SRAM bit fail maps (BFM) are routinely collected during earlier phases of yield ramping, providing a rich source of information for IC failure and deformation learning. In this paper, we present an automated approach to analyzing BFM data efficiently. We also demonstrate the usability of our analysis framework using real BFM test data from a large, modern SRAM test vehicle.

Analysis of radar data has a quite important role, not just in the work of extending the libraries, which are used in military aircrafts to discover and identify enemy radars and other similar threats. It has also an important role in the process of developing the advanced systems that discovers, identifies and distinguishes the great number of radars and similar threats in an environment. Thes...

UNLABELLED Analysis of microarray experiments is complicated by the huge amount of data involved. Searching for groups of co-expressed genes is akin to searching for protein families in a database as, in both cases, small subsets of genes with similar features are to be found within vast quantities of data. CLANS was originally developed to find protein families in large sets of amino acid sequ...

In this paper, through a series of specific examples, we illustrate some characteristics encountered in analyzing high dimensional multispectral data. The increased importance of the second order statistics in analyzing high dimensional data is illustrated, as is the shortcoming of classifiers such as the minimum distance classifier which rely on first order variations alone. We also illustrate...

Social platforms such as Facebook and Twitter have been growing exponentially in the last few years. As a result of this growth, the amount of social data increased enormously. The need for storing and analyzing social data became crucial. New storage solutions – also called NoSQL – were therefore created to fulfill this need. This thesis will analyze the structure of social data and give an ov...