• Title/Summary/Keyword: Scraping

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Topic Analysis of Papers of JKIICE Using Text Mining (텍스트 마이닝을 이용한 한국정보통신학회 논문지의 주제 분석)

  • Woo, Young Woon;Cho, Kyoung Won;Lee, KwangEui
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.74-75
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    • 2017
  • In this paper, we analyzed 3,668 papers of JKIICE from 2007 to 2016 using text mining methods for understanding research fields. We used web scraping programs of Python language for data collection, and utilized topic modeling methods based on LDA algorithm implemented by R language. In the results, we verified that representative research areas of JKIICE could be downsized to 9 areas only by the analysis though the submission areas were 19 areas by 2016.

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Study on the Anti-angiogenic Activity of Ethanol Extract of Bojungbangam-tang (보정방암탕 에타놀층의 혈관형성 저해작용에 관한 연구)

  • Lee Eun-Ok;Shim Beom-Sang;Surh Young-Joon;Jeon Byung-Hun;Ahn Kyoo-Seok;Kim Sung-Hoon
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.1
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    • pp.15-19
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    • 2006
  • The anti-angiogenic activity of ethanol extract of Bojungbangam-tang, a new herbal prescription composed of nine crude drugs, was evaluated in human umbilical vein endothelial cells (HUVECs). HPLC profile revealed that five major compunds such as apioliquiritin, narirutin, hesperidin, liquiritin and glycyrrhizin. Ethanol extract of Bojungbangam-tang (EBJT) did not showed any significant cytotoxicity against HUVECs up to 200 ug/ml. EBJT significantly inhibited basic fibroblast growth factor (bFGF)-induced HUVECs proliferation to 69% at 200 ${\mu}g/ml$. Migration using window scraping method and tube formation in bFGF stimulated HUVECs were also significantly suppressed by EBJT in a dose-dependent manner. Taken together, these results suggest that Bojungbangam-tang can be a potent prescription for angiogenesis related disease.

The First Acanthamoeba keratitis Case of Non-Contact Lens Wearer with HIV Infection in Thailand

  • Tananuvat, Napaporn;Techajongjintana, Natnaree;Somboon, Pradya;Wannasan, Anchalee
    • Parasites, Hosts and Diseases
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    • v.57 no.5
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    • pp.505-511
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    • 2019
  • Acanthamoeba keratitis (AK) is a rare sight-threatening corneal infection, often reporting from contact lens wearers. An asymptomatic human immunodeficiency virus (HIV)-infected Thai male without history of contact lens use complained foreign body sensation at his left eye during motorbike riding. He had neither specific keratitis symptoms nor common drugs responding, which contributed to delayed diagnosis. By corneal re-scraping, Acanthamoeba-like cysts were detected by calcofluor white staining and agar culture. The etiological agent obtained from the culture was molecularly confirmed by Acanthamoeba spp.-specific PCR, followed by DNA sequencing. The results from BLAST and phylogenetic analysis based on the DNA sequences, revealed that the pathogen was Acanthamoeba T4, the major genotype most frequently reported from clinical isolates. The infection was successfully treated with polyhexamethylene biguanide resulting in corneal scar. This appears the first reported AK case from a non-contact lens wearer with HIV infection in Thailand. Although AK is sporadic in developing countries, a role of free-living Acanthamoeba as an opportunistic pathogen should not be neglected. The report would increase awareness of AK, especially in the case presenting unspecific keratitis symptoms without clinical response to empirical antimicrobial therapy.

A web-based Obesity Management system using Body variations (빅 데이터 기반 만성질환 관리 시스템)

  • Kang, Hee-Beom;Lee, Jong-Won;Kim, Kyung-Hwan;Kim, Chang-Su;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.787-789
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    • 2016
  • Today, need for a development system that provides the data to a chronic disease, and management has emerged. However, for most of the disease management system provides a wide range of data to the user and problem does not provide for important keyword or data existed. In this paper, analyzing the data for a disease through the R Programing it makes like the most relevant keyword in the illness to the user. This study was a system in which only the important parts when the user to manage their disease can be efficiently managed. By utilizing the proposed system to the user it is considered to be Except for unnecessary data or keyword and to be able to see the data and the keyword in need.

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Analysis of Research Papers Related to the Fourth Industrial Revolution (4차 산업혁명 관련 연구 논문 분석)

  • Cho, Kyoung Won;Woo, Young Woon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.268-270
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    • 2019
  • In this paper, we analyzed the papers related to the "4th Industry". In order to analyze the papers, total of 685 papers were collected by searching with the keyword "4th industry" in Korea Journal Index(KCI) from 2016 to 2019. We used Python-based web scraping program to collect papers. As a result of analysis, it was confirmed that artificial intelligence, big data, Internet of things(IoT), digital, network and so on have emerged as the major technologies, and it was confirmed that research has been utilizing the major technologies in various fields related to the 4th industry such as industry, government, education field, and job.

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Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis

  • Lee, Eunji;Jang, Jikyung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3221-3242
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    • 2021
  • The purpose of the study is to examine the current study trend of 'QR code' and suggest a direction for the future study of big data analysis: (1) Background: study trend of 'QR code' and analysis of the text by subject field and year; (2) Methodology: data scraping and collection, EXCEL summary, and preprocess and big data analysis by R x 64 4.0.2 program package; (3) the findings: first, the trend showed a continuous increase in 'QR code' studies in general and the findings were applied in various fields. Second, the analysis of frequent keywords showed somewhat different results by subject field and year, but the overall results were similar. Third, the visualization of the frequent keywords also showed similar results as that of frequent keyword analysis; and (4) the conclusions: in general, 'QR code' studies are used in various fields, and the trend is likely to increase in the future as well. And the findings of this study are a reflection that 'QR code' is an aspect of our social and cultural phenomena, so that it is necessary to think that 'QR code' is a tool and an application of information. An expansion of the scope of the analysis is expected to show us more meaningful indications on 'QR code' study trends and development potential.

A Study on Artificial Intelligence Education Design for Business Major Students

  • PARK, So-Hyun;SUH, Eung-Kyo
    • The Journal of Industrial Distribution & Business
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    • v.12 no.8
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    • pp.21-32
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    • 2021
  • Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.

Diagnostic Accuracy of Dermoscopy for Scabies

  • Li, Feng-Zeng;Chen, Shuang
    • Parasites, Hosts and Diseases
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    • v.58 no.6
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    • pp.669-674
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    • 2020
  • The diagnostic accuracy of dermoscopy (DS) for scabies, a highly contagious parasitic disease, remains disputed. This study aimed to assess the diagnostic accuracy of DS in scabies, analyze the factors influencing DS, and explore its role in post-treatment evaluation. Patients with suspected scabies were randomly divided into 2 groups: 71 patients in the skin scraping (SS) group and 73 patients in the DS group. The diagnostic efficiencies of SS and DS in these groups were calculated. We also analyzed the influence of body part and investigator competence on the accuracy of DS. Then 16 body parts with typical signs of scabies were monitored by DS 2 and 4 day after sulfur ointment treatment. The sensitivity and specificity of DS were 98.3% and 88.5%, respectively. Hands, arms, and the abdomen had higher positivity rates than other body parts (P<0.001). The accuracy of dermatologists' interpretations of images negative for scabies in the intermediate- and high-level groups was higher than that in the low-level group (P<0.001). At follow-up, the mites were still visible on 43.8% to 62.5% of the skin lesions 2 and 4 day after sulfur ointment treatment. These results showed that DS could significantly increase the accuracy of diagnosing scabies owing to its high sensitivity and specificity. Therefore, it may be useful for monitoring clinical responses to anti-parasitic treatment.

A Study on Big Data Processing Technology Based on Open Source for Expansion of LIMS (실험실정보관리시스템의 확장을 위한 오픈 소스 기반의 빅데이터 처리 기술에 관한 연구)

  • Kim, Soon-Gohn
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.2
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    • pp.161-167
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    • 2021
  • Laboratory Information Management System(LIMS) is a centralized database for storing, processing, retrieving, and analyzing laboratory data, and refers to a computer system or system specially designed for laboratories performing inspection, analysis, and testing tasks. In particular, LIMS is equipped with a function to support the operation of the laboratory, and it requires workflow management or data tracking support. In this paper, we collect data on websites and various channels using crawling technology, one of the automated big data collection technologies for the operation of the laboratory. Among the collected test methods and contents, useful test methods and contents useful that the tester can utilize are recommended. In addition, we implement a complementary LIMS platform capable of verifying the collection channel by managing the feedback.

Research Trend Analysis of QR Code (QR Code 관련 연구 동향 분석)

  • Lee, Eun-Ji;Jang, Ji-Kyung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.367-368
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    • 2021
  • 본 연구의 목적은 빅데이터 분석을 통해 QR 코드에 관한 연구 동향을 살펴보고 향후 활용 방안을 수립하는 데 그 방향성을 제시하는 것이다. 먼저 QR 코드에 관한 주제 분야별, 연도별 연구 동향을 살펴보고, 텍스트 분석을 실시한다. 아울러 이 결과를 데이터 시각화하여 분석결과를 살펴본다. 구체적으로 본 연구는 데이터 scraping 및 수집을 하였으며, R x64 4.0.2 프로그램 패키지를 활용 전처리 활동과 빅데이터 분석을 하였다. 본 연구의 결과는 다음과 같다. 첫째, 전반적으로 QR 코드 관련 연구가 지속적으로 증가하는 추세가 발견되었다. 둘째, 빈출키워드를 분석한 결과 주제 분야별, 연도별로 다소 차이가 있으나 전반적으로 모든 분야에서 QR 코드 사용이 유사한 형태로 나타났다. 본 연구는 QR 코드에 관한 연구가 다양한 분야에서 활용되고 있으며, 향후에도 같은 추세로 활용가능성이 높음을 확인하였다. 본 연구의 결과는 QR 코드가 사회문화적 현상을 반영하고 있으며, 우리는 이를 정보의 수단 및 활용의 관점으로 접근할 필요가 있음을 시사한다. 본 연구의 결과는 QR 코드에 관한 정부지원 및 활성화 방안을 마련하는데 유용한 기초자료로 활용될 수 있을 것으로 기대된다.

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