• 제목/요약/키워드: intelligent connection

검색결과 254건 처리시간 0.019초

Nested U-Net 기반 잡음 제거를 위한 two-level skip connection 제안 및 성능 비교 평가 (Performance comparative evaluation of Two-level skip connection for nested U-Net-based noise cancellation)

  • 황서림;변준;허준영;차재빈;박영철
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 하계학술대회
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    • pp.228-230
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    • 2022
  • 본 논문은 최근 잡음 제거에서 우수한 성능을 보인 Nested U-Net의 성능을 최적화하기 위하여 두 단계로 이루어진 two-level skip connection (TLS)을 제안하였다. 이때, 인코더와 디코더의 경로를 다르게 하여 다양한 형태의 TLS을 제안하고 각 형태의 성능을 비교 평가하였다. 또한, 가장 좋은 성능을 보인 두 개의 경로를 조합하여 최종 Nested U-Net 기반 모델을 제안하였다. 제안된 모델은 다른 잡음 제거 모델과 비교하여 객관적인 평가 지표에서 매우 우수한 성능을 보인다.

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Sparse Reconfigurable Adaptive Filter with an Upgraded Connection Constraint Algorithm

  • Chang, Hong;Hwang, Suk-Seung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권4호
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    • pp.305-309
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    • 2011
  • A sparse reconfigurable adaptive filter (SRAF) based on a photonic switch determines the appropriate time delays and weight values for an optical switch implementation of tapped-delay-line (TDL) systems. It is well known that the choice of switch delays is significantly important for efficiently implementing the SRAF. If the same values exist as calculating the sum of weight magnitudes for implementing the connection constraint required by the SRAF, conventional connection algorithm based on sequentially selection the maximum elements might not work perfectly. In an effort to increase the effectiveness of system identification, an upgraded connection algorithm used progressive calculation to obtain the better solution is considered in this paper. The performance of the proposed connection constraint algorithm is illustrated by computer simulation for a system identification application.

화재 예방을 위한 태양광 접속반의 지능형 진단 시스템 (Intelligent Diagnostic System of Photovoltaic Connection Module for Fire Prevention)

  • 안재현;양오
    • 반도체디스플레이기술학회지
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    • 제20권3호
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    • pp.161-166
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    • 2021
  • To prevent accidents caused by changes in the surrounding environment or other factors, various protection facilities are installed at the photovoltaic connection module. The main causes of fire are sparks due to foreign substances inside the photovoltaic connection module through high temperature rise and dew condensation in the photovoltaic connection module, and fire due to heat from the power diode. The proposed method can predict the fire by measuring flame, carbon dioxide, carbon monoxide, temperature, humidity, input voltage, and current on the photovoltaic connection module, and when the fire conditions are reached, fire alarm and power off can be sent to managers and users in real time to prevent fire in advance.

A Study on Intelligent Edge Computing Network Technology for Road Danger Context Aware and Notification

  • Oh, Am-Suk
    • Journal of information and communication convergence engineering
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    • 제18권3호
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    • pp.183-187
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    • 2020
  • The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

교통정보센터 간 정보 연계체계 개선방안 (Improvement of Information Connection System among Traffic Information Centers)

  • 임성한
    • 한국ITS학회 논문지
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    • 제13권2호
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    • pp.34-41
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    • 2014
  • 본 연구의 목적은 신뢰성 높은 교통정보 서비스를 위하여 교통정보센터 간 정보 연계체계 개선방안을 도출하는 것이다. 교통정보 연계체계의 문제점으로 교통정보센터 간 연계시간 과다 소요로 인한 오차 발생, 정보 생성시각 및 생성주체에 관한 정보 부재 등으로 인한 정보의 신뢰도 부족, 정보 연계 관리체계 미비 등의 문제점을 인식하였다. 교통정보 연계체계 개선방안으로 연계시간 최소화, 정보의 신뢰성 향상 및 연계 관리체계 구축방안을 제시하였다.

WWW을 이용한 에이전트 기반 공동 설계 환경 개발 (Agent-based Collaborative Design Environment using WWW)

  • 안상준;이수홍
    • 한국CDE학회논문집
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    • 제3권1호
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    • pp.31-39
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    • 1998
  • This paper deals with a development of the system that implements a collaborative design environment with some intelligent agents on the m. Intelligent agents can design collaboratively trough an interchange of messages in their special domains. Such a collaborative design of agents is achieved on the WWW. In this paper, we propose special agents named intercessor and DCM (Dynamic Connection Manager) and suggest new connection architecture using these agents in the WWW in order to improve the pre-existed agent connection architecture. The proposed agents are developed using Java language and JATLite API. We apply the these agents to the new architecture and show some possibilities that the agent connection architecture can be extended in the WWW Agents interchange messages with others using KOML (Knowledge Query and Manipulation Language), agent communication protocol and language, and deal with message autonomously according to their rule base. Agents register and connect dynamically trough the intercessor agent, and infer from their.

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Improvement of Three Mixture Fragrance Recognition using Fuzzy Similarity based Self-Organized Network Inspired by Immune Algorithm

  • Widyanto, M.R.;Kusumoputro, B.;Nobuhara, H.;Kawamoto, K.;Yoshida, S.;Hirota, K.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.419-422
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    • 2003
  • To improve the recognition accuracy of a developed artificial odor discrimination system for three mixture fragrance recognition, Fuzzy Similarity based Self-Organized Network inspired by Immune Algorithm (F-SONIA) is proposed. Minimum, average, and maximum values of fragrance data acquisitions are used to form triangular fuzzy numbers. Then the fuzzy similarity treasure is used to define the relationship between fragrance inputs and connection strengths of hidden units. The fuzzy similarity is defined as the maximum value of the intersection region between triangular fuzzy set of input vectors and the connection strengths of hidden units. In experiments, performances of the proposed method is compared with the conventional Self-Organized Network inspired by Immune Algorithm (SONIA), and the Fuzzy Learning Vector Quantization (FLVQ). Experiments show that F-SONIA improves recognition accuracy of SONIA by 3-9%. Comparing to the previously developed artificial odor discrimination system that used FLVQ as pattern classifier, the recognition accuracy is increased by 14-25%.

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Voting Analysis in Political Science

  • Kim, Chang-Bum
    • 한국지능시스템학회논문지
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    • 제19권4호
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    • pp.592-594
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    • 2009
  • In this paper we consider voting analysis in the political science in connection with $B_n$(or $M_n${0, 1}), the semigroup of the binary relations on X with n elements. We also consider it in connection with $M_n$(F) (or $B_n$(F)), the semigroup of all fuzzy binary relations on X. Also we establish a possibility theorem and an impossibility theorem in voting analysis based on preferences in $B_n$ and $M_n$(F).

Notes on Fuzzy Equivalence Relations

  • 이길섭;성열욱
    • 한국지능시스템학회논문지
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    • 제7권2호
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    • pp.106-109
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    • 1997
  • In this paper we define the t-fuzzy equivalence relation on a set and we prove some properties in connection with t-fuzzy relations.

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