Floating point operations are hard to implement on FPGAs because of complexity of their algorithm. On the other hand many scientific problems require floating point arithmetic with high level of accuracy in their calculations. Therefore VHDL programming for IEEE single precision floating point adder in both the concurrent and sequential processing module have been explored. For the processing m...

A high-radix composite algorithm for the computation of the powering function ( ) is presented in this paper. The algorithm consists of a sequence of overlapped operations: (i) digitrecurrence logarithm, (ii) left-to-right carry-free (LRCF) multiplications, and (iii) on-line exponential. A redundant number system is used, and the selection in (i) and (iii) is done by rounding except from the fi...

Most widely-used feature selection methods assume that features are either relevant in the whole instance space or irrelevant throughout. However, it can often be the case that features are relevant only in the context of other features (e.g., feature Y is relevant if feature X = 1, but irrelevant if X = 0). RC is a new feature selection algorithm that takes this into account, by potentially se...

This paper presents a wearable smart ring with an integrated Bluetooth low-energy (BLE) module. The system uses accelerometer and gyroscope to collect fingers’ motion data. A prototype was manufactured, its performance tested. To detect complex finger movements, two rings are worn on the point thumb fingers while performing gestures. Nine pre-defined movements were introduced verify feasibility...

In order to analyse the large numbers of Seyfert galaxy spectra available at present, we are testing new techniques to derive their physical parameters fastly and accurately. We present an experiment on such a new technique to segregate old and young stellar populations in galactic spectra using machine learning methods. We used an ensemble of classifiers, each classifier in the ensemble specia...

Wireless sensors are employed in a wide range of applications. One common feature of most sensor settings is the need to communicate sensed data to some collection point or sink. This communication can be direct (to a mobile collector) or indirect – via other sensors towards a remote sink. In either case, a sensor might not be able to communicate to a sink at will. Instead it collects data and ...

abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...

The use of both linear autoregressive model coefficients and nonlinear measures for classification of EEG signals recorded from healthy subjects and epilepsy patients is investigated. A total of seven nonlinear measures namely the approximate entropy, largest lyapunov exponent, correlation dimension, nonlinear prediction error, hurst exponent, third order autocovariance, asymmetry due to time r...

In this paper, we developed a diagnosis model based on support vector machines (SVM) with a novel hybrid feature selection method to diagnose erythemato-squamous diseases. Our proposed hybrid feature selection method, named improved F -score and Sequential Forward Search (IFSFS), combines the advantages of filter and wrapper methods to select the optimal feature subset from the original feature...