• Title/Summary/Keyword: R script

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Best Practices on Improving the Virtual Reality (VR) Content Development Process with EPIC's Unreal Engine

  • Kong, Ji Hoon;Kim, Ki Du;Kim, R. Young Chul
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.417-423
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    • 2021
  • Recently, in the Game industries, they are increasing to use of game engines to reduce the development cost of 3D content and software. In particular, Unreal Engine provides a blueprint visual scripting function that enables software production without programming (coding). Although High-end video content can be produced, the problem is that content development is complicated and requires advanced manpower. To solve this problem, we propose an optimized VR game context process. This is because 1) a Blueprint visual script is used, 2) VR games with various interactions can be produced, 3) Non-majors in the software field (or groups) can develop advanced content. In various related industries such as defense, medical care, manufacturing, and construction, we may easily develop any game content without programming with our refined VR rhythm action game development process. We expect to reduce the development cost with the process advantages in the game industries.

Useful Cases for the Probability Education in the Elementary Statistics Course (기초통계학 교육 시 확률에 관한 몇 가지 유용한 사례들)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.22 no.4
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    • pp.829-854
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    • 2009
  • Because the probability education in the elementary statistics course is the starting part of the inferential statistics, it is hard to follow the lecture for undergraduate students. In this paper, we suggest the useful cases for the probability education in the elementary statistics course and give the corresponding R scripts.

Grammar of the Hanmadang Script (한마당 스크립트의 문법)

  • Jun, S.;Lim, C.D.;Lee, G.Y.;Ine, S.R.;Kim, M.J.;Kim, H.S.
    • Electronics and Telecommunications Trends
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    • v.9 no.2
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    • pp.1-21
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    • 1994
  • 본 논문은 한국전자통신연구소에서 개발 중인 DB서버용 클라이언트 도구인 한마당에서 객체 저장을 위해 사용하는 한마당 스크립트의 문법을 기술하였다. 한마당은 클라이언트 서버 형태로 관계형 DBMS를 접근하는 도구로서 OSF(Open Software Foundation)의 DCE(Distributed Computing Environment)를 최종 목표환경으로 한다. 본 논문에서는 한마당 스크립트의 문법과 함께 이의 사용 예와 예제에 의하여 생성된 화면을 소개하였다.

The Study on Dynamic Protocol Communication Development Which Uses a Script (스크립트를 사용한 동적 프로토콜 통신 개발에 관한 연구)

  • Kim, Han-Sung
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1660-1661
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    • 2007
  • 수 처리 분야의 통합시스템을 구현함에 있어 이기종 장비 간의 데이터 연계는 프로그래머의 통신 프로그래밍 작업으로 매번 개발을 하여하는 문제점을 가지고 있다. 이로 인해 시스템의 안정화에 많은 시간 및 인력이 투입되고 있다. 본 연구는 인터프리터 엔진을 활용하여 엔지니어가 엔지니어링 한 데이터 (통신 스크립트)를 번역, 해석, 자동동작 시켜 별도의 프로그래밍 작업(개발)없이 엔지니어링으로만 통합 시스템의 감시 및 제어를 구축 가능케 프로토콜 편집기를 개발 하여 신뢰성 높은 시스템을 구축키 위한 내용이다.

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Sensitivity of quantitative symmetry measurement algorithms for convergent beam electron diffraction technique

  • Hyeongsub So;Ro Woon Lee;Sung Taek Hong;Kyou-Hyun Kim
    • Applied Microscopy
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    • v.51
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    • pp.10.1-10.9
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    • 2021
  • We investigate the sensitivity of symmetry quantification algorithms based on the profile R-factor (Rp) and the normalized cross-correlation (NCC) coefficient (γ). A DM (Digital Micrograph©) script embedded in the Gatan digital microscopy software is used to develop the symmetry quantification program. Using the Bloch method, a variety of CBED patterns are simulated and used to investigate the sensitivity of symmetry quantification algorithms. The quantification results show that two symmetry quantification coefficients are significantly sensitive to structural changes even for small strain values of < 1%.

Implementation of R-language-based REST API and Solution for Security Issues (R 언어 기반의 REST API 구현 및 보안문제의 해결 방안)

  • Kang, DongHoon;Oh, Sejong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.1
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    • pp.387-394
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    • 2019
  • Recently, the importance of big data has been increased, and demand for data analysis for the big data is also increased. R language is developed for data analysis, and users are analyzing data by using algorithms of various statistics, machine learning and data mining packages in R language. However, it is difficult to develop an application using R. Early study proposed a method to call R script through another language such as PHP, Java, and so on. However, it is troublesome to write such a development method in addition to R in combination with other languages. In this study, we introduce how to write API using only R language without using another language by using Plumber package. We also propose a solution for security issues related with R API. If we use propose technology for developing web application, we can expect high productivity, easy of use, and easy of maintenance.

Development of 3D Stereoscopic Image Generation System Using Real-time Preview Function in 3D Modeling Tools

  • Yun, Chang-Ok;Yun, Tae-Soo;Lee, Dong-Hoon
    • Journal of Korea Multimedia Society
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    • v.11 no.6
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    • pp.746-754
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    • 2008
  • A 3D stereoscopic image is generated by interdigitating every scene with video editing tools that are rendered by two cameras' views in 3D modeling tools, like Autodesk MAX(R) and Autodesk MAYA(R). However, the depth of object from a static scene and the continuous stereo effect in the view of transformation, are not represented in a natural method. This is because after choosing the settings of arbitrary angle of convergence and the distance between the modeling and those two cameras, the user needs to render the view from both cameras. So, the user needs a process of controlling the camera's interval and rendering repetitively, which takes too much time. Therefore, in this paper, we will propose the 3D stereoscopic image editing system for solving such problems as well as exposing the system's inherent limitations. We can generate the view of two cameras and can confirm the stereo effect in real-time on 3D modeling tools. Then, we can intuitively determine immersion of 3D stereoscopic image in real-time, by using the 3D stereoscopic image preview function.

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A Big Data Analysis of Yumentingzheng: Weiwenqiju as an Example (어문청정 빅데이터 분석: 위문기거 일례)

  • Snowberger, Aaron Daniel;Lee, Choong Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.624-626
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    • 2021
  • Yumentingzheng, which records the contents of the Qing dynasty's discussions with his subjects, is an important document like the Annals of Joseon in Korea. This paper describes the method and steps for big data analysis of Yumentingzheng written in Manchu alphabet. In big data analysis of documents written in Manchu characters, there are many problems that need to be solved in advance, and research on these should be preceded. In this paper, a method of big data analysis using the R language was proposed in the stage where the text written in Manchurian characters was transliterated into Latin characters through a preliminary study to be conducted in the future. In the proposed method, Apkai method was adopted for the transliteration of Wumentingzheng, and the results of big data analysis were presented using the text of Weiwenqiju.

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Web-Based Data Analysis Service for Smart Farms (스마트팜을 위한 웹 기반 데이터 분석 서비스)

  • Jung, Jimin;Lee, Jihyun;Noh, Hyemin
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.9
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    • pp.355-362
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    • 2022
  • Smart Farm, which combines information and communication technologies with agriculture is moving from simple monitoring of the growth environment toward discovering the optimal environment for crop growth and in the form of self-regulating agriculture. To this end, it is important to collect related data, but it is more important for farmers with cultivation know-how to analyze the collected data from various perspectives and derive useful information for regulating the crop growth environment. In this study, we developed a web service that allows farmers who want to obtain necessary information with data related to crop growth to easily analyze data. Web-based data analysis serivice developed uses R language for data analysis and Express web application framework for Node.js. As a result of applying the developed data analysis service together with the growth environment monitoring system in operation, we could perform data analysis what we want just by uploading a CSV file or by entering raw data directly. We confirmed that a service provider could provid various data analysis services easily and could add a new data analysis service by newly adding R script.

A comparison of normalized formant trajectories of English vowels produced by American men and women

  • Yang, Byunggon
    • Phonetics and Speech Sciences
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    • v.11 no.1
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    • pp.1-8
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    • 2019
  • Formant trajectories reflect the continuous variation of speakers' articulatory movements over time. This study examined formant trajectories of English vowels produced by ninety-three American men and women; the values were normalized using the scale function in R and compared using generalized additive mixed models (GAMMs). Praat was used to read the sound data of Hillenbrand et al. (1995). A formant analysis script was prepared, and six formant values at the corresponding time points within each vowel segment were collected. The results indicate that women yielded proportionately higher formant values than men. The standard deviations of each group showed similar patterns at the first formant (F1) and the second formant (F2) axes and at the measurement points. R was used to scale the first two formant data sets of men and women separately. GAMMs of all the scaled formant data produced various patterns of deviation along the measurement points. Generally, more group difference exists in F1 than in F2. Also, women's trajectories appear more dynamic along the vertical and horizontal axes than those of men. The trajectories are related acoustically to F1 and F2 and anatomically to jaw opening and tongue position. We conclude that scaling and nonlinear testing are useful tools for pinpointing differences between speaker group's formant trajectories. This research could be useful as a foundation for future studies comparing curvilinear data sets.