• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.479-488
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• 2009

This paper shows a reinforced construction scheme of training data for improvement of text classification by automatic search of boundary category. The documents laid on boundary area are usually misclassified as they are including multiple topics and features. which is the main factor that we focus on. In this paper, we propose an automated exploring methodology of optimal boundary category based on previous research. We consider the boundary area among target categories to new category to be required training, which are then added to the target category sementically. In experiments, we applied our method to complex documents by intentionally making errors in training process. The experimental results show that our system has high accuracy and reliability in noisy environment.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.147-157
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• 2019

In this study, we focused on the experience of interpersonal trauma among university students majoring in counseling psychology to understand the meaning of the trauma they experienced, and analyzed the process of their growth as counselors. To that end, we conducted a survey on interpersonal trauma and post-traumatic growth, and interviewed final six students in a face-to-face interview, and analyzed the collected data using the method of qualitative case study. As a result, the trauma and subsequent growth experience have been categorized into 38 semantic units, 15 subcategories and 5 categories, including 'Times of pain', 'A life of dealing with complex emotions alone', 'An experience of understanding and being understood', 'Attempts to change and new meanings' and 'Worries and expectations of growth as a counselor'. The results of this study are meaningful in providing basic information and educational materials needed for the intervention of students majoring in counseling psychology who have experienced trauma.

• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.45-52
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• 2021

Although many studies have been conducted to identify unknown attacks in cyber security intrusion detection systems, studies based on outliers are attracting attention. Accordingly, we identify outliers by defining categories for unknown attacks. The unknown attacks were investigated in two categories: first, there are factors that generate variant attacks, and second, studies that classify them into new types. We have conducted outlier studies that can identify similar data, such as variants, in the category of studies that generate variant attacks. The big problem of identifying anomalies in the intrusion detection system is that normal and aggressive behavior share the same space. For this, we applied a technique that can be divided into clear types for normal and attack by discrete wavelet transformation and detected anomalies. As a result, we confirmed that the outliers can be identified through One-Class SVM in the data reconstructed by discrete wavelet transform.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.57-69
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• 2022

This study is a qualitative study attempting to understand the experiences of blended learning of curriculum of fundamental nursing practice under the COVID-19. In the present study participated with 18 nursing students, data was collected through focus group interviews, the blended class was organized until 14^th week by configuring a non-face-to-face e-Learning for the odd week and the face-to-face practice for the even week, and the collected data was analyzed using content analysis methods. As a result of analysis, a total of 250 significant statements were derived, the statements being analyzed based on eight subcategories, four upper categories, and two subjects. The derived four upper categories were "maladjustment to a sudden change in teaching method," "lowering of learning efficiency and confusion during class," "ambivalence toward online class," and "positive experience for a new learning method." The present study would be able to provide the basic data for developing a blended, learning operating program and applying to various practice-based curriculum by providing useful information relating to the blended learning class for the fundamental nursing practice for nursing students in the on-tact era.

• Journal of the Korean Society of Radiology
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• v.84 no.1
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• pp.34-50
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• 2023

In 2019, the American College of Radiology announced Lung CT Screening Reporting & Data System (Lung-RADS) 1.1 to reduce lung cancer false positivity compared to that of Lung-RADS 1.0 for effective national lung cancer screening, and in December 2022, announced the new Lung-RADS 1.1, Lung-RADS^Ⓡ 2022 improvement. The Lung-RADS^Ⓡ 2022 measures the nodule size to the first decimal place compared to that of the Lung-RADS 1.0, to category 2 until the juxtapleural nodule size is < 10 mm, increases the size criterion of the ground glass nodule to 30 mm in category 2, and changes categories 4B and 4X to extremely suspicious. The category was divided according to the airway nodules location and shape or wall thickness of atypical pulmonary cysts. Herein, to help radiologists understand the Lung-RADS^Ⓡ 2022, this review will describe its advantages, disadvantages, and future improvements.

• Journal of The Korean Association For Science Education
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• v.28 no.1
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• pp.100-110
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• 2008

To evaluate the educational programs at Science Education Center for the Gifted (SECG) on how it had influenced its graduates, we have surveyed the graduates with questionnaires categorized into four sections: scientific motivation, self-confidence, knowledge/inquiry activities, and peer-to-peer interactions. Of the graduates who studied at SECG for more than two years and are currently attending college, we questioned 26 students and interviewed 10 students. According to our research data, most students evaluated highly the quality of education they received at SECG; especially, in the areas of science knowledge/inquiry activities and social interactions with their peers. Based on the results from the interviews, for these gifted students with highly developed aptitude in science, we concluded that interactions with real-world scientists, investigative approach to and application of newly-learned scientific concepts, and emphasis on interactive activities with other gifted students at SECG were regarded as effective in promoting motivations towards science and self-confidence.

• Digital Contents Society Review
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• v.3 no.1
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• pp.3-9
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• 2007

본 논문에서는 21세기 지식산업사회가 도래하면서 우리 사회에 가장 광범위한 변화를 몰고 온 인터넷을 기반으로 한국 애니메이션 산업의 현황과 미래에 대한 전망을 가늠 하고자 한다. 여기에는 최근 인터넷의 핵심 개념으로 떠오르고 있는 웹2.0을 재조명하여 새로운 미디어의 범주 안에서 애니메이션의 시대적 변화와 새로운 가능성을 살펴보고 디지털콘텐츠산업으로 재편되고 있는 국내외 애니메이션 동향을 살핌으로써 국내 애니메이션의 가치를 새롭게 창출하고자하는 의미도 포함되어 있다. 여기서 좀 더 주목하여 웹2.0의 개념을 국내 애니메이션 산업으로 의 적극적인 전이를 일으키기 위해서는 보다 구체적인 솔루션, 프로세스, 툴에 대한 개발이 보완되어야 할 것이다.

• The Journal of Information Systems
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• v.8 no.2
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• pp.49-67
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• 1999

본 연구는 객체지향 기술채택에 영향을 미치는 요인을 조사했다. 한가지의 중요한 연구 의문을 제시했다: 무엇이 객체지향 기술의 채택에 중요하게 영향을 미치는가? 본 연구는 객체지향 기술의 실제 사용정도에 영향을 주는 독립변수를 연구했다. 그 독립변수는 다음과 같은 세 가지 범주로 분류된다: (1) 개인적 요인: 구조지향 방법론을 사용한 경험, 새로운 기술에 대한 개방 정도: (2) 관리적 요인: 경영층의 지원 정도, 훈련, (3) 조직적/환경 요인: 부서와 조직에 있는 정보시스템 전문가의 수, 기술 챔피언에 대한 접근 용이성, 객체지향 기술을 지원하는 소프트웨어 및 하드웨어 환경. 설문지를 이용하여 위에서 언급된 독립변수들이 하나의 독립변수, 즉 객체지향 기술의 실제 사용정도에 미치는 영향을 조사하였다. 그 구조화된 설문지가 미국에 있는 DPMA(Data Processing Management Association)에 소속된 정보시스템 전문가에게 돌려졌다. 본 연구는 기존의 연구 결과와 일치하는 중요한 내용을 보여 주었다. 새로운 기술에 대한 개인의 개방성, 경영층의 지원정도, 훈련, 그리고 하드웨어 및 소프트웨어 환경은 객체지향 기술의 사용과 밀접한 관련이 있었다. 본 연구는 또 조직에서의 객체지향기술의 초기 채택을 이해하는 실증적인 근거를 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.538-540
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• 2004

인간과 컴퓨터가 상호작용하는 인터렉티브 시스템은 오랫동안 컴퓨터 발전의 한 방향으로 인식되어 왔다. 그 일례로 영화에서 사용자가 소형 단말기를 통해 이동 중에 컴퓨터와 대화하여 그가 원하는 정보를 얻거나 미디어 데이터를 감상하는 것이 있다. 이러한 시스템으로의 발전을 위해 본 연구에서는 소형 단말에서 사용자와 인터렉션하기 적합한 시스템을 설계 일 구현하였다. 연구는 크게 보아 세 가지 방향으로 나뉘는데 첫째는 인터렉티브 미디어 데이터를 저작하기 위한 새로운 마크업 언어(IML)의 개발이며 둘째는 이렇게 저작된 컨텐츠를 이동 단말기에 전달하여 재생하기에 최적화된 형태로 변환시켜주는 IML Translator, 셋째는 이렇게 전달된 미디어 데이터를 재생 시켜줌과 동시에 사용자와 새로운 인터렉션을 받아들일 수 있는 IM Player이다. 앞에서 언급한 세 가지 범주에서 연구를 진행하였고 결과물을 준비하였다.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.83-92
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• 2017

The purpose of this study to investigate about the structure of Nursing students' thinking about job. The phenomenology study design and Giorgi method were used for this analysis. The subjects were 10 people between undergraduate 20-30 years of age and were interviewed over a total of four times. The result of this study were as follow; there were 3 structures and 14 factors such as "the better life" "future" "make a living" "affect to own family" "new starting" "independent" "closely relationship" "depth information that is self-learning" "proportion between class and job" "integrated learning manual are required" "job competition is little hard" "much in demand and various sectors" "hard and difficult nursing licence examination" "the hope of the more better life". According to the results of this study, nursing students' thinking about job were 3 structures which were the impact of employment, practical training necessary and hard but withstand. Therefore through this study appropriate education research and objective including practical contents practice manual development are suggested.