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检索条件"任意字段=International Conference on Simulation and Modeling Methodologies, Technologies and Applications"

共 3909 条记录，以下是101-110 订阅

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On the Implementation of simulation-based on Representation by Rules Methodology to Plan Port Logistics Operation 11

On the Implementation of Simulation-based on Representation ...

引用

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

作者： de Azevedo, Anibal Tavares Univ Estadual Campinas Appl Sci Sch Rua Pedro Zaccaria 1300 Limeira Brazil

ISBN: (纸本)9789897585289

This paper proposes a fast and agile methodology that enables easy incorporation of different business rules for planning port logistics operations. The rules could be embedded in a simplified discrete-event and multi-agent simulation scheme that clearly shows the impacts of different rules in each part of the port operation. Furthermore, the developed approach enables an analysis of how operational decisions in one port could affect subsequent ports.

关键词： simulation Port Logistic Operation Representation by Rules

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Design and simulation of Metamaterial Microwave devices for High efficiency Wireless applications 14

Design and Simulation of Metamaterial Microwave devices for ...

引用

14th IEEE international conference on Communication Systems and Network technologies, CSNT 2025

作者： Kumar, Amitabh Kumar, Yogesh Department of Electrical Electronics & Communication Engineering Galgotias University U.P. Greater Noida India

ISBN: (纸本)9798331531935

In this research work, a novel approach in the design and modeling of metamaterial-based microwave devices for improved bandwidth and efficiency for the next generation wireless technology;5G and all subsequent generations is presented. The design combines SRRs and CSRRs to realize a prototype that resonates at 5.85 GHz with -22.9 dB of return loss and 93% efficiency of transmission. The simulation results presented in this work demonstrated an operation bandwidth of 780 MHz, which was three times higher than conventional designs. Microwave design was performed using CST Microwave Studio and HFSS, while the experimental characteristics were obtained using a vector network analyzer. This paper describes the methodology, instruments, and control factors for obtaining this level of performance and indicates possible areas of using high-speed data transfers and signal quality in 5G and subsequent networks. © 2025 IEEE.

关键词： Microwave resonators

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modeling the Influence of Charge Carrier Diffusion on Harmonic Comb Formation in Quantum Cascade Lasers 25

Modeling the Influence of Charge Carrier Diffusion on Harmon...

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24th international conference on Electromagnetics in Advanced applications (ICEAA) / 12th IEEE-APS Topical conference on Antennas and Propagation in Wireless Communications (IEEE APWC)

作者： Seitner, Lukas Popp, Johannes Naunheimer, Felix Janowski, Georg Haider, Michael Jirauschek, Christian Tech Univ Munich TUM Sch Computat Informat & Technol Garching Germany

ISBN: (纸本)9798350320589

The quantum cascade laser (QCL), operating as an optical frequency comb, is highly attractive for applications in metrology and sensing. Recently, the generation of coherent optical frequency combs in QCLs with large intermodal spacing has been demonstrated. These harmonic combs promise superior quantum features and may expand the scope of photonic quantum technologies. This paper presents a numerical study of self-starting harmonic mode-locking in terahertz QCL devices in the presence of charge carrier diffusion. With our detailed multi-domain simulation approach and the possibility of artificially turning off spatial hole burning, we observe a strong dependence of the laser state on the strength of the population grating.

关键词： Quantum cascade lasers spatial hole burning charge carrier diffusion frequency combs harmonic combs

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Integrating Deep Learning with Structural Bioinformatics using Next-Generation Protein Stability Prediction 7

Integrating Deep Learning with Structural Bioinformatics usi...

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7th international conference on Inventive Computation technologies, ICICT 2024

作者： Jasmine Sugil, A. Merriliance, K. Soundiraraj, N. Manonmaniam Sundaranar University Tirunelveli India Department of Computer Applications And Research Center Tamilnadu Tirunelveli India Psna College of Engineering And Technology Department of Electronics And Communication Engineering Dindigul India

ISBN: (纸本)9798350359299

Protein stability refers to the propensity of a protein molecule to maintain its native folded structure under various environmental conditions. Understanding protein stability is crucial as it directly influences protein function, activity, and interactions within biological systems. Accurate prediction of protein stability is therefore essential for elucidating protein structure-function relationships, guiding protein engineering efforts, and facilitating drug discovery processes. The integration of deep learning methodologies with structural bioinformatics presents a promising avenue for advancing next-generation protein stability prediction systems. This research introduces a novel algorithm, DeepCartesianDDG (DCD), which combines the predictive power of DeepVariantNet with the structural insights provided by the Rosetta 'cartesian-ddg' protocol. Through extensive simulation analysis, the proposed algorithm's performance is evaluated against existing algorithms commonly employed in protein stability prediction. Key simulation metrics including accuracy, precision, recall, and F1-score are utilized for comparison. The results demonstrate that DCD outperforms traditional algorithms, showcasing its efficacy in accurately estimating protein stability values. This research underscores the potential of integrating deep learning techniques with structural bioinformatics for enhancing protein stability prediction, thereby paving the way for advancements in protein engineering and drug discovery. © 2024 IEEE.

关键词： Proteins

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modeling of Lithium-Ion Battery with Thermal Analysis 4

Modeling of Lithium-Ion Battery with Thermal Analysis

引用

4th IEEE international conference on Emerging Frontiers in Electrical and Electronic technologies, ICEFEET 2024

作者： Unni, Aparna Mishra, Utkarsh Deepak Singh, Manjeet Department of Electrical Engineering Chandigarh University Mohali India

ISBN: (纸本)9798331528614

This study presents a comprehensive modelling approach for analyzing the thermal behaviour of lithium-ion batteries using COMSOL Multiphysics. Lithium-ion batteries are widely used in various applications ranging from portable electronics to electric vehicles, and understanding their thermal characteristics is crucial for optimizing their performance, safety, and lifespan. The proposed model incorporates electrochemical reactions, electrolyte transport, heat transfer mechanisms, and thermal expansion effects to accurately simulate the thermal behaviour of lithium-ion batteries under different operating conditions. The geometry of the battery cell is created and meshed, and material properties are defined for each component. Boundary conditions are applied to simulate realistic operating conditions, and the solver settings are configured to ensure accurate and efficient simulations. Post-processing tools are utilized to visualize temperature distributions, current density, voltage profiles, and other relevant quantities, providing valuable insights into the thermal performance of lithium-ion batteries. The novelty of this study lies in its integration of electrochemical reactions, electrolyte transport, and thermal expansion effects within the COMSOL environment to offer a more comprehensive and precise simulation of lithium-ion batteries' thermal behaviour. ©2024 IEEE.

关键词： Thermal modeling

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Trajectory planning and simulation of a custom mobile manipulator for door opening tasks using ROS 23

Trajectory planning and simulation of a custom mobile manipu...

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6th international conference on Advances in Robotics, AIR 2023

作者： Sulaiman, Shifa Amarnath, H. Apurin, Artem Martinez-Garcia, Edgar Magid, Evgeni Kazan Federal University Moscow Russia Nawe Robotics Moscow Russia The Autonomous University of Ciudad Juarez Moscow Russia Hse University Moscow Russia

ISBN: (纸本)9781450399807

Nowadays, mobile robots are employed extensively in manufacturing and service sectors for completing tasks efficiently. Number of mobile robots used in household and medical related tasks increased due to their capability to carry out tasks with a high precision. The emergence of COVID-19 cases also encouraged mobile robots usage in service sectors to implement contactless operations. Development of robotic systems for opening doors during navigation is a crucial task. This paper presents the development of a custom-made mobile manipulator for opening doors. Tiago base mobile robot and Universal Robot 3 (UR3) manipulator fitted with Robotiq gripper were combined for developing a new mobile manipulator. Kinematic and workspace analyses of UR3 manipulator were carried out using the screw theory formulation. A trajectory planning for opening a door was carried out using Robot Operating System (ROS) platform. A simulation study was done to visualize the robot operation during the door opening task.;• CCS CONCEPTS;• Computing methodologies;• modeling and simulation;• Model development and analysis;• modeling methodologies;© 2023 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Mobile robots

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2023 international conference on Intelligent Data Science technologies and applications, IDSTA 2023

2023 International Conference on Intelligent Data Science Te...

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3rd international conference on Intelligent Data Science technologies and applications, IDSTA 2023

ISBN: (纸本)9798350339253

The proceedings contain 18 papers. The topics discussed include: epileptic seizure detection using novel CNN with residual connections;deep federated learning for IoT to improve healthcare operations;securing domain name systems with blockchain;bias correction in urban building energy modeling for Chicago using machine learning;modular simulation environment towards OTN AI-based solutions;incorporating data preparation and clustering techniques for workload segmentation in large-scale cloud data centers;machine learning based preemptive diagnosis of Parkinson’s disease using Saudi clinical data: a preliminary case study on Saudi Arabia dataset;towards Arabic multimodal dataset for sentiment analysis;and architecture description framework for data-intensive applications.

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System Identification for Non-destructive Assessment of Structures: Lessons Learned 2nd

System Identification for Non-destructive Assessment of Stru...

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2nd international conference on Information technologies and Their applications

作者： Kasimzade, Azer A. Nematli, Emin Mahmudov, Eldaniz Huseynli, Nicat Azerbaijan Univ Architecture & Construct Baku Azerbaijan Ondokuz Mayis Univ Dept Civil Engn Samsun Turkiye

ISBN: (纸本)9783031734168;9783031734175

For development and application of the System Identification in Dynamic Design Solution and Health Monitoring of Civil Engineering Structures, based on author's awarded project (MF-046), related facility has been established at the Department of Civil Engineering, Ondokuz Mayis University, Turkey in 2002-2003 years. And it was the first in this field. FE model updating was performed through an optimization procedure that starts from a sensitivity analysis to find the most influential model parameters on the modal properties of the system. The updated model was used as a benchmark to define the properties of a model, with which an assessment of the vulnerability of the structure. The presented research offers an overview of monitoring systems, alongside highlighting major findings concerning the dynamic response properties of monitored structures, with a particular focus on: -finite element calibration of reinforce concrete and steel structures;steel structures with cable elements;steel structures retrofitted with CFRP;possibility using micro tremor data on ground level for ambient excitation in shaking tables;aliasing (bound checking) problems for extracting modal and physical parameters;and others like this.

关键词： Systems Identification Finite Element modeling Calibration Kalman Filter Gain Monte-Carlo simulation

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Design and Analysis of Microstrip Patch Antenna Using Metamaterial for Biomedical applications 4

Design and Analysis of Microstrip Patch Antenna Using Metama...

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4th IEEE international conference on Artificial Intelligence in Cybersecurity, ICAIC 2025

作者： Shrivastava, Anshul Kumar, Rajesh Kurmendra North Eastern Regional institute of Science & Technology Department of Electronics and Communication Engineering Arunachal Pradesh Nirjuli791109 India Rajiv Gandhi University Department of Electronics & Communication Engineering Arunachal Pradesh Doimukh791112 India

ISBN: (纸本)9798331518882

Over the past ten years, metamaterials research has attracted a lot of attention. Metamaterials are materials that have been created artificially and exhibit characteristics that cannot be seen in materials that naturally occur. Metamaterials occur in a wide range of forms and exhibit electromagnetic phenomena that are not present in natural materials. When creating a novel metamaterial, simulation can be used to examine both the overall property of the substance and each individual component. The researcher needs to be mindful of a few particular factors when modelling metamaterials. Multiple modeling methodologies are thus employed for the effective development of a gadget. Given that early-stage cancer can be successfully treated with well-established conventional treatments, remote malignant tumor diagnostics is essential to modern medicine's capacity to treat cancer disorders. Such antennas have been designed so far for many types of diseases using a variety of ways. © 2025 IEEE.

关键词： Microstrip antennas

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Vulnerability modeling in Сybersecurity of Intelligent Infrastructure Networks 19th

Vulnerability Modeling in Сybersecurity of Intelligent Infr...

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19th international conference on Mathematical modeling and simulation of Systems, MODS 2024

作者： Rozlomii, Inna Yarmilko, Andrii Naumenko, Serhii Cherkasy State Technological University 460 Shevchenko Blvd. Cherkasy18006 Ukraine Bohdan Khmelnytsky National University of Cherkasy 81 Shevchenko Blvd. Cherkasy18031 Ukraine

ISBN: (纸本)9783031907340

The article focuses on the importance of cybersecurity in the energy sector, emphasizing the risks associated with the integration of technologies into energy infrastructures. The authors point out the increasing number of cyber-attacks and vulnerabilities faced by infrastructure networks, especially in the context of the growing number of connected systems and the proliferation of the Internet of Things. Current trends and challenges faced by organizations in the energy sector are highlighted, including risks related to remote access, wireless technologies, and cloud computing. The primary emphasis is on the analysis of threats and vulnerabilities in intelligent networks, risk assessment, and the development of strategies to enhance cybersecurity. The authors discuss various types of cyber threats, including viruses, espionage, DDoS attacks, phishing, system failures, and others. They emphasize the importance of developing effective mechanisms for detecting and responding to attacks, as well as the need to create monitoring and event analysis systems for timely responses to potential threats. The article also presents various methodologies for cybersecurity analysis, including system architecture research, threat modeling, vulnerability and attack identification, calculating the probabilities of exploiting vulnerabilities, modeling malicious behavior, and risk assessment. Advanced practices and technologies in the field of cybersecurity are also discussed in the article, including data encryption, biometric technologies, artificial intelligence, and machine learning for predicting and detecting cyber-attacks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cyber attacks

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