• Title/Summary/Keyword: Q-System

Search Result 2,285, Processing Time 0.029 seconds

Partial Discharge Characteristics of the XLPE/EPDM Interface in Power Cable Joint (전력케이블 접속재 XLPE/EPDM 계면의 부분방전 특성)

  • Cho, Kyung-Soon;Hong, Jin-Woong
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.20 no.9
    • /
    • pp.780-786
    • /
    • 2007
  • This paper describes the influence on partial discharge characteristics of defects at the model XLPE/EPDM interfaces of power cable joints. The defects of void and copper which could inadvertently be present at the joint interface. We measured ${\Phi}-n,\;{\Phi}-q$ patterns by a computer-aided partial discharge measuring system. Several parameters i, e, maximum discharge $q_{max}$ [pC], average discharge q [pC/cycle], and average angle of discharge ${\Theta}g$ [deg] were found to depend upon the defect type varying applied voltage. As the result of time evaluation, partial discharges are small different at copper defects, but is decreasing obviously about 20 minutes at void defect. It considered that difference of magnitude of total positive discharge of Q+ [pC] and total negative discharge of Q- [pC] is SPMD(swarming pulsive micro discharges).

Optimal Parameter Selection of Q-Algorithm in EPC global Gen-2 RFID System

  • Lim, In-Taek
    • Journal of information and communication convergence engineering
    • /
    • v.7 no.4
    • /
    • pp.469-474
    • /
    • 2009
  • Q-algorithm is proposed at EPC global Class-1 Generation-2 RFID systems to determine the frame size of next query round. In Q-algorithm, the reader calculates the frame size without estimating the number of tags. But, it uses only the slot conditions: empty, success, or collision. Therefore, it wastes less computational cost and is simpler than other algorithms. However, the constant parameter C value, which is used for calculating the next frame size, is not optimized. In this paper, we propose the optimized C values of Q-algorithm according to the number of tags within the identification range of reader through a lot of computer simulations.

S-ketoprofen enantiomer의 정제를 위한 SMB(Simulated Moving Bed) 크로마토그래피 장치의 모델링

  • Yun, Tae-Ho;Kim, In-Ho
    • 한국생물공학회:학술대회논문집
    • /
    • 2002.04a
    • /
    • pp.489-492
    • /
    • 2002
  • We have performed batch chromatography experiments to calculate parameters which are used to design SMB chromatography system. Isotherms of S- and R-ketoprofen enantiomers were gained from small amount loading experiments in a column, and flow rate of four zones of SMB chromatography were calculated using mass balance equations. As a results, diameter and length of columns were 10mm and 600mm, and flow rate of each zone were as follows; $Q_{Feed}$=1.00ml/min ,$Q_{Elu}$=2.81ml/min ,$Q_{Raf}$=1.81ml/min ,$Q_{Ext}$=2.00ml/min , and $Q_{Rec}^{TMB}$=10.75ml/min , From the Darcy's equation, the pressure drop in whole columns of SMB chromatography was 128bar.

  • PDF

Object tracking algorithm of Swarm Robot System for using SVM and Polygon based Q-learning (SVM과 다각형 기반의 Q-learning 알고리즘을 이용한 군집로봇의 목표물 추적 알고리즘)

  • Seo, Sang-Wook;Yang, Hyun-Chang;Sim, Kwee-Bo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2008.04a
    • /
    • pp.143-146
    • /
    • 2008
  • 본 논문에서는 군집로봇시스템에서 목표물 추적을 위하여 SVM을 이용한 12각형 기반의 Q-learning 알고리즘을 제안한다. 제안한 알고리즘의 유효성을 보이기 위해 본 논문에서는 여러대의 로봇과 장애물 그리고 하나의 목표물을 정하고, 각각의 로봇이 숨겨진 목표물을 찾아내는 실험을 가정하여 무작위, DBAM과 ABAM의 융합 모델, 그리고 마지막으로 본 논문에서 제안한 SVM과 12각형 기반의 Q-learning 알고리즘을 이용하여 실험을 수행하고, 이 3가지 방법을 비교하여 본 논문의 유효성을 검증하였다.

  • PDF

Quality assurance for computed-tomography simulator : Report of the AAPM Radiation Therapy Committee Task Group No.66 (Report of the AAPM Radiation Therapy Committee의 Task Group No.66에 의한 전산화 단층촬영 모의치료기의 정도 관리)

  • Lee, Yun-Seok
    • The Journal of Korean Society for Radiation Therapy
    • /
    • v.17 no.1
    • /
    • pp.41-43
    • /
    • 2005
  • Purpose : Wish to present degree management process that is efficient confirm radiation treatment exclusive use CT simulator's Q.A item that become Q.A and Differentiation of diagnosis area that present Report of the AAPM Task Group No.66 using Q.A tool that produce itself and secure safe and correct CT-simulation process and equip convenience. Method and material : Manufacture CT simulator's Q.A tool on source and confirm virtue between isocenter of wall laser system, patient table, CT scanner's imaging plane that present in Report of the AAPM Task Group No.66 by daily publication unit. Result : Confirmed measured value from Report of the AAPM Task Group No.66 to confirmation of presenting degree management item in wall laser's ${\pm}2mm$, table's ${\pm}2mm$, imaging plane's ${\pm}2mm$ tolerance extent. Conclusion : There is unconfirmed item from CT-simulation process for therapy to CT Q.A protocol of existent diagnosis area, premising suitable degree management of radiation treatment exclusive use CT-simulator equipment confirming presenting Q.A item in Report of the AAPM Task Group No.66 safe and correct CT-simulation process guarantee can

  • PDF

User-perceived QoS Control in a Cluster-based Web Sewer System (클러스터 기반 웹서버 시스템에서의 사용자 감지 서비스 질보장을 위한 입장 제어)

  • 임상석;이창규;임승호;박규호
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2001.10c
    • /
    • pp.253-255
    • /
    • 2001
  • 본 논문은 급속한 인터넷의 성장에 따라 사용자의 서비스 질을 보장하기 위한 Q-PID라는 제어기를 새롭게 제안한다. 이러한 제어기는 사용자 요청에 대한 응답시간을 보장하기 위하여 모든 웹 요청에 대해서 입장 허용 가능한지를 조사하고 이게 근거하여 입장 허용된 요청은 서버 지연 응답시간을 보장해 줄 수 있도록 한다. 이러한 Q-PID 제어기를 사용함으로서 복잡한 사용자의 요구를 충족시킬 수 있다. 이러한 Q-PID를 설계하고 구현하였으며 실험결과와 함께 제어성에 대해서 토의하였다.

  • PDF

Comparative Study on Tensor and Vector Approaches for 3D-FEM Numerical Simulator

  • Cho, Sang-Young;Yang, Seung-Soo;Yoon, Hyoung-Jin;Won, Tae-Young
    • 한국정보디스플레이학회:학술대회논문집
    • /
    • 2007.08a
    • /
    • pp.517-519
    • /
    • 2007
  • We report our study on the implementation of Q tensor approach into three-dimensional finite element method (FEM) numerical solver. The comparative simulation results demonstrated the possibility of a different director configuration in between Q tensor method and vector method. The comparative study confirmed that Q Tensor implementation is more appropriate for OCB analysis than the vector method.

  • PDF

IRREDUCIBLE POLYNOMIALS WITH REDUCIBLE COMPOSITIONS

  • Choi, Eun-Mi
    • Honam Mathematical Journal
    • /
    • v.33 no.3
    • /
    • pp.355-366
    • /
    • 2011
  • In this paper we investigate criteria that for an irreducible monic quadratic polynomial f(x) ${\in}$ $\mathbb{Q}$[x], $f{\circ}g$ is reducible over $\mathbb{Q}$ for an irreducible polynomial g(x) ${\in}$ $\mathbb{Q}$[x]. Odoni intrigued the discussion about an explicit form of irreducible polynomials f(x) such that $f{\cric}f$ is reducible. We construct a system of infitely many such polynomials.

Mining Regular Expression Rules based on q-grams

  • Lee, Inbok
    • Smart Media Journal
    • /
    • v.8 no.3
    • /
    • pp.17-22
    • /
    • 2019
  • Signature-based intrusion systems use intrusion detection rules for detecting intrusion. However, writing intrusion detection rules is difficult and requires considerable knowledge of various fields. Attackers may modify previous attempts to escape intrusion detection rules. In this paper, we deal with the problem of detecting modified attacks based on previous intrusion detection rules. We show a simple method of reporting approximate occurrences of at least one of the network intrusion detection rules, based on q-grams and the longest increasing subsequences. Experimental results showed that our approach could detect modified attacks, modeled with edit operations.

R-Trader: An Automatic Stock Trading System based on Reinforcement learning (R-Trader: 강화 학습에 기반한 자동 주식 거래 시스템)

  • 이재원;김성동;이종우;채진석
    • Journal of KIISE:Software and Applications
    • /
    • v.29 no.11
    • /
    • pp.785-794
    • /
    • 2002
  • Automatic stock trading systems should be able to solve various kinds of optimization problems such as market trend prediction, stock selection, and trading strategies, in a unified framework. But most of the previous trading systems based on supervised learning have a limit in the ultimate performance, because they are not mainly concerned in the integration of those subproblems. This paper proposes a stock trading system, called R-Trader, based on reinforcement teaming, regarding the process of stock price changes as Markov decision process (MDP). Reinforcement learning is suitable for Joint optimization of predictions and trading strategies. R-Trader adopts two popular reinforcement learning algorithms, temporal-difference (TD) and Q, for selecting stocks and optimizing other trading parameters respectively. Technical analysis is also adopted to devise the input features of the system and value functions are approximated by feedforward neural networks. Experimental results on the Korea stock market show that the proposed system outperforms the market average and also a simple trading system trained by supervised learning both in profit and risk management.