• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.23-34
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• 2020

Recently, the artificial intelligence deep learning field has been hard to commercialize due to the high computing power and the price problem of computing resources. In this paper, we apply a double pruning techniques to evaluate the performance of the in-depth neural network and various datasets. Double pruning combines basic Network-slimming and Parameter-prunning. Our proposed technique has the advantage of reducing the parameters that are not important to the existing learning and improving the speed without compromising the learning accuracy. After training various datasets, the pruning ratio was increased to reduce the size of the model.We confirmed that MobileNet-V3 showed the highest performance as a result of NetScore performance analysis. We confirmed that the performance after pruning was the highest in MobileNet-V3 consisting of depthwise seperable convolution neural networks in the Cifar 10 dataset, and VGGNet and ResNet in traditional convolutional neural networks also increased significantly.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.60-67
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• 2020

This study was conducted through a focus group interview of 4 teams of 40 nursing students to provide basic data for the development of customized cadaver practice programs and life and nursing ethics education by identifying the anatomical observation experiences of nursing students through cadaver. We tried to grasp the meaning and essence of the anatomical observation experience using the Colaizzi analysis method. As a result of the analysis, 3 categories, 6 theme clusters, and 12 themes were derived. The theme clusters for each category are as follows: Unrest (worry, confrontation), reflection (the boundary between life and death, teaching of the body teacher), growth (step forward, a valuable experience that will never be again). It was an opportunity for nursing students to realize the mystery of the human body and the preciousness of life through the experience of cadaver, and to consider the altruistic life through donation while recognizing that death is also a process of life in a broad sense.

• Informatization Policy
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• v.17 no.3
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• pp.74-97
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• 2010

This paper investigates factors that have facilitated the rapid diffusion of broadband in South Korea. It finds that the quick spread of broadband access in South Korea is the result of combining the government's strategic ICT policy considering cultural traits, businesses'competitive efforts, and the timely explosion of domestic demand for IT service. This paper also discusses the impact of broadband diffusion on the digital divide. It finds that although there are still regional and age gaps in broadband access, the Korean government and businesses are working to alleviate these problems through various ways from systemic to physical ones. While the deployment of broadband cannot eliminate every issue of the digital divide, broadband access minimizes the digital divide by lowering the barrier to inequitable access to information. This paper concludes with a number of recommendations that address selected policy issues related to the spread of broadband Internet for its successful implementation.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.67-75
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• 2020

This paper investigated the information spillover effect between stock market and bond market with the KOSPI daily index and MMF yield data. The overall analysis period is from May 2, 1997 to August 30, 2019. The empirical analysis was conducted by dividing the period from May 2, 1997 to December 30, 2008 before the global financial crisis, and from December 30, 2008 to August 30, 2019 after the global financial crisis, and the overall analysis period. The analysis shows that the EGARCH model considering asymmetric variability is suitable. The price spillover effect and volatility spillover effect existed in both directions between the stock market and the bond market, and the price transfer effect was greater in the period before the global financial crisis than in the period after the global financial crisis. Asymmetric volatility in information between stock and bond markets appears to exist in both markets.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.8B
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• pp.716-729
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• 2006

The information systems in the most enterprise environments are distributed locally and are comprised with various heterogeneous data sources, so that it is difficult to obtain necessary and integrated information for supporting user decision. For solving 'this problems efficiently, it provides uniform interface to users and constructed database systems between heterogeneous systems make a consistence each independence and need to provide transparency like one interface. This paper presents XMDR that consists of category, standard ontology, location ontology and knowledge base. Standard ontology solves heterogeneous problem about naming, attributes, relations in data expression. Location ontology is a mediator that connects each legacy systems. Knowledge base defines the relation for sharing glossary. Adaptive retrieve proposes integrated retrieve system through reflecting site weight by location ontology, information sharing of various forms of knowledge base and integration and propose conceptual domain model about how to share unstructured knowledge.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.373-378
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• 2017

While on-line shopping markets are growing, consumer's procurement processes are being confused regardless of on or off line market and, smart consumers who want intelligent tailored services have emerged. Depending on the changeable pattern of consumer, most of related companies provide various Omni channel and O2O service. However, reactions of the fashion companies are tend to be late. Recently, the IoT environment has changed to standards-based open platform and it requires a variety of intelligent services depending on the type of environment and objects. This thesis proposes fashion O2O system using smart fitting display that is adaptable to fashion companies. This proposed system provides fitting information which is performed on off-line by users after constructing the database, it also support the works as on-line status, thus, it makes users' procurements to maintain continuously. For the more, customer oriented intelligent fitting service would be expected by the information connection with the shop and delivery systems.

• Journal of Practical Engineering Education
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• v.8 no.1
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• pp.63-68
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• 2016

As job mismatch intensifies in the employment market, the work based learning has emerged as a solution to this social problem. The so called Korean dual education system is expected to raise jobseekers equipped with knowledge and skills demanded by industry. This study intends to recommend an effective operational model for contracted education programs at higher institutions in order to support soft landing of Korean dual education system. Students of contracted education programs are adults graduated from vocational high schools and working for companies during weekdays. In consideration of the difficulties experienced by employee students, more flexible operation of academic affairs is required. To address these challenges, the recommended contracted education model includes such beneficial features as S-OJT courses, standard curriculum based on National Competency Standard, recognition of prior learning, flipped classroom, and tutoring system. In the last part, several directions for implementing the new contracted education model are discussed.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.417-422
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• 2009

It is important to verify the validity of indicators assessing PMIS(Public Management Information System) effectiveness in academic research as well as practical affairs. As people invest in the field of Information Technology(IT) or IT system, private corporations are interested in investment in IT and it's business value. Moreover, the need of evaluating effectiveness on the investment in IT with the limited national budget are on the increase in public sector. Therefore, it is necessary to define the construct of PMIS(Public Management Information System) effectiveness so that we systematically compare and measure performance of public informatization project processed by each public organizations. It needs to develop indicators and verify the construct validity of them. we verified the construct validity of indicators assessing PMIS(Public Management Information System) effectiveness on the Administration DB Construction Projects.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.10
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• pp.477-482
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• 2016

As being the advanced analytics indispensable on big data for agile decision-making and tactical planning in enterprises, distributed processing platforms, such as Hadoop and Spark which distribute and handle the large volume of data on multiple nodes, receive great attention in the field. In Spark platform stack, Spark SQL unveiled recently to make Spark able to support distributed processing framework based on SQL. However, Spark SQL cannot effectively handle advanced analytics that involves machine learning and graph processing in terms of iterative tasks and task allocations. Motivated by these issues, this paper proposes the design of SQL-based big data optimal processing engine and processing framework to support advanced analytics in Spark environments. Big data optimal processing engines copes with complex SQL queries that involves multiple parameters and join, aggregation and sorting operations in distributed/parallel manner and the proposing framework optimizes machine learning process in terms of relational operations.

• The Transactions of the Korea Information Processing Society
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• v.7 no.10
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• pp.3064-3074
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• 2000

Lately computing environment is changing into integrating open system Some corporations and research institutions are still using old codes and not dealing with the rapid canging environment actively. Also several software developers have difficulties with the problems of productivity and translating old codes. This paper proposes Integration Object Management Model to deal with the rapid changing environment effectively and to improe productivity about new software development. The model is divided into three layers the first layer classifies and displays information to users, the second layer controls function, the integrationand management layer, and the last layer manages data, the object management stroage later. So it designs and implenments F77/J++ Generator system(FORTRAN77/Java code generator) for Integrated Object Management Model. The generator helps to translate old codes into new codes in redesigning the business and promoting productivity. In consists of nine-stage strategies using reengineering. This might support agterward protolyping in maximizing the reuse of software, which is advanlage to the integrationof the system and in pro,oting its productivity.