• 한국식생활문화학회지
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• 제11권5호
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• pp.593-600
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• 1996

This study was undertaken to investigate the knowledge and the use of Korean traditional basic side dishes, dried side dishes and Jabans, by housewives. Among the 59 kinds dried side dishes and Jabans, the most well-known food (above 90% of subjects) turned out to be squid Po (dried strip), kong Jaban (seasoned bean), pollack Po, dried yellow croacker, build -dried anchovy Jaban and laver Boogag in the order. In cooking experience of dried side dish and Jaban, over 40% of subjects for build-dried anchovy Jaban, squid Po, dried yellow croacker and kong Jaban have cooked frequently. The proportion of subjects who has bought the marketed dried side dishes and Jaban products was 61.5%. Major problem of that products was pointed out for a sanitary condition and high price. If marketed dried basic side dishes and Jabans were improved over the aspects, the proportion of subjects who would buy the products was 70.0%. Preparation ability of these basic side dishes was influenced by age and educational level. The working housewives had higher frequency in use than the non-job housewives. The interesting degree for basic side dishes was not significantly different from age, resident area and educational level.

• 보건의료생명과학 논문지
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• 제8권2호
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• pp.113-120
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• 2020

본 연구는 일개 대학에서 2020년 8월 3주간에 운영된 온라인 자기소개서 컨설팅 프로그램에 참여한 92명을 대상으로 하였다. 온라인 자기소개서 컨설팅 프로그램 적용이 취업준비에 도움이 되었는지 알아보고자한 연구이다. 연구 결과 사전에 자기소개서 작성이 부족하거나 취업목표 기관이 뚜렷하지 않았다. 온라인 자기소개서 컨설팅 프로그램 참여 후 취업준비에 매우 도움이 되었고, 관련한 자기소개서 프로그램의 서비스 활용성이 높았다. 프로그램 내 템플릿의 연속된 질문은 자기소개서 작성에 도움이 되었다고 응답하였다. 향후 필요한 취업지원 교육으로 면접준비과정이 필요하다고 하였다.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.19-26
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• 2021

CPU is considered the main and most important resource in the computer system. The CPU scheduling is defined as a procedure that determines which process will enter the CPU to be executed, and another process will be waiting for its turn to be performed. CPU management scheduling algorithms are the major service in the operating systems that fulfill the maximum utilization of the CPU. This article aims to review the studies on the CPU scheduling algorithms towards comparing which is the best algorithm. After we conducted a review of the Round Robin, Shortest Job First, First Come First Served, and Priority algorithms, we found that several researchers have suggested various ways to improve CPU optimization criteria through different algorithms to improve the waiting time, response time, and turnaround time but there is no algorithm is better in all criteria.

• Journal of Information Technology Applications and Management
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• 제28권3호
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• pp.109-125
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• 2021

For the government of president Moon's AI SW HRD policy, he proclaimed AI democracy that anyone can utilize artificial intelligence technology to spread AI education for the people of the country. Through cognitive map analysis, this study presents expected policy outcomes due to the input of policy factors to overcome crisis factors and utilize opportunity factors. According to the cognitive guidance analysis, first, the opportunity factor is recognized as accelerating the digital transformation to Covid 19 if AI SW HRD is well nurtured. Second, the crisis factor refers to the rapid paradigm shift caused by the intelligence information society, resulting in job losses in the manufacturing sector and deepening imbalance in manpower supply and demand, especially in the artificial intelligence sector. Third, the comprehensive cognitive map shows a circular process for creating an AI SW ecosystem in response to threats caused by untact caused by Corona and a circular process for securing AI talent in response to threats caused by deepening imbalance in manpower supply and demand in the AI sector. Fourth, in order to accelerate the digital circulation that has been accelerated by Corona, we found a circular process to succeed in the Korean version of digital new deal by strengthening national and corporate competitiveness through AI-utilized capacity and industrial and regional AI education. Finally, the AI utilization empowerment strengthening rotation process is the most dominant of the four mechanisms, and we also found a relatively controllable feedback loop to obtain policy outputs.

• 한국IT서비스학회지
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• 제19권6호
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• pp.97-117
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• 2020

Five years have passed since the introduction of the smart factory amid the new opportunities for growth and job creation in relation to domestic manufacturing companies. Nevertheless, there is a lack of analysis on SMEs introduction smart factories. This study empirically analyzed the effects on the introduction of smart factories of domestic metal processing SMEs by distinguishing the characteristics of enterprises In this study, 103 companies which introduced smart factories and another 106 companies which did not introduce them were sampled. The Introduction of the Smart Factory was analyzed by four categories such as the Company characteristics (R&D capability, product production capability, organizational change), entrepreneur characteristics (risk sensitivity), relational characteristics (trust, dependence, cooperation, Influence), and structural characteristics (competition). As a result of the research, we found out product production capacity, risk sensitivity, trust and cooperation, Influence, and competition are statistically significant in the introduction of smart factory. But competition was characterized by a negative (-) sign opposite to the hypothesis. This study is meaningful in that the scope of the analysis has been expanded by analyzing whether smart factory was introduced or not considering the characteristics of the company. And there should be continuous research on its utilization as well as the introduction of smart factory.

• 대한안전경영과학회지
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• 제23권4호
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• pp.83-92
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• 2021

The construction of smart factories for government SMEs is not easy due to the lack of professional manpower. The use of retired professionals is a way to solve the problem to some extent and to solve the job problem of seniors by effectively utilizing social assets. This study examines the effectiveness of using Meister based on a survey of 195 companies participating in the Smart Meister Support Program. As a result, the better pre-participation readiness and the better management and coordination of change during the participation, the more significant influence was on Meister's ability development and corporate performance. In particular, it was confirmed that Meister's competence plays a role in both 'pre-participation readiness and business performance' and 'between change management during participation and business performance'. In order to improve the performance of the smart meister business in the future, it is necessary to proactively promote the purpose and purpose of the business targeting companies that wish to participate in the business. In addition, it was found that it is necessary to support the development of change management in order to minimize the resistance to innovation during the project. It will be possible to enhance social competitiveness by resolving senior jobs and strengthening the competitiveness of SMEs by discovering and utilizing Meister, who is an expert among retirees.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3619-3637
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• 2022

Big data analytics offers endless opportunities for operational enhancement by extracting valuable insights from complex voluminous data. Hadoop is a comprehensive technological suite which offers solutions for the large scale storage and computing needs of Big data. The performance of Hadoop is closely tied with its configuration settings which depends on the cluster capacity and the application profile. Since Hadoop has over 190 configuration parameters, tuning them to gain optimal application performance is a daunting challenge. Our approach is to extract a subset of impactful parameters from which the performance enhancing sub-optimal configuration is then narrowed down. This paper presents a statistical model to analyze the significance of the effect of Hadoop parameters on a variety of performance metrics. Our model decomposes the total observed performance variation and ascribes them to the main parameters, their interaction effects and noise factors. The method clearly segregates impactful parameters from the rest. The configuration setting determined by our methodology has reduced the Job completion time by 22%, resource utilization in terms of memory and CPU by 15% and 12% respectively, the number of killed Maps by 50% and Disk spillage by 23%. The proposed technique can be leveraged to ease the configuration tuning task of any Hadoop cluster despite the differences in the underlying infrastructure and the application running on it.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.158-163
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• 2024

Virtual world technology is driving major advances in education, entertainment, and professional training. Metaverse and extended reality (XR) technologies maximize immersion to enhance learning, provide global learning environments, and expose students to situations that are difficult to experience in real life. Career exploration is an important developmental task in adolescence, and virtual training maximizes learning by providing life-like experiences with imagery training. Virtual training overcomes spatial, financial, performance, and situational constraints and is effective in a variety of fields, including military and disaster training. It provides customized learning for various users such as youth, job seekers, and people with disabilities, deepening their understanding of professional activities and improving their problem-solving skills. It also improves the quality of learning through repetitive learning and contributes to the improvement of teamwork and communication skills, and helps to solve financial problems by using unlimited internal resources and space in virtual space, and enables people with disabilities to perform in various professions. This paper investigated the value of virtual training as a comprehensive educational tool through an economical and efficient learning experience.

• Spatial Information Research
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• 제18권5호
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• pp.1-11
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• 2010

서울특별시는 2009년 초 4개의 GNSS 고정 기준국을 설치하고 네트워크 RTK 시스템을 구축하여 현재 운영 중에 있다. 현재는 무선인터넷을 이용한 VRS 측위 서비스와 후처리를 위한 고정 기준국 RINEX 데이터를 제공하고 있다. 본 연구에서는 서울특별시 네트워크 RTK 시스템의 활용성 증대 방안을 검토하고, Virtual RINEX 실용성 검토를 위한 실험을 수행하였다. 네트워크 RTK 시스템의 활용 다양화를 위한 검토는 1) GNSS 고정 기준국의 관측 데이터를 NTRIP을 통하여 타기관의 사용자 시스템으로 실시간 전송하고 수신측 기관에서는 이를 RINEX 데이터로 변환 생성하는 방법, 2) GNSS를 이용하여 주요 장대 시설물의 변위를 모니터링 하는 방법을 검토하였다. 또한 3) NTRIP을 이용한 GNSS Internet Radio로 VRS 보정 데이터를 네트워크 RTK 시스템으로부터 수신하고 무선모뎀을 이용, 소규모 작업 지역을 대상으로 방송하여 RTK측위를 실시하는 방법을 소개 하였다. Virtual RINEX 실용성검토를 위한 실험은 1) GNSS고정 기준국에서 관측한 기준국 데이터와 특정 지점에서 실제로 관측한 GNSS 관측 데이터로 후처리한 성과와 그 지점의 Virtual RINEX 데이터를 이동국 데이터로 한 후처리 성과를 비교하였다. 또한 2) 특정 지점에 대한 VRS RTK 측위 결과와 이동국 측위 지점에 대한 Virtual RINEX 데이터의 후처리 성과를 비교하였다. 그 결과, Virtual RINEX와 GPS 관측 성과는 거의 동일하여 향후 Virtual RINEX도 후처리 데이터로 사용할 수 있는 가능성을 확인하였고, VRS RTK 측위 성과는 Virtual RINEX 후처리 성과와 수 mm 이내 차이를 보여 산출된 성과가 거의 같음을 확인할 수 있었다.

• 농촌의학ㆍ지역보건
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• 제15권1호
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• pp.28-40
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• 1990

Rapid industrialization has induced the migration of rural people to urban areas. Such migration has created enlarged the existing low income group. Residents of low income area have increased health risk owing to their poor living environment, low income. overwork and inappropriate health care. The general objective of this study was to group the pattern of medical care utilization of low income group. The specific objectives were to identify disease prevalence and medical care utilization of low income group. To meet the objectives of this study, household interview method was applied. A total of 1845 households in 5 areas such as Bongchon 5th Dong, Bongchon 2nd Dong, Sanggae 5th Dong, Sanggae 4th Dong, and Shinrim 7th Dong were visited and interviewed by field team during the period from April 19 to May 3. 1989. The major findings obtained from the information collected were as follows : The Number of room per household used was one to two rooms. The employment state of the head of household disclosed that 88.6% had a job and the remaining 11.4% were unemployed. The average monthly income was 502,770won. however, 30% of the total income was less than 300,000 won in Bongchon 5th dong area. and 34.5% in Shinrim 7th Dong area. 41.3% of households had debts, which was consisted of household expense(33.4%), income formulation(22.7%) and medical care cost(15.9%) etc. Prevalence rate of diseases during the preceding 30days before the date of the household interview was 387.7 per 1000 persons. The prevalence rate of female was higher than that of male. 8.9% of the sick persons wasn't receiving any medical treatment, and the main reasons of which were lack of economic availability(43.3%) and feeling of non treatment needed(33.7%). According to the study results it was found that the prevalence rate of chroic diseases and the disabled in low income resident areas was higher than that in the other areas. Therefore, the health status of this group should be improved through PHC approaches. In addition. in order to prevent the diseases and promote the health of those people, the health center as well as health subcenter should be strengthened.