• 제목/요약/키워드: Pass Network

검색결과 313건 처리시간 0.03초

신경회로망 알고리즘과 ATmega128칩을 활용한 자동차용 지능형 AQS 시스템 (Intelligent AQS System with Artificial Neural Network Algorithm and ATmega128 Chip in Automobile)

  • 정완영;이승철
    • 제어로봇시스템학회논문지
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    • 제12권6호
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    • pp.539-546
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    • 2006
  • The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. The sensor module which includes two independent sensing elements for responding to diesel and gasoline exhaust gases, and temperature sensor and humidity sensor was designed for intelligent AQS in automobile. With this sensor module, AVR microcontroller was designed with back propagation neural network to a powerful gas/vapor pattern recognition when the motor vehicles pass a pollution area. Momentum back propagation algorithm was used in this study instead of normal backpropagation to reduce the teaming time of neural network. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation in this study. One chip microcontroller, ATmega 128L(ATmega Ltd., USA) was used for the control and display. And our developed system can intelligently reduce the malfunction of AQS from the dampness of air or dense fog with the backpropagation neural network and the input sensor module with four sensing elements such as reducing gas sensing element, oxidizing gas sensing element, temperature sensing element and humidity sensing element.

Low Power Time Synchronization for Wireless Sensor Networks Using Density-Driven Scheduling

  • Lim, HoChul;Kim, HyungWon
    • Journal of information and communication convergence engineering
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    • 제16권2호
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    • pp.84-92
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    • 2018
  • For large wireless sensor networks running on battery power, the time synchronization of all sensor nodes is becoming a crucial task for waking up sensor nodes with exact timing and controlling transmission and reception timing. However, as network size increases, this synchronization process tends to require long processing time consume significant power. Furthermore, a naïve synchronization scheduler may leave some nodes unsynchronized. This paper proposes a power-efficient scheduling algorithm for time synchronization utilizing the notion of density, which is defined by the number of neighboring nodes within wireless range. The proposed scheduling algorithm elects a sequence of minimal reference nodes that can complete the synchronization with the smallest possible number of hops and lowest possible power consumption. Additionally, it ensures coverage of all sensor nodes utilizing a two-pass synchronization scheduling process. We implemented the proposed synchronization algorithm in a network simulator. Extensive simulation results demonstrate that the proposed algorithm can reduce the power consumption required for the periodic synchronization process by up to 40% for large sensor networks compared to a simplistic multi-hop synchronization method.

Set-Up model for the silicon steel cold rolling mill

  • Kim, Sang-Kyun;Won, Sang-Chul
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1323-1326
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    • 2003
  • In this paper, we propose set-up model of silicon steel cold rolling mill. Until now, the working of Silicon Steel is operated using the look-up table value of roll force which a field operator finds by making good use of his experience. Therefore, the standardization of data and an improvement of the quality on product are very difficult. So we establish neural model using field data of various kinds of coil at each pass.

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뉴로-퍼지 모델을 이용한 원격로보트의 컴플라이언스 제어 (Compliance control of a telerobot system using a neuro-fuzzy model)

  • 차동혁;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.805-810
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    • 1993
  • In this paper, we propose a compliance control scheme using a neurofuzzzy compliance model(NFCM). as a new control paradigm for telerobot systems. A NFCM, used as a compliance controller, is composed of a fuzzy compliance model(FCM), a neural network and a low pass filter. The NFCM is trained through a reinforcement learning algorithm, and then, can generate suitable compliant motion for a given task. A series of simulations have been performed to show applicability of the proposed algorithm send it is found that the NFCM can implement suitable compliant motion for a given task through the learning procedure.

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해법의 가지가지

  • 이면영
    • 전기의세계
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    • 제11권
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    • pp.49-54
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    • 1963
  • 저항과 용량을 접속한 사단자망(Two-terminal pair netowrk)을 RC 저역노파기(Low-pass filter)라고 통칭하지만 그 응용면에 따라 여러가지로 사용할 것이다. 예컨데 잡음위(Noise level)의 감소를 목적으로 증폭기단간에 압입하는 경우도 있을 것이고, 또 자동제어장치로서 누상보상요소(lag compensation network)로 사용할 수도 있을 것이다. 요컨대 여기서는 그 사용면을 따지는 것보다도 가령 입력신호(Input signal) x(t)가 일정한 진폭을 가진 계단함수(Step function), i.e.x(t)=Eu(t)를 이 노파기에 인가할 때 출력신호(Output signal) y(t)의 결과를 따져보자는 것이다. 물론 이용면의 요구여부에 따라 또 해석자의 지식척도에 따라 여러갈레의 해법이 나올 것이다. 그러므로 이 회로의 해석법을 아는데로 사례해보기로 한다.

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대규모 광학적 구현을 위한 TAG 신경회로망 모델 (TAG neural network model for large-sized optical implementation)

  • 이혁재
    • 한국광학회:학술대회논문집
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    • 한국광학회 1991년도 제6회 파동 및 레이저 학술발표회 Prodeedings of 6th Conference on Waves and Lasers
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    • pp.35-40
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    • 1991
  • In this paper, a new adaptive learning algorithm, Training by Adaptive Gain (TAG) for optical implementation of large-sized neural networks has been developed and its electro-optical implementation for 2-dimensional input and output neurons has been demostrated. The 4-dimensional global fixed interconnections and 2-dimensional adaptive gain-controls are implemented by multi-facet computer generated holograms and LCTV spatial light modulators, respectively. When the input signals pass through optical system to the output classifying layer, the TAG adaptive learning algorithm is implemented by a personal computer. The system classifies three 5$\times$5 input patterns correctly.

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통신기기용 대역통과필터의 공정에 관한 연구 (A study on Photolithography of band pass filter for communication devices)

  • 이동윤;신용덕
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2002년도 춘계학술대회 논문집 유기절연재료 전자세라믹 방전플라즈마 일렉트렛트 및 응용기술
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    • pp.247-250
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    • 2002
  • SAW filters were fabricated on $LiNbO_3$ substrates to evaluate frequency response and properties of photolithography. In the both of etch and lift-off methods, lift off method was superior to etch method in fabrication process. Frequency response property was measured by network analyzer. From measurement of acoustic property, SAW propagation velocity was 3574.9m/sec for $LiNbO_3$ SAW filter.

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황사의 발생전망과 종합대책 (The Characteristics of Asian Dust and Comprehensive Countermeasure)

  • 김용수
    • 기술사
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    • 제41권2호
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    • pp.68-74
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    • 2008
  • Asian Dust is a seasonal phenomenon which affects much of East Asia mostly in spring. The dust and sand storm originate in the deserts of Mongolia. northern China, and Kazakhstan. Asian Dust is carried eastward by prevailing winds, and pass over China, the Korean Peninsula. and Japan. In recent years, Republic of Korea, China, and Japan have participated in projects associated with implementation of observation network and reforestation in the source region. The information of Asian Dust can be exchanged in real time among the east Asian countries through the international co-operation.

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POWER AWARE ROUTING OPTIMIZATION: AN ENHANCEMENT

  • Nguyen, VanDong;Song, Joo-Seok
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 춘계학술발표대회
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    • pp.1453-1456
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    • 2004
  • PARO, a power-aware routing optimization mechanism, is proposed in [1] to minimize the transmission power needed to forward packets between wireless devices in ad hoc network. The mechanism works by redirecting the route to pass through one or more intermediate nodes on behalf on source-destination pairs, then reducing the end-to-end transmission power. This paper will show an extension of this model and provide an analysis of the geometrical area lying between source and destination in which the intermediate node elects to perform redirection. The duration the intermediate node stays in that area is also computed.

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Improvement of High-Availability Seamless Redundancy (HSR) Traffic Performance for Smart Grid Communications

  • Nsaif, Saad Allawi;Rhee, Jong Myung
    • Journal of Communications and Networks
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    • 제14권6호
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    • pp.653-661
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    • 2012
  • High-availability seamless redundancy (HSR) is a redundancy protocol for Ethernet networks that provides two frame copies for each frame sent. Each copy will pass through separate physical paths, pursuing zero fault recovery time. This means that even in the case of a node or a link failure, there is no stoppage of network operations whatsoever. HSR is a potential candidate for the communications of a smart grid, but its main drawback is the unnecessary traffic created due to the duplicated copies of each sent frame, which are generated and circulated inside the network. This downside will degrade network performance and might cause network congestion or even stoppage. In this paper, we present two approaches to solve the above-mentioned problem. The first approach is called quick removing (QR), and is suited to ring or connected ring topologies. The idea is to remove the duplicated frame copies from the network when all the nodes have received one copy of the sent frame and begin to receive the second copy. Therefore, the forwarding of those frame copies until they reach the source node, as occurs in standard HSR, is not needed in QR. Our example shows a traffic reduction of 37.5%compared to the standard HSR protocol. The second approach is called the virtual ring (VRing), which divides any closed-loop HSR network into several VRings. Each VRing will circulate the traffic of a corresponding group of nodes within it. Therefore, the traffic in that group will not affect any of the other network links or nodes, which results in an enhancement of traffic performance. For our sample network, the VRing approach shows a network traffic reduction in the range of 67.7 to 48.4%in a healthy network case and 89.7 to 44.8%in a faulty network case, compared to standard HSR.