• Title/Summary/Keyword: Optimal performances

Search Result 627, Processing Time 0.022 seconds

Blade Shape Optimization of Wind Turbines Using Genetic Algorithms and Pattern Search Method (유전자 알고리즘 및 패턴 서치 방법을 이용한 풍력 터빈 블레이드의 형상 최적화)

  • Yi, Jin-Hak;Sale, Danny
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.32 no.6A
    • /
    • pp.369-378
    • /
    • 2012
  • In this study, direct-search based optimization methods are applied for blade shape optimization of wind turbines and the optimization performances of several methods including conventional genetic algorithm, micro genetic algorithm and pattern search method are compared to propose a more efficient method. For this purpose, the currently available version of HARP_Opt (Horizontal Axis Rotor Performance Optimizer) code is enhanced to rationally evaluate the annual energy production value according to control strategies and to optimize the blade shape using pattern search method as well as genetic algorithm. The enhanced HARP_Opt code is applied to obtain the optimal turbine blade shape for 1MW class wind turbines. The results from pattern search method are compared with the results from conventional genetic algorithm and also micro genetic algorithm and it is found that the pattern search method has a better performance in achieving higher annual energy production and consistent optimal shapes and the micro genetic algorithm is better for reducing the calculation time.

Design of Matching Layers for high Efficiency-wide band Ultrasonic Transducers (고출력 광대역 초음파 탐촉자를 위한 정합층 설계)

  • Kim, Yeon-Bo;Roh, Yong-Ae
    • The Journal of the Acoustical Society of Korea
    • /
    • v.15 no.5
    • /
    • pp.82-89
    • /
    • 1996
  • Application fields of ultrasonic transducers can be divided into two categories, a high ultrasonic resolution required field and a high ultrasonic power required field. This paper is aimed to determine the optimal properties of the matching layers of the transducer for each of the applications. Further, it is aimed to optimize the properties of the matching layers that show satisfactory performances for both of the application fields. Through the direct time domain analysis of the transmission and reflection behavior of the ultrasonic wave, apart from the conventional equivalent circuit analysis, and Fourier transformation of its results, we found the optimum acoustic impedances of the matching layers. The newly determined layers provide much better transducer performance-57% at most-than those obtained with conventional design methods. Based on the results, we also found the optimal acoustic impedances of the layers good for both of the application fields. For te optimization, we developed a new transducer performance evaluation parameter that can be applied to any type of ultrasonic transducers.

  • PDF

Optimization of Multi-Atlas Segmentation with Joint Label Fusion Algorithm for Automatic Segmentation in Prostate MR Imaging

  • Choi, Yoon Ho;Kim, Jae-Hun;Kim, Chan Kyo
    • Investigative Magnetic Resonance Imaging
    • /
    • v.24 no.3
    • /
    • pp.123-131
    • /
    • 2020
  • Purpose: Joint label fusion (JLF) is a popular multi-atlas-based segmentation algorithm, which compensates for dependent errors that may exist between atlases. However, in order to get good segmentation results, it is very important to set the several free parameters of the algorithm to optimal values. In this study, we first investigate the feasibility of a JLF algorithm for prostate segmentation in MR images, and then suggest the optimal set of parameters for the automatic prostate segmentation by validating the results of each parameter combination. Materials and Methods: We acquired T2-weighted prostate MR images from 20 normal heathy volunteers and did a series of cross validations for every set of parameters of JLF. In each case, the atlases were rigidly registered for the target image. Then, we calculated their voting weights for label fusion from each combination of JLF's parameters (rpxy, rpz, rsxy, rsz, β). We evaluated the segmentation performances by five validation metrics of the Prostate MR Image Segmentation challenge. Results: As the number of voxels participating in the voting weight calculation and the number of referenced atlases is increased, the overall segmentation performance is gradually improved. The JLF algorithm showed the best results for dice similarity coefficient, 0.8495 ± 0.0392; relative volume difference, 15.2353 ± 17.2350; absolute relative volume difference, 18.8710 ± 13.1546; 95% Hausdorff distance, 7.2366 ± 1.8502; and average boundary distance, 2.2107 ± 0.4972; in parameters of rpxy = 10, rpz = 1, rsxy = 3, rsz = 1, and β = 3. Conclusion: The evaluated results showed the feasibility of the JLF algorithm for automatic segmentation of prostate MRI. This empirical analysis of segmentation results by label fusion allows for the appropriate setting of parameters.

Robust Threshold Determination on Various Lighting for Marker-based Indoor Navigation (마커 방식 실내 내비게이션을 위한 조명 변화에 강한 임계값 결정 방법)

  • Choi, Tae-Woong;Lee, Hyun-Cheol;Hur, Gi-Taek;Kim, Eun-Seok
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.1
    • /
    • pp.1-8
    • /
    • 2012
  • In this paper, a method of determining the optimal threshold in image binarization for the marker recognition is suggested to resolve the problem that the performances of marker recognition are quite different according to the changes of indoor lighting. The suggested method determines the optimal threshold by considering the average brightness, the standard deviation and the maximum deviation of video image under the various indoor lighting circumstances, such as bright light, dim light, and shadow by unspecified obstacles. In particular, the recognition under the gradation lighting by shadow is improved by applying the weighted value that depends on the brightness of image. The suggested method is experimented to process $720{\times}480$ resolution video images under the various lighting environments, and it shows the fast and high performance, which is suitable for mobile indoor navigation.

Exact Outage Probability of Two-Way Decode-and-Forward NOMA Scheme with Opportunistic Relay Selection

  • Huynh, Tan-Phuoc;Son, Pham Ngoc;Voznak, Miroslav
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.13 no.12
    • /
    • pp.5862-5887
    • /
    • 2019
  • In this paper, we propose a two-way relaying scheme using non-orthogonal multiple access (NOMA) technology. In this scheme, two sources transmit packets with each other under the assistance of the decode-and-forward (DF) relays, called as a TWDFNOMA protocol. The cooperative relays exploit successive interference cancellation (SIC) technique to decode sequentially the data packets from received summation signals, and then use the digital network coding (DNC) technique to encrypt received data from two sources. A max-min criterion of end-to-end signal-to-interference-plus-noise ratios (SINRs) is used to select a best relay in the proposed TWDFNOMA protocol. Outage probabilities are analyzed to achieve exact closed-form expressions and then, the system performance of the proposed TWDFNOMA protocol is evaluated by these probabilities. Simulation and analysis results discover that the system performance of the proposed TWDFNOMA protocol is improved when compared with a conventional three-timeslot two-way relaying scheme using DNC (denoted as a TWDNC protocol), a four-timeslot two-way relaying scheme without using DNC (denoted as a TWNDNC protocol) and a two-timeslot two-way relaying scheme with amplify-and-forward operations (denoted as a TWANC protocol). Particularly, the proposed TWDFNOMA protocol achieves best performances at two optimal locations of the best relay whereas the midpoint one is the optimal location of the TWDNC and TWNDNC protocols. Finally, the probability analyses are justified by executing Monte Carlo simulations.

A self-organizing algorithm for multi-layer neural networks (다층 신경회로망을 위한 자기 구성 알고리즘)

  • 이종석;김재영;정승범;박철훈
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.41 no.3
    • /
    • pp.55-65
    • /
    • 2004
  • When a neural network is used to solve a given problem it is necessary to match the complexity of the network to that of the problem because the complexity of the network significantly affects its learning capability and generalization performance. Thus, it is desirable to have an algorithm that can find appropriate network structures in a self-organizing way. This paper proposes algorithms which automatically organize feed forward multi-layer neural networks with sigmoid hidden neurons for given problems. Using both constructive procedures and pruning procedures, the proposed algorithms try to find the near optimal network, which is compact and shows good generalization performance. The performances of the proposed algorithms are tested on four function regression problems. The results demonstrate that our algorithms successfully generate near-optimal networks in comparison with the previous method and the neural networks of fixed topology.

Design the Time-Interval Based Fairness Partitioning Method in DVE (DVE에서 시간 기반 균등 부하 분산 방식 설계)

  • Won, Dong-Kee;An, Dong-Un;Chung, Seung-Jong
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.45 no.1
    • /
    • pp.48-54
    • /
    • 2008
  • MMORPGs may involve a great number of concurrent players, and those servers usually have to manage hundred, or even thousands of avatars co-existing in the same virtual world. So if failing to send a command or an event message, or sending it too late may cause damages to the avatar evolution(death, injury, loss of resources), and may result in unjustified penalties for the player. Many policies could be defined to realize a ranking evaluation of available servers. Unfortunately, due to the highly dynamic characteristics of server loads and network performances, any optimal allocation would soon become sub-optimal. In order to solve those problems we propose the "time-interval based fairness partitioning method"(TIP). TIP will distribute the avatar to the game server equally with time-interval in order to avoid the problems form the unfairness of game servers load.

Analysis of CRC-p Code Performance and Determination of Optimal CRC Code for VHF Band Maritime Ad-hoc Wireless Communication (CRC-p 코드 성능분석 및 VHF 대역 해양 ad-hoc 무선 통신용 최적 CRC 코드의 결정)

  • Cha, You-Gang;Cheong, Cha-Keon
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.37 no.6A
    • /
    • pp.438-449
    • /
    • 2012
  • This paper presents new CRC-p codes for VHF band maritime wireless communication system based on performance analysis of various CRC codes. For this purpose, we firstly describe the method of determination of undetected error probability and minimum Hamming distance according to variation of CRC codeword length. By using the fact that the dual code of cyclic Hamming code and primitive BCH code become maximum length codes, we present an algorithm for computation of undetected error probability and minimum Hamming distance where the concept of simple hardware that is consisted of linear feedback shift register is utilized to compute the weight distribution of CRC codes. We also present construction of transmit data frame of VHF band maritime wireless communication system and specification of major communication parameters. Finally, new optimal CRC-p codes are presented based on the simulation results of undetected error probability and minimum Hamming distance using the various generator polynomials of CRC codes, and their performances are evaluated with simulation results of bit error rate based on the Rician maritime channel model and ${\pi}$/4-DQPSK modulator.

Design Optimization of a One-Stage Low Noise Amplifier below 20 GHz in 65 nm CMOS Technology (65 nm CMOS 기술을 적용한 20 GHz 이하의 1 단 저잡음 증폭기 설계)

  • Shen, Ye-Hao;Lee, Jae-Hong;Shin, Hyung-Cheol
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.46 no.6
    • /
    • pp.48-51
    • /
    • 2009
  • One-stage low noise amplifier (LNA) using 65 nm RF CMOS technology below 20 GHz is designed to find the optimal bias voltage and optimal width of input transistor so that the maximum figure of merit (FoM) has been achieved. If the frequency is higher than 13 GHz, the amplifier needs two-stage to achieve the higher gain. If the frequency is lower than 5 GHz, one additional capacitor between gate and source should be added to control the power under the limitation. This paper summarizes one-stage LNA overall performances below 20 GHz and this approach can also be applied to other CMOS technology of LNA designs.

Improvement of the Radiation Beam Profile of a Medical Ultrasonic Transducer (의료용 초음파 트랜스듀서의 방사 빔 형상 개선)

  • Park, Yeonsue;Lee, Wonseok;Roh, Yongrae
    • The Journal of the Acoustical Society of Korea
    • /
    • v.34 no.4
    • /
    • pp.264-273
    • /
    • 2015
  • Improvement of the radiation beam profile of a medical ultrasonic transducer has been researched in this paper. In order to improve the beam profile, a new transducer structure has been devised that includes both a shaded electrode and a multi-focus lens. For a linear sound source, the beam profile was investigated through finite element analysis, and then the optimal design of the devised structure was carried out by considering such performances as sidelobe level, focal range and beamwidth simultaneously. In the process, the optimal dimension of the devised structure was derived by using the ratio of the focal range to the minimum beamwidth as a performance index. As a result, the beam profile has been improved to have a lower sidelobe level at -20.2 dB and a consistent narrow beamwidth from 30 mm to 160 mm depth with the minimum beamwidth at 2.04 mm. Further, a prototype transducer was fabricated to have the devised structure, and its performance was measured and compared with the analysis results to confirm the validity of the devised transducer structure.