Systems Simulation and Modeling for Cloud Computing and Big Data Applications (Volume 10) (Advances in ubiquitous sensing applications for healthcare (Volume 10), Band 10)

Front Matter
Copyright
Contributors
Preface
Differential color harmony: A robust approach for extracting harmonic color features and perceiving aesthetics in a large i...
	Introduction
	Related works
	Methodology
		Extracting differential harmonic color features
		Regression model design
		Dataset and user study
	Results and analysis
	Discussion and future work
	Acknowledgments
	References
Physiological parameter measurement using wearable sensors and cloud computing
	Patient fall monitoring system
		Methodology
		ARM LPC2148 microcontroller
		ADXL 335 3-axis accelerometer
		Global positioning system
		Global system for mobile communications
		Interfacing ADXL335 accelerometer sensor with LPC2148 microcontroller
		Calibration
		Interfacing GPS and GSM with LPC2148
	Monitoring of patient body temperature
		Methodology
		ESP8266 Wi-Fi module
		ATmega328 microcontroller
		LM393 thermistor module
		Software module ThingSpeak
		Experimental setup
		Results and discussion
	Vital parameter measurement using PPG signal
		Significance of remote patient monitoring
		Importance of PPG signal
		Experimental setup
	Oxygen saturation measurement using PPG signal
		SpO2 calculation
	Heart rate measurement using ECG signal
		Monitoring of ECG signal over wireless transmission
		Results and discussion
	Conclusion
	References
	Further reading
Social media data analytics using feature engineering
	Introduction
	Social media data analytics
		Social media data format
	Feature representation
		Textual feature extraction
			Tokenization
			Token preprocessing
			Stemming and lemmatization
			Vectorization
				Term frequency-inverse document frequency
		Image feature extraction
			Color histogram features
			Histogram of oriented gradients features
			SURF features
			BRISK features
			Deep neural net architectures
			Autoencoders
		Network relation representation
			Adjacency matrix
			Edge list
			Adjacency list
	Clustering methods
		The k-means clustering algorithm
		Fuzzy c-means clustering algorithm
		Mean-shift clustering algorithm
		Expectation-maximization algorithm
		Hierarchical clustering algorithm
		DBSCAN algorithm
		OPTICS algorithm
		Multiple-machine clustering techniques
	Conclusion
	References
A novel framework for quality care in assisting chronically impaired patients with ubiquitous computing and ambient intell ...
	Introduction
	The theoretical perspective of ubiquitous computing
		Wireless technologies
			Radio frequency identification (RFID)
			Bluetooth
			ZigBee
			Near field communication (NFC)
			Sensors
		Wearable technologies
		Human activity recognition
		Internet of Things
		Cloud computing
		Cognitive computing and big data analytics
		Ambient intelligence
	Research challenges
		Context awareness
		Security
		Heterogeneity
		Data management
		Scalability
		Reliability
	Existing technologies
		Telemedicine
		Smart healthcare
		PDA-based healthcare
		Ubiquitous healthcare
	Proposed framework
		Tier 1: Ubiquitous devices
		Tier 2: Edge computing
		Tier 3: Fog computing
		Tier 4: Cloud computing with big data and cognitive analytics
	Conclusion
	References
Dynamic and static system modeling with simulation of an eco-friendly smart lighting system
	Introduction
	Related work
	Modeling a smart street-lighting system
		Factors influencing smart lighting
		System modeling
			Luminaire modeling
			Zone modeling
			Duration modeling
	Static and dynamic CEFRAS
		TOPSIS
		Static-CEFRAS
		Dynamic-CEFRAS
	Simulation analysis and results
		Active duration analysis
		Power utilization analysis
		Lifetime analysis
	Conclusion
	References
Predictive analysis of diabetic women patients using R
	Introduction
		Type 1 diabetes
		Type 2 diabetes [1]
		Gestational diabetes
	Literature survey
	Proposed work
		Attributes
		Predictive models
			Logistic regression model
				Implementing the logistic regression model
			Decision tree
				Implementing the decision tree model
			Random forest model
				Implementing random forest model
			Support vector machine
				Implementing support vector model
				Comparing the four models
	Experimental analysis
	Conclusion and future enhancements
	Acknowledgment
	References
	Further reading
IoT-based smart mirror for health monitoring
	Introduction
	Literature review
	Benchmarks
	Proposed system
	Components
		One-way mirror
		Display
		Raspberry Pi
		Microphones
		Frame and support
		Sensors
	Modules
		Mirror surface module
		Sensing module
		Storage module
		Communication module
	Conclusion
	References
Discovering human influenza virus using ensemble learning
	Introduction
	Literature survey
	Proposed work
		Data collection
		Feature extraction
			Element periodicity
			Subsequence periodicity
			Latent periodicity
			Amino acid composition
			Composition/transition/distribution
			Lengthpep
			Molecular weight
			pI
			Z-scales
		Dataset
		Ensemble learning classifiers
	Experiments and results
		Comparative analysis
	Conclusion
	References
	Further reading
Mining and monitoring human activity patterns in smart environment-based healthcare systems
	Introduction
	Literature review
	Impulse-based Markov model
	Summary and conclusion
	References
Index
	A
	B
	C
	D
	E
	F
	G
	H
	I
	K
	L
	M
	O
	P
	R
	S
	T
	U
	W
	Z