280 research outputs found

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Various Applications of Methods and Elements of Adaptive Optics

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    This volume is focused on a wide range of topics, including adaptive optic components and tools, wavefront sensing, different control algorithms, astronomy, and propagation through turbulent and turbid media

    Security and Privacy for Modern Wireless Communication Systems

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    The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks

    LIPIcs, Volume 261, ICALP 2023, Complete Volume

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    LIPIcs, Volume 261, ICALP 2023, Complete Volum

    Heterogeneous photocatalysis in flow : technologies for accelerating sustainable synthesis

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    The global climate crisis has driven society to strive for sustainability across all industries in order to combat anthropogenic greenhouse gas emissions and pollution. For over a century, utilisation of solar irradiation has been an attractive but challenging solution to providing sustainable energy, leading to significant academic and industrial research and development of a wide range of light harvesting technologies, such as photovoltaics and, more recently, photocatalysis. Simultaneously, society is progressing rapidly towards a fourth industrial revolution, with automation, robotics, artificial intelligence, and machine learning being broadly adopted throughout industry and academic research. Within chemistry, these technologies are driving the development of automated synthesis platforms that can rapidly perform and analyse chemical reactions, quickly exploring a vast chemical space to find optimised conditions. Enabling technologies for synthesis, such as flow chemistry and in-line process analytical tools, are critical to these efforts as they provide the physical means to automate altering reaction conditions and data collection which enable machine learning algorithms to search chemical space and self-optimise. The combination of heterogeneous photocatalysis and enabling technologies is a promising strategy to provide sustainable and continuous photosynthetic processes for the chemical industry. However, the efficiency of heterogeneous photocatalysts remains a significant challenge that must be overcome through material design and reactor engineering. Within this thesis, we discuss our recent contributions to this field, including the development of new polymer-supported photocatalyst materials which share advantages of both homogeneous and heterogeneous photocatalysts. Additionally, we demonstrate enabling technologies such as flow chemistry, additive manufacturing, and in-line analysis as powerful tools for enhancing heterogeneous photocatalysis. Furthermore, we present the development of an entirely new technology for automated flow (photo)synthesis and purification: in-line flash chromatography

    Function Implementation in a Multi-Gate Junctionless FET Structure

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    Title from PDF of title page, viewed September 18, 2023Dissertation advisor: Mostafizur RahmanVitaIncludes bibliographical references (pages 95-117)Dissertation (Ph.D.)--Department of Computer Science and Electrical Engineering, Department of Physics and Astronomy. University of Missouri--Kansas City, 2023This dissertation explores designing and implementing a multi-gate junctionless field-effect transistor (JLFET) structure and its potential applications beyond conventional devices. The JLFET is a promising alternative to conventional transistors due to its simplified fabrication process and improved electrical characteristics. However, previous research has focused primarily on the device's performance at the individual transistor level, neglecting its potential for implementing complex functions. This dissertation fills this research gap by investigating the function implementation capabilities of the JLFET structure and proposing novel circuit designs based on this technology. The first part of this dissertation presents a comprehensive review of the existing literature on JLFETs, including their fabrication techniques, operating principles, and performance metrics. It highlights the advantages of JLFETs over traditional metal-oxide-semiconductor field-effect transistors (MOSFETs) and discusses the challenges associated with their implementation. Additionally, the review explores the limitations of conventional transistor technologies, emphasizing the need for exploring alternative device architectures. Building upon the theoretical foundation, the dissertation presents a detailed analysis of the multi-gate JLFET structure and its potential for realizing advanced functions. The study explores the impact of different design parameters, such as channel length, gate oxide thickness, and doping profiles, on the device performance. It investigates the trade-offs between power consumption, speed, and noise immunity, and proposes design guidelines for optimizing the function implementation capabilities of the JLFET. To demonstrate the practical applicability of the JLFET structure, this dissertation introduces several novel circuit designs based on this technology. These designs leverage the unique characteristics of the JLFET, such as its steep subthreshold slope and improved on/off current ratio, to implement complex functions efficiently. The proposed circuits include arithmetic units, memory cells, and digital logic gates. Detailed simulations and analyses are conducted to evaluate their performance, power consumption, and scalability. Furthermore, this dissertation explores the potential of the JLFET structure for emerging technologies, such as neuromorphic computing and bioelectronics. It investigates how the JLFET can be employed to realize energy-efficient and biocompatible devices for applications in artificial intelligence and biomedical engineering. The study investigates the compatibility of the JLFET with various materials and substrates, as well as its integration with other functional components. In conclusion, this dissertation contributes to the field of nanoelectronics by providing a comprehensive investigation into the function implementation capabilities of the multi-gate JLFET structure. It highlights the potential of this device beyond its individual transistor performance and proposes novel circuit designs based on this technology. The findings of this research pave the way for the development of advanced electronic systems that are more energy-efficient, faster, and compatible with emerging applications in diverse fields.Introduction -- Literature review -- Crosstalk principle -- Experiment of crosstalk -- Device architecture -- Simulation & results -- Conclusio

    Modelling, Monitoring, Control and Optimization for Complex Industrial Processes

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    This reprint includes 22 research papers and an editorial, collected from the Special Issue "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes", highlighting recent research advances and emerging research directions in complex industrial processes. This reprint aims to promote the research field and benefit the readers from both academic communities and industrial sectors
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