Superconducting quantum circuit interfacing frequently entails working with multi-GHz radio frequency signals. The quickly evolving field relies on FPGA-based software-defined radio systems, providing the required fle...
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ISBN:
(纸本)9798331541378
Superconducting quantum circuit interfacing frequently entails working with multi-GHz radio frequency signals. The quickly evolving field relies on FPGA-based software-defined radio systems, providing the required flexible low -latency signal synthesis and analysis capabilities. Consequently, there are many custom hardware developments and upcoming commercial systems with proprietary interfaces. In contrast, this contribution presents a compact, platform -agnostic frequency conversion and level matching analogue front-end for 800 MHz vector signal generation, which expands the covered frequency band for any SMA connectorised system from baseband frequencies below 400MHz to 4-10 GHz. It is in active use for quantum bit characterisation and for quantum sensor readout.
In geotechnical coastal engineering, estimates of ground settlement of reclaimed land can be challenging especially those made from heterogeneous compressible fill materials. Boreholes conducted to retrieve soil sampl...
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作者：
Chahar, SumanSingh, Satyaveer
Mullana Ambala India
Department of computer science and engineering Mullana Haryana Ambala India
The dynamism of web technologies and the emergence of advanced and intricate web applications strongly call for the definition of the software development life cycle paradigms from the perspective of web engineering d...
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ISBN:
(纸本)9798350390179
The dynamism of web technologies and the emergence of advanced and intricate web applications strongly call for the definition of the software development life cycle paradigms from the perspective of web engineering discipline. Hybrid models like Waterfall, V-Model and Iterative Development have been in use for formal software development while recent development methodologies are Agile. Yet, these models need to be assessed and adapted for the web engineering contexts to fit problems that are specific to web application development, for example, rapid development cycles, high user interaction, the need for scalability and constantly shifting security requirements. This paper, introduces five fundamental SDLC models of web engineering, namely the Waterfall model, V-Model, Spiral model, Agile, and DevOps. It also discusses how developments on basic web engineering components such as client-server model, crossplatform Web, rapid prototyping, and continuous deployment map to various phases of the Web SDLC namely requirement analysis, design, construction, testing, and maintenance. Upon reviewing the strengths and weaknesses of each model as applied to web development, this paper introduces a new approach that combines the best elements of Agility and conventional models into a single framework competent for modern web applications. Hence, the paper endeavors to understand how Web engineering can improve on traditional SDLC models with the ultimate vision of presenting an optimal paradigm for web application *** key theme of this paper is the need to adapt SDLC models to meet the need of Web applications that require integration, flexibility, and usability. Web applications meet complex and dynamic requirements;therefore, web engineering principles have to be created as scalable, secure, and dynamically adaptive to multi-plenary devices and platforms, which mandate iterative and adaptive life cycles. Having evaluated how SDLC models address these require
This work concerns defect detection in additively manufactured Ti6AlaV plate by measuring its dynamic behaviour. Digital image correlation (DIC) technique was used to measure full-field vibration-response. Typically, ...
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Quantum network simulation is an essential step towards developing applications for quantum networks and determining minimal requirements for the network hardware. As it is with classical networking, a simulation ecos...
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ISBN:
(纸本)9798350368482;9798350368475
Quantum network simulation is an essential step towards developing applications for quantum networks and determining minimal requirements for the network hardware. As it is with classical networking, a simulation ecosystem allows for application development, standardization, and overall community building. Currently, there is limited traction towards building a quantum networking community-there are limited open-source platforms, challenging frameworks with steep learning curves, and strong requirements of softwareengineering skills. Our Quantum Network Development Kit (QNDK) project aims to solve these issues. It includes a graphical user interface to easily develop and run quantum network simulations with very little code. It integrates various quantum network simulation engines and provides a single interface to them, allowing users to use the features from any of them. Further, it deploys simulation execution in a cloud environment, offloading strong computing requirements to a high-performance computing system. In this paper, we detail the core features of the QNDK and outline the development roadmap to enabling virtual quantum testbeds.
Reliable monitoring for fast manufacturing processes, such as resistance spot welding is quite challenging in the face of uncertainties, process drift and long model evaluation times. It is however an essential basis ...
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In general, educational support with Large Language Models (LLMs) faces challenges in knowledge organization, expertise integration, and contextual adaptation. So, we present EduMAS, a novel multi-agent framework that...
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The research of power knowledge graph has become a hot spot in academia and industry. It has achieved fruitful results in the past few years, mainly in the power equipment fault diagnosis, the extraction and analysis ...
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In this article the authors consider the problem of training qualified specialists to work in the digital economy at the current level of higher education development. The authors study the very concept of "compe...
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we propose a cutting-edge solution that leverages passive adaptive methods based on ensemble learning to effectively detect anomalous traffic in data streams. Our approach tackles the issue of concept drift by integra...
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