Real Time Prediction Of Vehicle Locations In A Connected Vehicle Environment

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Data Analytics for Intelligent Transportation Systems

Author : Mashrur Chowdhury
Publisher : Elsevier
ISBN 13 : 0443138796
Total Pages : 572 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury

Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2024-11-02 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

Author : Zhijun Chen
Publisher : Elsevier
ISBN 13 : 0443273170
Total Pages : 197 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment by : Zhijun Chen

Download or read book Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment written by Zhijun Chen and published by Elsevier. This book was released on 2024-04-04 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of constructing advanced Autonomous Driving Maps. It includes coverage of such methods as: fusion target perception (based on vehicle vision and millimeter wave radar), cross-field of view object perception, vehicle motion recognition (based on vehicle road fusion information), vehicle trajectory prediction (based on improved hybrid neural network) and the driving map construction method driven by road perception fusion. An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.

2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)

Author : Zhenyuan Zhang
Publisher : Springer Nature
ISBN 13 : 9811922594
Total Pages : 1238 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) by : Zhenyuan Zhang

Download or read book 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) written by Zhenyuan Zhang and published by Springer Nature. This book was released on 2022-05-31 with total page 1238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality, peer-reviewed papers from the 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021), held in Beijing, China, on October 29–31, 2021. Presenting the latest developments and technical solutions in Intelligent Transportation engineering, it covers a variety of topics, such as intelligent transportation, traffic control, road networking, intelligent automobile and vehicle operation & management. The book will be a valuable reference for graduate and postgraduate audiences, researchers and engineers, working in Intelligent Transportation Engineering.

Advanced Hybrid Information Processing

Author : Shuai Liu
Publisher : Springer Nature
ISBN 13 : 3030945545
Total Pages : 523 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advanced Hybrid Information Processing by : Shuai Liu

Download or read book Advanced Hybrid Information Processing written by Shuai Liu and published by Springer Nature. This book was released on 2022-01-18 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the post-conference proceedings of the 5th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2021, held in October 2021. Due to COVID-19 the conference was held virtually. The 94 papers presented were selected from 254 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was “Social hybrid data processing”. The papers are named in topical sections as follows: Intelligent algorithms in complex environment; AI system research and model design; Method research on Internet of Things technology; Research and analysis with intelligent education.

Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 1351782320
Total Pages : 363 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications by : Fei Hu

Download or read book Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications written by Fei Hu and published by CRC Press. This book was released on 2018-02-20 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the most critical technical aspects of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. It covers the smart city concept and architecture and explains how V2V and V2I fit into it. It describes the wireless communication protocols for V2V and V2I. It then explains the hardware design process for vehicle communication transceiver and antenna systems. It explains next-generation wireless technologies and their requirements for vehicle communication protocols. Case studies provide the latest V2V and V2I commercial design details. Finally, it describes how to implement vehicle communication protocol from practical hardware design angle.

Green Connected Automated Transportation and Safety

Author : Wuhong Wang
Publisher : Springer Nature
ISBN 13 : 9811654298
Total Pages : 841 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Green Connected Automated Transportation and Safety by : Wuhong Wang

Download or read book Green Connected Automated Transportation and Safety written by Wuhong Wang and published by Springer Nature. This book was released on 2021-12-13 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings gather selected papers from the 11th International Conference on Green Intelligent Transportation Systems and Safety, held in Beijing, China on October 17-19, 2020. The book features cutting-edge studies on Green Intelligent Mobility Systems, the guiding motto being to achieve “green, intelligent, and safe transportation systems”. The contributions presented here can help promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility and efficiency. Given its scope, the book will benefit researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. The readers will be able to find out the Advances in Green Intelligent Transportation System and Safety.

Video Based Machine Learning for Traffic Intersections

Author : Tania Banerjee
Publisher : CRC Press
ISBN 13 : 1000969703
Total Pages : 194 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Video Based Machine Learning for Traffic Intersections by : Tania Banerjee

Download or read book Video Based Machine Learning for Traffic Intersections written by Tania Banerjee and published by CRC Press. This book was released on 2023-10-17 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts

Model Predictive Control for Integrating Traffic Control Measures

Author : András Hegyi
Publisher :
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Model Predictive Control for Integrating Traffic Control Measures by : András Hegyi

Download or read book Model Predictive Control for Integrating Traffic Control Measures written by András Hegyi and published by . This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Connected Vehicles in the Internet of Things

Author : Zaigham Mahmood
Publisher : Springer Nature
ISBN 13 : 3030361675
Total Pages : 346 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Connected Vehicles in the Internet of Things by : Zaigham Mahmood

Download or read book Connected Vehicles in the Internet of Things written by Zaigham Mahmood and published by Springer Nature. This book was released on 2020-01-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the latest smart transportation systems, IoV connectivity frameworks, issues of security and safety in VANETs, future developments in the IoV, technical solutions to address key challenges, and other related topics. A connected vehicle is a vehicle equipped with Internet access and wireless LAN, which allows the sharing of data through various devices, inside as well as outside the vehicle. The ad-hoc network of such vehicles, often referred to as VANET or the Internet of vehicles (IoV), is an application of IoT technology, and may be regarded as an integration of three types of networks: inter-vehicle, intra-vehicle, and vehicular mobile networks. VANET involves several varieties of vehicle connectivity mechanisms, including vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V), vehicle-to-cloud (V2C), and vehicle-to-everything (V2X). According to one survey, it is expected that there will be approximately 380 million connected cars on the roads by 2020. IoV is an important aspect of the new vision for smart transportation. The book is divided into three parts: examining the evolution of IoV (basic concepts, principles, technologies, and architectures), connectivity of vehicles in the IoT (protocols, frameworks, and methodologies), connected vehicle environments and advanced topics in VANETs (security and safety issues, autonomous operations, machine learning, sensor technology, and AI). By providing scientific contributions and workable suggestions from researchers and practitioners in the areas of IoT, IoV, and security, this valuable reference aims to extend the body of existing knowledge.

Creating Autonomous Vehicle Systems, Second Edition

Author : Liu Shaoshan
Publisher : Springer Nature
ISBN 13 : 3031018052
Total Pages : 221 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Creating Autonomous Vehicle Systems, Second Edition by : Liu Shaoshan

Download or read book Creating Autonomous Vehicle Systems, Second Edition written by Liu Shaoshan and published by Springer Nature. This book was released on 2022-05-31 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies.

Smart Computing and Communication

Author : Meikang Qiu
Publisher : Springer Nature
ISBN 13 : 3030341399
Total Pages : 426 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Smart Computing and Communication by : Meikang Qiu

Download or read book Smart Computing and Communication written by Meikang Qiu and published by Springer Nature. This book was released on 2019-11-04 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Smart Computing and Communications, SmartCom 2019, held in Birmingham, UK, in October 2019. The 40 papers presented in this volume were carefully reviewed and selected from 286 submissions. They focus on both smart computing and communications fields and aimed to collect recent academic work to improve the research and practical application in the field.

Digital Twins for Smart Cities and Villages

Author : Sailesh Iyer
Publisher : Elsevier
ISBN 13 : 0443288852
Total Pages : 702 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Digital Twins for Smart Cities and Villages by : Sailesh Iyer

Download or read book Digital Twins for Smart Cities and Villages written by Sailesh Iyer and published by Elsevier. This book was released on 2024-11-01 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts. - Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture - Provides use cases and practical deployment of research involved in the emerging uses of digital twins - Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context - Edited and authored by a global team of experts in their given fields

Smart Transportation and Green Mobility Safety

Author : Wuhong Wang
Publisher : Springer Nature
ISBN 13 : 981973052X
Total Pages : 543 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Smart Transportation and Green Mobility Safety by : Wuhong Wang

Download or read book Smart Transportation and Green Mobility Safety written by Wuhong Wang and published by Springer Nature. This book was released on with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Road Vehicle Automation 9

Author : Gereon Meyer
Publisher : Springer Nature
ISBN 13 : 3031111125
Total Pages : 188 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Road Vehicle Automation 9 by : Gereon Meyer

Download or read book Road Vehicle Automation 9 written by Gereon Meyer and published by Springer Nature. This book was released on 2022-07-09 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the ninth volume of a sub-series on Road Vehicle Automation, published as part of the Lecture Notes in Mobility. It gathers contributions to the Automated Road Transportation Symposium (ARTS), held on July 12-15, 2021, as a fully virtual event, and as a continuation of TRB's annual summer symposia on automated vehicle systems. Written by researchers, engineers and analysts from around the globe, this book offers a multidisciplinary perspectives on the opportunities and challenges associated with automating road transportation. It highlights innovative strategies, including public policies, infrastructure planning and automated technologies, which are expected to foster sustainable and automated mobility in the near future, thus addressing industry, government and research communities alike.

Proceedings of Third International Conference on Sustainable Expert Systems

Author : Subarna Shakya
Publisher : Springer Nature
ISBN 13 : 9811978743
Total Pages : 1025 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of Third International Conference on Sustainable Expert Systems by : Subarna Shakya

Download or read book Proceedings of Third International Conference on Sustainable Expert Systems written by Subarna Shakya and published by Springer Nature. This book was released on 2023-02-22 with total page 1025 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 3rd International Conference on Sustainable Expert Systems (ICSES 2022), held in Nepal during September 9–10, 2022. The book focuses on the research information related to artificial intelligence, sustainability and expert systems applied in almost all the areas of industries, government sectors and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.

Human-Automation Interaction

Author : Vincent G. Duffy
Publisher : Springer Nature
ISBN 13 : 3031107845
Total Pages : 512 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Human-Automation Interaction by : Vincent G. Duffy

Download or read book Human-Automation Interaction written by Vincent G. Duffy and published by Springer Nature. This book was released on 2022-10-31 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic area: transportation. Main areas of coverage include Section A: Interaction with Vehicle Automation; Section B: HCI in Automated Vehicles; Section C: Trust in Vehicle Automation; Section D: Physical Modeling of Vehicle Cabs; Section E: Task Simulation Automation via Digital Human Models; Section F: Maintenance and Manufacturing; Section G: Smart Cities and Connected Vehicles. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries.

Creating Autonomous Vehicle Systems

Author : Shaoshan Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681730081
Total Pages : 198 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Creating Autonomous Vehicle Systems by : Shaoshan Liu

Download or read book Creating Autonomous Vehicle Systems written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2017-10-25 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.