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检索条件"任意字段=International Conference on Computer Modeling and Simulation"

共 35215 条记录，以下是221-230 订阅

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A Projection-Based Framework for Integrating Machine Learning into Macro finance Models

A Projection-Based Framework for Integrating Machine Learnin...

引用

Data Science, Agents & Artificial Intelligence (ICDSAAI), international conference on

作者： Akash S Sindhu V Pavithra S Department of Computer Science and Engineering Chennai Institute of Technology Chennai India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

This research introduces a supervised machine learning projection method to approximate expectations in the optimality conditions of economic models. Building upon the parameterized expectations algorithm (PEA) with stochastic simulation, the proposed neural network-based method efficiently addresses challenges such as multicollinearity and the curse of dimensionality. The study extends existing optimal debt management models to include four maturities, uncovering insights about medium-term maturities’ role in fiscal policy. Our findings demonstrate that the optimal policy actively leverages medium-term maturities to stabilize financial income during economic shocks without increasing total debt.

关键词： Economics Machine learning algorithms High dimensional data Biological system modeling Computational modeling Electric shock Buildings Stochastic processes Finance Unsupervised learning

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Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing 6

Industry 5.0 in Healthcare: An Integrated Framework for Huma...

引用

6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Ambrogio, Giuseppina Borgia, Carmine Bortolini, Marco Catapano, Gerardo Conforti, Domenico De Napoli, Luigi Gagliardi, Francesco Galizia, Francesco Gabriele Guido, Rosita Longo, Francesco Mirabelli, Federica Mirabelli, Giovanni Mundo, Domenico Regattieri, Alberto Saffioti, Maria Rosaria Scordamaglia, Gabriele Solina, Vittorio Umbrello, Domenico Veltri, Pierpaolo University of Calabria Department of Mechanical Engineering Energy Engineering and Management Engineering Italy University of Bologna Department of Industrial Engineering Italy University of Calabria Department of Computer Engineering Modeling Electronics and Systems Engineering Italy

Industry 5.0 emphasizes human-centric approaches in technological advancement, particularly crucial in healthcare applications such as prosthetics development. While individual technologies like additive manufacturing, machine learning, digital twins, and tissue engineering have shown promise in prosthetics innovation, their integration remains a significant challenge. This paper presents a novel multidisciplinary framework developed through the National Centre for High-Performance Computing (CN-HPC) project, which addresses the gap between individual technological capabilities and their coordinated application in personalized prosthetics development. The framework, implemented through collaboration between six research groups from two universities, employs the House of Quality methodology to align technological integration with patient needs. Our approach encompasses a comprehensive seven-step process, from initial patient requirements definition through virtual modeling, production process optimization, virtual sensing, machine learning enhancement, digital twin simulation, to advanced tissue engineering. A data model facilitates seamless information exchange between different technological domains and research groups. This research contributes to the field by providing a scalable, human-centered framework for technology integration in medical device development, potentially extending beyond prosthetics to other healthcare applications. The proposed framework represents a significant step toward realizing the full potential of Industry 5.0 in healthcare manufacturing through the systematic integration of advanced technologies for delivering personalized prosthetic solutions. © 2024 The Authors. Published by Elsevier B.V.

关键词： Tissue engineering

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A Trapezoidal-Structured Switched-Capacitor Balancing Circuit for Li-ion Battery Energy Storage System

A Trapezoidal-Structured Switched-Capacitor Balancing Circui...

引用

IEEE Students' conference on Electrical, Electronics and computer Science (SCEECS)

作者： Abhaya Kumar Sahoo V. Sankaranarayanan Department of Electrical and Electronics Engineering National Institute of Technology Tiruchirappalli India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

The existing switched capacitor (SC)-type equalizers are less reliable and inefficient because of their bulkiness and high cost. Therefore, to suppress the drawbacks of existing switched capacitor equalizers (SCEs), a Trapezoidal-Structured SCE (TSSCE) is proposed with optimal cost, compact size, good efficiency, and better equalizing speed. The constructional feature of the proposed equalizer allows it to provide multiple optimal balancing paths with a minimal number of capacitors. An asymptotic relationship of the effective resistance model is presented, which gives an in-depth idea about the behavior of capacitors and switches in slow and fast switching limit regions. A simulation model is made, with four cells connected in series. simulation analysis ensures the performance of the proposed converter. TSSCE achieves a better equalization speed and efficiency with only n capacitors for n number of cells, making the topology cost-effective and faster than the existing equalizers.

关键词： Resistance Costs Equalizers simulation Capacitors Switches Topology Reliability Integrated circuit modeling Switching circuits

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Design and simulation of Broken Gate TFET and its RF Applications

Design and Simulation of Broken Gate TFET and its RF Applica...

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international ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering (ECTI-NCON)

作者： Kh. Alisha Singha Aditya Singha Swrang Brahma Karapallav Chutia Bijoy Goswami Dept. of Electronics and Telecommunication(B.Tech) Assam Engineering College JalukbariGuwahati(ASTU) Guwahati Assam India

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

In this study, we introduce a novel Broken-Gate Tunnel Field-Effect Transistor (BG-TFET) architecture based on silicon. The structure has been refined and analytically characterized. The device showcases an enhanced subthreshold slope (SS) of 19 mV/dec, minimal bidirectional current, and ON-current values on par with contemporary designs of similar dimensions. The findings of the device parameters are corroborated through the simulations of SILVACO employing the methodology of Nonlocal tunneling.

关键词： Performance evaluation Accuracy TFETs Sensitivity Tunneling Predictive models Logic gates Silicon Semiconductor process modeling Transistors

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Reinforcement Learning and Discrete Event simulation Applied to Production Scheduling: A Scoping Review 30th

Reinforcement Learning and Discrete Event Simulation Applied...

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30th international Joint conference on Industrial Engineering and Operations Management, IJCIEOM 2024

作者： Pereira, Pedro Amaral de Carvalho, Andréa Regina Nunes Saisse, Manoel Carlos Pego da Silva, Arthur Santâna de Simas Mauger Canova, Eduardo Félix National Institute of Technology Rio de Janeiro Brazil Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9783031807848

Models based on Reinforcement Learning (RL) have been combined with Discrete Event simulation (DES) to mimic the human learning process in decision-making in production scheduling (PS) problems. By conducting a survey on the current state of the art in research involving the RL-DES-PS trinomial, this scoping review seeks to summarize the findings of scientific literature, explain similarities and dissimilarities between the articles searched, and identify gaps and potential applications. The articles retrieved for the study were analyzed and a taxonomy of 12 relevant attributes was proposed. This taxonomy groups the attributes into four categories (scheduling context, RL modelling, DES attributes and DES-RL integration), and may lay a foundation for further explorations. This paper also provides insights of the existing gaps in the literature and poses questions for future research. The majority of the articles reviewed considered simplified versions of production systems, or a more limited modeling for the RL algorithm, which reinforces the need for further development and maturation in this field to address the challenges posed by production scheduling problems. Moreover, practitioners can utilize the insights from this paper by applying the proposed taxonomy as a supporting tool for developing improved DES-RL-based models, to tackle production scheduling problems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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Accelerating Cloud Database Recovery for Providing Real-Time Service After a Cyberattack 20th

Accelerating Cloud Database Recovery for Providing Real-Time...

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20th international conference on Grid, Cloud, and Cluster Computing, GCC 2024, 3rd international conference on Quantum Technologies, ICEQT 2024, and 21st international conference on modeling, simulation and Visualization Methods, MSV 2024, held as part of the World Congress in computer Science, computer Engineering and Applied Computing, CSCE 2024

作者： Panda, Brajendra Buchanan, Noah Electrical Engineering and Computer Science Department University of Arkansas FayettevilleAR72701 United States

ISBN: (纸本)9783031858833

Given the many advantages offered by cloud computing, organizations are increasingly moving their databases to cloud. Some of these databases contain critical infrastructure data requiring real-time service. Unfortunately, data in critical infrastructure systems has become one of the major targets of attackers. Since such data are highly connected and interdependent, the initial damage done by an attacker spreads quickly through the system when valid transactions make any updates based on the value of a damaged object. As a result, it adversely affects the real-time service the system is designed to offer. In this work, we provide a model to perform fast damage assessment and recovery. Our approach allows all unaffected data objects to be available to users and makes the affected system recover swiftly. This work uses a modified log mechanism and a graph-based approach to perform fast damage assessment and recovery. Through simulation, we proved that the model expedites the process significantly. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cloud security

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Bio-Inspired UAS Swarm-Keeping based on computer Vision

Bio-Inspired UAS Swarm-Keeping based on Computer Vision

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international conference on Unmanned Aircraft Systems (ICUAS)

作者： Gonzalo Garcia Azim Eskandarian College of Engineering Virginia Commonwealth University Richmond VA

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

This paper employs a biologically inspired logic for trajectory generation for a swarm of autonomous aerial vehicles, using passive distance estimation from onboard visual cameras. The method is inspired by swarming birds that use the perception of neighboring birds to modify their own motion, based on passive sensory data. Based on birds' spatial proximity, the logic enables stable swarming without explicit inter-agent active distance control and specific neighbor identification. A decentralized technique is used that utilizes optimal guidance and control for trajectory tracking without centralized computations while progressing in a general direction and speed. Each agent, equipped with visual cameras, achieves a cohesive and coordinated contribution to the formation. The approach is validated through simulation using unmanned aircraft models controlled by nonlinear model predictive controllers, and by inferring distance from images between adjacent agents.

关键词： Visualization Trajectory tracking Atmospheric modeling Biological system modeling Estimation Predictive models Birds Cameras Logic Aircraft

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Integrated modeling and Feasibility Study of a Rooftop Solar System on Academic Buildings: A Case Study in Bangladesh

Integrated Modeling and Feasibility Study of a Rooftop Solar...

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international conference on Electrical, computer and Communication Engineering (ECCE)

作者： Rahat Redwan Mehnaz Hossain Awatif Nadia Rahbaar Yeassin Mahmudul Hasan Nahid-Ur-Rahman Chowdhury Dept. of EEE Ahsanullah University of Science & Technology (AUST) Dhaka Bangladesh Dept. of EEE Northern University Bangladesh (NUB) Dhaka Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

The uses of solar photovoltaic (PV) systems have increased significantly as the world moves towards renewable energy sources (RESs). Rooftop solar systems (RSSs) are particularly popular due to their environmental advantages. This study explores the integrated modeling and feasibility analysis of rooftop solar system for Rangamati Science and Technology University (RMSTU), located in Rangamati district, Bangladesh. Established to advance higher education and research in science and technology in the Chittagong Hill Tracts (CHTs) region, the university requires a thorough feasibility assessment before installing a grid-connected RSS. This paper presents a detailed methodology for evaluating a grid-connected RSS, considering performance, economic factors, losses, and environmental impact. A test system with a 125 kWp capacity is implemented in academic buildings 1 and 2 on the university campus using PVsyst and the System Advisor Model (SAM) software. simulation results show an annual energy output of 185.86 MWh and a payback period of 4.8 years. The results indicate a performance ratio of 80.2%, a marginal levelized cost of energy (LCOE) of 6.468 Bangladeshi Taka (BDT) (equivalent to $0.055), and a reduction in CO 2 emissions by 86.243 tons per year.

关键词： Photovoltaic systems Renewable energy sources Analytical models simulation Buildings Production Power grids Solar system Software tools Optimization

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Design and simulation of an Intelligent Traffic Management System Using Vehicular Networks

Design and Simulation of an Intelligent Traffic Management S...

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Intelligent Data Communication Technologies and Internet of Things (IDCIoT), international conference on

作者： P. Tapan Datta D.Lalith Kumar S. Tanoj Shinu M Rajagopal Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

In this study , the reasearch is focused on the simulation of vehicular communication networks, especially intelligent traffic systems, to enhance dependability, safety, and optimality in communication. The simulation is performed using the OMNeT++ simulator and is integrated with the Veins framework that uses the IEEE 802.11p protocol for V2V and V2I communications. Importing real-world traffic scenarios into the framework is obtained via the use of SUMO through TraCIScenarioManager. Other features of the framework include the definition of mobility models, dynamic obstacles, and detailed radio propagation modeling. TraCIDemo11p is used for mobility and communication by both RSUs and vehicles with applications in beaconing and channel switching. The whole framework analyzes smart traffic management solutions, providing as much insight into their performance based upon the communication reliability and overall efficiency in vehicular networks.

关键词： Protocols Vehicle-to-infrastructure simulation Vehicular ad hoc networks Switches Radio propagation Safety Security Reliability Vehicle dynamics

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Synchronization of computer Virus System Using Fractional Calculus

Synchronization of Computer Virus System Using Fractional Ca...

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Computational Intelligence Approaches and Applications (ICCIAA), international conference on

作者： Jamal Oudetallah Imane Zouak Wasim Audeh Adel Ouannas Amina-Aicha Khennaoui Iqbal M. Batiha Shaher Momani Department of Mathematics University of Petra Amman Jordan Department of Mathematics and Informatics University of Larbi Ben M'hidi Oum El Bouaghi Algeria NTIC Faculty University of Constantine 2 Constantine Algeria Department of Mathematics Al Zaytoonah University of Jordan Amman Jordan Nonlinear Dynamics Research Center (NDRC) Ajman University Ajman UAE

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

This paper presents a comprehensive study on the synchronization of fractional-order computer virus systems. By utilizing the concept of generalized synchronization, we explore the dynamic behavior of these systems and propose effective control strategies to achieve synchronized states. The proposed approach leverages the advantages of fractional calculus to model the memory effects and non-local properties of computer virus propagation. Numerical simulations are conducted to validate the theoretical findings and demonstrate the effectiveness of the proposed synchronization scheme. The results of this research contribute to a deeper understanding of computer virus dynamics and provide insights into potential security measures.

关键词： computer viruses Computational modeling Numerical simulation Numerical models Synchronization Security Fractional calculus Computational intelligence

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