FABRICATION OF HIGH-PERFORMANCE GE-MOS STRUCTURE USING TIO2 INSERTED LAYER IN GATE INSULATOR FOR HIGH SPEED SWITCHING DEVICE
Published In: 10TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): DAICHI HASEGAWA , KENICHIRO TOYODA , RYUICHIRO WATANABE , TOMO UENO , YOSHITAKA IWAZAKI
Abstract: In recent years, combination of high mobility (High- μ) materials and high dielectric constant (High-k) insulating films has attracted attention as a technique for future switching devices such as high speed switching, low voltage operation and so on. Using a Ge substrate having higher carrier mobility than that of Si as a high-μ material, it is expected that the operation speed of the device will be increased. On the other hand, it is necessary to introduce a high-k material, for example HfO2, Al2O3, in order to increase the capacitance value while maintaining the insulating film thickness, and the like have been studied so far. However, it is difficult to obtain good interface characteristics by direct deposition of HfO2 or Al2O3 on Ge substrates. In this study, we tried to introduce another high dielectric constant material TiO2, whose dielectric constant value is approximately 15 times higher(~60) than that of SiO2(~3.9). However, the energy band gap of TiO2 is very small at 3.2
- Publication Date: 15-Mar-2020
- DOI: 10.15224/978-1-63248-172-6-08
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STABLE PATH SELECTION NODES BASED ON REINFORCEMENT LEARNING ALGORITHM TO ENHANCE THE NODE AND LINK STABILITY IN MANET
Published In: 10TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): G SULAKSHANA , M.V.BRAMHANANDA REDDY , MAMUTHA , MS DEEPTHI REDDY
Abstract: In MANET the route discovery in AODV (Ad hoc on demand distance vector routing protocol) is performed on demand and it involves flooding the route request packet. The existing path may be unavailable as the node moves out of coverage due to its rapid node mobility or node fail as it energy level is drained. The proposed system implemented by a Reinforcement Learning using machine learning in which establishing the stable path by selecting these nodes that have node and link stability. A node performs the activity as action and a state. Action is apply the external condition and when given condition is satisfying than it provides reward is a state. This process will eliminate re-route discovery process and there by reduces additional routing overhead caused by the re route discovery. It provides a high degree of stability, increases packet delivery ratio and reduces routing overhead and delay
- Publication Date: 15-Mar-2020
- DOI: 10.15224/978-1-63248-172-6-09
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- Downloads: 0