• Journal of Korean Society of Archives and Records Management
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• v.3 no.2
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• pp.34-51
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• 2003

The purposes of this study are to categorize the archival body of knowledge based on the analysis of two guidelines and websites of 10 archival graduate programs in the United States, and to make suggestions for the development of archival education in Korea. Basic knowledge, core knowledge, complementary knowledge, practical knowledge, and research knowledge are found as components of the archival body of knowledge. The basic knowledge is the ability to understand general circumstances related to records and archives. The core one is to master the required competence as archivists. The complementary one is to understand other disciplinary backgrounds and their various research methods. The practical one is to be obtained from field experiences and the research one is to make a scholastic contribution through a deep research process. Curriculum development for preservation, electronic records management, use of computer technologies, archival services and advocacy, more interdisciplinary courses and internship programs are suggested as important factors for the future archival education. And cooperative research and appointment of more faculty members are also suggested. Finally, the development of guideline for Korean archival graduate programs are strongly suggested.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1460-1465
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• 2016

Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.215-222
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• 2019

Advances in technologies about 3D (three-dimensional) printing and smart factory related issues will have the effect of reducing the cost of building a smart factory and making various types of service available. Manufacturers and service providers of small assets work with outside experts to provide small amounts of customized ordering services. If customers have to disclose their private information to subscribe to a new service, they may be reluctant to use it and the availability of developed technology may cause slow progress. We propose a new protocol for customized order service for smart factory. The proposed approach is designed to meet requirements of security and based on smart contract in IoT convergence network. We analyzed the requirements of the proposed approach which provided anonymity, privacy, fairness, and non-repudiation. We compared it with closely related studies to show originality and differences.

• Journal of the Korean Geographical Society
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• v.31 no.2
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• pp.309-316
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• 1996

With the increased availability of spatial datasets and advances in data processing technologies, the last 50 years witnessed remarkable progress in the area of cartography and geoinformatics. Researchers in Korea involved in these area, however, were exposed to the new development only recently. They are now at the stage of absorbing the works of leading countries. There have been only a small number of research papers on the area of conventional cartography land use/vover mapping, mapping of distribution of slope calsses, and topographic models. It is only recently that the research scope be extended to computer-assisted cartography and Geographic Information System (GIS). The majority of research papers have been focused on the applications of GIS. Recently, a group of researchers begin to address some of the fundamental issues in GIS such as formal models, standization, data structure, spatial analysis and networking.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.137-153
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• 2015

Technostress- a term coined by Craig Brod- refers to a modern disease of adaptation caused by an inability to cope with new technologies. Stress is a person's adaptive response to a stimulus that places excessive psychological or physical demands on that person. In a similar vein, technostress can affect a variety of side effect such as low work productivity and resistance against new technology. The purpose of this study is thus to investigate of differences of technostressors using demographic informations such as gender, age, computer use skill, and industrial types. To do this, we conducted independence t-test and analysis of variance. We found that demographic characteristics can affect the differences of technostressors. Conclusions and implications are discussed in the last section of this paper.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.1083-1088
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• 2014

Recently, due to advances in both imaging technology and ICT, various types of image processing services became available and the application services of these two technologies are diversifying. Recognition of vehicle license plates is used in places where vehicle information is needed such as in parking management. However, existing systems have economic disadvantages like issuing parking tickets and attaching unnecessary equipment. In order to solve these problems, we designed and implemented automatic parking management system through recognition of vehicle license plates by using emguCV that is based on OpenCV. Additionally, we designed improved UI to handle the entire parking management situation which include information such as details of each parking vehicle, parking time and remaining parking spaces without screen movement. This improved UI is implemented with the use of WPF which is the latest technology in user program development. The emguCV used in this paper showed the most optimized performance in Intel based environment. With it, we obtained the result of within 0.5 seconds of recognition processing time and over 90% of recognition rate. Through improved UI, the manager could both simply and intuitively manage the entire system.

• Geophysics and Geophysical Exploration
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• v.23 no.3
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• pp.157-167
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• 2020

With the recent advancement of computer hardware and the contribution of open source libraries to facilitate access to artificial intelligence technology, the use of machine learning (ML) and deep learning (DL) technologies in various fields of exploration geophysics has increased. In addition, ML researchers have developed complex algorithms to improve the inference accuracy of various tasks such as image, video, voice, and natural language processing, and now they are expanding their interests into the field of automatic machine learning (AutoML). AutoML can be divided into three areas: feature engineering, architecture search, and hyperparameter search. Among them, this paper focuses on hyperparamter search with Bayesian optimization, and applies it to the problem of facies classification using seismic data and well logs. The effectiveness of the Bayesian optimization technique has been demonstrated using Vincent field data by comparing with the results of the random search technique.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.359-380
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• 2018

In the digital society where ICT technology is highly developed, digital literacy is an essential competence for working and living. Developed countries around the world have been working hard to solve the digital divide and improve digital literacy. In this paper, we investigated and analyzed the case of US public libraries for improvement of digital literacy of adults including the older people. To do this, we analyzed the educational program type of digital literacy, education method, and the contents of the program, focusing on the best practices libraries of the program. Many of the educational programs still related to basic computer and Internet technologies, and training programs on Micro Office, e-mail, social media, and smartphone and tablet computing were also high. The most frequent and daily training method was informal point of use, and the content and level of education appeared to be very diverse. For digital literacy training, the librarians of the public library considered librarians' digital competence and retraining to be the most important, and the library facility and the latest equipment to be suitable for the operation of the digital literacy education program.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.157-163
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• 2014

User's sensitivity is recognized as a very important parameter for communication between company, government and personnel. Especially in many studies, researchers use voice tone, voice speed, facial expression, moving direction and speed of body, and gestures to recognize the sensitivity. Multiplex modality is more precise than single modality however it has limited recognition rate and overload of data processing according to multi-sensing also an excellent algorithm is needed to deduce the sensing value. That is as each modality has different concept and property, errors might be happened to convert the human sensibility to standard values. To deal with this matter, the sensibility expression modality is needed to be extracted using technologies like analyzing of relational network, understanding of context and digital filter from multiplex modality. In specific situation to recognize the sensibility if the priority modality and other surrounding modalities are processed to implicit values, a robust system can be composed in comparison to the consuming of computer resource. As a result of this paper, it is proposed how to assign the weight of multiplex modality using implicit data.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1512-1517
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• 2005

Soil particles from rainfall flow into reservoir and give lots of influence in water quality because the Even though techniques related with computer and communications are growing rapidly, it is true that efforts for hydrological survey and the management of its results have not been made enough to make use of the state-of-the-art technologies. Among the water-related techniques, measurement of river discharge is the most important one because these data are basic to almost every field of the hydrological science. In this research, a large-scale particle image velocimetry (LSPIV) unit has been designed and constructed to measure river discharge effectively In field conditions. Measured data using this unit is compared with the results recorded by the microwave water surface current meter (MWSCM) at the same location. The purpose of this research is to propagate the feasibility of using the MWSCM for river discharge velocimetry.