• Title/Summary/Keyword: analytics

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R programming: Language and Environment for Statistical Computing and Data Visualization (R 프로그래밍: 통계 계산과 데이터 시각화를 위한 환경)

  • Lee, D.H.;Ren, Ye
    • Electronics and Telecommunications Trends
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    • v.28 no.1
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    • pp.42-51
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    • 2013
  • The R language is an open source programming language and a software environment for statistical computing and data visualization. The R language is widely used among a lot of statisticians and data scientists to develop statistical software and data analysis. The R language provides a variety of statistical and graphical techniques, including basic descriptive statistics, linear or nonlinear modeling, conventional or advanced statistical tests, time series analysis, clustering, simulation, and others. In this paper, we first introduce the R language and investigate its features as a data analytics tool. As results, we may explore the application possibility of the R language in the field of data analytics.

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A Design of Application through Physical Therapy Big Data Analytics

  • Choi, Woo-Hyeok;Huh, Jun-Ho
    • Journal of Multimedia Information System
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    • v.5 no.3
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    • pp.171-178
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    • 2018
  • According to the National Health Insurance Corporation in 2008, there were 17,764,428 physical therapy patients, exceeding 31 percent for the population covered by health insurance. This means that three out of 10 Koreans received physical therapy. And now, 10 years later, due to the aging population and the increase in the sports population, the number of patients with physical therapy is expected to be much more than a decade ago. Among them, many physical therapy patients were orthopedic and neurologic disorder. However, in the medical field applied to physical therapy, it is widely applied across all medical fields, including orthopedics, neurosurgery, pediatrics, gynecology, thoracic surgery and dentistry. It is believed that various cases of patients receiving physical therapy will be secured. as mentioned earlier, there will be a large number of patients with physical therapy treatments, making big data analytics easier. based on this, physical therapy applications are thought to be helpful in the analogy of disease and the development of effective physical therapy and will ultimately promote the development of physical therapy.

Customer Service Evaluation based on Online Text Analytics: Sentiment Analysis and Structural Topic Modeling

  • Park, KyungBae;Ha, Sung Ho
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.327-353
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    • 2017
  • Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

Required Video Analytics and Event Processing Scenario at Large Scale Urban Transit Surveillance System (도시철도 종합감시시스템에서 요구되는 객체인식 기능 및 시나리오)

  • Park, Kwang-Young;Park, Goo-Man
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.3
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    • pp.63-69
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    • 2012
  • In this paper, we introduced design of intelligent surveillance camera system and typical event processing scenario for urban transit. To analyze video, we studied events that frequently occur in surveillance camera system. Event processing scenario is designed for seven representative situations(designated area intrusion, object abandon, object removal in designated area, object tracking, loitering and congestion measurement) in urban transit. Our system is optimized for low hardware complexity, real time processing and scenario dependent solution.

Oxygen Removal during Sintering of Steels Prepared from Cr-Mo and Mo Prealloyed Powders

  • Danninger, Herbert;Xu, Chen;Lindqvist, Bjorn
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2006.09b
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    • pp.814-815
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    • 2006
  • The removal of oxygen during sintering by carbothermic reduction was studied for steel compacts Fe-Cr-Mo-C and Fe-Mo-C prepared from prealloyed powders. The compacts were prepared by pressing at 600 and 1000 MPa and sintering at 1100 and $1300^{\circ}C$ in vacuum. It showed that for the Cr-Mo steel, deoxidation strongly depends on the sintering temperature, in contrast to the plain Mo steel; at $1300^{\circ}C$ very low oxygen levels were measured with the standard density compact while at high density still significant oxygen is contained. This indicates inhibition of final deoxidation by pore closure, but apparently without adverse effect on the mechanical properties.

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Design and Implementation of a Real -Time Analytics System for Network Packet Trend Analysis (네트워크 패킷 트랜드 분석을 위한 실시간 스트림 데이터 분석 시스템 설계 및 구현)

  • Park, Seoeun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.72-75
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    • 2016
  • 스마트폰, 센서, 소셜미디어, 웹 서비스 등으로부터 발생되는 데이터의 폭증으로 인하여 빅데이터의 분석 및 활용에 대한 요구가 커져가고 있다. 특히 스마트 기기의 발달과 사용자 이용 패턴의 변화로 인하여 스트림 데이터는 끊임없이 발생되고 있지만, 기존의 하둡을 이용한 분석 시스템은 응답시간이 지연되어 빠르게 결과를 조회할 수 없는 단점으로 인하여 데이터를 실시간으로 분석하여 바로 활용할 수 있는 시스템에 대한 요구가 점점 더 증가하면서 람다 아키텍쳐가 등장하였다. 람다 아키텍쳐는 데이터 처리 과정을 배치 레이어와 스피트 레이어로 나누고, 스피드 레이어에서는 배치 결과가 나오기 전까지 스트림으로 유입되는 데이터를 실시간으로 분석하여 가장 최근의 데이터를 빠르게 조회 할 수 있도록 결과를 제공한다. 본 논문에서는 람다 아키텍쳐를 활용하여 연속적으로 유입되는 대용량의 스트림 데이터를 효과적으로 처리하여 실시간 분석과 동시에 배치 분석을 제공하는 데이터 처리 시스템을 설계하고 구현한다.

Current Status of Educational Big Data Research (교육 빅데이터 관련 연구 동향)

  • Lee, Eun-young;Park, Do-oung;Choi, In-ong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.175-176
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    • 2014
  • 본고에서는 교육 빅데이터의 개념, 가치, 처리 기술 및 분석 방법 등을 탐색하였다. '온라인과 오프라인 교수 학습 활동의 투입, 과정, 산출을 통해 생산되는 국가, 지역, 학교, 교사, 학생 수준의 자료'로 정의할 수 있는 교육 빅데이터는 Hadoop으로 대표되는 분산 컴퓨팅 기술을 통해 효율적으로 처리할 수 있다. 대규모 교육 자료에서 의미있고 유용한 결과를 도출하기 위해 주로 사용되는 분석 방법에는 교육 데이터 마이닝, 학습 분석학과 시각 자료 분석학이 있다. 교육 데이터 마이닝은 학생과 교사, 학교의 다양한 수준에서 자료를 폭넓게 분석하는 측면이 강한 반면에 학습 분석학은 학생 수준에서의 자료 분석에 더 초점을 맞추는 경향이 있으며, 시각 자료 분석학은 자료에 대한 분석 자체보다는 분석 결과를 효과적으로 표현하는 방식에 초점이 주어져 있다.

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Gigacycle Fatigue Crack Initiation in Cr-Mo Prealloy Sintered Steel

  • Xu, Chen;Danninger, Herbert;Khatibi, Golta;Weiss, Brigitte
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2006.09a
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    • pp.136-137
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    • 2006
  • Crack initiation and short crack propagation was studied on the polished notched surfaces of Cr-Mo prealloy sintered steels with 7.35 $g.cm^{-3}$ sintered density. An ultrasonic resonance test system operating in push-pull mode at 20 kHz and R=-1 was used. It showed that crack initiation took place in several places, small cracks growing oriented to the local pore structure rather than to stress orientation. Their growth rate is markedly higher than the corresponding one of long cracks. Finally, several microcracks join to form a dominant crack.

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