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3rd Southwest Data Science conference, SDSC 2024

3rd Southwest Data Science Conference, SDSC 2024

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3rd Southwest Data Science conference, SDSC 2024

ISBN: (纸本)9783031678707

The proceedings contain 15 papers. The special focus in this conference is on Southwest Data Science. The topics include: How Does Normalization Impact Clustering?;quantitative Stock Market Modeling Using Multivariate Geometric Random Walk;disease Similarity and Disease Clustering;composition Analysis and Identification of Ancient Glass Products;data Entropy-Based Imbalanced Learning;analysis of the Changes in Microbial Community During the Fermentation of Feng-Flavour Baijiu;enhanciGraph: Visualizing Enhancer-Gene Interactions;event-Triggered Control for Synchronization of Chaotic Delayed Lur’e systems with Stochastic Cyber-Attacks;in-Game Win Prediction Models for Cricket;finite-Time Outer Average Synchronization Between Two Coupled Heterogeneous Complex Dynamical Networks and Its Application in Secure Communication;Classification of In-Situ Solar Wind Data Measured by Solar Orbiter/SWA-PAS and HIS Using Machine Learning;node Classification with Multi-hop Graph Convolutional Network;pyDaskShift: Automatically Convert Loop-Based Sequential Programs to distributed parallel Programs.

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distributed Adaptive Test Monitoring Data Classification Technique Based on Data Fields

Distributed Adaptive Test Monitoring Data Classification Tec...

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Innovations and Development of information Technologies and Robotics (IDITR), international conference on

作者： Jinyi Wei Shiyong Zhang Department of Experimental Training North China Institute of Computing Technology Beijing China

ISBN: (数字)9798350385694

ISBN: (纸本)9798350385700

Aiming at the problem that monitoring data in cross-domain tests face a large amount of data and cross categories, we establish a test monitoring data classification system, study the distributed adaptive data classification technology based on data fields, cut and assign the classification task to nodes at different levels by using a distributed data processing scheme to make the classification modular and low-coupling, and realize fast and accurate classification of cross-domain test monitoring data to achieve the purpose of improving the monitoring efficiency of test data by different test personnel and fast access to key data.

关键词： Technological innovation Adaptive systems distributed databases Data processing Personnel Task analysis information technology

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A Lightening Fine-grained Access Control Scheme Supporting Full Policy Hiding in Cloud Storage 29

A Lightening Fine-grained Access Control Scheme Supporting F...

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29th IEEE international conference on parallel and distributed systems, ICPADS 2023

作者： Shi, Jiaoli Hu, Chao Yao, Shimao Mei, Zhuolin Wu, Bin Li, Hui Jiujiang Univ. School of Computer and Big Data Jiujiang China Jiangxi Univ. of Finance and Economics School of Software IoT Engineering Nanchang China Jiujiang Key Lab. of Network and Information Security Jiujiang China Jiujiang University School of Computer and Big Data Jiujiang China Peking University School of Elec. and Comp. Engineering Shenzhen China

ISBN: (纸本)9798350330717

Efficiency, security, and flexibility are difficult to balance in a full policy hiding CP-ABE scheme. This paper creatively converts the privacy matching problem of access policy and a user's private key to the privacy three-party set computation problem. Then the new privacy set computation problem is resolved by a message driven key generation method. Additionally, the ROBDD (Reduced Ordered Binary Decision Diagrams) is utilized to rich access structure expression and convert access policies into feasible path sets. Each feasible path is composed of attributes and these attributes are bound to the ciphertext using CP-ABE. Based on the innovative ideas mentioned above, we present a Lighten Fine-grained Access Control scheme supporting Full Policy Hidden (LFAC-FPH) that integrates data confidentiality protection, access policy rich expression but complete hiding, fine-grained access control, and lightweight terminal computing. Our scheme has three advantages: 1) High Efficiency. The proposed scheme can achieve fast privacy matching of access policies during user decryption. 2) Full Policy Hiding. The access policy bound by an owner on the ciphertext does not leak any information. Moreover, a user cannot know attributes they do not own. 3) High Flexibility. The decryption process does not require online from owners or KGC, and system attributes can be added at any time. © 2023 IEEE.

关键词： CP-ABE full policy hiding lighten computation Private-Preserving

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Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis 3rd

Enhancing Image Forensics with Transformer: A Multi-head At...

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3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Appel Mahmud Pranto, Md. Asad, Nafiz Al Yousuf, Mohammad Abu Uddin, Mohammed Nasir Moni, Mohammad Ali Department of Information and Communication Technology Bangladesh University of Professionals Dhaka1216 Bangladesh Institute of Information Technology Jahangirnagar University Dhaka Savar1342 Bangladesh School of Health and Rehabilitation Sciences Faculty of Health and Behavioural Sciences The University of Queensland St Lucia QLD4072 Australia

ISBN: (纸本)9789819739363

Nowadays, vast images are generated daily as we capture, transfer, and receive them in various sectors. Images have become a pivotal component of data in many different industries, contributing to decision-making, documentation, and artistic expression. However, verifying image authenticity has become more complex with the widespread availability of sophisticated software and tools that enable image alteration. As a result, determining whether an image is original or manipulated has become a complex task. In this paper, we propose an enhanced Transformer architecture to classify between original and manipulated images by using their metadata and EXIF data. Two datasets are built to train the framework. Each dataset carries metadata and EXIF data of original and manipulated images, respectively. An augmentation technique has been applied to ensure dataset balance and robustness. The proposed framework uses a parallel multi-head attention mechanism, which speeds up convergence throughout the training process and results in more efficient model learning. This versatile proposed framework can perform on different image formats such as JPG/JPEG, PNG, and BMP, highlighting its adaptability and real-world applicability. This framework has achieved 96.42% accuracy, showing its potentiality and capability to distinguish between original and manipulated images in this digital age. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Digital forensics

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Design of binocular vision system based on Zynq 3

Design of binocular vision system based on Zynq

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3rd international conference on Signal Image Processing and Communication, ICSIPC 2023

作者： Wang, Shouman Gong, Zhaoguang Zhang, Zhijia Wang, Shixian Zhao, Huaici School of Artificial Intelligence Shenyang University of Technology Shenyang China Shenyang Key Laboratory of Intelligent Perception and Edge Computing Shenyang China National University Science Park Shenyang University of Technology Shenyang China Liaoning Provincial Key Laboratory of Optoelectronic Information and Simulation Technology Shenyang China

ISBN: (纸本)9781510670945

Binocular vision is an important branch of computer vision that processes images captured from two different cameras with different perspectives to obtain depth information of a scene. However, the stereo matching algorithm is complex and traditional platforms often struggle to meet real-time and accuracy requirements simultaneously. In this article, we implement a binocular vision system based on the idea of software-hardware co-design on the Zynq platform. According to the characteristics of the Zynq platform, the system's software and hardware functions are divided. The processing system (PS) is mainly responsible for flow control and binocular correction, while the programmable logic (PL) is responsible for parallel acceleration of the stereo matching algorithm. In the image acquisition part, we configure the format and output image timing using a designed camera acquisition module. In the stereo matching part, we design a semi-global stereo matching algorithm using Verilog language. Finally, we build a binocular vision system on the Zynq platform for testing. The experimental results show that the frame rate can reach 30fps when the input image resolution is 640×480, which satisfies the requirements of real-time and accuracy of the output disparity map. © 2023 SPIE.

关键词： Computer hardware description languages

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Learning Facial Details for High-resolution Face Anti-Spoofing 3

Learning Facial Details for High-resolution Face Anti-Spoofi...

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3rd international conference on Artificial Intelligence and Computer Engineering, ICAICE 2022

作者： Zhou, Yan Wu, Haohai Liu, Xiangyu Zeng, Fanzhi Zhou, Yuexia FoShan University School of Electronic Information Engineering FoShan526000 China South China University of Technology School of Computer Science and Engineering GuangZhou510000 China

ISBN: (纸本)9781510663473

With face recognition playing a crucial role in biometric identification technology, face anti-spoofing (FAS) has powerful effects on finding out whether a presented face is live or spoof. As the most common attacks such as photo attacks, print attacks, and video replay attacks can be effectively resolved, high-resolution attacks are easy to occur but still challenging for effective face spoofing because of the rich local facial details. In this paper, a Diagonal-Fusion Transformer Net- work (DFT) which adds self-attention from the vision transformer is proposed. It is designed to learn the facial context information and relation between the local features of the face, and thus enhance the discriminative features of the real face and the fake face to improve the classification efficiency. Furthermore, a Spoofing Region Detection Network (Srd) parallel with the DFT network is proposed for fine- grained spoof detection through the enlargement of local facial details. Through comprehensive experiments, the model achieves state-of-the-art results on public benchmark datasets such as OULU and CelebA-Spoof. © 2023 SPIE.

关键词： Face recognition

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A distributed Testbed for Wireless Embedded Devices 3

A Distributed Testbed for Wireless Embedded Devices

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3rd IEEE international Mediterranean conference on Communications and Networking, MeditCom 2023

作者： Hormann, Leander B. Potsch, Albert Kastl, Christian Priller, Peter Springer, Andreas Sensors and Communication Linz Center of Mechatronics GmbH Linz Austria Its Global Research & Technology Avl List GmbH Graz Austria Johannes Kepler University Linz Institute for Communications Engineering and RF-Systems Linz Austria

ISBN: (纸本)9798350333732

Wireless sensor networks are increasingly used for improving the operation of industrial machines and facilities. Such complex and distributed networks are composed of embedded devices. These devices are typically powered by batteries or energy harvesting, and can thus be classified as energy constrained devices. Especially, the embedded devices powered by energy harvesting rely on sufficient harvestable energy. The correct operation of the whole network may depend on the correct operation of a single device. Thus, relevant energy harvesting scenarios must be ideally covered by functional tests of such networks. To be able to emulate different energy harvesting scenarios in combination with the distributed character of such networks, we have developed a distributed testbed based on the robot operating system (ROS). This paper presents the architecture and describes relevant testing aspects for such devices. Furthermore, it introduces a use case for testing wireless sensor nodes supplied by energy harvesting and presents exemplary testing procedure results. Finally, it discusses the advantages of incorporating such testing procedures into a continuous integration process to verify the correct functionality of the embedded devices during development. © 2023 IEEE.

关键词： Testbeds

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Bias in Deep Learning Skin Cancer Detection: parallel Residual Convolution Network Classification and Racial Bias Quantification: Skin Cancer Racial Bias 24

Bias in Deep Learning Skin Cancer Detection: Parallel Residu...

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proceedings of the 3rd international conference on Computing Advancements

作者： Sumaiya Binte Shahid Mohammad Abu Yousuf Md. Biplob Hosen Sabbir Ahmed Mohammad Ali Moni Institute of Information Technology Jahangirnagar University Dhaka Bangladesh Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas Richardson USA AI and Cyber Futures Institute Charles Sturt University NSW 2795 Australia

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Method of determining the required number of database nodes in a distributed data processing system 3

Method of determining the required number of database nodes ...

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3rd IEEE international conference on Advanced Trends in information Theory, ATIT 2021

作者： Mukhin, Vadym Zavgorodnii, Valerii Nikitin, Valerii Kornaga, Yaroslav Fartushnyi, ivan Stepanov, Andrew Department of System Design National Technical University of Ukraine "igor Sikorsky Kyiv Polytechnic institute" Kiev Ukraine Department of information Systems and Technologies National Technical University of Ukraine "igor Sikorsky Kyiv Polytechnic institute" Kiev Ukraine Department of Economic Cybernetics National Technical University of Ukraine "igor Sikorsky Kyiv Polytechnic institute" Kiev Ukraine

ISBN: (纸本)9781665438452

We developed a method of determining the required number of database nodes, which is based on the mechanism of determining the weight coefficient of query types. it allows to obtain the required number of database nodes in a distributed system in order to meet the requirements for query processing parameters and increase their processing speed. This method allows to qualitatively and quantitatively determine the number of database nodes for a given set of a distributed data processing system parameters, that will provide the fastest query processing. © 2021 iEEE.

关键词： Query processing

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Research on operational test of space equipment under parallel system theory and artificial system modeling 3

Research on operational test of space equipment under parall...

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3rd IEEE international conference on Civil Aviation Safety and information Technology, ICCASIT 2021

作者： Yang, Chunzhou Wang, Manman Li, Changqing Li, Haoming College of Aviation Foundation Naval Aeronautical University Yantai264001 China College of Coastal Defense Naval Aeronautical University Yantai264001 China College of Aerospace Information Support Aerospace Engineering University Beijing101400 China

ISBN: (纸本)9781665425186

Aiming at the problems of long test period, high test cost and insufficient optimization of test management in current aerospace equipment combat test, this paper introduces parallel system theory, analyzes the feasibility of parallel system theory in aerospace equipment combat test by deeply analyzing the connotation of parallel system theory, and constructs a parallel system framework of Aerospace Equipment Combat based on parallel system theory, Based on the parallel system theory, this paper designs the process of Aerospace Equipment Combat test, and puts forward the key research contents and methods for the artificial system modeling technology, computational experiment design technology and parallel execution operation mechanism technology in the parallel system theory of Aerospace Equipment Combat test Decision evaluation provides theoretical guidance and technical reference. © 2021 IEEE

关键词： System theory

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