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Artificial intelligence based Monte Carlo model for epidemic forecasting for societal aspect 2nd

Artificial intelligence based Monte Carlo model for epidemic...

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2nd international conference on Next-Generation computing and Information Systems, ICNGCIS 2023

作者： Vijayakumar, M. Batla, Yana Soni, Mukesh Raparthi, Mohan Sameen, Aws Zuhair Degadwala, Sheshang Department of Computer Technology NANDHA Arts and Science College Erode India Department of Electronics and Communication UIET Chandigarh India Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Tathawade Pune India Alphabet Life Science DallasTX United States College of Medical Techniques Al-Farahidi University Baghdad Iraq Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

After the domestic new crown pneumonia (COVID-19) epidemic has stabilized, the imported people and goods carrying the virus may lead to a slight rebound in the domestic epidemic. Using this model, the second epidemic situation in a city was simulated. The impact of the epidemic’s spatial spread and quantitative growth was analyzed using the closure and control measures at different spatial scales (community closure and control, district and county closure and control). The study results show that the first 3 to 5 days after the appearance of an infected person is the best time for containment and control. The effects of the two modes are similar, so they are suitable for dealing with the single-point burst mode. Combined with the analysis results, suggestions are made for formulating closure and control measures after the epidemic rebounds. © 2025 The Author(s).

关键词： Viruses

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Coordinated differential steering control of distributed drive unmanned vehicle based on multi-agent 7

Coordinated differential steering control of distributed dri...

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2024 7th international conference on Power Electronics and control Engineering, ICPECE 2024

作者： Niu, Qiang Wei, Wenjun School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China

For a hub motor distributed drive electric vehicle (DDEV) with unmanned driving in complex environments, a multi-agent coordinated differential steering control strategy is proposed. Using a modular approach, an independently controllable hub motor wheel is used as the actuator unit, which is equipped with an independent motor controller and is considered as a whole as an agent unit. Then, a multi-agent differential steering model is established, and the agent decides on reasonable driving torque through communication so that differential steering can be realized more quickly while ensuring the stability of the whole vehicle. MATLAB/Simulink and CarSim were used for joint simulation to verify the control strategy in typical working conditions. The results show that the proposed control strategy can effectively achieve differential steering and provides a novel control method for DDEV. © Published under licence by IOP Publishing Ltd.

关键词： Electric variables control

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025 - Proceedings

11th Vienna International Conference on Mathematical Modelli...

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injection molding;empirical modeling of unsteady bulging in continuous slab casters;computationally efficient optimal control problem formulation illustrated by automotive applications;modelling of an underground electric vehicle cycle for battery sizing analysis using Modelica;physics-informed sparse gaussian processes for model predictive control in building energy systems;application of recurrent neural networks for predictive modeling of electrical submersible pumps in oil extraction;and digital twin for autonomous decision-making in gas lift operations: improving reliability and adaptability.

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DIAG: A Refined Four-layer Agile Hardware Developing Flow for Generating Flexible Reconfigurable Architectures 25

DIAG: A Refined Four-layer Agile Hardware Developing Flow fo...

引用

30th Asia and South Pacific Design automation conference, ASP-DAC 2025

作者： Hui, Haojia Gu, Jiangyuan Hu, Xunbo Wei, Shaojun Yin, Shouyi School of Integrated Circuits Tsinghua Univ. Beijing China Integrated Circuit Research Platform International Innovation Center of Tsinghua Univ. Shanghai China

ISBN: (纸本)9798400706356

Rapid evolution in application algorithms, exemplified by advancements in artificial intelligence, wireless communication, and sciencific computing, necessitates a focus on developing energy-efficient, highly-flexible parallel computing architectures. This urgency is further amplified by the need for agile hardware development techniques to mitigate design complexity and reduce costs. Among emerging agile hardware development techniques, generative HDL stands out due to its straightforward grammatical structure and compatibility with hardware design thinking, yet it remains underutilized. In response, this paper introduces a novel four-layer agile developing flow, termed DIAG, innovatively leveraging unique Plugin-Service technology. The DIAG framework is applied to an extensible reconfigurable architecture generator, enabling the generation of diverse CGRA designs suitable for accelerating task computations across multiple application domains. Our comprehensive experiments on the CGRA generator design validate the efficiency of the DIAG flow and underscore generative-HDL's significant potential for complex, large-scale hardware development. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Reconfigurable architectures

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Optimizing Railway Signaling and Platform Management with LoRaWAN, RFID and automation Technologies 4

Optimizing Railway Signaling and Platform Management with Lo...

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Sarvade, Samarth Shirwal, Vijaykumar Kugaonkar, Parth Mudgonda, Kartik Department of Electronics & Telecommunication Nagesh Karajagi Orchid College of Engineering and Technology Solapur India

The integration of advanced communication and automation technologies provides a transformative approach to enhancing railway signaling and platform management. This system utilizes real-time data exchange to optimize train positioning, platform allocation, and overall network operations. Leveraging long-range, low-power communication protocols such as LoRaWAN, the solution enables seamless and reliable coordination between trains and stations, reducing delays, enhancing safety, and improving the precision of platform management. Additionally, RFID technology is employed to enhance accuracy in monitoring train movements and platform occupancy, ensuring smoother and more efficient operations. The system architecture facilitates more effective resource management by automating key processes such as train scheduling and platform allocation, ultimately minimizing energy consumption and lowering operational costs. With improved communication accuracy, faster response times, and robust system reliability, the proposed solution addresses critical challenges faced by modern railway systems. This approach is designed to be scalable and adaptable to the evolving demands of large railway networks, including Indian Railways, providing a future-proof strategy for optimizing performance and sustainability. By modernizing traditional operations and improving efficiency, the system offers a comprehensive upgrade for both freight and passenger rail services, ensuring long-term operational resilience. © 2025 The Authors. Published by Elsevier B.V.

关键词： Railroads

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Multi-Stream TSN Gate control Scheduling in the Presence of Clock Synchronization 25

Multi-Stream TSN Gate Control Scheduling in the Presence of ...

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26th international conference on Distributed computing and Networking, ICDCN 2025

作者： Ghosh, Aviroop Yousefi, Saleh Kunz, Thomas Carleton University OttawaON Canada Urmia University Urmia Iran

ISBN: (纸本)9798400710629

With the advancement of technologies like Industry 4.0, communication networks must meet stringent requirements of applications demanding deterministic and bounded latencies. The problem is further compounded by the need to periodically synchronize network devices to a common time reference to address clock drifts. Existing solutions often simplify the problem by assuming either perfect synchronization or a worst-case error. Additionally, these approaches delay the scheduling process in network devices until the scheduled frame is guaranteed to have arrived in the device queue, inducing additional delays to the stream. A novel approach that completely avoids queuing delays is proposed, enabling it to meet even the strictest deadline requirement. Furthermore, the scheduling approaches can be enhanced by incorporating network-derived time-synchronization information. This is not only convenient for meeting deadline requirements but also improves bandwidth efficiency. © 2025 Copyright held by the owner/author(s).

关键词： Integer programming

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A Hybrid Approach Using Cryptography and K-Least Significant Bit Steganography Algorithm in Cloud computing 1

A Hybrid Approach Using Cryptography and K-Least Significant...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Goyal, Anshika Gupta, Bhumika VMSB Uttarakhand Technical University Dept. of Computer Science & Engineering Dehradun India G.B. Pant Institute of Engineering & Technology Dept. of Computer Science & Engineering Pauri India

ISBN: (纸本)9798331518578

The exponential growth of communication technologies has broadened the cloud computing ecosystem horizon to meet main communication needs. However, in-parallel upsurge in online attacks has alarmed industries to ensure optimal data security. The combination of steganography and cryptosystems has been recognized as an enhanced security model for data transfer among the main security systems now in use. In this paper, a hybrid approach using cryptography and K- Least Significant Bit Steganography algorithm in Cloud computing (HYBC-KLSBS-CC) are proposed. Initially, input text data is retrieved from cloud storage and compressed using Huffman Compression Coding (HCC) to reduce data size. The compressed data is then encrypted with a Hybrid Cryptography Algorithm (Hyb-MRFC-ALC), combining Modified Random Fibonacci Cryptography and Asymmetric Lightweight Cryptography to ensure robust encryption. Finally, encrypted data is embedded within an image using the K-Least Significant Bit (KLSB) steganography technique, providing additional layer of security. The proposed method enhances data confidentiality, integrity, and storage efficiency in cloud environments. The proposed HYBC-KLSBS-CC approach attains 26.89%, 29.49% and 18.64% lower PSNR and 26.89%, 29.49% and 18.64% lower MSE when analyzed through existing techniques like data security dependent on cryptography steganography related with OTP procedure and Huffman coding in the cloud environment (CS-OTP-CE), a novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control (AES-OTP-RSA-CC) and Crypto-Stegno dependent model for securing medical information on IOMT platform (CS-SMI-IOMT). © 2025 IEEE.

关键词： Cloud platforms

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A Study on LiFi and Visible Light Data Connectivity Exploring High-Speed, Secure Data Transmission in Wireless communication

A Study on LiFi and Visible Light Data Connectivity Explorin...

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2025 international conference on Intelligent control, computing and communications, IC3 2025

作者： Sharma, Swati Chandrashekar, Rakesh Begum, Rowsonara Singh, Navdeep Inti, Lakshmi Bindhu Shakir, Sarah Abbas Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India New Horizon College of Engineering Bangalore India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India Griet Department of Information Technology Bachupally Telangana Hyderabad India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq

ISBN: (纸本)9798331527495

As an innovative wireless communication technology, LiFi, derived from visible light to transmit data, will be a new choice of alternative to classical radio frequency (RF) communications. Data can be transferred backward and forth between the user and a computer with high speed using rapid modulation of LED light bulbs, a technique known as LiFi. An Internet of Things (IoT) based visible light data connectivity system for efficient data transmission over LiFi technology is introduced in this paper in the form of IoTVLDC. Visible light communication (VLC) smart systems are called LiFi., they make use of enhanced bandwidth and resistance to electromagnetic interference. LiFi can operate within the 60 GHz spectrum and achieves data rates in excess of 10 Mbps, compared to the several Mbps reacheable through conventional WiFi systems. Several gaps exist: in particular, how LiFi performs in dynamic environments and energy efficiency metrics, as well as how it can coexist with RF based systems. This study will then evaluate these aspects and propose a hybrid system that combines traditional technologies and LiFi to provide seamless connectivity between lit and non lit. The study will also examine the possibility of its use in real world IoT applications, for example smart homes, industrial automation and secure communications in networks. This paper will demonstrate through extensive experimentation that LiFi technology can provide sustainable, secure, and more efficient communication solutions for the future of wireless networking. © 2025 IEEE.

关键词： Bandwidth

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Job Generator for Evaluating and Comparing Scheduling Algorithms for Modern GPU Clouds 15

Job Generator for Evaluating and Comparing Scheduling Algori...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Konopa, Michal Fesl, Jan Beránek, Ladislav Department of Data Science and Computing Systems Faculty of Agriculture and Technology University of South Bohemia České Budějovice Czech Republic

ISBN: (纸本)9789897587474

The steep technological and performance advances in GPU cards have led to their increasing use in data centers in the recent years, especially in machine learning jobs. However, high hardware performance alone does not guarantee (sub) optimal utilization of computing resources, especially when the cost associated with power consumption also needs to be increasingly considered. As consequence of these realities, various job scheduling algorithms have been and are being developed to optimize the power consumption in data centers with respect to defined constraints. Unfortunately, there is still no known, widely used, parametrizable dataset that serves as a de facto standard for simulating scheduling algorithms and the resulting ability to compare their performance against each other. The goal of this paper is to describe a simple job set generator designed to run on modern GPU architectures and to introduce the newly created data set suitable for evaluation the scheduling algorithms. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Scheduling algorithms

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Robust and Optimal control of Quanser Aero

Robust and Optimal Control of Quanser Aero

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Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Mushitha L Anil Kumar K K Sri Priyadharshini B S Department of Electronics and Instrumentation Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This paper presents the implementation and comparative study of Model Predictive control (MPC) and Sliding Mode control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate precise pitch and yaw control with the aim of minimizing settling time, eliminating steady-state error and reducing chattering effect in the output response. Simulation and hardware results are validated to compare their performance and highlight the trade-offs in real-time applications. The SMC enhanced robustness and reduced chattering, whereas MPC ensured smooth transient response with optimal control. These findings help us with the feasibility of implementing control methods in aerospace and robotics applications.

关键词： Accuracy Optimal control Hardware Real-time systems Robustness Steady-state Delays Transient analysis Sliding mode control Predictive control

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