• Title/Summary/Keyword: Choice Simulation

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A Multicarrier CDMA System Using Divided Spreading Sequence for Time and Frequency Diversity (시간 주파수 다이버시티를 위한 분할된 확산코드를 이용한 멀티캐리어 CDMA 시스템)

  • 박형근;주양익;김용석;차균현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.6B
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    • pp.569-578
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    • 2002
  • This paper proposes a new multicarrier code division multiple access (CDMA) system. The proposed multicarrier CDMA system provides the advantages that the transmission bandwidth is more efficiently utilized by using divided spreading sequence, time and frequency diversity is achieved in frequency selective nultipath (acting channel, and inter-carrier interference (ICI) can be minimized by using specific data and code pattern. In this system, transmitted data bits are serial-to-parallel converted to some parallel branches. On each branch each bit is direct-sequence spread-spectrum modulated by divided spreading sequences and transmitted using orthogonal carriers. The receiver providers a Rake for each carrier, and the outputs of Rakes are combined to get time and frequency diversity. This multicarrier CDMA system allows additional flexibility in the choice of system parameters. Upon varying system parameters, bit error rate (BER) performance is examined for the proposed multicarrier CDMA system. Simulation results show that the proposed multicarrier CDMA scheme can achieve better performance than the other types of conventional multicarrier CDMA systems.

Channel Equalization using Fuzzy-ARTMAP Neural Network

  • Lee, Jung-Sik;Kim, Jin-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.7C
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    • pp.705-711
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    • 2003
  • This paper studies the application of a fuzzy-ARTMAP neural network to digital communications channel equalization. This approach provides new solutions for solving the problems, such as complexity and long training, which found when implementing the previously developed neural-basis equalizers. The proposed fuzzy-ARTMAP equalizer is fast and easy to train and includes capabilities not found in other neural network approaches; a small number of parameters, no requirements for the choice of initial weights, automatic increase of hidden units, no risk of getting trapped in local minima, and the capability of adding new data without retraining previously trained data. In simulation studies, binary signals were generated at random in a linear channel with Gaussian noise. The performance of the proposed equalizer is compared with other neural net basis equalizers, specifically MLP and RBF equalizers.

Scene-Based Video Watermarking Using Temporal Spread Spectrum in Com pressed Domain (압축 영역에서 시간축 확산 스펙트럼을 이용한 장면단위의 비디오 워터마킹)

  • 최윤희;강경표;최태선
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.93-96
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    • 2002
  • This paper presents robust and efficient scene-based video watermarking method using visual rhythm (spatio-temporal slice) in compressed domain. Scene change can be detected easily using visual rhythm and video sequences are conveniently edited at the scene boundaries. Therefore, scene-based watermark embedding Process it a natural choice. Temporal spread spectrum can be achieved by applying spread spectrum methods to visual rhythm. Additive Gaussian noise, low-pass filtering, median filtering and histogram equalization attack are simulated for all frames. Frame sub-sampling is also simulated as a typical video attack Simulation results show that proposed algorithm is robust and efficient in the presence of such kind of attacks.

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Development of Three-Dimensional Ion Implantation Simulator Using Analytical Model (해석모델을 이용한 3차원 이온주입 시뮬레이터 개발)

  • 박화식;이준하;황호정
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.30A no.12
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    • pp.43-50
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    • 1993
  • Three-dimensional simulator for the ion implantation process is developed. The simulator based on an analytical model which would be a choice with high computational efficiency and accuracy. This is an important issue for the simulation of a numerous number of processing steps required in the fabrication of ULSI or GSI. The model can explain scattering and bulk channeling mechanism (1D). It can also explain depth dependent lateral diffusion effect(2D) and mask effect(3D). The model is consist of one-dimensional JPD(Joined Pearson Distribution) function and two-dimensional modified Gaussian functions. Final implanted profiles under typical mask structures such as hole, line and island structure are obtained with varying ion species.

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FEM simulation of a full-scale loading-to-failure test of a corrugated steel culvert

  • Wadi, Amer;Pettersson, Lars;Karoumi, Raid
    • Steel and Composite Structures
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    • v.27 no.2
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    • pp.217-227
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    • 2018
  • This paper utilizes 3D FEM to provide deeper insights about the structural behaviour of a 6.1 m span steel culvert, which was previously tested under extreme loading. The effect of different input parameters pertaining to the backfill soil has been investigated, where the structural response is compared to field measurements. The interface choice between the steel and soil materials was also studied. The results enabled to realize the major influence of the friction angle on the load effects. Moreover, the analyses showed some differences concerning the estimation of failure load, whereas reasons beyond this outcome were arguably presented and discussed.

Simulation and Analysis for Small Rapid Transit System (소형궤도열차시스템 모의시험 및 분석)

  • Jeong, Rag-Gyo;Kim, Yeon-Soo;Cho, Bong-Kwan;Choi, Hyo-Jeong
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.748-754
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    • 2006
  • Small Rapid Transit System(SRTS) will be defined fully automated urban transit system providing a rapid and personalized door to door transport service. Conventional forms of public transit require passengers to collect in groups until a large vehicle is scheduled to travel on predetermined routes. In contrast, SRTS offers personal transport with no waiting, and takes passengers non-stop to their chosen destination. This is a transport system which is as convenient as, or in congested environments more convenient than, the car, but with minimal environmental impact. Accordingly the foundation study of choice system size for development of SRTS

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Tunable-Slot-Type Ground Radiation Antenna with Dual Band Operation Using LC Resonator

  • Zahid, Zeeshan;Kim, Hyeongdong
    • Journal of electromagnetic engineering and science
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    • v.17 no.2
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    • pp.71-75
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    • 2017
  • A dual-band tunable-slot-type ground radiation antenna is proposed. The feeding structure consists of a coplanar waveguide and a lumped capacitor to excite currents for first- and second-order resonant modes of the ground. The resonant frequencies of both bands are controlled using a series combination of a capacitor and an inductor. The proposed design may be an attractive choice for mobile devices owing to its compact geometry and tunable operating frequencies. The measurement and simulation results of the proposed antenna show good agreement, indicating good impedance matching and radiation performance.

Adaptive Control of Uncertain Systems without Knowing Perfect Uncertainty Bounds (불확실한 시스템의적응제어)

  • Hong-Seok Kim;Chong-Ho Choi
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.38 no.11
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    • pp.905-912
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    • 1989
  • An adaptive control scheme is presented for uncertain systems whose uncertainties are upper-bounded by a linear combination of unknown constants and known continuous functions. The state of the closed-loop system is proven to be ultimately bounded. The proposed method modifies the method of Corless and Leitmann in the following two respects. First, the linear region of the saturation function in controller is fixed. Second, the intergration from in parameter estimator is replaced by a low pass filter form. These modifications prevent performance degradation and destabilization of the control system more effectively. The norm of the system states can be made sufficiently small by an appropriate choice of design parameters in the control law. The applicability of the proposed scheme is demonstrated in the position control of a simple pendulum via simulation.

A Forecasting System for KOSPI 200 Option Trading using Artificial Neural Network Ensemble (인공신경망 앙상블을 이용한 옵션 투자예측 시스템)

  • 이재식;송영균;허성회
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.11a
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    • pp.489-497
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    • 2000
  • After IMF situation, the money market environment is changing rapidly. Therefore, many companies including financial institutions and many individual investors are concerned about forecasting the money market, and they make an effort to insure the various profit and hedge methods using derivatives like option, futures and swap. In this research, we developed a prototype of forecasting system for KOSPI 200 option, especially call option, trading using artificial neural networks(ANN), To avoid the overfitting problem and the problem involved int the choice of ANN structure and parameters, we employed the ANN ensemble approach. We conducted two types of simulation. One is conducted with the hold signals taken into account, and the other is conducted without hold signals. Even though our models show low accuracy for the sample set extracted from the data collected in the early stage of IMF situation, they perform better in terms of profit and stability than the model that uses only the theoretical price.

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A Selection of an Optimal Mother Wavelet for Stator Fault Detection of AC Generator (교류 발전기 고정자 사고 검출을 위한 최적 마더 웨이브릿의 선정)

  • Park, Chul-Won
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.4
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    • pp.377-382
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    • 2008
  • For stator winding protection of AC generator, KCL(Kirchhoff's Current Law) is widely applied. Actually a CRDR(Current Ratio Differential Relay) based on DFT(Discrete Fourier Transform) has been used for protecting generator. It has been pointed out that defects can occur during the process of transforming a time domain signal into a frequency domain one which can lead to loss of time domain information. Wavelets techniques are proposed for the analysis of power system transients. This paper introduces an algorithm to choose a suitable Mother Wave1et for generator stator fault detection. For optimal selection, we analyzed db(Daubechies), sym(Symlets), and coif(Coiflects) of Mother Wavelet. And we compared with performance of the choice algorithm using detail coefficients energy and RMS(root mean square) error. It can be improved the reliability of the conventional DFT based CRDR. The feasibility and effectiveness of the proposed scheme is proved with simulation using collected data obtained from ATP (Alternative Transient Program) package.