• The Journal of Korean Medicine
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• v.33 no.3
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• pp.46-53
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• 2012

Objectives: Many cancer patients have been using Korean medicine with conventional medical care. This study aimed to look into current status of Korean medicine in cancer patients in Korea. Methods: We reviewed utilization of Korean medicine for cancer by searching DB (KoreaMed, KMbase, KISS, NDSL, KISTI, National Assembly Library, OASIS, Korean Traditional Knowledge Portal). The first search keyword used was "cancer" and the second keyword used was either "oriental", "alternative" or "complementary". Results: The utilization rate of Korean medicine was 31.0%. In terms of patient's disease characteristics, most of them were suffering from stomach cancer, lung cancer and colon cancer. Most of them were diagnosed as fourth stage of cancer. Ginseng (14.8%) was a favorite Korean medicine, followed by medicinal treatment (8.1%), acupuncture (3.1%), moxibustion (3.0%), and cupping (2.1%). Conclusions: In Korea, one third of cancer patients are using Korean medicine. We need to know the expectations and demand for Korean medicine for treating cancer and establish our strategy to attract public attention.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.97-125
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• 2024

The purpose of this study is to increase access to information on old maps and to discuss efficient ways to utilize old maps, such as providing services and information using old maps. To this end, the information search system of domestic institutions that provide old map information was investigated, and methods of searching for old map data and accessing information were searched on the website. In addition, the current status of the collection of old maps in domestic libraries and museums was analyzed by referring to the homepage, book, research book, and publication of each institution. As a result of the analysis, about 2,200 old maps were housed in 76 institutions, including national, public, and university libraries and museums nationwide. Each institution in the collection of old maps was carrying out publication business, such as publication of English manuscripts, exhibitions and books, publication of research document edits such as lists and summaries. However, reading and using of original documents are limited due to the rare nature of old maps and the data characteristics of the only one. In order to effectively utilize old maps, first, it is necessary to improve access to old map information services and expand academic information services. Second, it is proposed to use old maps as data for archival construction that reflects the identity of the region. Third, it is necessary to cultivate professional manpower who selects and provides information based on knowledge of old map data and humanities literacy.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.251-268
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• 2024

Recently, with the implementation of the "e-Government Performance Management Guidelines," there is a growing demand for setting performance indicators for information systems. For systems that provide information services to the public, such as CODIL, it is not easy to set performance indicators. This study presented a research model that applies Monte Carlo simulation to set expected performance targets that can be achieved through CODIL based on objective evidence. Among the survey contents conducted from 2015 to 2023, the statistical characteristics of user satisfaction regarding the frequency of use of construction technology information provided by CODIL were designated as input variables. Future expected targets and confidence intervals from 2024 to 2026 were designated as outcome variables. The expected target value was measured by generating 5 simulation alternatives and 1,000 random numbers for each alternative. Next, the measured expected goals were interpreted and compared with the results of time series regression analysis measured in previous studies. Although, as in previous studies, the expected target value could not be predicted based on time series regression analysis that considers the correlation between years. However, compared to previous studies, this study can be considered a more accurate analysis result because it predicted the expected target value based on 5,000 input variables.

• The Journal of Internal Korean Medicine
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• v.43 no.6
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• pp.1149-1161
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• 2022

Purpose: This systematic review was conducted to evaluate the clinical effects of Injinho-tang on hyperbilirubinemia in hepatobiliary disorders. Methods: We searched for randomized controlled clinical trials that had administered Injinho-tang as an intervention in the following medical databases: Public/Publisher MEDLINE (PubMed), Excerpta Medica dataBASE (EMBASE), Cochrane library, Research Information Sharing Service (RISS), ScienceON, Oriental Medicine Advanced Searching Integrated System (OASIS), and China National Knowledge Infrastructure (CNKI). Among the retrieved studies, only trials that met the inclusion criteria were selected, and serum total bilirubin values were extracted and analyzed from the finally selected trials. Results: The serum total bilirubin values of 1,302 patients with various hepatobiliary diseases were synthesized through a meta-analysis, which confirmed a decrease in serum total bilirubin of 21.03 𝜇mol/L (95% CI -29.58~-12.49, p<0.01) in the group administered with Injinho-tang compared with the control group. Conclusions: Injinho-tang is effective in alleviating hyperbilirubinemia in hepatobiliary diseases when administered with conventional treatment. However, the potential risk of bias, high heterogeneity among the included trials, and differences in herbal composition are limitations of the results of this meta-analysis.

• KIEAE Journal
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• v.8 no.3
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• pp.61-68
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• 2008

The development of urbanization in the twentieth century according to the rampant growth of industrialization not only brought about the improvement of life-quality but also induced us to reconsider the contemporary issues such as crisis of echo system which made us aware of the values and significance of the system and sustainable environments. As sustainability has been recognized as the holistic concept, it has been highlighted as one of the core concepts in the studies with the present ecological perspective. Particularly, as the plan of urbanization in Korea which had been based on the deconstruction has been converted into the regeneration, economic and cultural regeneration is also demanded for the future plan besides material regeneration. This study aims to scrutinize various attributes of socially sustainable designs in Yerba Buena Garden of San Francisco, USA which has been globally well known as a successful example of urban regeneration. By way of visit-and-observation of the place, the research for the study was conducted during the month of December, 2007. Three researchers visited Yerba Buena Garden to observe and take photographs and to obtain relevant data and public documents in local public library. Socially sustainable design was measured on the basis of such principles; social facilitation, permeability and accessibility, safely and emotional stability, softness and feminism, and child care convenience. Relevant data were systematically organized to support and prove the above principles. The result of the study is expected to effectively be utilized for Korean environment plan and design as a benchmarking guidelines against the crisis of degeneration and the aging society with the lowest birthrates in the world.

• Korean Journal of Computational Design and Engineering
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• v.12 no.2
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• pp.137-145
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• 2007

This paper concerns about residential environment analysis program implementation for design and analysis on public housing complexes such that view and daylight analysis processes are automated and integrated into existing design routine to achieve better design efficiency. Considering the architectural design trends this paper chooses ArchiCAD as a platform for a CAD system, which contains the concepts such as integrated object-oriented CAD, virtual building and BIM. Residential environment analysis system consists of three components. The first component is the 3D modeling part defining 3D form information for external geographic contour models, site models and interior/exterior of apartment buildings. The second is the parametric library part handling the design parameters for view and daylight analysis. The last is the user interface for the input/output and integration of data for the environment analysis. Daylight analysis shows rendered images as well as results of daylight reports and grades per time and performs the calculations for floor shadow. It separates the site-only analysis from the analysis of site and exterior environmental parameters. View analysis considers horizontal and vertical view angles to produce view image from each unit and uses the bitmap analysis method to determine opening ratio, scenery ratio and void ratio. We could expect better performance and precision from this residential environment analysis system than the existing 2D drawing based view and daylight analysis methods and overcome the existing one-way flow of design information from 3D form to analysis reports so that site design modifications are automatically reflected on analysis results. Each part is developed in a module so that further integration and extension into other related estimation and construction management systems are made possible.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.04a
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• pp.123-123
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• 2003

In order to study gene expression transcribted during the embryo development, we constructed a cDNA library of embryogenic callus induced from cotylendon of Korean ginseng and generated expressed sequence tags (ESTs) of 3,359 clones randomly selected. The ESTs could be clustered into 1,910 (59.1%) non-redundant groups. Similarity search of the non-redundant ESTs against public non-redundant databases of both protein and DNA indicated that 2,217 groups show similarity to genes of known function. These ESTs clones were divided into eighteen categories depending upon gene function. Most abundant transcripts were ribosomal protein small subunit 28kDa(40), tumor-related protein(35), metallothionein (31), small heat-shock protein class 18.6K(24), and cyclophilin(20). There are no useful informations of gene expression during the embryo development in Korean ginseng. These results could help to understand the embryo development in Korean ginseng.

• Journal of the Korean Society for information Management
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• v.26 no.1
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• pp.371-387
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• 2009

National Institute of Korean History(NIKH) is the major collecting organization of manuscripts, records for historical research and develops a Collecting Manuscripts Management System. Manuscripts description conforms to records management system, such as provenance information and hierarchical catalog records and business process observes library management system because it is not the public records. Goal system is integrated system containing both. This study proposes development of Collecting Historical Manuscripts Management System in the NIKH and the aspects to achieve successful system operation.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.47-72
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• 2022

This study aims to understand the trends of subjects related to real estate policies and public's emotional opinion on the policies. Two keywords related to real estate policies such as "real estate policy" and "real estate measure" were used to collect tweets created from February 25, 2008 to August 31, 2021. A total of 91,740 tweets were collected and we applied sentiment analysis and dynamic topic modeling to the final preprocessed and categorized data of 18,925 tweets. Sentiment analysis and dynamic topic model analysis were conducted for a total of 18,925 posts after preprocessing data and categorizing them into supply, real estate tax, interest rate, and population variance. Keywords of each category are as follows: the supply categories (rental housing, greenbelt, newlyweds, homeless, supply, reconstruction, sale), real estate tax categories (comprehensive real estate tax, acquisition tax, holding tax, multiple homeowners, speculation), interest rate categories (interest rate), and population variance categories (Sejong, new city). The results of the sentiment analysis showed that one person posted on average one or two positive tweets whereas in the case of negative and neutral tweets, one person posted two or three. In addition, we found that part of people have both positive as well as negative and neutral opinions towards real estate policies. As the results of dynamic topic modeling analysis, negative reactions to real estate speculative forces and unearned income were identified as major negative topics and as for positive topics, expectation on increasing supply of housing and benefits for homeless people who purchase houses were identified. Unlike previous studies, which focused on changes and evaluations of specific real estate policies, this study has academic significance in that it collected posts from Twitter, one of the social media platforms, used emotional analysis, dynamic topic modeling analysis, and identified potential topics and trends of real estate policy over time. The results of the study can help create new policies that take public opinion on real estate policies into consideration.