• Title/Summary/Keyword: Integrated design environment

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Development of Simulation Architecture Framework for Simulation Based Acquisition (모의기반획득을 위한 시뮬레이션 아키텍처 프레임워크 개발)

  • Cho, Kyu-Tae;Shim, Jun-Yong;Lee, Yong-Heon;Lee, Seung-Young;Kim, Sae-Hwan
    • Journal of the Korea Society for Simulation
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    • v.19 no.3
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    • pp.81-89
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    • 2010
  • Recent modeling and simulation technology is being used in various fields. Especially in the field of military, Simulation-Based Acquisition (SBA) is recognized as a essential policy. To effectively carry out SBA, modeling and simulation techniques should be applied in the whole life-cycle for the weapon system development, and simulation architecture framework which provides easily reusable and interoperability is needed. Through reusability and interoperability, the costs of constructing the integrated collaborate environment for simulation based acquisition can be minimized. In this study, we define requirements, issues for enhancing reusability and interoperability, and propose simulation framework as a solution of the problem including structural design. Proposing simulation framework provides common functions for producing simulator as reusable units and easily changeable structure on user's purpose. In addition, we provide the result for applying simulation framework to our project.

Color-Tuning Mechanism of the Lit Form of Orange Carotenoid Protein

  • Man-Hyuk Han;Hee Wook Yang;Jungmin Yoon;Yvette Villafani;Ji-Young Song;Cheol Ho Pan;Keunwan Park;Youngmoon Cho;Ji-Joon Song;Seung Joong Kim;Youn-Il Park;Jiyong Park
    • Molecules and Cells
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    • v.46 no.8
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    • pp.513-525
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    • 2023
  • Orange carotenoid protein (OCP) of photosynthetic cyanobacteria binds to ketocarotenoids noncovalently and absorbs excess light to protect the host organism from light-induced oxidative damage. Herein, we found that mutating valine 40 in the α3 helix of Gloeocapsa sp. PCC 7513 (GlOCP1) resulted in blue- or red-shifts of 6-20 nm in the absorption maxima of the lit forms. We analyzed the origins of absorption maxima shifts by integrating X-ray crystallography, homology modeling, molecular dynamics simulations, and hybrid quantum mechanics/molecular mechanics calculations. Our analysis suggested that the single residue mutations alter the polar environment surrounding the bound canthaxanthin, thereby modulating the degree of charge transfer in the photoexcited state of the chromophore. Our integrated investigations reveal the mechanism of color adaptation specific to OCPs and suggest a design principle for color-specific photoswitches.

A Worker-Driven Approach for Opening Detection by Integrating Computer Vision and Built-in Inertia Sensors on Embedded Devices

  • Anjum, Sharjeel;Sibtain, Muhammad;Khalid, Rabia;Khan, Muhammad;Lee, Doyeop;Park, Chansik
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.353-360
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    • 2022
  • Due to the dense and complicated working environment, the construction industry is susceptible to many accidents. Worker's fall is a severe problem at the construction site, including falling into holes or openings because of the inadequate coverings as per the safety rules. During the construction or demolition of a building, openings and holes are formed in the floors and roofs. Many workers neglect to cover openings for ease of work while being aware of the risks of holes, openings, and gaps at heights. However, there are safety rules for worker safety; the holes and openings must be covered to prevent falls. The safety inspector typically examines it by visiting the construction site, which is time-consuming and requires safety manager efforts. Therefore, this study presented a worker-driven approach (the worker is involved in the reporting process) to facilitate safety managers by developing integrated computer vision and inertia sensors-based mobile applications to identify openings. The TensorFlow framework is used to design Convolutional Neural Network (CNN); the designed CNN is trained on a custom dataset for binary class openings and covered and deployed on an android smartphone. When an application captures an image, the device also extracts the accelerometer values to determine the inclination in parallel with the classification task of the device to predict the final output as floor (openings/ covered), wall (openings/covered), and roof (openings / covered). The proposed worker-driven approach will be extended with other case scenarios at the construction site.

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A Study on U-Service for Security in U-City Newtown Planning (신도시계획의 계획지표를 반영한 U-City의 U-방범서비스 개선방안 연구)

  • Yoon, Hyo Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.5D
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    • pp.645-654
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    • 2009
  • This study started with necessity of historical spatial planning skills in U-city planning. Though U-city technology and information are very important, U-city development should be considered on the base of various experience of spatial planning. This study explored spatial planning indexes change in the recent newtown plans. In particular, safety and security were intensively analyzed. In addition, many theories on safe urban space, ubiquitous technology, traditional defensible space, and CPTED (Crime Prevention through Environmental Design) are compared. The findings are as follows. First, each planning is not integrated and there is lack of network among each planning. Specifically, from the crime prevention perspective, there is only mechanical monitoring such as CCTV without architectural approach. Even though CCTV is social needs, it is necessary to adopt it with architectural environment in order to improve the synergy effect of spatial planning and non-spatial planning.

Intelligent prediction of engineered cementitious composites with limestone calcined clay cement (LC3-ECC) compressive strength based on novel machine learning techniques

  • Enming Li;Ning Zhang;Bin Xi;Vivian WY Tam;Jiajia Wang;Jian Zhou
    • Computers and Concrete
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    • v.32 no.6
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    • pp.577-594
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    • 2023
  • Engineered cementitious composites with calcined clay limestone cement (LC3-ECC) as a kind of green, low-carbon and high toughness concrete, has recently received significant investigation. However, the complicated relationship between potential influential factors and LC3-ECC compressive strength makes the prediction of LC3-ECC compressive strength difficult. Regarding this, the machine learning-based prediction models for the compressive strength of LC3-ECC concrete is firstly proposed and developed. Models combine three novel meta-heuristic algorithms (golden jackal optimization algorithm, butterfly optimization algorithm and whale optimization algorithm) with support vector regression (SVR) to improve the accuracy of prediction. A new dataset about LC3-ECC compressive strength was integrated based on 156 data from previous studies and used to develop the SVR-based models. Thirteen potential factors affecting the compressive strength of LC3-ECC were comprehensively considered in the model. The results show all hybrid SVR prediction models can reach the Coefficient of determination (R2) above 0.95 for the testing set and 0.97 for the training set. Radar and Taylor plots also show better overall prediction performance of the hybrid SVR models than several traditional machine learning techniques, which confirms the superiority of the three proposed methods. The successful development of this predictive model can provide scientific guidance for LC3-ECC materials and further apply to such low-carbon, sustainable cement-based materials.

Design of a Mapping Framework on Image Correction and Point Cloud Data for Spatial Reconstruction of Digital Twin with an Autonomous Surface Vehicle (무인수상선의 디지털 트윈 공간 재구성을 위한 이미지 보정 및 점군데이터 간의 매핑 프레임워크 설계)

  • Suhyeon Heo;Minju Kang;Jinwoo Choi;Jeonghong Park
    • Journal of the Society of Naval Architects of Korea
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    • v.61 no.3
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    • pp.143-151
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    • 2024
  • In this study, we present a mapping framework for 3D spatial reconstruction of digital twin model using navigation and perception sensors mounted on an Autonomous Surface Vehicle (ASV). For improving the level of realism of digital twin models, 3D spatial information should be reconstructed as a digitalized spatial model and integrated with the components and system models of the ASV. In particular, for the 3D spatial reconstruction, color and 3D point cloud data which acquired from a camera and a LiDAR sensors corresponding to the navigation information at the specific time are required to map without minimizing the noise. To ensure clear and accurate reconstruction of the acquired data in the proposed mapping framework, a image preprocessing was designed to enhance the brightness of low-light images, and a preprocessing for 3D point cloud data was included to filter out unnecessary data. Subsequently, a point matching process between consecutive 3D point cloud data was conducted using the Generalized Iterative Closest Point (G-ICP) approach, and the color information was mapped with the matched 3D point cloud data. The feasibility of the proposed mapping framework was validated through a field data set acquired from field experiments in a inland water environment, and its results were described.

Prospects & Issues of NFT Art Contents in Blockchain Technology (블록체인 NFT 문화예술콘텐츠의 현황과 과제)

  • Jong-Guk Kim
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.115-126
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    • 2023
  • In various fields such as art, design, music, film, sports, games, and fashion, NFTs (Non-Fungible Tokens) are creating new economic value through trading platforms dedicated to NFT art and content. In this article, I analyze the current state of blockchain technology and NFT art content in the context of an expanding market for blockchain-based NFT art content in the metaverse. I also propose several tasks based on the economic and industrial logic of technological innovation. The first task proposed is to integrate cultural arts on blockchain, metaverse, and NFT platforms through digital innovation, instead of separating or distinguishing between creative production and consumption. Before the COVID-19 pandemic, there was a clear separation between creators and consumers. However, with the rise of Web 3.0 platforms, any user can now create and own their own content. Therefore, it is important to promote a collaborative and integrated approach to cultural arts production and consumption in the blockchain and metaverse ecosystem. The second task proposed is to align the legal framework with blockchain-based technological innovation. The enactment and revision of relevant laws should focus on promoting the development of the NFT trading platform ecosystem, rather than merely regulating it for user protection. As blockchain-based technology continues to evolve, it is important that legal systems adapt to support and promote innovation in the space. This shift in focus can help create a more conducive environment for the growth of blockchain-based NFT platforms. The third task proposed is to integrate education on digital arts, including metaverse and NFT art contents, into the current curriculum. This education should focus on convergence and consilience, rather than merely mixing together humanities, technology, and arts. By integrating digital arts education into the curriculum, students can gain a more comprehensive understanding of the potential of blockchain-based technologies and NFT art. This article examines the digital technological innovation such as blockchain, metaverse, and NFT from an economic and industrial point of view. As a limitation of this research, the critical mind such as philosophical thinking or social criticism on technological innovation is left as a future task.

GPU-Optimized BVH and R-Triangle Methods for Rapid Self-Intersection Handling in Fabrics

  • Jong-Hyun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.8
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    • pp.59-65
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    • 2024
  • In this paper, we present a GPU-based acceleration of computationally intensive self-collision processing in triangular mesh-based cloth simulation. For Compute Unified Device Architecture (CUDA)-based parallel optimization, we propose 1) an efficient way to build, update, and traverse the Bounding Volume Hierarchy (BVH) tree on the GPU, and 2) optimize the Representative-Triangle (R-Triangle) technique on the GPU to minimize primitive collision checking in triangular mesh-based cloth simulations. As a result, the proposed method can handle self-collisions and object collisions of cloth simulation in GPU environment faster and more efficiently than CPU-based algorithms, and experiments on various scenes show that it can achieve simulation results that are 5x to 10x faster. Since the proposed method is optimized for BVH on GPU, it can be easily integrated into various algorithms and fields that utilize BVH.

Design and Implementation of a Single-Chip 8-Bit Microcontroller (단일 칩 8비트 마이크로컨트롤러의 설계 및 구현)

  • Ahn, Jung-Il;Park, Sung-Hwan;Kwon, Sung-Jae
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.4
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    • pp.72-81
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    • 2006
  • In this paper, we first define a total of 64 instructions that are considered to be essential and frequently used, construct a datapath diagram, determine the control sequence using a finite state machine, and implement an 8-bit microcontroller using FPGA in VHDL. In the past, only functional simulation results of a rudimentary microcontroller were reported, the microcontroller lacked interrupt handling capability, or it was not implemented in hardware. We have designed a self-contained 8-bit microcontroller such that it can perform data transfer, addition, and logical operations, as well as stack and external interrupt operations. Following timing simulation of the designed microcontroller, we implemented it in an FPGA and verified its operation successfully. The design and implementation has been done under the Altera MAX+PLUS II integrated development environment using the EP1K50TC144-3 chip. The maximum operating frequency, the total number of logic elements used, and the logic utilization were found to be 9.39 MHz, 2813, and 97%, respectively. The result can be used as a microcontroller IP, and as needs arise, the VHDL code can be modified accordingly.

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On Ensuring the Safety Integrity of the BCT System through Linkage Safety Analysis Techniques and SysML-based Architecture Artifact (안전분석 기법과 SysML 기반의 아키텍처 산출물의 연계성 확보를 통한 BCT 시스템의 안전 무결성 확보에 관한 연구)

  • Kim, Joo-Uk;Oh, Se-Chan;Sim, Sang-Hyun;Kim, Young-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.352-362
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    • 2016
  • Today, it appears that the rapid advances in technology have allowed broadening both the system technology and the business opportunities in the rail industry. Owing to the developments in technology and the industry, and also due to the hearth, the latest high-speed trains and a variety of unattended operations in rail systems are being developed and are operational. In particular, this study covers the existing railway rolling stock and signaling systems that operate in an environment more complex than the concept of localized management, so the introduction of a new signaling system is needed. In addition, developments based on the existing signal system concepts for passenger railways need to minimize human injury. In this study, to participate in the development of new systems in a variety of domains and to provide an integrated common vision methodology as an engineer on the basis of efficient signal system design and safety would like to present the methodology for action. Therefore, each different linkage through the next new domain zone system design: design through to secure the integrity of safety than can secure methodology.