• Title/Summary/Keyword: 수학적 성능

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A study on the BER Performance Improvement by Oversampling of the Transmit Signal Waveform in OFDM (OFDM에서 전송 신호의 oversampling을 통한 BER 성능개선에 관한 연구)

  • Kim Jee bum;Jeon Hyoung goo;Jang Jong wook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.10C
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    • pp.1378-1386
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    • 2004
  • In this paper, we propose an OFDM scheme to increase the BER performance. The proposed OFDM scheme makes the baseband OFDM signal by using the oversampled OFDM signal values which are obtained by inserting N(=2$\^$k/) zeros and carrying out 2N point IFFT. In the demodulation part, the sampling operation for A/D conversion is carried out with the 2 times high sampling speed. 2 N point FFT is carried out for the data demodulation. In this paper, we show, with the mathematical method and the computer simulation, that the SNR of the proposed OFDM scheme is 3 dB higher than that of the conventional OFDM in the same AWGN channel conditions given.

Improvement of Search Efficiency in Optimization Algorithm using Self-adaptive Harmony Search Algorithms (매개변수 자가적응 화음탐색 알고리즘의 성능 비교를 통한 최적해 탐색 효율 향상)

  • Choi, Young Hwan;Lee, Ho Min;Yoo, Do Guen;Kim, Joong Hoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.1-11
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    • 2018
  • In various engineering fields, determining the appropriate parameter set is a cumbersome and difficult task when solving optimization problems. Despite the appropriate parameter setting through parameter sensitivity analysis, there are limits to evaluating whether the parameters are appropriate for all optimization problems. For this reason, kinds of a Self-adaptive Harmony searches have been developed to solve various engineering problems by the appropriate setting of algorithm's own parameters according to the problem. In this study, various types of Self-adaptive Harmony searches were investigated and the characteristics of optimization were categorized. Six algorithms with a differentiation of optimization process were applied and compared with not only the mathematical optimization problem, but also the engineering problem, which has been applied widely in the algorithm performance comparisons. The performance of each algorithm was compared, and the statistical performance indicators were used to evaluate the application results quantitatively.

An Implementation of Modulation/ Demodulation System Based on the Multipath Analyses for the Acoustic-based Communication (Multipath를 고려한 수중 초음파 통신시스템의 구현)

  • 임용곤;박종원;김천석;이영철
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.1 no.1
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    • pp.95-104
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    • 1997
  • This paper deals with an analysis of multipath which affect a transmission performance in underwater acoustic channel. For the test of autonomous underwater vehicle(AUV), underwater acoustic channel with multipath structure is introduced to mathmatical modelling for a basin environment. In this paper, SMR(Signal to Multipath Ratio) which is defined as a parameter of mulipath's effect is presented as a mathmatical equation, and the equation or SMR is simulated by MATLAB program.

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Performance Evaluation of a Multistage Interconnection Network with Output-Buffered ${\alpha}{\times}{\alpha}$ Switches (출력 버퍼형${\alpha}{\times}{\alpha}$스위치로 구성된 다단 연결망의 성능 분석)

  • 신태지;양명국
    • Journal of KIISE:Information Networking
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    • v.29 no.6
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    • pp.738-748
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    • 2002
  • In this paper, a performance evaluation model of the Multistage Interconnection Network(MIN) with the multiple-buffered crossbar switches is Proposed and examined. Buffered switch technique is well known to solve the data collision problem of the MIN. The proposed evaluation model is developed by investigating the transfer patterns of data packets in a switch with output-buffers. The performance of the multiple-buffered${\alpha}{\times}{\alpha}$ crossbar switch is analyzed. Steady state probability concept is used to simplify the analyzing processes, Two important parameters of the network performance, throughput and delay, are then evaluated, To validate the proposed analysis model, the simulation is carried out on a Baseline network that uses the multiple buffered crossbar switches. Less than 2% differences between analysis and simulation results are observed. It is also shown that the network performance is significantly improved when the small number of buffer spaces is given. However, the throughput elevation is getting reduced and network delay becomes increasing as more buffer spaces are added in a switch.

On-line noise coherence estimation algorithm for binaural speech enhancement system (양이형 음성 음질개선 시스템을 위한 온라인 잡음 상관도 추정 알고리즘)

  • Ji, Youna;Baek, Yong-hyun;Park, Young-cheol
    • The Journal of the Acoustical Society of Korea
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    • v.35 no.3
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    • pp.234-242
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    • 2016
  • In this paper, an on-line noise coherence estimation algorithm for binaural speech enhancement system is proposed. A number of noise Power Spectral Density (PSD) estimation algorithms based on the noise coherence between two microphones have been proposed to improve the speech enhancement performance. In the conventional algorithms, the noise coherence was characterized using a real-valued analytic model. However, unlike the analytic model, the noise coherence between the two microphones is time-varying in real environments. Thus, in this paper, the noise coherence is updated in accordance with the variation of the acoustic environment to track the realistic noise coherence. The noise coherence can be updated only during the absence of speech, and the simulation results demonstrate the superiority of the proposed algorithm over the conventional algorithms based on the analytic model.

Vehicular Web Server Cluster Design for Next Generation Centralized Navigation Services (차세대 집중형 항행 서비스를 위한 이동체 웹 서버 클러스터 설계)

  • Kim, Ronny Yongho;Kim, Young Yong
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.669-676
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    • 2009
  • HTTP or audio/video streaming services are good candidates for future centralized navigation system and in order to provide stability for such services, service providers use a cluster of web servers. In this paper, we provide the criteria for web server cluster design of vehicular users with consideration of differentiated access per different user classes. Several feasible scenarios are examined and their performance analysis using queueing theory is presented to provide the foundation for web server cluster design using traffic load balancer. Through the thorough analysis, efficient criteria for traffic load balancer design is derived. In order to satisfy users' service requirements, priority services controlled by traffic load balancer are considered and analyzed. We also provide the evaluation of the accuracy of the analytical model through simulation.

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Modeling and Analysis of Link Initialization Access of RE-DSRC (RF-DSRC 링크초기접속 모델링 및 분석)

  • Lee Min-Heui;Kwag Su-Jin;Jung Jong-In;Lee Sang-Sun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.4 no.2 s.7
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    • pp.23-31
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    • 2005
  • ITS(Intelligent Transportation System) implementing information collection services and information support services for cars of moving fast needs a communication system of special aim such as RF-DSRC(Radio Frequency Dedicated Short Range Communication). Before RSE(Road Side Equipment) and OBE(On-Board Equipment) will be able to communicate RF-DSRC, OBE first have to request Link Initialization Access using ACTC(Activation Channel) in allocated ACTS(Activation Slot) by Slotted ALOHA. Even though Link Initialization Access is a important element to decide performance of communication system, optimal mathematic modeling study of Link Initialization Access which is adapted RF-DSRC characteristics is not enoush. So, in this paper, we propose mathematical modeling about Link Initialization Access of RF-DSRC. And then we computed Link Initialization Access probability defining offer load(G) which is adapted RF-DSRC characteristics for analyzing performance of modeling.

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On Design Intelligent Control System by Fussionf of Fuzzy Logic and Genetic Algorithms (퍼지논리와 유전자 알고리즘 융합에 의한 지능형 제어 시스템)

  • Lee, Mal-Rye;Kim, Tae-Eun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.4
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    • pp.952-958
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    • 1999
  • This paper presented the application of GAs as a means of finding optimal solutions over a parameter space in the controller design for a fuzzy control system. The performance can involve a weighted combination of various performance characteristics such as rise-time, settling-time, settling-time, overshoot. The results obtained here are compared with those for a traditional design obtained using the root-locus method. In contrast to traditional methods, the GA-based method does not require the usual mathematical processess or mathematical model of the system. In this paper, the Ga-based Fuzzy control system combining Fuzzy control theory with the GA, that is known to be very effective in the optimization problem, will be proposed The effectiveness of the proposed control system will be demonstrated by computer simulations using task tracking position system in stable and unstable linear systems. It is shown that the GA-based controller is better than the traditional controller used It stable and unstable linear systems.

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An Enhancement Method of Document Restoration Capability using Encryption and DnCNN (암호화와 DnCNN을 활용한 문서 복원능력 향상에 관한 연구)

  • Jang, Hyun-Hee;Ha, Sung-Jae;Cho, Gi-Hwan
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.79-84
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    • 2022
  • This paper presents an enhancement method of document restoration capability which is robust for security, loss, and contamination, It is based on two methods, that is, encryption and DnCNN(DeNoise Convolution Neural Network). In order to implement this encryption method, a mathematical model is applied as a spatial frequency transfer function used in optics of 2D image information. Then a method is proposed with optical interference patterns as encryption using spatial frequency transfer functions and using mathematical variables of spatial frequency transfer functions as ciphers. In addition, by applying the DnCNN method which is bsed on deep learning technique, the restoration capability is enhanced by removing noise. With an experimental evaluation, with 65% information loss, by applying Pre-Training DnCNN Deep Learning, the peak signal-to-noise ratio (PSNR) shows 11% or more superior in compared to that of the spatial frequency transfer function only. In addition, it is confirmed that the characteristic of CC(Correlation Coefficient) is enhanced by 16% or more.

A Comparative Study of Genetic Algorithm and Mathematical Programming Technique applied in Design Optimization of Geodesic Dome (지오데식 돔의 설계최적화에서 유전알고리즘과 수학적계획법의 비교연구)

  • Lee, Sang-Jin;Lee, Hyeon-Jin
    • Proceeding of KASS Symposium
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    • 2008.05a
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    • pp.101-106
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    • 2008
  • This paper describes a comparative study of genetic algorithm and mathematical programming technique applied in the design optimization of geodesic dome. In particular, the genetic algorithm adopted in this study uses the so-called re-birthing technique together with the standard GA operations such as fitness, selection, crossover and mutation to accelerate the searching process. The finite difference method is used to calculate the design sensitivity required in mathematical programming techniques and three different techniques such as sequential linear programming (SLP), sequential quadratic programming(SQP) and modified feasible direction method(MFDM) are consistently used in the design optimization of geodesic dome. The optimum member sizes of geodesic dome against several external loads is evaluated by the codes $ISADO-GA{\alpha}$ and ISADO-OPT. From a numerical example, we found that both optimization techniques such as GA and mathematical programming technique are very effective to calculate the optimum member sizes of three dimensional discrete structures and it can provide a very useful information on the existing structural system and it also has a great potential to produce new structural system for large spatial structures.

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