• Title/Summary/Keyword: 인공조도

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Design of Artificial Neural Networks for Fuzzy Control System (퍼지제어 시스템을 위한 인공신경망 설계)

  • Jang, Mun-Seok;Jang, Deok-Cheol
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.5
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    • pp.626-633
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    • 1995
  • It is vary hard to identify the fuzzy rules and tune the membership functions of the fuzzy inference in fuzzy systems modeling, We propose a fuzzy neural network model which can automatically identify the fuzzy rules and tune the membership functions of fuzzy inference simultaneously using artificial neural networks, and modify backpropagation algorithm for improving the convergence. The proposed method is verified by the simulation for a robot manipulator.

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Information Processing by Retinal Cells for Artificial Retina (인공망막 구현을 위한 망막세포의 특성에 의한 정보처리)

  • Je, Sung-Kwan;Kim, Kwang-Baek;Cho, Jae-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.811-815
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    • 2005
  • 최근 선진 각국에서는 시각장애인을 위한 인공 망막 모델구현을 위한 연구가 매우 활발히 진행 중이다. 인공 망막의 여러 기법중 시각피질자극에 의한 방법은 망막손상과 시신경 손상 환자에게 적용할 수 있도록 시피질을 자극한다. 그러나 이 방법은 시각자극전달의 중간단계를 생략하고 직접 뇌세포를 자극하는 것이다. 따라서 본 논문에서는 시각피질자극방법에 기반하여 인간시각처리와 유사하게 영상의 압축방법을 부과함으로써 세포의 특성을 고려한 모델을 나타낸다. 실험 데이터로는 자동차 번호판 숫자들이며, 인식기는 SOM을 사용하였다. 실험결과, 제안된 인식모델과 일반적 인식모델과의 차이가 없음을 알 수 있었다.

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A Study on the Factors Influencing the Perceived Value of Artificial Intelligence Platform - Focusing on Drug Discovery Fields (인공지능 플랫폼의 지각된 가치에 영향을 미치는 요인 연구 - 신약 연구 분야를 중심으로)

  • Kim, Yeongdae;Lee, Won Suk;Kim, Ji-Young;Shin, Yongtae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.245-248
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    • 2021
  • 전통적인 신약개발은 평균 15년, 2~3조원의 비용이 소요되나 투자 대비 생산성이 지속적으로 감소하고 있어 패러다임 전환이 절실한 상황이다. 인공지능 기술을 활용하면 기간과 비용의 절감효과와 신약 후보물질 탐색의 성공확률이 높아질 것을 기대할 수 있다. 본 연구는 신약 연구 분야를 중심으로 인공지능 플랫폼 도입에 있어서 플랫폼의 가치에 영향을 미치는 요인들을 분석하여 수용 및 확산을 촉진하는데 필요한 시사점을 도출하고자 한다.

Implementation of perfume recommendation service using web crawling and image color extraction artificial intelligence (웹 크롤링과 이미지 색상 추출 인공지능을 이용한 향수 추천 서비스 구현)

  • Yu-jin Kim;Ye-lim Lee;Sung-Yoon Jung;Yu-jin Jo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.758-759
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    • 2023
  • 이 논문에서는 웹 크롤링과 인공지능의 색상 추출 기능을 사용하여 사용자에게 맞는 향수를 추천해주는 서비스를 구현한다. 웹 사이트 제작에 용이한 Java 와 웹 크롤링과 인공지능 구현에 용이한 Python 을 기반으로 구현하였다.

A Study on the Optimum Operating Condition of Acid Fermenter for the BNR Performance Improvement (BNR 효율개선을 위한 산 발효조 최적운전 조건에 관한 연구)

  • Kim, Hyo-Sang;Park, Jong-Woon;Seo, Jung-Won;Park, Chul-Hwi
    • Journal of Korean Society of Environmental Engineers
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    • v.22 no.3
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    • pp.587-595
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    • 2000
  • The most problems of domestic sewage for BNR(Biological Nutrients Removal) process are deficiency of carbon source and low C/N ratio. Primary sludge fermentation is seemed to be one of the best solutions producing biodegradable organic substrates. Soluble organic materials from sludge fermentation are mainly SCFAs(Short-Chain Fatty Acids) with 2~5 carbon atoms. In this research, it was attempted to apply $A_2/O$ process with the side-stream acid fermenter to improve the nutrients removal efficiency. The result showed that proper SCFAs production is about 3.000mg/L with SRT of 4~5 days. SCFAs yield of approximately 0.10~0.16 mg SCFAs(as COD) per mg of primary sludge(as COD) were achieved. The ratio of acetic. propionic. butyric and valerie acid were 1, 0.7, 0.5 and 0.6. Significant improvements of nutrients removal over 70% in BNR process were observed. thus will reduce the demand for chemical dosing to increase nutrients removal efficiency. When the fermentate was entered $A_2/O$ process, the ratio of phosphate release to substrate uptake amounts to $0.34gPO_4-Pg^{-1}COD$.

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Properties of artificial aggregates of coal bottom ash-dredged soil system added with waste glass (폐유리가 첨가된 석탄바닥재-준설토 계 인공골재의 특성)

  • Jo, Sinae;Kang, Seunggu
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.23 no.3
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    • pp.146-151
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    • 2013
  • In this study, the effect of addition of waste glassy slag produced from recycling of spent catalyst (denoted as waste glass hereafter) on the physical properties of artificial aggregates made of coal bottom ash and dredged soil (7 : 3 by weight base) was evaluated. Especially, the bloating behavior of artificial aggregates was analyzed by performing the relation study between the apparent density, water absorption and microstructure. The apparent density of artificial aggregates increased slightly with sintering temperature at $1050{\sim}1150^{\circ}C$, but decreased above $1150^{\circ}C$ showing bloating phenomenon. The bloating behavior of artificial aggregates was decreased so the apparent density increased with amount of waste glass added. Also, the water absorption of artificial aggregates decreased with sintering temperature. Above $1200^{\circ}C$, big fissure and much liquid were formed at the surface of artificial aggregates and these phenomena could be suppressed by increasing amount of waste glass added. The artificial aggregates fabricated in this study had an apparent density of 1.1~1.6 and water absorption of 8~22 % which meet KS requirements for the artificial lightweight aggregates.

Design of Stand-alone AI Processor for Embedded System (독립운용이 가능한 임베디드 인공지능 프로세서 설계)

  • Cho, Kwon Neung;Choi, Do Young;Jeong, Young Woo;Lee, Seung Eun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.600-602
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    • 2021
  • With the development of the mobile industry and growing interest in artificial intelligence (AI) technology, a lot of research for AI processors which applicable to embedded systems is under study. When implementing AI to embedded systems, the design should be considered the restriction of resource and power consumption. Moreover, it is efficient to include a dedicated hardware accelerator in order to complement the low computational performance of the embedded system. In this paper, we propose an stand-alone embedded AI processor. The proposed AI processor includes a hardware accelerator that is dedicated to the distance-based AI algorithm and a general-purpose MCU that supports flexible programmability for application to various embedded systems. The AI processor was designed with Verilog HDL and verified by implementing on Field Programmable Gate Array (FPGA).

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축구전용구장의 천연잔디면 자연광량 예측

  • 송규동
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.30 no.5
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    • pp.14-21
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    • 2001
  • 축구 전용구장이 가지는 여러 지붕구조의 특성에 따라 경기장 잔디면의 조도 및 자연광량을 몬테카를로 방법과 광선추적기법을 적용하여 개발된 컴퓨터 프로그램에 의해 예측하고, 설계안에 의해 부족한 잔디면의 자연광량을 보충할 수 있는 인공조명시설의 제작방법을 레디언스(Radiance) 프로그램을 이용한 시뮬레이션 결과로부터 도출하여 제시하였다.

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