• Title/Summary/Keyword: Digital models

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Simulation of the Distance Relay Using EMTP MODELS

  • J.Y. Heo;Kim, C.H.;R.K. Aggarwal
    • KIEE International Transactions on Power Engineering
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    • v.4A no.1
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    • pp.26-32
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    • 2004
  • Digital technology has advanced significantly over the years both in terms of software tools and hardware availability. It is now applied extensively throughout many area of electrical engineering including protective relaying in power systems. Digital relays have numerous advantages over traditional analog relays, such as the ability to accomplish what is difficult or impossible using analog relays. Although non real-time simulators like PSCAD/EMTDC are employed to test the algorithms, such simulations are disadvantaged in that they cannot test the relay dynamically. Hence, real-time simulators like RTDS are used. However, the latter requires large space and is very expensive. This paper uses EMTP MODELS to simulate the power system and the distance relay. The distance relay algorithm is implemented and the distance relay is interfaced with a test power system. The distance relay's performance is then assessed interactively under various fault types, fault distances and fault inception angles. The test results show that we can simulate the distance relay effectively and we can examine the operation of the distance relay very closely including its drawbacks/limitations by using EMTP MODELS. Equally important, this approach facilitates any changes that need to be carried out in order to enhance the Distance Relay under test/examination.

A Study on Process of Creating 3D Models Using the Application of Artificial Intelligence Technology

  • Jiayuan Liang;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.346-351
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    • 2023
  • With the rapid development of Artificial Intelligence (AI) technology, there is an increasing variety of methods for creating 3D models. These include innovations such as text-only generation, 2D images to 3D models, and combining images with cue words. Each of these methods has unique advantages, opening up new possibilities in the field of 3D modeling. The purpose of this study is to explore and summarize these methods in-depth, providing researchers and practitioners with a comprehensive perspective to understand the potential value of these methods in practical applications. Through a comprehensive analysis of pure text generation, 2D images to 3D models, and images with cue words, we will reveal the advantages and disadvantages of the various methods, as well as their applicability in different scenarios. Ultimately, this study aims to provide a useful reference for the future direction of AI modeling and to promote the innovation and progress of 3D model generation technology.

A Lightweight Deep Learning Model for Text Detection in Fashion Design Sketch Images for Digital Transformation

  • Ju-Seok Shin;Hyun-Woo Kang
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.17-25
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    • 2023
  • In this paper, we propose a lightweight deep learning architecture tailored for efficient text detection in fashion design sketch images. Given the increasing prominence of Digital Transformation in the fashion industry, there is a growing emphasis on harnessing digital tools for creating fashion design sketches. As digitization becomes more pervasive in the fashion design process, the initial stages of text detection and recognition take on pivotal roles. In this study, a lightweight network was designed by building upon existing text detection deep learning models, taking into consideration the unique characteristics of apparel design drawings. Additionally, a separately collected dataset of apparel design drawings was added to train the deep learning model. Experimental results underscore the superior performance of our proposed deep learning model, outperforming existing text detection models by approximately 20% when applied to fashion design sketch images. As a result, this paper is expected to contribute to the Digital Transformation in the field of clothing design by means of research on optimizing deep learning models and detecting specialized text information.

Recent trends of smart applications and implications for digital policy (스마트 어플리케이션 동향과 디지털 정책 시사점)

  • Han, Hyun-Soo;Woo, Jeong-Ah
    • Journal of Digital Convergence
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    • v.10 no.1
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    • pp.1-10
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    • 2012
  • In this paper, we review recently emerging smart applications, and analyzed policy implications in light of digital convergence perspective. While extant literatures on smart applications mainly dealt with consumer behaviors based in technology acceptance model or innovation adoption, the research on digital management policy is rather limited. We intend to fill this research gap. As such, we first organize two categories of smart work and smart commerce, and investigate the representative service models, four service models were reviewed for each category respectively. Next, the three policy related constructs are extracted, which are QoL(Quality of Life), public impacts in both the positive and negative ways. Finally, empirical analysis following the Delphi principle was conducted to investigate the policy implications. The results offer useful insights for the further research in digital convergence related policy areas.

Meaning and Policy of Changing R&D Process for the Digital Transformation(DX) (디지털 시대의 R&D 프로세스 변화 의미와 정책 방향)

  • Son, Eun Il;Baek, Chang Hwa
    • Journal of Korean Society for Quality Management
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    • v.50 no.1
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    • pp.35-42
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    • 2022
  • Purpose: The purpose of this study is to examine the characteristics and problems of existing research through various literature investigations on the existing R&D process. Implications are identified through the investigation of existing studies and the characteristics of the digital transformation era are analyzed. We research and propose a new R&D process suitable for the new era of digital transformation. Methods: The research method investigates various literature precedent studies on the existing R&D process and the methods used by companies. Research new R&D processes that reflect the characteristics of the digital transformation era and develop new related models. Results: In the era of digital transformation, the parallel R&D process is being reorganized to respond quickly to the demands of rapid market changes. In order to respond quickly to various customers, the R&D process can respond flexibly in a parallel structure. Conclusion: Along with the development of the R&D process, additional research on indicators and evaluation models that can evaluate them fairly and flexibly is needed. Further research is needed to determine whether the R&D process suitable for the digital transformation era is operating properly.

Development of Ubiquitous Information Projects Evaluation Models and Indexes (유비쿼터스 정보화사업 평가모형 및 지표 개발에 관한 연구)

  • Kim, Ki-Ho;Kim, Jae-Jon;Lee, Sang-Joon
    • Journal of Digital Convergence
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    • v.6 no.3
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    • pp.1-12
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    • 2008
  • This research aims at developing and distributing models and indexes that can evaluate ubiquitous information projects in order to enhance the objectivity and validity of their evaluation. The research adopts a BSC(Balanced Score Card) concept with four views, economic, policy, social, and technical views. The research induces a model of pre-evaluation and a model of post-evaluation according to each view. In order to secure the validity of the models, they are revised and complemented by obtaining advice through interviews with five experts in related fields, and the validity and application possibility of the indexes are verified by surveying ten people working in those fields. Finally, investigating their weights according to the importance of each view and index, they are evaluated using an AHP (Analytic Hierarchy Process) method.

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Single Image-Based 3D Tree and Growth Models Reconstruction

  • Kim, Jaehwan;Jeong, Il-Kwon
    • ETRI Journal
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    • v.36 no.3
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    • pp.450-459
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    • 2014
  • In this paper, we present a new, easy-to-generate system that is capable of creating virtual 3D tree models and simulating a variety of growth processes of a tree from a single, real tree image. We not only construct various tree models with the same trunk through our proposed digital image matting method and skeleton-based abstraction of branches, but we also animate the visual growth of the constructed 3D tree model through usage of the branch age information combined with a scaling factor. To control the simulation of a tree growth process, we consider tree-growing attributes, such as branching orders, branch width, tree size, and branch self-bending effect, at the same time. Other invisible branches and leaves are automatically attached to the tree by employing parametric branch libraries under the conventional procedural assumption of structure having a local self-similarity. Simulations with a real image confirm that our system makes it possible to achieve realistic tree models and growth processes with ease.

An Empirical Study on the Influencing Factors of IPTV Service Adoption (IPTV서비스 수용의 영향요인에 관한 실증적 연구)

  • Lee, Wang Rok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.4
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    • pp.199-211
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    • 2009
  • The purpose of this study is to elicit influential factors on accepting IPTV services and define the casual relationship between the factors, and "user satisfaction", "re-use intention", "stranger recommendation intention", in an attempt to provide useful guidelines to IPTV carriers, contents providers and equipment makers for their forming IPTV service models and marketing strategies. For this end, the theoretical background of this study has been brought from relevant literature, and theoretical study models have been established by logical reasoning of the interrelation among diverse components. Then, the established models have been analyzed by using statistical packages "SPSS(12.0), LISREL(8.72)". Finally theoretical and practical significance and future study direction have been suggested. To make sure of effective validity of IPTV service adoption models above, empirical studies should be made continuously. And then vertical and horizontal studies at a specific point would show ever-changing causal relationship, helping to promote financial outcome of relevant companies and organizations.

Study on Disaster Prevention and Monitoring System for Forest Fire Using Multi-Source GSIS Data (GSIS 다증자료를 이용한 방재 탐지체계에 관한 연구)

  • Lee Kang-Won;Kang Joon-Mook
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.319-326
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    • 2006
  • All around tile world there has been great human and economical damage continuously by disasters like the earthquakes and storms(Tsunami) in eastern asia which recently occurred, and like the New Orleams hurricane in USA. The situation is our countries damage from natural disasters due to heavy snow, storms, forest fires have been increasing In this research we obtained GSIS data of the 05' Yang-yang forest fire disaster area using multi-sensors like airborne laser data, GPS/INS, aerial photograph surveying. In result we produced digital topographical maps, digital elevation models, digital external models, digital images, infrared images. By, analyzing and comparing with past aerial photography we obtained the exact damage area, amount of damage, estimated tile areas where a landslide might occur, and we analyzed vegetations amount of damage and possibility of recovery.

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A Study on Quantitative Analysis Model for Space Analysis - Focused on a Digital Image Processing and Multiple Regression Analysis of Recognition Amount - (공간분석을 위한 정량적 분석 모델에 관한 연구 - 이미지 영상처리와 설문조사 데이터의 다중 회귀분석을 중심으로 -)

  • Lee Hyok-Jun
    • Korean Institute of Interior Design Journal
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    • v.14 no.2 s.49
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    • pp.217-224
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    • 2005
  • The lack of objective decisive criteria and the absence of analyzing tools accrued from the experiments on various types developed from space design process makes it difficult to select and execute alternatives for them. As an attempt of coping with these problems, the aims of this study is to establish space analysis' models and to propose possibility of analyzing models by utilizing the technology of image process. It is now under study in the field of artificial intelligence based on the accomplishment of digital images. This study focused on establishment an analysis model based on accomplished digital images and image processing framework. It helps utilize various processing technologies that are currently in use of image processes, and problems of the study can be supplemented through further follow-up studies. Finally, analysis model can be constructed gradually huge design data in the analogue data to the digital image database and be proposed with index in design or evaluation step.