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Stroke has a significant socioeconomic impact on the world. Ischemic strokes arise when a blood clot (also known as "thrombi") or a fatty plaque (made up of fat residue, cholesterol, and waste particles) blocks the blood supply to a part of the brain, killing the neurons in that area (brain cells). The majority of stroke patients will survive the first sickness, the long-term implications for individuals generally have the largest impact on their health and may also lead to larger numbers of death. So, the prior detection of stroke is necessary to prevent the condition. A cloud-based Stroke prediction system has been presented to identify Stroke using a Machine learning approach in order to diagnose it at an early stage. The intention of the design is to use the convolution neural network (CNN) algorithm to design an automated early ischemic stroke disclosure system. The major goal of using CNN is to accurately detect a stroke and alert the doctor or career as soon as possible.
It is an important and essential duty to look after the health and maintain the charging stations for the better utility. On the other the energy usage should be in manner that maintains a sustainable development. This project proposes a method which power up the charging station in two ways which promotes sustainable development also the excess of the power is converted to AC supply and can be utilized by the people. This prototype model works using microcontroller board. The technology and the science behind WPT and the future scope is discussed in detail. While a lot of research has been done on this topic in the previous decade, a large part of it is yet to be explored. The topics further discussed are the Roadway Powered Electric Vehicles and the Online Electric Vehicles. These vehicles can revolutionise the transport system. But they require high initial investment. Further discussion on the Solar Power Satellite which aims at transmitting the solar energy and using it for wireless power transmission is done. The attempts to commercialize the vehicles that use WPTs are going on with full force and we also discuss the advantages and the disadvantages for the same.
This book presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss, reactive power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously re-configure and identify the optimal locations for installation of DG units in a distribution network. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on 33- bus radial distribution systems.
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