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共 3791 条记录，以下是71-80 订阅

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A Bibliometric Analysis of Cognitive Load Sensing methodologies and Its applications 15th

A Bibliometric Analysis of Cognitive Load Sensing Methodolog...

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15th international conference on Digital Human modeling and applications in Health, Safety, Ergonomics and Risk Management (DHM)

作者： Villarreal, Ryan Thomas Nordstrom, Parker Andrew Duffy, Vincent G. Purdue Univ Coll Engn Sch Ind Engn W Lafayette IN 47907 USA Purdue Univ Coll Engn Ray Ewry Sports Engn Ctr W Lafayette IN 47907 USA

ISBN: (纸本)9783031610592;9783031610608

Cognitive workload refers to the amount of mental resources a person expends while performing a task or processing information. Recent trends in the field have shown that cognitive load can be estimated through the use of physiological sensing techniques such as electroencephalograms (EEG), eye tracking, and electromyography (EMG). As these technologies are developed to be smaller, faster, smarter, and stronger, it has become more feasible to record physiological measurements in natural user environments and contexts, reducing challenges to generalizability and ecological validity. To gain a better understanding of the field and discuss where it is heading, our team completed a bibliometric analysis on the history, current state, and recent trends in the field of cognitive workload sensing and its applications. A literature review was conducted utilizing leading tables to analyze the most influential papers in the field. Further, an analysis of trends in the field is included to discuss the history of the field and its direction. It is shown that the field is still emerging, with a rapid growth of publications starting at the beginning of the 21st century.

关键词： Cognitive Load Ergonomics Cognitive Load applications

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Hardware-In-The-Loop (HIL) simulation-based Interoperability Testing Method of Smart Sensors in Smart Grids 7

Hardware-In-The-Loop (HIL) Simulation-based Interoperability...

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IEEE 7th international conference on Industrial Cyber-Physical Systems (ICPS)

作者： Song, Eugene Y. Lee, Kang B. Natl Inst Stand & Technol Commun Technol Lab Gaithersburg MD 20899 USA

ISBN: (纸本)9798350363029;9798350363012

Smart sensors in smart grids (SG) can provide real-time data and status of electrical power grids (EPG) for monitoring, protection, and control (MPC) applications to improve the reliability and resilience of EPG. However, there are major challenges for smart sensor data interoperability in SG, such as optional functions and implementations based on different interpretations of the standard. Interoperability modeling, testing and certification, and measurement and assessment methodologies help achieve and assure interoperability. This paper proposes a hardware-in-the-loop (HIL) simulation-based interoperability testing method for smart sensors in the closed-loop MPC use cases of EPG. In this testing method, a smart sensor, as hardware or device under test (DUT), is plugged into the closed-loop MPC application simulation of EPG to test its interoperability with the rest of the simulation system. A HIL simulation-based interoperability test case of IEC 61850-9-2 merging unit (MU)-based smart sensor is used to illustrate how the testing method works. This testing method not only tests how to exchange information between an MU-based smart sensor and the simulated protective relay (PR) but also tests how the PR can use the information from the smart sensor for MPC applications. Smart sensor users and manufacturers can use this testing method to develop testing systems to help achieve interoperability and, ultimately, plug-and-play of smart sensors.

关键词： Device under Test Hardware-in-the-Loop IEC 61850-9-2 Interoperability Testing Merging Unit Monitoring Protection and Control Real-Time simulation Smart Grid Smart Sensor

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modeling and simulation of Infectious Disease Dynamics Utilizing SEIR Model

Modeling and Simulation of Infectious Disease Dynamics Utili...

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2024 ASU international conference in Emerging technologies for Sustainability and Intelligent Systems, ICETSIS 2024

作者： Ebron, Joshue Glenn A. Endaya, Juliana Kyl L. Lat, Nib Owen S. Levardo, Faith Angela N. Libaton, Mark Lester A. Rivera, Jiann Rhen M. Solar, John Joshua Javier B. Lara, James Darrel M. Salvador, Anela L. Magon, Selverino A. Batangas State University Department of Electronics Engineering Batangas Philippines Gokongwei College of Engineering De la Salle University Manila Philippines Technology Management Center University of the Philippines Quezon City Philippines

ISBN: (纸本)9798350372229

In the perpetual challenge against infectious diseases, the implementation of effective public health strategies requires a deep understanding of how illnesses work and how they spread, accurate estimation of parameters, and strategic planning for interventions. This paper explores the fundamental principles of the Susceptible - Exposed - Infectious - Recovered (SEIR) model, a widely utilized mathematical framework employed for monitoring infectious diseases. The real-life applications of Matrices were utilized through the SEIR Model simulation, which employs a simulation loop that constantly updates the state vector. This paper also highlights the critical role of mathematical modeling, especially the SEIR model, in advancing our comprehension of the dynamics of infectious diseases. It underscores the importance of utilizing matrix operations and examines various models and approaches, contributing to the ongoing discourse in computational epidemiology and initiatives for public health. The discourse further delves into the significance of matrix operations within the SEIR model, where matrices play a crucial role in quantifying transitions between compartments and influencing the outcomes of simulations. By drawing on insights from related literature, this paper explores the evolution of infectious disease modeling, giving emphasis to the extended SEIR model and its applications in diverse contexts, such as ACL transmission dynamics and the complexities of the SARS-Co V-2 pandemic. © 2024 IEEE.

关键词： Matrix Operations simulation Loop Susceptible - Exposed - Infectious - Recovered (SEIR)

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modeling method for simulation scene oriented to intelligent capability test of unmanned aerial vehicles

Modeling method for simulation scene oriented to intelligent...

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2024 international conference on Cloud Computing and Communication Engineering, CCCE 2024

作者： Han, Shuoye Fan, Zhiqiang Xia, Xiaokai Shen, Hao Li, Jinke Artificial Intelligence Institute of China Electronics Technology Group Corporation Beijing China

ISBN: (数字)9781510686717

ISBN: (纸本)9781510686700

With the rapid advancement of drone technology, unmanned aerial vehicles (UAVs) have found widespread application in military domains. Ensuring the optimal performance of UAVs in military applications necessitates the assessment of their intelligent capabilities. Traditional live-flight test methods for UAVs pose inherent challenges such as high risk, substantial costs, and low efficiency. Consequently, research into intelligent level test methodologies based on simulated scene holds significant importance. To address the modeling requirements for UAV intelligent level test scene, this paper proposes a modeling approach founded on the Meta Object Facility (MOF) framework for constructing scene model tailored to evaluating UAV intelligence. Concurrently, this paper establishes a complexity model for test scene based on the Analytical Hierarchy Process (AHP), and employs this model to perform a graded assessment of the UAV's intelligence level according to the complexity of the simulated scene. © 2024 SPIE.

关键词： Drones

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Kubernetes-in-the-Loop: Enriching Microservice simulation Through Authentic Container Orchestration 16th

Kubernetes-in-the-Loop: Enriching Microservice Simulation Th...

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16th EAI international conference on Performance Evaluation methodologies and Tools (VALUETOOLS)

作者： Straesser, Martin Haas, Patrick Frank, Sebastian Hakamian, Alireza van Hoorn, Andre Kounev, Samuel Univ Wurzburg Wurzburg Germany Univ Hamburg Hamburg Germany Univ Stuttgart Stuttgart Germany

ISBN: (纸本)9783031488849;9783031488856

Microservices deployed and managed by container orchestration frameworks like Kubernetes are the bases of modern cloud applications. In microservice performance modeling and prediction, simulations provide a lightweight alternative to experimental analysis, which requires dedicated infrastructure and a laborious setup. However, existing simulators cannot run realistic scenarios, as performance-critical orchestration mechanisms (like scheduling or autoscaling) are manually modeled and can consequently not be represented in their full complexity and configuration space. This work combines a state-of-the-art simulation for microservice performance with Kubernetes container orchestration. Hereby, we include the original implementation of Kubernetes artifacts enabling realistic scenarios and testing of orchestration policies with low overhead. In two experiments with Kubernetes' kube-scheduler and cluster-autoscaler, we demonstrate that our framework can correctly handle different configurations of these orchestration mechanisms boosting both the simulation's use cases and authenticity.

关键词： Kubernetes Microservices Container orchestration Discrete event simulation Cloud computing Software performance

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simulation Conditionally to a Subvariety and Application to Bayesian Optimization: A Dichotomous Approach 1

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11th international conference on simulation and modeling methodologies, technologies and applications, SIMULTECH 2021

作者： Dambreville, Frédéric ONERA/DTIS Université Paris Saclay Palaiseau Cedex91123 France

ISBN: (数字)9783031231490

ISBN: (纸本)9783031231483

This chapter concerns the issue of simulating a random vector conditionally to a subvariety. In practice, the subvariety is approximated by a thin shell surrounding it. These simulations are unusual cases of rare event simulation, which are made even more difficult with the dimension, the thinness of the shell and the nonlinearity of the subvariety. We propose a generic approach dedicated to the simulation of this type of rare event, which is dichotomous and inspired by interval analysis, with a particular effort to reduce the dimension curse. Non-incremental and incremental versions of the algorithm are designed in order to handle possible incremental constraint sets. Details on a multithread implementation are given especially in terms of data structure. These simulation methods are then used to propose a non-linear approach to Bayesian optimization. Examples of simulations and of Bayesian optimization are given in order to illustrate and compare the performances of the methods. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Bayesian optimization Interval analysis Rare event simulation Subvariety

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modeling, Analysis, and Prototyping of a Cascaded H-Bridge Multilevel Inverter System Using TI F28379D Microcontroller for High-Voltage applications 4

Modeling, Analysis, and Prototyping of a Cascaded H-Bridge M...

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4th international conference on Power, Control and Computing technologies, ICPC2T 2025

作者： Saurabh, Kumar Lalabhai, Patel Krunalkumar Mankani, Ashok Chakraborty, Aritra Naugraiya, Aditya Tharun, Meddi Amal, S. Christain, Paul D. Baruah, Ujjwal Kumar Institute for Plasma Research Gandhinagar382428 India Institute of Infrastructure Technology Research and Management Ahmedabad380026 India

ISBN: (纸本)9798331530402

An investigation of the design, evaluation, and testing of a high-voltage-generating multilevel inverter system based on the TI F28379D microcontroller is detailed in this work. To evaluate the proposed system's performance and feasibility, the research includes developing mathematical models, control algorithms, conducting simulation studies, and validating the results experimentally. We select a cascaded H-bridge architecture for high-voltage generation to leverage the precise control and modulation capabilities of the TI F28379D microcontroller. We applied the CHB-MLI simulation model in MATLAB Simulink. Afterwards, the development of a 1 kVA prototype inverter at IPR confirmed the modeling results. Theoretical studies, simulation results, and experimental results demonstrate the effectiveness and robustness of the designed multilevel inverter system, underscoring its potential for a wide range of industrial applications. © 2025 IEEE.

关键词： Phase shift

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An Integrated Instant NeRF and simulation Based 3D Reconstruction for Immersive City Twin 15th

An Integrated Instant NeRF and Simulation Based 3D Reconstru...

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15th international conference on Computer Science and its applications, CSA 2023 and 17th KIPS international conference on Ubiquitous Information technologies and applications, CUTE 2023

作者： Song, Xiaoyu Xu, Hansong Liu, Xing Liang, Fan School of Communication and Information Engineering Shanghai University Shanghai China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Computer Science Sam Houston State University Huntsville United States

ISBN: (纸本)9789819724468

Interactive 3-dimensional (3D) modeling techniques play critical roles in metaverse, virtual reality, and digital twin. Neural Radiance Fields (NeRF) generate high-resolution 3D models based on many real-world image data. However, the cost is high, especially for large-scale architecture modeling scenarios. On the other hand, computer simulation can generate digital scenes with coarse-grained details, which lack accuracy and details. This paper proposes the real-sim method, that integrates NeRF and computer simulation data, such as OpenStreetMap (OSM) to generate interactive 3D architecture models for large-scale scenes. We use the Instant Neural Graphics Primitives to rebuild the key buildings which can be embedded into the simulated environment. Finally, we leverage aerial and handheld devices for fast and precise campus architecture modeling. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Digital elevation model

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QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models 5

QuantumAnnealing: A Julia Package for Simulating Dynamics of...

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2024 international conference on Quantum Computing and Engineering

作者： Morrell, Zachary Vuffray, Marc Misra, Sidhant Coffrin, Carleton Los Alamos Natl Lab Adv Network Sci Initiat Los Alamos NM 87545 USA

ISBN: (纸本)9798331541378

Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimization problems, and simulating quantum systems. Due to the challenges of simulating dynamic quantum systems, there are relatively few classical tools for modeling the behavior of these devices and verifying their performance. *** provides a toolkit for performing simulations of Analog Quantum Computers on classical hardware. This package includes functionality for simulation of the time evolution of the Transverse Field Ising Model, replicating annealing schedules used by real world annealing hardware, implementing custom annealing schedules, and more. This allows for rapid prototyping of models expected to display interesting behavior, verification of the performance of quantum devices, and easy comparison against the expected behavior of quantum devices against classical approaches for small systems. The software is provided as open-source and is available through Julia's package registry system.

关键词： Quantum simulation Quantum Annealing Analog Quantum Computing Quantum Software Julia

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Characterization and modeling of Gate-All-Around FET (GAA FET) for Low-Power and High- Performance applications

Characterization and Modeling of Gate-All-Around FET (GAA FE...

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2024 international conference on Advances in Modern Age technologies for Health and Engineering Science, AMATHE 2024

作者： Hemantha, G. Reddy Priya, Aenikapati Swetha Suman, Jami Venkata Rao, T.V.Janardhana Priyadarshini, G.M.Anitha Mallam, Madhavi Madanapalle Institute Of Technology & Science Department Of Ece Andhra Pradesh Madanapalle India Amrita School Of Engineering Amrita Vishwa Vidyapeetham Department Of Ece Karnataka Bangalore India Gmr Institute Of Technology Department Of Ece Andhra Pradesh Rajam India Bonam Venkata Chalamayya Engineering College Department Of Ece Andhra Pradesh Odalarevu India Anurag University Department Of Ece Telangana Hyderabad India Pes Institute Of Technology And Management Department Of Ece Karnataka Shivamogga India

ISBN: (纸本)9798350371567

This paper investigates Gate-All-Around Field- Effect Transistors (GAA FETs) as viable solutions for modern low-power and high-performance electronic applications. Through extensive experimental analysis involving fabrication, electrical characterization, and simulation modeling, this study delves into the intrinsic electrical properties and performance metrics of GAA FETs. Key parameters such as threshold voltage, leakage current, sub-threshold swing, and transconductance are rigorously examined to assess the transistor's operational efficiency for low-power applications. Additionally, advanced simulation models are developed and validated to accurately predict GAA FET behavior, facilitating future design enhancements for high-performance computing. The findings underscore the advantageous features of GAA FETs, positioning them as promising candidates for fulfilling the requirements of both low-power consumption and high-performance computing. This research establishes a foundation for leveraging GAA FET technology in the development of innovative electronic devices, thereby opening avenues for diverse applications across various technological domains. © 2024 IEEE.

关键词： Multiple-gate field-effect transistors

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