The widespread adoption of the FHE (Fully Homomorphic Encryption) CKKS (Cheon-Kim-Kim-Song) encryption algorithm is stunted by its slow software implementation, driving the need for efficient hardware acceleration sol...
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This paper presents a novel color image encryption technique using a 5D piecewise chaotic map. In recent years, image encryption has become crucial for securing multimedia data in various applications, especially in c...
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In the rapidly evolving landscape of software Defined Networks (SDNs), network security is of paramount importance. This research paper presents a comprehensive study on anomaly detection and traffic analysis in SDNs ...
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This research focuses on the evolving field of hybrid computing, which combines traditional computing architectures with advanced computational paradigms like quantum computing, neuromorphic computing, or cloud-edge c...
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ISBN:
(纸本)9798331515911
This research focuses on the evolving field of hybrid computing, which combines traditional computing architectures with advanced computational paradigms like quantum computing, neuromorphic computing, or cloud-edge computing. Hybrid computing involves integrating multiple computing models or systems to leverage their complementary strengths. For example, combining classical computing with quantum or neuromorphic approaches to solve complex problems more efficiently. The goal is to enhance computational power, increase efficiency, and tackle problems that are difficult for traditional computing models alone. Emerging technologies, including quantum computing, machine learning, and AI, are driving the need for hybrid systems. These technologies enable the handling of more complex computations that classical systems struggle with, such as optimization, simulation, and cryptography. The integration of cloud and edge computing is also central to hybrid computing, enabling decentralized computation and processing closer to data sources. Combining different computing paradigms requires seamless communication and integration between systems, which is a significant technical challenge. Main challenging areas are scalability, software and hardware compatibility, energy efficiency and security. There is a need for standard protocols and frameworks to enable smoother integration of various computing systems. New algorithms that can take advantage of hybrid architectures need to be developed. Depend on applications significant advancements in hardware, including quantum processors, neuromorphic chips, and integrated hybrid processors required. The rise of hybrid computing will also bring ethical concerns, such as the impact on jobs, privacy, and inequality in access to advanced technologies. The study concludes by emphasizing the transformative potential of hybrid computing while acknowledging the technical, economic, and societal hurdles that need to be overcome. It highlights
In modern education, learning Science, Technology, engineering, and Mathematics (STEM) has become an essential requirement. Physical computing, embedded systems, and Internet of Things (IoT) have been widely used in S...
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In this work, we focus on assisting users in finding information that may have been unintentionally overlooked. Our system supports not only experienced users but also newcomers to Video Browser Showdown systems, enab...
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Cooking requires the usage of various ingredients and cooking utensils. However, if we lack some of them due to insufficient preparation, we cannot cook as expected. In this paper, we propose a cooking suppo...
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In the contemporary context of quantum computing, the availability of quantum computing platforms through cloud services is increasing, which has democratized access to this technology. This is generating interest in ...
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ISBN:
(纸本)9789819608072;9789819608089
In the contemporary context of quantum computing, the availability of quantum computing platforms through cloud services is increasing, which has democratized access to this technology. This is generating interest in the industry and the scientific community. However, the increasing demand for access to quantum computers is facing limited resource availability, leading to prolonged waiting times for users and high execution costs. Leveraging the under-utilization, it has already been shown that it is possible to optimize the use of current QPUs by scheduling quantum tasks, and the generated noise does not significantly affect the results. This can be achieved concretely by combining circuits. To this end, the main objective of this work is to define and validate three circuit scheduling policies for the QCRAFT Scheduler, improving the efficiency of QPU utilization and reducing both waiting times and associated task execution costs. A validation of each of the policies has been performed, achieving an average cost reduction of 83.67% and an average task reduction of 84.20% concerning the single execution of the same circuits.
Sustainability has become a critical concern in today's world. The need for sustainable practices is increasing across all sectors of the world. The United Nations' Sustainable Development Goals (SDGs) provide...
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The software is a collection of single files or many files which contain source code. The advances in Machine Learning algorithms and methods have inspired investigators to use these technical advancements for softwar...
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