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4th International conference on Sensors and Information technology, ICSI 2024

作者： Liu, Yongqing Li, Qiang Jiao, Yanbin Chen, Youyong Cheng, Ming State Grid Information & Telecommunication Group Co. Ltd. Beijing102209 China Fujian Yirong Information Technology Co. Ltd. Fuzhou350003 China

ISBN: (数字)9781510678699

ISBN: (纸本)9781510678682

In the cloud computing environment, network terminal data has the characteristics of large quantity and real-time changes. In order to ensure the security of network terminal data, a network terminal data security protection system is designed in the cloud computing environment. The system includes hardware modules such as intrusion detection, vulnerability scanning, and cloud security management, which can ensure that only authorized users can access data and achieve recognition and prevention of malicious behavior. On the basis of hardware design, a hybrid encryption algorithm is adopted to encrypt network terminal data, further improving system performance and security, and protecting data security in cloud computing environments. The experimental test results show that the system has a low false alarm rate, a high malicious attack blocking rate, and a malicious attack detection rate, which can effectively ensure the security of network terminal data. © 2024 SPIE.

关键词： Cryptography

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Proceedings of the 5th International conference on Recent advances in Information technology, RAIT 2023

Proceedings of the 5th International Conference on Recent Ad...

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5th International conference on Recent advances in Information technology, RAIT 2023

ISBN: (纸本)9798350335705

The proceedings contain 16 papers. The topics discussed include: deep ensemble architecture for knee osteoarthritis severity prediction and report generation;sweep coverage with faults;microarray data analysis for diagnosis of cancer diseases by machine learning algorithm;blockchain-based secure storage and management of electronic health record using a smart card;high throughput circuit design of flash type analog to digital converter;rad-former: structuring radiology reports using transformers;realistic benchmark datasets for team formation problem in social networks;an efficient speaker identification approach for biometric access control system;emotion recognition from masked faces using inception-v3;secrecy outage analysis of energy harvesting enabled two user cooperative NOMA;and high throughput circuit designs of digital to analog converter.

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advances in database technology - Proceedings 26th International conference on Extending database technology, EDBT 2023

Advances in Database Technology - Proceedings 26th Internati...

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26th International conference on Extending database technology, EDBT 2023

ISBN: (纸本)9783893180936

The proceedings contain 14 papers. The topics discussed include: enhanced featurization of queries with mixed combinations of predicates for ml-based cardinality estimation;streaming weighted sampling over join queries;patched multi-key partitioning for robust query performance;integration of skyline queries into spark SQL;unsupervised space partitioning for nearest neighbor search;recommending unanimously preferred items to groups;subset approach to efficient skyline computation;interactive set discovery;stitcher: learned workload synthesis from historical performance footprints;an experimental analysis of quantile sketches over data streams;and implementing and evaluating E2LSH on storage.

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Modern Systems and Algorithms for Enhanced Personal Well-being data Management

Modern Systems and Algorithms for Enhanced Personal Well-bei...

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2023 International conference on Recent advances in Science and Engineering technology, ICRASET 2023

作者： Singh, Shweta Singh, Rajiv Ranjan Rengarajan, A. Maharishi University of Information Technology Maharishi School of Engineering & Technology Uttar Pradesh India Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350306927

In this era of pervasive connection and data collecting, it is more important than ever that people have access to and control over their own health data. This presentation offers a comprehensive overview of the most recent techniques and algorithms for the expedited processing of health-related data. Individuals may now gather and track an unprecedented amount of data about their health and fitness thanks to wearable devices, smartphone applications, and Internet of Things (IoT) sensors. The potential benefits of better health outcomes, accelerated research, and patient empowerment may be enormous if this data could be managed correctly. This article digs into the innovative programs and algorithms that are changing the face of current healthcare data management. First, we examine the scalability, security, and interoperability of current data storage and retrieval techniques in detail. Some examples of information that might be collected, saved, and accessed with the use of such devices include physiological measurements, data on lifestyle choices, and medical records. This abstract also investigates potential future applications of innovative data processing and analysis techniques for gathering data on the health of the general public. Innovative methods for health data management, such as blockchain and federated learning, are discussed in depth in the abstract. By facilitating the safe and transparent exchange of data between academics, healthcare providers, and patients, technology developments like these foster collaboration and accelerate medical research. The study emphasizes the significance of users having control over and ownership of their data in health data management. Customizable dashboards, mobile applications, and user interfaces that are made as simple as possible allow people to actively engage with their own health data and make informed decisions. The vast potential of the health data landscape may be tapped with the help of state-of-the-art

关键词： Information management

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Layout curvilinear representations impact on High-NA masks: a comparative study 39

Layout curvilinear representations impact on High-NA masks: ...

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39th European Mask and Lithography conference (EMLC)

作者： Venitucci, Enjamin Bougron, Jean-Francois Schuch, Nivea Robert, Frederic Figueiro, Thiago Appl Mat Inc 4 Pl Robert Schuman F-38000 Grenoble France

ISBN: (纸本)9781510682887;9781510682894

OPC (optical Proximity Correction) technology has been evolving to assist on the continues improvement of pattern resolution. One approach for further extending lithography resolution is ILT (Inverse Lithography technology). This technology, based on applying an inverse model to the target design, creates curves from the design layouts. The adoption of ILT is now enabled by the improvement of runtime obtained by enhancements in algorithms and computing power as well as the new generation of mask writers (multibeam) which enables writing complex features in an acceptable time. The last blocking points were the data volume required to store, and the challenge of handling complex structures. If the standard data storage is used, curvilinear shapes are stored as polygons, which produces larger file sizes. The file size issue has been identified and addressed by the industry in recent years. File formats proposing compact ways to represent curves usually propose Implicit Bezier and B-Spline as main curve representations. The recent development of High-NA lithography requires anisotropic scaling of the patterns for writing on mask (4x, 8x). This adds another challenge to the data preparation flow to maintain the benefits of the proposed curve representations. This work assesses the impact of adoption of curvilinear representations, with the spotlight on the needs for High-NA mask data preparation.

关键词： Curvilinear Multigon B-Spline Implicit Bezier High-NA EUV Anamorphic mask data preparation Compaction Sizing

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多维调制全息数据存储研究进展

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光学学报 2023年第15期43卷 45-69页

作者：谭小地林枭臧金亮范凤兰刘金鹏任宇红郝建颖福建师范大学光电与信息工程学院福建福州350117 中国计量科学研究院北京100029 河北民族师范学院化学与化工学院河北承德067000 西安电子科技大学光电工程学院陕西西安710071

大数据时代对数据存储提出了新的要求,为克服目前存储技术无法逾越的障碍,全息存储回到人们的视野,为了解决传统全息存储的记录密度与理论值相差较大的问题,本文作者团队提出了将光的振幅、相位和偏振均作为调制变量的多维调制全息数据... 详细信息

大数据时代对数据存储提出了新的要求,为克服目前存储技术无法逾越的障碍,全息存储回到人们的视野,为了解决传统全息存储的记录密度与理论值相差较大的问题,本文作者团队提出了将光的振幅、相位和偏振均作为调制变量的多维调制全息数据存储技术;为验证多维调制的实验结果,针对具有偏振响应的全息存储材料特性提高方面也开展了研究。这些研究成果加速了全息存储技术应用的产业化步伐。本文以该团队在北京理工大学期间开展的多维调制全息数据存储技术的研究成果为基础,分别从光的振幅、相位和偏振调制机理出发,综述了各个调制方法的理论基础和应用实例,以及提高全息存储材料性能的有效手段,最后进行了总结和展望。

关键词：全息存储多维调制大数据保存存储密度

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Document data Extraction with optical Character Recognition 14

Document Data Extraction with Optical Character Recognition

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

作者： Sanghvi, Vidit Ukani, Vijay Patel, Raj Sharma, Priyanka Shah, Pooja Computer Science and Engineering Department Institute of Technology Nirma University Gujarat Ahmedabad India Department of Machine Learning Samyak Infotech Private Limited Ahmedabad India

The modern solutions for fetching content from PDF documents or images includes fetching document’s multiple features like processing using Natural Language Processing (NLP), border-less table contents, processing it’s stacked lines, fetching document layout information and working on region-based features from documents. There are new challenges like fetching a table’s content where the table is included in borders of other content. In this paper, we have used LayoutLM for parsing the content and RetinaNet for table detection in a particular document. The pretrained models were trained on very less data-set to decide for large scale use. We also have discussed architecture of LayoutLM and tesseract that we used in building the tool with discussing output of some other approaches. © Grenze Scientific Society, 2023.

关键词： optical character recognition

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Deep learning-based super-resolution holographic data storage

Deep learning-based super-resolution holographic data storag...

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optical Manipulation and Structured Materials conference 2023

作者： Hao, Jianying Lin, Xiao Fujimura, Ryushi Hirayama, Soki Tanaka, Yoshito Tan, Xiaodi Shimura, Tsutomu College of Photonic and Electronic Engineering Fujian Normal University Minhou District Fuzhou350117 China Institute of Industrial Science The University of Tokyo Komaba Tokyo153-8505 Japan Department of Optical Engineering Utsunomiya University Utsunomiya321-8585 Japan

ISBN: (纸本)9781510663398

In this paper, we propose a super-resolution holographic data storage system based on deep learning. A low-pass filter was introduced into the Fourier plane to remove the high frequency. This produces a blurred intensity image of the reconstructed beam. A convolutional neural network is used to establish the relationship between the blurred intensity image and the data page. The encoded phase data page can be directly demodulated from a captured intensity image, which is a non-interferometric method without iterations. The function of the filter is to generate the blurred intensity image and to reduce the recording area to improve the recording intensity. Usually, the limit of the aperture is the Nyquist size. Here, by introducing embedded data on the phase data page, the aperture size of the recording can be reduced to smaller than the Nyquist size. A simulation experiment was established to verify the effectiveness of the proposed method. © 2023 SPIE.

关键词： Image enhancement

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The Compatible Partial Response Maximum Likelihood Detection Schemes for Blu-ray Discs 21

The Compatible Partial Response Maximum Likelihood Detection...

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21st International conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information technology (ECTI-CON)

作者： Luo, Ke Zhang, Kezheng Wu, Yufei Liao, Yanzhe Gao, Hongyu Li, Wei Jian, Yugen Liu, Ziqian Zhao, Yuqian Chen, Jincai Lu, Ping Wang, Shaobing Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Comp Sci & Technol Minist Educ China Key Lab Informat Storage Syst Wuhan 430074 Peoples R China Hubei Univ Med Sch Publ Hlth Shiyan 442000 Peoples R China

ISBN: (纸本)9798350381566;9798350381559

The global datasphere is experiencing significant expansion, largely driven by the relentless advancement of artificial intelligence technology. Cold data, in particular, is garnering increasing attention and is now considered a vital asset, constituting a substantial portion of data capacity. optical discs stand out as a highly promising solution for cold data archiving due to their robust data security, longevity, durability, and non-volatile nature. Additionally, their total cost of operation (TCO) further enhances their appeal. To increase the recording density, signal processing techniques must evolve along with the degradation of signal quality. In this paper, we conduct a comprehensive study of partial response maximum likelihood (PRML) detection based on simulation and real signal testing and compare an adaptive equalized detection scheme with a neural network equalized detection method for BD-ROM and BDXL systems. Results show the effectiveness of PRML method for both BD-ROM and BDXL. The neural network equalized detection method can also improve the detection performance of BD-ROM and BDXL at lower signal-to-noise ratio (SNR) levels.

关键词： cold data archiving blu-ray discs partial response maximum likelihood neural network

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20th IFIP WG 11.9 International conference on Digital Forensics, DigitalForensics 2024

20th IFIP WG 11.9 International Conference on Digital Forens...

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20th IFIP WG 11.9 International conference on Digital Forensics, DigitalForensics 2024

ISBN: (纸本)9783031710247

The proceedings contain 15 papers. The special focus in this conference is on Digital Forensics. The topics include: Forensic Analysis of Third-Party Cloud Software Development Kits for Android Apps;identifying and Analyzing Vault Apps;using Microposture Features and optical Flows for Deepfake Detection;assessing Backdoor Risk in Deepfake Detection;user Behavior Forensics on Encrypted Traffic in the Industrial Internet of Things;digital Forensic Acquisition Using Private Internet of Things Cloud Application Programming Interfaces;fingerprinting Malware Families Under Uncertainty;improving Android Malware Detection in Imbalanced data Scenarios;text File Recovery Using an N-Gram Model;generating Usable and Assessable datasets Containing Anti-Forensic Traces at the Filesystem Level;leveraging Client-Side User Account data in Digital Forensic Investigations;honeypot-Based data Collection for Dark Web Investigations Using the Tor Network;modeling Analyst Intentions Using a Markov Chain for Investigative Action Recommendations.

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