The primary purpose of this research is to move a 5-DoF Aideepen ROT3U robotic arm in real-time based on the surface Electromyography (sEMG) signal obtained from wireless Myo gesture armband distinguish seven hand movements. pattern recognition system employed analyze these gestures and consists three main parts: segmentation, feature extraction, classification. Overlap technique chosen for segmenting portion signal. Six-time domain features, namely, Mean Absolute Value (MAV), Waveform...

Electrocardiogram (ECG) is an important physiological signal for cardiac disease diagnosis. With the increasing use of modern electrocardiogram monitoring devices that generate vast amount data requiring huge storage capacity. In order to decrease costs or make ECG signals suitable and ready transmission through common communication channels, datavolume must be reduced. So effective compression method required. This paper presents efficient technique signals. this technique, different...

Applying propagation models with good accuracy is an essential issue for increasing the capacity and improving coverage of cellular communication systems. This work presents algorithm to calculate total diffraction losses multiple obstacles objects using Epstein–Peterson approach. The proposed algorithmic procedure model diffracting can be integrated other mechanisms in ray-tracing prediction received signal level non-line-of-sight environments. interpreted into software application scan...

Automatic detection and classification of cardiac arrhythmias is important for diagnosis abnormality. This paper shows a method to accurately classify ECG through combination slantlet transform artificial neural network (ANN). The ability the decompose signal at various resolutions allows accurate extraction features from non-stationary signals like ECG. low frequency coefficients, which contain maximum information about arrhythmia, were selected decomposition. These coefficients are fed...

Methods of speech recognition have been the subject several studies over past decade. Speech has one most exciting areas signal processing. Mixed transform is a useful tool for processing; it developed its abilities improvement in feature extraction. includes three important stages, preprocessing, extraction, and classification. Recognition accuracy so affected by features extraction stage; therefore different models mixed were proposed. The properties recorded isolated word will be 1-D,...

The design and optimization of cellular communication networks in mountainous hilly areas requires extra caution. main problems are the shadowing resulted from obstruction overshooting excessive elevation base station or mobile. empirical propagation models used for networks, but such do not consider effect fluctuation as they terrain details strictly. site-specific accurate, high complexity time requirement limit their use purposes. This paper proposes a simplified model with good accuracy...

<span lang="EN-US">The fundamental of a downlink massive multiple-input multiple-output (MIMO) energy- issue efficiency strategy is known as minimum mean squared error (MMSE) implementation degrades the performance MIMO energy-efficiency scheme, so some improvements are adding for this precoding scheme to improve its workthat called our proposal solution proposed improved MMSE precoder (PIMP). The energy (EE) study has also taken into mind drastically lowering radiated power while...

The accuracy of the propagation model is very crucial factor for successful wireless network design and optimization. current existing models' depends on environment which being operated, thus deviate from one to another. amount deviation similarity between environments at was developed applied. This paper introduces a simple hybrid coverage prediction rural areas using two models. proposed based layering mechanism similar GIS topographic layers reduce computation overhead time by processing...

The main purpose of this research is to move the robotic arm (5DoF) in real-time, based on surface Electromyography (sEMG) signals, as obtained from wireless Myo gesture armband distinguish seven hand movements. sEMG signals are biomedical that estimate and record electrical produced muscles through their contraction relaxation, representing neuromuscular activities. Therefore, controlling via human using considered be one most significant methods. used forearm. In order analyze these...