• Asia pacific journal of information systems
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• 제22권1호
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• pp.1-27
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• 2012

Asynchronous Learning Networks (ALN) has become a kind of prevalent information systems to supplement or even substitute a traditional classroom face-to-face teaching method. In this paper, we investigate the impacts of types of courses, lecturers' instruction models and computer self-efficacy on the ALN effectiveness in teaching from lecturers' perspective. We conducted survey to professors in various faculties such as School of Computing, Faculty of Arts, Science, Business, Law and Engineering in the National University of Singapore. According to the responses from ninety-eight professors, instruction modes positively influence the usage of ALN; types of course and lecturers' computer-efficacy influence lectures' satisfaction of ALN in teaching. Both the usage of ALN and satisfaction of ALN positively influence the effectiveness of ALN. The results of this study fill the gap of ALN researches in education by examining it from lecturers' perspective and enable schools to improve their implementation of ALN systems based on our findings.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2005년도 추계학술대회 논문집
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• pp.143-146
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• 2005

The objective of this study is to provide new direction on house design in consideration of the user's life pattern. To this end, pc usage status at home, demand for pc using space, and requirements for pc room interior were analyzed. A survey was taken by parents and the SPSS win.10 was applied for analysis. The survey was conducted for 2 months, starting May 2004 to see the computer usage at home, demand and satisfaction for the computer's room. The results of this study were as follows; The oldest son or daughter in a family was the main user of the computer, posting 71%. 42percent of respondents said they used the pc in their son's and daughter's room while 36% answered living room. It reflects that the whole family want to use the pc in their sharing room, or for their children's convenience. Currently, inconvenience of space-related constraints for using the pc was not that high, which possibly stems from a lack of awareness of inconvenience in using the pc. However, the need for furniture and space for refreshment was suggested. Through this study, it is expected that new housing designs need to be made to reflect these requirements into interior design and building plan for user's convenience.

• 대한간호학회지
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• 제25권4호
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• pp.617-632
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• 1995

Nowadays, most big hospitals have a computer system to manage their administration. For maxi mum effectiveness in managing the computer system, an analysis of the variables affecting its implementation is necessary from the beginning. This study was done to analyze the variables influencing the operation of a hospital information system (HIS). The theoretical base for this study considered the combined effects of user expectations of computerization, and computer-anxiety. The relationship between variables in the theoretical base were analyzed and the individual characteristics influencing each variable were also analyzed. This study was done in two steps. First, 344 nurses were given an initial questionnaire developed to evaluate the reliability of the items. Based on the results, a second revised questionnaire was administered to 88 nurses who had been working in the areas where HIS was applied. The results of the first and second steps of the study are as follows 1. The initial study was done with nurses who were trained on the computer system briefly before HIS was implemented. The individual characteristics influencing computer anxiety and expectation regarding computer system usage in that initial study included, length of career, type of degree or certification, previous experiences with a computer, training on a computer, desire for computer training, and level of acceptance of a computerized work environment. But in the second study with nurses working in areas of the hospital where HIS was introduced, the work site was the only influencing characteristics. There-fore, in applying a computer system, overcoming work-environment barriers will be more import-ant than any individual characteristics. 2. The computer anxiety of the nurses in both groups, before and after the computer system ap-plication, was below the average level but the expectation of the effects of computerization was above average. The nurses using the computer program showed an above average level of satis-faction with the computer system itself, and with its effect on their efficiency. Therefore, the ability of nurses operating HIS will be positively. predictive. 3. For the variables included in the theoretical framework of the study, all of the correlational coefficients were statistically significant in the analysis of variation correlation. Therefore, the theoretical base of the study, "expectation in con junction with computer anxiety" can be considered an model which can be evaluated. Accord-ing to our analysis, the higher the level of nurses' motivation to use the computer system and the lower the anxiety about computer usage, the higher the possibility of computer system acceptance by nurses. The results of this study showed that in applying a computer system in the hospital, the main characteristic influencing acceptance was where the individual worked rather than personal characteristics such as length of career, type of degree or certification, and previous experiences with a computer. Therefore, it is suggested that the first step in uncovering and eliminating hindrance factors in ap-plication of a computer system should be an analysis of working conditions in relation to the functional content of the computer system. The suitability of the theoretical model based on the hypothesis ap-plied in this study should be further tested.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.214-222
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• 2022

Convolutional Neural networks (CNNs) are a category of deep learning networks that have proven very effective in computer vision tasks such as image classification. Notwithstanding, not much has been seen in its use for remote sensing image classification in developing countries. This is majorly due to the scarcity of training data. Recently, transfer learning technique has successfully been used to develop state-of-the art models for remote sensing (RS) image classification tasks using training and testing data from well-known RS data repositories. However, the ability of such model to classify RS test data from a different dataset has not been sufficiently investigated. In this paper, we propose a deep CNN model that can classify RS test data from a dataset different from the training dataset. To achieve our objective, we first, re-trained a ResNet-50 model using EuroSAT, a large-scale RS dataset to develop a base model then we integrated Augmentation and Ensemble learning to improve its generalization ability. We further experimented on the ability of this model to classify a novel dataset (Nig_Images). The final classification results shows that our model achieves a 96% and 80% accuracy on EuroSAT and Nig_Images test data respectively. Adequate knowledge and usage of this framework is expected to encourage research and the usage of deep CNNs for land cover mapping in cases of lack of training data as obtainable in developing countries.

• 동력기계공학회지
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• 제15권4호
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• pp.60-64
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• 2011

Computer-aided engineering (CAE) is the broad usage of computer software to aid in engineering tasks. It includes computer-aided design (CAD), computer-aided analysis (CAA), computer-integrated manufacturing (CIM), computer-aided manufacturing (CAM), material requirements planning (MRP), and computer-aided planning (CAP). In this study, the stress of mold analyzed using CAE technique. Punch loads were same difference between 0.5 % and 1.0 % of clearance, but punch load was decreased according to increasing of clearance. Punch load of pre-piercing process worked a little smaller than piercing process. Therefore, the hole of fine blanking process is also more efficient to manufacture the true size after pre-piercing.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.44-48
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• 2023

Augmented Reality (AR) is an emerging technology and a vibrant field, it has become common in application development, especially in smartphone applications (mobile phones). The AR technology has grown increasingly during the past decade in many fields. Therefore, it is necessary to determine the optimal approach to building the final product by evaluating the performance of each of them separately at a specific task. In this work we evaluated overall CPU and RAM performance for several types of Markerless Augmented Reality applications by using a multiple-objects in mobile development. The results obtained are show that the objects with fewer number of vertices performs steady and not oscillating. Object was superior to the rest of the others is sphere, which is performs better values when processed, its values closer to the minimum CPU and RAM usage.

• 한국컴퓨터정보학회논문지
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• 제16권1호
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• pp.153-161
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• 2011

본 연구는 정보시스템이 조직에 수용된 후의 이용단계에서 사용자의 성격유형이 지속적인IS 사용의도에 중요한 영향요인들 중 하나임을 추론하였고, 개인의 성격유형판별지표인 MBTI에 근거한 IS 사용자 성격유형에 따라 IS의 지속적인 사용의도의 수준이 어떻게 다른지를 실증적으로 규명하고자 하였다. 본 연구에서 도출된 연구모형과 가설을 검증하기 위해 330명의 IS 실무 사용자를 대상으로 설문조사를 실시하였고, 이에 의해 수집된 자료를 바탕으로 통계분석을 실시하였다. 실증분석 결과, 정보시스템 수용후 단계에 있어서 사용자의 지속적인 사용의도는 IS에 대한 자기효능감에 의해 영향을 받고, 자기효능감은 자기주도성에 의해 영향을 받으며, 자기주도성은 사용자 성격유형과 IS에 대한 기대일치수준에 의해 영향을 받는 것으로 나타났다. 즉, 사용자 성격유형과 3가지 매개변수들(기대일치, 자기주도성, 자기효능감)은 사용자의 지속적인 IS 이용의도의 중요한 에측변인들임이 밝혀졌다. 본 연구결과는 정보시스템 수용 후의 단계에서 IS 성공요인을 규명하는데 대한 이론적 근거를 제공할 뿐 아니라, 조직내 정보시스템의 구축 운영과 관련한 인사관리 업무수행에 있어서 실무적 가이드라인을 제공하는데 기여할 수 있을 것으로 본다.

• 감성과학
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• 제18권2호
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• pp.65-74
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• 2015

본 연구에서는 현대 사회의 주요 흐름인 '발전과 진화'의 방향성에서 한발 물러나, '지우는' 경험과 그 감성에 대한 연구 가능성을 탐색하고자 하였다. 이를 위해, 지금까지 많은 주목을 받지 못한 키워드인 지우는 경험에 대한 통합적 문헌조사를 우선적으로 수행하였으며, 이를 토대로 실제 사용자들을 대상으로 하는 맥락 질문법을 진행하였다. 맥락 질문법의 경우, 아날로그적인 연필-지우개 사용맥락, 디지털의 대표적인 맥락인 컴퓨터-키보드 사용맥락, 마지막으로 최근 활발한 활용을 보이는 Tablet PC 사용맥락에 따른 사용자들을 모집한 후, 각각의 사용맥락에 대한 In-depth한 정성적 인터뷰 및 정량적 자료 수집을 진행하였다. 결과적으로, 지우는 맥락에서는 특정 내용을 잘 지워내는 상황적 효용뿐만 아니라 이를 수행하는 사용자에게도 정서적으로 만족스러운 경험을 제공해야함을 확인할 수 있었다. 해당 연구에서 진행된 탐험적 시도 및 실증적 결과들은 향후 연구들에 대한 학술적 접근과 함께 실용적 관점에서의 디자인 함의를 제공할 수 있을 것으로 기대된다.

• 한국컴퓨터정보학회논문지
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• 제19권9호
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• pp.11-19
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• 2014

본 논문에서는 클라우드 컴퓨팅 기반의 N-스크린 서비스를 위한 실시간 동영상 트랜스 코딩 기법을 제안한다. 이 기법은 동영상을 분할하여 하나의 인트로 블록과 재생 블록을 생성한다. 그리고 최초 서비스 요청이 오면 인트로 블록을 전송한 후 재생 블록들을 실시간으로 트랜스 코딩하여 전송한다. 이때 각 블록의 재생시간 내에 트랜스 코딩을 완료하기 위해 각 노드의 성능에 따라 재생 블록을 분할하여 할당한다. 또한, 기존 동영상 재생 기법은 실시간 재생 서비스를 위해 모든 포맷과 화질로 동영상을 변환하였다. 하지만 본 논문에서 제안한 기법은 클라이언트의 디바이스와 플랫폼에 적합한 화질의 포맷으로 동영상을 변환함으로써 기존 동영상 재생 기법에 비해 스토리지 사용량을 줄인다. 본 논문에서는 시뮬레이션을 통하여 제안한 동영상 재생 기법이 기존의 기법에 비해 N-스크린 서비스를 위한 실시간 동영상 재생에 효과적임을 보인다. 또한, 제안한 동영상 트랜스 코딩 기법이 기존 방법에 비해 스토리지 사용량이 적음을 보인다.

• 한국컴퓨터정보학회논문지
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• 제17권1호
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• pp.11-17
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• 2012

스마트TV의 보급이 확대되면서 스마트TV의 여유연산능력을 활용한 그리드 컴퓨팅시스템에 대한 수요가 증가할 것으로 예측하고 있다. 그러나 스마트TV는 PC와 달리 다양한 플랫폼이 존재하고, 또한 사용자들의 스마트 TV사용 패턴이 기존 PC 사용 패턴과 크게 다르기 때문에 PC기반의 그리드 시스템을 적용하기에는 어려움이 있다. 즉, 유휴 상태에서 동작하던 기존 그리드 에이전트가 스마트TV 환경에서는 동작할 기회를 보장 받을 수 없는 상황이 된 것이다. 본 논문에서는 이러한 문제를 극복하기 위하여 스마트TV에 적합한 자바스크립트 기반의 그리드 시스템 및 콘텐츠 시청 중에 남는 CPU자원을 활용하는 에이전트 스케줄링 정책을 제안하고 구현하였다. 그리고 기존 그리드 방식과 제안하는 방식을 비교 실험하여, 그 결과 기존의 그리드가 0.09%, 제안하는 방식은 평균 1.78%의 자원을 제공함을 보였다.