• Title/Summary/Keyword: Big Five

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Knowledge Extractions, Visualizations, and Inference from the big Data in Healthcare and Medical

  • Kim, Jin Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.5
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    • pp.400-405
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    • 2013
  • The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based on Data Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS, and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extracts logical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refines and manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using the DT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, in Inference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

Analysis of 'Better Class' Characteristics and Patterns from College Lecture Evaluation by Longitudinal Big Data

  • Nam, Min-Woo;Cho, Eun-Soon
    • International Journal of Contents
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    • v.15 no.3
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    • pp.7-12
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    • 2019
  • The purpose of this study was to analyze characteristics and patterns of 'better class' by using the longitudinal text mining big data analysis technique from subjective lecture evaluation comments. First, this study classified upper 30% classes to deduce certain characteristics and patterns from every five-year subjective text data for 10 years. A total of 47,177courses (100%) from spring semester 2005 to fall semester 2014 were analyzed from a university at a metropolitan city in the mid area of South Korea. This study extracted meaningful words such as good, course, professor, appreciation, lecture, interesting, useful, know, easy, improvement, progress, teaching material, passion, and concern from the order of frequency 2005-2009. The other set of words were class, appreciation, professor, good, course, interesting, understanding, useful, help, student, effort, thinking, not difficult, explanation, lecture, hard, pleasant, easy, study, examination, like, various, fun, and knowledge 2010-2014. This study suggests that the characteristics and patterns of 'better class' at college, should be analyzed according to different academic code such as liberal arts, fine arts, social science, engineering, math and science, and etc.

A Study on Trends Related to Boryeong Mud Festival Using Tourism Big Data Analysis (관광 빅데이터 분석을 활용한 보령머드축제 관련 동향 탐색 연구)

  • Han Jangheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.3
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    • pp.165-175
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    • 2023
  • Boryeong Mud Festival has become a representative local festival that both domestic and foreign tourists can enjoy together. In addition, it is one of the usual hands-on marine festivals in Korea that can be enjoyed with one mind at the Boryeong Mud Festival, regardless of race, age, and language. This study explored the overall perception and trends of the Boryeong Mud Festival using big data extracted online from the Boryeong Mud Festival. First, keywords such as Chungnam, hosting, summer, reporter, experience, opening ceremony, performance, operation, news, tourist, opening, event, and festival were frequently exposed online. Second, due to centrality analysis, the centrality of festival experience programs and performances, opening ceremonies, and Boryeong mayor was high. Third, due to the CONCOR analysis, five clusters of meaningful keywords related to the Boryeong Mud Festival were formed.

A Study of Influence of B anker's Big5 Personality Traits on Entrepreneurial Intention: Mediated Effect of Digital Media Utilization Capability (은행원의 Big5 성격요인이 창업의도에 미치는 영향: 디지털미디어 활용역량의 매개효과)

  • Kim, Kyong seon;Park, Woojin;Bae, byung Yun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.2
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    • pp.209-220
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    • 2020
  • This study aimed to analyze characteristics of banker's personality who were engaged in five commercial banks (KB Kookmin Bank, Shinhan Bank, Woori Bank, KEB Hana Bank and NH Nonghyup Bank) with Big5 personality traits and also, investigate the influence of personality traits on entrepreneurial intention and digital media utilization capability, especially based on preceding research. Also, it analyzed mediated effect of digital media capability between Big5 personality traits and entrepreneurial intention. First, the analysis results of the influence of Big5 personality traits on the entrepreneurial intention showed that extroversion, openness had positive impact on the entrepreneurial intention but sincerity had negative impact on the entrepreneurial intention. Second, the friendliness, sincerity, openness had positive impact on contents utilization capability while openness had positive impact on the communication utilization capability. Third, the influence of communication utilization capability on the entrepreneurial intention was positive. Fourth, the mediated effect of digital media capability between Big5 personality traits and entrepreneurial intention discovered that the communication utilization capability mediated the openness and entrepreneurial intention. It's required to look for the bankers with extroversion, openness that positively influenced entrepreneurial intention and carry out systematic, practical entrepreneurship education to help set up actual business after retirement. This study successfully derive conclusion that it's in urgent need to improve entrepreneurship education program so that the bankers could strengthen their communication utilization capability and improve their capability to gather various information through entrepreneurship education and furthermore, create new value followed by starting their own business.

Post-Traumatic Big Toe Reconstruction using Anterolateral Thigh Free Flap: A Case Report (전외측 대퇴 유리피판을 이용한 외상 후 족무지 재건: 증례 보고)

  • Wang, Jae-Kwon;Eun, Seok-Chan;Baek, Rong-Min
    • Archives of Plastic Surgery
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    • v.37 no.4
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    • pp.457-460
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    • 2010
  • Purpose: The great toe presents a reconstructive challenge for plastic surgeons. The big toe has much importance not only for the gait and the stability, but also for appearance aspects. Few reports have documented the reconstruction of big toe defects and we report a unique case of free flap reconstruction technique. Methods: A 41-year-old man with right great toe open fracture with soft tissue necrosis was referred from the orthopedic surgery department. On physical examination, there was the skin necrosis circumferentially and the fratured bone was severely fragmented. The metatarsophalangeal (MTP) joint of the big toe was intact. After the wound debridement, we harvested the innervated anterolateral thigh flap and transposed to the defected area. After five months, we finally retouched the flap by the dorsal defatting and distal debulking. Results: He had an uneventful postoperative course without infection, dehiscence and flap necrosis. He has remained asymptomatic for eight months without any recurrence such as the osteomyelitis. Finally, he kept the normal gait and posture with weight bearing on the reconstructed great toe and foot. Conclusion: The anterolateral thigh flap is described for the reconstruction of the great toe. It involves two stage procedure with the minimal donor site morbidity and provides a good cosmetic result.

The Effect of Big Data-based Fashion Shopping Applications on App Users' Continuous Usage Intention

  • Hong, Hyekyung;Shin, Yeonseo;Lee, MiYoung
    • Journal of Fashion Business
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    • v.22 no.6
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    • pp.83-93
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    • 2018
  • The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users' perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user's expectation confirmation also significantly affected the users' continuous usage intention.

A Study on the Problems of AI-based Security Control (AI 기반 보안관제의 문제점 고찰)

  • Ahn, Jung-Hyun;Choi, Young-Ryul;Baik, Nam-Kyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.452-454
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    • 2021
  • Currently, the security control market is operating based on AI technology. The reason for using AI is to detect large amounts of logs and big data between security equipment, and to alleviate time and human problems. However, problems are still occurring in the application of AI. The security control market is responding to many problems other than the problems introduced in this paper, and this paper attempts to deal with five problems. We would like to consider problems that arise in applying AI technology to security control environments such as 'AI model selection', 'AI standardization problem', 'Big data accuracy', 'Security Control Big Data Accuracy and AI Reliability', 'responsibility material problem', and 'lack of AI validity.'

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A study on The Diagnosis and Treatment Using The Theory of Five Organs in "Soayakjeungjikgyeol(小兒藥證直訣)" ("소아약증직결(小兒藥證直訣)"의 오장변증(五臟辨證)에 대한 소고(小考) - 병증(病證)과 처방(處方)을 중심으로 -)

  • Baik, You-Sang
    • Journal of Korean Medical classics
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    • v.24 no.6
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    • pp.145-167
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    • 2011
  • "Soayakjeungjikgyeol(小兒藥證直訣)" written by Jeon Uel(錢乙, 1032-1113) in the Song dynasty, is the most old and well know specialty publication of pediatrics in Easter Traditional Medicine. "Soayakjeungjikgyeol(小兒藥證直訣)" made a big influence not only on the development of pediatrics in later traditional medicine through the explanations of physiological and pathological knowledge and experiences, but also on application of many effective prescriptions which have been used in many clinics until now days. One of the most important meaning which "Soayakjeungjikgyeol(小兒藥證直訣)" has, is that it emphasized on the diagnosis and treatment using the theory of five organs(五臟辨證), and applied it to clinical medicine effectively. In othe words, through application of the theory of five organs in "Hwangjenargyeong(黃帝內經)" to practical field, Jeon Uel(錢乙) played role of a ring connecting with studies of herbal medicine in the school of Yeoksu(易水), and the development of the theory of five organs of the four prominent doctors(金元四大家) in the Jin(金) and Yuan(元) dynasty. In this article, also it is investigated that how the theory of interaction among five phases(五行), can be applied to treatment of pediatrics through analysis of related texts in "Soayakjeungjikgyeol(小兒藥證直訣)". This studies would be useful to understanding the history and properties of the theory of five organs.

The Science Development of Chinese Railways

  • Song Yiling;Traffic Dacheng
    • Proceedings of the KOR-KST Conference
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    • 1998.09a
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    • pp.45-51
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    • 1998
  • This paper is based on the science and technology development plan of Chinese railways, it has briefly described the big breakthrough achieved during the 'Ninth Five Year Plan' and has presented the outstanding symbol of science and technology level of Chinese railways by the year of 2000.

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A Study on the Relationship between Personality and Creative Behavior according to Major in University (전공계열에 따른 개인의 성격과 창의적 행동 간의 관계에 관한 연구)

  • Jang, Ha-Soo
    • The Journal of the Convergence on Culture Technology
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    • v.3 no.4
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    • pp.53-58
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    • 2017
  • The objective of this study was to search the effect of individual personality (big five personality) on creative behavior. In particular, we tried to find out how the individual characteristics of the students who are perceived as unique majors in university and students who are in non-art, music and physical education affect the creative behavior. To perform this, questionnaires were distributed to 150 university students in art, music and physical education and 150 non-art, music, and physical education university students in C University located in Gwangju Metropolitan City. 275 copies (91.7%) of valid questionnaires were used among them. As a result, extroversion, openness, Friendliness, and sincerity were found to affect creative behaviors, excluding neuroticism (emotional stability) among five factors of personality. Additional analysis was performed by departmentalizing the majors of respondents as art, music and physical education and non-art, music, and physical education. In the case of art, music and physical education, extroversion, openness, friendliness affected the creative behavior, and in the case of non-art, music and physical education, only extroversion and openness influenced creative behavior. This difference can be understood as the difference of habits according to major, and it has been proved that it is also similar to previous research results.