Gas and liquid chromatography coupled to triple quadrupole tandem mass spectrometry are currently the most powerful tools employed for the routine analysis of pesticide residues in food control laboratories. However, whatever the multiresidue extraction method, there will be a residual matrix effect making it difficult to identify/quantify some specific compounds in certain cases. Two main effe...

This paper is concerned with the stability analysis problem of bidirectional associative memory neural networks with time-varying delays and leakage delays. A new sufficient stability criterion is derived for the addressed system in terms of linear matrix inequalities by constructing a Lyapunov-Krasovskii functional and employing delay decomposition approach. Finally, the effectiveness of deriv...

The paper studies delay-dependent global robust problem for a class of uncertain stochastic delayed neural networks of neutral-type with discrete and distributed delays. Novel stability criteria are obtained in terms of linear matrix inequality (LMI) by employing the LyapunovKrasovskii functional method and using the free-weighting matrices technique. In addition, two examples are given to show...

In this paper we present a method of sound classification which exploits a parts-based representation of spectrotemporal sounds, employing the nonnegative matrix factorization (NMF) [1]. We illustrate a new way of learning nonnegative features using a variant of NMF and show its useful behavior in the task of general sound classification with comparison to independent component analysis (ICA) w...

Methods used to date for the isolation of DNA from polyacrylamide gels are elution based, time-consuming and with low yield in DNA. This paper describes an improved system employing polyacrylamide gels made of a meltable matrix. The new system was successfully applied to in situ DNA footprinting following gel retardation assays.

Employing the allegorical imagery from the film “The Matrix”, we motivate and discuss our ‘Cyborg Astrobiologist’ research program. In this research program, we are using a wearable computer and video camcorder in order to test and train a computer-vision system to be a fieldgeologist and field-astrobiologist.

This paper studies the problems of global exponential robust stability of high-order hopfield neural networks with time-varying delays. By employing a new Lyapunov-Krasovskii functional and linear matrix inequality, some criteria of global exponential robust stability for the high-order neural networks are established, which are easily verifiable and have a wider adaptive.

The discrete-time delayed neural network with complex-valued linear threshold neurons is considered. By constructing appropriate Lyapunov-Krasovskii functionals and employing linear matrix inequality technique and analysis method, several new delay-dependent criteria for checking the boundedness and global exponential stability are established. Illustrated examples are also given to show the ef...

Due to population growth in urban areas, especially in the capital cities in developing countries, the use of private vehicles are increasing, leading to many problems such as congestion, pollution, noise, long travel time, high travel cost and more side effects. In such circumstances government policy would encourage people to use public transportation. In the meantime, employing the Intellige...