• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.35-45
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• 2012

Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.527-538
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• 2014

The demand prediction is a critical issue for the film industry. As the social media, such as Twitter and Facebook, gains momentum of late, considerable efforts are being dedicated to prediction and analysis of hit movies based on unstructured text data. For prediction of trends found in commercially successful films, the correlations between the amount of data and hit movies may be analyzed by estimating the data variation by period while opinion mining that assigns sentiment polarity score to data may be employed. However, it is not possible to understand why the audience chooses a certain movie or which attribute of a movie is preferred by using such a quantitative approach. This has limited the efforts to identify factors driving a movie's commercial success. In this regard, this study aims to investigate a movie's attributes that reflect the interests of the audience. This would be done by extracting topic keywords that represent the contents of Twits through frequency measurement based on the collected Twitter data while analyzing responses displayed by the audience. The objective is to propose factors driving a movie's commercial success.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.15 no.1
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• pp.65-74
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• 2020

Objectives : This study aimed to evaluate the randomized controlled clinical trials (RCTs) analyzing the effectiveness of Chuna manual therapy (CMT) for benign prostatic hyperplasia (BPH). Methods : Among the literature published until May 2020, a literature search was carried out using 10 electronic databases using related keywords to identify all RCTs that applied CMT for the treatment of BPH. The Cochrane risk of bias tool was used to assess the methodological quality of each RCT. Results : Five RCTs met our inclusion criteria and were included in the analysis. These studies showed that CMT had no positive results compared to herbal medication. However, positive results were shown in terms of an increased efficacy rate, reduced international prostate symptom scores, and increased maximum flow rate when CMT was combined with acupuncture or herbal medication. Conclusions : Based on the analysis, this review has limited evidence of CMT being beneficial in the treatment of BPH. Therefore, further investigation is required using well-designed RCTs to support the effectiveness of CMT and to obtain higher evidence.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.7011-7016
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• 2013

Background: The liver fluke, Opisthorchis viverrini, and the associated incidence of subsequent cholangiocarcinoma (CCA) are still a public health problem in Thailand, and praziquantel (PZQ) remains the antihelminthic drug of choice for treatment. Evidence in hamsters shows that repeated infection and PZQ treatments could increase the risk of CCA. However, the existing evidence in humans is inconclusive regarding increased risk of CCA with frequency of PZQ intake. Objectives: To investigate the relationship between number of repeated PZQ treatments and CCA in patients with O viverrini infection. Materials and Methods: The reviewed studies were searched in EMBASE, MEDLINE, ProQuest, PubMed and SCOPUS from inception to October, 2012 using prespecified keywords. The risk of bias (ROB) of included studies was independently assessed by two reviewers using a quality scale from the Newcastle-Ottawa Scale (NOS). Risk effect of PZQ was estimated as a pooled odds ratio (OR) with its 95% confidence interval (95%CI) in the random-effects model using DerSimonian and Laird's estimator. Results: Three studies involving 637 patients were included. Based on the random effects model performed in two included studies of 237 patients, the association between PZQ treatments and CCA was not statistical significant with a pooled OR of 1.8 (95%CI; 0.81 to 4.16). Conclusions: The present systematic review and meta-analysis provides inconclusive evidence of risk effect of PZQ on increasing the risk of CCA and significant methodological limitations. Further research is urgently needed to address the shortcomings found in this review, especially the requirement for histological confirmation.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.139-149
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• 2018

Since the 17th century, international trade has increased as a result of the development in the navigation skills. Recently, maritime transport, compared to other modes, is used more than 70% worldwide by shippers and ports, and it also has become essential in international trade. Most researchers focused only on port development, in topics like ensuring depth of water, port competition and port governance, but have left some topics undone, such as environment, ecosystem and balanced development. Therefore, this study provides insight to the academic world in port research using SNA (Social Network Analysis). The result of the SNA study shows that Baltic Sea ports researchers have focused on "Shipping", "Marine ecosystem"and "Pollution". The implications of this study are: first, the environment has become a main issue in the research field; second, the results suggest focusing on the main keywords from the keyword network. This study has some limitations such as excluding domestic journals and focusing in the recent 10 years.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.89-98
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• 2007

For browsing, searching, and manipulating video documents, an indexing technique to describe video contents is required. Until now, the indexing process is mostly carried out by specialists who manually assign a few keywords to the video contents and thereby this work becomes an expensive and time consuming task. Therefore, automatic classification of video content is necessary. We propose a fully automatic and computationally efficient method for analysis and summarization of spots news video for 5 spots news video such as soccer, golf, baseball, basketball and volleyball. First of all, spots news videos are classified as anchor-person Shots, and the other shots are classified as news reports shots. Shot classification is based on image preprocessing and color features of the anchor-person shots. We then use the dominant color of the field and motion features for analysis of sports shots, Finally, sports shots are classified into five genre type. We achieved an overall average classification accuracy of 75% on sports news videos with 241 scenes. Therefore, the proposed method can be further used to search news video for individual sports news and sports highlights.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.568-573
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• 2009

Marine accidents have always caused huge economic losses, as well as environmental pollution. Prevention of marine accidents has become a focus of argumentation. The analysis of past accident cases, reviewing the experience and lessons, is important and necessary for preventing marine accidents. With the same subject above, the Korean Maritime Safety Tribunal provides for past marine accidents' written judgments and analysis of judgment and associated retrieval system on its homepage. In these systems, the name of the ship, accident occurrence time, accident pattern or related keywords are used as search conditions. However, most of the marine events' happening were not due to a single reason, but multiple ones. In addition, one marine event could often come under several categories. In this case, now the retrieval systems' DB is used on the Korean Maritime Safety Tribunal homepage was built based on single category and failed to be able to retrieve according to multiple reasons or multiple categories. In order to solve this problem, a more practical retrieval approach might be needed. Therefore, in this paper, a new retrieval system will be proposed, which using the linguistic label to describe the cluster after analyzing the relational properties between marine accidents and clustering by FCM algorithm, and then adding an interface to allow users to get the results they want through choosing multiple reasons or multiple categories.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.420-430
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• 2013

Purpose: The aim of this study was to review the literature to determine whether intensive pelvic floor muscle training during pregnancy and after delivery could prevent urinary and fecal incontinence. Methods: Randomized controlled trials (RCT) of low-risk obstetric populations who had done Kegel exercise during pregnancy and after delivery met the inclusion criteria. Articles published between 1966 and 2012 from periodicals indexed in Ovid Medline, Embase, Scopus, KoreaMed, NDSL and other databases were selected, using the following keywords: 'Kegel, pelvic floor exercise'. The Cochrane's Risk of Bias was applied to assess the internal validity of the RCT. Fourteen selected studies were analyzed by meta-analysis using RevMan 5.1. Results: Fourteen RCTs with high methodological quality, involving 6,454 women were included. They indicated that Kegel exercise significantly reduced the development of urinary and fecal incontinence from pregnancy to postpartum. Also, there was low clinical heterogeneity. Conclusion: There is some evidence that for antenatal and postnatal women, Kegel exercise can prevent urinary and fecal incontinence. Therefore, a priority task is to develop standardized Kegel exercise programs for Korean pregnant and postpartum women and make efficient use of these programs.

• Journal of the Korean Dietetic Association
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• v.12 no.2
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• pp.200-215
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• 2006

This study carried out to assess the quality of the information presented on the internet about nutrition specifically in the field of health functional food by monitoring with 10 panels from May, 2004 to October. Four hundred seven relevant websites were initially selected from a process using 5 search engines and the keywords ‘food’ and ‘nutrition’, and 404 sites actually met all inclusion criteria. Most of the sites evaluated 219 (54.20%) were commercial sites and then distributed noncommercial organization site 93 (23.0%), individual site 92(22.8%). Assessment quality indicator was carried out using the 17 necessary requisites, which has been developed to enable users and information providers to judge the quality of food and nutrition information. The mean score for quality grade was 11.07, five site out of a maximum score of 17 and two sites with the lowest total scores for the quality of food and nutrition information. Noncommercial organization site assessed achieved the highest score in accurate and useful informations to the public. Low ranked sites had the most inaccurate or misleading information, emphasizing only the positive aspects of the information, with little or no evidence. Many commercial sites used personal testimony as the most popular ‘proof’ for the effectiveness of product. This was anecdotal rather than scientific evidence based on which the objective validation was difficult to be made. Therefore, it can be challenging for both public and health professionals, to sort out useful information from a plethora of advertisements and promotions on the web sites. Our results suggest that nutrition professionals should talk about useful information of health, food and nutrition with public and help them find the best available information when using the internet.