• 제목/요약/키워드: NAT problem

검색결과 312건 처리시간 0.027초

RM 단분자를 이용한 초기 밴드 상태 OCB 셀의 전기적 특성 연구 (Study on Electric characteristics of Optically Compensated Bend formed initially bend state by Reactive Mesogen monomer)

  • 전은정;김성수;임영진;이명훈;이승희
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2008년도 춘계학술대회 및 기술 세미나 논문집 디스플레이 광소자
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    • pp.49-50
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    • 2008
  • OCB mode has advantages such as fast response time and wide viewing angle. But it has inevitable shortcoming which initial splay state must be changed to bend state. To overcoming this problem, OCB cell filled LC with RM monomer was cured by UV when voltage applied. Through previously mentioned methods, even if electric field is none, bend state was made by stabilized LC director. In this paper, we investigated the electric characteristics of polymer stabilized OCB mode.

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PC 베이스 전력계통 해석용 데이터 베이스 구축에 관한 연구 (A Study of PC-Based Database Construction for Analysing Power System)

  • 최익순;김건중;이병일;오성균;주운표;전동훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 A
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    • pp.107-109
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    • 2000
  • This paper deals with the method of solving the problem of editing data in the former file-based power system analγsis program. It gives more convenient and effective to user. Also, a method to use the rowel-system analysis program based in the web interface is presented.

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A novel Neuro Fuzzy Modeling using Gaussian Mixture Models

  • Kim, Sung-Suk;Kwak, Keun-Chang;Kim, Sung-Soo;Chun, Myung-Geun;Ryu, Jeong-Woong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.110.1-110
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    • 2002
  • We propose a novel neuro-fuzzy system based on an efficient clustering method. It is a very useful method that improves the performance of a fuzzy model with small number of fuzzy rules. The fuzzy clustering methods are studied in the wide range of fuzzy modeling. One of them, the grid partition method has problem of exponentially increasing number of rules when the dimension of input or number of membership function is linearly increased. On the other hand, the Expectation Maximization algorithm is an efficient estimation for unknown parameters of the Gaussian mixture model. Here it is noted that the parameters can be used for fuzzy clustering method. In a fuzzy modeling, it is desired that...

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해수 전기분해용 대전류 인버터 방식의 정류기 특성분석 (Output Characteristic Analysis of High-Current Rectifier for Electrolysis of Seawater)

  • 조원우;김진영;김슬기;김인동;노의철;고강우;배상범;강부녕
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2010년도 하계학술대회 논문집
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    • pp.570-571
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    • 2010
  • To reduce the problem of ecocide, the plating equipment, water treatment system, electrolysis facility in ship need high current high power rectifier. This paper shows entire constitution of the proposed high-current rectifier for electrolysis of seawater, describes a way to design controller and analyzes output characteristic of the rectifier.

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신경망을 이용한 입력제한 플랜트의 제어 (Control Of A Bounded-Input Plant Using Neural Network)

  • 김동희;이시일;김성식;유동완;서보혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2693-2695
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    • 2000
  • Generally, neural networks can be used efficiently for the identification and control of nonlinear dynamical system, then it always needs to learn in order that the output values is closed to desired values. But, if plant input to control is limited to certain bounded values, former learning rules has the another problem. This paper demonstrates algorithm to control the bounded-input plant using neural network controller.

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Material Recognition Using Temperature Response Curve Fitting and Fuzzy Neural Network

  • Young-C. Lim;Park, Jin-K;Ryoo, Young-J;Jang, Young-H;Kim, I-G.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.15-24
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    • 1995
  • This paper describes a system that can be used to recognize an unknown material regardless of the fuzzy neural network(FNN). There are some problems to realize the recognition system using temperature response. It requires too many memories to store the vast temperature response data and it has to be filtered to remove noise which occurs in experiment. And the temperature response is influenced by the change of ambient temperature. So, this paper proposes a practical method using curve fitting to remove above problems of memories and noise. and FNN is proposed to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient. Temperatures and known thermal conductivity, the thermal conductivity of the material can be inferred on various ambient temperatures. So the material can be recognized by the thermal conductivity.

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인터넷 전화 서비스를 위한 NAT 프럭시 서버 (A NAT Proxy Server for an Internet Telephony Service)

  • 손주영
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제9권1호
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    • pp.47-59
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    • 2003
  • 인터넷 전화 서비스는 현재 상업적으로 성공한 인터넷 기반 응용 서비스 가운데 하나이다. 이 서비스를 위한 기반 기술은 YoIP이다. 이는 QoS 보장이 되지 않는 인터넷에서의 분산 멀티미디어 서비스를 위한 표준 프로토콜인 H.323 또는 SIP를 활용한다. 여기서 음성 데이타를 전송하기 위한 프로토콜로써 RTP/UDP/IP 프로토콜 스택을 채택하였다. 그러나 UDP 전송 프로토콜을 이용하는 인터넷 응용은 비공인 IP 주소를 이용하는 사설망 또는 일부 초고속인터넷망 서비스 접속자들에게 불완전하게 데이타를 전송하는 결과를 초래한다. 인터넷 전화 서비스 경우, 음성 수신이 불가능하여 상대방의 목소리가 들리지 않는 현상이 발생한다. 특히 본 논문에서 다룬 인터넷 전화 서비스에서는 음성 데이타 수신을 위해 모든 세션에 대해 동일한 하나의 UDP 포트 번호를 사용하는 특성을 가지고 있어 문제를 더욱 어렵게 하였다. 이 문제를 해결하는 방식으로 단말 프럭시, 게이트웨이 프럭시 프로토콜 변환 방식 등을 제시하고, 그 가운데 실제 구현한 게이트웨이 프럭시 방식을 기반으로 한 NAT 프럭시 서버에 대해 자세하게 설명한다.

Positioning using ZigBee and Ultrasound

  • Park, Chan-Sik;Kim, Seung-Beom;Kang, Dong-Youn;Yun, Hee-Hak;Cha, En-Jong;Lee, Sang-Jeong
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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    • pp.217-222
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    • 2006
  • To find a location, GPS has been wildly used. But, it is hard to use in indoor because of very weak signal level. To meet indoor requirements, there have been many studies applying wireless communication networks such as WLAN, UWB and ZigBee. Among these, ZigBee is widely adopted in many WSN applications because it has an advantage of low-power and low-cost. In ZigBee, the RSSI is used as range measurement for ad-hoc network. The RSSI are converted to ranges using the signal attenuation model and these ranges become inputs of positioning methods. The obtained position with RSSI has large error because of its poor accuracy. To overcome this problem, ultrasonic sensors are added in many researches. By measuring the arrival time difference of ZigBee and ultrasound as a range measurement, the precise position can be found. However, there are still many problems: scheduling of beacons to transmit signals in a correct order, addition and synchronization of beacons and low-rate positioning rate. At this paper, an efficient method to solve these problems is proposed. In the proposed method, a node transmits ZigBee and ultrasound signal simultaneously. And beacons find the range with the received signals and send it back to a node with ZigBee. The position is computed in a node with the received ranges. In addition, a new positioning algorithm to solve the risk of the divergence in the linearization method and the singularity problem in the Savarese method is presented. Both static and dynamic experimental results show 0.02m RMS errors with high output rate.

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비용함수와 서브 골을 이용한 비선형 최적화 방법 기반의 이동로봇 장애물 회피 주행 (Mobile Robot Navigation with Obstacle Avoidance based on the Nonlinear Least Squares Optimization Method using the Cost Function and the Sub-Goal Switching)

  • 정영종;김곤우
    • 전기학회논문지
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    • 제63권9호
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    • pp.1266-1272
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    • 2014
  • We define the mobile robot navigation problem as an optimization problem to minimize the cost function with the pose error between the goal position and the position of a mobile robot. Using Gauss-Newton method for the optimization, the optimal speeds of the left and right wheels can be found as the solution of the optimization problem. Especially, the rotational speed of wheels of a mobile robot can be directly related to the overall speed of a mobile robot using the Jacobian derived from the kinematic model. When the robot detects the obstacle using sensors, the sub-goal switching method is adopted for the efficient obstacle avoidance during the navigation. The performance was evaluated using the simulation and the simulation results show the validity of the proposed method.

반응표면방법론에 의한 BLDC 전동기의 코깅토크저감을 위한 최적화 (Optimization of BLDC Motor for Reduction of Cogging Torque Using Response Surface Methodology)

  • 김영균;홍정표
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 B
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    • pp.647-649
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    • 2000
  • This paper presents a optimization procedure by using Response Surface Methodology(RSM) to determine design Parameters for reducing cogging torque in BLDC motor of Electric Power Steering (EPS). RSM is achieved through using the experiment design method in combination with Finite Element Method and well adapted to make analytical model for a complex problem considering a lot of interaction of these parameters. Moreover, Sequential Quadratic Problem (SQP) method is used to solve the resulting of constrained nonlinear optimization problem.

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