this paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. in this method, mammograms are segmented into regions of interest (roi) in order to extract features including geometrical and contourlet coefficients. the extracted features benefit from...

We describe an approach for generating artificial neural network (ANN) models for nonlinear devices, based upon frequency-domain data measured using a nonlinear vector network analyzer (NVNA). We demonstrate that these ANN models give accurate descriptions of the input-output relationships of the device over the span of the measurements. We also use the models to construct application-specific ...

To model nonlinear device behavior at microwave frequencies, accurate large-signal models are required. However, the standard procedure to estimate model parameters is often cumbersome, as it involves several measurement systems (dc, vector network analyzer, etc.). Therefore, we propose a new nonlinear modeling technique, which reduces the complexity of the model generation tremendously and onl...

This paper presents complete network analyzer development for heterogeneous services in a campus environment. The purpose of this study is to define the accuracy of network analyzer development with independent data, real networks and OPNET simulation tools. The tests for network analyzer software are based on traffic and utilization performance. The reliability of this network analyzer will te...

Bio-composites of oil palm empty fruit bunch (OPEFB) fibres and polycaprolactones (PCL) with a thickness of 1 mm were prepared and characterized. The composites produced from these materials are low in density, inexpensive, environmentally friendly, and possess good dielectric characteristics. The magnitudes of the reflection and transmission coefficients of OPEFB fibre-reinforced PCL composite...

Morphology is the process of analyzing the internal structure of words. Grammatical features and properties are used for this analysis. Like other Dravidian languages, Tamil is a highly agglutinative language with a rich morphology. Most of the current morphological analyzers for Tamil mainly use segmentation to deconstruct the word to generate all possible candidates and then either grammar ru...

Radiofrequency (RF) power amplifiers (PAs) are important elements of modern communication systems. The most components in PAs the transistors, which operated under large-signal regimes such applications. Designing and optimizing challenging tasks that demand highest accuracy on measurements at both device circuit levels. Large-signal transistor characterization demands development utilization h...

A packet analyzer is a tool for debugging sensor network systems and is convenient for developers. In this paper, we introduce a new packet analyzer based on an embedded system. The proposed packet analyzer is compatible with IEEE 802.15.4, which is suitable for the wireless communication standard for sensor networks, and is available for remote control by adopting a server-client scheme based ...