• 한국초등과학교육학회지:초등과학교육
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• 제34권3호
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• pp.338-345
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• 2015

The purpose of this study is to analyze science fields and content elements of the science reports in a web portal site of Republic of Korea in view of scientific literacy. The main results of the analysis on the 679 reports sampled in a year are as follows. First, 506 reports in 46 fields were identified. Reports about technology and earth science occupies 16% respectively, and life science occupies 13%, medical science 4%, chemistry, company, others 3% and physics 1%. Almost reports show technology as associate field. Second, the frequency rate of reports including scientific literacy content elements is 52%. Reports related to 'physics' and 'chemistry' as dominant fields show relatively high rate in scientific literacy elements. The element, 'social context' is included in about 96% of the reports. Both 'data and statistics' and 'application' show relatively low rate and large gaps according to dominant fields. A few concluding remarks and proposals follow from these results. First, as almost science reports show the nature of integrated science, scientific literacy acquisition through science reports in internet requires the integrated scientific view. Especially most science reports includes the contents related to technology or medical science, so the point of view in the science-technological literacy is required. Second, the scientific literacy content elements in reports show various rates according to dominant fields. Therefore, science reports need to complement the deficient content elements to carry out the role of science reports as scientific literacy sources.

• 한국콘텐츠학회논문지
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• 제10권7호
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• pp.449-458
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• 2010

이러닝 품질관리는 정보화 시대의 교육에 대한 책무성의 하나로 양적 팽창 보다는 질적 강화를 위한 기본 방침으로 이해되어야 한다. 이에 본 연구는 해외에서 이루어지고 있는 이러닝 품질관리 동향 조사를 통해 우리나라의 이러닝 품질관리가 어떤 형태로 진행되어야 하는지에 시사점을 제공하고자 하였다. 따라서 5개 국가 9개 기관의 이러닝 품질관리 현황, 영역 및 대상, 지표의 쓰임 등에 대해 알아보고, 5개국의 이러닝 품질관리 특징을 분석하였다. 분석결과, 이러닝을 위한 다양한 자원 확보, 국가 수준의 이러닝 품질관리 통합, 전문가 양성 그리고 품질관리 시스템에 대한 집중과 선택이라는 시사점을 찾을 수 있었다. 즉, 이러닝 품질관리는 업무의 측면이 아닌 교육의 질적 향상이라는 범 국가적 차원에서 접근할 필요가 있음을 알 수 있었다.

• Archives of Plastic Surgery
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• 제45권5호
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• pp.395-402
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• 2018

Increased emphasis on competency-based learning modules and widespread departure from traditional models of Halstedian apprenticeship have made surgical simulation an increasingly appealing component of medical education. Surgical simulators are available in numerous modalities, including virtual, synthetic, animal, and non-living models. The ideal surgical simulator would facilitate the acquisition and refinement of surgical skills prior to clinical application, by mimicking the size, color, texture, recoil, and environment of the operating room. Simulation training has proven helpful for advancing specific surgical skills and techniques, aiding in early and late resident learning curves. In this review, the current applications and potential benefits of incorporating simulation-based surgical training into residency curriculum are explored in depth, specifically in the context of plastic surgery. Despite the prevalence of simulation-based training models, there is a paucity of research on integration into resident programs. Current curriculums emphasize the ability to identify anatomical landmarks and procedural steps through virtual simulation. Although transfer of these skills to the operating room is promising, careful attention must be paid to mastery versus memorization. In the authors' opinions, curriculums should involve step-wise employment of diverse models in different stages of training to assess milestones. To date, the simulation of tactile experience that is reminiscent of real-time clinical scenarios remains challenging, and a sophisticated model has yet to be established.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1571-1576
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• 2005

DCS has many processing components and various communication elements. And its communication delay characteristic is affected diverse operating situation and context. Especially, binding signal which traversed from one control-node to another control-node undergo all sort of delay conditions. So its delay value has large deviation with the lapse of time, and the measurement of delay statistics during long time is very difficult by using general oscilloscope or other normal instruments. This thesis introduces the design and implementation of PC-based BDAS(Binding Delay Analysis System) System developed to overcomes these hardships. The system has signal-generator, IO-card, data-acquisition module, delay-calculation and analyzer module, those are implemented on industrial standard PC/Ethernet hardware and Windows/Linux platforms. This system can detect accurate whole-system-wide delay time including io, control processing and network delay, in the resolution of msec unit, and can analyze each channel's delay-historic data which is maintained by realtime database. So, this system has strong points of open system architecture, for example, user-friendly environment, low cost, high compatibility, simplicity of maintenance and high extension ability. Of all things, the measuring capability of long-time delay-statistics obtained through historic-DB make the system more valuable and useful, which function is essential to analyze accurate delay performance of DCS system. Using this system, the verification of delay performance of DCS for nuclear power plants is succeeded in KNICS(Korea Nuclear Instrumentation & Control System) projects

• 한국경제지리학회지
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• 제15권2호
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• pp.228-239
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• 2012

꽌시는 개인을 중심으로 형성된 혈연, 학연, 지연 등을 토대로 일종의 공동체를 형성하여 개인의 이윤 보장 및 획득의 수단으로 활용하며, 더 나아가 공동체 구성원 간 상호 호혜적 관계를 기반으로 한 상호 책무적 관계인 일종의 '사회 경제 질서 양식'(mode of socio-economic order)을 형성한다. 실질적으로 꽌시에 대한 이해는 소비자의 소비 성향을 분석하기 위한 행위, 기업 간 거래, 기업과 정부 간 연계를 이해하는 핵심 요소이기 때문에 중국에서 효과적인 기업 활동을 위해서는 꽌시에 대한 이해와 수용의 태도가 절대적으로 필요하다. 이와 같은 맥락에서 본 연구는 중국 특유의 비공식적 사적 관계인 꽌시가 대 중국 한국 투자기업의 사업 행위에 끼치는 영향을 검증하기 위하여 대중국 한국 투자기업이 형성하고 있는 꽌시 기반의 네트워크를 분석하였다.

• Spatial Information Research
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• 제16권1호
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• pp.145-155
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• 2008

GIS의 활용을 극대화하고 효율적인 집행을 위해서는 실제 운영과정에서 나타나는 운영자 및 활용자의 개인 행태적 측면, 조직 문화, 제도적 문제에 대한 깊은 이해가 필요하다고 할 수 있다. GIS의 성공적 확산을 위해서는 GIS가 채택될 경우 나타나는 문제점, 도입과정의 주요 장애요인, 도입과정상의 절차, 관리자들의 영향력, 사용자의 활용도, 새로운 조직구조 등에 대한 많은 연구가 필요하다. 그러나 국가지리정보체계 기본계획이 수립된 이후 13년이라는 시간이 흘렀지만 GIS의 활용에 대한 기술적 지침서 이외에 실제 운영자들이 문제해결을 위해 참고하여야할 연구가 부족하다는 점은 연구방법의 난이함에서 그 원인을 찾을 수 있다. 이러한 관점에서 본 연구는 국가지리정보시스템의 효율적 활용을 위해서는 연구방법론적 측면에서 사례연구의 장점을 활용할 필요성이 높다는 점을 강조하는데 있다. 즉, 과학적 방법론의 주류적 흐름인 통계적 분석적인 방법으로부터 이단시 되거나 경시되어온 사례연구는 행정업무에 국가지리정보시스템을 도입하고 활용하는데 있어 유용성이 발휘 될 수 있다는 관점이다. 따라서 본 연구에서는 사례연구의 개념적인 측면이 아니라 방법론적인 측면에서 국가지리정보시스템의 활용할 수 있는 조건 및 유용성을 제시하는데 있다.

• 디지털융복합연구
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• 제8권1호
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• pp.93-107
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• 2010

본 연구는 소프트웨어 개발과 성과에 대한 연구를 조사하였다. 소프트웨어의 생산성과 품질 성과 크게 두 측면으로 조사되었다. 소프트웨어에 대한 기존 연구를 통하여 많은 연구들이 진행되어 왔지만 생산성과 품질에 대한 전체적인 영향요인을 포괄적으로 다룬 연구는 매우 적은편이다. 본 연구는 20개국에서 13년 동안 수행된 프로젝트의 성과를 대상으로 영향요인을 조사하였다. 영향요인은 다음과 같다. 소프트웨어 개발 형태, 개발 플랫폼, 개발 기술, 개발 언어, DBMS, 방법론, 방법론 획득 방식, CASE 툴, 총 개발투입 시간, 인적자원 참여 수준, 최대 팀 사이즈가 조사되었다. 본 연구결과 펑션 포인트, 코드 라인 수, 소프트웨어 결함(치명적, 중요, 작은)각 품질과 생산성을 대표하는 변수로 측정되었고 제시된 영향요인과 관련이 있음이 조사되었다. 따라서 소프트웨어 개발에 있어 성과와 품질에 영향을 미치는 요인들이 각각 틀리며 이와 같은 이유 때문에 개발에 참여한 소프트웨어 개발자들은 두 가지 측면에 요인을 균형있게 고려해야 할 것이다.

• 수산해양교육연구
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• 제27권4호
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• pp.1147-1159
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• 2015

The purpose of this study was to verify the analysis of level of importance and satisfaction in recognitions of elementary school students on useful classes among school sport clubs using Importance-Performance analysis. In order to achieve this objective, samples were taken by using convenience sampling method among non-probability sampling methods, and 384 data were used as the final valid samples for this study except 16 data with missing items or insincere responses. The results of frequency analysis, exploratory factor analysis, independent samples t-test, IPA analysis by using SPSS 20.0 were as follows. First, Iquadrant included education contents of enhance ability to ingenuity, teaching method of provides option, teaching method of encourage participation activity, education contents of the aspect of fun, evaluation of motor function and emotion, education contents of explains key contents easily, and education contents of understanding overall context. II quadrant included education environment of good sport facility, class environment of fair opportunity for activity, class atmosphere of arouses interest, and class atmosphere of autonomous and voluntary. III quadrant included diverse teaching method and instructor's demonstration, class atmosphere of systematic learning, evaluation of fairness, objectivity, and credibility, and an atmosphere that can exercise. IV quadrant included education contents of enable acquisition of knowledge and degree of improvement into consideration, and class atmosphere of trust and respect between instructor and student.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.312-318
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• 2021

Lack of knowledge and digital skills is a threat to the information security of the state and society, so the formation and development of organizational culture of information security is extremely important to manage this threat. The purpose of the article is to assess the state of information security of the state and society. The research methodology is based on a quantitative statistical analysis of the information security culture according to the EU-27 2019. The theoretical basis of the study is the theory of defense motivation (PMT), which involves predicting the individual negative consequences of certain events and the desire to minimize them, which determines the motive for protection. The results show the passive behavior of EU citizens in ensuring information security, which is confirmed by the low level of participation in trainings for the development of digital skills and mastery of basic or above basic overall digital skills 56% of the EU population with a deviation of 16%. High risks to information security in the context of damage to information assets, including software and databases, have been identified. Passive behavior of the population also involves the use of standard identification procedures when using the Internet (login, password, SMS). At the same time, 69% of EU citizens are aware of methods of tracking Internet activity and access control capabilities (denial of permission to use personal data, access to geographical location, profile or content on social networking sites or shared online storage, site security checks). Phishing and illegal acquisition of personal data are the biggest threats to EU citizens. It have been identified problems related to information security: restrictions on the purchase of products, Internet banking, provision of personal information, communication, etc. The practical value of this research is the possibility of applying the results in the development of programs of education, training and public awareness of security issues.

• Smart Structures and Systems
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• 제29권6호
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• pp.757-766
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• 2022

To train deep learning algorithms, a sufficient number of data are required. However, in most engineering systems, the acquisition of fault data is difficult or sometimes not feasible, while normal data are secured. The dearth of data is one of the major challenges to developing deep learning models, and fault diagnosis in particular cannot be made in the absence of fault data. With this context, this paper proposes an anomaly detection methodology for rotating machines using only normal data with self-labeling. Since only normal data are used for anomaly detection, a self-labeling method is used to generate a new labeled dataset. The overall procedure includes the following three steps: (1) transformation of normal data to self-labeled data based on a pretext task, (2) training the convolutional neural networks (CNN), and (3) anomaly detection using defined anomaly score based on the softmax output of the trained CNN. The softmax value of the abnormal sample shows different behavior from the normal softmax values. To verify the proposed method, four case studies were conducted, on the Case Western Reserve University (CWRU) bearing dataset, IEEE PHM 2012 data challenge dataset, PHMAP 2021 data challenge dataset, and laboratory bearing testbed; and the results were compared to those of existing machine learning and deep learning methods. The results showed that the proposed algorithm could detect faults in the bearing testbed and compressor with over 99.7% accuracy. In particular, it was possible to detect not only bearing faults but also structural faults such as unbalance and belt looseness with very high accuracy. Compared with the existing GAN, the autoencoder-based anomaly detection algorithm, the proposed method showed high anomaly detection performance.