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Author: Fengxiang Qiao Publisher: ISBN: Category : Data compression (Computer science) Languages : en Pages : 68
Book Description
Intelligent Transportation Systems (ITS) generates massive amounts of traffic data, which posts challenges for data storage, transmission and retrieval. Data compression and reconstruction technique plays an important role in ITS data procession. Traditional compression methods have been utilized in Transportation Management Centers (TMCs), but the data redundancy and compression efficiency problems remain. In this report, the wavelet incorporated ITS data compression method is initiated. The proposed method not only makes use of the conventional compression techniques but, in addition, incorporates the one-dimensional discrete wavelet compression approach. Since the desired wavelet compression is a lossy algorithm, the balancing between the compression ratio and the signal distortion is exceedingly important. During the compression process, the determination of the threshold is the key issue that affects both the compression ratio and the signal distortion. An algorithm is proposed that can properly select the threshold by balancing the two contradicted aspects. Three performance indexes are constructed and the relationships between the three indices and the threshold are identified in the algorithm. A MATLAB program with the name Wavelet Compression for ITS Data (WCID) has been developed to facilitate the compression tests. A case study on TransGuide ITS data was put into play and a final compression ratio of less than one percent on the trade-off threshold value shows that the proposed approach is practical. Finally, the threshold selection algorithm can be further tuned up utilizing Autoregressive model so that the quality of reconstructed data can be improved with a minor overhead of saving only a few parameters.
Author: Fengxiang Qiao Publisher: ISBN: Category : Data compression (Computer science) Languages : en Pages : 68
Book Description
Intelligent Transportation Systems (ITS) generates massive amounts of traffic data, which posts challenges for data storage, transmission and retrieval. Data compression and reconstruction technique plays an important role in ITS data procession. Traditional compression methods have been utilized in Transportation Management Centers (TMCs), but the data redundancy and compression efficiency problems remain. In this report, the wavelet incorporated ITS data compression method is initiated. The proposed method not only makes use of the conventional compression techniques but, in addition, incorporates the one-dimensional discrete wavelet compression approach. Since the desired wavelet compression is a lossy algorithm, the balancing between the compression ratio and the signal distortion is exceedingly important. During the compression process, the determination of the threshold is the key issue that affects both the compression ratio and the signal distortion. An algorithm is proposed that can properly select the threshold by balancing the two contradicted aspects. Three performance indexes are constructed and the relationships between the three indices and the threshold are identified in the algorithm. A MATLAB program with the name Wavelet Compression for ITS Data (WCID) has been developed to facilitate the compression tests. A case study on TransGuide ITS data was put into play and a final compression ratio of less than one percent on the trade-off threshold value shows that the proposed approach is practical. Finally, the threshold selection algorithm can be further tuned up utilizing Autoregressive model so that the quality of reconstructed data can be improved with a minor overhead of saving only a few parameters.
Author: Hojjat Adeli Publisher: John Wiley & Sons ISBN: Category : Computers Languages : en Pages : 256
Book Description
&Quot;This book shows how wavelets can be used to enhance computational intelligence for chaotic and complex pattern recognition problems. By integrating wavelets with other soft computing techniques such as neurocomputing and fuzzy logic, complicated and noisy pattern recognition problems can be solved effectively. The book focuses on applications in intelligent transportation systems (ITS) where a number of very complicated pattern recognition problems have eluded researchers over the past few decades.". "Wavelets in Intelligent Transportation Systems is an invaluable resource for computational intelligence researchers and transportation engineers involved in the application of advanced computational techniques for ITS."--BOOK JACKET.
Author: Valentina Emilia Balas Publisher: Springer ISBN: 3319387898 Category : Technology & Engineering Languages : en Pages : 728
Book Description
This volume includes the proceedings of the 2015 International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2015) which was held in Xi’an on December 12-13, 2015. The conference provided a platform for all professionals and researchers from industry and academia to present and discuss recent advances in the field of Information Technology and Intelligent Transportation Systems. The presented information technologies are connected to intelligent transportation systems including wireless communication, computational technologies, floating car data/floating cellular data, sensing technologies, and video vehicle detection. The articles focusing on intelligent transport systems vary in the technologies applied, from basic management systems to more application systems including topics such as emergency vehicle notification systems, automatic road enforcement, collision avoidance systems and some cooperative systems. The conference hosted 12 invited speakers and over 200 participants. Each paper was under double peer reviewed by at least 3 reviewers. This proceedings are sponsored by Shaanxi Computer Society and co-sponsored by Chang’an University, Xi’an University of Technology, Northwestern Poly-technical University, CAS, Shaanxi Sirui Industries Co., LTD.
Author: Hojjat Adeli Publisher: CRC Press ISBN: 1482281767 Category : Technology & Engineering Languages : en Pages : 440
Book Description
Recent estimates hypothesize that the US will need $1.6 trillion dollars for the rehabilitation, replacement, and maintenance of existing infrastructure systems within the next 20 years. Presenting a new vision and way of designing and managing the civil infrastructure of the nation, Intelligent Infrastructure: Neural Networks, Wavelets, and Chaos
Author: Anuj Singal Publisher: CRC Press ISBN: 1000645347 Category : Technology & Engineering Languages : en Pages : 343
Book Description
This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication. The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication. The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.
Author: Global Built Environment Network Publisher: Lulu.com ISBN: 1847283969 Category : Architecture Languages : en Pages : 238
Book Description
Proceedings of the GBEN 2006 Conference: Global Built Environment: Towards an Integrated Approach for Sustainability. Hosted by the Department of Built Environment, University of Central Lancashire, Preston, UK. Organised jointly by the University of Central Lancashire, Edgehill University and National University of Ireland, Cork. Conference dates: 11-12 September 2006.
Author: A.J. Tallón-Ballesteros Publisher: IOS Press ISBN: 1643682253 Category : Computers Languages : en Pages : 738
Book Description
It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.
Author: Alla G. Kravets Publisher: Springer Nature ISBN: 3030951162 Category : Technology & Engineering Languages : en Pages : 277
Book Description
This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.
Author: Thomas, J. Joshua Publisher: IGI Global ISBN: 1799811948 Category : Computers Languages : en Pages : 355
Book Description
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Author: Faisal Saeed Publisher: Springer Nature ISBN: 303070713X Category : Computers Languages : en Pages : 1262
Book Description
This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.
Author: Fengxiang Qiao
Author: Fengxiang Qiao
Author: Hojjat Adeli
Author: Valentina Emilia Balas
Author: Hojjat Adeli
Author: Anuj Singal
Author: Global Built Environment Network
Author: A.J. Tallón-Ballesteros
Author: Alla G. Kravets
Author: Thomas, J. Joshua
Author: Faisal Saeed