• 한국의상디자인학회지
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• 제20권4호
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• pp.83-94
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• 2018

This study surveyed 255 college students enrolled in beauty contract departments located in Seoul(5 schools) and Gyeonggido(6 schools) to investigate their admission support procedure and educational satisfaction. The study found as follows; Data collection was performed from March 25 to May 30, 2018 using SPSS WIN 21.0 for their statistical processing. With respect to data analysis, first, frequency analysis was conducted to look at the general characteristics of the subjects. Second, the admission support procedure of beauty contract department was investigated and cross analysis was performed to see if there was any change according to the subjects' general characteristics. As a result of looking at the awareness on department, 89% were found to be aware of the contract department system. As for their motivation to applying for the department, the largest reasons were found to obtain a degree and to become a hair designer within a short period of time. The most frequent route of application was a recommendation by their high school teachers. The highest priority consideration in choosing a department was the brand awareness of an associated industrial entity. With respect to the complementation education in curriculum, practical technique related to the major was found the highest. 66.7% said they would recommend the department when it comes to the intention to recommend the department. 24.0% were found satisfied with the education regarding educational satisfaction. Therefore, in order to improve the educational satisfaction of the contract department, it is necessary to acquire knowledge of the field technique and practical salon education.

• 공학교육연구
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• 제21권3호
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• pp.56-65
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• 2018

With rapid advance of technologies including information and communication technologies, jobs are evolving faster than ever. Architectural engineering is no exception in this regard, and the green architectural engineering is emerging fast as a promising new field. In this study, a Delphi study of expert architectural engineers are conducted to find out (1) near future prospects of the field, (2) near future emerging jobs, (3) competencies needed for these jobs, and (4) educational content necessary to build these competencies with regards to the green architectural engineering. Initial Delphi survey consisting of open-ended questions in the above four areas were conducted and came out with 65 items after duplicate removal and semantic refinements. Further refinements via second and third wave of Delphi results into 40 items that the 13 architectural engineering experts may largely agree upon as future prospects with regards to the green architectural engineering. Findings indicate that it is expected that the demand for green architectural engineering and needs for automatic energy control system increase. Also, collaborations with other fields is becoming more and more important in green architectural engineering. The professional work management skills such as knowledge convergence, problem solving, collaboration skills, and creativity linking components from various related areas seem to also be on the increasing need. Near future ready critical skills are found to be the building environment control techniques (thermal, light, sound, and air), the data processing techniques like data mining, energy monitoring, and the control and utilization of environmental analysis software. Experts also agree on new curriculum for green building architecture to be developed with more of converging subjects across disciplines for future ready professional skills and experiences. Major topics to be covered in the near future includes building environment studies, building energy management, energy reduction systems, indoor air quality, global environment and natural phenomena, and machinery and electrical facility. Architectural engineering community should be concerned with building up the competencies identified in this Delphi preparing for fast advancing future.

• 한국축산식품학회지
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• 제39권4호
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• pp.541-554
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• 2019

Processed cheeses (PCs) were made under varying cooking pH values (5.3, 5.4, 5.5, and 5.6) using a processed cheese cooker. Along with emulsifying salts (2.5%), distilled water, NaCl (2%) and a colouring agent under these cooking pH values, the PC samples made with either 100% fresh curd and rennet casein coded processed cheese control ($PC_C$) as control or ~70% fresh curd-~30% traditional village cheese coded processed cheese with village cheese ($PC_V$). The main aim of this study was to determine the effect of the varying cooking pH values on the textural properties for the PCv samples compared with the control sample during 90 days of storage. Chemical and textural properties of all PC samples were investigated over time. The chemical compositions of the PC samples (dry matter and ash) increased at d 90 of storage significantly, due to 1-d ripening of all PC samples at ambient temperature in terms of the manufacturing protocol of the cheese. The textural properties of the PC samples were altered by the varying cooking pH values. It may propose that the interactions of the proteins at the cooking pH values during processing and biochemical mechanisms in the cheese systems could likely affect the texture of the PC samples over time. Hardness, gumminess and chewiness values of all PC samples also increased over time (p<0.05). This study is also to give some knowledge on the design of PC manufacture to cheese makers, and a marketing opportunity to local cheese makers who individually make a traditional village cheese in Turkey.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.171-180
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• 2021

Currently, hospitals and medical practices have a large amount of unstructured information, gathered in time at each ward or practice by physicians in a wide range of medical branches. The data requires processing in order to be able to extract relevant information, which can be used to improve the medical system. It is useful for a physician to have access to a patient's entire medical history when he or she is in an emergency situation, as relevant information can be found about the patient's problems such as: allergies to various medications, personal history, or hereditary collateral conditions etc. If the information exists in a structured form, the detection of diseases based on specific symptoms is much easier, faster and with a higher degree of accuracy. Thus, physicians may investigate certain pathological profiles and conduct cohort clinical trials, including comparing the profile of a particular patient with other similar profiles that already have a confirmed diagnosis. Involving information technology in this field will change so the time which the physicians should spend in front of the computer into a much more beneficial one, providing them with the possibility for more interaction with the patient while listening to the patient's needs. The expert system, described in the paper, is an application for medical diagnostic of the most frequently met conditions, based on logical programming and on the theory of probabilities. The system rationale is a search item in the field basic knowledge on the condition. The web application described in the paper is implemented for the ward of pathological anatomy of a hospital in Romania. It aims to ease the healthcare staff's work, to create a connection of communication at one click between the necessary wards and to reduce the time lost with bureaucratic proceedings. The software (made in PHP programming language, by writing directly in the source code) is developed in order to ease the healthcare staff's activity, being created in a simpler and as elegant way as possible.

• 기록학연구
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• 제67호
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• pp.99-138
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• 2021

빅데이터 시대에 정형데이터 뿐만 아니라 비정형데이터를 분석하는 것이 중요한 과제로 대두되고 있다. 정부기관이 생산하는 공문서도 텍스트 기반의 대형 비정형데이터로 빅데이터 분석의 대상이 된다. 기관 내부의 업무효율, 지식관리, 기록관리 등의 관점에서 공문서 빅데이터를 분석하여 유용한 시사점을 도출해 나가야 할 것이다. 그러나, 현재 공공기관이 보유 중인 공문서의 상당수가 개방포맷이 아니어서 빅데이터 분석을 하려면 비트스트림에서 텍스트를 추출하는 전처리 과정이 요구된다. 또한, 문서파일 내에 맥락 메타데이터가 충분히 저장되어 있지 못하여 품질 높은 분석을 하려면 별도의 메타데이터 확보 노력이 필요하다. 결론적으로 현재의 공문서는 기계가독(machine readable) 수준이 낮아 빅데이터 분석에 비용이 많이 들게 된다. 이 연구에서는 향후 공문서가 기계가독 수준을 높이기 위해서는 공문서의 개방포맷화, 기안문 서식의 표준태그화, 자기 기술(self-descriptive) 메타데이터 확보, 문서 텍스트 태깅 등이 선행될 필요가 있다는 점을 제안한다. 첫째, 문서가 스스로를 설명하기 위해 추가되어야 하는 메타데이터 항목들을 제시하고 이 메타데이터들이 기계가독형이 되도록 문서파일에 저장하는 방법을 제안한다. 둘째, 문서 내용 분석 시 자연어 처리에만 의존하지 않고 행정 맥락에 따라 중요한 키워드를 미리 국제표준 태그로 마킹하여 기계가독형이 되도록 하는 방안을 제안한다.

• 한국정보통신학회논문지
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• 제24권2호
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• pp.166-171
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• 2020

데이터를 저장하고 분석하여 새로운 지식을 얻을 수 있는 빅데이터 처리기술은 사회의 여러 분야에서 중요성이 강조되고 있으며 정보통신기술 분야의 핵심 이슈로 부각되면서 관련 기술에 대한 관심이 증가하고 있다. 이러한 빅데이터를 분석할 수 있는 도구인 R은 통계 기반의 정보 분석을 가능하게 하는 언어와 환경이다. 본 논문에서는 이를 이용하여 성경데이터를 분석한다. 성경 중에서 신약성경의 4복음서의 데이터를 분석한다. 먼저 성경데이터를 수집하고 분석을 위한 필터링을 수행한다. 이후 R을 이용하여 어떠한 텍스트가 분포되어 있는지를 빈도 조사를 수행하며 정확한 데이터의 분석을 위해 한 문장에서 나오는 단어들을 쌍으로 표현하고 단어 간의 관계성을 분석하는 소셜 네트워크 분석을 통해 성경을 분석한다.

• 정보보호학회논문지
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• 제20권5호
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• pp.59-67
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• 2010

본 논문에서는 유비쿼터스 컴퓨팅 환경에서 내부자가 합법적인 권한을 이용하여 불법적인 정보 유출 행위를 차단하는 접근통제 모델 IM-ACM(Insider Misuse-Access Control Model)을 제안하였다. IM-ACM은 상황역할과 개체의 보안속성을 활용하여 보안성을 강화시킨 CA-TRBAC(Context Aware-Task Role Based Access Control)에 오용 모니터 기능을 추가하여 내부자가 데이터를 올바르게 사용하는지 감시한다. 내부자에 의한 정보 유출은 합법적인 접근권한, 접근시스템에 대한 풍부한 지식 등의 내부자의 특성으로 인해 차단하기가 곤란하다. IM-ACM은 CA-TRBAC의 장점인 상황과 보안속성을 이용하여 서로 상이한 보안등급의 객체간 정보 흐름을 방지하고 오용 모니터를 활용하여 내부자의 실제 진행 프로세스를 최근 역할, 직무와 작업 프로세스 패턴 프로파일과 비교하여 내부자의 오용행위을 차단한다.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.212-220
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• 2021

The objectives of this research were to identify the digital competencies required for information science specialists at Saudi universities and to examine whether there existed conspicuous differences in the standpoint of these specialists due to years of work experience with regard to the importance of these competencies. A descriptive analytical method was used to accomplish these objectives while extracting the required digital competency list and ascertaining its importance. The research sample comprised 24 experts in the field of information science from several universities in the Kingdom of Saudi Arabia. The participants in the sample were asked to complete a questionnaire prepared to acquire the pertinent data in the period between January 5, 2021 and January 20, 2021. The results reveal that the digital competencies required for information science specialists at Saudi universities encompass general features such as the ability to use computer, Internet, Web2, Web3, and smartphone applications, digital learning resource development, data processing (big data) and its sharing via the Internet, system analysis, dealing with multiple electronic indexing applications and learning management systems and its features, using electronic bibliographic control tools, artificial intelligence tools, cybersecurity system maintenance, ability to comprehend and use different programming languages, simulation, and augmented reality applications, and knowledge and skills for 3D printing. Furthermore, no statistically significant differences were observed between the mean ranks of scores of specialists with less than 10 years of practical experience and those with practical experience of 10 years or more with regard to conferring importance to digital competencies.

• 한국정보통신학회논문지
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• 제24권8호
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• pp.985-992
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• 2020

엣지 컴퓨팅은 데이터를 처리하고 연산하는 곳이 멀리 떨어진 데이터센터에 있는 게 아니라, 단말 장치 혹은 게이트웨이와 같은 엑세스 포인트에 가까운 엣지 사이드에 컴퓨팅 능력 및 데이터 처리 능력을 부가함으로써 저지연/초고속컴퓨팅의 실현을 가능케 한다. 이러한 엣지 컴퓨팅의 종류로는 Mobile edge computing, Fog computing, Cloudlet computing이 있으며, 본 논문에서는 엣지 컴퓨팅을 실제 구현/구축하기 위해 현존하는 오픈 소스 플랫폼들에 대해 초점을 맞추고 분석한다. 각 오픈 소스 엣지 플랫폼에 대해 구조 및 특징들을 체계적으로 묘사하고 비교 분석함으로써 오픈 소스 엣지 플랫폼을 이용하여 실제 엣지 노드를 구축 하고자 하는 산업계 엔지니어들에게 사용 사례에 부합한 최선의 엣지 플랫폼을 선택 할 수 있도록 하나의 제반 지식을 제공하고자 한다.

• 대한지구과학교육학회지
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• 제13권3호
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• pp.330-343
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• 2020

이 연구에서는 데이터를 기반으로 하여 대기대순환, 해류 순환에 관한 STEAM 교육프로그램을 제작하고 이를 고등학교 1학년 106명을 대상으로 적용하여 그 효과와 문제해결과정을 분석하고자 하였다. 이를 위해 데이터를 수집, 정제, 시각화, 분석하고 이러한 결과를 기반으로 의사소통 과정을 진행할 수 있도록 하는 프로그램을 구성하였다. 이를 활용하여 일상생활에서의 순환에서 전 지구적인 관점에서 나타나는 순환으로의 개념을 확장하여 전 세계적으로 발생하는 순환에 관한 문제를 확인할 수 있도록 하였다. 프로그램의 투입 결과 지식정보처리역량과 그 하위 영역에서 유의미한 변화가 확인되었으며. STEAM 핵심역량과 STEAM 핵심역량의 하위 영역인 융합, 창의 역량에서 유의미한 변화를 확인하였다. 또한 학생들의 응답을 텍스트 네트워크의 형태로 분석하여 데이터 기반 STEAM 교육에 대한 제안할 점을 얻고자 하였다.