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The resistance switching performance of the memristor improved effectively by inserting carbon quantum dots(CQDs)for digital information processing

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Nano Research 2024年第9期17卷 8438-8446页

作者： Tianqi Yu Jie Li Wei Lei Suhaidi Shafe Mohd Nazim Mohtar nattha jindapetch Paphavee van Dommelen Zhiwei Zhao Joint International Research Laboratory of Information Display and Visualization School of Electronic Science and EngineeringSoutheast UniversityNanjing 210096China Institute of Nanoscience and Nanotechnology University Putra MalaysiaSerdangSelangor 43400Malaysia Department of Electrical Engineering Faculty of EngineeringPrince of Songkla UniversityHat YaiSongkhla 90112Thailand Division of Physical Science Faculty of SciencePrince of Songkla UniversityHat Yai Campus 15 KarnjanavanichHat YaiSongkhla 90110Thailand

As an emerging information device that adapts to development of the big data era,memristor has attracted much attention due to its advantage in processing massive ***,the nucleation and growth of conductive filaments often exhibit randomness and instability,which undoubtedly leads to a wide and discrete range of switching parameters,damaging the electrical performance of *** this work,a strategy of inserting carbon quantum dots(CQDs)into graphene oxide(GO)resistance layer is utilized to improve the stability of the switching parameters and the reliability of the device is *** with GO-based devices,GO/CQDs/GO-based devices exhibit a more stable resistance switching curve,low power,lower and more concentrated threshold voltage parameters with lower variation coefficient,faster switching speed,and more stable retention and *** cause-inducing performance improvement may be attributed to the local electric field generated by CQDs in resistance switching that effectively guides the formation and rupture of conductive filaments,which optimizes the effective migration distance of Ag^(+),thereby improving the uniformity of resistance ***,a convolutional neural network model is constructed to identify the CIFAR-10 data set,showing the high recognition accuracy of online and offline *** cross-kernel structure is used to further implement convolutional image processing through multiplication and accumulation *** work provides a solution to improve the performance of memristors,which can contribute to developing digital information processing.

关键词： carbon quantum dots memristor uniformity convolutional neural network convolutional image processing

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Design of an ADALINE Adaptive Filter Based Noise Cancellation Based on Fine-Grained Pipelines

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通讯和计算机（中英文版） 2012年第2期9卷 200-207页

作者： nattha jindapetch Pomchai Phukpattaranont Krerkchai Thongnoo Department of Electrical Engineering Faculty of Engineering Songkla University Hat Yai Songkhla 90112 Thailand

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Emissions of particulate matter and associated polycyclic aromatic hydrocarbons from agricultural diesel engine fueled with degummed,deacidified mixed crude palm oil blends

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Journal of Environmental Sciences 2013年第4期25卷 751-757页

作者： Khamphe Phoungthong Surajit Tekasakul Perapong Tekasakul Gumpon Prateepchaikul Naret jindapetch Masami Furuuchi Mitsuhiko Hata Department of Chemistry and Center of Excellence for Innovation in Chemistry(PERCH-CIC) Faculty of SciencePrince of Songkla UniversityHat YaiSongkhla 90112Thailand Energy Technology Research Center and Department of Mechanical Engineering Faculty of EngineeringPrince of Songkla UniversityHat YaiSongkhla 90112Thailand National Center of Excellence for Environmental and Hazardous Waste Management(EHWM) Southern Consortium Universities at Prince of Songkla University Hat YaiSongkhla 90112Thailand Graduate School of Natural Science and Technology Kanazawa UniversityKakuma-machiKanazawa 920-1162Japan

Mixed crude palm oil （MCPO）, the mixture of palm fiber oil and palm kernel oil, has become of great interest as a renewable energy source. It can be easily extracted from whole dried palm fruits. In the present work, the degummed, deacidified MCPO was blended in petroleum diesel at portions of 30% and 40% by volume and then tested in agricultural diesel engines for long term usage. The particulates from the exhaust of the engines were collected every 500 hr using a four-stage cascade air sampler. The 50% cut-off aerodynamic diameters for the first three stages were 10, 2.5 and 1μm, while the last stage collected all particles smaller than 1 μm. Sixteen particle bounded polycyclic aromatic hydrocarbons （PAHs） were analyzed using a high performance liquid chromatography. The results indicated that the size distribution of particulate matter was in the accmnulation mode and the pattern of total PAHs associated with fine-particles （〈 1 μm） showed a dominance of larger molecular weight PAHs （4--6 aromatic rings）, especially pyrene. The mass median diameter, PM and total PAH concentrations decreased when increasing the palm oil content, but increased when the running hours of the engine were increased. In addition, Commercial petroleum diesel （PB0） gave the highest value of carcinogenic potency equivalent （BaPeq） for all particle size ranges. As the palm oil was increased, the; BaPeq decreased gradually. Therefore the degununed-deacidified MCPO blends are recommended for diesel substitute.

关键词： mixed crude palm oil palm oil blend agricultural diesel engine potycyclic aromatic hydrocarbon particulate matter

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