• Title, Summary, Keyword: R 프로그래밍

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Programming Interface for DAG-based Co-scheduling of GirdRPC (GridRPC의 DAG 기반 Co-scheduling을 위한 프로그래밍 인터페이스)

  • Choi, Ji-Hyun;Lee, Dong-Woo;Kim, Mi-Ok;Ramakrishna, R.S.
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.189-192
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    • 2003
  • 이 논문에서는 그리드환경에서 Remote Procedure Call(RPC) 프로그래밍 인터페이스를 위한 메커니즘인 GridRPC 의 성능향상을 위해 DAG 기반의 Co-scheduling API 를 제안한다. 네트워크 상의 통신횟수를 줄임으로써 GridRPC call 의 최적화를 도모하기 위한 프로그래밍 인터페이스와 이를 가능하게 하는 서버구조를 제안한다. DAG 기반의 co-scheduling 은 서버-클라이언트간의 연산에 사용되는 입력값과 출력값들의 흐름을 분석하여 사용자로 하여금 DAG(Directed Acyclic Graph)로 GridRPC call 들을 구성하고 이를 기반으로 GridRPC call 들을 최적화하는 방법이다. 또한, GridRPC가 Client Interface 이기 때문에 생기는 문제점인 서버간의 지원의 문제점을 SOAP 서버의 Wrapping 을 통해 해결한다.

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Software Reliability & Quality

  • 채종원
    • Proceedings of the Korean Reliability Society Conference
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    • pp.73-117
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    • 2004
  • Software 기술의 변화: 다중프로그래밍, 다중 사용자(multiuser), 실시간처리/데이터베이스, 제품소프트웨어 출현, 강력한 데스크-탑 시스템, 객체지향 시스템, 전문가 시스템, 인공지능(중략)

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A Study on Developing CT through Physical Computing : Implications of 3D Printing Class using Codeblocks® (피지컬 컴퓨팅을 통한 CT역량 계발 연구 : 코드블록® 활용 3D 프린팅 수업의 시사점)

  • Choi, Hyungshin
    • Journal of The Korean Association of Information Education
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    • v.23 no.3
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    • pp.219-227
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    • 2019
  • The educational method of physical computing, where students can experience software programming principles and practices while making concrete objects beyond outputs residing just inside of computer monitors, are drawing attentions. This current research sought an instructional method for pre-service teachers that they can experience 3D printing and modeling and at the same time they can understand programming principles in the 3D modeling processes. To achieve this aim, the TinkerCAD $Codeblocks^{(R)}$ was analyzed based on the computational thinking framework and a course utilizing the $Codeblocks^{(R)}$ to 3D modeling was devised. The designed class was applied to pre-service teachers and the students' perceptions of the class were collected by using a semi-structured survey. This study provides implications to software education for pre-service teachers as an instructional case that 3D printing is used to connecting computational thinking skills.

A Study on Gain Scheduling Programming with the Fuzzy Logic Controller of a 6-axis Articulated Robot using LabVIEW® (LabVIEW®를 이용한 6축 수직 다관절 로봇의 퍼지 로직이 적용된 게인 스케줄링 프로그래밍에 관한 연구)

  • Kang, Seok-Jeong;Chung, Won-Jee;Park, Seung-Kyu;Noe, Sung Hun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.4
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    • pp.113-118
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    • 2017
  • As the demand for industrial robots and Automated Guided Vehicles (AGVs) increases, higher performance is also required from them. Fuzzy controllers, as part of an intelligent control system, are a direct control method that leverages human knowledge and experience to easily control highly nonlinear, uncertain, and complex systems. This paper uses a $LabVIEW^{(R)}-based$ fuzzy controller with gain scheduling to demonstrate better performance than one could obtain with a fuzzy controller alone. First, the work area was set based on forward kinematics and inverse kinematics programs. Next, $LabVIEW^{(R)}$ was used to configure the fuzzy controller and perform the gain scheduling. Finally, the proposed fuzzy gain scheduling controller was compared with to controllers without gain scheduling.

Korean Collective Intelligence in Sharing Economy Using R Programming: A Text Mining and Time Series Analysis Approach (R프로그래밍을 활용한 공유경제의 한국인 집단지성: 텍스트 마이닝 및 시계열 분석)

  • Kim, Jae Won;Yun, You Dong;Jung, Yu Jin;Kim, Ki Youn
    • Journal of Internet Computing and Services
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    • v.17 no.5
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    • pp.151-160
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    • 2016
  • The purpose of this research is to investigate Korean popular attitudes and social perceptions of 'sharing economy' terminology at the current moment from a creative or socio-economic point of view. In Korea, this study discovers and interprets the objective and tangible annual changes and patterns of sociocultural collective intelligence that have taken place over the last five years by applying text mining in the big data analysis approach. By crawling and Googling, this study collected a significant amount of time series web meta-data with regard to the theme of the sharing economy on the world wide web from 2010 to 2014. Consequently, huge amounts of raw data concerning sharing economy are processed into the value-added meaningful 'word clouding' form of graphs or figures by using the function of word clouding with R programming. Till now, the lack of accumulated data or collective intelligence about sharing economy notwithstanding, it is worth nothing that this study carried out preliminary research on conducting a time-series big data analysis from the perspective of knowledge management and processing. Thus, the results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of future sharing economy-related markets or consumer behavior.

Prediction Model for Specific Cutting Energy of Pick Cutters Based on Gene Expression Programming and Particle Swarm Optimization (유전자 프로그래밍과 개체군집최적화를 이용한 픽 커터의 절삭비에너지 예측모델)

  • Hojjati, Shahabedin;Jeong, Hoyoung;Jeon, Seokwon
    • Tunnel and Underground Space
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    • v.28 no.6
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    • pp.651-669
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    • 2018
  • This study suggests the prediction model to estimate the specific energy of a pick cutter using a gene expression programming (GEP) and particle swarm optimization (PSO). Estimating the performance of mechanical excavators is of crucial importance in early design stage of tunnelling projects, and the specific energy (SE) based approach serves as a standard performance prediction procedure that is applicable to all excavation machines. The purpose of this research, is to investigate the relationship between UCS and BTS, penetration depth, cut spacing, and SE. A total of 46 full-scale linear cutting test results using pick cutters and different values of depth of cut and cut spacing on various rock types was collected from the previous study for the analysis. The Mean Squared Error (MSE) associated with the conventional Multiple Linear Regression (MLR) method is more than two times larger than the MSE generated by GEP-PSO algorithm. The $R^2$ value associated with the GEP-PSO algorithm, is about 0.13 higher than the $R^2$ associated with MLR.

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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Evaluation on the Horizontal Alignment of Road Centerline using GIS Programming (GIS 프로그래밍을 이용한 도로중심선 평면선형 평가)

  • Kim, Dong-Ki;Choi, Se-Hyu
    • International Journal of Highway Engineering
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    • v.14 no.1
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    • pp.1-8
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    • 2012
  • The horizontal alignment of road is deeply related with the stability of the road and traffic capacity. It is necessary to analyze horizontal alignment of road accurately for efficient maintenance of the road and relevance judgment about the standard. Recently the study on horizontal alignment of road using Lidar data and GPS was concluded, but they were many problem analyzing horizontal alignment radius of curvature in wide area. In this study, the tool which the radius of curvature can evaluate the suitability about "Rules about the Road Structure & Facilities Standards" by using center lines of the road of the digital map tries to implement on GIS. The interface was designed and implemented which can automatically estimate the Road Centerline Horizontal Alignment by using $ESRI^{(R)}$ $ArcObject^{TM}$.

Analysis of Linear Time-Invariant Spare Network and its Computer Programming (sparse 행렬을 이용한 저항 회로망의 해석과 전산프로그래밍)

  • 차균현
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.11 no.2
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    • pp.1-4
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    • 1974
  • Matrix inversion is very inefficient for computing direct solutions of the large sparse systems of linear equations that arise in many network problems. This paper describes some computer programming techniques for taking advantage of the sparsity of the admittance matrix. with this method, direct solutions are computed from sparse matrix. It is Possible to gain a significant reduction in computing time, memory and round-off emir[r. Retails of the method, numerical examples and programming are given.

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SOAP-based Distributed Processing Scheduling Framework: pyBubble (SOAP기반의 분산처리 스케줄링 프레임웍: pyBubble)

  • ;;;R.S.Ramakrishna
    • Proceedings of the Korean Information Science Society Conference
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    • pp.742-744
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    • 2004
  • 본 논문은 웹 서비스 프로토콜인 SOAP기반의 병렬처리 프레임웍인 pyBubble의 설계와 구현에 관한 것이다. 그리드 어플리케이션 프로그래밍의 어려움을 덜기 위해 그리드 미들웨어들로부터의 복잡성에 투명성을 제공하는 것을 본 논문의 목표로 한다. 이는 RPC스타일의 프로그래밍 인터페이스를 지원하면서 파이썬 스크립트 언어의 이식성과 확장성을 통해 기존 병렬처리 어플리케이션의 그리드화와 다양한 자원 스케줄링을 연구 할 수 있도록 하는 스케줄링 프레임웍이 주요 기능적 요소이다. 병렬처리를 위해 비동기 SOAP과 이를 이용한 Task-Farming과 DAG기반의 스케줄링의 지원함으로써 고성능의 그리드 계산환경을 제공하고자 한다.

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