• Title/Summary/Keyword: Global Transformation

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비선형 유압 서보시스템의 비선형 변환 및 이에 대한 선형제어에 관한 연구 (Application of the nonlinear transformation and linear state state feedback control to nonlinear hydraulic servo system)

  • 김영준;장효환
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.272-275
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    • 1989
  • In this paper feedback linearization of valve-controlled nonlinear hydraulic velocity control system is studied. The $C^{\infty}$ nonlinear transformation T is obtained, and it is shown that this transformation is global one. Linear equivalence of nonlinear hydraulic velocity control system is obtained by this global nonlinear transformation, and linear state feedback control law is applied to this linear model. It is shown that this transformation method is to the linear approximation by simulation study..

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Gemas: Enhancing the Distribution of Integrated Eco-Friendly Marketing Strategies towards Digital Transformation and Global Competitiveness

  • Diana AQMALA;Febrianur Ibnu Fitroh Sukono PUTRA
    • 유통과학연구
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    • 제22권5호
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    • pp.39-57
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    • 2024
  • Purpose: Various policies continue to be strengthened to develop Micro, Small and Medium Enterprises (MSMEs), which have a strategic role in the economy through the pillars of corporatization, capacity and financing to support strong and inclusive economic growth. Efforts to transform MSMEs marketing strategies are undertaken through eco-friendly digitalization to increase resilience and more productive and innovative capacity. Research design, data and methodology: This research is an exploratory qualitative approach taken to investigate the transformation of eco-friendly marketing strategies for MSMEs to increase competitiveness at the global level. The samples obtained were 425 MSMEs assisted by the DKI Jakarta, Bali, Java, Borneo, and Sumatera. The data collection technique used non-probability sampling (snowball sampling). Data is analyzed through collection, reduction, analysis, validity testing, presentation and conclusion. Results: This research shows the transformation of eco-friendly digital-based MSME marketing strategies occurred through four stages, namely production and institutional activities, expanding market share, digitalization and financing, and export market access. Conclusions: Eco-friendly digital transformation allows MSMEs competencies to be refined to improve business processes and business competitiveness at the international level. The contribution of this marketing strategy transformation is expanding MSMEs access to financial institutions (fintech), marketplaces, and QRIS (QR Code Indonesian Standard) digital payments.

매개변환요소에 따른 WGS84와 Bessel 타원체간의 좌표변환해석 (Analysis of Coordinates Transformation between WGS84 and Bessel Ellipsoids According to the Transformation Parameters)

  • 강준목;신봉호;이용창;윤철규
    • 대한토목학회논문집
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    • 제14권5호
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    • pp.1209-1217
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    • 1994
  • 본 연구는 WGS84 타원체와 Bessel 타원체간의 측지좌표계 변환의 확립을 위해 매개변환요소에 따른 타원체 간의 좌표변환체계틀 정립, 남한지역에 고루 분포된 15개 천문점에 대한 GPS 관측자료를 토대로 위성관측에 의한 Geoid 고를 산정하고 좌표변환을 위한 매개변수를 3-, 4-, 6- 및 7-변환요소로 도출하여 각 요소별로 변환특성을 고찰하고 DMA에서 제시된 변환요소의 결과와 함께 지도투영에 적용하므로서 국내에 적합한 변환계수를 제시한 것이다.

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이상치 제거와 삼각망 기반의 지역 변환을 이용한 영상 등록 (Image registration using outlier removal and triangulation-based local transformation)

  • 예철수
    • 대한원격탐사학회지
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    • 제30권6호
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    • pp.787-795
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    • 2014
  • 본 논문에서는 정합된 특징점 가운데 과대 오차를 포함한 정합점을 제거한 후에 삼각망 기반 지역 변환(Triangulation-based Local Transformation, TLT)을 이용한 영상 등록 방법을 제안한다. 기하 평균 기반의 코너 검출기를 통해 검출된 코너점에 대해 Pearson's correlation coefficient를 이용한 코너 정합을 수행하고 임계값 이상의 유사도를 가지는 코너 가운데 좌우 일관성 검사(Left-Right Consistency, LRC)를 통과한 코너를 1차 정합쌍으로 선정한다. 1차 정합쌍 가운데 RANSAC 기반 글로벌 변환(RANSAC-based Global Transformation, RGT) 오차가 이상치 임계값보다 작은 정합쌍을 최종 정합쌍으로 결정한다. 최종 정합쌍 코너를 이용해서 기준 영상과 관측 영상에서 Delaunay Triangulated Irregular Networks(TINs)을 각각 구성한 후에 서로 대응되는 각 삼각형마다 어파인 변환을 수행하고 각 삼각형 내부의 모든 화소들을 기준 영상 좌표로 변환한다. 제안한 알고리즘을 KOMPSAT-2 영상에 적용하여 RANSAC 기반 글로벌 변환보다 우수한 영상 등록 성능을 보임을 확인하였다.

지상레이저스캐너 데이터의 자동 글로벌 보정 (Automatic Global Registration for Terrestrial Laser Scanner Data)

  • 김창재;어양담;한동엽
    • 한국측량학회지
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    • 제28권2호
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    • pp.281-287
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    • 2010
  • 본 연구에서는 지상레이저스캔 데이터의 보정을 위하여 변환 알고리즘을 비교하였다. 두 개 이상의 시점으로부터 취득된 스캔 데이터를 변환하는 데 많이 사용되는 pair-wise 변환은 오차가 누적된다. 스캔데이터간 보정에 많이 사용되는 ICP 알고리즘은 초기 기하정보가 필요하며, 여러 스캔데이터를 보정할 때 많은 기준점으로 인하여 동시에 보정하기 어렵다. 따라서 정합점을 이용한 글로벌 보정 방법을 수행하였다. 정합점은 SIFT를 이용하여 자동으로 강도영상으로부터 추출하였으며, GP 분석을 이용하여 글로벌 보정을 수행하였다. 제안된 글로벌 보정 방법은 연산속도, 정확도, 자동화 등에 있어서 장점을 지닌 것으로 나타났다. 본 연구의 성과를 이용하여 정합문제에 있어서 정확도와 속도를 적절히 고려한 보정방법을 개발할 수 있다.

A nonlinear transformation methods for GMM to improve over-smoothing effect

  • Chae, Yi Geun
    • Journal of Advanced Marine Engineering and Technology
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    • 제38권2호
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    • pp.182-187
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    • 2014
  • We propose nonlinear GMM-based transformation functions in an attempt to deal with the over-smoothing effects of linear transformation for voice processing. The proposed methods adopt RBF networks as a local transformation function to overcome the drawbacks of global nonlinear transformation functions. In order to obtain high-quality modifications of speech signals, our voice conversion is implemented using the Harmonic plus Noise Model analysis/synthesis framework. Experimental results are reported on the English corpus, MOCHA-TIMIT.

Remote Distance Measurement from a Single Image by Automatic Detection and Perspective Correction

  • Layek, Md Abu;Chung, TaeChoong;Huh, Eui-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권8호
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    • pp.3981-4004
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    • 2019
  • This paper proposes a novel method for locating objects in real space from a single remote image and measuring actual distances between them by automatic detection and perspective transformation. The dimensions of the real space are known in advance. First, the corner points of the interested region are detected from an image using deep learning. Then, based on the corner points, the region of interest (ROI) is extracted and made proportional to real space by applying warp-perspective transformation. Finally, the objects are detected and mapped to the real-world location. Removing distortion from the image using camera calibration improves the accuracy in most of the cases. The deep learning framework Darknet is used for detection, and necessary modifications are made to integrate perspective transformation, camera calibration, un-distortion, etc. Experiments are performed with two types of cameras, one with barrel and the other with pincushion distortions. The results show that the difference between calculated distances and measured on real space with measurement tapes are very small; approximately 1 cm on an average. Furthermore, automatic corner detection allows the system to be used with any type of camera that has a fixed pose or in motion; using more points significantly enhances the accuracy of real-world mapping even without camera calibration. Perspective transformation also increases the object detection efficiency by making unified sizes of all objects.

NURBS Surface Global Interpolation에 대한 한 방법: II (A New Method of the Global Interpolation in NURBS Surface: II)

  • 정형배
    • 한국CDE학회논문집
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    • 제3권4호
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    • pp.243-250
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    • 1998
  • In parametric surface interpolation, the choice of the parameter values to the set of scattered points makes a great deal of difference in the resulting surface. A new method is developed and tested for the parametrization in NURBS surface global interpolation. This method uses the parameter value at the maximal value of relevant rational basis function, to assign the parameter values to the arbitrary set of design data. This method gives us several important advantages in geometric modeling, the freedom of the selection of knot values, the feasible transformation of the data set to the matrix, the possibility of affinite transformation between the design data and generated surface, etc.

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Digital Transformation Shift in Global Pharmaceutical Industry Going through the Covid-19 Pandemic Era

  • Il Seo;Hak Kyun Yang;Min Joon Seo;Sung Hyun Kim;Jin Tae Hong
    • Asian Journal of Innovation and Policy
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    • 제12권1호
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    • pp.054-074
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    • 2023
  • With the advent of the '4th Industrial Revolution', digitalization using AI (Artificial Intelligence), big data, IoT (Internet of Things), cloud computing and mobile is accelerating across all industries and global companies have fundamentally reorganized customer experiences, business models, and operations centering on digital transformation. Business innovation drives productivity improvement, process simplification, price, competitiveness and sustainable expansion. Whether digital transformation will be necessary for the current industrial environment is no longer important, and how quickly companies achieve digitalization has emerged as the utmost crucial element in industrial continuity. As non-face-to-face and remote technologies have begun in earnest, and accelerated in the pharmaceutical industry. They are looking for ways to provide value, generate profits, improve efficiency, and sustain the future. Compared to other industries, the pharmaceutical-related sectors have shown high interest in digital transformation especially to reduce costs and meet the challenge of delivering products during the pandemic environment.

Future of Virtual Reality and Metaverse in Hospitality and Tourism Management: An Industry Perspective

  • Jay, Bhakta;Amanda, Charreton;Anne Anoek, de Rooij;Minwoo, Lee;Hubie, Sangster;Yingni, Wang
    • Journal of Smart Tourism
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    • 제2권4호
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    • pp.25-34
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    • 2022
  • Digital transformation plays a critical role in making hospitality and tourism organizations create new business processes and customer experiences. The hospitality and tourism industry thrives on creating unique experiences by offering exceptional and innovative customer services through innovative digital technologies. Thus, this study provides an overview of the current use of these technologies in the hospitality industry and their potential advantages and opportunities. In particular, the metaverse and immersive virtual reality (VR) technology are gaining popularity in the hospitality industry, offering new opportunities for innovation and driving core values. This study discusses the current use of VR and metaverse and potential advantages and opportunities for researchers and practitioners in the hospitality and tourism context. Thus, we provide suggestions and implications for hospitality and tourism industry stakeholders to increase core values and business performance and create sustainable competitive advantages over other market players through VR and metaverse.