Intelligent Algorithms in Ambient and Biomedical Computing

Contents
Contributing Authors
Preface
Acknowledgments
Part I: Healthcare
	1. Bioscience Computing and the Role of Computational Simulation in Biology
		1.1. Introduction to bioscience computing
		1.2. Simulating adaptive behaviour
		1.3. Impact and future directions for bioscience computing
		1.4. Summary and conclusions
		References
	2. The Many Strands of DNA Computing
		2.1. Introduction
		2.2. DNA computing
		2.3. Synthetic biology
		2.4. Conclusion and future directions
		References
	3. Bio-Inspired Data Management
		3.1. Introduction
		3.2. Data cell overview
		3.3. The communication infrastructure
		3.4. The life cycle
		3.5. Application challenges
		3.6. Conclusion
		References
	4. An Introduction to Machine Consciousness
		4.1. Introduction
		4.2. Biological consciousness
		4.3. Machine consciousness
		4.4. Is it relevant?
		4.5. Applications
		4.6. Conclusion
		References
Part II: Lifestyle
	5. Optimal Selection of TV Shows for Watching and Recording
		5.1. Introduction
		5.2. Problem definition
		5.3. Computational complexity
		5.4. Scheduling shows for watching
		5.5. A dynamic programming approach
		5.6. Run time improvements
		5.7. Experiments
		5.8. Conclusion
		References
	6. Movie-in-a-Minute: Automatically Generated Video Previews
		6.1. Introduction
		6.2. Related work
		6.3. Requirements
		6.4. Formal model
		6.5. Implementation and results
		6.6. Need for personalization
		6.7. Conclusions
		References
	7. Features for Audio Classification: Percussiveness of Sounds
		7.1. Introduction
		7.2. Feature extraction algorithm
		7.3. Experiments
		7.4. Summary
		References
	8. Extracting the Key from Music
		8.1. Introduction
		8.2. Musical pitch and key
		8.3. Method
		8.4. Evaluation
		8.5. Conclusion
		References
	9. Approximate Semantic Matching of Music Classes on the Internet
		9.1. Introduction
		9.2. Semantic coordination
		9.3. Internet music schemas
		9.4. Approximate matching
		9.5. Experiment with approximate matching
		9.6. Future work
		9.7. Conclusion
		References
	10. Ontology-Based Information Extraction from the World Wide Web
		10.1. Introduction
		10.2. Problem definition
		10.3. Solution approach
		10.4. Case study: Finding famous people on the Web
		10.5. Concluding remarks
		References
	11. Privacy Protection in Collaborative Filtering by Encrypted Computation
		11.1. Introduction
		11.2. Memory-based collaborative filtering
		11.3. Encryption
		11.4. Encrypted user-based algorithm
		11.5. Encrypted item-based algorithm
		11.6. Conclusion
		References
Part III: Technology
	12. A First Look at the Minimum Description Length Principle
		12.1. Introduction and overview
		12.2. The fundamental idea: Learning as data compression
		12.3. MDL and model selection
		12.4. Crude and refined MDL
		12.5. The MDL philosophy
		12.6. MDL and Occam's razor
		12.7. History
		12.8. Challenges for MDL: The road ahead
		12.9. Summary, conclusion and further reading
		References
	13. Semantic Web Ontologies and Entailment: Complexity Aspects
		13.1. Introduction
		13.2. RDF graphs and simple entailment
		13.3 RDFS entailment and D* entailment
		13.4. pD* entailment
		13.5. Conclusion
		References
	14. Bayesian Methods for Tracking and Localization
		14.1 Introduction
		14.2. Bayesian networks for dynamic systems analysis
		14.3. Localization of a mobile platform
		14.4. Tracking with distributed cameras
		14.5. Conclusions and remaining issues
		References
	15. Private Profile Matching
		15.1. Introduction
		15.2. Preliminaries
		15.3. Secure approximate matching w.r.t. Hamming distance
		15.4. Conclusion
		References
	16. Air Fair Scheduling for Multimedia Transmission over Multi-Rate Wireless LANs
		16.1. Introduction
		16.2. Fairness in wireless/mobile networks
		16.3. AFS in an IEEE 802.11e wireless LAN
		16.4. Station scheduler
		16.5. Local scheduler (LS)
		16.6. Numerical and simulation results
		16.7. Experimental setup and results
		16.8. Conclusions
		References
	17. High Throughput and Low Power Reed Solomon Decoder for Ultra Wide Band
		17.1. Motivation
		17.2. Introduction to Reed Solomon
		17.3. Channel model
		17.4. Architecture design options
		17.5. Design flow
		17.6. Results
		17.7. Benchmarking
		17.8. Optimisations to design
		17.9. Conclusions
		References
Index
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