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Information Assurance and computer security are serious worldwide concerns of governments, industry, and academia. Computer security is one of the three new focal areas of the ACM/IEEE's Computer Science Curriculum update in 2008. This ACM/IEEE report describes, as the first of its three recent trends, "the emergence of security as a major area of concern." The importance of Information Assurance and Information Assurance education is not limited to the United States. Other nations, including the United Kingdom, Australia, New Zealand, Canada, and other members from NATO countries and the EU, have inquired as to how they may be able to establish Information Assurance education programs in their own country.The goal of this document is to explore the space of various existing Information Assurance educational standards and guidelines, and how they may serve as a basis for helping to define the field of Information Assurance. It was necessary for this working group to study what has been done for other areas of computing. For example, computer science (CS 2008 and associate-degree CS 2009), information technology (IT 2008), and software engineering (SE 2004), all have available curricular guidelines.In its exploration of existing government, industry, and academic Information Assurance guidelines and standards, as well as in its discovery of what guidance is being provided for other areas of computing, the working group has developed this paper as a foundation, or a starting point, for creating an appropriate set of guidelines for Information Assurance education. In researching the space of existing guidelines and standards, several challenges and opportunities to Information Assurance education were discovered. These are briefly described and discussed, and some next steps suggested.

Within the last 10 years, technological advances have allowed personal wireless communications to become part of our global, information-centric culture. Cellular telephones, personal digital assistants, and wireless computer networks allow for tetherless use anytime and almost anywhere. These wireless communication advances have quickly matured through three technological generations. Currently, wireless communications are considered to be in the third generation (3G) of deployment and are rapidly approaching the fourth (4G). As these wireless technologies advance to meet market demand, careful pre-market technical analysis of these new capabilities must be made to understand potential impact on existing communication systems. This paper provides a novel examination into the effects of 4G ultrawide band (UWB) signaling on a 3G wireless fidelity (WiFi) system. Through empirical and statistical analyses, we show that the throughput performance of the Wi-Fi system can be negatively impacted by up to 20%. We conclude that careful implementation of emerging 4G UWB systems must occur to mitigate the detriments to existing 3G communication systems. Keywords: Telecommunications; Wireless communications; 3G; 4G; UWB; WiFi, 1. Introduction Estimates show that almost 700 million people will use third generation (3G) wireless fidelity (WiFi) services by 2008 [1]. This increased demand for wireless connectivity does not come [...]

A new model-based vision (MBV) algorithm is developed to find regions of interest (ROI's) corresponding to masses in digitized mammograms and to classify the masses as malignant/benign. The MBV algorithm is comprised of five modules to structurally identify suspicious ROI's, eliminate false positives, and classify the remaining as malignant or benign. The focus of attention module uses a difference of Gaussians (DOG) filter to highlight suspicious regions in the mammogram. The index module uses tests to reduce the number of nonmalignant regions from 8.39 to 2.36 per full breast image. Size, shape, contrast, and Laws texture features are used to develop the prediction module's mass models. Derivative-based feature saliency techniques are used to determine the best features for classification. Nine features are chosen to define the malignant/benign models. The feature extraction module obtains these features from all suspicious ROI's. The matching module classifies the regions using a multilayer perception neural network architecture to obtain an overall classification accuracy of 100% for the segmented malignant masses with a false-positive rate of 1.8 per full breast image. This system has a sensitivity of 92% for locating malignant ROI's. The database contains 272 images (12 b, 100 [[micro]meter]) with 36 malignant and 53 benign mass images. The results demonstrate that the MBV approach provides a structured order of integrating complex stages into a system for radiologists. Index Terms - Breast cancer, medical imaging, model-based vision, neural networks.

Driving tests are conducted on large-scale steel model pipe piles with open toes to determine how geometric configurations of the toes affect driving performance. A further objective is to investigate a wave-equation model for predicting driveability of open-toe piles in dense, saturated sand. The tests are conducted in a large pressure chamber. Examination of the experimental data and of finite element analyses of the problem indicate that pipes with thickened and beveled toes require less energy for penetration than plain, cylindrical pipes, and that none of the piles plug solidly during driving up to penetrations of 21 diameters into the dense layer, It is found that the angle of wall friction on the interior of the pipe is a major factor in controlling the plug movement. One-dimensional wave-equation simulations of the tests are found to be adequate, but only with empirical adjustment of parameters related to static resistance.