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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241-250 订阅

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Multi-sensor-based Intelligent Monitoring System Design for Hazardous Materials Warehouse

Multi-sensor-based Intelligent Monitoring System Design for ...

引用

2023 International conference on Automation in Manufacturing, Transportation and Logistics, iCaMaL 2023

作者： Yu, Meng Tang, Qi Jin, Zhibo Liu, Yuan School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan China China Aviation Optical-Electrical Technology Co. Ltd. Luoyang China

ISBN: (纸本)9781839539954

Dangerous substances are extremely chemically unstable during storage, and their hazardous properties, such as being flammable, combustible, and corrosive, have stringent storage environment requirements. To strengthen the real-time monitoring of a dangerous goods warehouse, this paper employs IoT technology to design an intelligent monitoring system, selecting ZigBee tree topology to establish a wireless communication link, connect sensor devices, and complete the collection and transmission of monitoring data. In the meantime, the NB-IoT communication module connects to the IoT cloud platform to enable comprehensive remote control and data interaction with monitoring equipment. Through the design of an ethanol monitoring system, experimental cases demonstrate that the system satisfies the requirements for a hazardous materials warehouse monitoring system. © The Institution of Engineering & technology 2023.

关键词： Zigbee

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Research on Risk Management Methods for Power Operation data Oriented to Multi scenario data 8

Research on Risk Management Methods for Power Operation Data...

引用

8th International conference on Energy System, Electricity, and Power, ESEP 2023

作者： Zhang, Ximing Yang, Qiuyong Li, Jieshan Zhao, Jiaqi China Southern Power Grid Guangdong Guangzhou China Energy Development Research Institute Guangdong Guangzhou China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

In order to improve the security of power operation data, a risk management method for multi scenario data is proposed. Based on blockchain technology, a power operation data storage model was constructed, and a data risk management model was constructed using federated reinforcement learning algorithm. Through this model, risk management processing was implemented on the data. It can be seen from the experimental results that the highest value of the Factor of safety of this method is 0.95, the lowest value is 0.78, and the highest value of the number of times of data theft prevention is 58, which indicates that this method can effectively improve the effect of data theft prevention, and the power operation data has a high Factor of safety, which indicates that this method can fully ensure the security of power operation data. © 2024 SPIE.

关键词： Risk management

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Study on low-power test data compression method for 3D chips 2

Study on low-power test data compression method for 3D chips

引用

2nd International conference on Advanced Manufacturing technology and Manufacturing Systems, ICAMTMS 2023

作者： Wang, Dengfeng Zhang, Yunfei School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei230009 China

ISBN: (纸本)9781510667327

Three-dimensional chips require more complex test structures in different test phases, and the test data storage and test power consumption will be greatly increased, so the test cost will be more expensive. To address the above problems, this paper focuses on test data compression and test power consumption, and proposes a low-power test data compression scheme for three-dimensional chips. First, for the problem of large test data storage, this paper proposes a very effective test data compression scheme, based on Golomb tour coding compression, which greatly improves the compression rate of test data and reduces the test data storage volume. Second, for the test data compression at the same time, the test shift power consumption and excellent optimization effect, greatly reducing the test power consumption. Finally, this paper proposes a low-power test data compression structure applicable to three-dimensional chip testing, and gives the test flow control in each test phase of the three-dimensional chip. The experimental results show that the average compression rate of this scheme reaches 89.72% and the average power consumption is reduced by 86.53%, which effectively reduces the test cost of the 3D chip. © 2023 SPIE.

关键词： Electric power utilization

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Application of foundation models for autonomous driving: a survey of data synthesis 8

Application of foundation models for autonomous driving: a s...

引用

8th International conference on Traffic Engineering and Transportation System, ICTETS 2024

作者： Gao, Song Gao, Bolin Wei, Peng Guo, Jianpeng Yuan, Meng Han, Cheng Xu, Yueyun School of Vehicle and Mobility Tsinghua University China National Innovation Center of Intelligent and Connected Vehicles Beijing China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

With the evolution of data-driven autonomous driving technology, transferring driving responsibility from humans to machines is now feasible. Addressing the long-tail distribution problem in autonomous driving data is crucial for enhancing safety. Recent advances in foundational models, including large language models (LLMs) and generative AI models, have significantly improved data synthesis capabilities. This paper reviews the application of foundation models in three key areas: sensor data synthesis, traffic flow synthesis, and world models. © 2024 SPIE.

关键词： data modeling 3D modeling Autonomous driving Diffusion RGB color model Image segmentation Video Point clouds 3D image processing Sensors

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Reliability Evaluation of Energy storage SCADA System Considering Cyber Attacks 8

Reliability Evaluation of Energy Storage SCADA System Consid...

引用

8th International conference on Energy System, Electricity, and Power, ESEP 2023

作者： Cao, Jingbo Pan, Xiaolei Sun, Peiqin Shanghai Key Laboratory of Power Station Automation Technology Shanghai200090 China College of Automation Engineering Shanghai University of Electric Power Shanghai200090 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

The Supervisory Control and data Acquisition (SCADA) system of the energy storage system is the main target of cyber attacks, and its failure and its interaction with the physical system are the difficulties in the reliability evaluation of the energy storage system. To this end, for different cyber attack scenarios of information systems, the Bayesian attack graph method is used to establish the cyber attack process model of the SCADA system, and the average failure time of the target components of the SCADA system is calculated for different attacker skill levels;A reliability evaluation method based on Monte Carlo simulation is proposed, and a reliability evaluation model of energy storage system is established considering the failure of target components of SCADA system caused by cyber attacks and their interaction with the physical system;The normal operation availability rate and power loss value of the energy storage system under different scenarios are calculated. The results of the analyses can provide a theoretical basis for the operation and risk management of energy storage system. © 2024 SPIE.

关键词： SCADA systems

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VPCS: Verifiable Query Scheme for Privacy-preserving Constrained Shortest Path over Encrypted Graph data

VPCS: Verifiable Query Scheme for Privacy-preserving Constra...

引用

IEEE International conference on Web Services (IEEE ICWS)

作者： Hea, Shiyun Ding, Hongfa Tiana, Tian Liua, Hai Jianga, Heling Guizhou Univ Finance & Econ Guiyang Peoples R China Guizhou Univ Guiyang Peoples R China Data Secur Certificat Guizhou Co Ltd Guiyang Peoples R China

ISBN: (纸本)9798350368567;9798350368550

Currently, massive graph data, including social networks and biological proteins, is extensively utilized and contains a substantial amount of sensitive information. As cloud computing advances, graph data owners are increasingly inclined to outsource their large-scale graph data to cloud servers for diverse graph data query services. However, the seemingly limitless storage and computing capabilities present both opportunities and privacy challenges that are difficult to address. Recent research has proposed various schemes for querying outsourced graph data in an encrypted state. Unfortunately, many of these schemes fail to guarantee the correctness of query results under malicious models and may inadvertently disclose sensitive information within the graph data. Constrained shortest path (CSP) queries aim to find the shortest path between two vertices while adhering to specific threshold constraints. In this work, we propose a robust verifiable query scheme called VPCS that ensures privacy-preserving CSP queries on encrypted graphs. Our scheme achieves accurate and verifiable results while protecting the privacy of critical graph data information, with the exception of the number of vertices. Extensive experiments using real-world data sets validate the effectiveness of our scheme.

关键词： Encrypted Graph Verifiable Query Constrained Shortest Path Outsourcing

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data Backup and Recovery in Cloud storage with data Security 14

Data Backup and Recovery in Cloud Storage with Data Security

引用

14th International conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Sachi, Savya Alam, Md Mohtab Department of Information Technology Lalit Narayan Mishra College of Business Management Bihar Muzaffarpur India Eklavya University Madhya Pradesh Damoh India

Cloud provides its users with different services. Every day during cloud computing, a great deal of data is generated. The data should be saved on the cloud servers properly. If this data is missing from the server, a mechanism to retrieve this data should be created. This study states one such solution. The proposed scheme would allow the data to be stored simultaneously on the cloud server and the remote server. The data is returned from the remote server when the key file is lost. Secret key security is ensured so that the authentication is secure and authorized by the user based on the attributes of backup and recovery. A cloud is a distinct Information technology infrastructure designed to provide its users with different facilities that can be accessed remotely. Cloud refers to the term network of networks that support access to decentralized Information technology resources. Cloud uses the Internet as well as the remote central servers to manage consumers and businessmen's data and applications. This helps to save the consumer from costs and room problems. It is a technology that makes data collection, processing, and bandwidth much more centralized. A cloud has a certain limit, as it is a certain framework used to provide resources remotely. The Internet offers access to a vast number of clouds. Whereas the Internet offers free access to several web-based Information technology services, a cloud is generally private and provides wireless data resources. Much of the Internet is accessible via the web service to Information technology services. On the other hand, the Information technology services supplied by cloud environments are intended to provide back-end computing capabilities and browser access. © Grenze Scientific Society, 2023.

关键词： Websites

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Convertible certificateless proxy re-signcryption for data access control in cloud computing

Convertible certificateless proxy re-signcryption for data a...

引用

2023 International conference on Computer Application and Information Security, ICCAIS 2023

作者： Wu, Chenhuang Yang, Linghui Yuan, Beibei Li, Huimin Huang, Hui Fujian Key Laboratory of Financial Information Processing Putian University Fujian Putian351100 China Fujian Zhongxin Network Security Information Technology Co. Ltd. Fujian Fuzhou350011 China School of Computer Science Minnan Normal University Fujian Zhangzhou363000 China

ISBN: (纸本)9781510675032

Cloud storage service enables users not only to save their local data storage costs but also to access their outsourced data at any time and anywhere. Traditionally, a data owner outsources the encrypted data to the cloud server and then checks its integrity with the help of cloud auditing strategies. Obviously, in such a manner, only confidentiality and integrity are considered following the above two independent steps. Furthermore, it becomes an issue that the data owner may want to share their outsourced data with some authorized data receivers and convince them that the data are from and the same as the data owner's. To solve this issue, absorbing the advantage of the certificateless cryptosystem, we propose an efficient certificateless proxy re-signcryption (CLPRSC) for data access control in cloud computing. Moreover, the CLPRSC possesses ciphertext verifiable, convertible, and designated re-signcryptable properties with the highest efficiency among the achievable signcryption with proxy re-encryption schemes, which may be of independent interest. © 2024 SPIE.

关键词： Access control

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data security risk analysis of typical Internet companies in China

Data security risk analysis of typical Internet companies in...

引用

2022 International conference on Computer Application and Information Security, ICCAIS 2022

作者： Cai, Maobin Wu, Chensi Fan, Kefeng Zhao, Xiaoying Sun, Qifeng Xingtang Communication Technology Co. Ltd. Beijing100191 China China Electronics Standardization Institute Beijing100007 China

ISBN: (纸本)9781510663459

data security is an essential part of network security. data storage, use, and transmission can easily lead to information leakage and other problems without adequate security protection. With the development of big data, China pays more attention to the data security industry. This paper focuses on the main business of typical China internet companies under big data background. This paper analyzes the data security risks in these businesses and gives some measures to deal with the risks. © 2023 SPIE.

关键词： Standardization

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Research on AIS data analysis application in port management 3

Research on AIS data analysis application in port management

引用

3rd International conference on Electronic Information Engineering and data Processing, EIEDP 2024

作者： Wu, Enze Lv, Xinyue Zou, Yujuan College of Information Engineering Jiangsu Maritime Institute Nanjing211170 China School of Information Management Nanjing University Nanjing210023 China

ISBN: (纸本)9781510680531

With the continuous development of water transportation in China, ships entering and leaving the ports have become increasingly significantly. The Automatic Identification System (AIS) provides powerful data support for port management by transmitting critical information such as ship location, heading, and speed in real-time. Based on data warehouse technology, a port ship management platform is constructed, and it uses AIS data analysis to achieve dynamic monitoring for ship trajectories and operations. The platform employs a refined layered design that encompasses key aspects such as data acquisition, processing, storage, and visualization, optimizing the data processing workflow and significantly enhancing the stability and flexibility of the platform. It utilizes message queues for real-time data acquisition and performs immediate processing through stream computing. The processed data is intelligently stored in corresponding data storage services based on its granularity. With a front-end and back-end separation design approach, the platform presents data to users in an intuitive and clear graphical format. The analysis of AIS data not only facilitates the efficient management of ship arrivals and operations in ports, but also contributes to the optimization of berth allocation, channel management, and personnel scheduling, ultimately enhancing the overall efficiency of port management. © 2024 SPIE.

关键词： Ships

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