|May 18 - 20, 2008|
Iowa State University
Ames, IA, USA
|2008 IEEE INTERNATIONAL CONFERENCE on |
Technical sponsorship for the conference is supported by organizations listed above.
Digital identity management (DIM) has emerged as a critical foundation for supporting successful interaction in today's globally interconnected society. It is crucial not only for the conduct of business and government but also for a large and growing body of electronic or online social interactions. Digital identity management is usually coupled with the notion of federation. The goal of federations is to provide users with protected environments to federate identities by the proper management of identity attributes. Federations provide a controlled method by which federation members can provide more integrated and complete services to a qualified group of individuals within certain sets of business transactions. By controlling the scope of access to participating sites, and by enabling secure, cross-domain transmission of user's personal information, federations can make the perpetration of identity frauds more difficult, as well as reduce their frequency, and their potential impact. In this talk we first discuss basic digital identity concepts and requirements towards DIM solutions. We then focus on the VeryIDX system and present an approach for the privacy-preserving verification of identity attributes.
Based on studies of the cortical pyramidal neurons, neuroscientists have long concluded that the timing of individual spikes is very important in biological neurons. This concept is the basis for the more powerful pulse encoding method of information encoding. The third generation neurons, known as spiking neurons, employ pulse encoding as opposed to the traditional rate encoding-based neurons. In this Keynote Lecture, a new spiking neural network (SNN) model called Multi-Spiking Neural Network model is presented in which the presynaptic neuron transmits information to the postsynaptic neuron in the form of multiple spikes via multiple synapses. Further, a new supervised learning algorithm is presented for training the new model. The classification accuracies of the new model and algorithm are evaluated using three different problems. For the complicated epilepsy and seizure detection (EEG classification) problem a classification accuracy in the range of 90.7-94.8% was achieved which is significantly higher than the 82% classification accuracy obtained using the single-spiking SNN with the SpikeProp training algorithm. SNNs demonstrate great potential for solving complicated time-dependent pattern recognition problems defined by time series because of their inherent dynamic representation.
Hojjat Adeli is Professor in the Departments of Civil and Environmental Engineering and Geodetic Science, Biomedical Engineering, Biomedical Informatics, Electrical and Computer Engineering, Neuroscience, Neurological Surgery, and the Interdisciplinary Biophysics Graduate Program at The Ohio State University (OSU). He received his Ph.D. from Stanford University in 1976 after receiving his B.S.-M.S. degrees from the University of Tehran in 1973. He has authored over 425 research and scientific publications in various fields of computer science, engineering, applied mathematics, and medicine including 11 books such as Machine Learning - Neural Networks, Genetic Algorithms, and Fuzzy Systems, Wiley, 1995; Neurocomputing for Design Automation, CRC Press, 1998; and Wavelets in Intelligent Transportation Systems, Wiley, 2005. He is the Founder and Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering, now in 23rd year of publication and Integrated Computer-Aided Engineering, now in 16th year of publication. He is also the Editor-in-Chief of International Journal of Neural Systems. He is the quadruple winner of the OSU College of Engineering Lumley Award for outstanding research accomplishments. In 1998 he received the Distinguished Scholar Award from OSU, the university’s highest research award, "in recognition of extraordinary accomplishment in research and scholarship". In 2005, he was elected Honorary/Distinguished Member, ASCE: "for wide-ranging, exceptional, and pioneering contributions to computing in civil engineering and extraordinary leadership in advancing the use of computing and information technologies in many engineering disciplines throughout the world.” In 2007, he received the OSU College of Engineering Peter L. and Clara M. Scott Award for Excellence in Engineering Education "for sustained, exceptional, and multi-faceted contributions to numerous fields including computer-aided engineering, knowledge engineering, computational intelligence, large-scale design 1optimization, and smart structures with worldwide impact," as well as the Charles E. MacQuigg Outstanding Teaching Award.
Modern organizations need to maintain a high level of innovation in their business and products, which requires them to flexibility adapt to rapid change in their environments. Among the main driving forces in this change process are people and their knowledge. Organizations need to utilize this knowledge in the most efficient way since it is part of their competitive advantage. It is therefore fundamental to manage experience, competence, knowledge about business processes and best business practices. Leadership, culture, measurement and technology represent cornerstones to capture and create, transform and innovate, share and apply and also store IT patterns in a sufficient way to enable adaptive infrastructure, applications and solutions. When competitive pressures are increasing and the rate of change is always accelerating, business organizations need to be able to adapt to these continuous changes. It becomes increasingly important for knowledge management to be synchronized with and responsible to requirements and priorities of the business while enabling business innovation and competitive advantage.
There is little doubt that the present energy economy which relies almost entirely on fossil fuels is not sustainable much longer from either environmental or economic considerations. The potential for global warming by continued use of fossil fuels and the scarcity of inexpensive oil resources has brought the need for new technology into sharp focus. In this talk, I will discuss the evidence for potential global warming, the looming scarcity of fossil fuel resources and show that technological changes in the way we use energy and the way we produce it can lead to a sustainable and economically competitive energy picture. In particular, solar energy is on the threshold of becoming a major source of energy and I will discuss various technological strategies for efficiently and economically harnessing solar energy.