Int. J. Comput. Aided Eng. Technol.最新文献_第7页

A new robust fuzzy-PID controller design using gravitational search algorithm 采用引力搜索算法设计了一种新的鲁棒模糊pid控制器

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-19 DOI: 10.1504/IJCAET.2019.10017529

N. Kouba, M. Menaa, M. Hasni, M. Boudour

{"title":"A new robust fuzzy-PID controller design using gravitational search algorithm","authors":"N. Kouba, M. Menaa, M. Hasni, M. Boudour","doi":"10.1504/IJCAET.2019.10017529","DOIUrl":"https://doi.org/10.1504/IJCAET.2019.10017529","url":null,"abstract":"This paper proposes the design of a novel robust load frequency control (LFC) strategy-based optimised fuzzy-PID controller employing gravitational search algorithm (GSA). The suggested GSA algorithm was applied to optimise the input scaling factors of the fuzzy logic and the PID controller gains. To show the potential of the proposed control methodology, a multi-sources two-area interconnected power system was investigated for the simulation. The considered test system comprises various power generating units from hydro, thermal and nuclear sources in area-1, and power generation from hydro, nuclear and diesel sources in area-2. Initially, the simulation was carried considering a centralised controller for both areas to cope with load changes, and then was extended with decentralised controller. Further, sensitivity analysis was performed to demonstrate the ability of the proposed approach in face of wide changes in system parameters and position of load changes. The frequency deviations and the tie-line power flow change were presented, and the superiority of the proposed control strategy was demonstrated by comparing the results with individual gravitational search algorithm (GSA), fuzzy logic controller (FLC) and with some reported techniques in the literature such as Ziegler-Nichols, genetics algorithm (GA), bacterial foraging optimisation algorithm (BFOA) and particle swarm optimisation (PSO).","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126567179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On simple adaptive control of plants not satisfying almost strict passivity and positivity conditions: an introduction to parallel feedforward configuration 不满足几乎严格的被动和正性条件的对象的简单自适应控制:并行前馈结构的介绍

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098135

Khalil Mokhtari, Mourad Abdelaziz

引用次数: 0

SysML model-driven approach to verify blocks compatibility SysML模型驱动的方法来验证块兼容性

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098134

Hamida Bouaziz, Samir Chouali, A. Hammad, H. Mountassir

引用次数: 4

Logistic regression model as classifier for early detection of gestational diabetes mellitus Logistic回归模型在妊娠期糖尿病早期检测中的应用

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098139

Priya Shirley Muller, M. Nirmala

引用次数: 0

Prediction of solar pond performance parameters using artificial neural network 基于人工神经网络的太阳能池性能参数预测

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098133

K. Karunamurthy, R. Manimaran, M. Chandrasekar

{"title":"Prediction of solar pond performance parameters using artificial neural network","authors":"K. Karunamurthy, R. Manimaran, M. Chandrasekar","doi":"10.1504/IJCAET.2019.098133","DOIUrl":"https://doi.org/10.1504/IJCAET.2019.098133","url":null,"abstract":"In this paper, artificial neural networks (ANNs) model was used to predict the performance parameters of a laboratory model salinity gradient solar pond (SGSP), which is used for supplying hot water. Experiments were conducted on three different solar ponds provided with and without twisted tapes in the flow passage of the in-pond heat exchanger during the month of May 2015 at Chennai weather conditions in India. The performance parameters of solar pond such as outlet water temperature, efficiency of solar pond and effectiveness of in-pond heat exchanger were determined experimentally for two different flow rates of Reynolds numbers 1,746 and 8,729. The experimental data obtained from the observations were utilised for training, validating and testing the proposed artificial neural network model. The parameters like incident solar radiation, inlet water temperature, lower convective zone (LCZ) temperature and flow rate are responsible for the outlet water temperature of the solar pond. Based on the experimental readings as inputs a computational program was developed in Python. This program was trained using artificial neural network with back propagation algorithm to predict the outlet water temperature of the in-pond heat exchanger. The results predicted using the model developed is in good agreement with the experimental results.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121219129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Information hiding using LSB replacement technique and adaptive image fusion 利用LSB替换技术和自适应图像融合实现信息隐藏

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098153

S. Lakshmipriya, K. Namitha, Natha Manoj Kumar, Neela Niranjani Vengateshwaran

引用次数: 0

An efficient Hosoya index algorithm and its application 一种高效的细谷索引算法及其应用

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098172

P. Manuel

引用次数: 2

Robust optimal sub-band wavelet cepstral coefficient method for speech recognition 鲁棒最优子带小波倒谱系数语音识别方法

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098137

J. Alex, N. Venkatesan

{"title":"Robust optimal sub-band wavelet cepstral coefficient method for speech recognition","authors":"J. Alex, N. Venkatesan","doi":"10.1504/IJCAET.2019.098137","DOIUrl":"https://doi.org/10.1504/IJCAET.2019.098137","url":null,"abstract":"The objective of this paper is to propose a robust feature extraction technique for speech recognition system which is insusceptible in the adverse environments. Efficacy of the speech recognition system depends on the feature extraction method. This paper proposes an auditory scale like filter banks using optimal sub-band tree structuring based on wavelet transform. The optimised wavelet filter banks along with energy, logarithmic, discrete cosine transform and cepstral mean normalisation blocks form a robust feature extraction method. This method is validated on a hidden Markov model (HMM)-based single Gaussian isolated word recognition system for additive white Gaussian noise, street and airport noises with different noise levels. Compared with Fourier transform-based methods such as mel-frequency cepstral coefficient (MFCC) and perceptual linear predictive (PLP) methods, the wavelet transform-based method yielded significant improvement across all the noise levels. The experiments also performed with higher dimensions of MFCC features including delta, acceleration features (MFCC_D_A). This study proves that the outcome of wavelet transform-based method gives an increased recognition accuracy of 13% over MFCC_D_A for non-stationary noises.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132193425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Design optimisation of cutting parameters for a class of radially-compliant spindles via virtual prototyping tools 利用虚拟样机工具对一类径向柔性主轴的切削参数进行了优化设计

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098138

G. Berselli, M. Pellicciari, G. Bigi, R. Razzoli

引用次数: 2

Implementation of optimal scheduling model for power flow system 潮流系统最优调度模型的实现

Int. J. Comput. Aided Eng. Technol. Pub Date : 2019-03-07 DOI: 10.1504/IJCAET.2019.098132

R. Subramani, C. Vijayalakshmi

引用次数: 2