Introduction: Peripheral Occlusive Arterial Disease (POAD) is an important cardiovascular morbidity especially among diabetics. The goal of the treatment is to improve patients’ quality of life (QoL) starting by quantifying the disease burden in our population especially among high risk group such as diabetics. Materials and Methods: This cross-s

National research simply means a big research which are able to represent a huge population. Research on such scale is always labour intensive and expensive. Survey is the most popular research design adopted for the purpose. However, for any method, serious and meticulous attention must be put during the planning stage. Population must be thorough

High sensitivity C-reactive protein (hs-CRP) levels have been recommended by the Center for Disease Control and Prevention (CDC) and the American Heart Association (AHA) to be part of the global risk prediction assessment for cardiovascular diseases (CVD) in asymptomatic individuals. Hypertension is one of the major risk factors of CVD. It is usual

Supercritical fluid extraction (SFE) has received much interest in the use and further development for industrial application, a method which offers some advantages over the conventional methods, especially for the palm oil industry. Supercritical fluid extraction (SFE) uses carbon dioxide (CO2) as a solvent, denoted as SC-CO2 which is nontoxic, in

Gait analyses are the preliminary requirements to establish a navigation system of a humanoid robot. Designing a suitable indoor environment and its mapping are also important for the android localization, selection of a goal to achieve it and to perform the assigned tasks in its surroundings. This paper delineates the various gaits like walking, t

This paper describes an experiment on Electric Power Steering (EPS) system of a car. Nowadays EPS system can be considered as a Mechatronics system that reduces the amount of steering effort by directly applying the output of an electric motor to the steering system. In this paper, the constitutions, operational mechanism and control strategies of

This paper illustrates the classification of Electromyography (EMG) signals through designing and optimization of artificial neural network. The EMG signals obtained for different kinds of hand movements, which are processed to extract the features. Extracted time and timefrequency based feature sets are used to train the neural network. A back-pro

This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. The ANN models work in parallel thus

system. The performance analysis of artificial neural network based –YcbCr skin recognition and three other techniques is evaluated in this work. Results obtained show that the use of YCbCr color model performs better than RGB colour model and the use of artificial neural network further improves the accuracy of the system. © 2012 The Authors. P

The goal of an ensemble construction with several classifiers is to achieve better generalization than that of a single classifier. And proper diversity among classifiers is considered as the condition for an ensemble construction. This paper investigates synthetic pattern for diversity among classifiers. It alters input feature values of some patt