This paper introduces a power optimization paradigm for sequential components based on the concept of computational kernel, a highly simplified logic block whose behavior mimics the steady-state behavior of the original specification. We present a flexible framework that supports a number of algorithmic options for carrying out kernel extraction. We first describe an exact symbolic procedure th...

A new methodology for extracting all frequent sequential patterns with minimum variable-length wildcard regions from sequence databases in order to extract candidates of a motif from amino acid sequences is proposed. A scope database defined by the k-length pattern consists of not only the projected database including the start position of a scan but also the range of the scan and occurrences c...

Selective Sequential Extractions (SSE) were used to study the retention mechanisms of heavy metals on three estuarine alluvium soil columns obtained from leaching experiment for up to 5 pore volumes (PV). Leaching results indicate that almost 99 % of heavy metals (Pb, Cu, and Zn) were retained in the soils with the Ce/Co values in the order of 10 -3 to 10. This is in accord with the results obt...

In this paper we present a method for latches and flip flops recognition within VHDL descriptions of hardware systems. Due to the simulation based semantics of VHDL, the existing synthesis tools rely on explicit templates to guarantee memorizing element inference. The approach proposed here is based on a formal representation of VHDL in terms of Interpreted Petri Nets (IPN). After the compilati...

This paper shows the benefit of using data mining methods for Biological Natural Language Processing. A method for discovering linguistic patterns based on a recursive sequential pattern mining is proposed. It does not require a sentence parsing nor other resource except a training data set. It produces understandable results and we show its interest in the extraction of relations between named...

Software system analysis for identifying software functionality in source code remains as a major problem in the reverse engineering literature. The early approaches for extracting software functionality mainly relied on static properties of software system. However the static approaches by nature suffer from the lack of semantic and hence are not appropriate for this task. This paper presents ...

The aim of these enhancements is to improve the flexibility of the algorithms by decoupling the process of rule extraction that uses the concept lattice from the process of rule reduction that does not have to use it. With the added flexibility, an approach for parallel rule extraction and rule reduction is also presented.