DPA on quasi delay insensitive asynchronous circuits: formalization and improvement

The purpose of this paper is to formally specify a flow devoted to the design of Differential Power Analysis (DPA) resistant QDI asynchronous circuits. The paper first proposes a formal modeling of the electrical signature of QDI asynchronous circuits. The DPA is then applied to the formal model in order to identify the source of leakage of this type of circuits. Finally, a complete design flow is specified to minimize the information leakage. The relevancy and efficiency of the approach is demonstrated using the design of an AES crypto-processor.Comment: Submitted on behalf of EDAA (http://www.edaa.com/

Bounds on the Sum Capacity of Synchronous Binary CDMA Channels

In this paper, we obtain a family of lower bounds for the sum capacity of Code Division Multiple Access (CDMA) channels assuming binary inputs and binary signature codes in the presence of additive noise with an arbitrary distribution. The envelope of this family gives a relatively tight lower bound in terms of the number of users, spreading gain and the noise distribution. The derivation methods for the noiseless and the noisy channels are different but when the noise variance goes to zero, the noisy channel bound approaches the noiseless case. The behavior of the lower bound shows that for small noise power, the number of users can be much more than the spreading gain without any significant loss of information (overloaded CDMA). A conjectured upper bound is also derived under the usual assumption that the users send out equally likely binary bits in the presence of additive noise with an arbitrary distribution. As the noise level increases, and/or, the ratio of the number of users and the spreading gain increases, the conjectured upper bound approaches the lower bound. We have also derived asymptotic limits of our bounds that can be compared to a formula that Tanaka obtained using techniques from statistical physics; his bound is close to that of our conjectured upper bound for large scale systems.Comment: to be published in IEEE Transactions on Information Theor

Business Intelligence and the Web. Guest editors' introduction

The special issue of Information Systems Frontiers on Business Intelligence and the Web discusses the increasing use of Business Intelligence (BI) solutions that allow enterprise to query, understand, and analyze business data to make better decisions. The special issue targets the issues of Web data feeding BI and engineering Web-enabled BI in the discussion. It states that the amount and complexity of data available on the Web has been growing rapidly over a period of time. Designers of BI applications making use of data from the Web have to deal with several challenges due to these developments. The importance of Web opinion feeds as information sources for companies is highlighted in an article entitled 'Storing and Analyzing Voice of the Market Data in the Corporate Data Warehouse'. The authors propose a technique to integrate opinion data in BI models. Specifically, they present a multidimensional data model that integrates sentiment data extracted from customer opinion forums into the corporate data warehouse

Technology-Enhanced Learning in Blended Learning Environments: A Report on Standard Practices

This report summarizes educational adoption instances of computing and communication technologies for blended learning environments. We focus on the technologies of desktop videoconferencing and podcasting as they were adopted in the 2005-07 time period. We also expand and present major issues from a panel discussion on this topic at the 2007 Americas Conference on Information Systems (AMCIS) held at the Keystone Resort in Colorado