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检索条件"任意字段=Conference on Advances in Optical Data Storage Technology"

共 5078 条记录，以下是51-60 订阅

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Development of Digital Telecommunication to Analyse and Store Complex Media data: A Way to data Engineering

Development of Digital Telecommunication to Analyse and Stor...

引用

advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), International conference on

作者： Yesu Ratnam Pachigolla Pflugerville Texas

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

In the era of digital world data flows are saturated with development of universal multifunctional system to solve problems and to optimise the computing resources. The information system is highly loaded with modern data and large number of resources. The user request and heterogeneity of the incoming streams can be evaluated using different types of multimedia services and its requirement for computing resources and its performance with the entire data. The incoming flow of data heterogeneity is considered as the distinctive feature of request in the modern information system to support different types of multimedia services in single platform. Large volumes of data and data heterogeneity Creates numerous problems related to data storage security and the speed of digital system. To address these challenges artificial intelligence technology can be used for execution of digital telecommunication complex for processing and storing the dynamic flow of data that are in multi format. The prospects and trends can be identified to develop these models based on the perspective characteristics. The development of digital communication with multi object analytic system for storing and analysing complex data with data engineering. An fuzzy based model is used for data processing with enhanced accuracy of 98%.

关键词： Memory Multimedia computing Streaming media Media data engineering data processing Communications technology Artificial intelligence Streams Information systems

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Optimization analysis of multi-energy cloud storage integrated with energy conversion systems

Optimization analysis of multi-energy cloud storage integrat...

引用

2024 International conference on Energy technology and Electrical Power, ETEP 2024

作者： Li, Nan Gao, Wenjiu Mu, Hailin School of Energy and Power Engineering Dalian University of Technology Dalian 116024 China

ISBN: (纸本)9781510690400

Aiming at the increasing energy storage users and diversified energy storage methods, this paper proposes a multi-energy cloud energy storage optimal configuration model with demand side response based on electricity, heat and gas. Collect the historical data of the study area, Predict the future scenery contribution by Monte Carlo method;Then we construct a two-layer optimization model, The upper layer constructs the user charging and discharging energy decision model with the objective function of the lowest user cost, The lower level builds the operator decision model with the total profit maximization of the operator as the objective function, With the fixed investment, operation and maintenance, and carbon emission penalty of the multi-energy complementary system as the constraints, CPLEX optimization solver using the YALMIP toolbox in Matlab, Solving the equipment capacity and power configuration in the three scenarios, Comparing the user costs and operator benefits of the three scenarios, The effectiveness of the proposed method is verified. © 2025 SPIE.

关键词： cloud energy storage economic analysis energy conversion systems optimized configuration

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Evaluating Buffer-Based optical Switch Architectures: Feedback vs. Re-Circulating Designs for Enhanced Network Performance

Evaluating Buffer-Based Optical Switch Architectures: Feedba...

引用

Computational Intelligence, Communication technology and Networking (CICTN), International conference on

作者： Amit Sinha Diwakar Bhardwaj Vaibhav Shukla Computer Engineering & Applications GLA University Mathura India Tech Mahindra Mumbai Mumbai India

ISBN: (数字)9798331530389

ISBN: (纸本)9798331530396

This paper presents a performance evaluation of optical switches utilizing feedback and re-circulating type buffer architectures, emphasizing their implications for next-generation optical networks. As data traffic continues to escalate due to advancements in digital applications, traditional electronic switching methods struggle to meet increasing demands for speed and capacity. optical switches offer a compelling alternative by directly routing optical signals, thereby reducing latency and enhancing bandwidth. This paper presents the simulation analysis of feed backward and re-circulating type buffers in terms of throughput and scalability of both feedback and re-circulating buffer-based optical switches under varying traffic conditions. Simulation results confirm that while feedback buffers have low delay due to short storage duration while re-circulating switches demonstrate superior throughput capabilities during peak demand. The findings provide critical insights for network designers in selecting appropriate switching configurations to optimize performance in future optical networks.

关键词： optical switches Simulation Scalability Packet loss Telecommunication traffic optical fiber networks Throughput Routing Stability analysis Delays

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Optimized Hybrid Cryptographic Technique Using Symmetric and Asymmetric Encryption for Cloud Computing

Optimized Hybrid Cryptographic Technique Using Symmetric and...

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advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International conference on

作者： R. Suresh T.R. Nisha Dayana Department of Computer Science Vel's Institute of Science Technology and Advanced Studies Chennai Tamil Nadu India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

Cloud Computing (CC) is an expanding computing concept in which computing resources are given as Internetbased services. Security and confidentiality of cloud storage services are critical and pose a difficulty in cloud computing owing to loss of control over data and reliance on the cloud computing provider. While there is a big number of transmitting data in the cloud system, the risk of data access by attackers raises. CC requires encryption to maintain the privacy and security of data stored, processed, and transported on the cloud. Encryption ensures that confidential information saved in the cloud stays private and accessible only to authorized parties. The field of cryptography is continuously evolving to deal with current challenges in cybersecurity, confidentiality, and computing power. Optimizing encryption algorithms entails enhancing security, performance, and efficiency while reducing resource usage. This study suggests a optimized framework for encryption using RSA, an asymmetric key cryptography for key exchange and Advanced / Encryption Standard (AES), a symmetric key cryptography for bulk message encryption to improve the efficiency of encryption. The suggested models's performance evaluated with RSA with data Encrytpion Standard(DES) and RSA with BlowFish algorithms and the efficiency of RSA with AES is found to more in terms of Execution time, Throughput, memory usage and latency.

关键词： Cloud computing data privacy Memory management Public key Throughput data models Encryption Blockchains Computer security Standards

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Source network load energy storage flow carbon flow analysis method based on multi domain characteristics and CNN

Source network load energy storage flow carbon flow analysis...

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2024 International conference on Energy technology and Electrical Power, ETEP 2024

作者： Sun, Guangzeng Yuan, Bo Lu, Gang Wu, Cong Xia, Peng Gong, Yichun State Grid Energy Research Institute Co. Ltd. Beijing 102209 China

ISBN: (纸本)9781510690400

Due to the correlation relationship in each stage of the integrated energy system of source network load energy storage, it is difficult to guarantee the reliability of the analysis results of energy flow carbon flow. Therefore, a research method of source network load energy storage flow carbon flow analysis based on multi domain characteristics and CNN is proposed. Based on the stage, comb the complete chain of energy in the source network load storage system from input to conversion, and then to final consumption, and deeply integrate the carbon emission data in each subsystem and process to obtain the energy utilization characteristics and carbon emission characteristics of the source network load storage system;After defining the analysis object and classification corresponding to the primary energy processing conversion energy consumption terminal in the hierarchical structure of the main body of the energy flow carbon flow chart, CNN is used to fit the multi domain characteristics to determine the energy flow carbon flow relationship. In the test results, the analysis results of the corresponding energy consumption and carbon emissions in different scenarios have the highest fitting degree with the simulated output. © 2025 SPIE.

关键词： Carbon emission characteristics CNN Energy flow-carbon flow Energy utilization characteristics Fitting analysis Multi domain feature Source-network-load-storage

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Research on data security and privacy protection in machine learning scenarios leveraging blockchain technology

Research on data security and privacy protection in machine ...

引用

2024 International conference on Computer Application and Information Security, ICCAIS 2024

作者： Lei, Hao School of Art and Design Wuhan University of Science and Technology Hubei Wuhan 430070 China

ISBN: (纸本)9781510689312

With the rapid advancement of artificial intelligence, machine learning has been increasingly applied across various domains. However, the issues of data security and privacy protection in machine learning have also emerged as prominent challenges. This study delves into these challenges and proposes a solution that integrates blockchain technology. The proposed solution encompasses three critical stages: data preprocessing, model training, and model inference. Specifically, it includes secure feature extraction during data preprocessing, distributed training strategies during model training, and secure data inference during model inference. By implementing measures such as data sharding and encrypted storage, on-chain feature extraction, encrypted upload of gradient information, validation through consensus mechanisms, and smart contract-driven model parameter updates, this study ensures data security and privacy throughout its lifecycle. The results confirm that the proposed solution not only enhances the efficiency and performance of machine learning models but also bolsters transparency and traceability in data processing, providing a novel perspective on data security and privacy protection. Furthermore, the findings of this study open new avenues for sustainable development in the field of artificial intelligence, suggesting future research will further optimize this solution and explore its application in broader scenarios to comprehensively enhance the security and effectiveness of machine learning. © The Authors.

关键词： Blockchain technology data security machine learning privacy protection

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Calculation of grid forming energy storage configuration for island grids based on virtual inertia sufficiency probability

Calculation of grid forming energy storage configuration for...

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2024 International conference on Energy technology and Electrical Power, ETEP 2024

作者： Yang, Yilin Zhang, Feifei Gu, Zhijun Xu, Guang Huang, Zhipeng Zhang, Qiushi Xiao, Leli Wang, Zelin Fan, Yongyao State Grid Shanghai Electric Power Co. Ltd. Changxing Power Supply Company Shanghai 201913 China Beijing TsIntergy Technology Co. Ltd. Beijing 100080 China

ISBN: (纸本)9781510690400

Due to their unique geographical conditions, island grids face challenges, such as isolated operation, load fluctuations, and variability in renewable energy generation under high renewable energy penetration. Traditional grid-following energy storage systems struggle to provide sufficient inertia support and frequency stability, compromising grid security and power supply reliability. To address these issues, this paper first compares the fundamental attributes and control methods of grid-forming and grid-following energy storage systems to analyze the applicability of grid-forming energy storage in island power systems. Subsequently, probabilistic modeling of net load fluctuations and interconnection line power is conducted using historical data, and the Gaussian kernel density estimation is applied to derive the probability density functions and calculate imbalance power. Furthermore, an energy storage configuration model is proposed, and it incorporates inertia sufficiency, which is considered by the requirements of the rate frequency change and maximum frequency deviation. Based on the imbalance power with a specified confidence probability, the model is used to determine the required energy storage capacity for the configuration. Finally, an empirical analysis is performed using a domestic island grid as a case study. The results show that the proposed energy storage configuration method can satisfy the system's inertia sufficiency requirements and align with mainstream engineering practices. © 2025 SPIE.

关键词： Energy storage configuration Grid-forming energy storage Island grids Kernel density estimation Virtual inertia

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ZigBee-Enabled Long-Range IoT-Based Monitoring and data Acquisition System for Real-Time Flow and Temperature Monitoring in Oil Pipelines with Cloud-Based data Visualization

ZigBee-Enabled Long-Range IoT-Based Monitoring and Data Acqu...

引用

Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), International conference on

作者： Swati Vashisht Naresh Kumar Sanjeev Pippal Department of CS-AIML G.L. Bajaj Institute of Technology and Management Greater Noida Gautam Budh Nagar India Department of CS-AI G.L. Bajaj Institute of Technology and Management Greater Noida Gautam Budh Nagar India

ISBN: (数字)9798331518523

ISBN: (纸本)9798331518530

The reliable and cost-effective monitoring of critical infrastructure, such as oil pipelines, is essential for addressing operational challenges, economic losses, and environmental risks caused by issues like blockages, leaks, and temperature fluctuations. There is a growing need for comprehensive, scalable monitoring solutions with predictive capabilities. advances in wireless communication and IoT platforms have enabled wireless sensor networks to provide continuous data collection and transmission across large areas, enhancing operational efficiency and safety. This paper presents a novel architecture for long-range monitoring of pipeline flow and temperature via wireless communication. The system facilitates real-time data collection, storage, and cloud-based visualization, allowing operators to detect abnormalities, prevent disruptions, and improve the reliability of oil transportation.

关键词： Temperature sensors Wireless communication Cloud computing Temperature distribution Oils Pipelines data visualization Zigbee Real-time systems Monitoring

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Proceedings of SPIE - advances in optical data storage technology

Proceedings of SPIE - Advances in Optical Data Storage Techn...

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advances in optical data storage technology

The proceedings contain 66 papers from the Proceedings of SPIE - advances in optical data storage technology. The topics discussed include: investigation of novel two-photon diarylethene for 3D optical data storage;simulation for integrated optical fiber head of multilayers parallel storage;signal processing and coding for multiwavelength and multilevel photochromic optical storage;pneumatic sensing system used for focusing in multiwavelength optical disk mastering;crosstalk eliminating and low-density parity-check codes for photochromic dual-wavelength storage;system design for double-layer blu-ray disc recorders;and experimental research on near-field optical storage and virtual probe based on solid immersion lens.

关键词： optical data storage

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Multi-Objective Optimization Strategy of Microgrid Based on Cooperative Operation of optical storage in Industrial Park

Multi-Objective Optimization Strategy of Microgrid Based on ...

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Electrical Automation and Artificial Intelligence (ICEAAI), International conference on

作者： Long Jin Yanchi Zhang School of Electrical Engineering Shanghai DianJi University Shanghai China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

With the continuous development of photovoltaic power generation and energy storage technology, microgrid systems in industrial parks have gradually become an important means to achieve efficient use of green energy. Aiming at the energy demand of industrial parks, this paper proposes a multi-objective optimization strategy based on the cooperative operation of photovoltaic power generation and energy storage. By analyzing the fluctuation of photovoltaic power generation and the charge-discharge characteristics of the energy storage system, a multi-objective optimization model which can achieve energy balance and maximize economic benefits under different working conditions is constructed. Optimization objectives cover many aspects such as maximizing photovoltaic utilization, minimizing energy storage costs, matching load demand and reducing environmental pollution. In order to solve the multi-objective optimization problem, the non-dominated sorting genetic algorithm (NSGA-II) was used to solve the optimization model, and the actual data of the industrial park was simulated and verified. The results show that the optimization strategy can effectively improve the photovoltaic consumption rate, reduce the operating cost of the system, and ensure the stable operation of important loads, which provides a new technical solution for energy management in industrial parks.

关键词： Photovoltaic systems Costs Optimization models Microgrids Cooperative systems Reliability engineering Stability analysis Optimization Energy storage Sorting

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