• Title, Summary, Keyword: R 프로그래밍

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창업연구 실증연구 분석방법론

  • Lee, Il-Han
    • 한국벤처창업학회:학술대회논문집
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    • pp.17-17
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    • 2017
  • 구조방정식모델(Structural Equation Modeling: SEM)은 변수들 간의 인관관계 및 상관관계를 검증하기 위한 통계기법으로 사회학 및 심리학 분야에서 개발되었지만 현재는 경영학, 광고학, 교육학, 생물학, 체육학, 의학, 정치학 등 여러 학문분야에서 광범위하게 사용되고 있다. Amos는 기본적으로 그래픽(Amos graphics)과 베이직(Amos basic)을 제공하기 때문에 정확한 프로그램의 작성이나 행렬에 대한 지식이 없는 초보자들도 아이콘을 이용하여 복잡한 연구모델이나 다중집단분석모델을 분석할 수 있다. PLS(Partial Least Square)는 모형 추정과정에서 발생하는 잔차 또는 예측오차를 최소화하여 예측력을 극대화하기 위한 프로그램이며, 즉, PLS-SEM는 표본 수가 적고 자료가 정규분포를 보이지 않거나 조형지표 모델이거나 복잡한 연구모델 분석에 유용하다. 최근 빅데이터의 열풍으로 자료들을 분석을 위한 도구로 R이 실무 현장에서 인기를 끌고 있다. R은 통계 프로그래밍 언어이자 오픈 소프트웨어 환경으로 통계, 그래픽, 데이터마이닝 등의 다양하고 방대한 양의 패키지들을 지원한다. R에서 제공되는 패키지들이 오픈 소스이고 선형 및 비선형 모델링, 고전적인 통계분석, 시 계열 분석, 분류 및 군집분석 등의 다양한 통계 패키지들을 제공한다는 측면에서 R은 실무는 물론 학문적인 측면에서도, 특히 통계를 기반으로 실증분석을 수행하는 사회과학연구들에서 중요한 역할을 할 수 있을 것으로 기대된다.

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An Exploratory Study on Determinants Affecting R Programming Acceptance (R 프로그래밍 수용 결정 요인에 대한 탐색 연구)

  • Rubianogroot, Jennifer;Namn, Su Hyeon
    • Management & Information Systems Review
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    • v.37 no.1
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    • pp.139-154
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    • 2018
  • R programming is free and open source system associated with a rich and ever-growing set of libraries of functions developed and submitted by independent end-users. It is recognized as a popular tool for handling big data sets and analyzing them. Reflecting these characteristics, R has been gaining popularity from data analysts. However, the antecedents of R technology acceptance has not been studied yet. In this study we identify and investigates cognitive factors contributing to build user acceptance toward R in education environment. We extend the existing technology acceptance model by incorporating social norms and software capability. It was found that the factors of subjective norm, perceived usefulness, ease of use affect positively on the intention of acceptance R programming. In addition, perceived usefulness is related to subjective norms, perceived ease of use, and software capability. The main difference of this research from the previous ones is that the target system is not a stand-alone. In addition, the system is not static in the sense that the system is not a final version. Instead, R system is evolving and open source system. We applied the Technology Acceptance Model (TAM) to the target system which is a platform where diverse applications such as statistical, big data analyses, and visual rendering can be performed. The model presented in this work can be useful for both colleges that plan to invest in new statistical software and for companies that need to pursue future installations of new technologies. In addition, we identified a modified version of the TAM model which is extended by the constructs such as subjective norm and software capability to the original TAM model. However one of the weak aspects that might inhibit the reliability and validity of the model is that small number of sample size.

Future Trends of Substation Automation System (변전소 자동화 시스템의 발전 추이와 미래)

  • Choi, Dae-Hee;Yang, Hang-Jun;Choi, Young-Jun;Hong, Jung-Gi
    • Proceedings of the KIEE Conference
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    • pp.531-533
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    • 2003
  • 변전소는 에너지 측면에서 볼 때 에너지를 연계하거나 분리 또는 변환하는 지점에 설치되어지며 변전소 자동화 시스템은 이러한 변전소의 주요 기기들이나 각 피더를 감시하고 보호하는 역할을 수행하게 된다. Microprocessor 기술의 발전과 통신기술 및 프로그래밍 기술의 발전을 통하여 변전소의 시스템 또한 90년경부터 디지털화가 가속되어 그 시스템 또한 구조적으로 변화하게 된다. 기존 아날로그 시스템의 경직된 구성에서 탈피하여 변화의 속도 또한 점차 증가하고 있으며 이러한 흐름을 파악하기 위해 변전소 자동화 시스템의 현재 발전 상황과 앞으로의 변화 방향에 대하여 서술한다.

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Uncertain Knowledge Processing for Oriental Medicine Diagnostic Model (한의 진단 모델의 추론 과정에서 발생하는 불확실한 진단 지식의 처리)

  • Shin, Yang-Kyu
    • Journal of the Korean Data and Information Science Society
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    • v.8 no.1
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    • pp.1-7
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    • 1997
  • The inference process for medical expert system is mostly formed by diagnostic knowledge on the if-then rule base. Oriental medicine diagnostic knowledge, however, may involve uncertain knowledge caused by ambiguous concept. In this paper, we analyze an oriental medicine diagnostic process by a rule-based inference system, and propose a method for representing and processing uncertain oriental medicine diagnostic knowledge using CLP( R ) which is a kind of constraint satisfaction program.

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A novel on Data Prediction Process using Deep Learning based on R (R기반의 딥 러닝을 이용한 데이터 예측 프로세스에 관한 연구)

  • Jung, Se-hoon;Kim, Jong-chan;Park, Hong-joon;So, Won-ho;Sim, Chun-bo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.421-422
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    • 2015
  • Deep learning, a deepen neural network technology that demonstrates the enhanced performance of neural network analysis, has been getting the spotlight in recent years. The present study proposed a process to test the error rates of certain variables and predict big data by using R, a analysis visualization tool based on deep learning, applying the RBM(Restricted Boltzmann Machine) algorithm to deep learning. The weighted value of each dependent variable was also applied after the classification of dependent variables. The investigator tested input data with the RBM algorithm and designed a process to detect error rates with the application of R.

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The Accident Risk Detection System in Dashcam Video using Object Detection Algorithm (물체 탐지 알고리즘을 활용한 블랙박스 영상 내 사고 위험 감지 시스템)

  • Hong, Jin-seok;Han, Myeong-woo;Kim, Jeong-seon;Kim, Kyung-sup
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.364-368
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    • 2018
  • In this paper, we use Faster R-CNN that is one of object detection algorithm and OpenCV that purposes computer vision, to implement the system that can detect danger when a vehicle attempts to change lanes into its own lane in videos of highway, national road, general road and etc. Also, the performance of implemented system is evaluated to prove that the performance is not bad.

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Algorithm and computerize programming to induce optimized Far-infrared radiation (원적외선 최적화 방사유도 알고리즘과 프로그래밍)

  • Kim, Jae-Yoon;Park, Don-Mork;Park, Young-Han;Park, Rae-Joon
    • The Journal of Korean Physical Therapy
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    • v.13 no.2
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    • pp.257-264
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    • 2001
  • To take the Far-infrared(FIR) ray which is a optimized wavewlength and strength, at first, it is to be induced the characteristic algorithm and the computerized programing of FlR radiating materials. In this study, we induced that the formular of optimized FIR with physical, mathematical logic and theory, especially, Plank, Kirchhoff, Wien, Stefan-Boltzmann's logic and law. In the long run the formular was induced with mathematical integration. since we had to know the molecular wavelength. Base on the induced formular as above, we programmed the optimized FlR radiating computerized program, it would be useful to design semiconductor( VLSI) as the FlR instrument center control system.

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Hadoop and MapReduce (하둡과 맵리듀스)

  • Park, Jeong-Hyeok;Lee, Sang-Yeol;Kang, Da Hyun;Won, Joong-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.5
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    • pp.1013-1027
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    • 2013
  • As the need for large-scale data analysis is rapidly increasing, Hadoop, or the platform that realizes large-scale data processing, and MapReduce, or the internal computational model of Hadoop, are receiving great attention. This paper reviews the basic concepts of Hadoop and MapReduce necessary for data analysts who are familiar with statistical programming, through examples that combine the R programming language and Hadoop.

Design and Implementation of the MSIL-to-Bytecode Translator to Execute .NET Programs in JVM Platform (JVM 플랫폼에서 .NET 프로그램을 실행하기 위한 MSIL-to-Bytecode 번역기의 설계 및 구현)

  • Lee, Yang-Sun;Whang, Dae-Hoon;Na, Seung-Won
    • Journal of Korea Multimedia Society
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    • v.7 no.7
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    • pp.976-984
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    • 2004
  • C# and .NET platform in Microsoft Corp. has been developed to meet the needs of programmers, and cope with Java and JVM platform of Sun Microsystems. After compiling, a program written in .NET language is converted to MSIL code, and also executed by .NET platform but not in JVM platform. Java, one of the most widely used programming languages recently, is the language invented by James Gosling at Sun Microsystems, which is the next generation language independent of operating systems and hardware platforms. Java source code is compiled into bytecode as intermediate code independent of each platform by compiler, and also executed by JVM. This paper presents the MSIL-to-Bytecode intermediate language translator which enables the execution of the program written in .NET language such as C or C# in JVM(Java Virtual Machine) environment, translating MSIL code produced by compiling .NET program into java bytecode. This work provides an environment for programmers to develop application programs without limitations of programming languages.

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Development of Software Education Products Based on Physical Computing (피지컬 컴퓨팅 기반 소프트웨어 교육용 제품 개발)

  • Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.3
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    • pp.595-600
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    • 2019
  • Educational tools for infants and younger students are becoming smarter as ICT-based digital technology convergence extends according to the development of technology. As the digital interaction function of smart education tools gives students greater immersion and fun, a learning might become a play to the students. The technologies used in the implementation of smart education tools come from the disciplines of robotics, computer engineering, programming, and engineering and mathematical foundations and these can be integrated into the field of education itself. This paper designs and implements a product based on optimized physical computing for R&D and education in consideration of the characteristics of educational tool robots used in the field education. It was developed to enable physical education for sensing information processing, software design and programming practice training that is the basis of robot system.