A large part of the biomedical research spectrum is dedicated to develop electrocardiogram (ECG) signal processing techniques contribute early diagnosis. However, it common find that ECG analysis methods reported are confined off-line PC host operation. The authors present an arrhythmia classification method implemented on a Digital Signal Processing (DSP) platform intended for on-line, real-time ambulatory operation classify eight heartbeat conditions: normal sinus rhythm (N), auricular...

The proliferation of cyber-physical systems is driving the growing need to establish links between these and virtual environments. Particularly in smart grid, high costs some devices imminent prevent manipulation production environments make mechanisms that allow physical objects necessary; this has been called a digital twin (DT). Conversley, cyberattacks are all cybersecurity essential critical infrastructure grid. This work shows small implementation DT system for metering home...

The lowering cost of electricity generation technologies by renewable means has caused the role end-users to change from being a simple consumer producer their energy. This new been called prosumer and contributed modifying markets, allowing prosumers merchandize energy surplus companies other prosumers. fundamental key any economic transaction is trust between parties. Recently, technologies, such as blockchain, are transforming security, decentralization smart power grid. study presents...

In medical image processing, early detection of eye diseases like glaucoma is crucial to prevent blindness. This study evaluates two deep learning models—Support Vector Machine and U-Net—for classifying retinal fundus images improve detection. Using 316 from "The Brazil Glaucoma Database," the applied various preprocessing techniques such as resizing, grayscale conversion, edge enhancement. Optical disc cup segmentation was achieved with Hough transform circular masking. The SVM model...

The introduction of renewable energy sources, distributed systems, and power electronics equipment has led to the emergence Smart Grid. However, these developments have also caused worsening quality. Selecting correct sampling frequency feature extraction techniques are essential for appropriately analyzing quality disturbances. This work compares performance an algorithm based on a Support Vector Machine Discrete Wavelet Transform classification disturbances using eight rates five different...

Recently, video surveillance systems have evolved from expensive, human-operated monitoring that were only useful after the crime was committed to monitor 24/7, in real time, and with less human involvement. This is partly due use of smart cameras, improvement Internet, AI-based algorithms allow classifying tracking objects images some cases identifying them as threats. Threats are often associated abnormal or unexpected situations such presence unauthorized persons a given place...

This paper presents a comprehensive analysis of the effects noise on detection and localization faults in transmission lines compensated with unified power flow controller using traveling wave-based methods. study focuses impact harmonic transient noises, which are inherent to generation, transmission, UPFC operation. A novel algorithm is proposed combining Discrete Wavelet Transform Clarke detect localize under various conditions. The tested simulated line model MATLAB/Simulink (Version...

Abstract In recent years, electrical impedance tomography (EIT) has gained significant relevance in research, agriculture, and biomedicine. To meet the specific needs of each application, specialized systems algorithms have been developed. Evaluating their performance is crucial for improvement effective application. This work presents a methodology evaluation EIT using mathematical tools such as Pearson Correlation Coefficient (PCC) Root Mean Square Error (RMSE). These metrics quantify...

Smart metering is among the most important current and future trends in smart grid development. Utility companies spearheading meter revolution claim many benefits for end-user. One of key information technology solutions applied to meters ensuring data protection cybersecurity. Nowadays, tampering a big issue utilities end-users. In particular, advent secure monetary transactions has inspired diversification blockchains as means provide cybersecurity encourage end-user trust. The blockchain...

This work studies the efficiency and long-term viability of powered hydrogen production. For this purpose, a detailed exploration production techniques has been undertaken, involving data collection, information authentication, organization, analysis. The trends, environmental impact, costs in landscape marked by limited availability were investigated. main contribution is to reduce existing gap field compiling summarizing dispersed data. findings are expected facilitate decision-making...

The smart grid revolution has only been possible, thanks to the development and proliferation of meters. increasingly growing computing capabilities for Internet Things devices have made it possible data be processed directly from where is produced; this called edge computing. Edge allowing become intelligent solve problems that make electricity consumption more efficient environmentally friendly. This work presents implementation a metering system allows analytics using multiprocessing...

This paper proposes a fault detection and localization method for power transmission lines with Static Synchronous Series Compensator (SSSC). The algorithm is based on applying m ...

The physicochemical characterization of pharmaceutical materials is essential for drug discovery, development and evaluation, understanding predicting their interaction with physiological systems. Amongst many measurement techniques spectroscopic materials, Electrical Impedance Spectroscopy (EIS) powerful as it can be used to model the electrical properties pure substances compounds in correlation specific chemical composition. In particular, accurate drugs important evaluating interaction....

Efficient medical information management is essential in today’s healthcare, significantly to automate diagnoses of chronic diseases. This study focuses on the automated identification diabetic patients through a clinical note classification system. innovative approach combines rules, extraction, and machine learning algorithms promise greater accuracy adaptability. Initially, four evaluated showed similar performance, with Gradient Boosting standing out an 0.999. They were tested our...

This paper describes a method for detecting, localizing, and classifying fault events in high voltage transmission lines with Unified Power Flow Controller compensation. The proposed approach employs single-end that uses the discrete wavelet transform combination probabilistic neural network. analysis of interaction UPFC signals traveling waves is presented. results error location are obtained three different inception angles, values resistance compensation levels. indicate algorithm...