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Forests are one of the most important natural resources on this earth and they offer huge potential share in our GDP by producing many consumables. This paper deals with the detection of fire smoke plume in forests using Unmanned Aerial Vehicle (UAV) and then sending immediate information to EFS&T inorder to protect our forests. Because it prevents the spreading of fire in forest and also gives...
It is very much difficult to call the patient every time to have EEG test, when a physician wants to examine the outcome of the diagnosis. Currently, there are many data acquisition schemes for monitoring the signals from the psyche and designed to perform EEG in the Recording Room. But, this system extends a design of portable circuitry for rapid and convenient use in health care. High gain precision...
Estimation of vehicle attitude during autonomous flying of Unmanned Aerial Vehicles (UAVs) can be performed with Global Positioning System (GPS). But when vehicle is flying this method results in error, hence another approach i.e., Direction Cosine Matrix (DCM) is used. But while extracting attitude (Euler Angles) of UAVs with DCM creates a drawback known as Gimbal lock which is also known as singularity...
Accessing end devices (nodes) in the Internet of things (IoT) with a uniquie IP address is possible with the evolution IPv6 and 6LoWPAN. 6LoWPAN stands for IPv6 over a Low Power WPAN, which is a open stack developed by IETF to provides communication between LoWPAN devices and the internet. 6LoWPAN Border Router (6LBR) is gateway between nodes and internet, which connects 6LoWPAN devices to the Internet...
Electroencephalogram (EEG) is the most efficient medical imaging tool to analyze and interpret the characteristics of the brain disorder which helps the physician to diagnose the brain disorder patient. EEG signal is a representation of electrical activity over the surface of the brain with respect to time, this electrical activity is caused by the firing of neurons. If these neurons fire in anomalous...
Electroencephalogram (EEG) is an important medical imaging tool which reflects the electrical activity in the brain. It is recorded over the surface of the brain with respect to time. EEG draws potential from the electrodes which are placed on the scalp, this happens due to the firing of the neurons. These signals are in the order of microvolt shows as low amplitude, which are very much prone to the...
Image segmentation plays an important role in the processing of medical images. Segmentation of medical images is a challenging task due to the poor image contrast and the diffusion of organs or tissue boundaries. Due to the emergence of new trends in the engineering technologies many medical diagnosis methods are automated using the image processing principles. Hence in this paper hardware implementation...
Image enhancement techniques improve the visibility of the images. Enhancement results, the output image is more suitable for a specific application rather than input image. It is used in many image processing applications like medical imaging, SONAR and RADAR as a preprocessing step. Hence this paper presents the hardware co-simulation and implementation of image enhancement algorithms into FPGA...
Image segmentation plays an important role in the processing of medical images. Segmentation of medical images is a challenging task due to the poor image contrast and the diffusion of organs or tissue boundaries. Due to the emergence of new trends in the engineering technologies many medical diagnosis methods are automated using the image processing principles. Hence in this paper hardware implementation...
In general many real time problems are represented with random variables. But a random variable is characterized by a Probability Density Function(PDF). As per the Central Limit Theorem any stochastic process handled with many random variables can be converged as a normal distribution. Hence normal distribution plays a key role in modeling real time problems contains many random variables. This paper...
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