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Programming

WoundKare: An Augmented Reality-Based Intelligent Wound Management System Using DeepSkin Analytics

Author: Waqas Javaid

Abstract

Older wounds have increasing concerns in age care facilities due to low mobility, poor circulation and delay in the treatment associated with older population. For effective treatment, it is important to evaluate the wound’s accurate and timely but traditional wound management methods, is more dependent on subjective visual evaluation of health workers. This article Woundkare presents a new mobile-based application that integrates the improved reality (AR) with intensive learning model-dipped skin front wound detection, tissue classification and for tissue classification and dimensional analysis [1] [8]. By allowing patients or caregivers to upload wound images through user -friendly interfaces, the system automatically identifies the boundaries of the wound and classifies the tissue in the wound to a clinically relevant categories: necrotic (black), slowly (yellow/green), epithelialization (pink) and forms (red). In addition, this calculates significantly wounded matrix such as length, width, area and volume. This purpose and automated solution are designed to make clinical decisions, reduce clinical variability and improve treatment outcomes through data -driven monitoring. In the age of care, the utility of the application is particularly emphasized, where the wound is high and persistent clinical assessment may not be possible.

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Why Software Architecture Matters?

“Software architecture is the set of structures needed to reason about a software system and the discipline of creating such structures and systems. Each structure comprises software elements, relations among them, and properties of both elements and relations”. ( Wikipedia: https://en.wikipedia.org/wiki/Software_architecture )

While this is a rather general description of what Software Architecture is about, let me give you a little bit more insight from my own experience.

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Simulating Renewable Energy Systems Using Simulink: A Practical Approach with Design a Large Battery Storage System

This MATLAB Simulink model presents the design and implementation of a Large Battery Energy Storage System (BESS) aimed at alleviating peak power demands in Colombo, Sri Lanka. The system utilizes grid-forming control to facilitate power injection during peak times and incorporates a battery management system (BMS) for efficient operation. Additionally, a photovoltaic (PV) system is integrated to supplement power generation. The model encompasses various components such as converters, filters, and controllers to regulate power flow and ensure seamless integration with the grid. Detailed simulations evaluate system performance, validating the effectiveness of peak shaving strategies and compliance with relevant industry standards like IEEE 1547-2018 and IEEE 2030.2.1-2019. Results indicate successful peak shaving functionality and highlight the impact of time delays on system dynamics.

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