• 한국정보과학회논문지:정보통신
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• 제28권4호
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• pp.570-577
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• 2001

이동 네트워크 상에서의 인터넷 서비스가 활성화됨에 따라 이동 호스트에 대한 인증 및 비밀성이 요구되었고, 이동 호스트의 이동성에 따른 익명성 및 불추적성이 중요한 고려사항이 되었다. 본 논문에서는 이동 호스트가 도메인간을 이동하면서 노출될 수 있는 이동 호스트의 Identity의 보호를 위해 사용자 Alias를 사용하였으며, 원격 도메인에도 Alias를 사용함으로 익명성 보장 및 불추적성을 지원한 안전한 인증 프로토콜을 제시한다. 본 논문에서는 안전성을 높이기 위해서 Alias 생성시 공개키 암호 시스템을 이용하였다.

• 한국자기학회지
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• 제20권2호
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• pp.68-74
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• 2010

핵자기공명은 물질 내부의 국소적인 스핀 환경에 대한 정보를 제공하기 때문에 자성체 연구에 대단히 유용하다. 자성체 내 이온의 원자가 혹은 자기모멘트, 스핀들의 기울어짐각, 오비탈 상태 등을 직접 측정할 수 있게 해주며 자성이온들의 위치나 자구와 자구벽의 변화 등에 대한 정보를 제공한다. 이렇게 정보를 제공할 수 있는 단순화된 원리를 적용사례를 들어 설명한다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.169-175
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• 2024

In this paper, we introduce a novel approach to enhance document security by integrating Computer Generated Hologram(CGH) encryption technology with a system for document encryption, printing, and subsequent verification using a smartphone application. The proposed system enables the encryption of documents using CGH technology and their printing on the edges of the document, simplifying document verification and validation through a smartphone application. Furthermore, the system leverages high-resolution smartphone cameras to perform online verification of the original document and supports offline document decryption, ensuring tamper detection even in environments without internet connectivity. This research contributes to the development of a comprehensive and versatile solution for document security and integrity, with applications in various domains.

• 한국컴퓨터정보학회논문지
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• 제24권1호
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• pp.121-128
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• 2019

An Internet of Things(IoT) technology which provides intelligent services by combining context-awareness based intelligences, inter-communication is made of between things and things or between things and person through the network connected with intelligent things is spreading rapidly. Especially as this technology is converged into smart device, mobile, cloud, big data technologies, it is applied into various domains. Therefore, this is different from existing Web or Mobile Application. New types of IoT applications are emerging by adapting IoT into Web or mobile. Because IoT application is not only focused on software but also considering hardware or things aspect, there are limitations existing development process. Existing development processes don't consider analysis and design techniques considering both hardware and things. We propose not only a meta-model for development process which can support IoT application's development but also meta-models for main activities in this paper. Especially we define modeling elements by using UML's extension mechanisms, provide development process, and suggest design techniques how to apply those elements into IoT application's modeling phase. Because there are many types of IoT application's type, we propose an Android and Arduino-based on IoT application as a case study. We expect that proposed technique can be applied into many of various IoT application development and design with a form of flexible and extensible as well as main functionalities or elements are more concretely described. As a result, it brings IoT application's flexibility and the effect of quality improvement.

• 기본간호학회지
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• 제9권1호
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• pp.7-15
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• 2002

Purpose: To analyze the learning objectives and test items for Fundamentals in Nursing which were established between 1999 and 2000 and to develop these items toward a nationwide faculty workshop for national board examination for Korean nurses Results: 1. According to Bloom's taxonomy, learning objectives established in 1999 mainly consisted of two domains, comprehension (56 1%) and knowledge (27.7%). The learning objectives established in 2000, mainly consisted of comprehension (45.2%) and application (25.4%). 2. According to McGuire's taxonomy, domain of test items established in 1999 consisted of recall (66.7%). interpretation (28.0%) and problem solving (4.9%). Domain of test items established in 2000, consisted of recall (65.1%), interpretation (22.0%) and problem solving (12.9%). 3. The proportion of learning objectives in the knowledge and comprehension domains established in 200, decreased from 27.7% to 13.5%, and from 56.1% to 45.2% respectively over that of 1999. But the domain of application Increased from 5.3% to 25.4% over that of 1999. 4. With regard to McGuire's taxonomy, the proportion for the recall and interpretation domains established in 2000 decreased from 66 7% to 65.1%, and from 28.0% to 22.0% respectively. But the proportion for the problem solving domain increased from 4.9% to 12.9% over that of 1999. For type of test items, the proportion of A type established in 2000 decreased from 47.2% to 37 6%, and K type increased from 52.1% to 60.8% over that of 1999. Conclusion: The learning objectives and test items established in 2000 showed remarkable improvement compared to those established in 1999. For better learning objectives and test items in Fundamentals of Nursing, further research is recommended on essential content and standardization of job analysis for national board examination for nurses in Korea.

• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.437-444
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• 2022

본 연구의 목적은 구글에서 개발한 어린이용 언어학습 애플리케이션인 Read Along 활용이 초등영어학습자들의 발음과 정의적 영역에 미치는 영향에 관해 살펴보는 것이다. 이를 위하여 6학년 영어학습자 24명이 4주 간의 실험 수업에 참여하였으며 주요 활동으로는 Read Along을 통한 읽기·말하기 학습이 진행되었다. 연구도구로는 사전-사후 영어발음 평가지와 정의적 영역 설문지가 활용되었으며 수집된 자료를 분석한 결과, 우선, Read Along 앱 기반 활동은 초등영어학습자들의 발음 유창성 및 정확성 향상에 있어 긍정적인 영향을 미친 것으로 나타났다. 실제 두 영역 모두 사전 대비 사후 평균값은 근소하게나마 향상되었으며 대응 표본 t-검정 결과에서도 통계적으로 유의미한 차이가 있는 것으로 나타났다. 둘째, Read Along 앱을 이용한 읽기 및 말하기 활동이 초등영어학습자들의 정의적 영역에 미치는 변화를 설문을 통해 살펴본 결과, 학습자들의 흥미도와 자신감 측면에 있어 긍정적인 변화를 보였다. 두 영역 모두, 사전 대비 사후의 평균이 각각 0.4점, 0.5점이 상승한 것으로 나타났으며 t-검정 결과 역시 유의미한 향상이 있는 것으로 드러났다. 다만 학습 태도면에 있어서는 사후에 소폭의 상승을 보이기는 하였으나 통계적으로 유의미한 차이를 드러내지는 않았다.

• 한국산학기술학회논문지
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• 제11권3호
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• pp.971-977
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• 2010

본 바이오데이터들이 홍수처럼 쏟아지면서 컴퓨터를 활용해 해결해야 할 많은 문제들이 야기되고 있다. 생체분자들과 연관된 정보들을 대량으로 분석하는 전산기술 응용분야인 생명정보학은 학제간 학문분야로서 현재 확고히 자리매김하고 있으며. 구조생물학, 유전체학, 단백질체학, 시스템 생물학, 생물통계학 및 전산학 등 광범위한 학문영역을 포괄한다. 본 총설에서는 생명정보학에 대한 최근 상황과 전반적인 응용분야에 대해 소개하고자 한다. 일반적으로 널리 사용되는 생명정보 및 바이오데이터베이스들의 유형을 살펴보고, 전산학 분야와 긴밀한 관계가 있는 몇가지 생명정보학 응용 분야들을 다루고자 한다.

• 한국멀티미디어학회논문지
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• 제11권7호
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• pp.940-955
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• 2008

동일한 도메인에 속하고 의미가 유사한 XML 문서들이라도 서로 다른 XML 스키마를 따르는 경우가 많다. 그러므로 XML 문서로부터 정보를 추출하고 통합하기 위해서는 의미가 유사한 XML 스키마들을 통합하는 방법이 필요하다. 본 논문은 동일한 도메인에서 사용되는 XML 스키마들을 의미를 정확하게 보존하면서 통합하는 방법을 제안한다. 제안된 방법은 사전과 함께 도메인 온톨로지를 이용하여 어휘 간 유의어 및 상하위어 관계를 검사하고 이를 스키마 통합 과정에 활용한다. 특히 본 논문은 엘리먼트 및 애트리뷰트가 갖고 있는 구조적 정보를 활용하여 유의어 및 상하위어 관계를 보다 정확하게 검사한다. 그리고 정교한 수준의 연산자 통합과 연산자 최적화 규칙을 제안한다. 제안된 방법의 성능을 평가하기 위해서 다양한 도메인의 XML 스키마를 대상으로 실험한 결과, 도메인 온톨로지와 제안된 방법의 어휘 간 구조적 관계를 이용할 경우 통합 스키마의 정확률과 재현율이 향상됨을 확인하였다.

• 대한원격탐사학회지
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• 제19권5호
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• pp.393-402
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• 2003

In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.

• Archives of Plastic Surgery
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• 제48권3호
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• pp.269-277
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• 2021

Background The Sunnybrook facial grading scale is a comprehensive scale for the evaluation of facial paralysis patients. Its results greatly depend on subjective input. This study aimed to develop and validate an automated Sunnybrook facial grading scale (SBface) to more objectively assess disfigurement due to facial paralysis. Methods An application compatible with iOS version 11.0 and up was developed. The software automatically detected facial features in standardized photographs and generated scores following the Sunnybrook facial grading scale. Photographic data from 30 unilateral facial paralysis patients were randomly sampled for validation. Intrarater reliability was tested by conducting two identical tests at a 2-week interval. Interrater reliability was tested between the software and three facial nerve clinicians. Results A beta version of the SBface application was tested. Intrarater reliability showed excellent congruence between the two tests. Moderate to strong positive correlations were found between the software and an otolaryngologist, including the total scores of the three individual software domains and composite scores. However, 74.4% (29/39) of the subdomain items showed low to zero correlation with the human raters (κ<0.2). The correlations between the human raters showed good congruence for most of the total and composite scores, with 10.3% (4/39) of the subdomain items failing to correspond (κ<0.2). Conclusions The SBface application is efficient and accurate for evaluating the degree of facial paralysis based on the Sunnybrook facial grading scale. However, correlations of the software-derived results with those of human raters are limited by the software algorithm and the raters' inconsistency.