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Semantic Slicing across the distributed Intelligent 6G Wireless Networks 20

Semantic Slicing across the Distributed Intelligent 6G Wirel...

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20th Annual IEEE international conference on Sensing, Communication, and Networking (SECON)

作者： Loven, Lauri Shahid, Hafiz Faheem Le Nguyen Harjula, Erkki Silven, Olli Pirttikangas, Susanna Lopez, Miguel Bordallo Univ Oulu Ctr Ubiquitous Comp Oulu Finland Univ Oulu Ctr Wireless Commun Oulu Finland Univ Oulu Ctr Machine Vis & Signal Anal Oulu Finland

ISBN: (纸本)9798350300529

In the age of the internet of things (IoT) and the expanding computing continuum, it's crucial to manage and share resources at the edges of networks. this position paper presents a new concept known as 'semantic slicing'. this approach harnesses the power of artificial intelligence (AI), wireless networks, edge computing, and sensing technologies to enable novel applications, optimize resource allocation, and streamline data processing and decision-making across complex systems spanning the computing continuum. Semantic slicing applies a deep understanding of the data and specific application requirements to intelligently allocate resources and distribute processing tasks in the computing continuum. this strategy allows for the creation of systems that are not only more efficient and responsive, but also better equipped to adapt to a variety of applications and services.

关键词： Semantics

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Towards a Simulation as a Service Platform for the Cloud-to-things Continuum

Towards a Simulation as a Service Platform for the Cloud-to-...

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29th international conference on Parallel and distributed computing (Euro-Par)

作者： Valdez, Wilson Baniata, Hamza Markus, Andras Kertesz, Attila Univ Szeged Dugon Ter 13 H-6720 Szeged Hungary FrontEndArt Software Ltd Somogyi U 13 H-6720 Szeged Hungary

ISBN: (纸本)9783031488023;9783031488030

In the past years, we have seen an unprecedented pace of technological development in smart applications. Smart Systems incorporate securely connected sensors, actuators, and data processing resources to provide digital services. they provide a wide range of smart applications using emerging technologies that address governmental or industrial processes or citizen life in smart cities, and many of them have been affected by the COVID-19 pandemic which involved a general lack of trust. Integrating Blockchain-based data management into smart systems can enhance the performance, trust, and privacy of their applications, which are getting more and more crucial. In this paper, we propose a vision for a unified Simulation as a Service platform, which will be able to model and investigate Blockchain-based smart systems exploiting IoT, Fog, and Cloud computing infrastructures.

关键词： Simulation Blockchain internet of things Fog computing Cloud computing

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5th international conference on 3D Imaging technologies—Multidimensional Signal Processing and Deep Learning, 3DIT-MSP and DL 2023

5th International Conference on 3D Imaging Technologies—Mul...

引用

5th international conference on 3D Imaging technologies—Multidimensional Signal Processing and Deep Learning, 3DIT-MSP and DL 2023

ISBN: (纸本)9789819751808

the proceedings contain 59 papers. the special focus in this conference is on 3D Imaging technologies—Multidimensional Signal Processing and Deep Learning. the topics include: Digital Twin Technology Approach Based on the Hierarchical IDP Tensor Decomposition;modeling Technology for Complex Dynamic Operating Environment of Power Grid Based on Digital Twins;design of a Digital Twin Platform Based on distributed computing and Resource Optimization Algorithms;deep Learning Network Optimization Combining 3D Imaging and Multidimensional Signal Processing;time Series Prediction Application of Deep Learning in Multidimensional Signal Processing;improving Abstractive Summarization with Graph Sequence Model;advancing Semantic Segmentation and Interpretation of 3D Images through Integrated Deep Learning and Natural Language Processing Techniques;children’s Toy Product Design Based on Augmented Reality Technology;based on the Neural Network Classification of Human Behavior Research;development of an Independent Adversarial Sample Detection Model, Based on Image Features;Visualization and Analysis of CNN Adversarial Training;video Violence Detection Method Based on Multi-Feature and Graph Convolutional Network;Enhancing Realized Volatility Prediction: An Exploration into LightGBM Baseline Models;terminal Anomaly Discovery Technology Based on Service Behavior Deviation;An Efficient CRNN Model with the Multi-scale Feature Fusion for Text Recognition from Chinese Medical Reports;advancing Precision Drug Screening: Integrating Imaging Technology and Artificial Intelligence for Novel Models;a Short Video Retrieval Method Based on Spatio-Temporal Feature Fusion;spatial Data Transformation and Fusion Expression Based on Geometric Algebra;EM2-YOLO: Lightweight Remote Sensing Image Detection;Tower-Type Detection of UAV Aerial Image Based on YOLOV5 Network Model.

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Research on internet Public Opinion Analysis Technology in the New Media Era Based on Hadoop Platform 4

Research on Internet Public Opinion Analysis Technology in t...

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4th international conference on Computers, Information Processing and Advanced Education, CIPAE 2023

作者： Yang, Xiaojie Liaoning Institute of Science and Engineering Jinzhou China

ISBN: (纸本)9798350342710

Hadoop is an open-source distributed infrastructure developed based on Java. As one of the most popular technologies in the background of cloud computing and big data era, it solves the key problems of big data parallel computing, storage and management, and presents high security, stability, efficiency, scalability and low cost. In the new media era, information communication presents the characteristics of multiple communication subjects, diverse carriers, timeliness, openness and interactivity, which lead to the transfer of traditional media audience to new media. Based on Hadoop platform, this paper carries out research on internet public opinion analysis technology in the new media era, constructs a mathematical model for internet public opinion analysis, designs internet public opinion analysis and its implementation methods in the new media era, which is of great significance for improving the governance level of internet public opinion in the new media era. © 2023 IEEE.

关键词： Big data

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Privacy-Preserving Collaborative AI for distributed Deep Learning with Cross-sectional Data 5

Privacy-Preserving Collaborative AI for Distributed Deep Lea...

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5th international conference on Bio-engineering for Smart technologies, BioSMART 2023

作者： Iqbal, Saeed Qureshi, Adnan N. Aurangzeb, Khursheed Javeed, Khalid University of Central Punjab Faculty of Information Technology & Computer Science Department of Computer Science Lahore Pakistan King Saud University College of Computer and Information Sciences Department of Computer Engineering Riyadh Saudi Arabia University of Sharjah College of Computing and Informatics Department of Computer Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798350338492

the article discusses the challenges of using deep learning in healthcare due to the lack of extensive medical datasets and concerns about confidentiality and privacy. the article then focuses on the analysis of skin lesion images, which are complex and difficult to classify. the article presents a unique CNN model (skin-net) using a progressively private federated learning architecture to potentially address these issues. Recent advancements in medical image analysis using convolutional neural networks and federated learning techniques have shown promising results (96.19 accuracy, 96.37 sensitivity and 96.53 specificity) in accurately classifying skin diseases while maintaining data privacy. Using these methods offers a potentially effective way to examine human skin while improving the model's generalization performance through image augmentation. © 2023 IEEE.

关键词： Deep learning

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Accurate Estimation Technique Development for Second Hand Car through Linear Regression Algorithm 5

Accurate Estimation Technique Development for Second Hand Ca...

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5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Jain, Satwik Punia, Sanjeev Kumar Galgotias University School of Computing Science & Engineering Greater Noida India

ISBN: (纸本)9798350383522

Car production volumes have increased dramatically over the past decade, reaching 92 million vehicles produced by 2019. this increase has particularly boosted the used car market, emerging as a growing industry thanks to the internet so fashionable methods Need to stay current market trends for determining real value have increased in many applications of machine learning, its use in predicting problems stands out in the way in a remarkable way. this work focuses on the use of machine learning algorithms, in particular linear regression, to predict used car prices and to develop mathematical models using data with specific characteristics. In this period marked by rapid growth, our research is at the forefront of a new approach to car price forecasting. Our solution, using machine learning techniques, aims to provide comprehensive support, significantly saving time and costs associated with car pricing calculations. Forecasting the price of a car is a major one, requiring a great deal of expertise and thorough diligence. We thoroughly examined a variety of factors to make accurate and reliable predictions. We used Linear Regression, a leading machine learning technique, to develop a +model to predict used car prices. this method incorporates multiple independent variables and one dependent variable, so that actual and predicted values can be compared to assess forecast accuracy Our study uses a system with a forced dependent variable on the cost depending on factors such as mileage, year of production, and variety come other characteristics. © 2024 IEEE.

关键词： Data Preprocessing Feature Engineering Kaggle Dataset Linear Regression Numpy Vehicle Price Prediction

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A Roadmap Toward Prospects for IoT Enabled 5G Networks 7

A Roadmap Toward Prospects for IoT Enabled 5G Networks

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Singh, Gurpreet Singh, Jaspreet Mitra, Debarghya Prabha, Chander Department of CSE Chandigarh University Mohali India Department of Mathematics Chandigarh University Mohali India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9781665464086

the term"internet of things" (IoT) refers to both real objects and browser objects as well as the full infrastructure of links through which they connect. through the use of existing network infrastructure, the IoT makes it possible to sense and operate these entities remotely, opening up possibilities for a closer connection between the real world and machine systems. the internet of things (IoT) could one day just became a comparatively straightforward to 5G (fifth generation) *** is possible to help that this next generation of the intelligent network by establishing a platform that incorporate, in addition to the communications network, IoT support, to provide a heterogeneous distributed system, thanks to the upcoming internet of things (IoT), a component of pillars of the 5G network. this paper discusses a futuristic upcoming network architecture powered by IoT and 5G while providing a thorough assessment of next demand response, this technology is supposed to address the issue of the massive increase in daily gadgets in every presence of modern life. IoT which is made up of a plethora of devices, technologies enablers over 5G-IoT era used by 5G to its quick data transfer capabilities. Bibliometric technique is used to analyze the research article on IoT-5G to investigate potential for this technology. Also, paper proffers some of the issues and challenges related to this innovative 5G-IoT trend. © 2023 IEEE.

关键词： internet of things

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A Security model with efficient AES and Security Performance Trade-off Analysis of Cryptography Systems with Cloud computing 5

A Security model with efficient AES and Security Performance...

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5th IEEE international conference on Electrical, Computer and Communication technologies, ICECCT 2023

作者： Kaur, Gaganpreet Bharathiraja, N. Murugesan, S. Pradeepa, K. Sudhakar, G. Vinoth Kumar, M. Chitkara University Institute of Engineering & Technology Chitkara University Rajpura India Tagore Engineering College Department of IT Chennai India St. Michael College of Engineering and Technology Kalayarkoil Department of CSE Tamil Nadu Sivaganga630551 India Sri Sai Ranganathan Engineering College Department of CSE Tamil Nadu Coimbatore India Dmi-St.Eugene University Dept. of CSE Chibombo District Zambia

ISBN: (纸本)9781665493604

Cloud computing is awesome progress the information technology. It allows users to store a large amount of data on a remote storage location and access files, software, and services through their internet connection on the personal computer based on the pay-per-use model. End-users mostly use the cloud for storing information on the cloud, sharing files, and data backup. In fact, according to the flex era 2021 state of cloud report, roughly 90 % of enterprises anticipate cloud users have been expanded because of COVID-19. Data security and privacy are basic concerns because of the nature of storing unencrypted cloud computing. though many encryption standards are being used to make crucial information safe, single encryption is not able to cope with fast computing systems. To circumvent the threats, this paper uses a triple encryption approach before porting on a cloud with a hash value to deliver the data integrity, confidentiality, and non-repudiation. this solution is designed to offer complete data security to the data throughout the data life cycle, such as to data in transit, and data in storage. Subsequently, Improved AES achieves better optimization over AES. Moreover, the security and performance analysis of the proposed approach with the existing approaches assist to find the best security performance trade-off. © 2023 IEEE.

关键词： Cryptography

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MESDD: A distributed Geofence-Based Discovery Method for the computing Continuum 29th

MESDD: A Distributed Geofence-Based Discovery Method for the...

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29th international conference on Parallel and distributed computing (Euro-Par)

作者： Horvath, Kurt Kimovski, Dragi Uran, Christoph Woellik, Helmut Prodan, Radu Univ Klagenfurt Inst Informat Technol Klagenfurt Austria Carinthian Univ Appl Sci Fac Engn & IT Klagenfurt Austria

ISBN: (纸本)9783031396977;9783031396984

Service discovery is a vital process that enables low latency provisioning of internet of things (IoT) applications across the computing continuum. Unfortunately, it becomes increasingly difficult to identify a proper service within strict time constraints due to the high heterogeneity of the computing continuum. Moreover, the plethora of network technologies and protocols commonly used by IoT applications further hinders service discovery. To address these issues, we introduce a novel Mobile Edge Service Discovery using the DNS (MESDD) algorithm, which uses a so-called Intermediate Discovery Code to identify suitable service instances. MESDD uses geofences for fine-grained service segmentation based on a naming scheme that identifies users' locations across the computing continuum. We deployed a real-life distributed computing continuum testbed and compared MESDD with three related methods, outperformed by 60% after eight update iterations.

关键词： Fog and Edge computing service discovery geofence DNS

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Trusted Auditing of Data Operation Behaviors in Cloud based on Blockchain and TEE 21

Trusted Auditing of Data Operation Behaviors in Cloud based ...

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21st IEEE international Symposium on Parallel and distributed Processing with Applications, 13th IEEE international conference on Big Data and Cloud computing, 16th IEEE international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Xu, Shujiang Wang, Fansheng Wang, Lianhai Mihaljevic, Miodrag J. Zhang, Shuhui Shao, Wei Huang, Qihao Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Mathematical Institute The Serbian Academy of Sciences and Arts Belgrade Serbia Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (纸本)9798350329223

With the rapid development of the new generation of information technologies, including cloud computing, 5G, and the internet of things, data outsourcing storage in the cloud has brought great convenience to data storage or access anytime and anywhere. Due to the separation of ownership and management of outsourced stored data, it faces data security risks, including data loss and personal privacy disclosure. the third-party audit of data operational behavior by logs is often employed to strengthen the security of outsourced data. However, some privacy breach incidents in recent years show that third parties who may leak information about data and users' identities are not always trustworthy. To achieve data security and privacy protection, an operation behavior auditing scheme for outsourced data is proposed with the blockchain rather than third parties. the data operation behavior audit is carried out from three dimensions: integrity of the operation behavior log, the credibility of the operation behavior information, and compliance of operation behavior. the security analysis and experiment results indicate that this scheme is secure and feasible. © 2023 IEEE.

关键词： Blockchain

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