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Comparison of Fractal Compression Methods of Images
This article is a report on the results of a comparative analysis of various most commonly used methods of fractal image compression: actually, fractal compression, compression using iterated functional systems, compression based on quad trees. Nowadays,
Tolaniddin Nurmukhamedov +2 more
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Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang +6 more
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The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
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ACCELERATED FRACTAL ENCODING VIA DOMAIN CLASSIFICATION
The story of fractal image compression is that the image to be compressed is partitioned into many blocks (range pool). Domain pool is created from range pool. Then, each range block is compared with all domain blocks, searching for the best match. This
Ziyad T. Najim
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This stretchable active frequency selective fabric achieves reversible switching between bandstop and transparent states through strain‐induced reconfiguration of its conductive network. Its zero‐power and mechanically tunable characteristics offer potential for wearable electromagnetic functional materials.
Hao Feng +6 more
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A New hybrid Method for Noise Robust Estimation of Image Fractal Dimension
This paper presents a modified model to calculate the fractal dimension of digital images. The estimation of fractal dimensions is crucial to fractal analysis and is popularly carried out through methods based on box counting.
Saviz Ebrahimi +2 more
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An algorithm for seizure detection in rodents
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky +9 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
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ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh +3 more
wiley +1 more source
FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION
This research aims to use a number of special techniques for segmentation medical images through algorithm fractal segmentation as a new technical in the field of digital images segmentation .This is an important aspect in the field treatment ...
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