Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advanced prognostic predictive modelling in healthcare data analytics / / Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal, editors
| Advanced prognostic predictive modelling in healthcare data analytics / / Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (317 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Artificial intelligence - Medical applications
Medical informatics Information visualization Pronòstic mèdic Simulació per ordinador Intel·ligència artificial en medicina Informàtica mèdica Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-0538-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483684603321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Processing Using Spark in Cloud [[electronic resource] /] / edited by Mamta Mittal, Valentina E. Balas, Lalit Mohan Goyal, Raghvendra Kumar
| Big Data Processing Using Spark in Cloud [[electronic resource] /] / edited by Mamta Mittal, Valentina E. Balas, Lalit Mohan Goyal, Raghvendra Kumar |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 264 p. 89 illus., 62 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Studies in Big Data |
| Soggetto topico |
Big data
Computer security Big Data Systems and Data Security Big Data/Analytics |
| ISBN | 981-13-0550-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Concepts of Big Data and Apache Spark -- Big Data Analysis in Cloud and Machine Learning -- Security Issues and Challenges related to Big Data -- Big Data Security Solutions in Cloud -- Data Science and Analytics -- Big Data Technologies -- Data Analysis with Casandra and Spark -- Spin up the Spark Cluster -- Learn Scala -- IO for Spark -- Processing with Spark -- Spark Data Frames and Spark SQL -- Machine Learning and Advanced Analytics -- Parallel Programming with Spark -- Distributed Graph Processing with Spark -- Real Time Processing with Spark -- Spark in Real World -- Case Studies. . |
| Record Nr. | UNINA-9910739483403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Energy Conservation for IoT Devices : Concepts, Paradigms and Solutions / / edited by Mamta Mittal, Sudeep Tanwar, Basant Agarwal, Lalit Mohan Goyal
| Energy Conservation for IoT Devices : Concepts, Paradigms and Solutions / / edited by Mamta Mittal, Sudeep Tanwar, Basant Agarwal, Lalit Mohan Goyal |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 356 p. 138 illus., 109 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Computational intelligence
Control engineering Robotics Mechatronics Application software Big data Computational Intelligence Control, Robotics, Mechatronics Information Systems Applications (incl. Internet) Big Data |
| ISBN | 981-13-7399-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | IoT Architecture for Preventive Energy Conservation of Smart Buildings -- Designing Energy Efficient IoT based Intelligent Transport System: Need, Architecture, Characteristics, Challenges and Applications -- Energy-Efficient System Design for Internet of Things (IoT) Devices -- Need and Design of Smart and Secure Energy Efficient IoT Based Healthcare Framework -- The Rudiments of Energy Conservation and IoT -- Capacity Estimation of Electric Vehicle Aggregator for Ancillary Services to the Grid -- Existing Enabling Technologies and Solutions for Energy Management in IoT -- Medical Information Processing Using Smartphone Under IoT Framework. |
| Record Nr. | UNINA-9910484111203321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Energy Conservation Solutions for Fog-Edge Computing Paradigms
| Energy Conservation Solutions for Fog-Edge Computing Paradigms |
| Autore | Tiwari Rajeev |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (314 pages) |
| Altri autori (Persone) |
MittalMamta
GoyalLalit Mohan |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-3448-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Energy-Aware Resource Scheduling in FoG Environment for IoT-Based Applications -- 1 Introduction -- 1.1 Why FoG Computing? -- 1.2 FoG Application Areas in Smart City -- 1.3 Motivation -- 1.4 Contributions -- 1.5 Organization of Work -- 2 Need of FoG Computing -- 2.1 QoS Parameters -- 3 Energy-Aware Survey in Green-IoT -- 4 Related Work -- 4.1 Resource Allocation and Provisioning in Cloud Computing -- 4.2 Resource Allocation and Provisioning in Fog Computing -- 5 Energy Resource Scheduling Algorithms and Intersection of Parameters in Smart City (Smart Homes) -- 6 Future Scope -- References -- DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments -- 1 Introduction -- 2 Motivation Scenario -- 2.1 Sensing Module -- 2.2 Data Aggregation Module -- 2.3 Data Analysis Module -- 2.4 Decision Making -- 2.5 Actuation Module -- 3 Related Work -- 3.1 Building and Deployed Fog-Based IoT Applications -- 3.2 Resource Allocation for IoT Applications in Fog Environment -- 3.3 Service Placement in Fog Environment -- 3.4 A Qualitative Comparison -- 4 System Model -- 4.1 Application Prioritizing Phase -- 4.2 Node Selection Phase -- 4.3 IoT Application Placement Flow in Fog Environment -- 5 Proposed Methodology -- 5.1 Overview of the Proposed Work -- 5.2 Functional Details of the Proposed Work -- 5.3 Deadline-oriented Service Placement Algorithm (DoSP) -- 6 Performance Evaluation -- 6.1 System Setup and Parameters -- 6.2 Experimental Results -- 7 Conclusion and Future Work -- References -- Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment -- 1 Introduction -- 2 Cloud, Edge and Fog Computing -- 3 Literature Review -- 4 Smart Flower Optimization Algorithm -- 5 Application of SFOA to Task Offloading Problem.
6 Simulations and Results -- 7 Conclusion -- References -- A Sustainable Energy Efficient IoT-Based Solution for Real-Time Traffic Assistance Using Fog Computing -- 1 Introduction -- 1.1 Vehicle Tracking System -- 1.2 Need of Vehicle Tracking -- 1.3 Problem Statement -- 2 Related Work -- 3 Background -- 3.1 IoT -- 3.2 Cloud Computing -- 3.3 Fog Computing -- 3.4 Cloud, Fog, and IoT -- 4 Proposed Architecture -- 4.1 Problem Formulation and Solution -- 5 Simulation and Results -- 6 Conclusion -- References -- Analysis on Application of Fog Computing in Industry 4.0 and Smart Cities -- 1 Introduction -- 2 Overview of Fog Computing -- 3 Overview of Industry 4.0 and Smart Cities -- 4 Related Studies -- 5 A Fog Computing Enabled Smart City -- 6 Facilitating Industry 4.0 Using Fog Computing Architecture -- 7 Three-Layered Fog-Based IoT Architecture for Industry 4.0 -- 8 Advantages of Using Fog Computing for Industry 4.0 and Smart Cities -- 9 Conclusion -- References -- Fog-Computing: A Novel Approach for Cloud-Based Devices Using Perceptual Cloning Manifestation-PerColNif Taxonomy by Energy Optimization -- 1 Introduction -- 1.1 Fog as Eminent Computing Paradigm -- 2 Related Works -- 2.1 Cloud Computing Era in Health Care Services -- 2.2 Cloud Computing for Vehicle Tracking-Accident Detection Systems -- 2.3 Fog Computing Versus Cloud Computing for Time-Sensitive Applications -- 2.4 Virtual Clusters-Fog Bridging Cloud with Edge Devices -- 3 Tri-Layered Proposed Architecture -- 4 Proposed Taxonomy-Fog-Computing-PerColNif-Taxonomy -- 4.1 Perceptual Cloudlet Cloning Manifestation Process [PerColNif] -- 4.2 PerColNif-Algorithm Implementation -- 4.3 Replacement Services-Node-Node Communication -- 5 Fog-Computing Implementation -- 5.1 Algorithm: ADT-Relax Mode-Quick Mode Sensor Node-Accident Detection Unit -- 5.2 Algorithm-Fog Node Execution. 6 Advantages of PerColNif Using Fog-Computation -- 7 Energy Efficiency Performance Analysis -- 8 Open Challenges on Future Fog-Era -- 9 Conclusion -- References -- Performance Evaluation and Energy Efficient VM Placement for Fog-Assisted IoT Environment -- 1 Introduction -- 1.1 Motivation -- 2 Related Work -- 3 System Model -- 4 Performance Measures -- 5 Profit and Revenue Analysis of the System -- 6 The Energy Model of the Fog System -- 6.1 VM Placement Problem Formulation -- 6.2 Greedy Heuristic Algorithm for Energy Saving -- 6.3 An Illustration -- 6.4 Simulation Results -- 7 Conclusion -- References -- Load Balancing in Fog Computing Using QoS -- 1 Introduction -- 1.1 Fog Computing Architecture Layers -- 1.2 Fog Computing Elementary Layers -- 1.3 Communication Workflow in Fog Environment -- 2 Related Work -- 2.1 Cyber Foraging -- 2.2 Cloudlet -- 3 Proposed Framework -- 3.1 Optimized Load Balancing Algorithm (OLBA) -- 3.2 Environmental Setup -- 4 Results and Discussions -- 4.1 Turn Around Time Performance Test -- 4.2 Fog Resources Resource Utilization -- 4.3 Average Response Time -- 4.4 Processing Delay -- 5 Conclusion and Future Scope -- References -- Fog Computing in Industry 4.0: Applications and Challenges-A Research Roadmap -- 1 Introduction -- 1.1 Fog Computing -- 1.2 Industry 4.0 -- 2 Fog Architecture for Industrial Processes -- 3 Fog Equipped Industrial IoT -- 3.1 Transportation -- 3.2 Smart Grids -- 3.3 Mining -- 3.4 Agriculture -- 3.5 Food Industry -- 3.6 Waste Management -- 3.7 Parking -- 4 Fog Computing in Industry 4.0 -- 4.1 Industrial Internet of Things -- 4.2 Big Data -- 4.3 Cloud Computing -- 4.4 Advancement in Robotics -- 4.5 Smart Manufacturing -- 4.6 Flexibility in Machines -- 4.7 Smart City Applications -- 4.8 Smart Factory Applications -- 4.9 Predictable Maintenance -- 4.10 Augmentative Reality -- 5 Research Challenges. 5.1 Heterogeneity -- 5.2 Security -- 5.3 Programmability -- 5.4 Interoperability -- 5.5 Energy Consumption -- 5.6 Quality of Service (QoS) -- 5.7 Cost -- 6 Conclusions -- References -- Fog Computing Based Architecture for Smart City Projects and Applications -- 1 Introduction -- 1.1 Fog Computing and IoT -- 1.2 Fog Computing Versus Cloud Computing -- 1.3 Contribution -- 2 Related Work -- 3 Smart City Projects in India -- 3.1 Industry 4.0 and Smart City Projects -- 4 Role of Fog Computing in Industry 4.0 for Smart City Projects -- 5 Fog Computing Use Cases for Smart City Projects -- 5.1 Smart Waste Management -- 5.2 IoT-Based Smart Waste Management Systems -- 5.3 Proposed Fog Computing Based Smart Waste Management Architecture -- 5.4 Execution Flow of Proposed Smart Waste Management Architecture -- 5.5 Smart Parking -- 5.6 IoT Based Smart Parking Architectures -- 5.7 Proposed Fog Computing Based Smart Parking Architecture -- 5.8 Execution Flow of Proposed Architecture -- 6 Conclusion -- 7 Future Work -- References -- Integration of Fog Computing and IoT-Based Energy Harvesting (EHIoT) Model for Wireless Sensor Network -- 1 Introduction -- 2 Background -- 2.1 Medical Sensors -- 2.2 IoT and Fog Computing in Smart Healthcare -- 2.3 Energy Consumption Models -- 3 Related Works -- 4 Proposed Design -- 4.1 Design of an IoT/Fog-Based WSN Model for Hospital Environment -- 4.2 Design of the Energy Consumption Model -- 4.3 Design of IoT-Based Energy Harvesting Model (EHIoT) -- 5 Conclusion -- References -- Design and Development of Efficient Secure Routing Mechanism for Wireless Sensor Network -- 1 Background -- 2 High-Level Techniques (HIT) -- 3 Problem Description -- 4 Study Objectives -- 5 Literature Review -- 5.1 Literature Survey Based on Hierarchical Routing Protocols -- 5.2 Existing Research Work on Delay Concept in Routing for WSN. 6 Energy-Efficient and Security-Aware Routing Protocols -- 6.1 FEESR Design Methodology -- 6.2 FEESR Algorithm Design and Implementation -- 6.3 Feesr Numerical Analysis and Outcome Comparison -- 6.4 Result Analysis -- 7 Conclusion -- 7.1 Scope and Limitations of the Study -- 7.2 Future Scope of Applicability -- References -- Futuristic Communication Systems Using Mobile Edge Computing -- 1 Introduction -- 2 Outline of MEC and 5G -- 2.1 Fundamentals of MEC -- 2.2 Integration of MEC with 5G Systems -- 3 Overview of MEC/5G Researches -- 3.1 Internet of Things (IoT) Leveraging MEC -- 3.2 MEC with NOMA -- 3.3 MEC with Heterogeneous CRAN -- 3.4 MEC with UAV Communications -- 3.5 MEC with WPT and EH -- 4 Conclusions -- References -- Methodology to Ensure the Continuity of the Information Systems Service, Based on the Monitoring of Electrical Energy, Using IoT Technology -- 1 Introduction -- 2 Materials and Methods -- 2.1 Literature Review -- 2.2 Analysis of IoT Devices -- 2.3 Choice of Devices to Implement the Methodology -- 2.4 Device Configuration -- 2.5 Performance Analysis -- 2.6 Interpretation of Results -- 3 Results -- 3.1 Server Unit -- 3.2 Power and Control Units -- 3.3 Monitoring Units -- 3.4 Communication Units -- 3.5 Cooling Unit -- 3.6 Acquisition Units -- 3.7 IoT Units -- 3.8 Display Unit -- 4 Conclusions -- References. |
| Record Nr. | UNINA-9910502640203321 |
Tiwari Rajeev
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Predictive analytics of psychological disorders in healthcare : data analytics on psychological disorders / / edited by Mamta Mittal and Lalit Mohan Goyal
| Predictive analytics of psychological disorders in healthcare : data analytics on psychological disorders / / edited by Mamta Mittal and Lalit Mohan Goyal |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (310 pages) |
| Disciplina | 616.891 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico | Medical protocols |
| ISBN | 981-19-1724-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910574060103321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sustainability measures for COVID-19 pandemic / / Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal, editors
| Sustainability measures for COVID-19 pandemic / / Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (278 pages) |
| Disciplina | 616.2414 |
| Soggetto topico |
COVID-19 Pandemic, 2020-
COVID-19 Pandemic, 2020- - Economic aspects Sustainability |
| ISBN | 981-16-3227-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Internet of Things and Web Services for Handling Pandemic Challenges -- 1 Introduction -- 1.1 IoT Process to Combat the Covid-19 Pandemic -- 2 IoT for Handling the Pandemic Challenges -- 2.1 Literature Survey -- 2.2 IoT in Personal Medical Devices -- 2.3 In Smart Home IoT -- 2.4 In IT Sector -- 2.5 Challenges of IoT in the Wake of COVID-19 -- 2.6 Uses of IoT for COVID-19 Pandemic -- 2.7 Practices Involved in IoT for Tracking COVID-19 Patients -- 2.8 Global Technological Advancements to Resolve COVID-19 Cases Rapidly -- 3 Web Services for Handling COVID-19 Pandemic Challenges -- 3.1 Accessing COVID-19 Data -- 3.2 Contact Tracing -- 3.3 Support Work from Home Activities -- 3.4 Overcome Challenges in Critical Sectors -- 3.5 Adoption of Microservices Technology -- 4 Conclusion -- References -- Corona Thwack: Socio-Economic Impact of Covid-19 Pandemic in India -- 1 Introduction -- 1.1 Coronavirus: A Bird's Eye View -- 1.2 Covid-19 Acquisition -- 1.3 Covid-19 Complications -- 1.4 Safety Measures -- 2 Pathogenic Diagnosis -- 3 Corona Cure -- 3.1 Treatment -- 3.2 Vaccine: The Ray of Hope -- 4 Covid-19 Pandemic in India -- 4.1 Cataclysm -- 4.2 History -- 4.3 Initiatives -- 4.4 Creating History -- 5 Socio-Economic Impact of Covid-19 in India -- 5.1 Social Impact -- 5.2 Economic Impact -- 6 Conclusion -- References -- Mathematical Modeling on Double Quarantine Process in the Spread and Stability of COVID-19 -- 1 Introduction -- 2 Mathematical Model -- 2.1 Model Analysis -- 2.2 Calculation of R0 2 from SIQ1 R Model -- 2.3 Stability Analysis for SIQ1 R Model -- 2.4 Calculation of Basic Reproduction Number from SQH IQ1 R Model -- 2.5 Stability Analysis for SQH IQ1 R Model -- 2.6 Analysis of Global Stability at Endemic Equilibrium -- 3 Discussion of the Result -- 4 Conclusion -- References.
A Study and Novel AI/ML-Based Framework to Detect COVID-19 Virus Using Smartphone Embedded Sensors -- 1 Introduction -- 2 Smart Phones to Detect COVID-19 -- 3 Combating Covid-19 with Artificial Intelligence/Machine Learning -- 4 Proposed Smartphone Based Framework -- 5 Conclusion -- References -- Transmission Modelling on COVID-19 Pandemic and Its Challenges -- 1 Introduction -- 1.1 Nomenclature -- 2 Model Formations and Basic Assumptions -- 2.1 Mathematical Model -- 2.2 Boundedness and Positivity of the Model -- 3 Stability Analysis and Calculation of the Basic Reproduction Number -- 3.1 Calculation of Basic Reproduction Number -- 3.2 Global Stability -- 4 Discussion of the Result -- 5 Conclusion -- References -- Effect of COVID-19 Pandemic on Mental Health: An Under-Realized Sociological Enigma -- 1 COVID-19 Pandemic Effect on Mental Health: Introduction -- 2 Common Psychological Problems Post COVID-19 -- 2.1 Among General Population -- 2.2 Among COVID-19 Patients -- 2.3 Among Close Relatives and Neighbors -- 2.4 Among Healthcare Workers -- 2.5 Among Geriatric Patients with Co-morbidities -- 3 Psychological Imbalance in Home Quarantine -- 3.1 Some Major Risk Factors of Stressor in Quarantine -- 3.2 How to Minimize the Consequence of Home Quarantine -- 4 Psychological Imbalance in Hospital Quarantine -- 4.1 Psychological Problem During Hospital Quarantine Can Be Categories into Two-Part [22] -- 4.2 Exacerbation of Preexisting Psychiatric Conditions -- 4.3 There is Three Risk Factor Related to Exacerbation of Preexisting Psychiatric Condition -- 4.4 How to Minimize the Negative Psychological Effect of Hospital Quarantine -- 5 Psychological Approach to Assess Mental Health Post COVID-19 -- 5.1 Relevance of Yoga on COVID-19 -- 5.2 Use of Digital Platforms -- 5.3 Shielding Measures in Psychiatric Hospitals. 5.4 Rehabilitation of Mental Health in Times of COVID-19 -- 5.5 Coping Mental Health Issues in the Wake of COVID-19 Pandemic -- 6 Steps to Mitigate Pandemic in Future -- 6.1 Awareness of Situation -- 6.2 Eliminating Sparks of Pandemic -- 6.3 Communication of Risk -- 6.4 Scaling up of Potentials -- 7 Conclusion -- References -- Predicting the COVID-19 Outspread in Andhra Pradesh Using Hybrid Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Detection -- 2.2 Deep Learning Techniques -- 3 Methodology -- 3.1 Deep Learning Classifiers -- 3.2 Data Pre-processing -- 3.3 Feature Selection -- 4 Performance Measures -- 4.1 Experiment Setup -- 4.2 Performance Metrics -- 4.3 Performance Results -- 5 Conclusion -- References -- Mental Health Decline During Corona Virus Outbreak -- 1 Introduction -- 1.1 Worldwide Impact -- 1.2 Effect in India -- 1.3 Mental Effects of the Pandemic/Lockdown -- 2 Investigation of Indian Population (Survey Findings) -- 2.1 Review Methodology and Demographics -- 2.2 Vulnerability of Duration -- 2.3 Dread of Contracting Covid-19 -- 2.4 Dread of Job Steadiness/Layoff -- 2.5 Impact of Covid-19 Related Stress on Lifestyle -- 2.6 Lockdown Fatigue -- 3 Effect of Prolonged Lockdown on Stress Levels -- 3.1 Fall in Work-Life Balance -- 3.2 Postponement of Exams -- 3.3 Pay Cut/Job Loss -- 3.4 Net Impact of Stress Through the Lockdown -- 3.5 Post Unlocks Fears -- 3.6 Net Impact on Emotions at the Beginning of Lockdown -- 3.7 City Wise Comparison -- 4 Net Change in Stress Levels in Top Cities, in Comparison to the Whole Country -- 4.1 Top 5 Coping Mechanisms to Deal with Stress During Lockdown -- 4.2 Meditations by Government and Other Organizations -- 4.3 Utilization Surge on Therapy Platforms-27 -- 5 Sample Case Studies -- 5.1 Case 1-Difficulty in Adjusting to Life at Home [21] -- 5.2 Case 2-Compulsive Cleaning. 5.3 Case 3-Irrational Fear -- 5.4 Case 4-Violent Behavior Toward Parents -- 5.5 Recommendations -- 5.6 Management Strategies -- 6 Conclusion -- References -- Social Challenges and Consequences of COVID-19 -- 1 Introduction -- 2 Total Lockdown -- 3 India's Overstretched Healthcare System -- 4 The Human Face of COVID-19 -- 5 Themes from the Story of the Patient -- 6 The Indigenous Communities -- 7 Developmental Sport and Stability -- 8 The Effect on the Economy -- 9 Challenges in Socio-Culture -- 10 Urban Migrant Workers Plight -- 11 Dissemination of Misinformation -- 12 The Way Forward -- 13 Social Unrest Management -- 14 Completion -- References -- Economic Impact and Measures of Corona Regime -- 1 Introduction -- 2 Beginning of Economic Slowdown -- 3 International Trade Plunged as the Virus Spread and Projections by Various Agencies -- 4 Growth in Trade of Medical Products -- 5 Impact on Major Economies During the Period -- 6 Turbulence in Global Financial Markets -- 7 Impact of COVID-19 on Indian Economy -- 8 Policy Responses Taken so Far -- 9 Some of the Immediate Measures Included -- 10 How the Story Looks Like Now? -- 11 Debt Sustainability Issues -- 12 Rising Unemployment -- 13 China Leading the New Growth Phases -- 14 Inequality of Income -- 15 Slowdown of Globalization -- 16 Conclusion -- References -- Modeling the Impact of Various Treatment and Prevention Tact's on COVID-19 Worldwide -- 1 Introduction -- 1.1 Bats-Hosts-Reservoir-People -- 1.2 SIR Model -- 1.3 SEIR Model -- 2 Formulation of Mathematical Model -- 3 Basic Reproduction Number -- 4 Summary and Conclusion -- References -- Understanding Emotional Health Sustainability Amidst COVID-19 Imposed Lockdown -- 1 Introduction -- 2 Related Works -- 3 Data and Methodology -- 3.1 Dataset -- 3.2 Two-Way Emotion Characterization -- 3.3 Internet Portal -- 4 Results and Discussion. 5 Reflections -- References -- Industry 4.0 Technologies and Their Applications in Fighting COVID-19 -- 1 Introduction -- 1.1 Industry 4.0 Overview -- 1.2 Industry 4.0 Technologies -- 2 COVID-19 Challenges -- 2.1 Review of Literature -- 2.2 COVID-19 Challenges in Lockdown Phase -- 2.3 After Lockdown: Unlock 5.0 -- 3 Industry 4.0 Applications in COVID-19 Challenges -- 3.1 Face Mask Detection System for COVID-19 -- 3.2 COVID-19 Self-test Software -- 3.3 Keep Track COVID-19 Positive Patient -- 3.4 Social Distancing Analysis System for COVID-19 -- 3.5 Care of Old Age -- 3.6 COVID-19 Data Analysis -- 4 Conclusion -- References -- Internet of Medical Things (IoMT) Enabled TeleCOVID System for Diagnosis of COVID-19 Patients -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Proposed Design -- 4 Results and Analysis -- 4.1 Results and Analysis of Activity Detection System -- 4.2 Results of the TeleCOVID Diagnostic System -- 5 Conclusion -- References. |
| Record Nr. | UNINA-9910508454203321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sustainability measures for COVID-19 pandemic / / Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal, editors
| Sustainability measures for COVID-19 pandemic / / Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (278 pages) |
| Disciplina | 616.2414 |
| Soggetto topico |
COVID-19 Pandemic, 2020-
COVID-19 Pandemic, 2020- - Economic aspects Sustainability |
| ISBN | 981-16-3227-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Internet of Things and Web Services for Handling Pandemic Challenges -- 1 Introduction -- 1.1 IoT Process to Combat the Covid-19 Pandemic -- 2 IoT for Handling the Pandemic Challenges -- 2.1 Literature Survey -- 2.2 IoT in Personal Medical Devices -- 2.3 In Smart Home IoT -- 2.4 In IT Sector -- 2.5 Challenges of IoT in the Wake of COVID-19 -- 2.6 Uses of IoT for COVID-19 Pandemic -- 2.7 Practices Involved in IoT for Tracking COVID-19 Patients -- 2.8 Global Technological Advancements to Resolve COVID-19 Cases Rapidly -- 3 Web Services for Handling COVID-19 Pandemic Challenges -- 3.1 Accessing COVID-19 Data -- 3.2 Contact Tracing -- 3.3 Support Work from Home Activities -- 3.4 Overcome Challenges in Critical Sectors -- 3.5 Adoption of Microservices Technology -- 4 Conclusion -- References -- Corona Thwack: Socio-Economic Impact of Covid-19 Pandemic in India -- 1 Introduction -- 1.1 Coronavirus: A Bird's Eye View -- 1.2 Covid-19 Acquisition -- 1.3 Covid-19 Complications -- 1.4 Safety Measures -- 2 Pathogenic Diagnosis -- 3 Corona Cure -- 3.1 Treatment -- 3.2 Vaccine: The Ray of Hope -- 4 Covid-19 Pandemic in India -- 4.1 Cataclysm -- 4.2 History -- 4.3 Initiatives -- 4.4 Creating History -- 5 Socio-Economic Impact of Covid-19 in India -- 5.1 Social Impact -- 5.2 Economic Impact -- 6 Conclusion -- References -- Mathematical Modeling on Double Quarantine Process in the Spread and Stability of COVID-19 -- 1 Introduction -- 2 Mathematical Model -- 2.1 Model Analysis -- 2.2 Calculation of R0 2 from SIQ1 R Model -- 2.3 Stability Analysis for SIQ1 R Model -- 2.4 Calculation of Basic Reproduction Number from SQH IQ1 R Model -- 2.5 Stability Analysis for SQH IQ1 R Model -- 2.6 Analysis of Global Stability at Endemic Equilibrium -- 3 Discussion of the Result -- 4 Conclusion -- References.
A Study and Novel AI/ML-Based Framework to Detect COVID-19 Virus Using Smartphone Embedded Sensors -- 1 Introduction -- 2 Smart Phones to Detect COVID-19 -- 3 Combating Covid-19 with Artificial Intelligence/Machine Learning -- 4 Proposed Smartphone Based Framework -- 5 Conclusion -- References -- Transmission Modelling on COVID-19 Pandemic and Its Challenges -- 1 Introduction -- 1.1 Nomenclature -- 2 Model Formations and Basic Assumptions -- 2.1 Mathematical Model -- 2.2 Boundedness and Positivity of the Model -- 3 Stability Analysis and Calculation of the Basic Reproduction Number -- 3.1 Calculation of Basic Reproduction Number -- 3.2 Global Stability -- 4 Discussion of the Result -- 5 Conclusion -- References -- Effect of COVID-19 Pandemic on Mental Health: An Under-Realized Sociological Enigma -- 1 COVID-19 Pandemic Effect on Mental Health: Introduction -- 2 Common Psychological Problems Post COVID-19 -- 2.1 Among General Population -- 2.2 Among COVID-19 Patients -- 2.3 Among Close Relatives and Neighbors -- 2.4 Among Healthcare Workers -- 2.5 Among Geriatric Patients with Co-morbidities -- 3 Psychological Imbalance in Home Quarantine -- 3.1 Some Major Risk Factors of Stressor in Quarantine -- 3.2 How to Minimize the Consequence of Home Quarantine -- 4 Psychological Imbalance in Hospital Quarantine -- 4.1 Psychological Problem During Hospital Quarantine Can Be Categories into Two-Part [22] -- 4.2 Exacerbation of Preexisting Psychiatric Conditions -- 4.3 There is Three Risk Factor Related to Exacerbation of Preexisting Psychiatric Condition -- 4.4 How to Minimize the Negative Psychological Effect of Hospital Quarantine -- 5 Psychological Approach to Assess Mental Health Post COVID-19 -- 5.1 Relevance of Yoga on COVID-19 -- 5.2 Use of Digital Platforms -- 5.3 Shielding Measures in Psychiatric Hospitals. 5.4 Rehabilitation of Mental Health in Times of COVID-19 -- 5.5 Coping Mental Health Issues in the Wake of COVID-19 Pandemic -- 6 Steps to Mitigate Pandemic in Future -- 6.1 Awareness of Situation -- 6.2 Eliminating Sparks of Pandemic -- 6.3 Communication of Risk -- 6.4 Scaling up of Potentials -- 7 Conclusion -- References -- Predicting the COVID-19 Outspread in Andhra Pradesh Using Hybrid Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Detection -- 2.2 Deep Learning Techniques -- 3 Methodology -- 3.1 Deep Learning Classifiers -- 3.2 Data Pre-processing -- 3.3 Feature Selection -- 4 Performance Measures -- 4.1 Experiment Setup -- 4.2 Performance Metrics -- 4.3 Performance Results -- 5 Conclusion -- References -- Mental Health Decline During Corona Virus Outbreak -- 1 Introduction -- 1.1 Worldwide Impact -- 1.2 Effect in India -- 1.3 Mental Effects of the Pandemic/Lockdown -- 2 Investigation of Indian Population (Survey Findings) -- 2.1 Review Methodology and Demographics -- 2.2 Vulnerability of Duration -- 2.3 Dread of Contracting Covid-19 -- 2.4 Dread of Job Steadiness/Layoff -- 2.5 Impact of Covid-19 Related Stress on Lifestyle -- 2.6 Lockdown Fatigue -- 3 Effect of Prolonged Lockdown on Stress Levels -- 3.1 Fall in Work-Life Balance -- 3.2 Postponement of Exams -- 3.3 Pay Cut/Job Loss -- 3.4 Net Impact of Stress Through the Lockdown -- 3.5 Post Unlocks Fears -- 3.6 Net Impact on Emotions at the Beginning of Lockdown -- 3.7 City Wise Comparison -- 4 Net Change in Stress Levels in Top Cities, in Comparison to the Whole Country -- 4.1 Top 5 Coping Mechanisms to Deal with Stress During Lockdown -- 4.2 Meditations by Government and Other Organizations -- 4.3 Utilization Surge on Therapy Platforms-27 -- 5 Sample Case Studies -- 5.1 Case 1-Difficulty in Adjusting to Life at Home [21] -- 5.2 Case 2-Compulsive Cleaning. 5.3 Case 3-Irrational Fear -- 5.4 Case 4-Violent Behavior Toward Parents -- 5.5 Recommendations -- 5.6 Management Strategies -- 6 Conclusion -- References -- Social Challenges and Consequences of COVID-19 -- 1 Introduction -- 2 Total Lockdown -- 3 India's Overstretched Healthcare System -- 4 The Human Face of COVID-19 -- 5 Themes from the Story of the Patient -- 6 The Indigenous Communities -- 7 Developmental Sport and Stability -- 8 The Effect on the Economy -- 9 Challenges in Socio-Culture -- 10 Urban Migrant Workers Plight -- 11 Dissemination of Misinformation -- 12 The Way Forward -- 13 Social Unrest Management -- 14 Completion -- References -- Economic Impact and Measures of Corona Regime -- 1 Introduction -- 2 Beginning of Economic Slowdown -- 3 International Trade Plunged as the Virus Spread and Projections by Various Agencies -- 4 Growth in Trade of Medical Products -- 5 Impact on Major Economies During the Period -- 6 Turbulence in Global Financial Markets -- 7 Impact of COVID-19 on Indian Economy -- 8 Policy Responses Taken so Far -- 9 Some of the Immediate Measures Included -- 10 How the Story Looks Like Now? -- 11 Debt Sustainability Issues -- 12 Rising Unemployment -- 13 China Leading the New Growth Phases -- 14 Inequality of Income -- 15 Slowdown of Globalization -- 16 Conclusion -- References -- Modeling the Impact of Various Treatment and Prevention Tact's on COVID-19 Worldwide -- 1 Introduction -- 1.1 Bats-Hosts-Reservoir-People -- 1.2 SIR Model -- 1.3 SEIR Model -- 2 Formulation of Mathematical Model -- 3 Basic Reproduction Number -- 4 Summary and Conclusion -- References -- Understanding Emotional Health Sustainability Amidst COVID-19 Imposed Lockdown -- 1 Introduction -- 2 Related Works -- 3 Data and Methodology -- 3.1 Dataset -- 3.2 Two-Way Emotion Characterization -- 3.3 Internet Portal -- 4 Results and Discussion. 5 Reflections -- References -- Industry 4.0 Technologies and Their Applications in Fighting COVID-19 -- 1 Introduction -- 1.1 Industry 4.0 Overview -- 1.2 Industry 4.0 Technologies -- 2 COVID-19 Challenges -- 2.1 Review of Literature -- 2.2 COVID-19 Challenges in Lockdown Phase -- 2.3 After Lockdown: Unlock 5.0 -- 3 Industry 4.0 Applications in COVID-19 Challenges -- 3.1 Face Mask Detection System for COVID-19 -- 3.2 COVID-19 Self-test Software -- 3.3 Keep Track COVID-19 Positive Patient -- 3.4 Social Distancing Analysis System for COVID-19 -- 3.5 Care of Old Age -- 3.6 COVID-19 Data Analysis -- 4 Conclusion -- References -- Internet of Medical Things (IoMT) Enabled TeleCOVID System for Diagnosis of COVID-19 Patients -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Proposed Design -- 4 Results and Analysis -- 4.1 Results and Analysis of Activity Detection System -- 4.2 Results of the TeleCOVID Diagnostic System -- 5 Conclusion -- References. |
| Record Nr. | UNISA-996464449103316 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||