• Title/Summary/Keyword: 캡모델

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A proposal of capstone design model for government, academic, and civil cooperative convergence education - A case study on the development of fashion products for the promotion of child rights - (관·학·민 협력 융복합 교육 캡스톤디자인 모델 제시 - 아동권리증진을 위한 패션제품개발 사례를 중심으로 -)

  • Cha, You Mi;Kim, In Kyung
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.1
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    • pp.131-148
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    • 2019
  • In this study, the purpose of the research is to present a cooperative convergence education Capstone design operational model that can promote community relations by spreading excellent practices through governmental, academic, and civil cooperation, ultimately contributing to the development of systematic plans among cooperative groups for successful promotion, and the production high effects in the fashion sector. The case study presented a new model that combines convergence in interdisciplinary studies, focusing on the case study of the "Fashion Capstone Design" textbook. The characteristics of the proposed model suggested three types of convergence- the convergence of government, academia and private cooperation, and the convergence of academic and civil organizations, depending on their role. The proposed educational model has the advantage of complementing and dealing with the difficulties presented by interdisciplinary education. It also has the effect of activating community linkages with colleges in the community. In addition, the effectiveness of community colleges and community links can be optimized. Through the example of this study, we look forward to being used as a references for a variety of cooperative convergence education capstone design projects.

A Study on the Identification of Electrical Eire -Focused on Distance Analysis of Electrical Wires by Overcurrent- (전기화재의 감식에 관한 연구 -과전류 사고시 전선의 이격거리 분석을 통하여-)

  • 이상호;김준식;오홍석
    • Fire Science and Engineering
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    • v.18 no.2
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    • pp.7-11
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    • 2004
  • In this paper, we have simulated the force between the two electrical wires using the finite element method(FEM) according to the value of current and distance when overcurrent flows in the vinyl-insulated vinyl-cabtyre cord(flat-type, 600 V, VCTFK, $2C{\times}1.25mm^2$). And we will present the basic data for the identification of electrical fire by experiment for maximum distance between the two wires according to current and time using large current supply device(Model : EHT_EFAD, Korea) in case of overcurrent.

Development Capstone Design Operation Model for Strategic Achievement (전략적 성과 창출을 위한 캡스톤디자인 운영모델 개발)

  • Choi, Kwang-hak;Kang, Jae-kwan
    • Journal of Engineering Education Research
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    • v.22 no.4
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    • pp.71-77
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    • 2019
  • Capstone design is a very important college course that enhances students' creativity and skills. However, in most universities, the operation of capstone design is operated by the experience and intuition of the advisor, and it is somewhat lacking in the generation of useful results such as patent rights and technology start-up from the capstone design result. In this study, we proposed a performance - based capstone design operation model through patent linkage so that the capstone design class can create creative and useful results. The proposed operating model includes support for research on prior art of patent information utilization, patent right of idea, and technology commercialization. The proposed operating model was directly applied to the capstone design class in the university, and it was confirmed that useful results such as expansion of the scope of the research achievement and technology start - up were created compared to the existing operation model.

Development of a Smart Blockchain-based Cryptocurrency Payment Service Application (스마트 블록체인 기반 암호화폐 결제 서비스 애플리케이션 개발)

  • Kang, Tae-Shin;Choi, Ji-Won;Lee, Tae-Gyu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.310-313
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    • 2021
  • 최근 다양한 산업분야에서 디지털 사용자 트랜잭션의 보안성 강화와 디지털 자산의 거래 비용 최소화를 동시에 실현하기 위해 블록체인 기술을 점진적으로 확대하고 있다. 특히 무인 자동화 시스템으로의 전환이라는 과도기적 상황과 코로나-19 대유행이 맞물려 비대면 시장에 대한 관심이 커졌고, 비대면 시장의 수익 극대화와 안정적인 비대면 서비스 실현을 위해 블록체인 시스템과의 결합이 초점화되고 있다. 본 캡스톤디자인 보고서는 블록체인 기반 암호화폐 결제 서비스 애플리케이션을 설계하고 구현하는 과정을 기술한다. 특히 새로운 알트코인으로 평택코인과 관련된 앱 생태계 구축 과정, 그리고 평택코인 결제 서비스 지원 애플리케이션을 개발을 통한 스마트 암호화폐 결제 애플리케이션의 서비스 초기 모델 구현 과정에 대해 기술한다.

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Effects of Electroacupuncture on Food Intake and mRNA Expressions of the Hypothalamic Cholecystokinin in Rats (전침이 흰쥐에서 먹이섭취와 시상하부의 콜레시스토키닌 mRNA 발현에 미치는 영향)

  • Woo, Hyun-Su;Kim, Yong-Snk;Kim, Chang-Hwan
    • Journal of Acupuncture Research
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    • v.24 no.2
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    • pp.101-112
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    • 2007
  • 목적 : CCK는 현재까지 가장 많이 연구된 식후의 포만신호 전달물질로, 음식섭취를 감소하고, 캡사이신 반응성의 미주신경에 의해 위장운동과 위내의 공복감을 억제시킨다 전침의 진통효과 발현기전에 영향을 미치는 항아편양 단백물질로서, 내인성 CCK와 그 수용체(CCK-A와 CCK-B)의 역할은 기존의 연구에서 이미 보고되어 왔다. 이에 착안하여, 본 연구에서는 포만감의 측면에서 전침자극이 내인성 CCK의 발현에 어떠한 영향을 미치는가를 살펴보고자 한다. 방법 : 48시간 절식 쥐 모델을 이용하여, 전침자극 후 30분과 60분 동안, 먹이 섭취량 변화를 측정하고, 먹이섭취량에 영향을 주는 신경전달경로에서 CCK가 관여하는지를 확인하기 위해 미주신경절제술을 시행한 쥐와 비교하였다. 한편 48시간 절식 쥐 모델을 대상으로하여 침자극 후 시상하부의 CCK mRNA 발현변화를 관찰하였다. 결과 : 전침군에서 30분과 60분 뒤의 먹이 섭취가 대조군에 비해 현저히 낮게 관찰되었는데, 포만감에 관련된 침의 이와 같은 효과는 CCK 수용체에 길항작용이 있는 lorglumide와 미주신경절제술에 의해 차단됨을 알 수 있었다. 시상하부의 CCK mRNA의 발현되는 대조군에 비하여 전침군에서 증가하는 경향이 관찰되었으나, 통계학적인 유의성은 확인 할 수 없었다. 결론 : 위의 결과에서, 전침은 포만감에 영향을 미치는 내인성 CCK 메카니즘을 활성화시키는 것을 알수 있었다.

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A Flexible Model-Based Face Region Detection Method (유연한 모델 기반의 얼굴 영역 검출 방법)

  • Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.5
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    • pp.251-256
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    • 2021
  • Unlike general cameras, a high-speed camera capable of capturing a large number of frames per second can enable the advancement of some image processing technologies that have been limited so far. This paper proposes a method of removing undesirable noise from an high-speed input color image, and then detecting a human face from the noise-free image. In this paper, noise pixels included in the ultrafast input image are first removed by applying a bidirectional filter. Then, using RetinaFace, a region representing the person's personal information is robustly detected from the image where noise was removed. The experimental results show that the described algorithm removes noise from the input image and then robustly detects a human face using the generated model. The model-based face-detection method presented in this paper is expected to be used as basic technology for many practical application fields related to image processing and pattern recognition, such as indoor and outdoor building monitoring, door opening and closing management, and mobile biometric authentication.

Seismic performance evaluation of Pier-Shafts system with multi-layered soil (다양한 지반층을 갖는 Pier-Shafts 시스템의 내진성능평가)

  • Jang, Sung-Hwan;Nam, Sang-Hyeok;Song, Ha-Won;Kim, Byung-Chul
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.04a
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    • pp.69-72
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    • 2008
  • The so-called Pier-Shafts system which consists of the continuous column and shaft is often used to support the highway bridge structure because of advantages in easy construction and low cost. In the earthquake region, the Pier-Shafts system undergoes large displacements and represents a nonlinear behavior under the lateral seismic loading. The soil-pile interaction should be considered for more accurate analysis of the Pier-Shafts system. In this study, a transverse response of a reinforced concrete Pier-Shafts system inside multi-layered soil medium is predicted using a finite element program which adopts an elasto-plastic interface model for the interface behavior between the shaft and the soil. Then, seismic analysis is performed to evaluate the performance of Pier-Shafts system under strong ground motion and their results are verified with experimental data.

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Harnessing Deep Learning for Abnormal Respiratory Sound Detection (이상 호흡음 탐지를 위한 딥러닝 활용)

  • Gyurin Byun;Huigyu Yang;Hyunseung Choo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.641-643
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    • 2023
  • Deep Learning(DL)을 사용한 호흡음의 자동 분석은 폐 질환의 조기 진단에 중추적인 역할을 한다. 그러나 현재의 DL 방법은 종종 호흡음의 공간적 및 시간적 특성을 분리하여 검사하기 때문에 한계가 있다. 본 연구는 컨볼루션 연산을 통해 공간적 특징을 캡처하고 시간 컨볼루션 네트워크를 사용하여 이러한 특징의 공간적-시간적 상관 관계를 활용하는 새로운 DL 프레임워크를 제한한다. 제안된 프레임워크는 앙상블 학습 접근법 내에 컨볼루션 네트워크를 통합하여 폐음 녹음에서 호흡 이상 및 질병을 검출하는 정확도를 크게 향상시킨다. 잘 알려진 ICBHI 2017 챌린지 데이터 세트에 대한 실험은 제안된 프레임워크가 호흡 이상 및 질병 검출을 위한 4-Class 작업에서 비교모델 성능보다 우수함을 보여준다. 특히 민감도와 특이도를 나타내는 점수 메트릭 측면에서 최대 45.91%와 14.1%의 개선이 이진 및 다중 클래스 호흡 이상 감지 작업에서 각각 보여준다. 이러한 결과는 기존 기술보다 우리 방법의 두드러진 이점을 강조하여 호흡기 의료 기술의 미래 혁신을 주도할 수 있는 잠재력을 보여준다.

Development of Deep Learning Based Ensemble Land Cover Segmentation Algorithm Using Drone Aerial Images (드론 항공영상을 이용한 딥러닝 기반 앙상블 토지 피복 분할 알고리즘 개발)

  • Hae-Gwang Park;Seung-Ki Baek;Seung Hyun Jeong
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.71-80
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    • 2024
  • In this study, a proposed ensemble learning technique aims to enhance the semantic segmentation performance of images captured by Unmanned Aerial Vehicles (UAVs). With the increasing use of UAVs in fields such as urban planning, there has been active development of techniques utilizing deep learning segmentation methods for land cover segmentation. The study suggests a method that utilizes prominent segmentation models, namely U-Net, DeepLabV3, and Fully Convolutional Network (FCN), to improve segmentation prediction performance. The proposed approach integrates training loss, validation accuracy, and class score of the three segmentation models to enhance overall prediction performance. The method was applied and evaluated on a land cover segmentation problem involving seven classes: buildings,roads, parking lots, fields, trees, empty spaces, and areas with unspecified labels, using images captured by UAVs. The performance of the ensemble model was evaluated by mean Intersection over Union (mIoU), and the results of comparing the proposed ensemble model with the three existing segmentation methods showed that mIoU performance was improved. Consequently, the study confirms that the proposed technique can enhance the performance of semantic segmentation models.

Behavior of Pile Groups in Granite Soil Under Lateral Loading (화강풍화토에서 수평력을 받는 무리말뚝의 거동)

  • Ahn, Kwangkuk;Ko, Pilhwan
    • Journal of the Korean GEO-environmental Society
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    • v.10 no.5
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    • pp.69-73
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    • 2009
  • In this study, three dimensional numerical analyses were performed with variation of pile spacing (S=3D, 4D, 5D) to compare the behaviour of single pile and pile group with cap in granite soil. In order to compare and analyze the lateral resistance of single pile and pile group by changing pile spacing, the pile group with array of $1{\times}3$ was employed. To reduce the computation time the symmetric boundary condition was used. And Druker-Prager model and elasticity model were used for granite soil and for concrete pile and cap, respectively. Using the analyses results of pile group in granite soil under lateral loading, p-y curve for pile group and single pile with changing pile spacing was drawn. With p-y curve p-multiplier was evaluated. As a result of analysis, the value of p-multiplier was increased with increasing pile spacing under 1.0 due to pile shadow effects.

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