• Title/Summary/Keyword: visual module

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전국 기후변화 영향평가를 위한 분포형 수문분석 툴 개발 (Development of Distributed Hydrological Analysis Tool for Future Climate Change Impacts Assessment of South Korea)

  • 김성준;김상호;조형경;안소라
    • 한국농공학회논문집
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    • 제57권2호
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    • pp.15-26
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    • 2015
  • The purpose of this paper is to develop a software tool, PGA-CC (Projection of hydrology via Grid-based Assessment for Climate Change) to evaluate the present hydrologic cycle and the future watershed hydrology by climate change. PGA-CC is composed of grid-based input data pre-processing module, hydrologic cycle calculation module, output analysis module, and output data post-processing module. The grid-based hydrological model was coded by Fortran and compiled using Compaq Fortran 6.6c, and the Graphic User Interface was developed by using Visual C#. Other most elements viz. Table and Graph, and GIS functions were implemented by MapWindow. The applicability of PGA-CC was tested by assessing the future hydrology of South Korea by HadCM3 SRES B1 and A2 climate change scenarios. For the whole country, the tool successfully assessed the future hydrological components including input data and evapotranspiration, soil moisture, surface runoff, lateral flow, base flow etc. From the spatial outputs, we could understand the hydrological changes both seasonally and regionally.

초고온 진공로 통합설계 최적화 소프트웨어 개발 (Development of Integrated Design and Optimization Software for the High Temperature Furnace Design)

  • 김우현;이재우;변영환
    • 시스템엔지니어링학술지
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    • 제1권1호
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    • pp.14-19
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    • 2005
  • High temperature vacuum furnaces or high standard electric furnaces demand high technology level and high production cost. Therefore, an iterative design process and the optimization approach under integrated computing environment are required to reduce the development risk. Moreover, it also required to develop an integrated design software that can manage the centralized database system between factory and design department, and the automated furnace design and analysis. The developed software is dedicated to the development of the vacuum (electric) furnaces. Based on the distribute middleware system, the GUI module, the CAD module, the thermal analysis module and the optimization module are integrated. For the DBMS, Microsoft Access is employed, the GUI is developed using Visual Basic language, and AutoCAD is utilized for the configuration design. By investigating the analysis code interface, the analysis and optimization process, and the data communication method, the overall system architecture, the method to integrate the optimizer and ana lysis codes, and the method to manage the data flow are proposed and verified through the optimal furnace design.

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건강진단을 위한 U 케어시스템 구현 (An Implementation of U Care System for Health Diagnosis)

  • 홍진근
    • 한국산학기술학회논문지
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    • 제7권6호
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    • pp.1200-1205
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    • 2006
  • 본 논문에서는 개인 건강관리를 위한 케어 시스템을 설계하고 구현된 내용이 기술되었다. 설계된 핸드헬드케어 시스템은 802.11 무선 망 환경에서 embedded VC++4.0, PocketPC2003 SDK로 구현되었으며, 구현된 시스템이 케어 관리 정보의 수집을 위한 U 헬쓰 케어 시스템의 연구에 충분한 유용성을 가진다고 생각한다. 제안된 시스템은 건강 진단을 위한 케어 관리모듈, 개인 인적 사항 모듈, 데이터 전송 모듈, 클리닉을 위한 영상 정보 관리 모듈 등으로 구성되어 있다. 또한 응급 시 의료 정보 전송기능은 무선랜 프로토콜 방식과 시리얼 통신을 이용하여 구현되었다.

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GAN-Based Local Lightness-Aware Enhancement Network for Underexposed Images

  • Chen, Yong;Huang, Meiyong;Liu, Huanlin;Zhang, Jinliang;Shao, Kaixin
    • Journal of Information Processing Systems
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    • 제18권4호
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    • pp.575-586
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    • 2022
  • Uneven light in real-world causes visual degradation for underexposed regions. For these regions, insufficient consideration during enhancement procedure will result in over-/under-exposure, loss of details and color distortion. Confronting such challenges, an unsupervised low-light image enhancement network is proposed in this paper based on the guidance of the unpaired low-/normal-light images. The key components in our network include super-resolution module (SRM), a GAN-based low-light image enhancement network (LLIEN), and denoising-scaling module (DSM). The SRM improves the resolution of the low-light input images before illumination enhancement. Such design philosophy improves the effectiveness of texture details preservation by operating in high-resolution space. Subsequently, local lightness attention module in LLIEN effectively distinguishes unevenly illuminated areas and puts emphasis on low-light areas, ensuring the spatial consistency of illumination for locally underexposed images. Then, multiple discriminators, i.e., global discriminator, local region discriminator, and color discriminator performs assessment from different perspectives to avoid over-/under-exposure and color distortion, which guides the network to generate images that in line with human aesthetic perception. Finally, the DSM performs noise removal and obtains high-quality enhanced images. Both qualitative and quantitative experiments demonstrate that our approach achieves favorable results, which indicates its superior capacity on illumination and texture details restoration.

Integrating a Machine Learning-based Space Classification Model with an Automated Interior Finishing System in BIM Models

  • Ha, Daemok;Yu, Youngsu;Choi, Jiwon;Kim, Sihyun;Koo, Bonsang
    • 한국건설관리학회논문집
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    • 제24권4호
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    • pp.60-73
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    • 2023
  • The need for adopting automation technologies to improve inefficiencies in interior finishing modeling work is increasing during the Building Information Modeling (BIM) design stage. As a result, the use of visual programming languages (VPL) for practical applications is growing. However, undefined or incorrect space designations in BIM models can hinder the development of automated finishing modeling processes, resulting in erroneous corrections and rework. To address this challenge, this study first developed a rule-based automated interior finishing detailing module for floors, walls, and ceilings. In addition, an automated space integrity checking module with 86.69% ACC using the Multi-Layer Perceptron (MLP) model was developed. These modules were integrated into a design automation module for interior finishing, which was then verified for practical utility. The results showed that the automation module reduced the time required for modeling and integrity checking by 97.6% compared to manual work, confirming its utility in assisting BIM model development for interior finishing works.

창의력 증진을 위한 놀이 및 교육용 모듈러 로봇 개발 (Modular Robot for Promoting Creativity Development in Play and Education)

  • 최준식;이보희;김진걸
    • 전기전자학회논문지
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    • 제18권4호
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    • pp.572-580
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    • 2014
  • 본 연구에서는 교육 및 놀이를 통해 창의력 증진이 가능한 재구성 모듈러 로봇에 대하여 다루고 있다. 보통 모듈러 로봇은 각각 셀들의 조합으로 변형 재구성하고 다양한 형태의 구조를 만드는데 적합한 로봇으로 설계되어 있지만 이를 이용하여 교육과 놀이를 주제로 한 연구는 국외에 소수 있으며 국내에는 전무하다. 제안하는 형태는 기존 모듈러 로봇과 같이 같은 동작만 반복하는 모듈이 아니라 소리를 내는 소리모듈, 바퀴가 달린 바퀴모듈, 시각적 표현을 위한 LED모듈, 전원공급을 위한 전원모듈, 통신을 위한 블루투스모듈, 움직이는 동작을 구현 가능하도록 하는 관절모듈이 있는 구조로 설계되어 있다. 이와 같은 다른 능력이 부여된 각 모듈의 다양한 결합을 이용하여 창의적 활동이 가능하도록 하고, 아이들이 쉽게 사용 할 수 있도록 한다. 본 연구에서는 모듈별 각기 다른 능력을 부여하여 교육과 놀이가 가능하도록 하는 방식의 모듈러 로봇의 설계 및 동작을 다루고 있다. 그리고 연구된 동작은 실제 제작 및 실험을 통해 동작의 유용성을 보였다.

상향식 주의 모듈을 사용한 디지털 워터마킹 기법 (A Digital Image Watermarking Using A Bottom-up Attention Module)

  • 최경주
    • 정보처리학회논문지B
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    • 제15B권4호
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    • pp.293-300
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    • 2008
  • 본 논문에서는 상향식 방식의 주의모듈을 사용하여 얻어지는 의미론적으로 중요한 영역에 워터마킹을 삽입하는 새로운 방법을 제안한다. 본 논문에서는 저작물을 공격하는 제3자가 영상 전체 정보가 아닌 몇몇 영역 및 물체에 관심을 가지고 있다는 사실에 착안하여 의미론적으로 중요하다고 생각되는 영역에 워터마크 정보를 삽입한다. 이는 전통적인 워터마킹 방법이 영상의 전체 영역에 걸쳐 워터마크를 삽입하는 것과는 다른 접근방법이다. 워터마크가 삽입되는 관심영역은 인간의 상향식 방식의 시각적 주의에 기반하여 모델링 된 주의모듈을 통해 얻는다. 본 논문을 통해 제안되는 워터마크 기법은 워터마크가 전체 영상이 아닌 몇몇 주요영역에 삽입되므로 중요부분이 공격당하기 어렵게 되며, 워터마크를 확인하여 소유권자를 구분할 때에도 워터마크가 관심영역 안에 있기 때문에 삽입된 워터마크의 탐지율이 높아진다. 실험결과를 통해 제안하는 방법의 효용성을 확인하였다.

Multi-level Cross-attention Siamese Network For Visual Object Tracking

  • Zhang, Jianwei;Wang, Jingchao;Zhang, Huanlong;Miao, Mengen;Cai, Zengyu;Chen, Fuguo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권12호
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    • pp.3976-3990
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    • 2022
  • Currently, cross-attention is widely used in Siamese trackers to replace traditional correlation operations for feature fusion between template and search region. The former can establish a similar relationship between the target and the search region better than the latter for robust visual object tracking. But existing trackers using cross-attention only focus on rich semantic information of high-level features, while ignoring the appearance information contained in low-level features, which makes trackers vulnerable to interference from similar objects. In this paper, we propose a Multi-level Cross-attention Siamese network(MCSiam) to aggregate the semantic information and appearance information at the same time. Specifically, a multi-level cross-attention module is designed to fuse the multi-layer features extracted from the backbone, which integrate different levels of the template and search region features, so that the rich appearance information and semantic information can be used to carry out the tracking task simultaneously. In addition, before cross-attention, a target-aware module is introduced to enhance the target feature and alleviate interference, which makes the multi-level cross-attention module more efficient to fuse the information of the target and the search region. We test the MCSiam on four tracking benchmarks and the result show that the proposed tracker achieves comparable performance to the state-of-the-art trackers.

Generating Radiology Reports via Multi-feature Optimization Transformer

  • Rui Wang;Rong Hua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2768-2787
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    • 2023
  • As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

스마트 디바이스 기반의 멀티 플랫폼 아케이드 게임 개발 (Development of multi arcade game platform applying smart devices)

  • 윤창옥;김준홍;주우석;윤태수
    • 한국게임학회 논문지
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    • 제15권5호
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    • pp.119-130
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    • 2015
  • 최근 게임 산업은 시대별 핵심 플랫폼의 등장과 함께 패러다임 변화가 이루어져왔다. 아케이드, 콘솔, PC온라인, 스마트 디바이스 플랫폼들이 대표적이다. 최근에는 스마트 디바이스와 다른 플랫폼의 연동되는 멀티 플랫폼 형태로 확장 변모하고 있고, 탈 PC화로 멀티 플랫폼 게임들이 나오고 있는 추세이다. 본 논문에서는 아케이드 게임의 연속성이 부족한 점을 인지하여 기존 아케이드 디바이스에 스마트 디바이스를 연동한 멀티 플랫폼 아케이드 게임을 제안한다. 기존 아케이드 게임에 온라인 형태의 네트워크 환경을 제공하여 스마트 디바이스와 연동을 통한 첨단 아케이드 게임 환경을 제공한다. 이러한 환경을 제공함으로써 단순한 1차적이고 연속성이 부족한 1회성 아케이드 게임을 스마트 디바이스와 연동함으로써 게임의 연속성을 높이고 사용자의 집중도를 높일 수 있다. 또한 멀티 플랫폼의 연동을 위해 블루투스 통신모듈과 무선 Wi-Fi 통신모듈을 사용함으로써 통신환경에 맞게 적용이 가능하며, Unity3D엔진을 사용함으로써 콘텐츠의 확정성이 가능하다.