Wyniki wyszukiwania - BazTech

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Loadability maximisation in bilateral network for real-time forecasting system using cuckoo search algorithm

Venkatasivanagaraju S., Rao M. Venkateswara

Computer Assisted Methods in Engineering and Science

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2023

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Vol. 30, no. 1

73--88

EN

This manuscript proposes an optimal power flow (OPF) solution in a coordinated bilateralpower network. The primary goal of this project is to maximise the benefits of the powermarket using Newton–Raphson (NR) and cuckoo search algorithm CSA methodologies.The global solution is found using a CSA-based optimisation approach. The study isconducted on real-time bus system. To avoid this, creative techniques have lately beenused to handle the OPF problem, such as loadability maximisation for real-time predictionsystems employing the CSA. In this work, cuckoo search (CS) is used to optimise theobtained parameters that help to minimise parameters in the predecessor and consequentunits of each sub-model. The proposed approach is used to estimate the power load in thelocal area. The constructed models show excellent predicting performance based on derivedperformance. The results confirm the method’s validity. The outcomes are compared withthose obtained by using the NR method. CSA outperformed the other methods in thisinvestigation and gave more accurate predictions. The OPF problem is solved via CSAin this study. Implementing a real-time data case bus system is recommended to test theperformance of the established method in the MATLAB programme.

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Extracting tumor in MR brain and breast image with Kapur's entropy based Cuckoo Search Optimization and morphological reconstruction filters

Sumathi R., Venkatesulu M., Arjunan S. P.

Biocybernetics and Biomedical Engineering

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2018

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Vol. 38, no. 4

918--930

EN

Magnetic Resonance Imaging (MRI) scanners are used to determine the presence of tumors in human bodies. In clinical oncology, algorithms are heavily used to analyze and identify the tumor region in the slice images produced by the MRI scanners. This article presents an unique algorithm which is developed based on Kapur's Entropy-based Cuckoo Search Optimization and Morphological Reconstruction Filters. The former is used to locate and segment the boundary of tumors, while the later to remove unwanted pixels in the slice images. The proposed method yields 97% accuracy in the identification of the exact topographical location of tumor region. It requires less computational time (about 3 milliseconds, on average) for processing. Thus the proposed method can help radiologists quickly detect the exact topographical location of tumor regions even when there are severe intensity variations and poor boundaries. The method fares well in terms also of other standard comparison metrics like entropy, eccentricity, Jaccard Index, Hausdorff distance, MSE, PSNR, precision, recall and accuracy, when compared to the existing methods including Fuzzy C Means clustering and PSO. Above all, the algorithm developed can detect the tumor regions in the MR images of both brain and breast. The method is validated using various types of MR images (T1, T2 for MRI brain, and T1 post contrast and post processed images for breast) available in the online datasets of BRATS, RIDER and Harvard.

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Analiza wybranych rojowych algorytmów optymalizacji w zagadnieniach planowania sieci WLAN

Pieprzycki A., Ludwin W.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2017

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nr 6

307--310, CD

PL

Celem artykułu było sprawdzenie i porównanie metod optymalizacji inspirowanych naturą w zadaniu planowania sieci łączności bezprzewodowej. Analizie poddano algorytmy rojowe, a uzyskane za ich pomocą wyniki porównano z wynikami modelu empirycznego.

EN

The aim of this article was to examine and compare optimization methods inspired by nature in the task of planning wireless networks. Analyzed swarm algorithms, and obtained numerical results were compared with the results of empirical model as well.

4

Optimal design of axial flux permanent magnet motor using Cuckoo search

Cvetkovski G., Petkovska L.

Przegląd Elektrotechniczny

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2016

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R. 92, nr 12

25--28

EN

In this paper a cuckoo search based optimal design of axial flux permanent magnet motor (AFPMM) is proposed. This approach employs a Cuckoo search (CS) technique as a search tool for optimal design solution of a AFPMM based on the value of the objective function. Several optimisation solutions are analysed and a best solution is proposed based on the values of the optimisation parameters and the efficiency, as well as other important motor parameters. An overall comparison of the optimal solution and the prototype model of the motor is presented.

PL

W niniejszej pracy zaproponowano projekt optymalnej konstrukcji osiowego strumienia silnika z magnesami trwałymi (AFPMM) oparty o wykorzystanie algorytmu kukułki. Projekt wykorzystuje algorytm kukułki (CS) jako narzędzie do wyszukiwania optymalnego rozwiązania projektowego AFPMM w oparciu o wartości funkcji celu. Autorzy przeanalizowali kilka rozwiązań optymalizacyjnych i zaproponowali najlepsze rozwiązanie oparte o wartości parametrów optymalizacji oraz wydajności, jak również innych ważnych parametrów silnika. Przedstawiono porównanie optymalnego rozwiązania projektowego z wynikami uzyskanymi dla prototypowego modelu silnika.