correct senses, identifying their associated arguments, and predicting the semantic roles of the arguments. Developing a high-performance SRL system for a domain requires manually annotated training data of large size in the same domain. However, such SRL training data of sufficient size is available only for a few domains. Constructing SRL training data for a new domain is very expensive. Therefore, domain adaptation in SRL can be regarded as an important problem. In this paper, we show that domain adaptation for SRL systems can achieve state-of-the-art performance when based on structural learning and exploiting a prior model approach. We provide experimental results with three different target domains showing that our method is effective even if training data of small size is available for the target domains. According to experimentations, our proposed method outperforms those of other research works by about 2% to 5% in F-score.

• 한국실내디자인학회논문집
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• 제24권1호
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• pp.207-215
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• 2015

It seems obvious that the spatial information of existing architectural heritage will be re-structured utilizing BIM technology. In the future to be able to implement such task, a new system of classification of spatial information, which fit to the structural nature of architectural heritage is necessary. This paper intend to suggest the conceptual model that can be the base of establishing new classification system for architectural heritage. For this study we reviewed researches related to classification system of architectural heritage (CS-AH) and BIM based architectural heritage (BIM-AH), first. As a result, we found that CS-AH is focused on building elevation and type, and BIM-AH is biased on the Library and Parametric Modeling. Second, we figured out a relationship between the CS-AH and BIM-AH. From this analysis, we found that BIM-AH is biased on Library and Parametric since the building elevation and type was focused on CS-AH. This review suggests a potential of the 3D CS-AH to expand the range of research for BIM-AH. At last, we suggest the three concept of classification are: 1)horizontality-accumulation relationship, 2)structure-infill relationship, 3)segment-member relationship. These three concept, together as one system of classification, could provide useful framework of new classification system of spatial information for architectural heritage.

• 품질경영학회지
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• 제34권2호
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• pp.129-135
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• 2006

In the advance of computer technology, it is possible to keep all the related informations for monitoring equipments in control and huge amount of real time manufacturing data in a data base. Thus, the statistical analysis of large data sets with hundreds of thousands observations and hundred of independent variables whose some of values are missing at many observations is needed even though it is a formidable computational task. A tree structured approach to classification is capable of screening important independent variables and their interactions. In a Six Sigma project handling large amount of manufacturing data, one of the goals is to screen vital few variables among trivial many variables. In this paper we have reviewed and summarized CART, C4.5 and CHAID algorithms and proposed a simple method of screening vital few variables by selecting common variables screened by all the three algorithms. Also how to develop a logistics regression model on a large data set is discussed and illustrated through a large finance data set collected by a credit bureau for th purpose of predicting the bankruptcy of the company.

• 디지털산업정보학회논문지
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• 제15권4호
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• pp.103-110
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• 2019

A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

• 대한간호학회지
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• 제50권1호
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• pp.1-13
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• 2020

Purpose: The purpose of this study was to construct and test a structural equation model on nursing work outcomes based on Youssef and Luthans' positive psychological capital and integrated conceptual framework of work performance. Methods: This study used a structured questionnaire administered to 340 nurses. Data were analyzed using structural equation modeling. Results: Positive psychological capital showed indirect and direct effects on job satisfaction, retention intention, organizational citizenship behavior, and nursing performance. While, the nursing work environment had direct and indirect effects on job satisfaction and nursing performance, it only had indirect effects on intention to work and organizational citizenship behavior. Additionally, a mediating effect on retention intention and organizational citizenship behavior was found between job satisfaction and nursing performance variables. Conclusion: The nursing organization needs to build a supportive work environment and reinforce positive psychological capital to improve nursing performance. Additionally, it needs to actively manage the necessary parameters involved in the stages of job satisfaction, retention intention, nursing performance, and organizational citizenship behavior of nurses. The findings propose the continuous management of nursing personnel based on nurses' attitude outcome, behavioral intention, behavioral outcome, and stage of role performance.