Applications and Innovations in Intelligent Systems XVI

1. Front Matter

   Pages i-xi

   PDF

2. Best Application Paper

   1. Front Matter

      Pages 1-1

      PDF

   2. Wireless LAN Load-Balancing with Genetic Algorithms

      • Ted Scully, Kenneth N. Brown

      Pages 3-16

3. Machine Learning 1

   1. Front Matter

      Pages 17-17

      PDF

   2. Computer Vision System for Manufacturing of Micro Workpieces

      • T. Baidyk, E. Kussul, O. Makeyev

      Pages 19-32

   3. Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier

      • O. Makeyev, E. Sazonov, S. Schuckers, P. Lopez-Meyer, T. Baidyk, E. Melanson et al.

      Pages 33-46

   4. Visualization of Agriculture Data Using Self-Organizing Maps

      • Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner

      Pages 47-60

4. Machine Learning 2

   1. Front Matter

      Pages 61-61

      PDF

   2. Graph-based Image Classification by Weighting Scheme

      • Chuntao Jiang, Frans Coenen

      Pages 63-76

   3. A Machine Learning Application for Classification of Chemical Spectra

      • Michael G. Madden, Tom Howley

      Pages 77-90

   4. Learning to rank order — a distance-based approach

      • Maria Dobrska, Hui Wang, William Blackburn

      Pages 91-100

5. Web Technologies

   1. Front Matter

      Pages 101-101

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   2. Deploying Embodied AI into Virtual Worlds

      • David J. H. Burden

      Pages 103-115

   3. Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks

      • D. Sleeman, E. Thomas, A. Aiken

      Pages 117-130

   4. Information Management for Unmanned Systems: Combining DL-Reasoning with Publish/Subscribe

      • Herwig Moser, Toni Reichelt, Norbert Oswald, Stefan Förster

      Pages 131-144

6. Intelligent Systems

   1. Front Matter

      Pages 145-145

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   2. Silog: Speech Input Logon

      • Sergio Grau, Tony Allen, Nasser Sherkat

      Pages 147-156

   3. An Electronic Tree Inventory for Arboriculture Management

      • Roger J. Tait, Tony J. Allen, Nasser Sherkat, Marcus D. Bellett-Travers

      Pages 157-167

   4. Conversational Agents in E-Learning

      • Alice Kerry, Richard Ellis, Susan Bull

      Pages 169-182

7. AI In Healthcare

   1. Front Matter

      Pages 183-183

      PDF

Swallowing sound recognition is an important task in bioengineering that could be employed in systems for automated swallowing assessment and diagnosis of abnormally high rate of swallowing (aerophagia) [1], which is the primary mode of ingesting excessive amounts of air, and swallowing dysfunction (dysphagia) [2]-[5], that may lead to aspiration, choking, and even death. Dysphagia represents a major problem in rehabilitation of stroke and head injury patients. In current clinical practice videofluoroscopic swallow study (VFSS) is the gold standard for diagnosis of swallowing disorders. However, VFSS is a ti- consuming procedure performed only in a clinical setting. VFSS also results in some radiation exposure. Therefore, various non-invasive methods are proposed for swallowing assessment based on evaluation of swallowing signals, recorded by microphones and/or accelerometers and analyzed by digital signal processing techniques [2]-[5]. Swallowing sounds are caused by a bolus passing through pharynx. It is possible to use swallowing sounds to determine pharyngeal phase of the swallow and characteristics of the bolus [2].

• Artificial Intelligence
• Evolution
• Intelligent Systems
• agents
• cognition
• genetic algorithms
• knowledge
• learning
• machine learning
• neural network
• ontology
• optimization

• Nottingham Trent University, UK

  Tony Allen

• Stratum Management Ltd, UK

  Richard Ellis

• University of Greenwich, UK

  Miltos Petridis

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