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Thin Film Transistor

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ISBN: 9783039215263 / 9783039215270 Year: Pages: 108 DOI: 10.3390/books978-3-03921-527-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Electrical and Nuclear Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Recently, new wide-band energy gap semiconductors can be grown by ALD, PLD, sputtering, or MOCVD. They have great potential for the fabrication and application to TFTs. Inorganic semiconductors have good stability against environmental degradation over their organic counterparts, whereas organic materials are usually flexible, transparent, and when solution-processed at low temperatures, are prone to degradation when exposed to heat, moisture, and oxygen. For this Special Issue, we invited researchers to submit papers discussing the development of new functional and smart materials, and inorganic as well as organic semiconductor materials, such as ZnO, InZnO, GaO, AlGaO, AnGaO, AlN/GaN, conducting polymers, molecular semiconductors, perovskite-based materials, carbon nanotubes, carbon nanotubes/polymer composites, and 2D materials (e.g., graphene, MoS2) and their potential applications in display drivers, radio frequency identification tags, e-paper, gas, chemical and biosensors, to name but a few.

Image Processing Using FPGAs

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ISBN: 9783038979180 / 9783038979197 Year: Pages: 204 DOI: 10.3390/books978-3-03897-919-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-06-26 08:44:06
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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.

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