Deep Learning Based Driver Behavior Modeling And Analysis

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Handbook of Intelligent Vehicles

Author : Azim Eskandarian
Publisher : Springer
ISBN 13 : 9780857290847
Total Pages : 0 pages
Book Rating : 4.2/5 (98 download)

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Book Synopsis Handbook of Intelligent Vehicles by : Azim Eskandarian

Download or read book Handbook of Intelligent Vehicles written by Azim Eskandarian and published by Springer. This book was released on 2012-02-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above.

Human Behavior and Traffic Safety

Author : Leonard Evans
Publisher : Springer Science & Business Media
ISBN 13 : 1461321735
Total Pages : 503 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Human Behavior and Traffic Safety by : Leonard Evans

Download or read book Human Behavior and Traffic Safety written by Leonard Evans and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers and discussions from a Symposium on :'Hu man Behavior and Traffic Safety" held at the General Motors Research Labora tories on September 23-25, 1984. This Symposium was the twenty-ninth in an annual series sponsored by the Research Laboratories. Initiated in 1957, these symposia have as their objective the promotion of the interchange of knowledge among specialists from many allied disciplines in rapidly developing or chang ing areas of science or technology. Attendees characteristically represent the aca demic, government, and industrial institutions that are noted for their ongoing activities in the particular area of interest. of this Symposium was to focus on the role of human behavior The objective in traffic safety. In this regard, a clear distinction is drawn between, on the one hand, "human behavior," and on the other "human performance." Human per formance at the driving task, or what the driver can do, has been the subject of much research reported in the technical literature. Although clearly of some rel evance, questions of performance do not appear to be central to most traffic crashes. Of much more central importance is human behavior, or what the driver in fact does. This is much more difficult to determine, and is the subject of the Symposium.

Proceedings of International Conference on Data Science and Applications

Author : Mukesh Saraswat
Publisher : Springer Nature
ISBN 13 : 9811653488
Total Pages : 792 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of International Conference on Data Science and Applications by : Mukesh Saraswat

Download or read book Proceedings of International Conference on Data Science and Applications written by Mukesh Saraswat and published by Springer Nature. This book was released on 2021-11-22 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Modelling Driver Behaviour in Automotive Environments

Author : Carlo Cacciabue
Publisher : Springer Science & Business Media
ISBN 13 : 1846286182
Total Pages : 441 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Modelling Driver Behaviour in Automotive Environments by : Carlo Cacciabue

Download or read book Modelling Driver Behaviour in Automotive Environments written by Carlo Cacciabue and published by Springer Science & Business Media. This book was released on 2010-04-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a general overview of the various factors that contribute to modelling human behaviour in automotive environments. This long-awaited volume, written by world experts in the field, presents state-of-the-art research and case studies. It will be invaluable reading for professional practitioners graduate students, researchers and alike.

Autonomous Ground Vehicles

Author : Ümit Özgüner
Publisher : Artech House
ISBN 13 : 1608071936
Total Pages : 289 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Autonomous Ground Vehicles by : Ümit Özgüner

Download or read book Autonomous Ground Vehicles written by Ümit Özgüner and published by Artech House. This book was released on 2011 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the near future, we will witness vehicles with the ability to provide drivers with several advanced safety and performance assistance features. Autonomous technology in ground vehicles will afford us capabilities like intersection collision warning, lane change warning, backup parking, parallel parking aids, and bus precision parking. Providing you with a practical understanding of this technology area, this innovative resource focuses on basic autonomous control and feedback for stopping and steering ground vehicles.Covering sensors, estimation, and sensor fusion to percept the vehicle motion and surrounding objects, this unique book explains the key aspects that makes autonomous vehicle behavior possible. Moreover, you find detailed examples of fusion and Kalman filtering. From maps, path planning, and obstacle avoidance scenarios...to cooperative mobility among autonomous vehicles, vehicle-to-vehicle communication, and vehicle-to-infrastructure communication, this forward-looking book presents the most critical topics in the field today.

Human-like Decision-making and Control for Automated Driving

Author : Chen Lv
Publisher : SAE International
ISBN 13 : 1468604325
Total Pages : 28 pages
Book Rating : 4.4/5 (686 download)

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Book Synopsis Human-like Decision-making and Control for Automated Driving by : Chen Lv

Download or read book Human-like Decision-making and Control for Automated Driving written by Chen Lv and published by SAE International. This book was released on 2022-03-11 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving takes a step forward to address breaking through the limitation of future automation applications, investigating in depth: Human driving feature modeling and analysis Personalized motion control for AVs Human-like decision making for AVs Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022005

Computer Systems and Communication Technology

Author : W. Zheng
Publisher : IOS Press
ISBN 13 : 1643684973
Total Pages : 100 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Computer Systems and Communication Technology by : W. Zheng

Download or read book Computer Systems and Communication Technology written by W. Zheng and published by IOS Press. This book was released on 2024-02-28 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer graphics, multimedia and communications technology are now so much a part of life for most people in the developed world, that doing without them has become almost unthinkable. This book presents 10 papers selected from the 42 papers delivered at the ICCSCT 2023, the 5th International Conference on Computer Systems and Communication Technology, held on 24 and 25 November 2023 in Kuala Lumpur, Malaysia. The conference provides a premier interdisciplinary platform for researchers, practitioners, and educators from around the world to showcase and discuss the latest innovations, trends, challenges, and solutions in the fields of computer systems and engineering, computer graphics and multimedia, and communication technology. Topics are varied, and those covered include: improving mass-gathering management using process-mining techniques; research into monocular-vision target detection and localization under non-orthographic conditions; the use of Python, Owlready and Sparql in processing the words in an ontological model of public political discourse; and the development of a 3D visualization-training system for switch-room safety procedures. Offering a varied overview of some of the recent developments and innovations in computer systems and engineering, computer graphics and multimedia, and communication technology, the book will be of interest to all those working in the field.

Deep Learning and Its Applications for Vehicle Networks

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 100087723X
Total Pages : 357 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Deep Learning and Its Applications for Vehicle Networks by : Fei Hu

Download or read book Deep Learning and Its Applications for Vehicle Networks written by Fei Hu and published by CRC Press. This book was released on 2023-05-12 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.

The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3031039181
Total Pages : 708 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) by : Aboul Ella Hassanien

Download or read book The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2022-04-16 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Author : Ekaba Bisong
Publisher : Apress
ISBN 13 : 1484244702
Total Pages : 703 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Building Machine Learning and Deep Learning Models on Google Cloud Platform by : Ekaba Bisong

Download or read book Building Machine Learning and Deep Learning Models on Google Cloud Platform written by Ekaba Bisong and published by Apress. This book was released on 2019-09-27 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers

Computational Intelligence in Automotive Applications

Author : Danil Prokhorov
Publisher : Springer
ISBN 13 : 3540792570
Total Pages : 288 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence in Automotive Applications by : Danil Prokhorov

Download or read book Computational Intelligence in Automotive Applications written by Danil Prokhorov and published by Springer. This book was released on 2008-05-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.

Advanced Intelligent Systems for Sustainable Development (AI2SD’2018)

Author : Mostafa Ezziyyani
Publisher : Springer
ISBN 13 : 3030119289
Total Pages : 1021 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) by : Mostafa Ezziyyani

Download or read book Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) written by Mostafa Ezziyyani and published by Springer. This book was released on 2019-03-06 with total page 1021 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the outcomes of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), held in Tangier, Morocco on July 12–14, 2018. Presenting the latest research in the field of computing sciences and information technology, it discusses new challenges and provides valuable insights into the field, the goal being to stimulate debate, and to promote closer interaction and interdisciplinary collaboration between researchers and practitioners. Though chiefly intended for researchers and practitioners in advanced information technology management and networking, the book will also be of interest to those engaged in emerging fields such as data science and analytics, big data, internet of things, smart networked systems, artificial intelligence, expert systems and cloud computing.

Artificial Intelligence and Security

Author : Xingming Sun
Publisher : Springer Nature
ISBN 13 : 303057881X
Total Pages : 841 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Artificial Intelligence and Security by : Xingming Sun

Download or read book Artificial Intelligence and Security written by Xingming Sun and published by Springer Nature. This book was released on 2020-08-31 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12239-12240 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 142 full papers presented in this two-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: Artificial intelligence and internet of things. Part II: Internet of things, information security, big data and cloud computing, and information processing.

Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems

Author : M. Shafik
Publisher : IOS Press
ISBN 13 : 1643685058
Total Pages : 342 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems by : M. Shafik

Download or read book Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems written by M. Shafik and published by IOS Press. This book was released on 2024-03-05 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent and development of AI and other new technologies, traffic and transportation have changed enormously in recent years, and the need for more environmentally-friendly solutions is also driving innovation in these fields. This book presents the proceedings of ICITT 2023, the 7th International Conference on Intelligent Traffic and Transportation, held from 18-20 September 2023 in Madrid, Spain. This annual conference is becoming one of the leading international conferences for presenting novel and fundamental advances in the fields of intelligent traffic and transportation. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in intelligent traffic and transportation and related techniques. ICITT welcomes scholars and researchers from all over the world to share experiences and lessons with other enthusiasts, and develop opportunities for cooperation. The 27 papers included here represent an acceptance rate of 64% of submissions received, and were selected following a rigorous review process. Topics covered include autonomous technology; industrial automation; artificial intelligence; machine, deep and cognitive learning; distributed networking; transportation in future smart cities; hybrid vehicle technology; mobility; cyber-physical systems; design and cost engineering; enterprise information management; product design; intelligent automation; ICT-enabled collaborative global manufacturing; knowledge management; product-service systems; optimization; product lifecycle management; sustainable systems; machine vision; Industry 4.0; and navigation systems. Offering an overview of recent research and current practice, the book will be of interest to all those working in the field.

Advanced Driver Intention Inference

Author : Yang Xing
Publisher : Elsevier
ISBN 13 : 0128191147
Total Pages : 260 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Advanced Driver Intention Inference by : Yang Xing

Download or read book Advanced Driver Intention Inference written by Yang Xing and published by Elsevier. This book was released on 2020-03-15 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. - Features examples of using machine learning/deep learning to build industry products - Depicts future trends for driver behavior detection and driver intention inference - Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS

Recent Advances in Robust Speech Recognition Technology

Author : Javier Ramirez
Publisher : Bentham Science
ISBN 13 : 1608051722
Total Pages : 223 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Recent Advances in Robust Speech Recognition Technology by : Javier Ramirez

Download or read book Recent Advances in Robust Speech Recognition Technology written by Javier Ramirez and published by Bentham Science. This book was released on 2011 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or whe"

Urban Transportation Systems

Author : Kundan Meshram
Publisher : John Wiley & Sons
ISBN 13 : 1394228449
Total Pages : 420 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Urban Transportation Systems by : Kundan Meshram

Download or read book Urban Transportation Systems written by Kundan Meshram and published by John Wiley & Sons. This book was released on 2024-09-27 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exciting new volume covers the most up-to-date advances, theories, and practical applications for non-motorized transportation (NMT) systems, geographic information system-based transportation systems, and signal processing for urban transportation systems. This book will allow readers to readers to identify traffic and transport problems in cities and to study mass transportation systems, and modes of transportation and their characteristics, focusing on transportation infrastructure which includes green bays, control stations, mitigation buildings, separator lanes, and safety islands. From this, readers will be able to study urban public transport systems and gain some background into intelligent transportation and telemetric systems, including techniques for designing transport telemetric systems and applying them to urban transportation. Applications include advanced traffic management systems, advanced traveler information systems, advanced vehicle control systems, commercial vehicle operational management, advanced public transportation systems, electronic payment systems, advanced urban transportation, security and safety systems, and urban traffic control. From this, an artificial Intelligence-based transportation system design using genetic algorithms and neural networks is discussed, to show applications in designs. These models and their studies are further extended in signal processing systems and geographic information systems (GIS) to improve transportation system design, and to apply this to the design of non-motorized transportation models, while ensuring pedestrian safety. All these models are further analyzed for environmental impact assessment, which include structural audits, analysis of site selection procedure, baseline conditions and major concerns, green building and its advantages, the description of potential environmental effects, and many more interesting topics.