The Internet of Things is a network of physical objects like sensors, actuators, and software. The purpose of connecting is to exchange data with other objects and systems over the internet, enabling us to enhance dat...
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The integrated monitoring system for rail transit is a highly complex control and supervision system used for the regulation and control of various facilities and services in the rail transit network. Due to its high ...
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Science ecosystems are being built by federating computing systems and instruments located at geographically distributed sites over wide-area networks. These computing-instrument ecosystems are expected to support com...
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ISBN:
(纸本)9783031236051;9783031236068
Science ecosystems are being built by federating computing systems and instruments located at geographically distributed sites over wide-area networks. These computing-instrument ecosystems are expected to support complex workflows that incorporate remote, automated AI-driven science experiments. Their realization, however, requires various designs to be explored and software components to be developed, in order to support the orchestration of distributed computations and experiments. It is often too expensive, infeasible, or disruptive for the entire ecosystem to be available during the typically long software development and testing periods. We propose a Virtual Infrastructure Twin (VIT) of the ecosystem that emulates its network and computing components, and incorporates its instrument software simulators. It provides a software environment nearly identical to the ecosystem to support early development and testing, and design space exploration. We present a brief overview of previous digital infrastructure twins that culminated in the VIT concept, including (i) the virtual science network environment for developing software-defined networking solutions, and (ii) the virtual federated science instrument environment for testing the federation software stack and remote instrument control software. We briefly describe VITs for Nion microscope steering and access to GPU systems.
In this paper, a new scheme, named after parallel quadrature index modulation (PQIM) with transmit diversity, is proposed to not only greatly increase the spectral efficiency but also achieve the transmit diversity ga...
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Portrait segmentation has become increasingly important for video conferencing software. However, existing methods fail to produce consistent and accurate segmentation of in-hand objects due to the weak connection in ...
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Context and motivation: Large language models (LLMs) are increasingly used to address requirements engineering (RE) tasks, including trace-link recovery, legal compliance, model generation, and others. Question/proble...
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A business application is related to everything that helps improve the business flow of a company, optimizing its processes and strategies. In this paper we discuss the project that was put into practice with a busine...
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The combination of pre-trained language models (LM) and knowledge graphs (KG) can enhance the reasoning ability for Question Answering. However, previous methods typically fuse the two modalities in a shallow or knowl...
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Real-time control software and hardware is essential for operating quantum computers. In particular, the software plays a crucial role in bridging the gap between quantum programs and the quantum system. Unfortunately...
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ISBN:
(数字)9781665491136
ISBN:
(纸本)9781665491136
Real-time control software and hardware is essential for operating quantum computers. In particular, the software plays a crucial role in bridging the gap between quantum programs and the quantum system. Unfortunately, current control software is often optimized for a specific system at the cost of flexibility and portability. We propose a systematic design strategy for modular real-time quantum control software and demonstrate that modular control software can reduce the execution time overhead of kernels by 633% on average while not increasing the binary size. Our analysis shows that modular control software for two distinctly different systems can share between 49.8% and 91.0% of covered code statements. To demonstrate the modularity and portability of our software architecture, we run a portable randomized benchmarking experiment on two different ion-trap quantum systems.
Asynchronous Graph Neural Network (AGNN) has attracted much research attention because it enables faster convergence speed than the synchronous GNN. However, existing software/hardware solutions suffer from redundant ...
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