A digital-based method was proposed to address challenges in large-scale segmented hull automated spraying workshops, such as the production of toxic gases and solid particles during operations, hindering real-time mo...
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In the Big Data Age, the company's financial management is confronted with a bigger challenge. In the face of the growing quantity of data, financial managers have difficulty providing the related information quic...
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An analysis-use-case dependent modeling approach for the computersimulation of hybrid AC-DC grids employing component models with varying degrees of complexity is presented. Three different component model complexity...
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This paper focuses on the combined use of eXtended Reality and simulation to improve awareness and confidence in Container Terminal Operations by tailoring a simulation Systems. Experimentation is proposed as example ...
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This paper focuses on the combined use of eXtended Reality and simulation to improve awareness and confidence in Container Terminal Operations by tailoring a simulation Systems. Experimentation is proposed as example of the benefits achievable by training virtually operators in this context. The complexity of Port Operations creates a quite dangerous environment where the highly competitive business sector push to increase speed of operations and flows. In additions Port Terminals involve many actors that have to work and interoperate within a multi domain environment, outdoor all around the clock along the year in an almost all-weather context. Ports are growing getting encapsulated within major city that over time turn to be megacities creating additional challenges especially in terms of Safety and Security that require to operate with high performance in a safe framework. The automation obviously is crucial to further increase operations, therefore up to know the human component is still quite critical for many ancillary activities as well as often on main and secondary ones due to the flexibility and reliability required. This aspect could suggest a big potential for Industry 4.0 and its future evolution in this field as well as a continuous struggling with the very conservative mentality of Shipping and Maritime Operations relying in Systems able to operate in the previous mentioned conditions. Indeed, Training and Education are crucial to face these challenges and make it possible to introduce new technologies, policies and approaches in the very strategic field of Port Activities. The authors propose an experimentation carried out to demonstrate the potential to move training and education on virtual interactive solutions based on MS2G paradigm (modeling, interoperable simulation and Serious Games) by tailoring a simulation System on specific criticalities (c) 2023 The Authors. Published by Elsevier B.V.
Agent-based modeling (ABM) is a powerful simulation methodology employed to analyze complex systems by representing individual entities, known as agents, which interact autonomously within a defined set of rules. This...
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In the present study we present a numerical modeling of a laminate magnetic material using an homogenization technique which exploit an inverse problem resolution. The laminate magnetic material is consisting of an al...
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The modeling and simulation of Deep Learning Training (DLT) are challenging problems. Due to the intricate parallel patterns, existing modelings and simulations do not consider enough factors that influence the traini...
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ISBN:
(数字)9789819708628
ISBN:
(纸本)9789819708611;9789819708628
The modeling and simulation of Deep Learning Training (DLT) are challenging problems. Due to the intricate parallel patterns, existing modelings and simulations do not consider enough factors that influence the training, which brings inaccuracy for the prediction of DLT time. To address these rising challenges, we propose DeletePop, a Deep Learning Training Execution time Predictor based on comprehensive modeling at the Operator level. It systematically abstracts the process of DLT by dividing it into computation, memory access, and communication three parts. DeletePop could predict the Job Execution Time (JET) according to the operator dataset obtained from the homogeneous network. Finally, we integrate the DeletePop into a Job Scheduling Simulator (JSS) DLTSim to make support more efficient scheduling. Although the implementation of DeletePop is based on the TensorFlow framework, the theoretical model could adapt to any other frameworks that use static graphs. DeletePop achieves up to 90% accuracy for Homogeneous Networks, and we also provide the theoretical manners to add support for Heterogeneous Networks.
Aiming at the optimization design of steel cutting, which needs to meet different types of orders and quantity requirements, in order to minimize the number of raw materials used, maximize order fulfillment, reduce th...
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Training to initial device configuration and use of Packet Tracer network simulation software are reviewed in the article. The various types of router and switch interfaces are described and the main methods of access...
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The escalating prevalence of violent threats necessitates proactive security measures to safeguard human life. Within the realm of artificial intelligence (AI), computer vision has emerged as a pivotal tool, leveragin...
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