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Neural Computation and Particle Accelerators: Research, Technology and Applications
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Editors: Emmerich Chabot and Horace D'Arras
Book Description:
This book discusses neural computation, a network or circuit of biological neurons and relatedly, particle accelerators, a scientific instrument which accelerates charged particles such as protons, electrons and deuterons. Accelerators have a very broad range of applications in many industrial fields, from high energy physics to medical isotope production. Nuclear technology is one of the fields discussed in this book. The development that has been reached by particle accelerators in energy and particle intensity has opened the possibility to a wide number of new applications in nuclear technology. This book reviews the applications in the nuclear energy field and the design features of high power neutron sources are explained. Surface treatments of niobium flat samples and superconducting radio frequency cavities by a new technique called gas cluster ion beam are also studied in detail, as well as the process of electropolishing. Furthermore, magnetic devises such as solenoids, dipoles and undulators, which are essential components for beam orbit control in charged particle accelerators, are also examined in this book, and the important role magnetic fringe fields play in particle dynamics is explored as well. Recent development of modern ion-therapy beam delivery systems are also summarized based on the combination of the pencil-beam scanning techniques with rotating gantries. Other chapters in this book include a discussion of the dynamics of subdural EEG, a general theoretical treatment of frictional cooling and an outline of a novel laser-driven high-energy charged-particle accelerator. Also discussed are a generalized pattern search (GPS) method applied to the topological optimization of artificial neural networks (ANNs) and different applications of the Spike Timing Dependent Plasticity (STDP), a neural algorithm which operates on inter-spike intervals rate rather than firing rate. Surface treatments of niobium flat samples and superconducting radio frequency cavities by a new technique called gas cluster ion beam are studied in detail and by electropolishing are discussed briefly.

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Table of Contents:

Magnetic Fringe Field and Interference in High Intensity Accelerator;pp. 1-87
(J.G. Wang, SNS/ORNL, Oak Ridge, TN)

Transport calculations and accelerator experiments needed for radiation risk assessment in space;pp. 89-104
(L. Sihver, Chalmers University of Technology, Gothenburg, Sweden, Roanoke College, Salem, Virginia, USA)

Transport of Ion-Therapy Beams in Rotating Gantries;pp. 105-145
(Márius Pavlovič, Slovak University of Technology, Bratislava, Slovak Republic)

Investigation of Surface Treatments of Niobium Flat Samples and SRF Cavities by Gas Cluster Ion Beam Technique for Particle Accelerators;pp. 147-187
(A.T. Wu and D.R Swenson, Epion Corporation, Billerica, MA, USA, P. Kneisel, G. Wu, and E. Harms, Fermi National Accelerator Laboratory, Batavia, IL, USA, Z. Insepov, W. Murayi, and H. Edwards, Argonne National Laboratory, Argonne, IL, USA, et al.)

The Roles of Chloroplast Proteases in the Assembly and Turnover of Light-Harvesting Complex;pp. 189-209
(Jie Zhang and Ning Li, Department of Biology, the Hong Kong University of Science and Technology, Hong Kong SAR, China)

Design of High Power Neutron Sources for Nuclear Technology Applications by Means of Particle Accelerators;pp. 211-231
(Alberto Abanades, Universidad Politecnica de Madrid)

Subdural Interictal EEG Analysis for Extracting Discriminating Features towards Electrode Classification Using Artificial Neural Networks;pp. 233-255
(Mercedes Cabrerizo, Malek Adjouadi, Melvin Ayala, Prasanna Jayakar, Department of Electrical & Computer Engineering, Florida International University, Miami, FL, et al.)

A New Method for Preparing Submicron and Nano-sized Aromatic Polyamide Particles with Various Morphologies and Characteristic Features;pp. 257-268
(Yayoi Yoshioka, Technology Research Institute of Osaka Prefecture, Osaka, Japan)

Surface Treatments of Niobium Superconducting Radio Frequency Cavities by Electropolishing For Particle Accelerators;pp. 269-273
(A.T Wu, Thomas Jefferson National Accelerator Facility, Newport News. VA, USA)

Frictional cooling of a particle beam;pp. 275-287
(H. Daniel, F.J. Hartmann
Physik-Department, Technische Universitat Munchen, Garching, Germany)

Model Selection for Gaussian Mixture Model in a Two-Phase Procedure: A Further Comparatine Study;pp. 289-315
(Lei Shi, Department of Computer Science & Engineering, The Chinese
University of Hong Kong, Shatin, NT, Hong Kong, P. R. China}

Principle of a Laser-Driven Charged-Particle Accelerator;pp. 317-322
(H. Daniel, Physik Dept., Technische Univ., Munchen)

Topological Optimization of Artificial Neural Networks Using a Pattern Search Method;pp.323-343
(Matthias Ihme, Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI)

Approximate Joint Matrix Diagonalization by Riemannian-Gradient-Based Optimization over the Unitary Group (With Application to Neural Multichannel Blind Deconvolution);pp. 345-368
(Simone Fiori and Paola Baldassarri, Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni (DEIT), Universita Politecnica delle Marche Via Brecce Bianche, Italy)

Spike Timing Dependent Plasticity: A Route to Robustness in Hardware and Algorithms;pp. 369-403
(Katherine Cameron, Zhijun Yang and Alan Murray, School of Engineering and Electronics, University of Edinburgh)


      Neuroscience Research Progress
   Binding: Hardcover
   Pub. Date: 2010
   Pages: 7 x 10, 417 pp.
   ISBN: 978-1-60741-280-9
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Neural Computation and Particle Accelerators: Research, Technology and Applications