• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.601-605
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• 2009

Recently, photo sharing and publishing based Social Network Sites(SNSs) are increasingly attracting the attention of academic and industry researches. Millions of users have integrated these sites into their daily practices to communicate with online people. In this paper, we propose an efficient face annotation and retrieval system under SNS. Since the system needs to deal with a huge database which consists of an increasing users and images, both effectiveness and efficiency are required, In order to deal with this problem, we propose a face annotation classifier which adopts an online learning and social decomposition approach. The proposed method is shown to have comparable accuracy and better efficiency than that of the widely used Support Vector Machine. Consequently, the proposed framework can reduce the user's tedious efforts to annotate face images and provides a fast response to millions of users.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.389-396
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• 2008

In these days, various kinds of web applications based on web 2.0 paradigm have been developed. In web 2.0 paradigm pursuing participation, sharing, and openness on the web-as-platform, web mapping or web GIS application are regarded as top most applications, so that web applications, handling geo-spatial contents, with user-interaction interface and search engine of high performance have been provided for both public users and expert users in the special domains. Public and industrial needs for web mapping mashup application by open API, linked with the practical web computing technologies, are gradually increasing. In this study, a user interface in mashup for geo-spatial feature generation was implemented by using mainly Google maps API. Spatial database resources in this implementation are those of Google mapping server. As the results, public users on web client can create their own geo-spatial data sets in web vector formats, without the help of any GIS tools or access to proprietary databases. It is concluded that web-based mashup application in client-side using open API can be used as an alternative for geo-browsing system or portable feature generation system.

• Journal of Pharmacopuncture
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• v.24 no.3
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• pp.93-106
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• 2021

This study aimed to analyze the use of Korean medicine treatments for alopecia in among clinical studies. We identified and analyzed 22 studies from Korean databases; Oriental Medicine Advanced Searching Integrated System (OASIS), Science ON, Korean Studies Information Service System (KISS), and Research Information Sharing Service (RISS) and international database; PubMed. We analyzed the Korean medical treatment in each case and determined the tendency to use each intervention. We analyzed 1,464 patients from 22 selected studies. Herbal medicine, acupuncture, external medicine or products, pharmacopuncture, and phototherapy were used for alopecia treatment. The herbal medicines mainly used to treat alopecia were Gagam Cheongyoung-tang, Gagam Hwajung-hwan, and Yukmijihwang-tang·hwan. The acupoints primarily used were GV20, EX-HN1, GB5, KI3, PC6, ST36, GV22, and A-shi. The most commonly used pharmacopuncture therapies were Hwangryunhaedoktang (HH), Carthami Fructus (CF), Bee Venom (BV), and Hominis placenta (HP). The Korean medical treatment for alopecia improved the condition of patients. However, seven studies reported the occurrence of side effects such as pruritus, dazed, drowsiness, headache, pain, and diarrhea. This study shows the potential of Korean medicine for the treatment of alopecia. Further studies with a large sample size and long-term follow-up are warranted to establish the primary treatment guidelines and objective outcome measures for alopecia.

• Genomics & Informatics
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• v.17 no.2
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• pp.17.1-17.3
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• 2019

Text mining has become an important research method in biology, with its original purpose to extract biological entities, such as genes, proteins and phenotypic traits, to extend knowledge from scientific papers. However, few thorough studies on text mining and application development, for plant molecular biology data, have been performed, especially for rice, resulting in a lack of datasets available to solve named-entity recognition tasks for this species. Since there are rare benchmarks available for rice, we faced various difficulties in exploiting advanced machine learning methods for accurate analysis of the rice literature. To evaluate several approaches to automatically extract information from gene/protein entities, we built a new dataset for rice as a benchmark. This dataset is composed of a set of titles and abstracts, extracted from scientific papers focusing on the rice species, and is downloaded from PubMed. During the 5th Biomedical Linked Annotation Hackathon, a portion of the dataset was uploaded to PubAnnotation for sharing. Our ultimate goal is to offer a shared task of rice gene/protein name recognition through the BioNLP Open Shared Tasks framework using the dataset, to facilitate an open comparison and evaluation of different approaches to the task.

• Journal of Korean Medicine for Obesity Research
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• v.18 no.2
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• pp.128-143
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• 2018

Objectives: The purpose of this study is to investigate the efficacy and the mechanisms of dietary supplements in cellulite treatment, and then to provide the theoretical and clinical basis for the cellulite treatment in Korean Medicine. Methods: We searched for articles from Korea, China, and English electronic database (Koreanstudies Information Service System [KISS], National Digital Science Library [NDSL], KMbase, Research Information Sharing Service [RISS], Oriental Medicine Advanced Searching Integrated System [OASIS], National Assembly Library, Korean Traditional Knowledge Portal, Google scholar, PubMed, Scopus, China National Knowledge Infrastructure [CNKI]) until April 2018. We chose clinical trial studies by inclusion criteria through titles, abstracts and articles. Results: A total of 10 studies were selected through search. The experimental group had shown more effective cellulite improvement in 90% of studies. Also, improvement of symptoms related with cellulite like pain, edema, heaviness and increase of skin surface temperature were observed in experimental group. In addition, the density of connective tissues of the dermal layer was increased in experimental group. Conclusions: The use of dietary supplements in cellulite treatment is thought to be effective through mechanisms that antioxidant efficacy, microcirculation improvement, interstitial matrix improvement, diuretic effect, and skin metabolic activity effect.

• Journal of Korean Academy of Nursing
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• v.49 no.3
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• pp.225-240
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• 2019

Purpose: The purpose of this study was to evaluate the effects of reminiscence therapy on depressive symptoms in older adults with dementia using a systematic review and meta-analysis. Methods: Randomized controlled trials (RCTs) published from January 2000 to January 2018 were searched through Research Information Sharing Service (RISS), Korean Studies Information Service System (KISS), Korean Medical Database (KMbase), KoreaMed, PubMed, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Ovid MEDLINE. Two researchers independently performed the search, selection, and coding. Comprehensive Meta-Analysis 3.0 was used for meta-analysis, and Review Manager program 5.3 was used for quality assessment. Results: Out of the 1,250 retrieved articles, 22 RCTs were selected for analysis. The overall effect size of reminiscence therapy for mitigating depressive symptoms in older adults with dementia was -0.62 (95% Cl: -0.92 to -0.31). The effect size was greater in older adults under 80, those with less disease severity, and those for whom the therapy session lasted less than 40 minutes. Conclusion: Reminiscence therapy is an effective non-pharmacological therapy to improve depressive symptoms in older adults with dementia. Because its effectiveness is also influenced by age, disease severity, and application method, it is necessary to consider treatment designs based on individual characteristics as well as methodological approaches.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.49-55
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• 2019

In this paper, we propose ontology-based recommendation system for supporting maintenance of Korean architectural heritage. This study includes the following: 1) design of ontology expressing repair information of architectural heritage, 2) creation of repair case DB, 3) creation of a recommendation system of repair method. For this study, we designed the ontology that expresses the information of Korean wooden building cultural heritage by referring to the existing heritage ontologies. Second, we created the repair information database based on the repair contents and the expert interview data provided by the National Institute of Cultural Heritage and the Cultural Heritage Administration. Third, we developed a system that recommends the repair method of Korean wooden architectural heritage with the most similar phenomena and causes. This study contributes to sharing repair knowledge and determining repair methods for architectural heritage repair.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.6
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• pp.39-46
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• 2019

In the 21st century, medical facility projects are required to operate appropriate digital technologies as the development of technology and the interests of various participants become more complex. In order for architects to successfully lead negotiations among various stakeholder groups, it is necessary to plan for effective communication through appropriate design reflecting their opinions and coordination of conflicts. For this purpose, building information modeling (BIM), which is a method of designing based on knowledge information related to medical facilities in the building database, can respond to change of order promptly and minimizes the occurrence of design errors can do. Recently, BIM technology and cloud computing technology in ICT have been combined and research on cloud BIM has been actively carried out. The use of cloud computing technology in BIM-based healthcare facility projects can effectively support decision making among project participants and has the advantage of sharing and collaborating on various forms of information generated during the design process, regardless of location and time. Therefore, the purpose of this study is to build of system that can support the design of medical facility using cloud computing technology in BIM.

• The Journal of Internal Korean Medicine
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• v.41 no.6
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• pp.933-946
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• 2020

Objective: The aim of this study was to provide a systematic review of the Korean literature on the influence of herbal medicine on liver function. Additionally, we tried to estimate the change in the data on liver function tests (LFTs) and the incidence of liver injury (LI) after taking herbal medicine. Methods: Systematic literature searches were performed on 6 major Korean databases (Research Information Sharing Service (RISS), Korea Institute of Science and Technology information (KISTI), National Assembly Electronic Library, Korean Medical database (KMBASE), Korean Traditional Portal, and Dongui University Electronic Library) from January 2010 to June 2020. No restrictions were placed on the types of publications, which included grey literature. Results: The data indicate that herbal medicine might be a minor cause of LI in Korea. However the results are not supported strongly enough to verify the safety issues because of the limitations of the original studies. Conclusions: Additional well-planned studies are still needed that can overcome the heterogeneity and the considerable methodological flaws in the analyzed studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.947-971
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• 2022

The Electronic Medical Record (EMR) is a valuable source of medical data intelligence in e-health systems. The watermarking techniques have been used to authenticate the owner and protect the EMR from illegal copying. The existing distributive strategies, successfully operated to secure the EMR, are found to be inadequate. Blockchain technology, mainly, is employed by a sharing database that allows the digital crypto-currency. It rapidly leads to the magnified expectations acme. In this excitement, the use of consortium adopting the technology based on Blockchain, in the EMR structure, is found improving. This type of consortium adds an immutable share with a translucent record of the entire business and it is accomplished with responsibility, along with faith and transparency. The combination of watermarking and Blockchain technology provides a singular chance to promote a secured, trustworthy electronic documents administration to share with the e-records system. The authors, in this article, present their views on consortium Blockchain technology which is incorporated in the EMR system. The ledger, used for the distribution of the block structure, has team healthcare models based on dissimilar multiple image watermarking techniques.