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6th international conference on Artificial Intelligence and Security, ICAIS 2020

6th International Conference on Artificial Intelligence and ...

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6th international conference on Artificial Intelligence and Security, ICAIS 2020

ISBN: (纸本)9783030578831

the proceedings contain 142 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detecting Bluetooth Attacks Against Smartphones by Device Status Recognition;covered Face Recognition Based on Deep Convolution Generative Adversarial Networks;an Efficient Method for Generating Matrices of Quantum Logic Circuits;a Mobile Device Multitasking Model with Multiple Mobile Edge computing Servers;A Localization Algorithm Based on Emulating Large Bandwidth with Passive RFID Tags;an Efficient Approach for Selecting a Secure Relay Node in Fog computing Social Ties Network;a Research for 2-m Temperature Prediction Based on Machine Learning;a New Scheme for Essential Proteins Identification in Dynamic Weighted Protein-Protein Interaction Networks;on Enterprises’ Total Budget Management Based on Big Data Analysis;computing Sentence Embedding by Merging Syntactic Parsing Tree and Word Embedding;ioT Device Recognition Framework Based on Network Protocol Keyword Query;Application of ARIMA Model in Financial Time Series in Stocks;a Topological Control Algorithm Based on Energy Consumption Analysis and Locomotion of Nodes in Ad Hoc Network;A Simulation Platform for the Brain-Computer Interface (BCI) Based Smart Wheelchair;a Learning Resource Recommendation Model Based on Fusion of Sequential Information;A Convolutional Neural Network-Based Complexity Reduction Scheme in 3D-HEVC;air Quality Index Prediction Based on Deep Recurrent Neural Network;sparse Representation for Face Recognition Based on Projective Dictionary Pair Learning;An Improved HF Channel Wideband Detection Method Based on Scattering Function;research on Quality Control of Marine Monitoring Data Based on Extreme Learning Machine;an Overview of Cross-Language Information Retrieval.

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Channel Coding QoS Evaluation for 3GPP Sub-6GHz and mmWave 5G V2X Highway Communication systems 7

Channel Coding QoS Evaluation for 3GPP Sub-6GHz and mmWave 5...

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7th international conference on algorithms, computing and systems, ICACS 2023

作者： Chatzoulis, Dimitrios Chaikalis, Costas Kosmanos, Dimitrios Anagnostou, Kostas Karetsos, George Lampsas, Petros Department of Digital Systems University of Thessaly Larissa Greece Department of Informatics & Telecommunications University of Thessaly Lamia Greece

ISBN: (纸本)9798400709098

Vehicle-to-everything (V2X) communications has gained a lot of interest in recent years and inevitably became part of the 5th-Generation New Radio (5G-NR) technologies, namely the sub-6GHz 5G and millimeter wave (mmWave) 5G. Also, the 3rd-Generation Partnership Project (3GPP) has defined reliability, end-to-end latency, data rate and range as the most important quality of service (QoS) parameters, which become crucial in highway propagation environments where the vehicles are moving at high speeds. these parameters are mostly improved by channel coding, which is a mechanism for limiting errors and improving the communication quality. therefore, in this paper, we investigate the impact of use of 4th-Generation Long-Term Evolution (4G-LTE) turbo codes, 5G-NR polar codes and low-density parity-check codes (LDPC) in 5G V2X highway propagation environments and analyze the QoS parameters for both sub-6GHz 5G and mmWave 5G technologies. Our analysis shows that turbo-based coding schemes can be a future candidate for small data frame 5G V2X highway communications, since they present superior performance in most of the aforementioned QoS parameters. © 2023 Copyright held by the owner/author(s).

关键词： Channel coding

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6th international conference on Artificial Intelligence and Security, ICAIS 2020

6th International Conference on Artificial Intelligence and ...

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6th international conference on Artificial Intelligence and Security, ICAIS 2020

ISBN: (纸本)9783030578800

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Technical Aspects of Using IoE (Internet of Energy) Metadata in Smart Cities

Technical Aspects of Using IoE (Internet of Energy) Metadata...

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international conference on Control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Islambek Rustambekov Balkibayeva Zhanagul Shahida Karakhodjaeva Aziz Ashurov Mukhammad Ali Turdialiev Akmal Akromov Jahongir Yuldashev Tashkent State University of Law Tashkent Uzbekistan Judge of the Constitutional Court of the Republic of Uzbekistan Tashkent Uzbekistan Department of International Private Law Tashkent State University of Law Tashkent Uzbekistan

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

this paper examines the technical aspects of utilizing Internet of Energy (IoE) metadata in smart city environments. through comparative and inductive analysis of existing literature and technical reports, we explore how advanced metadata management techniques can address inefficiencies in processing and analyzing large volumes of energy data in urban systems. Key findings include the potential for standardized metadata ontologies, edge computing for data preprocessing, and machine learning algorithms for pattern recognition in energy consumption. We propose strategies for developing unified IoE metadata management systems that integrate with broader smart city infrastructure. While metadata-driven approaches show promise for enhancing energy efficiency and sustainability in urban environments, challenges in data privacy and security remain. this research highlights IoE metadata as a critical tool for optimizing energy systems in smart cities through advanced data analytics and management techniques.

关键词： Machine learning algorithms Data analysis Smart cities Energy Internet Metadata Ontologies Energy efficiency Pattern recognition Sustainable development Edge computing

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A Comprehensive Review on Family Budget Management 6th

A Comprehensive Review on Family Budget Management

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6th international conference on Intelligent computing and Optimization, ICO 2023

作者： Akash, Rashik Shahriar Ullah, Mohammad Islam, Radiful Nahid, Sayed Reza, Ahmed Wasif Arefin, Mohammad Shamsul Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Computer Science and Engineering East West University Dhaka Bangladesh Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chattogram Bangladesh

ISBN: (纸本)9783031501500

In the modern economic era, households have become one of the most significant corporate entities, and personal finances are essential management-related topics. Effective management of personal finances at a family level is really important to address all the financial related issues in an organized way. Any automated budget management system can help a family to utilize their incoming income in an efficient way. In this paper, we try to address the potential researches that were carried out considering the budget management related issues with a strong focus on family budget management. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Finance

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Scaled Conjugate Gradient Digital Cancellation Algorithm Study for 6G Full Duplex Wireless Communication System

Scaled Conjugate Gradient Digital Cancellation Algorithm Stu...

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international Wireless Communications and Mobile computing conference, IWCMC

作者： Di Wu China Academy of Information and Communications Technology Beijing China

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361278

the relentless evolution of communication technologies has spurred sustained interest in 6G (6th Generation) full-duplex wireless communication systems, positioning these systems as integral components of future networks. the primary challenge lies in optimizing algorithms to enhance system performance and spectrum efficiency. this study focuses specifically on the application of the Scaled Conjugate Gradient (SCG) algorithm in the domain of digital self-interference cancellation, aiming to achieve performance optimization in full-duplex wireless systems. through an in-depth exploration of the principles and characteristics of the SCG algorithm, we apply it to critical aspects such as signal processing, interference cancellation, and more, with the goal of optimizing the overall system performance. through experiments, we evaluate the effectiveness of the SCG algorithm and conduct comparative analyses with other optimization algorithms. the experimental results demonstrate that the lower complexity of the SCG algorithm effectively addresses the issue of self-interference signal cancellation under high transmit power conditions, resolving nonlinear problems introduced by components such as power amplifiers. Importantly, the SCG algorithm outperforms other digital cancellation methods in this context.

关键词： Wireless communication 6G mobile communication Interference cancellation System performance Signal processing algorithms Power amplifiers Full-duplex system

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Joint conferences on 18th international conference on Intelligent systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired computing , NaBIC 2018

Joint Conferences on 18th International Conference on Intell...

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Joint conferences on 18th international conference on Intelligent systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired computing , NaBIC 2018

ISBN: (纸本)9783030166595

the proceedings contain 214 papers. the special focus in this conference is on Intelligent systems Design and Applications. the topics include: Quantum Inspired High Dimensional Conceptual Space as KID Model for Elderly Assistance;artificial Neural Networks: the Missing Link Between Curiosity and Accuracy;Metaheuristic for Optimize the India Speed Post Facility Layout Design and Operational Performance Based Sorting Layout Selection Using DEA Method;a Hybrid Evolutionary Algorithm for Evolving a Conscious Machine;a Cost Optimal Information Dispersal Framework for Cloud Storage System;multiple Sequence Alignment Using Chemical Reaction Optimization Algorithm;forensic Approach of Human Identification Using Dual Cross Pattern of Hand Radiographs;mixed Reality in Action - Exploring Applications for Professional Practice;AMGA: An Adaptive and Modular Genetic Algorithm for the Traveling Salesman Problem;hybrid Evolutionary Algorithm for Optimizing Reliability of Complex systems;Identification of Phishing Attack in Websites Using Random Forest-SVM Hybrid Model;Conflict Detection and Resolution with Local Search algorithms for 4D-Navigation in ATM;using Severe Convective Weather Information for Flight Planning;fault Tolerant Control Using Interval Type-2 Takagi-Sugeno Fuzzy Controller for Nonlinear System;a Semi-local Method for Image Retrieval;physical Modeling of the Tread Robot and Simulated on Even and Uneven Surface;ipBF: A Fast and Accurate IP Address Lookup Using 3D Bloom Filter;From Dynamic UML/MARTE Models to Early Schedulability Analysis of RTES with Dependent Tasks;novel Authentication System for Personal and Domestic Network systems Using Image Feature Comparison and Digital Signatures;improving Native Language Identification Model with Syntactic Features: Case of Arabic.

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Computer-Aided Detection of Atrial Fibrillation Episodes from Electrocardiogram Signals Using Variational Mode Decomposition 6

Computer-Aided Detection of Atrial Fibrillation Episodes fro...

引用

6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Parashar, Deepak Sharma, Kanhaiya Symbiosis Institute of Technology Symbiosis International University Computer Science & Engineering Department Maharashtra Pune India

ISBN: (纸本)9798350304480

Atrial Fibrillation (AF) is defined as a heart beating irregularly. It may increase the risk of stroke and sometimes results in heart failure. Lately, the number of patients with AF episodes has increased exponentially worldwide. Early detection is the only way to reduce and control its effect. However, it is crucial to detect AF in the early stages in most patients who do not show any significant symptoms in the early stage. Many recent studies have shown ways to identify early symptoms based on the signature present in the recording of the electrocardiogram. Usually, the signature is present in terms of either frequency domain or time-frequency domain characteristics. None of the studies have shown classification using features from each domain and described the specific behavior of each feature relating to the characteristic of AF. In this work, a rigorous collection of features from each domain is calculated and analyzed for the automatic detection of AF patterns using variational mode decomposition. High-frequency decomposed components have been used for further processing. the dataset from the MIT-BIH repository has been utilized to measure the robustness of the introduced approach. We obtained the highest accuracy of 98.67% on the MIT-BIH database. Obtained indicators show that the proposed method outperformed latest approaches. © 2023 IEEE.

关键词： Atrial Fibrillation Classification Feature Extraction Signal Processing Variational Mode Decomposition

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Software and algorithmic support for online assessment of transformer substation technical condition 35/6(10) kV 5

Software and algorithmic support for online assessment of tr...

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5th international Youth conference on Radio Electronics, Electrical and Power Engineering, REEPE 2023

作者： Galyautdinova, Alsu R. Ivshin, Igor V. Vladimirov, Oleg V. Nizamiev, Marat F. Safiullin, Albert H. Kazan State Power Engineering University Kazan Russia Gazprom Transgaz Kazan Kazan Russia

ISBN: (纸本)9798350399523

Most equipment condition monitoring systems operate separately from each other and allow assessing the technical condition of each equipment individually. In this work, the software of online estimation of technical condition of the whole transformer substation 35/6 (10) kV has been developed. Based on the developed algorithms, statistical processing of data obtained from installed sensors at the transformer substation is carried out online. the technique of assessing the technical condition allows remote monitoring, monitoring the state of the existing equipment and predicting changes in the technical condition. the solution of the set tasks allows efficient operation of the substation equipment and comprehensive assessment of the technical condition of the equipment of the entire transformer substation. © 2023 IEEE.

关键词： Condition monitoring

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Recommendation Engines: Traditional vs Deep Learning Approaches 6

Recommendation Engines: Traditional vs Deep Learning Approac...

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6th international conference on computing, Communication and Security, ICCCS 2021

作者： Dhawad, Aniket Sarkar, Suranjana Agarwal, Amit Darlapudi, Rama Kishore Wells Fargo International Solutions Private Limited Enterprise Analytics and Data Science Artificial Intelligence-Center of Excellence Bangalore India

ISBN: (纸本)9781665440394

With digitlzation growing by leap and bounds, websites are now overloaded with products and information density, making it challenging for customers to choose between a variety of products. the Recommendation engine enables companies to deliver their customers more personalized and customized products or information efficiently. As a result, the recommendation engine eventually helps in boosting different business performance metrics such as revenues, Click- through Rates (CTRs), conversions, etc., for these companies significantly. And in the long run, it also optimizes user experience, thus translating to higher customer satisfaction and retention. In this paper, we will highlight some of the contemporary algorithms used in building high-performance recommendation engines, illustrate use cases from Tech Giants that can be applied in the context of the banking and financial services domain and identify major challenges that are open for further research work. Also, in this paper, we will be using recommendation engine and recommender system alternatively as both are synonymous. © 2021 IEEE.

关键词： Recommender systems

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