A comparative study on face recognition techniques and neural network

In modern times, face recognition has become one of the key aspects of computer vision. There are at least two reasons for this trend; the first is the commercial and law enforcement applications, and the second is the availability of feasible technologies after years of research. Due to the very nature of the problem, computer scientists, neuro-scientists and psychologists all share a keen interest in this field. In plain words, it is a computer application for automatically identifying a person from a still image or video frame. One of the ways to accomplish this is by comparing selected features from the image and a facial database. There are hundreds if not thousand factors associated with this. In this paper some of the most common techniques available including applications of neural network in facial recognition are studied and compared with respect to their performance.Comment: 8 page

A slot-loaded reduced-size CPW-fed aperture antenna for UWB applications

The paper presents a co-planar wave guide (CPW)-fed slot loaded low return loss planar printed antenna with a small size designed for wireless communication and UWB applications. First, a conventional UWB antenna is modeled to provide a reference point for the modeling and then the shape is modified by a self inverted configuration to achieve higher bandwidth and size reduction. To improve the gain and efficiency, a combination of corner features and loading slots are introduced. The primary aim throughout the modeling was to achieve the minimum possible value of return loss (S11) below -10 dB over the FCC-defined UWB frequency range. The antenna was designed, simulated and modified using Agilent's Advanced Design System (ADS). It was fabricated on FR4 substrate and measured return loss results are presented

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging

Fine-tuning neural networks is widely used to transfer valuable knowledge from high-resource to low-resource domains. In a standard fine-tuning scheme, source and target problems are trained using the same architecture. Although capable of adapting to new domains, pre-trained units struggle with learning uncommon target-specific patterns. In this paper, we propose to augment the target-network with normalised, weighted and randomly initialised units that beget a better adaptation while maintaining the valuable source knowledge. Our experiments on POS tagging of social media texts (Tweets domain) demonstrate that our method achieves state-of-the-art performances on 3 commonly used datasets

A comparison of CK and Martin's package metric suites in predicting reusability in open source object-oriented software

Packages are units that organize source code in large object-oriented systems. Metrics used at the package granularity level mostly characterize attributes such as complexity, size, cohesion and coupling. Many of these characterized attributes have direct relationships with the quality of the software system being produced. Empirical evidence is required to support the collection of measures for such metrics; hence these metrics are used as early indicators of such important external quality attributes. This research compared the CK and Martin’s package metric suites in order to characterize the package reusability level in object-oriented software. Comparing the package level of metrics suites as they measure an external software quality attribute is supposed to help a developer knows which metric suite can be used to effectively predict the software quality attribute at package level. In this research two open source Java applications, namely; jEdit and BlueJ were used in the evaluation of two package metrics suites, and were compared empirically to predict the package reusability level. The metric measures were also used to compare the effectiveness of the metrics in these package metrics suites in evaluating the reusability at the package granularity level. Thereafter metric measures of each package were normalized to allow for the comparison of the package reusability level among packages within an application. The Bansiya reusability model equation was adapted as a reusability reference quality model in this research work. Correlation analysis was performed to help compare the metrics within package metrics suites. Through the ranking of the package reusability level, results show that the jEdit application has 30% of its packages ranked with a very high reusability level, thus conformed to the Pareto rule (80:20). This means that the jEdit application has packages that are more reusable than packages in the BlueJ application. Empirically, the Martin’s package coupling metric Ce with an r value of 0.68, is ranked as having a positive strong correlation with RL, and this has distinguished the Martin’s package metrics suite as an effective predictor of package reusability level from the CK package metrics suite

Design of Cognitive Radio Database using Terrain Maps and Validated Propagation Models

Cognitive Radio (CR) encompasses a number of technologies which enable adaptive self-programing of systems at different levels to provide more effective use of the increasingly congested radio spectrum. CRs have potential to use spectrum allocated to TV services, which is not used by the primary user (TV), without causing disruptive interference to licensed users by using appropriate propagation modelling in TV White Spaces (TVWS). In this paper we address two related aspects of channel occupancy prediction for cognitive radio. Firstly, we continue to investigate the best propagation model among three propagation models (Extended-Hata, Davidson-Hata and Egli) for use in the TV band, whilst also finding the optimum terrain data resolution to use (1000, 100 or 30 m). We compare modelled results with measurements taken in randomly-selected locations around Hull UK, using the two comparison criteria of implementation time and accuracy, when used for predicting TVWS system performance. Secondly, we describe how such models can be integrated into a database-driven tool for CR channel selection within the TVWS environment by creating a flexible simulation system for creating a TVWS database

A fast method for computing convolutions with structural Green's functions: application to tire/road contact problems

International audienceTire/road contact represents the major source of traffic noise with driving speed above 50 km/h. One of the most important problems is to take into account the contact conditions and to calculate the contact forces in an accurate way. As a general approach, the dynamic response of the tire is calculated by convolving the contact forces with the Green function of the tire. The disadvantage of this method is that the computation can be time consuming. In this paper, an alternative which is a modal decomposition model is used. The developed method allows quicker calculations than the traditional convolution. It consists, at the first stage, on an approximation of the pre-calculated Green function on a series of modal contributions with the Least Square Complex Exponential (LSCE) algorithm then, on the calculation of the dynamic response in the time domain as a series of SDoF systems response. For verification, the approach is tested by using a Single Degree of Freedom (SDoF) oscillator where the system moves through a sinusoidal road profile with a constant speed. Then, it is applied to the Ring on Elastic Foundation (REF) Model

Correlation function and electronic spectral line broadening in relativistic plasmas

The electrons dynamics and the time autocorrelation function Cee(t) for the total electric microfield of the electrons on positive charge impurity embedded in a plasma are considered when the relativistic dynamic of the electrons is taken into account. We have, at first, built the effective potential governing the electrons dynamics. This potential obeys a nonlinear integral equation that we have solved numerically. Regarding the electron broadening of the line in plasma, we have found that when the plasma parameters change, the amplitude of the collision operator changes in the same way as the time integral of Cee(t). The electron-impurity interaction is taken at first time as screened Deutsh interaction and at the second time as Kelbg interaction. Comparisons of all interesting quantities are made with respect to the previous interactions as well as between classical and relativistic dynamics of electrons