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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41-50 订阅

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Blockchain-based verifiable data deletion and software management for cloud storage 5

Blockchain-based verifiable data deletion and software manag...

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5th International conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： Tian, Tian Liu, Zesan Gao, Tiansheng Zhang, Xiaowu Jin, Siyu Liu, Xinyi Beijing Branch of China Power Industry Group State Grid Info & Telecom Group Co. Ltd. Beijing China Information Industry Research Institute State Grid Info & Telecom Group Co. Ltd. Beijing China Marketing Department of Benxi Power Supply Company State Grid Liaoning Electric Power Co. Ltd. Liaoning Benxi China

ISBN: (纸本)9781510691667

With the growing demand for data storage, cloud storage has become prevalent but has introduced significant security challenges, particularly in data deletion. Malicious cloud servers may fail to execute deletions properly, posing risks to data security and software updates. This paper proposes a blockchain-based verifiable data deletion scheme, leveraging blockchain to record deletion evidence and ensure transparency. The scheme enables mutual authentication between data owners and cloud servers through smart contracts. Upon successful authentication, the server deletes the data, generates deletion evidence organized via a Merkle tree, and stores it on the blockchain. The data owner can verify the deletion by comparing the server's evidence with blockchain-stored hashes. Simulations and security analyses on Ethereum demonstrate the scheme's ability to ensure each deletion operation without relying on trusted third parties, offering safety and traceability. Experimental results highlight its efficiency and practicality, making it decentralized. Meanwhile, it is of meaningful significance to improve the royal of the cloud storage services and the reliability of node management of multi-branch software. © 2025 SPIE.

关键词： blockchain Cloud storage smart contract software management verifiable deletion

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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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2025 International conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025

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

ISBN: (纸本)9798331506797

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. © 2025 IEEE.

关键词： Light storage collaboration Microgrid multi-objective optimization NSGA-II algorithm power Industrial Park

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Research on online monitoring system of transformer oil storage tank based on ultrasonic technology

Research on online monitoring system of transformer oil stor...

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

作者： Du, Xingkai Yi, Lisha Zhang, Diqiu Yang, Chenhui Du, Jikuan Zhao, Shilu Gao, Yinghong Dandong Dongyuan Electric Power Co. Ltd. Dandong 118017 China State Grid Liaoning Electric Power Co. Ltd. Dandong Power Supply Company Dandong 118016 China State Grid Shanghai Municipal Electric Power Company Shanghai 200122 China

ISBN: (纸本)9781510690400

This research is centered on the application of ultrasonic technology for the online monitoring of transformer oil storage tank levels, a critical aspect in ensuring the reliable operation of power systems. The oil level within a transformer's storage tank serves as a pivotal parameter, as deviations from the normal range can precipitate a cascade of operational anomalies and inflict severe damage upon the equipment infrastructure. Our proposed system, ingeniously engineered with ultrasonic techniques at its core, is meticulously designed to execute real-time, highly accurate monitoring of the oil level^[3]. By virtue of providing meticulously precise and instantaneously updated oil-level monitoring data, this research assumes a profound significance in fortifying the operational safety and optimizing the efficiency of power systems. It not only enables the preemptive detection of potential oil level fluctuations but also facilitates the implementation of timely corrective measures, thereby effectively mitigating the risks of catastrophic failures and minimizing unplanned downtime. © 2025 SPIE.

关键词： Oil storage Tank Online Monitoring Transformer Oil Level Ultrasonic

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International Hydropower Development conference, IHDC 2024

International Hydropower Development Conference, IHDC 2024

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International Hydropower Development conference, IHDC 2024

ISBN: (纸本)9789819791835

The proceedings contain 48 papers. The special focus in this conference is on Hydropower Development. The topics include: Experimental Study on the Flexural Performance of Hydraulic High Ductility Concrete;economic Analysis of Distributed Photovoltaic Power Generation Projects;current Status and Prospects of Dam Safety Monitoring technology for Hydropower Stations;hydraulic Engineering Safety Platform Under Microservice Architecture - a Case of Shanmei Reservoir Renovation Project;exploring the Digital Twin System in Slope Engineering;study on the Impact of Flood Season Operating Water Level on Flood Control of the Three Gorges Reservoir;deep Learning-Based Multi-Model Coupled Flood Season Daily Runoff Prediction Model;research and Application of Balanced Rise of Concrete High Arch Dam;Research on the Dispatching Decision Method of Cascade Hydropower Stations Based on the BVWS;Assimilating FY-4A AGRI data Based on a WRF-GSI NWP System and Its Impact on Precipitation Forecasts;improving Dam Safety Using optical Fiber Seismic Sensing;research on Real-Time Intelligent Control technology for Runoff Cascade Hydropower Station Group;application of Tower Type Cyclone Stabilizing Cylinder Concentration technology in Wastewater Treatment of Sand and Gravel Processing System of Batang Hydropower Station;seismic Safety Evaluation of a High Arch Dam-Foundation Coupling System;research on the Sediment Flushing Scheme Under the Layout of "Reservoir Replacing Pool + Bypass Flushing" Based on 2D Flow and Sediment Model;research on Load Distribution Method of Cascade Hydropower Station with Maximum Energy storage at the End of Dispatching Period;analysis of Dynamic Response Characteristics of Towering Intake Towers Under the Action of Main-Aftershock Sequences.

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Empowering Real-Time IoT Applications: A Brief Review on Leveraging GPU Acceleration for Latency Reduction 1st

Empowering Real-Time IoT Applications: A Brief Review on Le...

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1st International Workshop on the Design, Verification, and Validation of IoT Systems, GRAAL4IoT 2024 and 1st International Workshop on IoT Standards, STAND4IoT 2024, held in conjunction with 7th IFIP WG 5.5 International Cross-Domain conference on Internet of Things, IFIPIoT 2024

作者： Haichour, Amina Selma Benfriha, Khaled Algiers Algeria Algiers Algeria Paris France Paris France

ISBN: (纸本)9783031820649

The rapid increase in the number of IoT (Internet of Things) devices and the consequent surge in data transmission pose significant challenges to real-time data processing and telecommunication technologies. This has led to a growing interest in edge computing as a means to mitigate latency issues associated with centralized cloud processing. In this context, the integration of energy-efficient programmable GPUs (Graphics Processing Units) alongside CPUs (Central Processing Units) in IoT devices presents a promising opportunity to address latency challenges in real-time IoT applications. This brief review explores the potential of integrating energy-efficient programmable GPUs (Graphics Processing Units) alongside CPUs (Central Processing Units) in IoT devices to tackle latency issues in real-time IoT applications. The focus is on how GPUs can accelerate real-time IoT applications and minimize latency, providing valuable insights for developers looking to harness the capabilities of GPUs in IoT devices. Key considerations include identifying suitable real-time IoT applications’ parts for GPU offloading and efficiently managing the offloading process. © IFIP International Federation for Information Processing 2025.

关键词： Digital storage

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FPGA Implementation of HLS Crypto Accelerators for Embedded Security in Autonomous Vehicles

FPGA Implementation of HLS Crypto Accelerators for Embedded ...

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2025 International conference on advances in Design, Materials, Manufacturing and Surface Engineering for Mobility, ADMMS 2025

作者： Deepan Kumar, Sadhasivam Vishnu Ramesh Kumar, R. Boopathi, M. Manojkumar, R. Gobinath, R. Vignesh, M. Bannari Amman Institute of Technology India Dr Mahalingam College of Engineering & Technology India Kongu Engineering College India Central Institute of Petrochemicals Engineering India Mai Nefhi College of Engineering and Technology India Robert Bosch Engineering and Business Solutions India

The growing ubiquity of autonomous vehicles (AVs) has introduced a new attack surface for malicious actors: the embedded systems that govern a vehicle's critical operations. Security breaches in these systems could have catastrophic consequences, potentially leading to loss of control, manipulation of sensor data, or even physical harm. To mitigate these risks, robust cybersecurity measures are paramount. This research delves into a specific threat - side-channel attacks - where attackers exploit data leakage through unintentional physical emanations, like power consumption or electromagnetic waves, to steal cryptographic keys or sensitive information. While various software and hardware countermeasures have been proposed, this study focuses on the implementation of masking techniques within the realm of embedded security. Masking techniques aim to obfuscate sensitive data during cryptographic operations, making it significantly harder for attackers to exploit side-channel vulnerabilities. This research explores the suitability of a Boolean masking approach within a high-level synthesis environment. This system-level approach offers several advantages over traditional design methodologies. It facilitates faster design processes by enabling early identification and rectification of errors. Additionally, it streamlines hardware-software co-design, allowing for a more integrated and efficient security architecture within the autonomous vehicle's embedded systems. Furthermore, the system-level approach enables the application of advanced validation strategies, ensuring the effectiveness of the implemented masking techniques. To evaluate the efficacy of the Boolean masking approach, the research investigates its application to three prominent block cipher algorithms - PRESENT, AES, and Serpent - all of which are based on substitution-permutation networks (SPNs). By implementing these masked algorithms in C and simulating their performance within an embedded system contex

关键词： Digital storage

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A Standardized Solution to Command & data Handling Between Modular Bus and Payload for the Future CubeSat Missions

A Standardized Solution to Command & Data Handling Between M...

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2024 Small Satellites Systems and Services Symposium, 4S 2024

作者： Saroka, Audrey Ekanayake, Anuga Kang, Jin S. Maceo, Christine P. Sanders, Michael H. The United States Naval Academy 590 Holloway Rd.MS 11B AnnapolisMD21402 United States

ISBN: (纸本)9781510688940

The traditional CubeSats development model is a one-off build designed to accomplish a specific mission using proprietary hardware and software. The specific mission requirements and associated development costs result in a lack of reproducibility for CubeSats. The Naval Academy Standard Bus (NASB) advances the concept of CubeSat modularity with a design that physically separates a fully-functional standalone 1U bus from an independently-developed 1U or 2U customer payload module with a 10-pin wiring harness serving as the sole electrical interface between bus and payload modules. Residing within the standard bus module the main onboard computer (OBC) handles uplink and downlink communications and connects the NASB to the payload module through two interface boards: the Bus Board and the Payload Interface Board (PIB). Ground commands received by the NASB pass through the Bus Board to the PIB in the payload module, through which they are communicated to the payload via universal asynchronous receiver/transmitter (UART) protocol. Messages and stored data generated by the payloads are stored on a secure digital card within the PIB, to be passed on to NASB and downlinked to the ground station. This modular design allows for independent development of payloads, shortening CubeSat development timeline by eliminating the need for bus development in parallel with payload development. © 2025 The Authors.

关键词： Digital storage

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High-precision pulse width generation technology based on high-speed DAC

High-precision pulse width generation technology based on hi...

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2024 International conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2024

作者： Wang, Ruichuang Zhang, Minghu Feng, Zhiguang Zhou, Houping Wuhan Digital Engineering Institute Wuhan430205 China College of Intelligent Science and Engineering Harbin Engineering University Harbin150001 China

ISBN: (纸本)9781510689176

The pulse width parameter of integrated circuits is an important technical indicator for measuring the system's high-speed performance and rapid response capabilities, directly affecting the device's response speed and accuracy. Achieving traceability of integrated circuit time characteristic parameters is fundamental to ensuring the core performance of the system. The pulse width calibration device for integrated circuit testing systems calibrates the system by reproducing the behavior model of the parameters. Traditional waveform generation methods typically rely on cyclical reading of waveform memory, resulting in complex system designs, high storage resource usage, and lower waveform accuracy. To address these issues, a standard pulse width and rise/fall time waveform generation module based on an "FPGA + DAC" architecture has been designed. By directly utilizing the timing logic resources of the FPGA, multiple data modules are set up to generate waveform data in parallel, making waveform parameter adjustment more flexible and reducing waveform generation response time. Additionally, with the integration of an internal time parameter correction module, the accuracy and stability of the generated signal's time parameters are further improved, meeting the requirements for high-precision calibration. © 2025 SPIE.

关键词： data conversion Pulse signals Clocks Calibration Integrated circuits Field programmable gate arrays Signal generators Error control coding System integration Interference (communication)

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Real-time data flow processing and optimization scheduling scheme for power system based on Kafka 5

Real-time data flow processing and optimization scheduling s...

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5th International conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： Wu, Junyong Li, Haibo State Grid Yinchuan Power Supply Company Ningxia Yinchuan 750004 China

ISBN: (纸本)9781510691667

The rapid growth of real-time data in power systems, driven by the integration of smart grid technologies and digitalization, presents significant challenges for efficient data processing and decision-making. Traditional batch processing methods are inadequate for handling the high velocity and large volume of streaming data, leading to latency and scalability issues. This paper proposes a real-time data processing and optimization scheduling scheme for power systems using Kafka and Storm technologies. Kafka efficiently collects and buffers streaming data from multiple sources, ensuring data integrity and low-latency communication, while Storm performs distributed real-time processing for complex event detection and rapid decision-making. The architecture also integrates HBase for scalable storage and fault-tolerant data management. Compared to traditional methods, the proposed solution demonstrates improved data processing speed, reduced system latency, and enhanced scalability. The results validate the effectiveness of this approach in supporting intelligent monitoring and operational optimization for modern power grids, paving the way for more reliable and efficient power system management. © 2025 SPIE.

关键词： Kafka Power system storm stream processing

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

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

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

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

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

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).

关键词： Cloud computing Steganography Image coding Computational modeling data models Encoding Communications technology Encryption Cryptography Huffman coding

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