Suchergebnisse

Optimization Analysis of a Stand-Alone Hybrid Energy System for the Classroom at RLJIT-Doddaallapur, Southern part of India -- A Study of Internet of Things in Smart Grid and Smart Grid Security -- An Overview of Quantum Computing Approach in the Present-day Energy Systems -- Symbiotic Organisms Search Algorithm based Optimal Allocation and Sizing of Capacitor Bank in Radial Distribution Networks -- Optimization of the Mechanical Properties of Energy-Efficient Natural Fiber-Reinforced Polymeric Composites -- Extended State Observer based Controller Design Application in a 2-Link Robotic Manipulator -- Optimization of Energy and Exergy Analysis of 100W Solar Photovoltaic Module using ANN Method -- Obstructed Material Classification using mmWave Radar with Deep Neural Network for Industrial Applications -- Modeling and Simulation of Plain and Corrugated Shell and Tube Heat Exchanger -- Computational Fluid Dynamics Analysis of Wind Turbine Blades at Various Angles of Attack.

"The technology evolution in education can no longer be apprehended simply by looking at the use of computers and networks. Technology is not just a supplementary tool to the conventional method of education. Education has to undergo a complete transformation with technological innovations for sustainability of quality education as a system and not in silos. The sustainability in education also necessitates a more workable strategy to realize socially viable educational policies and practices which can emphasize more on personalized learning. Due to various factors like emerging technologies; changing needs of the learners; policy reforms for enhancing employability; and emphasis on uninterrupted education as in the case of current pandemic scenario of COVID 19, there is need to steer a major transition in education system. The education system has to be real and proficient for it to be instrumental to nurture the knowledge-society. The book on advances in technological innovations in higher education is organized, largely, on the diversity of higher education ecosystem that are supported by the technological innovations. Various viewpoints of authors give insights to the full potential of technology as well as its risks in interrelated areas of higher education to work towards sustainability of value-based quality education, globally"--

Front Cover -- An Industrial IoT Approach for Pharmaceutical Industry Growth -- Copyright Page -- Contents -- List of contributors -- About the editors -- Preface -- About the book -- 1 Medical big data mining and processing in e-health care -- 1.1 Introduction -- 1.1.1 Types of big data -- 1.1.1.1 Structured -- 1.1.1.2 Unstructured -- 1.1.1.3 Semistructured -- 1.1.2 Characteristics of big data -- 1.1.2.1 Variety -- 1.1.2.2 Velocity -- 1.1.2.3 Volume -- 1.1.3 Integration of big data with medical imaging -- 1.1.4 Advantages of health-care data management -- 1.1.5 Challenges of health-care data management -- 1.1.6 Health care as a big data database -- 1.1.7 Benefits of medical big data -- 1.2 Architecture of big data in health care -- 1.2.1 Batch processing layer -- 1.2.2 Data acquisition -- 1.2.3 Electronic health-care records -- 1.2.4 Biomedical images -- 1.2.5 Social network analysis -- 1.2.6 Sensing data -- 1.2.7 Cell phones -- 1.2.8 Semantic module -- 1.3 Preparation of data -- 1.3.1 Data filtering -- 1.3.2 Data cleaning -- 1.3.3 Noise treatment -- 1.4 Feature extraction and feature selection -- 1.5 Predictive model design -- 1.6 Data storage -- 1.7 Stream processing layer -- 1.7.1 Data synchronization -- 1.7.2 Adaptive learning -- 1.7.3 Adaptive preprocessor -- 1.7.4 Adaptive predictor -- 1.8 Query processor -- 1.9 Visualization layer -- 1.10 Use of big data in biomedical research -- 1.11 Companies using big data in health care -- 1.11.1 Dignity health: analytics helps prevent deadly infections -- 1.11.2 Express scripts: better decisions, healthier outcomes with big data -- 1.11.3 United health care: monitoring fraud and waste, improving clinical outcomes -- 1.12 Other opportunities for big data in health care -- 1.12.1 Episode analytics -- 1.13 Use of health care in big data analytics -- 1.14 Unique features of big data in health care.

Intro -- Contents -- A Treatise on Distributed Generation Control -- Abstract -- 1 Introduction -- 2 Distributed Generation Control -- 2.1 Basic Control Function -- 3 Recent Works on the Control Strategies -- 3.1 Mixed Integer Linear Programming(MILP) Model for Generator Start up Sequence (GSUS) Optimization -- 3.2 Distributed Joint Operation of Primary, Secondary, and Tertiary Controls -- 3.3 Role of DG in Distance Protection of a Radial Distribution Network Configuration -- 3.4 A Distributed Wind Energy Integration in Scheme Based on Electricity Market -- 4 Conclusion -- Acknowledgment -- References -- Approach for the Prevention of Audio Piracy -- Abstract -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Proposed Algorithm -- 5 Experimentations and Result Analysis -- 6 Future Work -- 7 Conclusion -- References -- Quality Assessment of Kaji Lemon (Citrus limon) Juice Under Ultrasound and Pasteurization Processing Conditions -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Plant Material -- 2.2 Chemicals -- 2.3 Ultrasound and Pasteurization Treatment -- 2.4 pH, °Brix and Titratable Acidity (TA) -- 2.5 Anti-oxidant Activity (DPPH Activity) -- 2.6 Total Phenols and Flavonoids (TPC and TFC) -- 2.7 Vitamin C Content -- 2.8 Non-enzymatic Browning and Cloud Values (NEB and CV) -- 2.9 Statistical Analysis -- 3 Results and Discussion -- 3.1 Effect of Thermosonication on pH, TA and TSS -- 3.2 Effect of Thermosonication on Anti-oxidant Activity (DPPH) -- 3.3 Effect of Thermosonication on TPC and TFC -- 3.4 Effect of Thermosonication on Vitamin C Levels -- 3.5 Effect of Thermosonication on Cloud Value and Non-enzymatic Browning -- 4 Conclusion -- Acknowledgments -- References -- Optimal Parameter Extraction of PEM Fuel Cell Using an Effective Approach -- 1 Introduction -- 2 Problem Formulation -- 3 Optimization Technique.

This book constitutes the proceedings of the First International Conference on Business Data Analytics (ICBDA 2022) held in Dehradun, India, in October 78, 2022. The purpose of conference is to bring the diverse community of data scientist, machine learning, analytics, and data specialist from all over the world to share their original piece research. The 6 full papers included in this proceedings were selected among 107 submissions in a single-blind review process. The theme of conference includes three sub categories: Predictive Modelling and Data Analytics, Decision Analytics and Support System and Business data Analytics.

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data for Smart Education -- 1.1 Introduction -- 1.1.1 Big Data (BD) -- 1.1.1.1 Big Data Analytics (BDA) -- 1.1.2 Big Data Architecture Aimed at Learning Analytics -- 1.1.3 Role of Big Data in Smart Education -- 1.2 Fruition of Smart Learning -- 1.2.1 Insight of Smart Learning -- 1.2.2 Smart Learning Environment -- 1.2.3 Denotation of Smart in Smart Learning -- 1.2.4 Smart Learner -- 1.3 Framework of Smart Education -- 1.3.1 Smart Pedagogy -- 1.3.2 Smart Learning Environments -- 1.3.3 Technical Architecture of a Smart Education Environment -- 1.3.4 3-Tier Architecture of Smart Computing -- 1.3.5 Key Function of Smart Computing -- 1.4 Big Data Subsequent Revolution in Education -- 1.4.1 Big Data is Making Education Smarter -- 1.5 Technique Educators Are Improving in Learning Process -- 1.5.1 Measure, Monitor, and Respond -- 1.5.2 Epitomize Learning Experience -- 1.5.3 Designing New Courses -- 1.6 Big Data Components in Smart Education -- 1.7 Big Data Tools in Smart Education -- 1.8 Big Data Applications for Smart Education -- 1.8.1 Higher Education Analysis -- 1.8.2 Student Engagement -- 1.8.3 Bookstore Effectiveness -- 1.9 How BD and Education Could Work Together to Benefit Student Success -- 1.9.1 Customized Curricula Aimed at Improved Learning Outcome -- 1.9.2 Big Data to Expand Student's Performance -- 1.9.3 New Paths of Learning Potentials -- 1.10 Big Data Analytics Consequensces in Advanced Education -- 1.11 Opportunities along with Challenges of Big Data in Smart Education -- 1.12 Conclusion: Challenge of Simplifying Smart Education -- References -- Chapter 2 Big Data Analytics Using R for Offline Voltage Prediction in an Electric Power System -- 2.1 Introduction.