This paper presents a review over the detection of edges by taking a flame as an input image. The identification of flame edge is the process of locating a boundary between those areas where a thermochemical reactions take place. The determination of flame edges is necessary for early fire detection, fire analysis and the estimation of various flame parameters. Edge detection is an important pr...

In recent state-of-the-art electocardiogram (ECG) studies, many authors mention that they had to manually correct automatically detected peaks or exclude artifact-loaded segments from the automatically annotated data they were studying. Given the importance of accurate feature detection for signal analysis, this is clearly a limiting factor. Our investigation into the use of sonification for an...

A large set of machine learning and pattern classification algorithms trained and tested on KDD intrusion detection data set failed to identify most of the user-toroot and remote-to-local attacks, as reported by many researchers in the literature. In light of this observation, this paper aims to expose the deficiencies and limitations of the KDD data set to argue that this data set should not b...

This paper addresses the design of storage systems for operation under critical environmental conditions. For these applications, these systems should have low latency time in access, high performance in throughput and high storage capabilities; therefore, they must be assembled using highly reliable components, while allowing flexibility in design. Commercial Off The Shelf (COTS) components ha...

The growing use of control access systems based on face recognition shed light over the need for even more accurate systems to detect face spoofing attacks. In this paper, an extensive analysis on face spoofing detection works published in the last decade is presented. The analyzed works are categorized by their fundamental parts, i.e., descriptors and classifiers. This structured survey also b...

This study presents an approach, the unit circle (UC), to the qualitative representation of kinematic robots. A robot is described as a collection of constraints holding among time-varying, interval-valued parameters. The UC representation is presented, and the continuous motion of the end-effector is evaluated by the change of directions of qualitative angle and qualitative length. Analytical ...

An automatic, reliable, scanning reductive electrochemical detection system is described for on-line qualitative and semi-quantitative determination and characterization of electro-active compounds in effluentsfrom high-performance liquid chromatographic (HPLC) systems. Applying a static mercury drop electrode, detection can be performed at constant potential for quantitative analysis (current ...

We present a novel approach for model-based FDI of abrupt faults in process components of continuous dynamic systems. Abrupt faults refer to parameter value changes that occur much faster than the nominal process dynamics, and component faults refer to faults that correspond to physical parameters in the bond graph model of a system. These faults cause transients in system behavior. We analyze ...

Mycoplasma pneumoniae (Mp) is a frequent cause of Community Acquired Pneumoniae (CAP). The etiological role of Mp is usually suspected using serological assays, but the detection of specific anti-Mp antibodies becomes possible only 1-2 weeks after the primary infection. On the contrary, direct diagnosis using real-time PCR allows an efficient detection of Mp DNA in all the phases of the infecti...

The complexity of selenium (Se) chemistry in the environment and in living organisms presents broad analytical challenges. The selective qualitative and quantitative determination of particular species of this element is vital in order to understand selenium's metabolism and significance in biology, toxicology, clinical chemistry and nutrition. This calls for state-of-the-art analytical techniq...