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

共 35208 条记录，以下是221-230 订阅

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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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Model-based Verification and Monitoring for Safe and Responsive Robots

Model-based Verification and Monitoring for Safe and Respons...

引用

IEEE international conference on simulation, modeling, and Programming for Autonomous Robots (SIMPAR)

作者： S. Bernagozzi S. Faraci E. Ghiorzi K. Pedemonte A. Ferrando L. Natale A. Tacchella Istituto Italiano di Tecnologia Genova Italia Università di Genova Genova Italia Università di Modena e Reggio Emilia Modena Italia

ISBN: (数字)9798331516857

ISBN: (纸本)9798331516864

Model-based development (MBD) is gaining widespread acceptance as a design technique in robotics. Not only it eases the work of developers and makes software deployment faster than traditional code-based approaches, but it also enables the application of formal methods without the need of specific training for developers. In particular, (off-line) automated verification is known to improve the quality of software and enable early recognition of hard-to-find bugs whereas (on-line) monitoring helps to close the reality-gap by running either on simulators or actual hardware. In this paper we present a comprehensive approach to MBD, verification, and monitoring that enables developers to design robust control software by featuring both off- and on-line checks in a push-button fashion, i.e., one where all the complexity of formal methods is hidden under the hood of the development tools.

关键词： Training Robust control computer bugs Programming Software Hardware Complexity theory Monitoring Autonomous robots

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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...

引用

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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Synthesis of the Algorithm for Assessing Vehicle Lane Based on a Local Positioning System Using Ultra-Wideband Signals

Synthesis of the Algorithm for Assessing Vehicle Lane Based ...

引用

international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Igor B. Galuev Nikita I. Petukhov Stepan V. Orobchenko Adam A. Khabachirov Pavel A. Bondarev Alisa O. Kozhevnikova Radio Systems Department National Research University “MPEI” Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

The task of determining the lane of a vehicle is an urgent task. Such solutions can be used in traffic control systems and toll collection systems on toll roads. Ultra-wideband technology is promising for solving this problem due to the high accuracy of determining the coordinates of an object. This article discusses a vehicle lane detection system using a local navigation system based on ultra-wideband signals. In this work, methods of system design, computer modeling and experimental research were used. As a result of the research, an algorithm was developed and tested, which demonstrated high accuracy in modeling and in practical experiments. The use of the nonlinear range difference approximation method significantly reduced the error in determining the bandwidth, ensuring reliable operation of the algorithm.

关键词： Power engineering Accuracy Computational modeling Roads Traffic control Approximation algorithms Systems simulation Reliability System analysis and design Ultra wideband technology

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Challenges and Recommendations for Improving Logistic Skills Through simulation-Based Learning Technology

Challenges and Recommendations for Improving Logistic Skills...

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Advancement in Data Science, E-learning and Information Systems (ICADEIS), international conference on

作者： Tamsir Hasudungan Sirait Meyliana Yulyani Arifin Budi Yulianto Binus Graduate Program Doctor of Computer Scienceept Bina Nusantara University Jakarta Indonesia Computer Science Department Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331513320

ISBN: (纸本)9798331513337

simulation-based learning is one of the most powerful tools to support the educational process. This learning offers an opportunity to learn based on experiences that are very similar to real-world environments. In the context of logistics, which can be considered a complex system, significant efforts are required to enhance students' understanding and practical skills. For that reason, simulations are used so that benefits such as skills and knowledge in the field of logistics can be achieved. However, there are currently several challenges in developing simulation-based learning in higher education. These challenges include the need for simulations that are appropriate for the current learning context, where the students are generally from Generation Z, and how to improve their learning quality in the era of Industry 4.0. To address these challenges, more suitable simulations need to be developed, and higher education institutions must carefully examine how to develop them, including identifying the essential components in the development of simulations for logistics learning. In this research, a systematic literature review using the PRISMA method and also creating a conceptual model of simulation that better meets the current needs of logistics education will be proposed. The results of this research can be used as a basis for developing updated simulations to better prepare students for the challenges of Industry 4.0.

关键词： Analytical models Computational modeling Education Prototypes Data models Fourth Industrial Revolution Proposals Logistics Systematic literature review Investment

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Bio-Inspired UAS Swarm-Keeping based on computer Vision

Bio-Inspired UAS Swarm-Keeping based on Computer Vision

引用

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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Research on Higher Education Policy Effect Prediction Based on Multi-Agent simulation Technology

Research on Higher Education Policy Effect Prediction Based ...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Chenglang Lu Xuliang Yang Beibei Wang Dongguan City University Guangdong China Jiaxing Nanhu University Zhejiang China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

Higher education policy formulation has long relied on empirical judgment and static data analysis, which is difficult to cope with the dynamic complexity of education ecology in the AI era. This study proposes a policy effect prediction framework based on multi-agent simulation technology, and simulates the multi-agent interaction and system evolution under policy intervention by constructing a higher education ecosystem model including students, teachers, departments, social needs and other agents. Based on the intelligent education practice data of Zhejiang University, Wuhan University and other universities, the policy causal reasoning algorithm is developed to realize the dynamic deduction of major adjustment, enrollment scale regulation and other policies. Compared to traditional expert evaluation methods that exhibit 2.3-year policy lag (MOE 2024 data), our framework reduces trial-and-error costs for discipline adjustments by 64% through digital twin campuses. The research provides interpretable and iterative decision support tools for higher education governance, and helps policy making shift from “post-correction” to “foresight”

关键词： Technological innovation Costs Object oriented modeling Heuristic algorithms Education Reinforcement learning Predictive models Data models Digital twins Digital intelligence

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HelioCubed: A High Order Inner Heliosphere simulation Code with a Mapped Cubed Sphere Grid and Adaptive Mesh Refinement 16

HelioCubed: A High Order Inner Heliosphere Simulation Code w...

引用

16th international conference on Numerical modeling of Space Plasma Flows, ASTRONUM 2024

作者： Singh, Talwinder Colella, Phillip Van-Straalen, Brian Bozhart, Chris Pogorelov, Nikolai V. Department of Physics & Astronomy Georgia State University AtlantaGA30303 United States Applied Numerical Algorithms Group Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Electrical Engineering and Computer Science Department University of California Berkeley BerkeleyCA94720 United States Department of Space Science The University of Alabama in Huntsville HuntsvilleAL35805 United States Center for Space Plasma and Aeronomic Research The University of Alabama in Huntsville HuntsvilleAL35805 United States

We present the HelioCubed, a high-order magnetohydrodynamic (MHD) code designed for modeling the inner heliosphere. The code is designed to achieve 4th order accuracy both in space and in time. In addition, HelioCubed can perform simulations on mapped grids, such as those based on cubed spheres, which makes it possible to overcome stability limitations caused by the geometrical singularity at the polar axis of a spherical grid, thus enabling substantially larger time steps. HelioCubed has been developed using the high-level Proto library, ensures performance portability across CPU and GPU architectures, and supports back-end implementations, e.g., CUDA, HIP, OpenMP, and MPI. The code is compatible with the HDF5 library, which facilitates seamless data handling for simulations and boundary conditions derived from semi-empirical and MHD models of the solar corona. While presenting the results of preliminary simulations, we demonstrate that our simulations are indeed performed with 4th order of accuracy. Our approach ensures that HelioCubed solves the MHD equations preserving the radial flow to machine round-off error even on cubed-sphere grids. Solar wind simulations are performed using the boundary conditions provided by the Wang-Sheeley-Arge coronal model of the ambient solar wind. It also allows us to to simulate coronal mass ejections using observation-driven flux rope models. These capabilities make HelioCubed a versatile and powerful tool to advance heliophysics research and space weather forecasting. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Mesh generation

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Enhancing AR/VR Experiences with a Pinch-Gesture Multi-Layer Virtual Keyboard System

Enhancing AR/VR Experiences with a Pinch-Gesture Multi-Layer...

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international conference on Electronics, Information and Communications (ICEIC)

作者： Donggyu Kim Viduranga Munasinghe Tae-Ho Lee Hyun-Jun Jin Tae Sung Kim Jin-Sung Kim Hyuk-Jae Lee Department of Electrical and Computer Engineering Seoul National University Department of Electronic Engineering Kangwon National University Department of Electronic Engineering Sun Moon University

ISBN: (数字)9798331510756

ISBN: (纸本)9798331510763

Advancements in augmented reality (AR) and virtual reality (VR) technologies suggest that AR/VR devices will soon become widely accessible. Despite this growth, there remains a lack of specialized virtual keyboard systems optimized for AR/VR interactions. To address this, we propose a multi-layer virtual keyboard system utilizing pinch-based gesture recognition, specifically designed for AR/VR applications. Our simulation model demonstrates that the proposed system achieves significantly faster typing speeds due to its layered structure and gesture-based interface, resulting in substantial gains in user input efficiency and experience compared to traditional keyboard solutions.

关键词： Solid modeling simulation Keyboards Gesture recognition User interfaces Augmented reality

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A Temporal Self-Attention Guided Deep Learning Approach for Prognosis of Remaining Useful Life of Aircraft Turbofan Engines

A Temporal Self-Attention Guided Deep Learning Approach for ...

引用

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

作者： Arupa Barua Ashim Dey Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

In the aviation industry, a reliable prognosis of the remaining useful life (RUL) of aircraft engines is a prerequisite for effective predictive maintenance as well as averting critical failures. But the high non-linearity of engine components and operation in complex environments make it more challenging to capture the deterioration behavior and estimate the RUL. To deal with this concern, a deep learning ensemble model with a Temporal Self-Attention Mechanism (TSAM) is presented to estimate the RUL of aircraft turbofan engines effectively. Firstly, the importance of different sensors is evaluated by applying the TSAM method to the raw sensor data. Then Temporal Convolutional Network (TCN) is applied to the weighted sensor data to extract high-dimensional features. Next, a Bi-directional LSTM network is used to acquire the long-term dependencies in the time series. To further improve the performance we used the Bayesian Optimization strategy to optimize the best hyperparameters. Finally, the efficiency of the proposed TSAM-TCN-Bi-LSTM model is verified using the Commercial Modular Aero Propulsion System simulation (C-MAPSS) dataset obtained by NASA and evaluated against other existing methods. The study demonstrates that the presented ensemble model can prominently yield better results than other approaches for estimating the remaining useful life of aircraft turbofan engines.

关键词： Atmospheric modeling Computational modeling Predictive models Sensor phenomena and characterization Bayes methods Aircraft propulsion Aircraft Prognostics and health management Engines Optimization

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