Advanced Technology for Smart Environment and Energy

Contents
1 Energy Optimization Analysis on Internet of Things
1.1 Introduction
1.1.1 Concept
1.1.2 Motivation
1.1.3 Methodology
1.2 Internet of Things
1.3 Internet of Things in the Energy Sector
1.3.1 IoT and Energy Generation
1.3.2 Smart Cities
1.3.3 Smart Grids
1.3.4 Smart Buildings
1.3.5 Smart Industry Energy Use
1.3.6 Intelligent Transportation
1.4 Identified Challenges of Applying Internet of Things
1.4.1 Energy Consumption
1.5 Future Trends
1.5.1 Blockchain and IoT
1.5.2 Green Internet of Things
1.6 Conclusions
References
2 UAV-Enabled WSN and Communication Framework for Data Security, Acquisition and Monitoring on Large Farms: A Panacea for Real-Time Precision Agriculture
2.1 Introduction
2.2 Related Work
2.3 Data Aggregation Scheme for FWSN Gateway
2.3.1 Registration and Key Management
2.3.2 Data Aggregation
2.3.3 Data De-Aggregation
2.4 Farm Wireless Sensor Network System
2.4.1 Farm Wireless Sensor Network (FWSN)
2.4.2 Data Acquisition System
2.5 Performance Analysis
2.5.1 Quantity-Specific Geospatial Sensing
2.5.2 Evaluation of FWSN System
2.5.3 Latency of RF-Based Data Transmission
2.6 Conclusion
References
3 Investigation of the Energy and Emission from the Combustion of Argain Cake in a CHP System
3.1 Introduction
3.2 General Framework
3.3 Materiel and Method
3.3.1 Materials, Sample Preparation Analysis and Measurement
3.3.2 Physic Chemical Properties Comparison (Rahib et al. 2019; Elorf et al. 2022)
3.3.3 Stirling Engine to Built CHP System
3.4 Result and Discussion
3.4.1 Comparison of the Electricity Generated as a Function of the Flow Rate Injection of Three Biomasses
3.4.2 Methodology and Math Modeling
3.4.3 Comparison of Temperature and CO2 Emissions of Argain Cake, Argain Nut and Olive Cake Using Ansys Fluent
3.5 Conclusion
References
4 Identification, Simulation and Modeling of the Main Power Losses of a Photovoltaic Installation and Use of the Internet of Things to Minimize System Losses
4.1 Introduction
4.2 Photovoltaic Production
4.3 Materials and Methods
4.3.1 The Effect of Temperature on Photovoltaic Panels
4.3.2 Electrical Cables Requirements in a Photovoltaic Field
4.3.3 Introducing the Simulation Program
4.4 Results and Discussion
4.4.1 Simulation of the Effect of Temperature Increase on PV Cells
4.4.2 Simulation of the Series Resistance Effect
4.4.3 Simulation of the Shunt Resistance Effect
4.4.4 Simulation of all Losses in a Real Photovoltaic Installation
4.4.5 Intelligent Solar Panel Cooling System
References
5 Mixed Thermal Boundary Condition Effects on Non-Darcian Model
5.1 Introduction
5.2 Mathematical Modeling
5.3 Basic Profile
5.3.1 Linear Stability Analysis
5.4 Numerical Solutions
5.5 Discussion and Results
5.6 Conclusion
References
6 Behavior and Electrocatalytic Degradation of Textile Azo Dye Under Acidic Conditions
6.1 Introduction
6.2 Experimental
6.3 Results and Discussion
6.3.1 Influence of Violet 5R Dye Concentration
6.3.2 Influence of Potential Scan Rate
6.3.3 Electrolysis of Violet 5R Dye by Chronoamperometry
6.4 Conclusion
References
7 Modeling and Simulation of Phytoremediation Technology by Artificial Neural Network
7.1 Introduction
7.2 Materials and Methods
7.2.1 Description of the Phytoremediation System
7.2.2 Data Collection
7.3 Results and Discussion
7.4 Conclusion
References
8 Cryptocurrency Returns Clustering Using Japanese Candlesticks: Towards a Programmatic Trading System
8.1 Introduction
8.1.1 Cryptocurrency Trading
8.1.2 Clustering
8.1.3 Returns
8.2 Data and Methods
8.2.1 Data Retrieval
8.2.2 Data Preprocessing
8.2.3 Kmeans and Elbow Method
8.3 Results and Discussion
8.4 Conclusion and Perspectives
References
9 Modelling and Simulating the Effect of Irradiation Variation on the Behavior of a Photovoltaic Cell and Its Influence on the Maximum Power Point
9.1 Introduction
9.2 Materials and Methods
9.2.1 Solar Radiation
9.2.2 Basic Properties of Semiconductors
9.2.3 Photovoltaic Cells
9.3 Results
9.3.1 Influence of Illuminance on the I(V) AND P(V) Characteristic
9.3.2 The Variation of the Maximum Power Point PMPP as a Function of the Irradiance
9.4 Conclusion
References
10 Ecological Risks Related to the Influence of Different Environmental Parameters on the Microplastics Behavior
10.1 Introduction
10.2 Materials and Methods
10.3 Results and Discussion
10.3.1 Microplastics in the Marine Environment 
10.3.2 Toxicological Impact Resulting from the Behavior of Microplastics with Different Environmental Factors 
10.4 Treatment
10.5 Conclusion
References
11 An Effective Ensemble Learning Model to Predict Smart Grid Stability Using Genetic Algorithms
11.1 Introduction
11.2 Data Source
11.3 Methodology
11.3.1 XGBoost with Genetic Algorithm
11.3.2 Artificial Neural Network
11.3.3 LightGBM
11.3.4 Random Forest
11.4 Results and Discussions
11.5 Conclusion
References
12 Optimization of Performance the Waste in Treatment of Textile Wastewater Using Response Surface Methodology
12.1 Introduction
12.2 Materials and Techniques
12.2.1 Materials
12.2.2 Methods
12.2.3 Test
12.3 Results and Argumentation
12.3.1 Results
12.3.2 Process Analysis
12.3.3 Process Optimization
12.4 Conclusion
References
13 An Overview of the Security Challenges in IoT Environment
13.1 Introduction
13.2 Some Application of IoT
13.3 IoT Security Challenges and Issues
13.3.1 IoT Security Challenges
13.3.2 Main Attacks in the IoT Environment
13.3.3 Security Services Required for the IoT
13.4 Solutions
13.4.1 Authentication Protocols
13.4.2 Intrusion Detection Systems
13.4.3 Machine Learning
13.5 Conclusion
References
14 Modeling of the Coagulation System for Treatment of Real Water Rejects
14.1 Introduction
14.2 Materials and Methods
14.2.1 Coagulation Process
14.2.2 Artificial Neural Networks (ANNs)
14.3 Results and Discussions
14.3.1 Analysis of the Results
14.3.2 RNA Models
14.3.3 Model Validation
14.4 Conclusion
References
15 Effects of Heat Stress and Chemical Pollutants on Sheep Reproduction and Strategies to Mitigate Them
15.1 Introduction
15.2 Climate Change and Chemical Pollutants as Major Environmental Challenges
15.3 Impact of Heat Stress on  Sheep Reproductive Performances
15.3.1 Thermoregulation
15.3.2 Semen Quality and Spermatogenesis
15.3.3 Male and Female Behaviors
15.3.4 Heat Stress Effects During Mating on Ewe Fertility
15.3.5 Pregnancy
15.3.6 Mitigation Strategies for Heat Stress
15.4 Impact of Chemical Pollutants on  Sheep Reproductive Performances
15.4.1 Endocrine Disruptor Chemicals
15.4.2 Effects of Heavy Metals and Fluoride on Sheep Reproductive Parameters
15.4.3 Mitigation Strategies for Chemical Pollutants
15.5 Conclusion
References
16 Dynamics of Tree Cover on the Adaptive Genetic Variation and Evolutionary Power of the Argan Forests from the Essaouira Region of Morocco Facing Climate Change
16.1 Introduction
16.2 Material and Methods
16.2.1 Study Area
16.2.2 Genetic Analysis Af Argan Trees
16.2.3 Data Sources
16.3 Results
16.3.1 Evolution of Tree Cover
16.3.2 Vegetation Indices
16.3.3 Genetic Indices
16.4 Discussion
16.5 Conclusion
References
17 Deep-PDSC: A Deep Learning-Based Model for a Stage-Wise Classification of Parlatoria Date Scale Disease
17.1 Introduction
17.2 Related Works
17.3 Methods and Experiments
17.3.1 Dataset
17.3.2 Proposed Framework
17.3.3 Performed Tests
17.3.4 Evaluation Metrics
17.4 Results and Discussion
17.5 Conclusion and Perspectives
References
18 Adsorption of Inorganic and Organic Pollutants in Urban Wastewater Treatment Using Pine Wood Activated Carbon
18.1 Introduction
18.2 Materials and Methods
18.2.1 Materials
18.2.2 Experimental Methods
18.3 Results and Discussions
18.3.1 Evaluation of the Organic Pollution of Wastewater (Biodegradability)
18.3.2 Parameters Effect
18.3.3 Adsorption Kinetics
18.4 Conclusion
References
19 Control of COVID 19: Knowledge and Practices of Health Professionals in Hospitals Towards Patients and the Environment in Morocco (Meknes)
19.1 Introduction
19.2 Materials and Methods
19.2.1 Study Area
19.2.2 Study Participants and Sampling
19.2.3 Data Collection and Analysis
19.2.4 Ethical Considerations
19.3 Results
19.3.1 Socio-Professional Characteristics of Participants
19.3.2 Healthcare Professional History of Covid Infection
19.3.3 Preventive Practices of Healthcare Professionals Towards Patients
19.3.4 Preventive Practices of Healthcare Professionals Towards the Environment
19.4 Discussions
19.5 Conclusion
References
20 The Evaluation of the Valorization of Cannabis Residues for the Production of Energy by Combustion
20.1 Introduction
20.2 Material and Method
20.2.1 Thermal Drying
20.2.2 Measurement and Sampling
20.2.3 Data Collection
20.3 Resultats and Discussion
20.3.1 Physic Chemical Properties
20.3.2 Realization of the Logs
20.3.3 Drying and Combustion Results
20.4 Conclusion
References
21 Delineation of Groundwater Potential Zones in a Semi-arid Region Using Remote Sensing and GIS: A Case Study of Argana Corridor (Morocco)
21.1 Introduction
21.2 Study Area, Data and Methods
21.2.1 Study Area
21.2.2 Datasets
21.2.3 Methods
21.3 Results and Discussion
21.3.1 Conditioning Factors
21.3.2 Validation of Groundwater Potential Map
21.4 Conclusion
References
22 New Development in Renewable Energy Research
22.1 Introduction
22.2 Composition of Lignocellulosic Biomass
22.2.1 Cellulose
22.2.2 Hemicellulose
22.2.3 Lignin
22.3 Processing Methods
22.3.1 Physical and Thermal Process
22.3.2 Grinding
22.3.3 Soaking
22.3.4 Mechanical Extrusion
22.3.5 Microwave
22.3.6 Ultrasound
22.3.7 Pulsed Electric Field
22.3.8 Freezing
22.3.9 Pyrolysis
22.3.10 Carbonization
22.3.11 Combustion
22.3.12 Gasification
22.3.13 Liquefaction
22.3.14 Steam Explosion
22.3.15 Liquid Hot Water
22.3.16 Wet Oxidation
22.3.17 Carbon Dioxide Explosion Pretreatment
22.3.18 Acid Pretreatmen
22.3.19 Alkaline Pretreatment
22.3.20 Ozonolysis Pretreatment
22.3.21 Ionic Liquids Pretreatment
22.3.22 Ammonia Pretreatment
22.3.23 Organosolv Pretreatment
22.3.24 Multiple Solvents
22.3.25 Biological Pretreatment
22.3.26 Combined Pretreatment
22.3.27 Nanoscale Pretreatment Methods
22.4 Biofuel and Energy Production
22.4.1 Biofuel of the 1st Generation
22.4.2 Biofuel of 2nd Generation
22.4.3 Biofuels of the 3rd Generation
22.4.4 Biofuels of the 4th Generation
22.5 Advancement and Sustainability in Future
22.6 Summery
References
23 Building an Intelligent Anomaly Detection Model with Ensemble Learning for IoT-Based Smart Cities
23.1 Introduction
23.2 Literature Survey
23.3 Proposed Intrusion Detection Framework
23.3.1 Proposed Model
23.3.2 Description of Solution
23.4 Experimental Assessment and Results
23.5 Conclusion
References
24 Embedded Web Server Implementation for Real-Time Water Monitoring
24.1 Introduction
24.2 Related Works
24.3 Material and Methods
24.3.1 System Architecture
24.3.2 Used Materiel
24.4 Results and Discussion
24.5 Conclusion
References
25 Crystal Structure and Impedance Spectroscopy Studies of New Orthophosphate Ba2-xPbxSr(PO4)2; (0 ≤ x ≤ 2)
25.1 Introduction
25.2 Experimental Procedure
25.2.1 Thermal Method
25.2.2 Impedance Spectroscopy
25.3 Results and Discussion
25.3.1 Thermal Behavior Analysis
25.3.2 Analysis by Impedance Spectroscopy
25.4 Conclusion
References