• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.194-205
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• 2008

The production process of construction industry is different from thing of the general manufacturing, likewise various participants make temporary teamwork for success of the project through sharing of information. But, the each role of participants is Individually changed to step in construction process stage and moreover it has complicated, entangled interests. The CM(so it called Construction Management as an abbreviation word) system was inducted for the effective management and operation of construction project. The key of the CM success depends on the cooperative relationship relation to major participants. There are lots of studies and efforts for the performance measures of the CM, however existing performance index is only measured as the viewpoint of project owner. Therefore it needs to make up for balanced view through combination of the four-way view of participants. In this study, we should search for cooperative relationship of project participants, and then we should suggest to define the difference of project in their viewpoints.

• Journal of Korean Medicine Rehabilitation
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• v.29 no.2
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• pp.171-188
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• 2019

Objectives The purpose of this thesis is to compare and analyze outcomes of case studies and controlled studies about Hwangryunhaedok-tang (HHT) pharmacopuncture in clinical studies. Based on these studies reporting clinical effects by using HHT pharmacopuncture, we object to deduct the comparative review in applying clinical disorders limitedly. And conclusionally, by using this comparative review, we aim to make the fine evidence in treating clinical specific diseases. Methods We searched 106 studies about HHT pharmacopuncture from 6 Korean web databases by using in Korean word 'Hwangryunhaedok-tang pharmacopuncture'. This search had been progressed throughout 1 month (January, 2019). There was 106 thesis and we excluded studies that are not related to HHT pharmacopuncture, experimental research, not the case report or randomized controlled trials, non-randomized controlled trials, not using HHT pharmacopuncture, not using only one pharmacopuncture, and not using HHT pharmacopuncture for major treating method. As a result, 39 thesis are selected as a population. Results We analyzed 34 case reports and 5 controlled studies. As the final outcome, HHT pharmacopuncture was used in musculoskeletal diseases, dermatopathy, and 32 specific diseases. Conclusions After analyzing 39 studies, effective symptom changes clinically and statistically by using HHT pharmacopuncture herbal acupuncture were identified. However, these thesis designs were reported deficiently in many parts such as not excluding other confounding variables. After modifying defects of thesis design and conduct study, it can play a role as the evidence using HHT pharmacopuncture more precisely.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.661-670
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• 2019

The purpose of the study was to review the evidence of effects of virtual reality (VR) technology in nursing education. Four databases were searched for articles publised until November 2018 that databases include PubMed, Proquest (nursing and allied health), CINAHL, & RISS. Key word used for search include 'education, nursing', 'simulation', 'skill training', 'virtual reality' and 'VR'. Of 695 papers searched, Seven studies were selected for data analysis. Of seven studies, five studies used quasi-experimental design and two used one group design. There were two studies used VR technology for skill training and five were scenario based VR simulation program. Studies evaluated outcomes including students performance, time spent on practice, self-efficacy and communication ability that most studies reported positive effects while some figures were not statistically significant. The findings of this study provides evidence of nursing education program using VR, however, additional research with rigorously designed studies using systematized measurements for study outcomes are required. In addition, comparison with existing skill training and simulation education should be considered in the future studies.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.4
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• pp.175-186
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• 2018

These days, due to increased income levels, lower birthrate, and increased marriage age, interest and investment in children has increased, and infant & children's clothes has become more upgraded, differentiated, and diversified. In accordance with the change of the infant & children's clothes market, Examine the research trends of the papers in the journals. Used 'KISS', 'DBpia', 'Korea Institute of Science and Technology Information', in the search system, and 137 papers were searched for by using key word, 'infant's clothes' and 'children's clothes'. The year of publication is limited to 2001 to 2017, and they are classified into 5-year units and again the papers were classified by year, by journal, by field of clothing research (Technical Design & Production, Fashion Marketing, Textile System, Fashion Design), and frequency and percentage were used as data analysis. The number of articles related to infant & children's clothes increased such as 39 in 2001~2005, 43 in 2006~2010, and 55 in 2011~2017. The distribution of articles by journals has been published mainly in the journal of the Korean Society of Clothing and Textiles, but as the journals were diversified, they were distributed evenly in other journals related to the apparel. In the presentations according to the research field by year, from 2001 to 2005, the ratio of apparel design and production was high, but since 2006, many papers related to fashion marketing and fashion design have been published. The research contents of the field of clothing research are as follows: 41 articles in design production field, focusing on dimensional system and pattern design, 40 articles in fashion design field, focusing on design development and design preferences, 46 articles in fashion marketing field, focusing on consumer behavior and marketing management. And 10 articles in apparel material system field, focusing on research on cloth science materials, but they are less well studied than others, but these studies should be actively pursued in the future.

• The Journal of Korean Obstetrics and Gynecology
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• v.34 no.4
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• pp.97-110
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• 2021

Objectives: This study was performed to review the research trends in the relationship between primary dysmenorrhea and doppler indicies of uterine artery. Methods: The search for related papers used 'Pubmed', a reserch engine in the America National Library of Medicine and Korean studies Information Service System (KISS). Used searching terms were 'primary dysmenorrhea', 'menstrual pain' in all cases. And among these studies, we searched by using key word 'uterine artery', 'doppler indices', 'doppler parameters', 'pulsatile index', 'resistance index'. Results: Overall 49 studies, 8 studies were finally selected to this study. There were 6 controlled studies and 2 randomised-controlled studies. In all 8 studies, transvaginal ultrasound was used to measure the resistance of uterine blood vessels. All of these studies reported that in patients with primary dysmenorrhea, hemodynamic values of uterine arteries measured by Doppler ultrasound were significantly higher than in normal subjects. Conclusions: According to the results, it was found that there was a positive correlation between the pain level of primary dysmenorrhea and the pulsation index and resistance index of the uterine artery. Based on these results, it can be seen that the doppler indicies of uterine artery have the potential to be used as an evaluation scale for Korean traditional medicine for primary dysmenorrhea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.172-178
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• 2020

In order to recommend contents, the company generally uses collaborative filtering that takes into account both user preferences and video (item) similarities. Such services are primarily intended to facilitate user convenience by leveraging personal preferences such as user search keywords and viewing time. It will also be ranked around the keywords specified in the video. However, there is a limit to analyzing video similarities using limited keywords. In such cases, the problem becomes serious if the specified keyword does not properly reflect the item. In this paper, I would like to propose a system that identifies the characteristics of a video as it is by the system without human intervention, and analyzes and recommends similarities between videos. The proposed system analyzes similarities by taking into account all words (keywords) that have different meanings from training videos, and in such cases, the methods handled by big data clusters are applied because of the large scale of data and operations.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.2
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• pp.69-76
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• 2023

Hundreds of thousands of passwords are lost or forgotten every year, making the necessary information unavailable to legitimate owners or authorized law enforcement personnel. In order to recover such a password, a tool for password cracking is required. Using GPUs instead of CPUs for password cracking can quickly process the large amount of computation required during the recovery process. This paper optimizes on GPUs using CUDA, with a focus on decryption of the currently most popular PDF 1.4-1.6 version. Techniques such as eliminating unnecessary operations of the MD5 algorithm, implementing 32-bit word integration of the RC4 algorithm, and using shared memory were used. In addition, autotune techniques were used to search for the number of blocks and threads that affect performance improvement. As a result, we showed throughput of 31,460 kp/s (kilo passwords per second) and 66,351 kp/s at block size 65,536, thread size 96 in RTX 3060, RTX 3090 environments, and improved throughput by 22.5% and 15.2%, respectively, compared to the cracking tool hashcat that achieves the highest throughput.

• Journal of People, Plants, and Environment
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• v.23 no.2
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• pp.233-243
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• 2020

This study collects social big data used in various fields in the past 9 years and explains the patterns of major keywords of the arboretums and botanical gardens to use as the basic data to establish operational strategies for future arboretums and botanical gardens. A total of 6,245,278 cases of data were collected: 4,250,583 from blogs (68.1%), 1,843,677 from online cafes (29.5%), and 151,018 from knowledge search engine (2.4%). As a result of refining valid data, 1,223,162 cases were selected for analysis. We came up with keywords through big data, and used big data program Textom to derive keywords of arboretums and botanical gardens using text mining analysis. As a result, we identified keywords such as 'travel', 'picnic', 'children', 'festival', 'experience', 'Garden of Morning Calm', 'program', 'recreation forest', 'healing', and 'museum'. As a result of keyword analysis, we found that keywords such as 'healing', 'tree', 'experience', 'garden', and 'Garden of Morning Calm' received high public interest. We conducted word cloud analysis by extracting keywords with high frequency in total 6,245,278 titles on social media. The results showed that arboretums and botanical gardens were perceived as spaces for relaxation and leisure such as 'travel', 'picnic' and 'recreation', and that people had high interest in educational aspects with keywords such as 'experience' and 'field trip'. The demand for rest and leisure space, education, and things to see and enjoy in arboretums and botanical gardens increased than in the past. Therefore, there must be differentiation and specialization strategies such as plant collection strategies, exhibition planning and programs in establishing future operation strategies.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.287-294
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• 2022

The purpose of this study is to find out consumers' perceptions of "metaverse," a newly spotlighted technology, through big data analysis as a non-face-to-face society continues after the outbreak of COVID-19. This study conducted a big data analysis using text mining to analyze consumers' perceptions of metaverse before and after COVID-19. The top 30 keywords were extracted through word purification, and visualization was performed through network analysis and concor analysis between each keyword based on this. As a result of the analysis, it was confirmed that the non-face-to-face society continued and metaverse emerged as a trend. Previously, metaverse was focused on textual data such as SNS as a part of life logging, but after that, it began to pay attention to virtual reality space, creating many platforms and expanding industries. The limitation of this study is that since data was collected through the search frequency of portal sites, anonymity was guaranteed, so demographic characteristics were not reflected when data was collected.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.53-59
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• 2022

The purpose of this study is to examine the factors related to learning through analysis of domestic research trends in literacy and to present the direction of literacy education. Research papers from 1993 to February 2022 were collected using RISS. 'Literacy' and 'Education' were used as search keywords, and 200 papers were selected for analysis. As a result of analysis using keyword network analysis, 118 keywords appeared at least three times out of a total of 810 keywords. The order of the keywords with the highest frequency is 'digital literacy', 'media literacy', and 'elementary school'. The following direction was suggested through the analysis results. First, it is required to establish an online teaching and learning resource platform and link it with education policy. Second, it is necessary to set literacy competencies and seek ways to improve competencies. Third, a digital-based convergence education model should be developed. This study is meaningful in that it analyzed the most recent literacy studies and suggested the direction of literacy education.