• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.60-66
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• 2024

Host's data during transmission. Data tempering results in loss of host's sensitive information, which includes number of VM, storage availability, and other information. In the distributed cloud environment, each server (computing server (CS)) configured with Local Resource Monitors (LRMs) which runs independently and performs Virtual Machine (VM) migrations to nearby servers. Approaches like predictive VM migration [21] [22] by each server considering nearby server's CPU usage, roatative decision making capacity [21] among the servers in distributed cloud environment has been proposed. This approaches usage underlying server's computing power for predicting own server's future resource utilization and nearby server's resource usage computation. It results in running VM and its running application to remain in waiting state for computing power. In order to reduce this, a decentralized decision making hybrid model for VM migration need to be proposed where servers in decentralized cloud receives, future resource usage by analytical computing system and takes decision for migrating VM to its neighbor servers. Host's in the decentralized cloud shares, their detail with peer servers after fixed interval, this results in chance to tempering messages that would be exchanged in between HC and CH. At the same time, it reduces chance of over utilization of peer servers, caused due to compromised host. This paper discusses, an roatative decisive (RD) approach for VM migration among peer computing servers (CS) in decentralized cloud environment, preserving confidentiality and integrity of the host's data. Experimental result shows that, the proposed predictive VM migration approach reduces extra VM migration caused due over utilization of identified servers and reduces number of active servers in greater extent, and ensures confidentiality and integrity of peer host's data.

• 디지털융복합연구
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• 제7권4호
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• pp.43-56
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• 2009

The concept causing all the fuss is "the utility computing or the usage-based IT service", which now represents the future for IT asset in all aspects of the way they work in business, the commercial and public sector. The core of "utility computing or usage-based IT service" is changing the IT assert from "ownership" to "borrowing", which enables managers to get greater utilization of data-centre resources at lower operating costs. This trend is spreaded in public sector centering the Governmental Internet data Center of Korea(NCIA). So, it has need to make an usage-based IT service model that is suitable for public sector. In this paper, we propose the usage-based IT service model that is composed of IT service framework, service pricing model and IT service architecture.

• Journal of Information Technology Applications and Management
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• 제30권5호
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• pp.41-57
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• 2023

This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.

• 한국지역사회생활과학회지
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• 제18권2호
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• pp.247-263
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• 2007

This study was complied to analyze the professional agricultural techniques level and to suggest a desirable direction for the professional education system for women farmer. The research was conducted by using in-field surveys and interviews. Data was gathered by questionnaire from 147 women farmer in five specialized crop regions: strawberry, cucumber, rose, apple, and oyster mushroom. The results obtained are as follows. First, the technique levels in computer usage and electronic commerce, machinery usage, pesticide and fertilizer utilization, facility automation, and eco-agricultural cultivation were low. Second, the demand for professional education, evaluated through technique level by standard management diagnosis, was recognized. Areas of concern included: cucumber (temperature control, carbonic acid gas control, grading, funds management), strawberry (light control, soil temperature control, irrigation watering, shipping), rose (temperature control, light control, funds management, cooperated management), oyster mushroom (growth cabinet sterilizer), and apple (flower bud pinching, defloration, fruit thinning, funds management). Based on the results of this study, the following are suggestions for the planning of a professional education system for women farmer. First, it needs to address formal education in marketing, machinery usage, facilities automation, and techniques in pesticide and fertilizer utilization. Second, it needs to be a multi- level program with appropriate terminology at every level which is suitable to each age and ability of women farmer. Third, it needs a more comprehensive manual developed by need analysis of women farmer and a larger lecturer pool for professional education.

• 기술혁신학회지
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• 제16권3호
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• pp.784-808
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• 2013

21세기 지식정보화 사회에서 과학과 기술에 대한 지식과 정보의 창출, 확산 및 활용의 중요성이 부각되고 있다. 특히 국가 차원의 연구개발 종합정보시스템으로 운영되고 있는 웹사이트의 활용도를 높인다면 유사 연구와 중복 투자를 줄이는 등 효율적인 R&D 투자에 기여할 것이다. 이에 본 연구는 국가 과학기술지식정보서비스(NTIS, NDSL) 이용자가 느끼는 고객가치와 지속사용의지에 미치는 영향요인을 실증 분석하였다. 연구 결과 정보서비스 품질이 서비스의 지속사용의지에 유의적인 정(+)의 영향을 미쳤고 고객가치는 정보서비스품질과 지속사용의지를 매개하는 것으로 나타났다. 또한, 이용자의 상황적인 요인변수 자체적으로는 고객가치에 유의한 정(+)의 영향을 미치지만 서비스의 품질과 고객가치간의 관계를 조절하지 않는 것으로 검증되었다. 본 연구는 국가 과학기술지식정보서비스의 고객가치 향상과 지속적인 사용을 높이는 요소들을 파악하여 국가과학기술지식정보의 효율적 활용을 통한 국가지원 연구개발사업의 성과제고에 긍정적인 역할을 하는데 있다.

• 한국비블리아학회지
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• 제33권4호
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• pp.207-228
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• 2022

학업 및 취업 준비에 대부분의 시간을 쏟는 20대 대학생에게 있어 학습 공간으로써 대학도서관의 역할은 필수적이다. 본 연구의 궁극적인 목적은 코로나19 시기의 이용 행태 변화를 통해 도출된 이용자의 요구를 대학도서관 열람실 공간에 반영하여 활용도를 높일 수 있는 방안을 제시하기 위함이다. 이를 위해 먼저 코로나19 전·후의 대학도서관 열람실 이용 행태를 비교하여 변화와 특성을 확인하였다. 연구 대상으로는 지역 거점 국립대학교인 J대학교를 선정, 중앙도서관의 코로나19 전·후 3개년도에 해당하는 2019~2021학년도의 열람실 이용로그 579,555건을 수집하여 열람실 활용도를 분석하였다. 또한 120,090건의 자료 이용 데이터를 기반으로 도서관 이용 방문 목적을 비교하였고 각 열람실별 특성과 이용률과의 관련성을 분석하였다. 본 연구 결과가 팬데믹 이후 뉴노멀 시대에 대응하기 위한 도서관 열람실 운영 및 공간 재구성 정책 수립 시 기초자료로 활용되길 고대한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• 대한영양사협회학술지
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• 제10권2호
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• pp.246-257
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• 2004

To provide basic information for the proper usage of frozen convenience foods in elementary school foodservice operations, 51 dietitian employeed in school foodservices in Inchon were surveyed. Among the frozen convenience foods, dumpling-type foods(60.8%) and processed meats(40.4%)were used widely in school foodservice. Generally, the frequency of using frozen food items was fewer than 1 time per month. More than 15% of respondents were using pork cutlet, chicken, chickenball, dumpling stuffed with meat about 2-3 times per month. Sweet and sour pork(Tangsuyuk), kebap(Sanjuk), fish/shrimp cutlet, fried potato items were used only fewer than 1 time per month. Dietitian's age, carrier, employed status influenced the utilization rate. The grand mean of satisfaction score was 3.36 out of 5. The factors affecting satisfaction in using frozen foods were sanitation, taste, price, nutrition, food additives in order. The major reasons of utilizaing frozen convenience foods were 'improved labor productivity(4.47)' and 'meet customer preference(4.25)'. The limiting factors in using frozen foods were taste(35.3%), price(23.5%), nutrition(17.6%). The management practices of frozen convenience foods through food processing flow were assessed. Average performance rate was 64.7%. To enlarge the usage of frozen convenience foods in foodservice operations, dietitians should observe sanitary practices.

• 한국작물학회지
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• 제62권3호
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• pp.157-165
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• 2017

Being a staple food for more than half of the population of the world and South Korea, rice is an important crop. For the past 20 years, global paddy rice cultivation area and production have shown an annual growth of 0.46% and 1.61%, respectively. Global rice consumption for food and processing has increased by 1.37% and 3.68%, respectively. Due to the main reason for such increasing human population, it is expected that from 439 million tons in 2010, additional 116 million tons will be needed in 2035. Global rice imports and exports have doubled in the last 20 years. However, in spite of such increment, global rice exports in 2013 were 8.4% of the total production. It is thought that rice protection policies in the producing countries are the main reason for such small scale of rice trading. In the past 5 years, India recorded the largest growth rate in rice exports (51.4%), whereas China showed the largest growth rate in imports (61.0%). For global utilization of milled rice during the same period, approximately 79.4% was used as food, 7.2% as animal feeds, and 1.4% for processing. Regionally, Asia has shown a similar pattern to the global rice usage, whereas utilization for processing in America, for food in Africa, and for animal feed in Europe was relatively higher than the global rice usage. Korea's cultivation area and production since the last 5 years, are 0.5% and 0.8% of those of the world, respectively. Its annual rice export is approximately 3,000 tons, which is 0.01% of the global rice export. Korea's rice utilization is high for food and low for feed and for processing relative to global rice utilization. Therefore, a review must be conducted to increase Korea's utilization of rice for processing and for feed production.

• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.723-732
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• 2022

최근 들어 기업정보 시스템의 성공적인 활용은 기업의 효과적인 전략 수행과 기업 경영 목적 달성에 핵심적인 역할을 하고 있다. 기업정보 시스템의 도입 성공 여부를 결정하는 인자 중의 하나가 시스템 활용도로서, 정보시스템 활용도를 측정하는 효과적인 방안을 마련하는 것은 기업 경영에서 매우 중요하다. 본 연구에서는 프로세스 마이닝 기법을 이용한 로그 데이터 분석을 통해 정보 시스템 활용도를 평가한다. 즉, 기본적인 접속 로그 통계뿐만 아니라 정보시스템을 실제로 사용하는 순서를 패턴화하고 유사 사용 기능을 군집화하여, 정보시스템 설계시에 예상하였던 시스템 사용 순서/기능과 실제 현황을 비교함으로써 기존 정보시스템을 개선하거나 확장하는데 피드백을 제공하고자 한다.