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دسته بندی: کامپیوتر ویرایش: نویسندگان: Olga Galinina, Sergey Andreev, Sergey Balandin, Yevgeni Koucheryavy سری: Lecture Notes in Computer Science, 12525 ISBN (شابک) : 3030657256, 9783030657253 ناشر: Springer سال نشر: 2021 تعداد صفحات: 466 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 56 مگابایت
در صورت تبدیل فایل کتاب Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 20th International Conference, NEW2AN 2020, and 13th Conference, ruSMART 2020, St. Petersburg, Russia, August 26–28, 2020, Proceedings, Part I به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب اینترنت اشیا، فضاهای هوشمند و شبکهها و سیستمهای نسل بعدی: بیستمین کنفرانس بینالمللی، NEW2AN 2020، و سیزدهمین کنفرانس، ruSMART 2020، سن پترزبورگ، روسیه، 26 تا 28 اوت 2020، مجموعه مقالات، بخش اول نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب مجموعه مقالات داوری مشترک بیستمین کنفرانس بینالمللی نسل بعدی ترافیک تلهترافیک و شبکهها و سیستمهای پیشرفته بیسیم، NEW2AN 2020 و سیزدهمین کنفرانس اینترنت اشیاء و فضاهای هوشمند، ruSMART 2020 است. این کنفرانس بهطور مجازی برگزار شد. همه گیری COVID-19 79 مقاله کامل اصلاح شده ارائه شده با دقت بررسی و از بین 225 مقاله ارسالی انتخاب شدند. مقالات NEW2AN به جنبه های مختلف شبکه های داده نسل بعدی، با توجه ویژه به شبکه های بی سیم پیشرفته و برنامه های کاربردی می پردازد. به طور خاص، آنها با رویکردهای جدید و نوآورانه برای تجزیه و تحلیل عملکرد و کارایی سیستمهای 5G و فراتر از آن، فرمولبندیهای نظری بازی، تئوری صفهای پیشرفته و هندسه تصادفی سروکار دارند، در حالی که اینترنت اشیا، امنیت سایبری، اپتیک، پردازش سیگنال را نیز پوشش میدهند. و همچنین جنبه های تجاری. ruSMART 2020، انجمنی را برای محققان دانشگاهی و صنعتی فراهم می کند تا در مورد ایده ها و روندهای جدید در مناطق در حال ظهور بحث کنند.
This book constitutes the joint refereed proceedings of the 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020, and the 13th Conference on Internet of Things and Smart Spaces, ruSMART 2020. The conference was held virtually due to the COVID-19 pandemic. The 79 revised full papers presented were carefully reviewed and selected from 225 submissions. The papers of NEW2AN address various aspects of next-generation data networks, with special attention to advanced wireless networking and applications. In particular, they deal with novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and stochastic geometry, while also covering the Internet of Things, cyber security, optics, signal processing, as well as business aspects. ruSMART 2020, provides a forum for academic and industrial researchers to discuss new ideas and trends in the emerging areas.
Preface Organization Contents – Part I Contents – Part II New Generation of Smart Services Identification of Abnormal Functioning of Devices of Cyber-Physical Systems 1 Introduction 2 Problem Statement 3 The Proposed Approach 4 Experiment 5 Conclusion References Energy-Aware Algorithm for LoRa Technology: Prototype Implementation 1 Introduction 2 Related Works 3 Problem Statement 4 Network Model 5 Evaluation 5.1 Experimental Testbed 5.2 Results Evaluation 6 Conclusion References Methods for Reducing the Amount of Data Transmitted and Stored in IoT Systems 1 Introduction 2 Clouds and Endpoint Architectures 3 Design and Results 4 Conclusion References Analysis of IDS Alert Correlation Techniques for Attacker Group Recognition in Distributed Systems 1 Introduction 2 Algorithm Classification 2.1 Attribute-Based Algorithms 2.2 Step-Based Algorithms 3 Results 4 Conclusion References Explaining Android Application Authorship Attribution Based on Source Code Analysis 1 Introduction 2 Related Works 2.1 Code Authorship Attribution 3 Methodology 4 Experiments 4.1 Data 4.2 Classification Performance Evaluation 4.3 Data Splitting and Oversampling 4.4 Classification and LIME Performance Evaluation on Extended Dataset 5 Conclusion References Next Generation Wired/Wireless Advanced Networks and Systems The Method of Forming the Digital Clusters for Fifth and Beyond Telecommunication Networks Structure Based on the Quality of Service 1 Introduction 2 Problem Statement 3 Network Model 4 Method of Forming Digital Clusters for the Telecommunication Networks of the Fifth and Beyond Generations 4.1 Cluster Size 4.2 Cluster Type 5 Conclusions References Analyzing the Effectiveness of Dynamic Network Slicing Procedure in 5G Network by Queuing and Simulation Models 1 Introduction 2 System Model and Metrics of Interest 2.1 Metrics of Effectiveness of Dynamic Network Slicing 3 Numerical Illustration of Metrics 3.1 Simplified Algorithm for Dynamic Network Slicing 3.2 Simplified Algorithm for Two Slices 3.3 Numerical Example 4 Queuing Model for Two Slices 4.1 Model Description 4.2 Infinitesimal Generator 4.3 Performance Characteristics 4.4 Numerical Example 5 Conclusion References Space Division Multiple Access Performance Evaluation in Ultra-Dense 5G Networks 1 Introduction 2 Mathematical Models of Antenna Arrays 2.1 Linear Antenna Array System 2.2 Planar Antenna Array System 3 DOA and Adaptive Beamforming Scenarios in 5G UDN 4 UE Separation Scenarios for Interference Suppression in 5G UDN Simulation 4.1 Azimuth Angle Separation 2D Case 4.2 Azimuth Distance Separation 2D Case 4.3 Elevation Angle Separation 3D Case 5 Conclusion References Analysis of the Response Time Characteristics of the Fog Computing Enabled Real-Time Mobile Applications 1 Introduction 2 System Model 3 The Response Time Analysis 3.1 CDFs of the Response Time Components 3.2 Analysis of the Total Response Time 4 Numerical Analysis 5 Conclusion References Efficiency of RF Energy Harvesting in Modern Wireless Technologies 1 Introduction 2 Background of the Study 3 Restrictions Imposed by the Legislation of the Russian Federation 4 Constants and Methodology 5 Results 6 Conclusions References Information Security State Analysis of Elements of Industry 4.0 Devices in Information Systems 1 Introduction 2 Formal Problem Statement 3 Proposed Approach 4 Experiment 5 Conclusion References The State Identification of Industry 4.0 Mechatronic Elements Based on Behavioral Patterns 1 Introduction 2 Proposed Approach 3 Experimentation 4 Conclusion References Data Mining Algorithms Parallelization in the Framework of Agent-Oriented Programming 1 Introduction 2 Agent-Oriented Programming Features and Related Works 3 Implementation of Data Mining Algorithm in the Framework of Agent-Oriented Programming 3.1 Data Mining Algorithm Representation as a Function 3.2 Data Mining Algorithm Representation in the Framework of Agent-Oriented Programming 3.3 The Approach for the Implementation of Data Mining Algorithms in the Framework of Agent-Oriented Programming 4 Parallelization of Naive Bayes Algorithm in the Framework of Agent-Oriented Programming 5 Performance Evaluation 6 Conclusion References The IoT and Big Data in the Logistics Development. Crude Oil Transportation in the Arctic Zone Case Study 1 Introduction 2 Methods 3 Results 4 Conclusion 5 Discussion References Availability of Emergency Power Supply for Voice Communications of Air Traffic Control System 1 Introduction 2 Review of References 3 Model Formulation and Solution 4 Conclusions References BotSpot: Deep Learning Classification of Bot Accounts Within Twitter 1 Introduction 2 Related Work 3 Proposed Approach 3.1 Approach Overview 3.2 Data Collection and Processing 3.3 Features Selection 4 Experimental Results 4.1 Experiment Setup 4.2 Test Results 5 Conclusion References Standardization of Road Quality Assessment by Developing Mobile Applications 1 Introduction 2 Norms and Standards as an Information and Analytical Product 3 An Example of the Method of Standardization Based on Compliance with the Standards Through the Use of Mobile Applications 4 Classification of Uneven Roadway 5 The Process of Data Collection and Description of Entities 6 Conclusions References Service-Oriented Technology Architecture for Value-Based and Personalized Medicine 1 Introduction 2 Materials and Methods 3 Results 4 Conclusion and Discussion References SoMIAP: Social Media Images Analysis and Prediction Framework 1 Introduction 2 Related Work 3 Proposed Approach 3.1 Place Location 3.2 Face Recognition 4 Experiments and Discussion 4.1 Location Recognition Experiment Results 4.2 Face Recognition Experiments Results 4.3 Comparison 5 Conclusions References Modeling and Investigation of the Movement of the User of Augmented Reality Service 1 Introduction 2 Goal of Investigation 3 User Model 4 User Movement Patterns at Different Speeds 5 Conclusion References Audio Interval Retrieval Using Convolutional Neural Networks 1 Introduction 2 Related Works 3 Method 3.1 Performance Metrics 3.2 Data 3.3 Interval Retrieval 3.4 Models 4 Results and Analysis 5 Discussion 6 Conclusions References Modeling the NB-IoT Transmission Process with Intermittent Network Availability 1 Introduction 2 System Model 2.1 Deployment and Connectivity 2.2 Sensor Behavior and Traffic 2.3 The Captured NB-IoT Mechanisms 2.4 Metrics of Interest 3 Mathematical Model 3.1 Approach at the Glance and Assumptions 3.2 Markov Model 3.3 Performance Metrics 4 Numerical Results 4.1 Accuracy Assessment 4.2 System Performance 5 Conclusions References Evaluation of Routing Protocols for Multi-hop Communication in LPWAN 1 Introduction 2 Low Power Wide Area Networks 3 Routing Protocols 4 Network and Simulation Model 5 Simulation Results 5.1 Analysis in Varying the Network Size 5.2 Analysis in Varying Number of Nodes 6 Conclusion References Deep Learning with Long Short-Term Memory for IoT Traffic Prediction 1 Introduction 2 Literature Review 3 IoT Model Simulation 4 LSTM Deep Learning 5 Training LSTM - Deep Learning 6 Simulation Results 7 Conclusion References VANET Traffic Prediction Using LSTM with Deep Neural Network Learning 1 Introduction 2 Deep Learning 3 LSTM Neural Network 4 VANET Simulation 5 Simulation Results 6 Conclusion References Modelling Medical Devices with Honeypots 1 Introduction 2 Overview of Networked Medical Devices 2.1 Healthcare Environment 2.2 Restrictions on the Implementation of Technical Security Controls 2.3 Common Technical Characteristics 2.4 Typical Threats 3 Construction 3.1 Technical Definition 3.2 Model 4 Conclusion References High Density Internet of Things Network Analysis 1 Introduction 2 Network Modeling 3 Modeling Results 4 Conclusions References Dynamic Programming Method for Traffic Distribution in LoRaWAN Network 1 Introduction 2 Model and Problem Formulation 3 Methods of Distribution Radio Frequency Channels 4 Conclusion References Study of the Accuracy of Determining the Location of Radio Emission Sources with Complex Signals When Using Autocorrelation and Matrix Receivers in Broadband Tools for Analyzing the Electronic Environment 1 Introduction 2 The Ratio of the Root Mean Square Errors of Determining the Location of the Radio Sources Using the Autocorrelation and Matrix Receiver 3 Results of the Studies 4 Conclusion References Electromagnetic Compatibility Research of Non-standard LTE-1800 TDD Base Stations for Railway Applications and Base Stations LTE-1800 FDD 1 Introduction 2 EMC-Scenarios for Study of LTE-1800 TDD and LTE-1800 FDD Network Sharing 3 Conditions of EMC Providing for LTE-1800 FDD Radio Access Networks 4 Conditions of EMC Providing Between Base Stations LTE-1800 TDD and LTE-1800 FDD 5 Definition and Providing of Norms of Spatial and Territorial Separation for LTE Base Stations 6 Conclusion References Elimination of Carrier Frequency Offset of Local Oscillator to Improve Accuracy of GNSS Positioning 1 Introduction 2 The Idea 3 Modeling 3.1 Carrier Aiding 3.2 Model Description 3.3 Simulation Results 4 Results 5 Conclusions References Modified Direct Positioning Method in Satellite Geolocation 1 Introduction 2 Positioning Methods 3 Simulation 4 Conclusions References Offset Generation and Interlayer Network Architecture for 5GNR LDPC Parallel Layered Decoder with Variable Lifting Factor Support 1 Introduction 2 Parallel Layered Decoder 2.1 MS Loosely Coupled Algorithm 2.2 Adaptive Normalized MS Algorithm 2.3 Layered and Parallel Layered Decoders 3 Proposed Decoder Hardware Architecture 3.1 Overall Decoder Architecture 3.2 Layer Processing Unit Architecture 3.3 Layer Sequencing Optimizations 4 Decoder Throughput and Resources Estimates 5 Conclusion References Bitstreams Multiplexing with Trellis-Coded Modulation and the Fixed Point LDPC Decoding Procedure for Centralised Wireless Networks 1 Introduction 2 The 5G mmWave 2.1 Description of Purpose 2.2 Description of the Channel Structure and Numerologies 2.3 Description of 5G LDPC 3 System Model 3.1 Common System 3.2 KPI 3.3 Basic Scenario of Bitstream Multiplexing 3.4 Scenario with Two Streams 4 Numerical Examples 5 Conclusion References About Burst Decoding for Block-Permutation LDPC Codes 1 Introduction 2 Channel Models with Memory 2.1 Data Transmission 2.2 Information Storing 2.3 Information Security 3 Low-Density Parity-Check Codes 4 Decoding of Error Bursts for Block-Permutation LDPC Codes 5 Simulation Results 6 Conclusion References Estimation of the Possibility of PAPR Reduction for Optimal Signals 1 Introduction 2 Optimization Problem 2.1 Method for Solving the Optimization Problem 3 Examples of Solutions of the Optimization Problem 4 Conclusion References Study of Detection Characteristics in Recognition of Simple Radio Pulses and Signals with LFM and PSK in the Autocorrelation Receiver 1 Introduction 2 Method for Determining the Types of Radar Signals in an Autocorrelation Receiver 3 Simulation of the Process of Detecting Radar Signals in an Autocorrelation Receiver 4 Conclusion References Wideband Tunable Delay Line for Microwave Signals Based on RF Photonic Components 1 Introduction 2 State of the Art Review 3 MW Signal Delay Line Operating Principle 4 Delay Line Model 5 Losses and Signal Distortion in Delay Line Model 6 Conclusion References BER Performance of SEFDM Signals in LTE Fading Channels with Imperfect Channel Knowledge 1 Introduction 2 System Model 3 Channel Estimation and Equalization 4 Simulation Results 5 Conclusion References Sensitivity of Energy Spectrum Shape and BER to Variation of Parameters Used in Constraint on Correlation Coefficient During FTN Pulse Optimization 1 Introduction 2 Optimization Problem 3 Illustration of Optimization Procedure with Varying Parameters of Constraint Taken into Account 4 Results of Solving the Optimization Problem with Different Constraint Parameters 5 Conclusions References Author Index