• Title/Summary/Keyword: Fuzzy Division

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Classificatin of Normal and Abnormal Heart Sounds Using Neural Network (뉴럴네트워크를 이용한 심음의 정상 비정상 분류)

  • Yoon, Hee-jin
    • Journal of Convergence for Information Technology
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    • v.8 no.5
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    • pp.131-135
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    • 2018
  • The heart disease taking the second place of the cause of the death of modern people is a terrible disease that makes sudden death without noticing. To judge the aortic valve disease of heart diseases a name of disease was diagnosed using psychological data provided from physioNet. Aortic valve is a valve of the area that blood is spilled from left ventricle to aorta. Aortic stenosis of heart troubles is a disease when the valve does not open appropriately in contracting the left ventricle to aorta due to narrowed aortic valve. In this paper, 3126 samples of cardiac sound data were used as an experiment data composed of 180 characteristics including normal people and aortic valve stenosis patients. To diagnose normal and aortic valve stenosis patients, NEWFM was utilized. By using an average method of weight as an feature selection method of NEWFM, the result shows 91.0871% accuracy.

A Cost-Effective and Accurate COA Defuzzifier Without Multipliers and Dividers (승산기 및 제산기 없는 저비용 고정밀 COA 비퍼지화기)

  • 김대진;이한별;강대성
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.70-81
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    • 1998
  • This paper proposes an accurate and cost-effective COA defuzzifier of fuzzy logic controller (FLC). The accuracy of the proposed COA defuzzifier is obtained by involving both membership values and spans of membership functions in calculating a crisp value. The cost-effectiveness of the proposed COA defuzzifier is obtained by replacing the division in the COA defuzzifier by finding an equilibrium point of both the left and right moments. The proposed COA defuzzifier has two disadvantages that it ncreases the hardware complexity due to the additional multipliers and it takes a lot of computation time to find the moment equilibrium point. The first disadvantage is overcome by replacing the multipliers with the stochastic AND operations. The second disadvantage is alleviated by using a coarse-to-fine searching algorithm that accelerates the finding of moment equilibrium point. Application of the proposed COA defuzzifier to the truck backer-upper control problem is performed in the VHDL simulation and the control accuracy of the proposed COA defuzzifier is compared with that of the conventional COA defuzzifier in terms of average tracing distance.

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Control Performance Evaluation of Smart Mid-story Isolation System with RNN Model (RNN 모델을 이용한 스마트 중간층 면진시스템의 제어성능 평가)

  • Kim, Hyun-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.774-779
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    • 2020
  • The seismic response reduction capacity of a smart mid-story isolation system was investigated using the RNN model in this study. For this purpose, an RNN model was developed to make a dynamic response prediction of building structures subjected to seismic loads. An existing tall building with a mid-story isolation system was selected as an example structure for realistic research. A smart mid-story isolation system was comprised of an MR damper instead of existing lead dampers. The RNN model predicted the seismic responses accurately compared to those of the FEM model. The simulation time of the RNN model can be reduced significantly compared to the FEM model. After the numerical simulations, the smart mid-story isolation system could effectively reduce the seismic responses of the existing building compared to the conventional mid-story isolation system.

Study on a Navigated Simulator of the Underwater Cleaning Robot (수중청소로봇의 운항 제어용 시뮬레이터 연구)

  • Choi, Hyeung-Sik;Kang, Jin-Il;Hong, Sung-Yul;Park, Han-Il;Seo, Joo-No;Kim, Moon-Hwan;Gwon, Kyeong-Yeop
    • Journal of Navigation and Port Research
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    • v.33 no.6
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    • pp.387-393
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    • 2009
  • In this paper, a 3-D simulator was developed to estimate visually the performance of propelling and integrated control system of the underwater cleaning robot. Based on the dynamics analysis of the UCR, the 3-D model of the UCR was used in the simulator in which position and velocity are included Also, an input and control system using a joystick was developed, and the simulator was applied to the input and control of the simulator. Moreover, an integrated navigation control system was designed, and its performance was validated by a way-point simulator including a PI-based fuzzy control law.

A Study on the Analysis of the Level of ITs Performance in Major Container Terminals (주요 컨테이너 터미널의 정보화 수준 분석에 관한 연구)

  • Ryu, Hyung-Geun;Lee, Hong-Girl;Lee, Cheol-Yeong
    • Journal of Navigation and Port Research
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    • v.32 no.3
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    • pp.199-205
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    • 2008
  • Currently, ITs(Information Technologies} performances have been recognized as an essential tool for terminal operations. However, there have been little research that analyze level of ITs performance on port operation. Thus, the aim of this research is to analyze current level of ITs performance of major container terminals in Busan and Gwangyang. To achieve this objective, we developed HFP-based index that improve pervious indicator for evaluation of ITs performance. And then, level of ITs performance of four major container terminals were measured by the collected data through face to face interviews. Finally, through this analysis, some findings including weaknesses of ITs performance and implications were discussed.

Study On development of Intelligent spot weld machine (지능형 스폿 용접기 개발에 관한 연구)

  • Lee, Hui-Jun;Rhee, Se-Hun
    • Proceedings of the KWS Conference
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    • 2009.11a
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    • pp.20-20
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    • 2009
  • 저항 점 용접은 1930년대에 Thomson에 의해 방법이 제안된 이후로 자동차, 전자, 항공기, 철도산업등에서 박판 금속(sheet metal)의 접합에 가장 널리 사용되고 있는 공정이다. 특히 자동차 차체와 같이 대부분 박판으로 구성되는 구조물에서는 저항 점 용접의 사용 범위가 매우 넓기 때문에 자동차 산업에서는 가장 기본적인 근본 기술 중의 하나로 인식되고 있다. 보통 자동차 한대를 생산하는데 소요되는 저항 점 용접 타점은 3000~4000개 정도로 자동차 차체 용접 공정의 대부분을 차지하고 있다. 또한 로봇과 연동된 자동화 공정으로 적용되고 있다. 최근의 자동차 차체를 구성하는 금속 재료가 자동차의 경량화, 친화경 소재의 사용자의 요구로 인해 새로운 강판이 사용된다. 자동차의 연비 향상을 위해서 다른 방법보다 자동차의 무게를 감소시키는 것이 가장 효율적이고, 쉽기 때문에 고장력 강판의 사용이 급속하게 증가하고 있다. 뿐만 아니라 차제의 부식성, 내마모성 향상을 위해 도금 처리된 강판의 사용도 활발하게 이루어지고 있다. 최근에 도장 공정 감소를 위해 도금 처리위에 도료 착색을 용이하게 하는 도료의 일부를 금속 표면에 처리된 강판의 개발도 진행되는 등 금속 소재의 변화가 다양하게 진행되고 있다. 이러한 새로운 강종은 기존의 AC 용접이나 DC 용접으로는 용접성 확보에 어려움을 가지고 있어, 새로운 저항 점 용접 공정의 연구 개발이 필요하다. 본 연구에서는 저항 점 용접 공정의 개선을 위해서 인버터 저항 점 용접기에서 용접 공정 중 전류를 제어하기 위한 효율적인 제어기 개발 방법과 개발된 제어기를 바탕으로 용접 중에 용접부의 품질을 예측하여, 용접 전류 및 가압력을 실시간 제어하여 안정적인 용접부의 품질을 갖질 수 있는 지능형 저항 점 용접기의 적응 제어기를 개발하는데 있다.

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Adaptive prototype generating technique for improving performance of a p-Snake (p-Snake의 성능 향상을 위한 적응 원형 생성 기법)

  • Oh, Seung-Taek;Jun, Byung-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.4
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    • pp.2757-2763
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    • 2015
  • p-Snake is an energy minimizing algorithm that applies an additional prototype energy to the existing Active Contour Model and is used to extract the contour line in the area where the edge information is unclear. In this paper suggested the creation of a prototype energy field that applies a variable prototype expressed as a combination of circle and straight line primitives, and a fudge function, to improve p-Snake's contour extraction performance. The prototype was defined based on the parts codes entered and the appropriate initial contour was extracted in each primitive zones acquired from the pre-processing process. Then, the primitives variably adjusted to create the prototype and the contour probability based on the distance to the prototype was calculated through the fuzzy function to create the prototype energy field. This was applied to p-Snake to extract the contour from 100 images acquired from various small parts and compared its similarity with the prototype to find that p-Snake made with the adaptive prototype was about 4.6% more precise than the existing Snake method.

Development of Fairness Evaluation Index for the Construction Industry (건설산업의 공정성 평가지수 개발)

  • Lee, Chijoo
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.1
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    • pp.16-27
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    • 2022
  • This study analyzed both the legal system regarding fair trade and the types of unfair trade in the construction industry. Then, it derived the factors with which to evaluate the level of fairness. These factors were classified by each type of participant in the construction industry, such as general contractors and subcontractors, and each construction stage, such as bidding, contracting, and construction. The perceived fairness level of factors was analyzed using a survey of 238 employees of general contractors and subcontractors. Next, the study developed a fairness index for the construction industry. The index showed that subcontractors perceived the level of fairness more negatively than general contractors, but both perceived the construction stage of the industry as having the lowest level of fairness. General contractors perceived the bidding and contracting stages as having the highest fairness levels, and subcontractors perceived the contracting stage as having the highest level of fairness. The developed fairness index identified the evaluation factors that need improvement and the fairness level perceived by each type of participant at each stage of construction. The results of this study can contribute to establishing measures that improve the level of fairness in the construction industry.

Analysis of the financial products for supporting financing of small and medium-sized construction companies (중소건설기업의 자금조달 지원을 위한 금융상품 분석)

  • Lee, Chijoo
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.4
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    • pp.36-46
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    • 2022
  • It takes a relatively long time for construction companies that lack the ability to finance to adapt to construction policy in the construction industry. However, financial institutions rarely provide financial products to construction companies, particularly small and medium-sized construction companies, because their security capacity and credit rating are low. This study investigates the financial products needed for small and medium construction companies to adapt to policy changes. The demand of small and medium construction companies for financial products is analyzed by experts' advise and survey. And, when the investigated financial products for the construction industry are introduced, the legal systems in need of revision are analyzed. Based on the analyzed demand and the number of legal systems needing revision, the priority for the introduction of financial products to the construction industry is analyzed. Among the financial products investigated, the priority of "Expert consultation, such as accountant, tax accountant, lawyer, etc." is the highest. In future studies, the criteria and method of financial product development for high-priority financial products could be researched.

Accuracy Evaluation of Composite Hybrid Surface Rainfall (HSR) Using KMA Weather Radar Network (기상청 기상레이더 관측망을 이용한 합성 하이브리드 고도면 강우량(HSR)의 정확도 검증)

  • Lyu, Geunsu;Jung, Sung-Hwa;Oh, Young-a;Park, Hong-Mok;Lee, GyuWon
    • Journal of the Korean earth science society
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    • v.38 no.7
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    • pp.496-510
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    • 2017
  • This study presents a new nationwide quantitative precipitation estimation (QPE) based on the hybrid surface rainfall (HSR) technique using the weather radar network of Korea Meteorological Administration (KMA). This new nationwide HSR is characterized by the synthesis of reflectivity at the hybrid surface that is not affected by ground clutter, beam blockage, non-meteorological echoes, and bright band. The nationwide HSR is classified into static (STATIC) and dynamic HSR (DYNAMIC) mosaic depending on employing a quality control process, which is based on the fuzzy logic approach for single-polarization radar and the spatial texture technique for dual-polarization radar. The STATIC and DYNAMIC were evaluated by comparing with official and operational radar rainfall mosaic (MOSAIC) of KMA for 10 rainfall events from May to October 2014. The correlation coefficients within the block region of STATIC, DYNAMIC and MOSAIC are 0.52, 0.78, and 0.69, respectively, and their mean relative errors are 34.08, 30.08, and 40.71%.