This book sheds light on systems that learn extensively, with purpose and naturally interact with humans. Improving operations and increasing competitive differentiation among manufacturing organizations by harnessing the power of cognitive abilities, IoT can help build and influence the flow of information―making the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computing―its ability to transform businesses, governments, and society. The real potential of the cognitive age can be realized by combining data analysis and statistical reasoning of machines with uniquely human qualities, such as self-directed goals, common sense, and moral values, improving operations and increasing competitive differentiation among manufacturing organizations. By harnessing the power of cognitive abilities, IoT can help build and influence the flow of information―making the shop floor more cognitive through effective processing, analysis, and operational optimization. Cognitive initiatives come in all shapes and sizes, from change to strategy and everything in between. What most successful projects have in common, no matter how ambitious, is they start with a clear view of what technology can do. Therefore, the first job of a cognitive scientists is to gain a firm understanding of cognitive abilities, as presented in this book.
Author(s): Mohammed Usman, Xiao-Zhi Gao
Series: Advanced Technologies and Societal Change
Publisher: Springer
Year: 2023
Language: English
Pages: 131
City: Singapore
Introduction
Contents
1 Publishing Temperature and Humidity Sensor Data to ThingSpeak
Introduction
Literature Review
Existing System
Proposed System
Implementation
Results and Discussion
LCD Output
ThingSpeak Output
Conclusion and Future Scope
References
2 Design of Hybrid Logic Full Subtractor Using 10 T XOR – XNOR Cell
Introduction
XOR – XNOR Circuit
FS Cell
Module II
Module III
Proposed FS Cell
Results Anddiscussion
Simulation Environment
Simulation Results
Conclusion
References
3 Stuck-At Fault Detection in Ripple Carry Adders with FPGA
Introduction
Proposed Methodology
Results and Discussion
Conclusion
References
4 Prediction of COVID-19 Spreaders
Introduction
Methodology
Block Diagram
Hardware and Software Requirements
Objective
Arima
Prophet
Random Forest
XGBoost
LGBM
Existing System
Proposed System
Working
Results
Conclusion
Future Scope
References
5 Smart Agricultural Solutions Through Machine Learning
Introduction
Literature Survey
Applying Big Data for Intelligent-Based Agriculture Crop Selection
Machine Learning Techniques for Classification and Plant Diseases Prediction
Crop Suitability Detection
Recognition
Crop Yield Prediction from Soil Analysis
Proposed model
Crop Selection
Disease Recognition
Implementation of Proposed System
Datasets Used
Decision Tree Algorithm Used for Predicting the Crop Based on Soil
Convolutional Neural Network Algorithm Used for Predicting the Corn Crop Disease
Results and Discussion
Crop Selection
Plant Disease Recognition
Conclusion
References
6 Low-Cost ECG-Based Heart Monitoring System with Ubidots Platform
Introduction
System Architecture
Methodology
Software Implementation
Setting Up Ubidots
Experimental Measurements and Results
Cost Analysis
Conclusion
References
7 Automatic Attendance Management System Using AI and Deep Convolutional Neural Network
Introduction
Literature Survey
Methodology
Facial and Temperature Detection
Facial Recognition
Record Management in Excel
Managing Data in the Cloud
Notifying Statistics to Students Using Mail
Experimental Analysis
Algorithm
YOLO [You Only Look Once]
LBPH [Local Binary Pattern]
HAAR Cascades
Result
Conclusion
References
8 Automatic Vehicle Alert and Accident Detection System Based on Cloud Using IoT
Introduction
Literature Review
Proposed Methodology
Experimental Results
Conclusion
Future Scope
References
9 AEFA-ANN: Artificial Electric Field Algorithm-Based Artificial Neural Networks for Forecasting Crude Oil Prices
Introduction
ANN
AEFA-ANN-Based Forecasting
Experimental Results and Analysis
Conclusions
References
10 A Critical Survey on Machine Learning Paradigms to Forecast Software Defects by Using Testing Parameters
Introduction
Theoretical Analysis
Classification Algorithms
Methodology
Accuracy Prediction
Features Extraction
Investigationson Data Behaviour
Preprocessing
Flow Chart
Table: Accuracy
Experimental Results and Discussions
Summary
Conclusion
Recommendations
References
11 Low-Power Comparator-Triggered Method of Multiplication for Deep Neural Networks
Introduction
Floating Point Representation (IEEE754)
The Comparator-Triggered Multipliers (CTM)
Experimental Results and Analysis
Conclusion
References
12 Assembly Line Implementation for IOT Applications
Introduction
LabVIEW
Hardware
IR Sensors
Arduino UNO
Servo Motors
NI myDAQ
Buzzer
Results and Discussion
Conclusion
References
13 Dementia Disease Detection from Psychiatric Disorders Based on Automatic Speech Analysis
Introduction
Proposed Method
Pre-processing
Feature Extraction
Classification
Experimental Results
Conclusion
References
