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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

共 4387 条记录，以下是121-130 订阅

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Analysis and Simulation of Charging/Discharging of Lithium-Ion Battery in Electric Vehicles 3

Analysis and Simulation of Charging/Discharging of Lithium-I...

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3rd IEEE international conference on Power Electronics, Intelligent Control and Energy systems. ICPEICES 2024

作者： Devi, Akhongbam Nerita Kakkar, Sushma Yusuf, Nura Imam Sharda University Department of Electrical Electronics and Communications Enginnering Knowledge Park 3 Greater Noida India

ISBN: (纸本)9798350387193

The increasing adoption of EVs as a sustainable transportation solution has arisen the need of research on performance enhancement of energy storage technologies. Li-Ion batteries play a critical role in driving the widespread acceptance of EV systems. Li-Ion batteries need protection to control overcharged /undercharged condition which improves the life span and efficiency of the battery. Therefore, a suitable control method is needed to improve the protection of the battery. The objective of the paper is to analyse the performance of Li-Ion batteries energy management system by monitoring and balancing the cell voltage. Four control methods are used: Discharging Method using MOSFET, Constant Current method, Constant Voltage method and Constant Current Constant Voltage method. The control strategies on Li-Ion battery banks are implemented using MATLAB Simulink. The CCCV method demonstrates proficient control over battery charging, facilitating a smooth transition from Constant Current to Constant Voltage to prevent overcharging. © 2024 IEEE.

关键词： State of charge

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Experimental research on low noise control of distributed air conditioning unit system 3

Experimental research on low noise control of distributed ai...

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2024 3rd international conference on Energy Utilization and Automation, ICEUA 2024

作者： Zhang, Liang Jin, Linhui Gu, Jialei Lin, Pan Marine Design and Research Institute of China Shanghai200011 China

In response to the current situation of high noise in ship air conditioning cabins, based on the design requirements of a certain type of ship, research on adaptive improvement design of distributed air conditioning unit systems.was carried out. Through research on the research progress of ship air conditioning cabins at home and abroad, combined with existing technologies, in this paper, a cabin environment comfort design based on low noise control was proposed, and a simulation test chamber for distributed air conditioning unit system design verification experiments was built. We studied the low noise control of distributed air conditioning units and the noise characteristics of ship cabins in distributed air conditioning unit systems.under different supply and return air types. We tested and recorded the performance parameters of different design schemes and selected the optimal scheme, providing technical basis and data for the optimization design of actual ship systems. © Published under licence by IOP Publishing Ltd.

关键词： Air conditioning

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2023 3rd international conference on Communication, computing and Digital systems. C-CODE 2023

2023 3rd International Conference on Communication, Computin...

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3rd international conference on Communication, computing and Digital systems. C-CODE 2023

ISBN: (纸本)9798350332391

The proceedings contain 31 papers. The topics discussed include: efficient virtual network embedding with hierarchical and cooperative multi-agent reinforcement learning;testing neurofeedback system for studying cognitive tests;a survey on human factors in cyberspace: a new dimension of privacy threats;user recognition based on gait pattern via smartwatch accelerometer in unrestricted environment;performing walk-through energy audits in smart homes;exploration of machine learning algorithms for development of intelligent intrusion detection systems.chaos-based secured modified strong recovery conditions for least support orthogonal matching pursuit in the noisy case;machine learning technique to monitor heartbeat using amalgamated data of multi-sensor stream;a metadata approach to classify domain-specific documents for event-based surveillance systems.a novel font color and compression text steganography technique;hybrid deep learning approach for nonfunctional software requirements classifications;and consensus MPC-based hierarchical control of islanded AC microgrid.

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Research on Finance Information Sharing Model of Supply Chain Based on Blockchain 3

Research on Finance Information Sharing Model of Supply Chai...

引用

3rd international conference on Artificial Intelligence and Autonomous Robot systems. AIARS 2024

作者： Chen, Yuwei International Business School Fuzhou University of International Studies and Trade Fuzhou China

ISBN: (纸本)9798350376173

With the increasing complexity of global procurement chains, the efficiency and security of financial information sharing have become key to improving procurement chain management. This study aims to explore the application of smart ledger in procurement chain financial information sharing, in order to improve transaction transparency, reduce costs, and enhance the synergy of the procurement chain. This article proposes a blockchain based procurement chain financial information sharing model, which utilizes the distributed ledger and smart contract characteristics of blockchain to achieve efficient information sharing and automated financial transaction processing. By constructing a simulated procurement chain environment, this article evaluated the performance of the proposed model, including transaction processing speed, system security, data consistency, operating costs, and user satisfaction. The experimental results show that smart ledger can effectively improve the efficiency of information sharing in procurement chain finance, enhance transaction transparency, reduce operating costs, and improve user satisfaction. The automatic execution feature of smart contracts reduces manual intervention and improves the efficiency and accuracy of contract management. Smart ledger provides an innovative solution for information sharing in procurement chain finance. The proposed model is theoretically feasible and effective in practice, which can significantly improve the operational efficiency and security of procurement chain finance. © 2024 IEEE.

关键词： distributed ledger

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The 3rd international conference on Frontiers in computing and systems.(COMSYS 2022)

The 3rd International Conference on Frontiers in Computing a...

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The 3rd international conference on Frontiers in computing and systems.(COMSYS 2022)

ISBN: (纸本)9789819926794

The proceedings contain 50 papers. The special focus in this conference is on Frontiers in computing and systems. The topics include: Real-Time Prediction of In-Hospital Outcomes Using a Multilayer Perceptron Deployed in a Web-Based Application;automated Analysis of Connections in Model Diagrams;no-Reference Image Quality Assessment Using Meta-Learning;cryptanalysis of Markle Hellman Knapsack Cipher Using Cuckoo Search Algorithm;generating a Suitable Hash Function Using Sudoku for Blockchain Network;why Traditional Group Key Management Schemes Don’t Scale in Multi-group Settings?;RESPECTO: Now We May Go Alone, Safety is in Our Hand;Enhancing Security Mechanism of MQTT Protocol Using Payload Encryption;recent Trends in Cryptanalysis Techniques: A Review;analyzing Market Dynamics of Agricultural Commodities: A Case Study Based on Cotton;A New Approach to Pharmaceutical Product Verification Using Barcode and QR Code;SmartGP: A Framework for a Two-Factor Graphical Password Authentication Using Smart Devices;Impact of Existing Deep CNN and Image Descriptors Empowered SVM Models on Fingerprint Presentation Attacks Detection;centralized Approach for Efficient Management of distributed Linux Firewalls;An Improved (24, 16) OLS Code for Single Error Correction-Double Adjacent Error Correction-Triple Adjacent Error Correction;a Blockchain-Based Biometric Protection and Authentication Mechanism;Optimizing Throughput Using Effective Contention Aware Adaptive Data Rate in LoRaWAN;ESCA: Embedded System Configuration Assistant;on Detection of Hardware Trojan in Memristive Nanocrossbar-Based Circuits;robust Control of Pulsatile Ventricular Assist Devices for Patients with Advanced Heart Failure;feature Selection for Nepali Part-of-Speech Tagging in a Conditional Random Fields-Based System;Performance Analysis of a Chaotic OFDM-FSO Communication System;Performance Analysis of Multivariate Autoregression Based EEG Data Compressor Circuit;A Wideband CMOS LNA Operating at 4.9–8.9 GHz Us

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A Performance Comparison of Multiple Deep Learning Methodologies in Image to Text Synthesis Tasks 3

A Performance Comparison of Multiple Deep Learning Methodolo...

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3rd international conference on Electronics and Renewable systems. ICEARS 2025

作者： Martinez, Jude Joseph Lamug Winata, Edward Kevin Bina Nusantara International University Computer Science Department Faculty of Computing and Media Central Jakarta11480 Indonesia

ISBN: (纸本)9798331509675

Generating textual descriptions from visual inputs has become a critical area of research in the intersection of computer vision and natural language processing called image captioning. This study deep dives towards comparing a few popular image captioning methodologies, going from traditional encoder decoder architectures to more advanced techniques that incorporate attention mechanisms, transformers, and reinforcement learning. We evaluate the performance of these models on publicly available datasets containing logs from the online community Flickr on several dimensions including caption accuracy, diversity and computational efficiency. Captions are evaluated in terms of both quantitative metric(BLEU, ROUGE-N, METEOR, CIDEr, SPICE) and qualitative analysis(contextual relevance besides creativity) for the caption quality. The results show clear advantages and trade offs of each method, allowing for a holistic assessment of how each approach is suitable for real world problems. Thus, this work sheds important light on the trade offs between model complexity, efficiency and performance in image captioning tasks and provides a useful reference for researchers making similar decisions about model design in similar tasks. © 2025 IEEE.

关键词： Deep reinforcement learning

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Exploration of distributed Power Transaction Mechanism Based on Blockchain 3

Exploration of Distributed Power Transaction Mechanism Based...

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3rd international conference on Networking systems.of AI, INSAI 2023

作者： Zhang, Shiming Ruan, Di Chen, Zhiming Economic and Technological Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou350001 China

ISBN: (纸本)9798350344660

The blockchain based distributed power trading mechanism is an emerging energy trading model that improves the operation of the energy market by utilizing the decentralized, secure, and transparent features of blockchain technology. This article explored a blockchain based distributed power generation market-oriented transaction model, including transaction process and direct transaction mode. Subsequently, the research on consensus algorithms for distributed energy transactions was introduced in detail, including the consensus algorithm framework applicable to distributed energy transactions and the consensus process for distributed energy transactions. Finally, the consensus algorithm was subjected to experimental simulation and result analysis. The IDPOS (Improved Delegated Proof of Stack) consensus algorithm had higher consensus time, throughput, and fault tolerance than the traditional DPOS (Delegated Proof of Stack) consensus algorithm. Through the research in this article, the blockchain based distributed power trading mechanism can be better understood, providing reference and inspiration for the future energy market. © 2023 IEEE.

关键词： Consensus algorithm

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Requirement analysis of remote conference system based on qualitative and quantitative analysis combination 3

Requirement analysis of remote conference system based on qu...

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3rd international conference on Algorithms, Microchips, and Network Applications, AMNA 2024

作者： Yan, Yiping Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781510680098

Remote conference systems.play a crucial role in modern society. In order to design a high-quality system that meets user requirements, accurate analysis and selection of user needs to derive a functional list for the system is particularly important. This study is based on the KANO model and the Better-Worse index model, utilizing a combination of qualitative and quantitative analysis methods. By collecting and analyzing user needs, the aim is to gain a deep understanding of the true requirements for remote conference systems.and identify corresponding features to guide system design and development. The contribution of this study lies in providing a systematic approach for conducting requirement analysis of remote conference systems. © 2024 SPIE.

关键词： Quality control

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An Extensive Analysis of Breast Cancer detection using Deep Learning Algorithms 3

An Extensive Analysis of Breast Cancer detection using Deep ...

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3rd international conference on Automation, computing and Renewable systems. ICACRS 2024

作者： Manoj, Milan Rajan, Akshay Santhosh, Gouri Anjali, T. Sankar, Panchami Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India Symbiosis Institute of Health Sciences Symbiosis International University Pune India

ISBN: (纸本)9798331532420

Breast cancer remains a significant global health concern around the world, where early and accurate detection is essential for improving patient outcomes. This work aims to outdo the traditional diagonosis methods by employing three deep learning models: a fully connected neural network (FCNN), a convolutional neural network (CNN), and a feedforward neural network (FNN). Each model was analyzed for its ability to distinguish between benign and malignant cases using minimal feature variables. Among the models, the FNN showed higher validation accuracy compared to the CNN, which, while proficient at detecting complex patterns, was less effective in structured data. The FCNN, with added dense layers, performed similarly to the FNN, suggesting that the inclusion of dense layers did not significantly enhance the model’s accuracy. This research presents an innovative comparison to recent studies, demonstrating the flexibility and adaptability of neural networks for breast cancer diagnostics. The models’ ability to improve detection accuracy can significantly impact healthcare by providing reliable tools for early intervention. The findings contribute to the growing body of evidence supporting the integration of artificial intelligence into clinical practice, paving the way for more personalized treatment plans, reduced misdiagnosis rates, and overall improved patient care outcomes in cancer detection and treatment. © 2024 IEEE.

关键词： Neural network models

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2023 3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

2023 3rd International Conference on Advance Computing and I...

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

ISBN: (纸本)9798350399264

The proceedings contain 575 papers. The topics discussed include: an analysis of medical images using deep learning;development and construction of an automated sanitizing robot incorporating ultrasonic sensor and sanitizer level detection sensor;mutual user authentication using inherent techniques for cloud and fog computing;design and optimization of downlink massive MIMO system based on OTFS modulation enabling modified 3D-SOMP channel estimation;comparative analysis of performance indicators to improve the quality in Indian educational institutions using Grd ensemble methods;improved algorithm for solar power systems.for efficient tracking system;cryptocurrency trading using machine learning;development of smart grid infrastructure in cybersecurity;development of a sleep monitoring system using cloud computing and big data techniques;and securing international law against cyber-attacks through blockchain integration.

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