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Improving the Accuracy of a Heliocentric Potential (HCP) Prediction Model for the Aviation Radiation Dose

  • Hwang, Junga;Yoon, Kyoung-Won;Jo, Gyeongbok;Noh, Sung-Jun
    • Journal of Astronomy and Space Sciences
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    • 제33권4호
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    • pp.279-285
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    • 2016
  • The space radiation dose over air routes including polar routes should be carefully considered, especially when space weather shows sudden disturbances such as coronal mass ejections (CMEs), flares, and accompanying solar energetic particle events. We recently established a heliocentric potential (HCP) prediction model for real-time operation of the CARI-6 and CARI-6M programs. Specifically, the HCP value is used as a critical input value in the CARI-6/6M programs, which estimate the aviation route dose based on the effective dose rate. The CARI-6/6M approach is the most widely used technique, and the programs can be obtained from the U.S. Federal Aviation Administration (FAA). However, HCP values are given at a one month delay on the FAA official webpage, which makes it difficult to obtain real-time information on the aviation route dose. In order to overcome this critical limitation regarding the time delay for space weather customers, we developed a HCP prediction model based on sunspot number variations (Hwang et al. 2015). In this paper, we focus on improvements to our HCP prediction model and update it with neutron monitoring data. We found that the most accurate method to derive the HCP value involves (1) real-time daily sunspot assessments, (2) predictions of the daily HCP by our prediction algorithm, and (3) calculations of the resultant daily effective dose rate. Additionally, we also derived the HCP prediction algorithm in this paper by using ground neutron counts. With the compensation stemming from the use of ground neutron count data, the newly developed HCP prediction model was improved.

연관 웹 페이지 검색을 위한 e-아크 랭킹 메저 (e-Cohesive Keyword based Arc Ranking Measure for Web Navigation)

  • 이우기;이병수
    • 한국정보과학회논문지:데이타베이스
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    • 제36권1호
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    • pp.22-29
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    • 2009
  • 웹은 사용자에게 제품이나 정보를 제공할 수 있는 가장 커다란 매체로 성장하였으며, 또한 사용자에게는 필요 이상의 정보를 얻게 해주고 있다. 웹은 다량의 관련 정보들을 여러 웹 페이지들을 통해 표현하고 있으며, 현재 검색엔진들은 키워드들에 관련된 단일 페이지들만을 리스트화하여 보여주고 있다. 근본적으로 이러한 방법들로는 관련된 정보를 가지고 있는 페이지들의 쌍 및 연관된 뭔 페이지들의 집합을 구조화하여 제공할 수 없다. 웹은 하나의 웹 페이지에 모든 관련 정보를 담는 범위를 넘어 관련된 정보 페이지들을 하이퍼링크로 서로 연결한 일련의 정보로 인식되고 있다. 따라서 본 논문에서는 새로운 링크 가중치 기반 검색 기법으로서 e-아크 메저에 관하여 제안하고자 하며, 이는 사용자가 입력한 키워드들과 관련된 페이지의 집합을 웹 사이트 안에서 찾아내는 연관 검색에 효과적이라는 것을 보이고, 실험을 통해 기존의 메저들 보다 그 효과성을 우월하다는 점을 입증하였다.

개화기 방한 서양인 기록물의 디지털 아카이브 구축에 관한 연구 (Developing Digital Archives from the Records of Westerners who visited Korea during the Enlightenment Period of Chosun)

  • 정희선;김희순;송현숙;이명희
    • 한국문헌정보학회지
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    • 제49권3호
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    • pp.135-154
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    • 2015
  • 본 연구는 개화기 방한 서양인 기록물의 디지털 아카이브를 구축하여 지역문화콘텐츠로 활용하기 위하여 수행되었다. 수집대상 자료는 서양인 기록물 11권이고, 주제분류체계로부터 10개의 대주제와 120개의 소주제를 추출하였다. 37개 메타데이터 항목에 맞추어 텍스트 내용의 분석과 입력자료 유형을 분류하고 엑셀로 된 데이터베이스를 구축하였다. 그리고 디지털 아카이브 시스템 모델과 5개의 메뉴로 구성된 홈페이지 구축(안)을 제시하였다. 추후연구를 위해 아카이빙 구축을 위한 데이터의 지속적인 발굴과 아카이브 확대 방안, 아카이브 시스템간의 활발한 연계, 시스템 표준화, 시스템 호환성과 사용자 편의성을 고려한 시스템 설계를 제언하였다.

웹페이지 관심도 분석에 관한 연구 (A Study On Analysis of Interestingness for Web-pages)

  • 김창근;정연홍;김일
    • 한국정보통신학회논문지
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    • 제11권4호
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    • pp.687-695
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    • 2007
  • 최근 인터넷 쇼핑몰 등을 통한 전자상거래가 증가하면서 웹페이지를 탐색하는 방문자의 관심도를 분석하여 개인화 등에 활용되는 예가 증가하고 있다. 웹사이트 방문자의 관심도 분석 방법으로는 클릭스트림 기반의 분석 방법이 이용되고 있지만, 이러한 기법은 인터넷 쇼핑 몰과 같이 많은 양의 정보를 제공하는 웹페이지의 경우에는 방문자가 어떠한 정보에 관심이 많은지에 대한분석이 어렵다. 웹페이지와 같이 많은 양의 정보를 제공하는 경우에 제한된 크기의 모니터로는 한 화면에 모든 정보를 표현하기가 어렵다. 따라서 웹페이지를 표현하는 웹브라우저는 이러한 표현의 한계를 극복하기 위하여 페이지 스크롤 기능을 제공하고 있다. 본 논문에서는 이러한 문제를 해결하기 위하여 웹브라우저 내에서 스크롤바 위치와 윈도우 커서의 움직임을 주기적으로 수집하여 사용자의 관심도를 분석하는 웹페이지 관심도 분석 시스템을 제안하고 분석 및 설계하였다.

소비자의 선택 과부하와 유사성 회피 성향이 온라인 추천 서비스의 혁신성과 사용 적합성 지각에 미치는 영향 (The Effect of Consumers' Choice Overload and Avoidance of Similarity on Innovativeness and Use Compatibility in Online Recommendation Service)

  • 윤남희;이하경;장세윤
    • 한국의류산업학회지
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    • 제21권2호
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    • pp.141-150
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    • 2019
  • Online recommendation services help people search for an appropriate product among a huge assortment in stores that also minimize consumers' choice overload. People with a need for uniqueness are likely to prefer this online recommendation service based on individual needs and tastes. This study verifies the effect of consumers' choice overload and similarity avoidance in consumers' evaluation towards an online recommendation service with a focus on innovativeness and use comparability. Two-hundred consumers participated in this study and data were collected through an online survey firm. A mock retailer's webpage was created and showed six types of sneakers, which was presented as a result of product recommendation based on consumers' personal information. Data was analyzed using confirmatory factor analysis (CFA), analysis of variance (ANOVA), and regression analysis. The results show that people with a high similarity avoidance perceive an online recommendation service as an innovative and compatible service. They also perceive a high level of use compatibility for an online recommendation service, especially when it is difficult to choose a product under choice overload. Innovativeness and use compatibility of an online recommendation service increase behavioral intention. The results of this study can contribute to strategies to start online recommendation services from online retailers' websites that identify circumstances in which consumers can adopt innovative services in a positive manner.

성취기준 통합 데이터 모델을 통한 성취평가 지원 시스템 모델링 (Modeling of an Achievement Evaluation Support System Using Achievement Standards-based Integrated Data Model)

  • 정현숙;김정민
    • 한국정보기술학회논문지
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    • 제16권12호
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    • pp.115-125
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    • 2018
  • 2015 개정 교육과정의 핵심은 성취평가제의 적용과 확산으로서 학생들의 학업 성취 평가에서 있어서 경쟁적인 상대평가에서 벗어나 학생들이 각각의 평가기준에 따라 어느 정도의 학업 성취를 달성하였는가를 평가하는 것이다. 이를 위해서는 교수학습 설계와 수행 및 평가 프로세스를 통합 관리할 수 있는 평가기준 및 성취수준 지원 시스템이 필요하다. 본 논문에서는 교육과정의 성취기준 자료, 수업설계 자료, 학습내용 자료, 평가설계 자료, 평가결과분석 자료 및 피드백 자료들을 연계할 수 있는 통합 데이터모델을 설계하고 이에 기반한 성취평가 지원 시스템을 설계한다. 설계한 통합 데이터 모델을 기반으로 학습자 대쉬보드 웹페이지 프로토타입을 구현하고 학생평가지원포털과의 검색 기능을 비교함으로써 제안한 모델의 퀄리티를 평가하였다.

Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies

  • Park, Hyeoun-Ae;Jung, Hyesil;On, Jeongah;Park, Seul Ki;Kang, Hannah
    • Healthcare Informatics Research
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    • 제24권4호
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    • pp.253-262
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    • 2018
  • Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

Identification of cranial nerve ganglia using sectioned images and three-dimensional models of a cadaver

  • Kim, Chung Yoh;Park, Jin Seo;Chung, Beom Sun
    • The Korean Journal of Pain
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    • 제35권3호
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    • pp.250-260
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    • 2022
  • Background: Cranial nerve ganglia, which are prone to viral infections and tumors, are located deep in the head, so their detailed anatomy is difficult to understand using conventional cadaver dissection. For locating the small ganglia in medical images, their sectional anatomy should be learned by medical students and doctors. The purpose of this study is to elucidate cranial ganglia anatomy using sectioned images and three-dimensional (3D) models of a cadaver. Methods: One thousand two hundred and forty-six sectioned images of a male cadaver were examined to identify the cranial nerve ganglia. Using the real color sectioned images, real color volume model having a voxel size of 0.4 × 0.4 × 0.4 mm was produced. Results: The sectioned images and 3D models can be downloaded for free from a webpage, anatomy.dongguk.ac.kr/ganglia. On the images and model, all the cranial nerve ganglia and their whole course were identified. In case of the facial nerve, the geniculate, pterygopalatine, and submandibular ganglia were clearly identified. In case of the glossopharyngeal nerve, the superior, inferior, and otic ganglia were found. Thanks to the high resolution and real color of the sectioned images and volume models, detailed observation of the ganglia was possible. Since the volume models can be cut both in orthogonal planes and oblique planes, advanced sectional anatomy of the ganglia can be explained concretely. Conclusions: The sectioned images and 3D models will be helpful resources for understanding cranial nerve ganglia anatomy, for performing related surgical procedures.

Internet search analytics for shoulder arthroplasty: what questions are patients asking?

  • Johnathon R. McCormick;Matthew C. Kruchten;Nabil Mehta;Dhanur Damodar;Nolan S. Horner;Kyle D. Carey;Gregory P. Nicholson;Nikhil N. Verma;Grant E. Garrigues
    • Clinics in Shoulder and Elbow
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    • 제26권1호
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    • pp.55-63
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    • 2023
  • Background: Common questions about shoulder arthroplasty (SA) searched online by patients and the quality of this content are unknown. The purpose of this study is to uncover questions SA patients search online and determine types and quality of webpages encountered. Methods: The "People also ask" section of Google Search was queried to return 900 questions and associated webpages for general, anatomic, and reverse SA. Questions and webpages were categorized using the Rothwell classification of questions and assessed for quality using the Journal of the American Medical Association (JAMA) benchmark criteria. Results: According to Rothwell classification, the composition of questions was fact (54.0%), value (24.7%), and policy (21.3%). The most common webpage categories were medical practice (24.6%), academic (23.2%), and medical information sites (14.4%). Journal articles represented 8.9% of results. The average JAMA score for all webpages was 1.69. Journals had the highest average JAMA score (3.91), while medical practice sites had the lowest (0.89). The most common question was, "How long does it take to recover from shoulder replacement?" Conclusions: The most common questions SA patients ask online involve specific postoperative activities and the timeline of recovery. Most information is from low-quality, non-peer-reviewed websites, highlighting the need for improvement in online resources. By understanding the questions patients are asking online, surgeons can tailor preoperative education to common patient concerns and improve postoperative outcomes. Level of evidence: IV.

Rotator cuff repair: what questions are patients asking online and where are they getting their answers?

  • Alexander J. Hodakowski;Johnathon R. McCormick;Dhanur Damodar;Matthew R. Cohn;Kyle D. Carey;Nikhil N. Verma;Gregory Nicholson;Grant E Garrigues
    • Clinics in Shoulder and Elbow
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    • 제26권1호
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    • pp.25-31
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    • 2023
  • Background: This study analyzed questions searched by rotator cuff patients and determined types and quality of websites providing information. Methods: Three strings related to rotator cuff repair were explored by Google Search. Result pages were collected under the "People also ask" function for frequent questions and associated webpages. Questions were categorized using Rothwell classification and topical subcategorization. Webpages were evaluated by Journal of the American Medical Association (JAMA) benchmark criteria for source quality. Results: One hundred twenty "People also ask" questions were collected with associated webpages. Using the Rothwell classification of questions, queries were organized into fact (41.7%), value (31.7%), and policy (26.7%). The most common webpage categories were academic (28.3%) and medical practice (27.5%). The most common question subcategories were timeline of recovery (21.7%), indications/management (21.7%), and pain (18.3%). Average JAMA score for all 120 webpages was 1.50. Journal articles had the highest average JAMA score (3.77), while commercial websites had the lowest JAMA score (0.91). The most commonly suggested question for rotator cuff repair/surgery was, "Is rotator cuff surgery worth having?," while the most commonly suggested question for rotator cuff repair pain was, "What happens if a rotator cuff is not repaired?" Conclusions: The most commonly asked questions pertaining to rotator cuff repair evaluate management options and relate to timeline of recovery and pain management. Most information is provided by medical practice, academic, and medical information websites, which have highly variable reliability. By understanding questions their patients search online, surgeons can tailor preoperative education to patient concerns and improve postoperative outcomes.