• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.265-294
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• 2018

Nowadays, due to an explosive increase in information, information filtering is very important to provide proper information for users. Users hardly obtain scholarly information from a huge amount of information in NDSL of KISTI, except for simple search. In this paper, we propose the service, PIN to solve this problem. Pin provides the word cloud including analyzed users' and others' interesting, co-occurence, and searched keywords, rather than the existing word cloud simply consisting of all keywords and so offers user-customized papers, reports, patents, and trends. In addition, PIN gives the paper classification in NDSL according to keyword matching based classification with the overlapping classification enabled-academic classification system for better search and access to solve this problem. In this paper, Keywords are extracted according to the classification from papers published in Korean journals in 2016 to design classification model and we verify this model.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.1
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• pp.195-224
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• 2019

Online service has been emphasized in various studies for content uses and diffusion of cultural heritage domain. This study purports to investigate the status of contents organization and information services for online cultural heritage services and to suggest improvement directions. This study conducted case studies and expert interviews based on contents, search systems, additional services, and expansion services. It also suggested an integrated information retrieval service for cultural heritage contents as well as the provision of high-quality content and various types of contents. The flexibility of the search function through the content hierarchy, the expansion of access points through the construction of controlled vocabulary, and authority data were also focused. As an additional service, the study proposed a curation-based, user-customized service, data sets open and share, and user participation.

• Information Systems Review
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• v.23 no.4
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• pp.69-86
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• 2021

As artificial intelligence technology advances, personalized recommendation systems using big data have attracted huge attention. In the case of beauty products, product preferences are clearly divided depending on customers' skin types and sensitivity along with individual tastes, so it is necessary to provide customized recommendation services based on accumulated customer data. Therefore, by employing deep learning methods, this study proposes a neural network-based recommendation model utilizing both product search history and context information such as gender, skin types and skin worries of customers. The results show that our model with context information outperforms collaborative filtering-based recommender system models using customer search history.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.197-203
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• 2024

Food allergies are common and accidents occur annually. However, many people lack knowledge of the severity of allergies and food ingredients. Allergy-related applications currently on the market have problems such as providing information by relying only on certain certified products, food ingredients, and barcodes. This design plans a customized service application for food allergy patients. In this application, after extracting the text of the image using OCR technology, the food ingredients were read and displayed in large letters. In addition, if the user selects an ingredient that cannot be consumed through filtering technology, the restricted food is quickly and conveniently shown when searching for food ingredients. Finally, when scanning a barcode or searching for a product, food ingredient information is provided through barcode scanning and search engine technology that provides ingredient information of the product. Therefore, the purpose of this paper is to design an app in which users with food allergies can easily check food ingredients and avoid allergic reactions using databases and various information search methods.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2010.05a
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• pp.184-205
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• 2010

The service industry is drawing economic growth, and the financial service sector among service industry takes major share. So it is needed to increase the productivity and efficiency through the service innovation of making a good process, standardization, automation. But contrary to manufacturing industry, the difficulty to measure the characteristic of productivity, quality and innovation in service sector requires more scientific and systematic method for service innovation. This paper will search for financial service innovation strategy with service science by the case review of KOTEC's technology rating system. The case may infer that strategic technology management capability along with customized financial service infrastructure is important.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3239-3267
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• 2018

Image and video dehazing is a popular topic in the field of computer vision and digital image processing. A fast, optimized dehazing algorithm was recently proposed that enhances contrast and reduces flickering artifacts in a dehazed video sequence by minimizing a cost function that makes transmission values spatially and temporally coherent. However, its fixed-size block partitioning leads to block effects. The temporal cost function also suffers from the temporal non-coherence of newly appearing objects in a scene. Further, the weak edges in a hazy image are not addressed. Hence, a video dehazing algorithm based on well designed spectral clustering is proposed. To avoid block artifacts, the spectral clustering is customized to segment static scenes to ensure the same target has the same transmission value. Assuming that edge images dehazed with optimized transmission values have richer detail than before restoration, an edge intensity function is added to the spatial consistency cost model. Atmospheric light is estimated using a modified quadtree search. Different temporal transmission models are established for newly appearing objects, static backgrounds, and moving objects. The experimental results demonstrate that the new method provides higher dehazing quality and lower time complexity than the previous technique.

• Journal of Engineering Education Research
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• v.23 no.2
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• pp.31-42
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• 2020

This study aims to analyze the research trends of female engineering students focused on domestic research and to suggest implications for future researches. For this purpose, 67 domestic researches (academic articles & graduate theses) which were published since 1996 were collected using the academic research information service and the National Assembly Library search service. All of these 67 researches have been reviewed and classified according to analytical criteria such as publication year, research method, journal's research field and research subjects. Our findings show that firstly, related research on female engineering students has been growing since 1996. Secondly, there were more researches of both academic journals and graduate theses, using quantitative method compared to those with the other research methods. Thirdly, the research themes could be classified as follows: gender-awareness, female engineering students'(hereafter, FES) psychological variables, customized education for FES, career related variables, FES's properties and counselling for them. Fourth, regarding the result of analysis on the research topic, 41.79% of the researches were related to FES's 'career' related factors as well as diverse correlates. Based on these findings, it is necessary to continue studying on FES using various research methods as well as adopting different research perspectives. Also, practical and educational treatments for FES are required with particular attention to their individual variables.

• Journal of Home Health Care Nursing
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• v.22 no.1
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• pp.59-68
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• 2015

Purpose: The purpose of this study was to analyze nursing research using data envelopment analysis and suggest directions for future research. Methods: We established -criteria literature search. e reviewed 45 from RISS, KISS, National assembly library and NDSL DB. Data were collected on December 17, 2013. developed analytic framework of literature reviews using Yun's study. This framework had 8 items related to approach of data envelopment analysis. Results: literature established -criteria. Average numbers of input and output variables were 2.4 and 4.2, respectively. All selected research conducted efficiency analysis, analysis, and inefficiency analysis. However only 3 research. Conclusion: he results of studysuggest that data envelopment are needed to enhance efficiencies of nursing organization as follows individual nurse's profiling to develop customized performance management plans; patient centered nursing interventions; and financial performance financial reports.

• Genomics & Informatics
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• v.11 no.4
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• pp.289-291
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• 2013

Human papillomavirus (HPV) infection is the leading cause of cancer mortality among women worldwide. The molecular understanding of HPV proteins has significant connotation for understanding their intrusion in the host and designing novel protein vaccines and anti-viral agents, etc. Genomic, proteomic, structural, and disease-related information on HPV is available on the web; yet, with trivial annotations and more so, it is not well customized for data analysis, host-pathogen interaction, strain-disease association, drug designing, and sequence analysis, etc. We attempted to design an online reserve with comprehensive information on HPV for the end users desiring the same. The Human Papillomavirus Proteome Database (hpvPDB) domiciles proteomic and genomic information on 150 HPV strains sequenced to date. Simultaneous easy expandability and retrieval of the strain-specific data, with a provision for sequence analysis and exploration potential of predicted structures, and easy access for curation and annotation through a range of search options at one platform are a few of its important features. Affluent information in this reserve could be of help for researchers involved in structural virology, cancer research, drug discovery, and vaccine design.

• Korean Journal of Applied Biomechanics
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• v.31 no.4
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• pp.249-258
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• 2021

Objective: The aim of this study was to analyze domestic and foreign studies using virtual reality or metaverse for exercise rehabilitation in order to help the disabled or elderly patients with exercise rehabilitation, and suggest a method for using metaverse for exercise rehabilitation. Method: In this study, after analyzing and discussing various information related to the metaverse and exercise rehabilitation through electronic search of recently published papers, academic journals, books, and internet websites, the exercise rehabilitation plan using the metaverse was proposed. Results: In the case of domestic research, the diversity of virtual reality application technology for the rehabilitation of disabled and elderly patients was not secured, but recently, virtual reality or metaverse-related technologies were developed and specialized in a form suitable for exercise rehabilitation. In the case of overseas studies, it was analyzed that exercise rehabilitation using virtual reality and metaverse games for the rehabilitation of disabled and elderly patients can help improve brain, physical ability, and anti-aging by activating the body and mind. Conclusion: Smart metaverse health care is actively introduced to exercise rehabilitation, metaverse telemedicine business is applied to exercise rehabilitation programs, and digital twin games and exercise rehabilitation programs developed by metaverse related companies take into account the characteristics of disabled and elderly patients. If customized smart metaverse healthcare is used for exercise rehabilitation, it is analyzed that it can lead this field.