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ویرایش: نویسندگان: Abhishek Singh Rathore, Surendra Rahamatkar, Syed Imran Ali, Ramgopal Kashyap, Nand Kishore Sharma سری: IoT and Big Data Analytics ISBN (شابک) : 9815123718, 9789815123715 ناشر: Bentham Science Publishers سال نشر: 2023 تعداد صفحات: 148 [150] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 27 Mb
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Video data analytics is rapidly evolving and transforming the way we live in urban environments. Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications.
Cover Title Copyright End User License Agreement Contents Foreword Preface List of Contributors Comprehensive Analysis of Video Surveillance System and Applications Nand Kishore Sharma1,*, Surendra Rahamatkar1 and Abhishek Singh Rathore2 INTRODUCTION LITERATURE REVIEW OPEN CHALLENGES & ISSUES DISCUSSION, TRENDS, AND FUTURE WORK CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Compressed Video-Based Classification for Efficient Video Analytics Sangeeta1,*, Preeti Gulia1 and Nasib Singh Gill1 INTRODUCTION RELATED WORK PROPOSED MODEL COMPRESSION NETWORK CLASSIFICATION NETWORK EXPERIMENTS Experimental Setup Dataset Implementation Details Loss Function Evaluation EXPERIMENTAL RESULTS AND DISCUSSION Experimental Results and Analysis of Compression Network Experimental Results and Analysis of Classification Network CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Object Detection and Tracking: Exploring a Deep Learning Approach and Other Techniques Samuel Oluyemi Owoeye1,*, Folasade Durodola1 and Jethro Odeyemi1 INTRODUCTION OBJECT DETECTION AND TRACKING WITH CONVOLUTIONAL NEURAL NETWORK (CNN) AND IMAGE PROCESSING EXAMPLE OF CNN MODEL ARCHITECTURES FOR OBJECT DETECTION R-CNN Limitations of R-CNN Fast R-CNN Advantages of Fast R-CNN Faster R-CNN Mask R-CNN R-FCN Single Shot Detector (SSD) Advantages of SSD You Only Look Once (YOLO) DEVELOPMENT OF THE NEURAL NETWORK ARCHITECTURE Hyperparameter Values For Each Model Layer First Convolutional Layer Second, Third, Fourth, and Fifth Convolutional Layers OBJECT DETECTION WITH HAAR CASCADE CLASSIFIER Haar Features Calculation Integral Images Adaboost Training Haar Cascade Classifier Experiments for Face and Eyes Detection CANNY EDGE DETECTION Noise Reduction Gradient Calculation Non-Maximum Suppression Double Threshold Edge Tracking by Hysteresis BACKGROUND REMOVAL Background Generation Background Modeling Background Model Update Foreground Detection MOTION DETECTION USING KNN BACKGROUND SUBTRACTION CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Introduction and Overview of Key Enabling Technologies for Smart Cities and Homes Karthika Dhanasekar1,* and Deepika Muni Krishna Reddy2 INTRODUCTION TRENDS IN SMART CITIES AND HOMES Smart cities Smart Mobility and Smart Traffic Management Smart Environment Smart Living Smart Economy Smart Governance Smart People Smart Homes Programmable and Zone-based Smart Thermostat Wireless Power Automatic Door Locks Advanced Security System CHALLENGES IN SMART CITIES AND HOMES Security IoT Challenges Fragmentation of Standards Processing big data Scalability SURVEY OF MAJOR KEY ENABLING TECHNOLOGIES FOR SMART CITIES AND HOMES Internet of Things Smart Dust Smartphones Cloud Computing Smart Grid SMART CITY DATA PLANE CHALLENGES Compatibility Between Smart City Devices Simplicity Mobility and Geographic Control SOFTWARE-DEFINED NETWORK-BASED SMART CITY NETWORK MANAGEMENT Communications in Smart Grids Purpose of the Smart Grid THE DIFFERENT SEGMENTS OF THE SMART GRID CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Intelligent Processing: Scope and Application of Smart Agriculture in Smart City Geetanjli Khambra1,2,*, Sini Shibu1, Archana Naik1 and Dileep Singh2 INTRODUCTION INTERNET OF THINGS (IOT) INTELLIGENT PROCESSING Intelligent Processing in Agriculture INTELLIGENT PROCESSING MODEL App Development App Modules Integration with sensors Soil Moisture Sensor Humidity and Temperature Sensor Wind velocity Sensor ADVANTAGES OF THE MODEL CONCLUSION CONSENT OF PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Challenges and Security in Terahertz Band for Wireless Communication Kannadhasan Suriyan1,* and Nagarajan Ramalingam2 INTRODUCTION CHALLENGES IN TERAHERTZ BAND TERAHERTZ RADIATION SOURCES TERAHERTZ COMMUNICATION SYSTEMS CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Empirical Impact of AI and IoT on Performance Management: A Review Shahnawaz Ahmad1,*, Shabana Mehfuz2 and Javed Beg2 INTRODUCTION Contribution of this Study LITERATURE REVIEW Industry 4.0 Revolution Through AI and IoT AI Intersects with IoT Future Potential Growth of Performance Management Through AI and IoT Theoretical Underpinning RESEARCH METHODS RESULT AND DISCUSSION Systematic Review Thematic Review DISCUSSION CONCLUSION AND FUTURE SCOPE CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES A Review of Progress Status in Achieving the Jal Jeevan Mission Goals in the State of Chhattisgarh Surendra Rahamatkar1,*, Sweta Patnaik2 and Satyendra Patnaik3 INTRODUCTION BACKGROUND OF DRINKING WATER POLICIES THROUGHOUT HISTORY JAL JEEVAN MISSION POLICY GUIDELINES AT CENTRE DECENTRALISED MANAGEMENT OF WATER IN CHHATTISGARH OBJECTIVES OF THE STUDY RESEARCH METHODOLOGY RESULTS AND DISCUSSION Capacity Monitoring of the Project Functional Household Tap Connections (FHTC) Surveillance and Monitoring of Water Quality Institutional Mechanism NATIONAL LEVEL - NATIONAL JAL JEEVAN MISSION (NJJM) State Level - State Water and Sanitation Mission (SWSM) District Level - District Water and Sanitation Mission (DWSM) Village Level - Gram Panchayat/Village Water & Sanitation Committee/ Pani Samiti CONCLUSION AUTHOR'S CONTRIBUTION FUNDING INSTITUTIONAL REVIEW BOARD STATEMENT DATA AVAILABILITY STATEMENT CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Subject Index Back Cover