The entire success of software is impacted by software bug prediction (SBP), a crucial part of the software development and maintenance life cycles. It is necessary to anticipate issues in order to increase the softwa...
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According to research, characteristics taken from ultrasound imaging may help with atherosclerosis diagnosis and decision-making. Atherosclerosis is estimated by parameters like elasticity, stiffness, lumen diameter, ...
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Due to the difficulty and significance of the Internet of Things (IoT), the highest standards of data protection are essential to the successful growth of any smart city or technical endeavour that relies on the IoT. ...
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According to research, characteristics taken from ultrasound imaging may help with atherosclerosis diagnosis and decision-making. Atherosclerosis is estimated by parameters like elasticity, stiffness, lumen diameter, ...
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According to research, characteristics taken from ultrasound imaging may help with atherosclerosis diagnosis and decision-making. Atherosclerosis is estimated by parameters like elasticity, stiffness, lumen diameter, distension and IMT which can be used as an indicator of cardiovascular disease. Experienced radiologists are required to measure these parameters from the ultrasound images for the correct diagnosis. If a system could be automated to measure these parameters and thereby diagnose the CVDs, no doubt that this would be a milestone in the efforts taken to prevent cardiovascular disease. With the use of machine learning techniques, the classification of CCA anomalies from longitudinal ultrasonography B-mode images is progressed in this research. Acquisition of CCA images is done by ultrasound machine. For the segmentation of the layers of CCA, thresholding and other edge detection methods are used in spatial domain. Statistical, size and shape measurements are done from normal and abnormal images and features are identified.
Due to the difficulty and significance of the Internet of Things (IoT), the highest standards of data protection are essential to the successful growth of any smart city or technical endeavour that relies on the IoT. ...
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Due to the difficulty and significance of the Internet of Things (IoT), the highest standards of data protection are essential to the successful growth of any smart city or technical endeavour that relies on the IoT. This paper focuses on the efficient security management techniques for IoT that can be applied in smart city, smart homes, industry and many applications. Initially, an introduction to IoT and Blockchain as security methods are discussed, as well as the sensors and wireless sensor networks associated with IoT are also introduced. A comprehensive survey on IoT and its security issues are presented. IoT concerns about privacy and security are a necessary procedure as well as a difficult challenge for researchers. The blockchain technology enhanced and motivated the recent security parameters and it has been validating various technical sectors since its inception.
Crank Shaft is one of the important components of an IC Engine. As the mechanical property of the crankshaft directly influence the trustability and longevity of the engine, the rigidity of the crankshaft acted upon b...
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Crank Shaft is one of the important components of an IC Engine. As the mechanical property of the crankshaft directly influence the trustability and longevity of the engine, the rigidity of the crankshaft acted upon b...
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Crank Shaft is one of the important components of an IC Engine. As the mechanical property of the crankshaft directly influence the trustability and longevity of the engine, the rigidity of the crankshaft acted upon by the alternative loads must be guaranteed in design. So it is required very much to untangle the model of crankshaft through the stress analysis using ANSYS software. In this paper, first the 3D model of the engine parts are built in the software ‘CATIA V5’ and are then transferred to ‘ANSYS’. The analysis of crank throw distortion and stress provides a conceptual support to enhance the design by weigh reduction.
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