Connection of internal scan chains in core wrapper design (CWD) is necessary to handle the width match of TAM and internal scan chains. However, conventional serial connection of internal scan chains incurs power and time penalty. Study shows that the distribution and high density of don’t care bits (X-bits) in test patterns make scan slices overlapping and partial overlapping possible. A novel...

Data extraction from the Web represents an important issue. Several approaches have been developed to bring the wrapper generation process at the web scale. Although they rely on different techniques and formalisms, they all learn a wrapper given a set of sample pages. Unsupervised approaches require just a set of sample pages, supervised ones also need training data. Unfortunately, the accurac...

The problem of Web phishing attacks has grown considerably in recent years and phishing is considered as one of the most dangerous Web crimes, which may cause tremendous and negative effects on online business. In a Web phishing attack, the phisher creates a forged or phishing website to deceive Web users in order to obtain their sensitive financial and personal information. Several conventiona...

We present a new wrapper feature selection algorithm for human detection. This algorithm is a hybrid feature selection approach combining the benefits of filter and wrapper methods. It allows the selection of an optimal feature vector that well represents the shapes of the subjects in the images. In detail, the proposed feature selection algorithm adopts the k-fold subsampling and sequential ba...

Web information extraction typically relies on a wrapper, i.e., program code or a configuration that specifies how to extract some information from web pages at a specific website. Manually creating and maintaining wrappers is a cumbersome and error-prone task. It may even be prohibitive as some applications require information extraction from previously unseen websites. This paper targets auto...

In this paper, we describe techniques for learning wrappers efficiently using very few user-supplied labels (typically, 1 or 2 labels, all within a single page). This is an improvement over previous work, which require multiple labeled examples on multiple pages. In effect, it brings the power of the wrapper down to the level of the end-user, who can teach, by only a few demonstrations, the lab...

In this paper, we propose an adaptive wrapper generator that can generate adaptable wrapper for adapting networked information sources (NIS) format changes. When NIS’s format changed, the adaptable wrapper can start recovery phase to discover the extraction rule of the new format of target NIS. The wrapper can automatically adapt the changes of content tag and accurately extract information. Th...

This paper presents a novel attribute selection approach for backprop neural networks. Previously, an attribute selection technique known as the wrapper model was shown effective for decision trees induction. However, it is prohibitively expensive when applied to real-world neural net training characterized by large volumes of data and many attribute choices. Our approach incorporates a weight ...

|This paper presents a novel feature selection approach for backprop neural networks. Previously, an feature selection technique known as the wrapper model was shown eeective for decision trees induction. However, it is prohibitively expensive when applied to real-world neural net training characterized by large volumes of data and many feature choices. Our approach incorporates a weight analys...

Nowadays scientiic data is inevitably digital and stored in a wide variety of formats in heterogeneous systems. Scientists need to access an integrated view of remote or local heterogeneous data sources with advanced data analyzing and visualization tools. Building a digital library for scientiic data requires accessing and manipulating data extracted from at les or documents retrieved from the...