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检索条件"任意字段=International Conference on Computing Communication Control and Automation"

共 63738 条记录，以下是211-220 订阅

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ST-FLAM: Evaluating Performance of Deep Learning Models on Mobility Patterns for EVD Forecasting based on Spatio-Temporal Feature Learning 24

ST-FLAM: Evaluating Performance of Deep Learning Models on M...

引用

13th international conference on Networks, communication and computing, ICNCC 2024

作者： Fofanah, Abdul Joseph Sankoh, Albert Patrick Dumbuya, Ibrahim Kamara, Alpha Alimamy Conteh, Zachariyah Bai School of Information and Communication Technology Griffith University BrisbaneQLD Australia Khoury College of Computer Science Northeastern University BostonMA United States School of Technology Njala University Western Area Freetown Sierra Leone College of Computer Science and Technology Central South University Hanan Changsha China

ISBN: (纸本)9798400717352

Ebola Virus Disease (EVD) is a highly contagious and fatal disease that poses a serious threat to public health and security. Accurate and timely forecasting of EVD outbreaks is essential for effective prevention and control measures. However, traditional epidemiological models often fail to capture the complex and dynamic nature of human mobility, which plays a key role in EVD transmission. In this paper, we propose a novel framework for EVD forecasting based on spatio-temporal feature learning called ST-FLAM. We use various types of mobility data, such as phone records, Global Positioning System (GPS) traces, and social media posts, to extract meaningful and representative features that reflect the mobility patterns of individuals and populations. Next, we employ ST-FLAM architectures, which incorporate Graph Neural Networks (GNN) and Long Short Term Memory (LSTM), to establish connections and dependencies between mobility features and EVD cases in both space and time. We evaluate the performance of our framework on real-world datasets from the 2014-2016 West Africa EVD outbreak and the 2015-2016 EVD and human mobility in Sierra Leone. We compare our framework with baseline methods to handle traditional epidemiological challenges during an outbreak. We conduct ablation studies and analyse the impact of different mobility data sources, feature extraction methods, and deep learning architectures on EVD forecasting accuracy. Our results show that our framework outperforms the baselines and achieves state-of-the-art performance in EVD forecasting. We also demonstrate that our framework can provide interpretable and actionable insights for EVD prevention and control. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Diseases

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Autonomous Attention Feedback Network (AAFN) Based Super-Resolution for Potato Leaf Disease Detection

Autonomous Attention Feedback Network (AAFN) Based Super-Res...

引用

international conference on Systems, control and automation, ICSCA 2023

作者： Yeswanth, P.V. Khera, Ananya Deivalakshmi, S. Department of Electronics and Communication Engineering National Institute of Technology Tiruchirappalli India Department of Electronics and Communication Engineering Government Polytechnic Parvathipuram Andhra Pradesh Nissankapuram India

ISBN: (纸本)9789819773831

Crop diseases caused by a variety of fungi, viruses, bacteria and insects has been a serious problem that requires global attention for generations. Therefore, as soon as crop disease diagnosis should be done to prevent yield loss and increase monetary value. In this paper, the Autonomous Attention Feedback Network (AAFN) model is proposed to produce Super Resolution images. The proposed AAFN model obtained PSNR 30.35, 36.469, 37.846 and SSIM 0.7262, 0.9934, 0.9395 for super-resolution factors 2, 4 and 6 respectively, with classification accuracies of 99.73, 98.62 and 97.18. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Plant diseases

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Autonomous Indoor Navigation using Nav2 3

Autonomous Indoor Navigation using Nav2

引用

3rd international conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2025

作者： Sumathi, K. Ajay Balaji, L. Danaraj, A.P. Deepaganesh, M. Department of Electronics and Communication Engineering KIT-KalaignarKarunanidhi Institute of Technology Coimbatore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527549

The project focuses on the design, development, and implementation of an Autonomous Mobile Robot (AMR) system specifically tailored for warehouse environments. The escalating demand for efficient warehouse management, driven by the e-commerce boom, necessitates the adoption of automated solutions to overcome challenges like labor shortages and operational inefficiencies. The proposed AMR system integrates advanced sensing technologies, including 2D LiDAR and IMU, with robust navigation and control algorithms to enable the robot to autonomously navigate through dynamic warehouse environments. The core of the system is built upon the ROS 2 framework, providing a robust and flexible platform for development and deployment. The project explores the implementation of Simultaneous Localization and Mapping (SLAM) techniques, utilizing the SLAM Toolbox, to enable the robot to build and update maps of its environment while simultaneously determining its position. Furthermore, the system incorporates advanced path planning algorithms and obstacle avoidance mechanisms to ensure safe and efficient navigation. The project utilizes Gazebo for realistic simulation and validation, allowing for thorough testing and optimization of the AMR system before real-world deployment. This research aims to contribute to the advancement of warehouse automation by developing a cost-effective and efficient AMR system that can significantly improve operational efficiency and productivity. © 2025 IEEE.

关键词： Motion planning

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Analyzing Electrical Characteristics of Semiconductor Devices Using Raspberry PI and Python

Analyzing Electrical Characteristics of Semiconductor Device...

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

作者： R. Rajkumar K. Poojashree S. Suresh Krishna M. Vignesh Dept. of Electronics and Instrumentation Engineering Kongu Engineering College Perundurai Erode India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Characterizing three-terminal semiconductor devices is critical for optimizing analog circuit designs and enhancing system performance. The system is developed for an economical, portable, and efficient system for accurate electrical measurements of semiconductor devices. The system is controlled using the Python software for high-level control that communicate with the Raspberry Pi for intermediary data processing, and an Arduino Nano for precise hardware interfacing that in turn control the AD5761 16-bit digital-to-analog converter (DAC) for voltage control and an INA219 high-side shunt resistor for Measuring the current through a device under test (DUT). The system facilitates real-time acquisition of device characteristics and plots I-V curves for detailed analysis. Additionally, the system serves as a pretest kit for evaluating the electrical behavior of semiconductor devices before their integration into larger circuits. The proposed approach demonstrates significant improvements in cost, size, and portability while ensuring high measurement accuracy.

关键词： Semiconductor device measurement Accuracy Voltage measurement Semiconductor devices Current measurement Real-time systems Nanoscale devices Voltage control Python Testing

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Evaluating Lightweight Asymmetric Cryptography for Secure communication in Internet of Drones 4

Evaluating Lightweight Asymmetric Cryptography for Secure Co...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Nanda, Ashok Kumar Marukanti, Srihari Reddy Harish, Upendram Dheeraj, Bavanari Venkata Adoni, Bindu Sree Reddy, Chadala Raghavendar Nanda, Shivangi CSE Department B V Raju Institute of Technology Vishnupur Narsapur Medak Telangana Greater Hyderabad502313 India School of Electronics Engineering VIT-AP University Beside AP Secretariat Andhra Pradesh Amaravathi522241 India

ISBN: (纸本)9798331530402

Unmanned aerial vehicles (UAVs) are being successfully used in a variety of applications, including agriculture, search and rescue operations, surveillance systems, and mission-critical services, thanks to some technological and practical advantages, such as high mobility, the ability to extend wireless coverage areas, or the capacity to reach locations inaccessible to humans. In contrast, attacks against drones, as opposed to traditional cyberattacks, typically happen as a result of serious design flaws and a lack of wireless security protection meth- ods. The study examines lightweight asymmetric cryptographic algorithms for secure Internet of Drones (IoD) communication, addressing cybersecurity challenges within this emerging technology. It evaluates RSA, ElGamal, Diffie-Hellman, and Elliptic Curve Cryptography (ECC), focusing on their suitability for IoD through comparative analysis of calculation time, memory usage, key size, and security. The goal is to contribute to developing robust, efficient, and secure communication protocols for IoD, promoting growth while mitigating risks. This research is pivotal for the advancement of IoD security, exploring the application of these cryptographic techniques to ensure secure, efficient operations within the IoD framework. © 2025 IEEE.

关键词： Target drones

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Towards Optimizing Cost and Performance for Parallel Workloads in Cloud computing 15

Towards Optimizing Cost and Performance for Parallel Workloa...

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

作者： Maas, William Rossi, Fábio Diniz Luizelli, Marcelo C. Navaux, Philippe O.A. Lorenzon, Arthur F. Institute of Informatics Federal University of Rio Grande do Sul Brazil Federal Institute Farroupilha Campus Alegrete Brazil Federal University of Pampa Campus Alegrete Brazil

ISBN: (纸本)9789897587474

The growing popularity of data-intensive applications in cloud computing necessitates a cost-effective approach to harnessing distributed processing capabilities. However, the wide variety of instance types and configurations available can lead to substantial costs if not selected based on the parallel workload requirements, such as CPU and memory usage and thread scalability. This situation underscores the need for scalable and economical infrastructure that effectively balances parallel workloads’ performance and expenses. To tackle this issue, this paper comprehensively analyzes performance, costs, and trade-offs across 18 parallel workloads utilizing 52 high-performance computing (HPC) optimized instances from three leading cloud providers. Our findings reveal that no single instance type can simultaneously offer the best performance and the lowest costs across all workloads. Instances that excel in performance do not always provide the best cost efficiency, while the most affordable options often struggle to deliver adequate performance. Moreover, we demonstrate that by customizing instance selection to meet the specific needs of each workload, users can achieve up to 81.2% higher performance and reduce costs by 95.5% compared to using a single instance type for every workload. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Parallel processing systems

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Enhancing Cellular IoT Access with Multi-Hop Uplink NOMA, and Mobile Edge computing for Smart Cities 3

Enhancing Cellular IoT Access with Multi-Hop Uplink NOMA, an...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Ramkumar, G. Saveetha University Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331509675

An Internet of Things (IoT) network is made up of multiple connected devices to collect and exchange information over the Internet for remote monitoring and control. IoT has drawbacks such as data security vulnerabilities posed by networking devices, data protection issues associated with data collection and sharing, and interoperability challenges among different IOT platforms and devices. A Global Channel Matching (GCM) algorithm is integrated into the Enhancing Cellular IoT Access with Multi-Hop Uplink NOMA, and Mobile Edge computing for Smart Cities (ECMMS) in this article, which aims to optimize relay transmission links for use in IoT networks. In a smart city environment, the GCM algorithm is designed to mimic Firefly behavior and dynamically adjust relay placement for network efficiency and interference reduction. The network model includes IoT devices connected to a Virtual Mobile Edge computing (MEC) fabric to facilitate task offloading and distributed computing. The proposed framework aims to improve computational efficiency by creating virtual servers that use networked IoT devices based on task requirements. ECMMS has demonstrated through detailed simulations and evaluations that it is more effective in optimizing relay selection, reducing interference, and achieving optimal data rates, which supports the scalability and reliability of IoT applications in smart city infrastructure. Using these parameters with discussed the overcomes of our ECMMS model when compared to MNMD, SHBT, and IHAG models. Such as packet loss, average throughput, average end-to-end delay, energy efficiency, and data success rate where calculate. Here packet loss and data success rates are high rates of 99 % and 95.74 %. Were average throughput, energy efficiency, and average end-to-end delay archives low efficiency of 71.02, 254.06, and 254.06 are calculated. © 2025 IEEE.

关键词： Mobile edge computing

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Enhancing Cross-Domain Access Efficiency in Zero-Trust Scenarios Oriented to the Access Process

Enhancing Cross-Domain Access Efficiency in Zero-Trust Scena...

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Electrical automation and Artificial Intelligence (ICEAAI), international conference on

作者： Xian Li Shijun Zhang Jing Zeng Shuo Li Ruxia Yang State Grid Jibei Information & Telecommunication Company State Grid Beijing China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology China Electric Power Research Institute Nanjing China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

During cross-domain access, both communication ends need zero-trust evaluation by the trust assessment node and policy matching for permission. Nodes handling these may face concurrent computing and policy search tasks that need to be performed. We propose a new method to enhance security and efficiency. By introducing a trust hash value from access-end features and optimizing the policy tree, along with a better trust calc method, experiments show improved cross-domain access efficiency and accuracy, offering a new view for power grid services.

关键词： Concurrent computing Accuracy automation Power system dynamics Decision making Process control Authentication Power grids Zero Trust Faces

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Design and Optimization of an IR-Based automation System with Telegram Bot Integration for Remote Device control 4

Design and Optimization of an IR-Based Automation System wit...

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4th international conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Adnan Sharar Oyon, Md. Shihab Himel, Abid Hasan Mredul, Khaliduzzaman Ahmed, Abir Ali, M Tanseer Hossainl, Chowdhury Akram Rahman, Md. Abdur Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Dhaka Bangladesh Dept. of Computer Engineering Dhaka Bangladesh

ISBN: (纸本)9798331530938

automation is advancing rapidly, with infrared (IR) communication being a key method for controlling electronic devices. Despite this, challenges remain in optimizing IR controllers for consistent performance across varying angles and task loads. A 3D design and a robust algorithm have been developed to enhance the system's accuracy, while security is ensured by matching a unique TOKEN with the Telegram bot for each session. Error rates were analyzed across different angles, with specific zones determined based on performance. Minimal error rates defined the working zone, while higher rates indicated critical and invalid zones. Error rates increased as the transmitter moved further from the optimal angles, such as a 0-6 % error rate when operating within a 0° - 5° range. Reaction time was calculated across multiple tasks, showing an average of 5 seconds per command. Mismatch rates, observed during higher task loads, rose sharply when handling many tasks. For instance, the mismatch rate was 0 % for 12 tasks but 20 % when executing 20 tasks. Performance evaluations demonstrated optimal IR signal strength for reliable control within a distance of 10 to 15 inches, with diminishing effectiveness beyond 20 inches. These findings provide a foundation for developing more reliable and efficient IR control systems for practical applications. © 2025 IEEE.

关键词： Bot (Internet)

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Cloud Based Automated control System Workshops and Rooms for controlling Parameters 1

Cloud Based Automated Control System Workshops and Rooms for...

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

作者： Kumar, Dinesh Kuntal, Ravinder Singh Deep, Pragya Chamoli, Anup Shekhar Singh, Pinki Mandal, Rishabh SRM Institute of Science & Technology Department of Computer Science and Engineering UP Ghaziabad India Nitte Meenakshi Institute of Technology Department of Mathematics Karnataka Bangalore India IIMT College of Engineering Department of AI & DS Greater Noida India Uttaranchal School of Computing Sciences Uttaranchal University Dehradun248001 India Accurate College of Engineering & Management Department of Computer Science and Engineering Greator Noida India Tula's Institute Department of Computer Science and Engineering UK Dehradun India

ISBN: (纸本)9798331518578

Across all industries, cloud-based automated control systems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection, processing, and control, this concept presents intelligent, remote-controlled workshops and control rooms. To guarantee accurate control of crucial variables like temperature, humidity, pressure, and equipment efficiency, these systems make use of IoT devices, AI techniques, and big data analytics. Through sophisticated data perspectives, the cloud-based strategy enables predictive maintenance, improves flexibility, and lowers operating expenses. Stakeholders may make prompt, data-driven choices from anywhere with remote access to control rooms. These seminars provide practical experience with cloud-controlled settings and function as training and development centres. The system's flexibility to meet a range of industrial demands is further enhanced by its compatibility with external tools and equipment. The design, deployment, and possible uses of cloud-based control systems are covered in this paper, with an emphasis on how they might promote operational excellence, energy efficiency, and smart manufacturing. © 2025 IEEE.

关键词： Smart manufacturing

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