This paper introduces Forensic Feature Extraction (FFE) and Cross-Drive Analysis (CDA), two new approaches for analyzing large data sets of disk images and other forensic data. FFE uses a variety of lexigraphic techniques for extracting information from bulk data; CDA uses statistical techniques for correlating this information within a single disk image and across multiple disk images. An arch...

Langmuir–Blodgett (LB) technique has been used to deposit composite multilayers of poly (3-octylthiophene)-cadmium arachidate (POT-CdA) and polyaniline-cadmium arachidate (PANI-CdA). These were used as precursors to develop semiconducting CdS nanoclusters within the conducting polymer based multilayers. The presence of CdS in the multilayers was determined by Fourier transform infrared spectros...

This study was planned to investigate the effect of explicit teaching of some Critical Discourse Analysis (CDA) techniques on Iranian EFL learners' Reading Comprehension. It was attempted to explore any change in the students’ abilities in revealing the implied meaning of the texts. Any change in the students’ views toward learning English was also explored in this study after critical reading ...

Exploratory data analysis (EDA) is a well-established statistical tradition that provides conceptual and computational tools for discovering patterns to foster hypothesis development and refinement. These tools and attitudes complement the use of significance and hypothesis tests used in confirmatory data analysis (CDA). Although EDA complements rather than replaces CDA, use of CDA without EDA ...

Critical Discourse Analysis (CDA) could be seen as a theory in qualitative more than in qualitative stud- ies. This might have led to difficulty in doing CDA. Accordingly, this study attempted to develop a quan- titative profile in the form of an analytic rubric. For this purpose, Fairclough’s model of CDA was select- ed as the research framework. The techniques used for structuring analy...

In this paper, the problem of frontal view recognition on still images is confronted, using subspace learning methods. The aim is to acquire the frontal images of a person in order to achieve better results in later face or facial expression recognition. For this purpose, we utilize a relatively new subspace learning technique, Clustering based Discriminant Analysis (CDA) against two well-known...

Dimension reduction techniques are widely used for the analysis and visualization of complex sets of data. This paper compares two recently published methods for nonlinear projection: Isomap and Curvilinear Distance Analysis (CDA). Contrarily to the traditional linear PCA, these methods work like multidimensional scaling, by reproducing in the projection space the pairwise distances measured in...

The wireless communication nature of remotely deployed sensor nodes make the attacks more easily to be happened in wireless sensor networks (WSNs). But traditional security algorithms are infeasible in WSNs due to the limited computing, communication power, storage, band width and energy of sensor nodes. So energy efficient secure data aggregation schemes are necessary in resource constrained W...

Background: Documents constructed according to the HL7 Clinical Document Architecture (CDA) need to be reviewed, edited and approved by an author, who is usually a clinician. The CDA specification does not require any particular editing tool to be used in creating CDAs. The tools used to edit CDAs have typically been specific to a particular profile of CDA, and even to the application using tha...

BACKGROUND Cervical disc arthroplasty (CDA) is a novel motion-preserving procedure that is an alternative to fusion. The Mobi-C disc prosthesis, one of many Food and Drug Administration (FDA)-approved devices for CDA, is the only FDA-approved prosthesis for two-level CDA. Hence, it may allow for improved outcomes compared with multilevel fusion procedures. PURPOSE To critically assess the ava...