This paper introduces a novel simulation tool for analyzing and training neural network models tailored for compute-in-memory hardware. The tool leverages physics-based device models to enable the design of neural net...
In the context of cloud-native environments, establishing and maintaining trust for dynamically migrating contain-ers is a crucial concern. The existing container live migration schemes often lack sufficient support f...
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This study introduces the Inventive Creation Score (SCI) Framework to address the gap in quantitatively evaluating the inventiveness of generative artificial intelligence (AI) systems. The SCI Framework combines dimen...
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This study introduces the Inventive Creation Score (SCI) Framework to address the gap in quantitatively evaluating the inventiveness of generative artificial intelligence (AI) systems. The SCI Framework combines dimensional analysis and expert validation to quantify key components of creativity-novelty, originality, functionality, and relevance-into a comprehensive evaluation model. Preliminary results indicate the framework effectively differentiates levels of inventiveness in AI-generated outputs, providing insights into optimizing AI for inventive tasks. Future research will refine the SCI Framework through broader empirical testing and feedback from diverse creative fields. The framework aims to guide developers in enhancing AI's creative capabilities and assist practitioners in selecting appropriate AI tools. This research underscores AI's potential as a collaborative partner in creativity, shifting perceptions from AI as an "automaton" to a creative collaborator. The SCI Framework offers a standardized method for evaluating AI's inventiveness, supporting advancements in AI-driven innovation.
The proceedings contain 85 papers. The special focus in this conference is on Digital Human modeling and Applications in Health, Safety, Ergonomics and Risk Management. The topics include: A Smart Sensor Suit (SSS) to...
ISBN:
(纸本)9783031357404
The proceedings contain 85 papers. The special focus in this conference is on Digital Human modeling and Applications in Health, Safety, Ergonomics and Risk Management. The topics include: A Smart Sensor Suit (SSS) to Assess Cognitive and Physical Fatigue with Machine Learning;application of Ramsis Digital Human modeling to Human Factors in Space;ergonomics Research of Domestic Vehicle Cab Central Control System Based on Entropy Method;investigating the Time Dependency of Elbow Flexion Angle Variations in Real and Virtual Grabbing Tasks Using Statistical Parametric Mapping;an Experimental Study of the Psychological Effects of Vision Loss for Practical Application to Windowless Cockpits;human Factors in Interface Design of Electronic Control systems for Mechanical Equipment in Stage and Studio Automation;quantitative Characterization of Upper Limb Intensity and Symmetry of Use in Healthcare Workers Using Wrist-Worn Accelerometers;human Ergonomic Assessment Within "Industry 5.0" Workplace: Do Standard Observational Methods Correlate with Kinematic-Based Index in Reaching Tasks?;challenges for Standardized Ergonomic Assessments by Digital Human modeling;Assessing Ergonomics on IPS IMMA Family of Manikins;Experimental Research on Ergonomics Evaluation of HMDs;improving Ergonomic Training Using Augmented Reality Feedback;BGHW Warehouse Simulation – Virtual Reality Supports Prevention of Slip, Trip and Fall (STF) Accidents;the Low Back Fatigue Research Based on Controlled Sedentary Driving Tasks;An Experimental Study of the Comfort of Stroke Rehabilitation Gloves Based on ANSYS;development and Evaluation of a Knowledge-Based Cyber-Physical Production System to Support Industrial Set-Up Processes Considering Ergonomic and User-Centered Aspects;The Impacts of Covid-19 Pandemic on Nursing Workflow in a Medical ICU.
The dynamic response of inverter-based resources (IBRs) during fault-ride-though condition is driven by their control system, and it can be greatly different from that of synchronous generators (SGs). To standardize t...
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Chinese short text similarity computation stands as a pivotal task within natural language processing, garnering significant attention. However, existing models grapple with limitations in handling intricate semantic ...
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As a kind of grid-forming control method that can effectively provide virtual inertia for the power grid, the virtual synchronous generator (VSG) control has received increasing attention in recent years. However, the...
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A predictive model refers to a mathematical or computational model that is designed to make predictions or forecasts based on input data. These models are used in various fields such as finance, healthcare, marketing,...
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This paper proposes a hybrid model for predicting solar irradiance, crucial for optimizing photovoltaic (PV) energy generation. Combining physical modeling and deep learning techniques applied to weather predictions, ...
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The severe scarring of the liver due to the scar tissue gradually replacing healthy liver tissue results in Cirrhosis. This leads to liver failure, portal hypertension, and liver cancer. Our research uses advanced mac...
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