Paul S., Paiva S., Fu B. (eds.) Frontiers of Data and Knowledge Management for Convergence of ICT, Healthcare, and Telecommunication Services

Cham: Springer, 2022. — 150 p.This book provides a range of application areas of data and knowledge management and their solutions for the fields related to the convergence of information and communication technology (ICT), healthcare, and telecommunication services. The authors present approaches and case studies in future technological trends and challenges in the aforementioned fields. The book acts as a scholarly forum for researchers both in academia and industry.Development of an Interoperable-Integrated Care Service Architecture for Intellectual Disability Services: An IrishCase Study.About the CSDM Project.
Case Study.
Nursing Engagement in System Design.
Insights on Digital Transformation in Ireland.
Summary of Case Study Methodology Phase One.
Initial Requirements Gathering and Needs Analysis.
Evidence and Action Steps.
Scoping Review and Mapping Exercise.
Informal Scoping.
Formal Scoping.
Technical Implementation.
Data Modeling.
Ontology Alignment.
Formal Model.
Inference.
Knowledge Graph.
Discussion.
Conclusion and Future Work.Big Data Analytics for Healthcare Information System: Field Study in a US Hospital.
Introduction: IT in US General Hospitals.
Overview of Current Healthcare Information Systems.
The Measurement of the Healthcare System.
Quantitative Research.
Qualitative Research.
Challenges in Understanding Existing Healthcare Information Systems.
The Field Study of EVMS.
Statistical Findings.
Gap Between Patient Demand and Doctor Schedule.
Discussion and Future Work.Smart City: An Intelligent Automated Mode of Transport Using Shortest Time of Travel Using Big Data.Background and Motivation.
Literature Survey.
Automated Transport.
Classification of Autonomous Cars.
Ant Colony Optimization.
Dijkstra's Algorithm.
GPS (Global Positioning System).
LIDAR (Light Detection and Ranging).
Odometry.
Computer Vision.
Ad Hoc Network.
Big Data.
Cloud Computing.
Motivation.
Problem Statement.
Proposed Work Description.
Implementation of Prototype.
Mathematical Model.
Collision Avoidance.
Conclusion and Future Work.Context Awareness for Healthcare Service Delivery with Intelligent Sensors.OverviewHealthcare Service Delivery.
Significance of Context Information.
Applicability with Mobile Sensing Devices.
Microphone Sensor.
Camera Sensor.
Accelerometer and Geo-Location Facilitator Sensor.
Prevalent Applications.
Vocera.
Mobile WARD.
Other Medication Consumption Devices.
Intelligent Hospital.
Intelligent Wheelchair for Disabling Humans.
Dot Smartwatch.
MotionSavvyUNI.
Open Challenges.
Localization.
Connectivity.
Real-Time Data.
Environmental Issue.
Feasibility of Data.
Storage of Relevant Data and History.
Context Awareness in Healthcare.
Smart Sensory Devices.
Wireless Medical Sensors: Requirements and Challenges.
Context-Aware Sensor Data.
Pervasive Healthcare.
Mining Context-Based Health Aspects.
Multi aspect Context-Based Dataset.
Collaborative Intelligent Mining.
Security in Healthcare Service Delivery Model: A Case Study.
Recent Trends in Intelligent Healthcare Delivery.Optimization of Training Data Set Based on Linear Systematic Sampling to Solve the Inverse Kinematics of DOF Robotic Arm with Artificial Neural Networks.Artificial Neural Networks.
Inverse Kinematics Solution with Artificial Neural Networks.
Neural Networks Based Inverse Kinematics Solution.
Kinematics Analysis of Ketzal Robot.
Description of Data Sets.
Data Set Collection.
Dispersion Analysis of the Generated Data Set.
Reduction Algorithm Based on Linear Systematic Sampling.
Data Set Normalization.
Training and Test Data Sets.
Training and Test Back Propagation Neural Network.
Training and Test Generalized Regression Neural Network.
Results.
Reduction Data Filter Analysis.
Performance Evidence with Filtering: Comparison GRNN with BPNN.
Conclusions and Discussions.Smart Farming Prediction System Embedded with the Internet of Things.Background Study.
Traditional Farming System.
Traditional to Smart Agriculture System.
Supply Chain Management in Agriculture.
Farmer to Factory (FF).
IoT-Based Smart Farming.
Arduino UNO.
Results.