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Advances in cognitive science and communications : selected articles from the 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), Hyderabad, India / / Amit Kumar, Stefan Mozar, Jan Haase, editors
| Advances in cognitive science and communications : selected articles from the 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), Hyderabad, India / / Amit Kumar, Stefan Mozar, Jan Haase, editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (1175 pages) |
| Disciplina | 302.2 |
| Collana | Cognitive science and technology |
| Soggetto topico |
Communication and technology
Engineering Telecommunication |
| ISBN | 981-19-8086-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Methodology for selecting smart contract in blockchain based applications -- Deep Learning Neural Networks for detection of Onset Leukemia from Microscopic images -- Design of 4x4 Butler Matrix for 5G High Band of 26GHz -- Pedestrian and Vehicle Detection for Visually Impaired People -- Measuring effectiveness of CSR activities to reinforce brand equity by using graph-based analytics -- Design and Implementation of Built in Self-Test (BISTt) Master Slave Communication Using I2C Protocol -- Implementation of Finite Element Method in OPERA Software for Design and Analysis of High Voltage Busbar Supports -- InterCloud: Utility-Oriented Federation of Cloud Computing Environments through Different Application Services -- Cross-Cultural Translation Studies in the Context of Artificial Intelligence: Challenges and Strategies -- Design of Low Power OTA for Bio-Medical Applications. |
| Record Nr. | UNINA-9910734095903321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in cognitive science and communications : selected articles from the 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), Hyderabad, India / / Amit Kumar, Stefan Mozar, Jan Haase, editors
| Advances in cognitive science and communications : selected articles from the 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), Hyderabad, India / / Amit Kumar, Stefan Mozar, Jan Haase, editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (1175 pages) |
| Disciplina | 302.2 |
| Collana | Cognitive science and technology |
| Soggetto topico |
Communication and technology
Engineering Telecommunication |
| ISBN | 981-19-8086-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Methodology for selecting smart contract in blockchain based applications -- Deep Learning Neural Networks for detection of Onset Leukemia from Microscopic images -- Design of 4x4 Butler Matrix for 5G High Band of 26GHz -- Pedestrian and Vehicle Detection for Visually Impaired People -- Measuring effectiveness of CSR activities to reinforce brand equity by using graph-based analytics -- Design and Implementation of Built in Self-Test (BISTt) Master Slave Communication Using I2C Protocol -- Implementation of Finite Element Method in OPERA Software for Design and Analysis of High Voltage Busbar Supports -- InterCloud: Utility-Oriented Federation of Cloud Computing Environments through Different Application Services -- Cross-Cultural Translation Studies in the Context of Artificial Intelligence: Challenges and Strategies -- Design of Low Power OTA for Bio-Medical Applications. |
| Record Nr. | UNISA-996547956003316 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies / / edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar, Xiao-Zhi Gao, Suresh Merugu
| Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies / / edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar, Xiao-Zhi Gao, Suresh Merugu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (593 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Artificial intelligence Electrical engineering Computer engineering Internet of things Embedded computer systems Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Communications Engineering, Networks Cyber-physical systems, IoT Signal, Image and Speech Processing |
| ISBN | 981-15-3125-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Neural Network and Partial Pattern Recognition to Detect Malware -- Epidemiology and Forecasting of Cholera Incidence in North India -- "A NOVEL APPORACH FOR IMPROVING ROUTING EFFIECIECY AND MININZING PROPOGATION MEAN DELAY FOR DADCQ PROTOCOL IN VANET" -- HUMAN COMPUTER INTERACTION AS A MODE OF IMPROVEMENT IN HUMAN LIFESTYLE -- New fast and efficient Techniques for Image Denoising using VQ, PCA, SVD, Soft Thresholding and Wiener Filter -- Elicitation and Analysis of Security Requirements and Patterns for IoT Based Health Monitor -- Classification of Remote Sensing Images Based on K-Means Clustering and Artificial Bee Colony Optimization -- Internet of Things and its Applications :An Overview -- Smart KYC using Blockchain and IPFS -- Lexical analysis and Mathematical modelling for analysing Depression detection of social media reviews. |
| Record Nr. | UNINA-9910484729703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Sustainable Polymers : Synthesis, Fabrication and Characterization / / edited by Vimal Katiyar, Amit Kumar, Neha Mulchandani
| Advances in Sustainable Polymers : Synthesis, Fabrication and Characterization / / edited by Vimal Katiyar, Amit Kumar, Neha Mulchandani |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXIX, 404 p. 165 illus., 110 illus. in color.) |
| Disciplina | 668.9 |
| Collana | Materials Horizons: From Nature to Nanomaterials |
| Soggetto topico |
Materials science
Polymers Engineering—Materials Green chemistry Characterization and Evaluation of Materials Polymer Sciences Materials Engineering Green Chemistry |
| ISBN | 981-15-1251-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Synthesis of Biobased Polymers: From Aliphatics to Aromatics -- Chapter 2: An Environmental Perspective towards Designing of Sustainable Polymers -- Chapter 3: Biobased Anisotropic Designer Particles -- Chapter 4: Alternating Copolymers based on Amino Acids and Peptides -- Chapter 5: Biodegradable Nanocomposite Foam: Processing, Structure and Properties -- Chapter 6: Synthesis and Characterization of Functional Polylactides -- Chapter 7: Synthesis of Biocompatible Thermo-Responsive Polymers -- Chapter 8: Functionalization of Cellulose and its Derivatives: Processing and Characterization -- Chapter 9: DSC and WAXS Studies on the Effects of Silk Nanocrystals on Crystallization of Poly (L-Lactic Acid) -- Chapter 10: Polyhydroxyalkanoates: Origin, Sustainability and Applications -- Chapter 11: Biodegradable Copolyester based Natural Fibers-Polymer Composites -- Chapter 12: Degradation and Assimilation of Petrochemical based Polymers -- Chapter 13: Design of Sustainable Packaging-A greener approach -- Chapter 14: Sustainable Polymers: Extraction, Synthesis and Assessment -- Chapter 15: Sustainable Polymers Based On Aliphatic Polyester Platform: A Critical Assessment -- Chapter 16: Life Cycle Assessment of Chitosan -- Chapter 17: Synthesis Strategies of Biomedical Grade Plastics -- Chapter 18: Polymers from Carbon dioxide - A Route Towards a Sustainable Future. |
| Record Nr. | UNINA-9910410036503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems / / by Akansha Mishra, Amit Kumar
| Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems / / by Akansha Mishra, Amit Kumar |
| Autore | Mishra Akansha |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (276 pages) |
| Disciplina | 388.310285 |
| Collana | Studies in Fuzziness and Soft Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Transportation engineering Traffic engineering Operator theory Computational Intelligence Artificial Intelligence Transportation Technology and Traffic Engineering Operator Theory |
| ISBN | 981-15-6998-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Appropriate Weighted Averaging Aggregation Operator Under Some Extensions of the Fuzzy Environment -- Chapter 2. Mehar Method to Find a Unique Fuzzy Optimal Value of Balanced Fully Triangular Fuzzy Transportation Problems -- Chapter 3. Vaishnavi Approach for Solving Triangular Intuitionistic Transportation Problems of Type-2 -- Chapter 4. JMD Approach for Solving Unbalanced Fully Trapezoidal Intuitionistic Fuzzy Transportation Problems -- Chapter 5. JMD Approach for Solving Unbalanced Fully Generalized Trapezoidal Intuitionistic Fuzzy Transportation Problems. |
| Record Nr. | UNINA-9910484741003321 |
Mishra Akansha
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022
| Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022 |
| Autore | Gunjan Vinit Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (686 pages) |
| Altri autori (Persone) |
KumarAmit
ZuradaJacek M SinghSri Niwas |
| Collana | Lecture Notes in Electrical Engineering Series |
| ISBN | 981-9979-54-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- About the Editors -- A Deep Learning Method for Autism Spectrum Disorder -- 1 Introduction -- 2 Transfer Learning -- 3 Experiments -- 3.1 Data Set -- 3.2 VGG-16 -- 4 Results and Discussion -- 5 Conclusion -- References -- Cyber-Attacks and Anomaly Detection in Networking Based on Deep Learning-A Survey -- 1 Introduction -- 2 Taxonomy on Anomaly Detection of Cyberattacks in Networking -- 2.1 Machine Learning -- 2.2 Supervised Learning -- 2.3 Unsupervised Learning -- 2.4 Semi-supervised Learning -- 3 Literature -- 4 Comparative Analysis -- 5 Problem Statement -- 6 Conclusion -- References -- AI-Enabled Analysis of Climate Change on Agriculture and Yield Prediction for Coastal Area -- 1 Introduction -- 2 Literature Survey -- 3 Implementation -- 3.1 LSTM Model -- 3.2 Random Forest Model -- 3.3 Predicted Temperature and Actual Temperature -- 3.4 Shows the Baseline Predicted Example -- 3.5 Shows the Prediction Weather -- 3.6 Shows the Alternate Crop -- 4 Result Analysis -- 5 Conclusion and Future Scope -- References -- Deep Learning Methods for Predicting Severity for Diabetic Retinopathy on Retinal Fundus Images -- 1 Introduction -- 2 DR Features -- 3 Literature Review -- 4 Proposed Methodology -- 5 Conclusion -- References -- Hate Text Finder Using Logistic Regression -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Working of Proposed System -- 5 Results -- 6 Conclusion -- 7 Future Scope -- References -- Automated Revealing and Warning System for Pits and Blockades on Roads to Assist Carters -- 1 Introduction -- 2 Pothole and Obstacle Detection Working Model -- 3 Implementation of Pothole and Obstacle Detection -- 3.1 Stage 1: When an Obstacle is Detected -- 3.2 Stage 2: When the Working Model Detects Potholes -- 4 Conclusion -- References.
Green Data Center Power Flow Management with Renewable Energy Sources and Interlinking Converter -- 1 Introduction -- 2 Uninterruptible Power Supply -- 3 Proposed Framework for Green Data Center -- 4 Simulation Result -- 5 Conclusion -- References -- Design of Grid-Connected Battery Storage Wave Energy and PV Hybrid Renewable Power Generation -- 1 Introduction -- 2 Problem Formulation -- 2.1 Scenario 1: Rising Voltage Profile -- 2.2 Scenario 2: Backward Power Flow -- 2.3 Scenario 3: An Increase in the Fault Current's Size -- 2.4 Scenario 4: The Traditional Method is to Estimate the EG's Penetration Limitations -- 3 Proposed Solutions -- References -- Power Quality Enhancement with PSO-Based Optimisation of PI-Based Controller for Active Power Filter -- 1 Introduction -- 2 Power Quality -- 2.1 Power Quality Problems -- 2.2 The Benefits of Power Quality -- 3 PSO -- 4 Optimisation of PI Controller By Using PSO -- 5 Conclusion -- References -- Monitoring and Control of Motor Drive Parameters Using Internet of Things Protocol for Industrial Automation -- 1 Introduction -- 1.1 Automation -- 1.2 Material and Method -- 1.3 Relay and Contactor -- 2 Architecture of SCADA -- 2.1 Human-Machine Interface (HMI) -- 2.2 Internet of Things SCADA System -- 2.3 Data Communication -- 2.4 Data Presentation -- 2.5 Data Acquisition -- 3 Conclusion -- References -- Switching Loss Comparison of a Cascaded Diode-Clamped Inverter with Conventional Multilevel Inverters -- 1 Introduction -- 2 Inverter Topologies -- 2.1 Cascaded H-Bridge Inverter (CHBI)-(9-Level) -- 2.2 Diode-Clamped Multilevel Inverter (DCMLI)-(Five-Level) -- 2.3 Hybrid Inverter-Cascaded Diode-Clamped Inverter (CDCI)-(Nine-Level) -- 3 Switching Loss Calculation -- 4 Simulation and Results -- 4.1 Cascaded H-Bridge Inverter (Nine-Level)-Results -- 4.2 Diode-Clamped Multilevel Inverter (FiveLevel)-Results. 4.3 Cascaded Diode-Clamped Inverter (Nine-Level)-Results -- 4.4 Comparision of CHBI, DCMLI and CDCI -- 5 Conclusion -- References -- An Energy-Efficient Mechanism Using Blockchain Technology for Machine-Type Communication in LTE Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Cluster-Based Energy-Efficient Cluster Head Using Blockchain -- 3.1 Distance (fdistance) -- 3.2 Delay (fdelay) -- 3.3 Energy (fenergy) -- 3.4 Objective Function -- 3.5 WTL Algorithm for Optimal Cluster Head Selection -- 3.6 Blockchain Technology -- 4 Results and Discussions -- 4.1 Simulation Procedure -- 5 Conclusion -- References -- Comparison of Echo State Network with ANN-Based Forecasting Model for Solar Power Generation Forecasting -- 1 Introduction -- 2 Methodology -- 2.1 Artificial Neural Network -- 2.2 Echo State Network -- 3 Statistical Methods -- 4 Result and Discussion -- 5 Conclusion -- References -- A Grey Wolf Integrated with Jaya Optimization Based Route Selection in IoT Network -- 1 Introduction -- 2 Literature Review -- 3 Proposed Routing Strategy in IoT -- 3.1 Computation of Fitness Value -- 3.2 Optimal Node Selection Using GWJO Model -- 3.3 Route Establishment -- 4 Results -- 4.1 Simulation Set-Up -- 5 Conclusion -- References -- Secure Software Development Life Cycle: An Approach to Reduce the Risks of Cyber Attacks in Cyber Physical Systems and Digital Twins -- 1 Introduction -- 2 Literature Survey -- 2.1 Cyber Physical Systems and Their Attacks? -- 2.2 Advantages of Digital Twin Over Cyber Physical System -- 2.3 Disadvantages of DT -- 2.4 Cyber Digital Twin -- 2.5 How Secure Are CDTs? -- 3 Methodology -- 3.1 Secure Software Development Life Cycle (Proposed Solution) -- 3.2 Why SSDLC and not SDLC? -- 3.3 Detailed Look at the SSDLC -- 4 Conclusion -- References. Social Networks and Time Taken for Adoption of Organic Food Product in Virudhunagar District-An Empirical Study -- 1 Introduction -- 2 Related Works -- 3 Conceptual Framework -- 4 Objectives of the Study -- 5 Area of the Study, Sample Framework and Procedure -- 6 Days to Purchase -- 7 Members of the Social Group -- 8 Reason to Join in the Group -- 9 The Frequency of Participation in the Group -- 10 Information Trust by the Respondents -- 11 Convey Information About New Product -- 12 Cost Spend by the Respondents for Passing the Information -- 13 Like to Spread the Information -- 14 Quantity of Passing of Information -- 15 Hypothesis -- 16 Kruskal-Wallis Test -- 17 Living Place and Adoption of New Product in the Market -- 18 Chi-Square Tests -- 19 Age Group and Information Passing -- 20 Chi-Square Test -- 21 Exponential Smoothing for Applying Roger's Model in Identifying the Adoption of Organic Food Product -- 22 Exponential Growth -- 23 Findings and Discussion -- References -- Usage of Generative Adversarial Network to Improve Text to Image Synthesis -- 1 Introduction -- 2 Literature Survey -- 2.1 Generative Adversarial Networks -- 2.2 Text to Photo-Realistic Image Synthesis with Stacked GAN -- 2.3 Image Generation from Scene Graphs -- 2.4 Fine Grained Text to Image Generation with Attentional Generative Adversarial Networks (Attn GAN) -- 2.5 Realistic Image Synthesis with Stacked Generative Adversarial Networks (Stack GAN++) -- 3 Methodology -- 3.1 Defining Goal -- 3.2 Researching Previous Attempts -- 3.3 Defining Approach -- 3.4 Algorithm -- 4 Experiments and Results -- 4.1 Experiment Setting -- 4.2 Effectiveness of New Modules -- 4.3 Component Analysis of AATM -- 4.4 Component Analysis of SDM -- 4.5 Comparison of KT GAN with Other GAN Models -- 4.6 Visualization -- 5 Conclusion -- References. Recurrent Neural Network-Based Solar Power Generation Forecasting Model in Comparison with ANN -- 1 Introduction -- 2 Methodology -- 2.1 Artificial Neural Network (ANN) -- 2.2 Recurrent Neural Network (RNN) -- 3 Statistical Measures -- 4 Result and Discussion -- 5 Conclusion -- References -- Android Malware Detection Using Genetic Algorithm Based Optimized Feature Selection and Machine Learning -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Proposed Method -- 2.1 Supervised Classification (Training Dataset) -- 2.2 Supervised Classification (Test Dataset) -- 2.3 System Design -- 2.4 Use Case Diagram -- 3 Testing and Implementation -- 4 Results and Discussion -- 5 Conclusion -- References -- Mental Health Disorder Predication Using Machine Learning for Online Social Media -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Collection -- 3.3 Check Category -- 3.4 Check Wordlist -- 4 Machine Learning Models -- 5 Result and Discussion -- 6 Conclusion -- References -- An Application on Sweeping Machines Detection Using YOLOv5 Custom Object Detection -- 1 Introduction -- 2 Related Work -- 2.1 YOLOv5 -- 2.2 Model Description -- 3 Proposed System -- 3.1 Dataset -- 3.2 Manual Labeling -- 3.3 Augmentation -- 4 Training -- 5 Results -- 6 Command -- 7 Conclusion and Future Work -- References -- Analyze and Detect Lung Disorders Using Machine Learning Approaches-A Systematic Review -- 1 Introduction -- 2 State-of-Art: Overview -- 3 Dataset Availability -- 4 Methodology -- 5 Conclusions and Future Work -- References -- A Study on Predicting Skilled Employees' Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Classifier Construction -- 3.1 Objectives and Problem Definition -- 3.2 Data Collection and Understanding Process -- 3.3 Data Preparation and Pre-processing -- 4 Modeling and Experiments. 5 Comparative Analysis and Discussion:. |
| Record Nr. | UNINA-9910838282603321 |
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Gunjan Vinit Kumar
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational intelligence in machine learning : select proceedings of ICCIML 2021 / / edited by Amit Kumar, [and three others]
| Computational intelligence in machine learning : select proceedings of ICCIML 2021 / / edited by Amit Kumar, [and three others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (512 pages) |
| Disciplina | 929.605 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Computational intelligence |
| ISBN |
981-16-8483-9
981-16-8484-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Machine Learning-Based Project Resource Allocation Fitment Analysis System (ML-PRAFS) -- 1 Introduction -- 1.1 Outlook -- 1.2 Purpose of the Research -- 1.3 Outline of the Proposed Model -- 1.4 Organizing of the Paper -- 2 AI-Based PMP -- 2.1 Effective Utilization of Resources -- 2.2 More Effective Planning -- 2.3 Effective Cost Management -- 2.4 Project Dynamics -- 3 Framework for the Proposed Model -- 3.1 Fundamental Elements of the Model -- 3.2 Metrics for the Models -- 3.3 Data Classifiers and Training Model -- 3.4 Algorithm for the Proposed Model -- 3.5 Datasets -- 4 Test Result Analysis -- 5 Conclusion -- References -- Electric Theft Detection Using Unsupervised Machine Learning-Based Matrix Profile and K-Means Clustering Technique -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Matrix Profile -- 2.2 K-Means Clustering Algorithm -- 2.3 Results and Discussion -- 3 Conclusion -- References -- Placement Analysis-A New Approach to Ease the Recruitment Process -- 1 Introduction -- 2 Literature Survey -- 2.1 PAT -- 2.2 Workable -- 3 Proposed Methodology -- 4 Results -- 5 Conclusion -- 6 Future Scope -- References -- Continuous Assessment Analyzer Using Django -- 1 Introduction -- 2 Existing System -- 3 Proposed Methodology -- 4 Result of the Interface and Functionality -- 5 Conclusion -- 6 Future Scope -- References -- Fuzzy Logic in Battery Energy Storage System (BESS) -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Research Goal -- 1.3 Objective -- 1.4 Scope of the Project -- 2 Literature Review -- 2.1 Introduction -- 2.2 Battery -- 2.3 Fuzzy Logic Controller -- 3 Methodology -- 3.1 Battery -- 3.2 Proteus Simulation -- 3.3 MATLAB/Simulink Simulation -- 3.4 Fuzzy Logic Designer -- 3.5 Hardware Development -- 3.6 Box Storage for the Battery Energy Storage System.
3.7 Battery Energy Storage System Flowchart -- 4 Results and Discussion -- 4.1 Battery Energy Storage System (BESS) with Conventional Sequential Algorithm -- 4.2 Results Using Conventional Sequential Algorithm -- 4.3 Fuzzy Logic in Battery Energy Storage System (BESS) -- 5 Conclusion -- References -- Fault Classification of Cooling Fans Using a CNN-Based Approach -- 1 Introduction -- 2 Research Background -- 3 Methodology -- 3.1 System Overview -- 3.2 Experimental Setup -- 3.3 Fault Classification Using Image Encoding and CNN -- 4 Results and Analysis -- 4.1 Application of Convolutional Neural Network -- 5 Conclusion -- References -- Violence Recognition Using Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 2.1 Deep Learning -- 2.2 Convolutional Neural Networks (CNNs) -- 2.3 The Previous Studies on Action Classification Frameworks -- 3 Research Methodology -- 4 Model Design and Development -- 5 Discussions and Result -- 5.1 Analysis on VGG19 Model -- 5.2 Analysis on MobileNetV2 Model -- 5.3 Analysis on InceptionResNetV2 Model -- 5.4 Comparison of Analysis Between VGG19, MobileNetV2, and InceptionResNetV2 -- 6 Conclusion -- References -- Automated Grading of Citrus suhuiensis Fruit Using Deep Learning Method -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Acquisition -- 3 Classification Using Convolutional Neural Network -- 4 Results and Discussion -- 5 Conclusion -- References -- The Future of Car Automation Field with Smart Driverless Technologies -- 1 Introduction -- 1.1 Need -- 1.2 What Would Happen When the Whole City's Car and Transportation Become Driverless? -- 2 The Five Principles of Swarm Intelligence -- 3 Major Advance Work in Real-Time Top Autonomous Car's and Its Advance Features Areas -- 3.1 Mercedes-Benz F015 Luxury in Motion -- 3.2 Volvo Cars Unified Interface for Self-driving Cars -- 3.3 Tesla Autopilot. 3.4 Google Self-driving Car -- 4 Artificial Intelligence System in Car Automation Field -- 5 IOI-Based Car Automation System -- 6 Limitation's with Self-driving Cars and Real Practical Actual Accidents till Now -- 7 Conclusion -- References -- Diagnosis and Medicine Prediction for COVID-19 Using Machine Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Materials and Methodology -- 3.1 Dataset Used -- 3.2 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- 1 Introduction -- 2 Methodology -- 3 Experiments and Result -- 4 Conclusion -- References -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Setup -- 1 Introduction -- 2 Automation by Programmable Logic Controller -- 3 Hardware Development -- 4 Supervisory Control and Data Acquisition System (SCADA) -- 5 Conclusion -- References -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- 1 Introduction -- 2 Thin McKibben Muscle Platform -- 3 Control Strategy of Thin McKibben Muscle Platform -- 4 Experimental Results -- 5 Conclusion -- References -- Defect Severity Classification of Complex Composites Using CWT and CNN -- 1 Introduction -- 2 Signal Preprocessing Using Continuous Wavelet Transform -- 3 Classification Using Convolutional Neural Network -- 4 Results and Discussion -- 5 Conclusion -- References -- Detection of Mobile Phone Usage While Driving Using Computer Vision and Deep Learning -- 1 Introduction -- 2 Research Methodology -- 2.1 Image Acquisition -- 2.2 Data Preprocessing -- 2.3 Proposed Methodology -- 3 Experimental Results -- 3.1 Faster R-CNN Model Results -- 3.2 Performance Evaluation Between Existing Works and Proposed Work -- 4 Conclusion -- References. Industry Revolution 4.0 Knowledge Assessment in Malaysia -- 1 Introduction -- 2 Building Skills 4.0 Through University and Enterprise Collaboration (SHYFTE) -- 3 Industry Revolution 4.0 Knowledge Assessment Methodology -- 4 Results and Discussions -- 4.1 Vision of Digital Transformation and IR4.0 Technology Importance Assessment -- 4.2 IR4.0 Skills Assessment -- 4.3 IR4 Establishment and Willingness to Adopt -- 4.4 Technology Adoption -- 5 Conclusions -- References -- Practical Approaches: User Stories Domain Prediction and Keyword Extraction for Insights -- 1 Introduction -- 1.1 Natural Language Processing -- 1.2 Natural Language Generation -- 1.3 Named Entity Recognition -- 2 Related Work -- 3 Practical Implementation on Domain Classification and Keyword Extraction -- 3.1 Data Collection -- 3.2 Algorithm Implementation -- 3.3 Keyword Extraction -- 3.4 API Building -- 4 Conclusion -- References -- An Improved Content-Based Image Retrieval System for Tomato Leaf Disease Classification -- 1 Introduction -- 2 Methodology -- 2.1 Pre-processing -- 2.2 Feature Extraction -- 2.3 Feature Combination -- 2.4 Disease Classification -- 3 Results -- 3.1 Implementation -- 3.2 Classification -- 4 Conclusion -- References -- Plant Disease Identification Using Discrete Wavelet Transform and Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 System Requirements -- 3.3 Experimental Setup -- 4 Results and Discussion -- 4.1 Comparative Results -- 5 Conclusion and Scope of Further Study -- References -- Recognizing Art Style Automatically in Painting Using Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 The Proposed Framework -- 3.1 Model Explanation -- 3.2 Classification Loss Function -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Experimental Analysis and Comparison -- 5 Conclusion. References -- Depressive Bangla Text Detection from Social Media Post Using Different Data Mining Techniques -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Text Preprocessing -- 3.3 Feature Extraction Method -- 3.4 Supervised Learning and Classifier -- 4 Result Analysis -- 5 Conclusion -- References -- Implementation of Optimized PID Controllers in Real Time for Magnetic Levitation System -- 1 Introduction -- 2 Modeling of MAGLEV System -- 2.1 Brief Description of the MAGLEV Hardware Plant -- 2.2 Mathematical Model of the MAGLEV System -- 3 Optimized PID Design Algorithm -- 4 Simulation and Real-Time Results -- 5 Conclusions -- References -- Anomalous Behavior Detection in Examination -- 1 Introduction -- 2 Related Works -- 3 Design of New Work -- 4 Conclusions -- References -- A Survey on DDoS Attacks from Compromised Devices to Enhance IoT Security -- 1 Introduction -- 2 Related Work -- 3 Classification of DDoS Attacks -- 4 Appliance of DDoS Attacks -- 5 Artificial Intelligence in Identification of DDoS Attacks -- 6 Conclusion -- References -- A Study of Glaucoma Diagnosis Using Brain-Computer Interface Technology -- 1 Introduction -- 2 Related Works -- 3 Emerging Technology in Visual Field Test -- 3.1 Cambridge Glaucoma Visual Function Test -- 3.2 Visual Function Test Using Virtual Reality Goggle -- 3.3 Perimetry Analysis Using Tablet -- 3.4 Tablet Perimetry with Gaze Tracking -- 3.5 Visual Field Test Using Robot -- 4 How SSVEP-Based BCI Best for Glaucoma Diagnosis -- 5 Conclusion -- References -- Seafloor Habitat Mapping Using Machine Learning and Underwater Acoustic Sonar -- 1 Introduction -- 2 Methodology -- 2.1 Study Area -- 2.2 Data Collection -- 2.3 Data Processing -- 2.4 Machine Learning -- 3 Results and Discussion -- 4 Conclusion -- References. Smart Irrigation for Enhanced Agriculture Production Using IoT. |
| Record Nr. | UNINA-9910743241203321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2019 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman
| Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2019 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xii, 325 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Machine learning Neural networks (Computer science) Engineering—Data processing Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Data Engineering |
| ISBN | 981-15-1632-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Novel Design and Implementation of Pipeline Inspection System -- An in-depth Survey on Massive Open Online Course Outcome Prediction -- Prediction of Cardiovascular diseases using HUI Miner -- Selection of Connecting Phrases in Weather Forecast -- Analysis of Bayesian Regularization and LevenbergMarqaudt training algorithms of the Feed -- Data Mining On Cloud Based Big Data. |
| Record Nr. | UNINA-9910484683103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Effects of Mineral Elements on the Environment
| Effects of Mineral Elements on the Environment |
| Autore | Pinto Marina Cabral |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (132 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
phosphorus
adsorption steel slag fly ash activated clay reactor Ramganga River turbidity Landsat 8 SR water quality Ganges River fluoride groundwater Sustainable Development Goal 6 rural community water supply weathered basement aquifer hydrogeology policy change risk heavy metal human health pollution indices soil plant diseases nanoparticles diseases biotic stress management silver nanoparticles zinc nanoparticles calcium carbonate nanoparticles calcium oxide nanoparticles incense sticks ash sludge eggshell terrestrial environment radiocesium cesium-137 radioactive contamination cancer risk radionuclide nuclear accident nominal risk decision making |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557769803321 |
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Pinto Marina Cabral
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electronic waste : recycling and reprocessing for a sustainable future / / Maria E. Holuszko, Amit Kumar, and Denise C. R. Espinosa
| Electronic waste : recycling and reprocessing for a sustainable future / / Maria E. Holuszko, Amit Kumar, and Denise C. R. Espinosa |
| Autore | Holuszko M. E. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (339 pages) |
| Disciplina | 363.7282 |
| Soggetto topico |
Recycling (Waste, etc.) - Technological innovations
Sustainable development |
| Soggetto genere / forma | Electronic books. |
| ISBN |
3-527-81640-2
3-527-81639-9 3-527-81642-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction, Vision, and Opportunities -- 1.1 Background -- 1.2 E‐Waste -- 1.3 Outline -- References -- Chapter 2 e‐Waste Management and Practices in Developed and Developing Countries* -- 2.1 Introduction -- 2.2 Overview on WEEE Management and Practices -- 2.3 International WEEE Management and Transboundary Movement -- 2.4 WEEE Management and Practices - Developed and Developing Countries -- 2.5 Developed Countries -- 2.5.1 Switzerland -- 2.5.2 Japan -- 2.5.3 Australia -- 2.6 Developing Countries -- 2.6.1 Brazil -- 2.6.2 India -- 2.6.3 South Africa -- 2.6.4 Nigeria -- 2.6.5 Taiwan -- 2.7 Conclusions -- References -- Chapter 3 e‐Waste Transboundary Movement Regulations in Various Jurisdictions* -- 3.1 Background -- 3.2 International Legislation and Transboundary Movement -- 3.3 Extended Producer Responsibility (EPR) -- 3.4 Regulations in Various Jurisdictions -- 3.4.1 Europe -- 3.4.1.1 France -- 3.4.1.2 Germany -- 3.4.1.3 Switzerland -- 3.4.1.4 Norway -- 3.4.2 Americas -- 3.4.2.1 United States of America -- 3.4.2.2 Canada -- 3.4.2.3 Brazil -- 3.4.3 Asia -- 3.4.3.1 Japan -- 3.4.3.2 China -- 3.4.3.3 Taiwan -- 3.4.3.4 India -- 3.4.4 Africa -- 3.4.4.1 South Africa -- 3.4.4.2 Nigeria -- 3.4.5 Australia -- 3.5 Conclusions -- References -- Chapter 4 Approach for Estimating e‐Waste Generation -- 4.1 Background -- 4.2 Econometric Analysis -- 4.3 Consumption and Use/Leaching/Approximation 1 Method -- 4.4 The Sales/Approximation 2 Method -- 4.5 Market Supply Method -- 4.5.1 Simple Delay -- 4.5.2 Distribution Delay Method -- 4.5.3 Carnegie Mellon Method/Mass Balance Method -- 4.6 Time‐Step Method -- 4.7 Summary of Estimation Methods -- 4.8 Lifespan of Electronic Products -- 4.9 Global e‐Waste Estimation -- References.
Chapter 5 Materials Used in Electronic Equipment and Manufacturing Perspectives* -- 5.1 Introduction -- 5.2 Large Household Appliances (LHA) -- 5.3 Small Household Appliance (SHA) -- 5.4 IT and Telecommunications Equipment -- 5.4.1 Computers and Notebooks -- 5.4.2 Monitors and Screens -- 5.4.3 Mobile Phones (MP) -- 5.4.4 Printed Circuit Boards (PCB) -- 5.5 Photovoltaic (PV) Panels -- 5.6 Lighting Equipment -- 5.7 Toys, Leisure, and Sport -- 5.8 Future Trends in WEEE - Manufacturing, Design, and Demand -- References -- Chapter 6 Recycling Technologies - Physical Separation -- 6.1 Introduction -- 6.2 Dismantling -- 6.3 Comminution/Size Reduction -- 6.3.1 Shredders -- 6.3.2 Hammer Mills -- 6.3.3 High‐Voltage Fragmentation -- 6.3.4 Knife Mills -- 6.3.5 Cryogrinding -- 6.4 Particle Size Analysis -- 6.5 Size Separation/Classification -- 6.5.1 Screening -- 6.5.2 Classification -- 6.5.2.1 Centrifugal Classifier -- 6.5.2.2 Gravitational Classifiers -- 6.6 Magnetic Separation -- 6.6.1 Low‐Intensity Magnetic Separators -- 6.6.2 High‐Intensity Magnetic Separators -- 6.7 Electrical Separation -- 6.7.1 Corona Electrostatic Separation -- 6.7.2 Triboelectric Separation -- 6.7.3 Eddy Current Separation -- 6.8 Gravity Separation -- 6.8.1 Jigs -- 6.8.2 Spirals -- 6.8.3 Shaking Tables -- 6.8.4 Zig‐Zag Classifiers -- 6.8.5 Centrifugal Concentrators -- 6.8.6 Dense Medium Separation (DM Bath/Cyclone) -- 6.9 Froth Flotation -- 6.10 Sensor‐Based Sorting -- 6.11 Example Flowsheets -- References -- Chapter 7 Pyrometallurgical Processes for Recycling Waste Electrical and Electronic Equipment -- 7.1 Introduction -- 7.2 Printed Circuit Boards -- 7.3 Pyrometallurgical Processes -- 7.3.1 Smelting -- 7.3.1.1 Copper‐Smelting Processes - Sulfide Route -- 7.3.1.2 Copper‐Smelting Processes - Secondary Smelters -- 7.3.1.3 Lead‐Smelting Processes. 7.3.1.4 Advantages and Limitations of Smelting Processes -- 7.3.2 Electrochemical Processes -- 7.3.2.1 High‐Temperature Electrolysis -- 7.3.2.2 Low‐Temperature Electrolysis -- 7.3.3 Other Pyrometallurgical Operations Used in Electronic Waste Recycling -- 7.3.3.1 Roasting -- 7.3.3.2 Molten Salt Oxidation Treatment -- 7.3.3.3 Distillation -- 7.3.3.4 Pyrolysis -- References -- Chapter 8 Recycling Technologies - Hydrometallurgy -- 8.1 Background -- 8.2 Waste Printed Circuit Boards (WPCBs) -- 8.3 Photovoltaic Modules (PV) -- 8.4 Batteries -- 8.5 Light‐Emitting Diodes (LEDs) -- 8.6 Trends -- References -- Chapter 9 Recycling Technologies - Biohydrometallurgy -- 9.1 Introduction -- 9.2 Bioleaching: Metal Winning with Microbes -- 9.3 Biosorption: Selective Metal Recovery from Waste Waters -- 9.3.1 Biosorption Via Metal Selective Peptides -- 9.3.2 Chelators Derived from Nature -- 9.4 Bioflotation: Separation of Particles with Biological Means -- 9.5 Bioreduction and Bioaccumulation: Nanomaterials from Waste -- 9.6 Conclusion -- References -- Chapter 10 Processing of Nonmetal Fraction from Printed Circuit Boards and Reutilization -- 10.1 Background -- 10.2 Nonmetal Fraction Composition -- 10.3 Benefits of NMF Recycling -- 10.3.1 Economic Benefits -- 10.3.2 Environmental Protection and Public Health -- 10.4 Recycling of NMF -- 10.4.1 Physical Recycling -- 10.4.1.1 Size Classification -- 10.4.1.2 Gravity Separation -- 10.4.1.3 Magnetic Separation -- 10.4.1.4 Electrical Separation -- 10.4.1.5 Froth Flotation -- 10.4.2 Chemical Recycling -- 10.5 Potential Usage -- References -- Chapter 11 Life Cycle Assessment of e‐Waste - Waste Cellphone Recycling -- 11.1 Introduction -- 11.2 Background -- 11.2.1 Theory of Life Cycle Assessment -- 11.3 LCA Studies on WEEE -- 11.3.1 Applications on WEEE Management Strategy -- 11.3.2 Applications on WEEE Management System. 11.3.3 Applications on Hazardous Potential of WEEE Management and Recycling -- 11.4 Case Study -- 11.4.1 Goal and Scope Definition -- 11.4.1.1 Functional Unit -- 11.4.1.2 System Boundary -- 11.4.2 Life Cycle Inventory -- 11.4.2.1 Formal Collection -- 11.4.2.2 Informal Collection -- 11.4.2.3 Mechanical Dismantling -- 11.4.2.4 Plastic Recycling -- 11.4.2.5 Screen Glass Recycling -- 11.4.2.6 Battery Disposal -- 11.4.2.7 Electronic Refining for Materials -- 11.4.3 Life Cycle Impact Assessment -- 11.4.4 Results -- 11.4.4.1 Feature Phone Formal Collection Scenario -- 11.4.4.2 Feature Phone Informal Collection Scenario -- 11.4.4.3 Smartphone Formal Collection Scenario -- 11.4.4.4 Smartphone Informal Collection Scenario -- 11.4.5 Discussion -- 11.5 Conclusion -- References -- Chapter 12 Biodegradability and Compostability Aspects of Organic Electronic Materials and Devices -- 12.1 Introduction -- 12.1.1 Technological Innovation and Waste -- 12.1.2 Eco‐friendliness -- 12.1.3 Organic Electronics -- 12.1.4 Opportunities for Green Organic Electronics -- 12.2 State of the Art in Biodegradable Electronics -- 12.3 Organic Field‐Effect Transistors (OFETs) -- 12.3.1 Fundamentals -- 12.3.2 Anthraquinone, Benzoquinone, and Acenequinone -- 12.3.3 Quinacridones -- 12.4 Electrochemical Energy Storage -- 12.4.1 Quinones -- 12.4.2 Dopamine -- 12.4.3 Melanins -- 12.4.4 Tannins -- 12.4.5 Lignin -- 12.5 Biodegradation in Natural and Industrial Ecosystems -- 12.5.1 Degradation and Biodegradation -- 12.5.2 Composting Process -- 12.5.3 Materials Half‐Life Under Composting Conditions -- 12.5.4 Biodegradation in the Environment -- 12.6 Microbiome in Natural and Industrial Ecosystems -- 12.6.1 The Ruminant-Hay Natural Ecosystem -- 12.6.2 The Termite-Wood Natural Ecosystem -- 12.6.3 The Industrial Composter-Biowaste Ecosystem -- 12.6.3.1 Municipal Composting Facility. 12.6.3.2 Engineered Composting Facility -- 12.6.4 Specialized Inoculant Adapted to Organic Matter -- 12.6.5 Specialized Inoculant Adapted to Heavy Metals -- 12.7 Concluding Remarks and Perspectives -- Acknowledgment -- References -- Chapter 13 Circular Economy in Electronics and the Future of e‐Waste -- 13.1 Introduction -- 13.2 Digitalization and the Need for Electronic Devices -- 13.3 Recycling and Circular Economy -- 13.4 Challenges for e‐Waste Recycling and Circular Economy -- 13.5 Drivers for Change - Circular Economy -- 13.6 Demand for Recyclable Products -- 13.7 Summary -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910555030603321 |
|
Holuszko M. E.
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| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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