Cities are complex systems that develop under complicated interactions among their human and environmental *** generates substantial outcomes and opportunities while raising challenges including congestion,air polluti...
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Cities are complex systems that develop under complicated interactions among their human and environmental *** generates substantial outcomes and opportunities while raising challenges including congestion,air pollution,inequality,etc.,calling for efficient and reasonable solutions to sustainable ***,booming technologies generate large-scale data of complex cities,providing a chance to propose data-driven solutions for sustainable urban *** paper provides a comprehensive overview of data-driven urban sustainability *** this review article,we conceptualize MetaCity,a general framework for optimizing resource usage and allocation problems in complex cities with data-driven *** this framework,we decompose specific urban sustainable goals,e.g.,efficiency and resilience,review practical urban problems under these goals,and explore the probability of using data-driven technologies as potential solutions to the challenge of *** the basis of extensive urban data,we integrate urban problem discovery,operation of urban systems simulation,and complex decision-making problem solving into an entire cohesive framework to achieve sustainable development goals by optimizing resource allocation problems in complex cities.
Fast simulation of the energy depositions in high-granular detectors is needed for future collider experiments at ever-increasing luminosities. Generative machine learning (ML) models have been shown to speed up and a...
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The demands placed on computational resources by the simulation requirements of high energy physics experiments motivate the development of novel simulation tools. Machine learning based generative models offer a solu...
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This study proposes a new prairie dog optimization algorithm version called EPDO. This new version aims to address the issues of premature convergence and slow convergence that were observed in the original PDO algori...
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Although the OpenCL platform guarantees the portability of the written kernels among heterogeneous devices, performance on the other hand is far from comparable between them. Differences in performance between devices...
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ISBN:
(纸本)9781665427159
Although the OpenCL platform guarantees the portability of the written kernels among heterogeneous devices, performance on the other hand is far from comparable between them. Differences in performance between devices like the CPU, GPU and FPGA are related to the nature of the computation models and the underlying hardware architecture that has already been established, specially For FPGA migrated kernels, where performance is left to the user to optimize for the desired requirements, which requires both time and experience. This study introduces an automated optimization strategy of OpenCL kernel targeting the FPGA. The strategy aware of the resource constrained environment, focuses on the loop pipelining, loop unrolling and array partitioning in a cooperative manner, to produce an efficient kernel implementation. experimental results shows that speed ups could reach up to 126.96x the original performance within less than 400 ms of time cost for the developed tool.
Simulating showers of particles in highly-granular detectors is a key frontier in the application of machine learning to particle physics. Achieving high accuracy and speed with generative machine learning models woul...
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In the quest to build generative surrogate models as computationally efficient alternatives to rule-based simulations, the quality of the generated samples remains a crucial frontier. So far, normalizing flows have be...
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As a novel way of presenting information, augmented reality (AR) enables people to interact with the physical world in a direct and intuitive way. While there are some mobile AR products implemented with specific hard...
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Environmental factors, including pH, can affect the efficacy of doxorubicin, a chemotherapeutic drug that is frequently used. This study employs molecular dynamics modeling to investigate the correlation between doxor...
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