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共 18500 条记录，以下是41-50 订阅

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A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster 15

A Framework for Real-Time Monitoring of Power Consumption of...

引用

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

作者： Krechowicz, Adam Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology al. 1000-lecia PP 7 Kielce Poland

ISBN: (纸本)9789897587474

This paper proposes a framework for real-time monitoring of the power consumption of distributed calculation on the nodes of the cluster. The framework allows to visualize and analyze the provider results based on the context information about the performed calculation. The first part of the framework is devoted to monitoring the power consumption during the execution of machine learning algorithms and the performance of NoSQL storage. The second part is dedicated to the testing of distributed data storage, called Scalable Distributed Two-Layered Data Structure (SD2DS). The results show that the framework can be used in the development of a management system that could schedule computations to take full advantage of renewable energy. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Cluster computing

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Evaluation of UAV Path Planning Approaches for Urban Air Mobility 3

Evaluation of UAV Path Planning Approaches for Urban Air Mob...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Pasha, Tanzeem Shri Hari, M. Shreeram, K.R. Bhuvana Suganthi, D. Munavalli, Jyoti Raghavendra Bnm Institute of Technology Dept. of Electronics & Communication Engineering Bengaluru India

ISBN: (纸本)9798331515911

In contemporary society, it is pertinent to address the feature of the Urban Air Mobility (UAM), a new mode of urban transport, whereby unmanned aerial vehicles transport people and goods with the view to rendering relief to ground traffic congestion. However, challenging as it may be, the deployment of the UAVs within the confines of the urban built environment is complex. In this systematic review, we provide state-of-the-art developments found in multi-UAV path planning for UAM. We highlight the different aspects of navigation strategies, cooperative algorithms, optimization methods, as well as collision avoidance techniques over the years. In total, we conducted analyses on thirty recent studies, such as those that deal with the combination of machine learning, bio-inspired algorithms, and other environmental-induced factors involved in the path planning process. The review results exhibit significant advances in navigation-aware planning, cooperative systems, advanced optimization techniques, and real-alive applications. However, while all these have been achieved, adaptations in real-time, dynamic environment management, and the integration of learning-based methods with conventional control methods are challenges that have continued to be faced. Future research will propose directions to fill in these gaps to further the progress towards developing efficacious, safe, and sustainable urban air transportation systems. © 2025 IEEE.

关键词： Traffic congestion

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27th international conference on advanced communications Technology: Toward Secure and Comfortable Life in AI Cambrian Explosion Era!!, ICACT 2025 - Proceedings

27th International Conference on Advanced Communications Tec...

引用

27th international conference on advanced communications Technology, ICACT 2025

ISBN: (纸本)9791188428137

The proceedings contain 86 papers. The topics discussed include: predicting academic procrastination among university students using autoencoder model;design of metaverse-supported blockchain test process;implementation of IoT-based control system for maintenance operation of long-distance air pollution prevention device RTO;radar pulse repetition interval estimation based on blind source separation;communication countermeasure strategy decision-making based on incomplete information game;anti-jamming weighted clustering algorithm for UAV-mounted weapon self-organizing network;load balancing in cloud computing based on ant colony optimization and crow search algorithm;demand forecasting in transportation: a graph attention networks for predicting bus ridership;and foundation models: from current developments, challenges, and risks to future opportunities.

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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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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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AI-based Pneumonia Detection using a Deep Context Axial Reverse Capsule Neural Network with Sea-Horse Optimizer 3

AI-based Pneumonia Detection using a Deep Context Axial Reve...

引用

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

作者： Mohideen AbdulKader, M. Tuteja, Ankush Joshi, Darsh Tholath, Joshua Bobby Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu Chengalpattu India

ISBN: (纸本)9798331527549

Pneumonia detection with AI uses advanced deep learning algorithms for identifying the patterns in the chest X-ray images which makes diagnosis faster and efficient for physicians. AI-powered radiography improved the diagnostic approaches, even then existing methods face some limitations such as reduced accuracy and high computational costs. The Deep Context Axial Reverse Capsule Neural Network with Sea-Horse Optimizer (ADpCARCNNet+SHO) for pneumonia detection is proposed to overcome these challenges. This framework processes chest X-ray images from the Chest X-ray 14 dataset, beginning with Color Wiener Filtering (CWF) for noise reduction. Key features are then extracted using the Dynamic Range Quantized Discrete Haar Wavelet Transform (DRQDHWT), followed by classification using the ADpCARCNNet, optimized with the Sea-Horse Optimizer (SHO) to ensure high precision. Proposed method achieves a remarkable 99.9% accuracy on the Chest X-ray 14 dataset, outperforming existing techniques. The results demonstrate improved diagnostic accuracy, faster image analysis, enhanced reliability, and reduced computational cost, highlighting the potential of the ADpCARCNNet+SHO framework for efficient and reliable AI-driven pneumonia detection. © 2025 IEEE.

关键词： Diagnostic radiography

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Application and optimization of networked battery maintenance mode in power system

Application and optimization of networked battery maintenanc...

引用

2024 international conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024

作者： Duan, Xuesong Zhang, Jinjia Li, Yuhao Li, Hongchao Wang, Wei State Grid Henan Electric Power Company State Grid Zhenping County Power Supply Company 474250 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

Traditional battery maintenance methods have some problems, such as low efficiency, difficult to find potential problems in time and accurately, which affect the stability and reliability of power system. This paper studies the application and optimization of networked battery maintenance mode in power system. By integrating sensor technology, network communication and data analysis, this mode realizes real-time monitoring and maintenance automation of battery state. Aiming at the challenges of lack of real-time and accuracy, optimization strategies such as deploying 5G base stations, adopting advanced algorithms and machine learning technologies are proposed. In addition, a big data analysis platform based on cloud computing is built, and machine learning and data mining are used to predict battery performance decline, and intelligent maintenance algorithms are developed. Experiments show that this mode improves voltage stability, capacity retention and internal resistance control, reduces maintenance cost and improves efficiency. These achievements provide theoretical and practical guidance for the stable operation of power system and efficient maintenance of battery. © 2025 SPIE.

关键词： Batteries Data transmission Resistance Data analysis Data modeling Machine learning Telecommunications Cloud computing Decision making Reliability

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ICDCN 2025 - Proceedings of the 26th international conference on Distributed computing and Networking

ICDCN 2025 - Proceedings of the 26th International Conferenc...

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

ISBN: (纸本)9798400710629

The proceedings contain 63 papers. The topics discussed include: a cognitive resource aware orchestration of network services for 5G and beyond;multi-stream TSN gate control scheduling in the presence of clock synchronization;on-demand multi-node partial charging scheme using multiple wireless charging vehicles in WRSN;renting servers for multi-parameter jobs in the cloud;advanced method for flow frequency estimation and top-k heavy hitters detection in SDN leveraging programmable switch;mixing entanglement swapping and hop-by-hop transmission on heterogeneous quantum networks;federated learning-enabled network incident anomaly detection optimization for drone swarms;and deterministic collision-free exploration of unknown anonymous graphs.

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advanced Encryption Techniques for Protecting Sensitive Data in Multi Cloud Architecture: A Security First Approach 1

Advanced Encryption Techniques for Protecting Sensitive Data...

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

作者： Anand, V. Saravanan, N. Mahendiran, A. School of Computing SASTRA Deemed University Tamil Nadu Thanjavur India Srinivasa Ramanujam Centre SASTRA Deemed University Tamil Nadu Kumbakonam India Thanthai Hans Roever College Tamil Nadu Perambalur India

ISBN: (纸本)9798331518578

'Cloud computing' refers to a broad range of computer ideas that include several PCs linked by a real-time transmission network, such the internet. Cloud computing is a new paradigm that has drawn a lot of attention from researchers recently due to its potential to lower computing expenses. This study compares RSA, AES, and a technique that combines both of them. The effectiveness of these methods is examined in relation to encryption and decryption times for various data set sizes. The experiment was designed to be replicable and was conducted on standardised devices using the Mathematical writing and analysis tool, which is based on the Wolfram Language. In this experiment, encryption and decryption speeds were tested and compared for data sizes ranging from 64 to 176 bytes. As a second indicator of the algorithms' performance, the number of iterations each algorithm completed was also counted. The results demonstrate that AES had the fastest encryption and decryption times, and that the hybrid model had the greatest features of both RSA and AES in terms of speed and security. With encryption times of 0.10 ms and 0.20 ms for 64-byte and 176-byte data, respectively, the hybrid approach provided a balanced performance. AES outperformed RSA in throughput by up to 4 times and the hybrid technique by up to 2 times. According to these results, the hybrid technique successfully strikes a balance between speed and security, even though AES is best for speed. © 2025 IEEE.

关键词： Cloud computing Decryption Encryption Hybrid RSA

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Quantum Dots in Modern Medicine: Advancing Imaging, Diagnostics, and Drug Delivery 3

Quantum Dots in Modern Medicine: Advancing Imaging, Diagnost...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Srinivas, Sriraksha Parinitha, D.K. Padmanabha, Pujitha Paul, Sudip Sankpal, Priya R. Bnm Institute of Technology Dept. of Electronics and Communication Eng. Bengaluru India North-Eastern Hill University Department of Biomedical Engineering Shillong India

ISBN: (纸本)9798331515911

Quantum Dots (QDs) are transforming drug delivery with advanced modalities like targeted therapies, controlled release systems, and theranostics. They enable precise drug transport, reduce side effects, and allow real-time monitoring, particularly in cancer therapy. Innovations such as dendrimers and carbon nanotubes enhance their ability to deliver multiple or water-insoluble drugs, showcasing their potential in modern medicine. The adoption of Quantum Mechanics (QM) in pharmaceutical research accelerates drug discovery by enabling precise simulations of drug-receptor interactions and optimizing molecular designs. Techniques like Density Functional Theory (DFT) and machine learning integration enhance efficiency, reduce costs, and improve the safety of therapeutic candidates, driving innovation in drug development. © 2025 IEEE.

关键词： Drug interactions

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