• 제목/요약/키워드: Module Boundary

검색결과 142건 처리시간 0.023초

성분차 색분할과 검출마스크를 통한 실시간 교통신호등 검출과 인식 (Real time detection and recognition of traffic lights using component subtraction and detection masks)

  • 정준익;노도환
    • 대한전자공학회논문지SP
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    • 제43권2호
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    • pp.65-72
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    • 2006
  • 교통신호등 검출과 인식 시스템은 운전자에게 경고와 보조시스템으로 필요한 장치이다. 본 논문에서는 칼라 비젼시스템을 이용한 주행중 실시간 교통신호등의 검출과 인식법에 대해 제안하고 있다. 제안하는 방법은 크게 네 가지로 구분된다 유사색 환경에서도 신호등 빛 검출이 용이하도록 HSI 색 공간에서 채도와 밝기값의 차를 이용하여 신호등의 빛을 검출하는 신호등 검출, 신호등 외곽검출과 검출된 신호 빛을 바탕으로 교통신호등 외곽 후보영역 설정과 세 검출 결과를 토대로 교통신호등을 인식하는 부분이다. 주행중 영상을 비디오 카메라로 녹화하여 제안하는 방법에 적용하여 결과를 제시하였다. 녹화시 카메라의 줌기능을 이용하여 줌에 의한 입력 영상변화시에도 신호등을 검출 및 인식한 결과를 제시하였다.

조립 합리화를 위한 제품 모듈화의 결정 요소 (Determination factor of Modularization of a product)

  • 목학수;양태일
    • 한국정밀공학회지
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    • 제15권8호
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    • pp.88-101
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    • 1998
  • In this paper, module of a product is determined by the characteristics of a product itself and art assembly process. To analyze the characteristics o( the product, assembly function, structure of subassembly and parts could be considered. Based on the analysis of characteristics of product structure, assembly process and product function, determination criteria of a module could be proposed. For the assembly process, assembly methods, assembly equipment and workers could be considered. For the product structure, constituent object and structural feature could also be considered. To obtain the interrelationship between the product and the assembly process, the matrix table could be used to find the influencing factors that affected the module.

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BIM 모델의 품질검증 사례연구 (Case Study of BIM Quality Assurance)

  • 정연석;이상일;이상호
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2010년도 정기 학술대회
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    • pp.379-382
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    • 2010
  • This study proposes a way to validate BIM data quality in BIM applications. Solibri model checker is adopted as a module development platform, which is based on Java programming language. The platform makes application developers implement BIM model checker for their own purpose. This study has developed a BIM validation module for circulation analysis of building design. The validation module enables end-users to automatically detect data corrupted or not defined. In case studies, the module found that an IFC file generated from a BIM software has wrong relation information between a space and boundary elements. A building model should satisfy modeling requirements and then domain users can get analysis results. The BIM data validation module needs to be developed in each BIM application domain.

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Numerical Analysis for Motion Response of Modular Floating Island in Waves

  • Hyo-Jin Park;Jeong-Seok Kim;Bo Woo Nam
    • 한국해양공학회지
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    • 제37권1호
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    • pp.8-19
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    • 2023
  • In recent years, modular-type floating islands have been considered as a promising option for future ocean space utilization. A modular floating island consists of a number of standardized pontoon-type modules and connectors between them. In this study, the motion responses of a modular floating island in waves was investigated based on frequency-domain numerical analysis. The numerical method is based on the potential flow theory and adopts a higher-order boundary element method with Green's function. First, motion RAOs were directly compared with the model test data by reference to validate the present numerical method. Then, numerical investigations were conducted to analyze the motion characteristics of the floating island by considering various modules shapes and arrangements. It was found that motion responses were reduced in a single central module compared to when divided central modules were used. Finally, the effect of modular arrangement on the motion responses in irregular waves was discussed. It was confirmed that multiple-layer outer modules are more effective in calming the central module than using single-layer outer modules, except under very long period conditions.

Photovoltaic Micro Converter Operated in Boundary Conduction Mode Interfaced with DC Distribution System

  • Seo, Gab-Su;Shin, Jong-Won;Cho, Bo-Hyung;Lee, Kyu-Chan
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2011년도 추계학술대회
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    • pp.44-45
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    • 2011
  • Research on photovoltaic (PV) generation is taking a lot of attention due to its infinity and environment-friendliness with decrease of price per PV cell. While central inverters connect group of PV modules to utility grid in which maximum power point tracking (MPPT) for each module is difficult, micro inverter is attached on each module so that MPPT for individual modules can be easily achieved. Moreover, energy generation and consumption efficiency can be much improved by employing direct current (DC) distribution system. In this paper, a digitally controlled PV micro converter interfacing PV to DC distribution system is proposed. Boundary conduction mode (BCM) is utilized to achieve zero voltage switching (ZVS) of active switch and eliminate reverse recovery problem of passive switch. A 120W prototype boost PV micro converter is implemented to verify the feasibility and experimental results show higher than 98% efficiency at peak power and 97.29% of European efficiency.

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32비트 RISC 프로세서를 위한 TAG 기반의 재사용 가능한 임베디드 디버거 설계 (Design of the Reusable Embedded Debugger for 32bit RISC Processor Using JTAG)

  • 정대영;최광계;곽승호;이문기
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(2)
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    • pp.329-332
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    • 2002
  • The traditional debug tools for chip tests and software developments need a huge investment and a plenty of time. These problems can be overcome by Embedded Debugger based the JTAG boundary Scan Architecture. Thus, the IEEE 1149.1 standard is adopted by ASIC designers for the testability problems. We designed the RED(Reusable Embedded Debugger) using the JTAG boundary Scan Architecture. The proposed debugger is applicable for not a chip test but also a software debugging. Our debugger has an additional hardware module (EICEM : Embedded ICE Module) for more critical real-time debugging.

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CT 영상에서 폐 결절 분할을 위한 경계 및 역 어텐션 기법 (Boundary and Reverse Attention Module for Lung Nodule Segmentation in CT Images)

  • 황경연;지예원;윤학영;이상준
    • 대한임베디드공학회논문지
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    • 제17권5호
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    • pp.265-272
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    • 2022
  • As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model

  • Jia, Xibin;Qian, Chen;Yang, Zhenghan;Xu, Hui;Han, Xianjun;Ren, Hao;Wu, Xinru;Ma, Boyang;Yang, Dawei;Min, Hong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권1호
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    • pp.16-37
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    • 2022
  • Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively.

매설배관의 건전성 평가 시스템 개발 (Development of Assessment System for Pipeline Integrity)

  • 이억섭;윤해룡
    • 한국정밀공학회지
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    • 제20권8호
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    • pp.158-165
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    • 2003
  • The object of this work is to develop an assessment system for pipeline integrity. The internal algorithm and the database of the system are described in this paper. The system consists of four module applications; the effect of corrosion in pipeline, crack, SCC (stress corrosion cracking) and fatigue module. The database of the system is separated to mainly four parts; geometry of pipeline, material properties, boundary condition and general properties. This system may give a guideline for maintenance and modifications.

공학실무에서의 경계요소해석 소프트웨어 BEASY의 적용 (Application of The Boundary Element Analysis Software BEASY in Engineering Pratice)

  • 허영;조준상
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1994년도 가을 학술발표회 논문집
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    • pp.31-37
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    • 1994
  • BEASY is a soft-ware tool which may be used to solve problems in heat transfer(linear and non-linear, steady state and transient) and linear elastic stress analysis. It is based on the boundary element method. The central part is the analysis module, called BEASY. For pre- and post-processing the BEASY Interactive Modeling System BEASY-IMS can be used. Three examples are devoted to show the capability of BEASY.

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