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ویرایش: نویسندگان: Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik سری: Studies in Big Data, 93 ISBN (شابک) : 9811638276, 9789811638275 ناشر: Springer سال نشر: 2021 تعداد صفحات: 242 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 6 Mb
در صورت تبدیل فایل کتاب Multimedia Technologies in the Internet of Things Environment, Volume 2 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 فن آوری های چند رسانه ای در محیط اینترنت اشیا، جلد 2 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 مروری جامع از کار تحقیقاتی پیشرفته در مورد تجزیه و تحلیل چند رسانه ای در برنامه های کاربردی اینترنت اشیا را پیشنهاد می کند. این جلد دوم توسط ویراستاران است که رویکردی نظری و عملی را در زمینه کاربردهای چند رسانه ای و IOT و تجزیه و تحلیل عملکرد ارائه می دهد. علاوه بر این، ارتباطات چند رسانه ای، مدل های یادگیری عمیق به داده های چند رسانه ای، و رویکردهای جدید (IOT) نیز پوشش داده شده است. این چارچوب عملکردی کامل در حوزه داده های چند رسانه ای، اینترنت اشیا و تکنیک های محاسبات هوشمند را مورد توجه قرار می دهد. این پل شکاف بین مفاهیم و راه حل های چند رسانه ای را با ارائه چارچوب های IOT فعلی، کاربردهای آنها در تجزیه و تحلیل چند رسانه ای، نقاط قوت و محدودیت های روش های موجود، و جهت گیری های آینده در تجزیه و تحلیل IOT چند رسانه ای ایجاد می کند.
This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.
Preface Contents Editors and Contributors An Overview of Multimedia Technologies in Current Era of Internet of Things (IoT) 1 Introduction 2 Multimedia Security Systems 2.1 Watermarking Development 2.2 Scanning the Issue 3 CCTV Surveillance 3.1 Usage of CCTV Surveillance 4 Emotion-Aware Multimedia System Security 4.1 Security Issues in Emotion-Aware Robot 5 Security Mechanisms 5.1 Digital Watermarking 5.2 Cryptography 6 Challenges 6.1 Overview of Watermark Attacks 7 Various Approaches 7.1 Spread-Spectrum Watermarking 7.2 Non-repudiation Oblivious Watermarking 7.3 Distribution Model with Secure Copy Monitoring 7.4 Non-repudiation Watermark Schema for Distribution 7.5 Video Sensor in Tracking Multimedia Data in Wireless Multimedia Sensor Networks (WMSNs) 8 Conclusion References A Deeper Look into Wind-Powered IoT Based Sustainable Organic Compost Machine 1 Introduction 2 Objectives 3 Wind Power in India 3.1 Geographical Location 3.2 Distribution of Wind Power Production in India 4 Methods 4.1 Indoor Composting 4.2 Windrow Composting 4.3 Vermi Composting 5 Recent Developments in Compost Making 6 Support from Government 7 Recent Policy Development 8 Benefits to Indian Agriculture with the Adoption of Wind-Powered IoT-Based Sustainable Organic Compost Machine 8.1 Increase in Agricultural Productivity 8.2 Increase in Farm Income 8.3 Reduction in Carbon Emission 8.4 Cost-Efficient and Technologically Integrated Organic Compost Machine 9 Marketing Strategy References An Intelligent Music Recommendation Framework for Multimedia Big Data: A Journey of Entertainment Industry 1 Introduction 2 Related Works 3 Structure of Big Data 3.1 Characteristic of Big Data 4 Multimedia Applications: A Big Data Perspective 4.1 Big Data in Entertainment Industry 4.2 Big Data in Tourism 5 Futures of Multimedia 5.1 Impact of Digital Media on Entertainment Industry 5.2 IoT-Enhanced Digital Media 5.3 Issues and Challenges of Multimedia for Data Handling 6 Proposed Model 6.1 Hybrid Intelligent Model 7 Mathematical Treatment 7.1 Proposed Hybrid Recommendation 7.2 Prepare a Dataset 8 Results and Simulations 8.1 Evaluation Metrics 8.2 Analytical Comparison 9 Conclusion References A Survey on Multimedia Technology and Internet of Things 1 Introduction 1.1 Definition of Internet of Things 1.2 Current Focus Areas 1.3 Motivation 2 Fundamental Qualities of IoT 3 Basic Elements of Internet of Things 4 Literature Review 5 Research Area 6 Architecture of IoT 6.1 General Architecture 6.2 Three-Layer Architecture 7 Model of Smart City 8 Smart Parking 9 Smart Transport Schemes 10 Safe City 11 Water System for Public Places 12 Smart Household Appliances 13 Smoke Observing 14 Shrewd Jewelry 15 Smart Shopping 16 Remote Switch Appliances 17 Weather Monitoring Stations 18 Smart Apartments 19 Water Presence 20 Smart Thermostat 21 Keen Fire Alarm 22 Summary and Conclusion References The Latest Emerging Technologies in Big Data 1 Introduction 2 Construction of an Environmentally Compatible Smart Transportation Systems with Low Carbon Emission Based on Big Data 3 Combining Data Mining with Multi-criteria Decisional Process Analysis to Improve Traffic Safety 4 Designing an Intelligent Video Processing Scheme for Transportation in a Big Data Environmental Setting 5 Using Big Data Commixture Powered by Cloud in Green Transport: An Implementation of Healthcare Application 6 Fog Based Intelligent Transportation Big Data Analytics Environment 7 Data Analysis of Social Media for Smart Transport Systems 8 Impact of a Public Transit Fare Discount Strategy Policy on the Public Transit Shared Fares on the Basis of Big Data Analysis 9 Layered Data Approach for Transport Logistics 10 Classifying and Transporting Big Data in Railway Networks 11 Intelligent Transportation System Traffic Prediction with Machine Learning References Realtime Accident Detection and Alarm Generation System Over IoT 1 Introduction 2 Different Conditions for Road Accidents 2.1 Pedestrians 2.2 Pedal Cyclists 2.3 Motorcyclists 2.4 Drivers Speed and Environmental Factors 2.5 Vehicle Collision with Animals 2.6 Mass Casualty Incident 3 Stages of Accident Detection 3.1 Pre-Collision 3.2 Collision 3.3 Post-Collision 4 Approaches for Accident Detection 4.1 Analysis of Traffic Flow Pattern 4.2 Analysis of Vehicle Activities 4.3 Modeling of Vehicle Interactions 5 Approaches for Accident Detection 6 Application of Deep Image Processing on Accident Detection 7 Proposed Methodology 7.1 Trajectory Intersection Identification 7.2 Deep Training 7.3 Collision Identification from Sensors 7.4 Collision Probability Generation 7.5 Accident Preventive Measures 7.6 Controlling Server 8 Conclusion References Smart Automobile Health Monitoring System 1 Introduction 2 Health Monitoring of Automobiles 2.1 Application of AI in Mechanical Engineering 3 Application of Machine Learning for Health Monitoring 4 Impact of IoT in Automobile Health Monitoring 5 Proposed Methodology 5.1 Automobile Health Monitoring 5.2 Monitoring 5.3 Data Collection 5.4 Data Analysis and Comparison by Machine Learning (ML) 5.5 Prediction of Damage or Upcoming Faults by Artificial Intelligence 6 Discussion 6.1 Fuel Efficiency Monitoring 6.2 Suspension Adjustment Monitoring 6.3 Air Inflation Monitoring 7 Conclusion References Fault Detection and Data Management for IIoT 1 Introduction 2 Sensor Faults 3 Network Management 4 SELF-TEL Architecture 4.1 Data Communication Phase 4.2 Computation Phase 4.3 Learning and Decision Phase 4.4 TEL-Threshold Based Extreme Learning Machines 5 Delay Aware Concurrent Data Management 5.1 DCDM Operation 5.2 Edge Requests Processing 5.3 Data Allocation 6 Result and Discussion 7 Conclusion References Theoretical and Instructional Aspects of Using Multimedia Resources in Language Education: A Cognitive View 1 Introduction 2 Brain and Cognition 2.1 Basic Cognitive Processes 2.2 Cognitive Load 2.3 Dual Coding 3 Multimedia from the Cognitive View 3.1 Multiple Literacies 3.2 Visual Communication 3.3 Multimedia and Visualizations 3.4 Visualizers Versus Verbalizers 4 Towards a Multimedia Learning Culture 4.1 Satisfying Different Learning Styles 4.2 Learning Through Visualizations 4.3 Assessing Multimedia Literacy 4.4 Instructional Design Principles 5 Conclusion References Data Mining Techniques for Producing Clustering in Big Data with MapReduce Function 1 Introduction 2 MapReduce in Hadoop 3 Types of Clustering Algorithm 4 Result and Discussion 5 Conclusion References Machine Learning Techniques for Biometric Fingerprint Recognition Using the Magnitudes to Provide Privacy and Integrity 1 Introduction 2 Related Work 3 Proposed Work 4 Methodology 4.1 Identification and Verification Systems 4.2 Verification 4.3 Identification 4.4 Feature Varieties 4.5 Image Process and Verification 4.6 Image Specifications 4.7 Image Sweetening 4.8 Description of Algorithm 5 Results 5.1 Selected Image 5.2 Orientation Field 6 Conclusion References Study and Develop an Effective Interfaces to Upload Data into Enterprise Resource Planning System 1 Introduction 2 Data Migration 3 Related Works 4 Proposed Work (Target-Based Data Migration) 5 Experimental Results 6 Discussion 7 Conclusion References