• Journal of the Korean Society of Propulsion Engineers
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• v.21 no.5
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• pp.108-120
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• 2017

The technology for health management of gas turbine engine has grown with engine development itself for 60 years and regarded as important area for performance monitoring and maintenance of the system. This technology which is based on several areas such as advanced measurement technology, electronics, software technology and reliable system modeling is realized. This paper analyzed the past, current and future technical trend of a technically advanced country and compared with domestic research status. Based on the analysis, the key research topics for the realization of technology is suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.265-271
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• 2016

DEA is a typical method that allows measurements and evaluations of the efficiency. This study examined the management efficiency of bean farm households to suggest factors that influence the management efficiency. The results showed that a larger cultivation area has more positive effects on the scale efficiency of beans farm households. When summing up farmer's family labor, lease fee, hired labor cost, which are strongly related to the workforce, it reached up to 54.6%. This means that they all occupy more than half of the production cost and they show an increasing trend. Moreover, although the hired labor rate is higher, it has more positive influences on the gross efficiency, technical efficiency and scale efficiency. In addition, the results showed that environmentally-friendly agriculture decreases the efficiency.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.19-29
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• 2012

Currently, cloud computing technology is being supplied in various service forms and it is becoming a ground breaking service which provides usage of storage service, data and software while user is not involved in technical background such as physical location of service or system environment. cloud computing technology has advantages that it can use easily as many IT resources as it wants freely regardless of hardware issues required by a variety of systems and service level required by infrastructure. Also, since it has a strength that it can choose usage of resource about business model due to various internet-based technologies, provisioning technology and virtualization technology are being paid attention as main technologies. These technologies are ones of important technology elements which help web-based users approach freely and install according to user environment. Therefore, this thesis introduces software-related technologies and architectures in an aspect of grid for building up high availability cloud computing environment by analysis about cloud computing technology trend.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.129-136
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• 2010

Smartphone used to be an it item for only business people and early adaptors. However, the public interest towards Smartphone has been rapidly increased and now is spreading to the everyday life in general people. Variety of applications are introduced and registered in a day, but there are not enough apps with simple and useable interface. This is because that the applications are developed only in a view from developer and designer to match the splendor design and technical skills of apps not concerning the users. Therefore this study will analyze the value in use and design trend of registered apps in apps store to recognize the importance in use and also to discuss about a plan to apply this into the apps more effectively. In order to improve the mobile app usability, this study suggest that using intuitional icon, designing easy to use app navigation. This will lead to produce clear instruction for app developers and designers with more reliable effects in the future of Smartphone world.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.139-147
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• 2020

In the fourth revolution resulting from ICT convergence, Blockchain-based platform is being applied to various fields. This trend is expected to become stronger in the future. This study aims to explore several factors pertaining to user acceptance of Blockchain-based financial platform. It is important for finance business managers and blockchain technical managers to verify the user's willingness to accept the blockchain. In this study, the factors determining the acceptance of blockchain-based platform we explore are innovation, convenience, security and preference. Based on the results of the survey, 465 users(male 262, female 212) completed the questionnaire, a structural equation analysis was used in order to analyze the blockchain's users acceptance framework. Through the results we were able to identify and validate the differences in innovation and convenience by gender as well as the factors determining the acceptance of blockchain-based financial platform.

• Korean Institute of Interior Design Journal
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• v.21 no.6
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• pp.158-167
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• 2012

This research began by considering that, although architecture and architectural culture of the last two decades seem to have rediscovered ornament and some recent studies have reconsidered the ornamental issues of contemporary buildings, there is currently some difficulty in providing a synthetic investigation of this topic, because of the complex nature of the contemporary architectural situation. Following this premise, this research provides some reference points for further studies that will aim to expand the understanding, and attempt to classify and hypothesize the future of contemporary ornamental phenomena. Based on the assumption of the historical continuity of ornamental problems, and adopting the relation - both technical and aesthetic - between ornament and structure as one of the crucial issues to link past and present problems, the study firstly defines two categories and two sub-categories concerning the relation between ornament and structure, namely: a) ornament integral with the structure and b) ornament applied to the structure; a1) ornament visually expressing the structure and a2) ornament not visually expressing the structure. The study then reviews the historical development of ornament from ancient times to the present in the light of the above mentioned categories, and finally discusses the principles of traditional and modern ornament thus analyzed in relation to contemporary ornamental trends, as identified in selected case studies. Some common points between past and contemporary experiences are revealed in order to facilitate further investigations. In particular, the analysis shows a certain trend in contemporary architecture for a strong link between ornamental treatment and the structure of the building and a current tendency among contemporary designers to keep the exterior appearance of the building project separate from the design of the rest of the construction.

• Management & Information Systems Review
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• v.4
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• pp.29-66
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• 2000

The current economic environmental changes such as globalization, information and opening of the market is calling for or needing the more rapid change of management and/or marketing strategies of the company than they did before to survive in tile borderless international competition. Under this situation, this study focuses on the correspondence strategies of Electronic Commerce which is one of the key elements to overcome or lead the above demands through seeking the problems of the current EC acception and application specially in Chollabuk Do province. For the above purpose, this study surveys the questionary with business firms of above area and figures out what is the correlation between business form and size and EC acception and application and what is the problems on it. And than provides several counter strategies which are following based on the survey to keep this area companies from out of business and lead the above economic environmental changes. To expand the adoption and application of EC to this area, firstly, top managers of the company must recognize the necessity and importance of EC compared with traditional commerce and change their perception and attitude concerning EC positively, and than try to accept it as soon as possible. Secondly, the company need the retained earning to invest to EC and educate their managers and employees with total participation. Thirdly, local government has to improve its attention to EC as a best way or opportunity to reduce and overcome the economical gap and development its economy because EC can remove the physical time or distance and space, scale and capital limitations. Finally, government has to expand and establish information infrastructure such as technical infrastructure(communication and security technology), Functional infrastructure like standard protocol, Organizational infrastructure(interchange agreement, relative law) and social infrastructure to improve efficient electronic transaction which can Increase the company' international compatitiveness under the current economy trend.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.132-144
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• 2017

The fingerprint classification of categorizing fingerprints by classes should be used in order to improve the processing speed and accuracy in a fingerprint recognition system using a large database. The fingerprint classification methods extract features from the fingerprint ridges of a fingerprint and classify the fingerprint using learning and reasoning techniques based on the classes defined according to the flow and shape of the fingerprint ridges. In earlier days, many researches have been conducted using NIST database acquired by pressing or rolling finger against a paper. However, as automated systems using live-scan scanners for fingerprint recognition have become popular, researches using fingerprint images obtained by live-scan scanners, such as fingerprint data provided by FVC, are increasing. And these days the methods of fingerprint classification using Deep Learning have proposed. In this paper, we investigate the trends of fingerprint classification technology and compare the classification performance of the technology. We desire to assist fingerprint classification research with increasing large fingerprint database in improving the performance by mentioning the necessity of fingerprint classification research with consideration for fingerprint images based on live-scan scanners and analyzing fingerprint classification using deep learning.

• Journal of Biosystems Engineering
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• v.34 no.2
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• pp.71-76
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• 2009

This study was conducted to investigate the load acting on a tractor engine when it delivers the maximum power at drawbar. The results of the drawbar tests on the 5 locally-made and 14 imported tractors conducted at NIAE in 2004, and the 15 tractors tested at OECD test stations in foreign countries were analyzed and presented by the torque load ratio, defined as a ratio of the engine torque load caused by drawbar pull to its full-load capacity, as a function of pull speed. The NIAE test results showed that the torque load ratio increased from 20 to 80% with pull speed less than 5 km/h. At speeds faster than 5 km/h, it was 80${\sim}$110% regardless of the pull speed. However, the OECD test results showed that the torque load ratio was evaluated mostly to be 70${\sim}$90% in the entire pull speed range. The same trend was also shown for the maximum drawbar load. The difference in the torque load ratio may be attributable to bias-ply tires for locally-made and some imported tractors. It is also suggested that the input torque load may be increased safely up to 120% of the full load capacity of the tractor engine for an accelerated life test of tractor transmissions.

• Journal of the Korean Institute of Gas
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• v.24 no.1
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• pp.66-75
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• 2020

Drilling operation is the most important and costly essential work in oil and gas exploration and development. Therefore, the studies about rate of penetration have been carried out continuously to improve drilling efficiency. In recent years, data-driven models have been developed by various researchers to overcome disadvantages of traditional mathematical models. For the data-driven models, selecting proper algorithms and parameters is very important. In addition, data-driven models should be retrained in real-time during continuous drilling operations in order to improve the model performance. In this paper, the latest studies are investigated to provide information about algorithms, drilling parameters and model retraining intervals that used in drilling optimization.