Yazar "Sahib, Zubaidah Ali" seçeneğine göre listele

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    Hybrid method using EDMS gabor for shape and texture
    (Institute of Electrical and Electronics Engineers Inc., 2020) Sahib, Zubaidah Ali; Uçan, Osman Nuri; Talab, Mohammed A.; Alnaseeri, Mohanaad T; Mohammed, Alaa Hamid; Sahib, Haneen Ali
    The shape is essential to image formats where the textual image is the best example of the binary image representation. Feature extraction is a fundamental process in pattern recognition. the shape and texture recognition system consists of five major tasks which are involved pre-processing, segmentation, feature extraction, classification and recognition. GENERALLY, less discriminative features in global and local feature approach leads to reduce in recognition rate. By proposing a global and local approach that produces more discriminative features and less dimensionality of data, these problems are overcome. Two feature extraction methods are studied namely Gabor filter and edge direction matrix (EDMS) and combination of two popular feature extraction methods is proposed The proposed method is a combination of Gabor filter and EDMS method which applied to reduce the dimensionality of data. this collaboration aims to make use of the major advantages each one presents, by simultaneously complementing each other, in order to elevate their weak points. By using classifier approaches such as random forest, the proposed combinative descriptor is compared with the state of the art combinative methods based on Gray-Level Co-occurrence matrix and moment invariant on two benchmark dataset MPEG-7 CE-Shape-1, Enghlishfnt. The experiments have shown the superiority of the introduced descriptor over the GLCM moment invariants from the literature. © 2020 IEEE.
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    Öğe
    Network of low energy adaptive clustering protocols
    (Institute of Electrical and Electronics Engineers Inc., 2020) Sahib, Haneen Ali; Kurnaz, Sefer; Mohammed, Alaa Hamid; Sahib, Zubaidah Ali
    The principal challenge facing the researcher in a WSN (Wireless Sensor Network) is the battery life (node power). This article explores the general structure for a WN (Wireless Network) distributed multichip process. Block-based routing protocols such as the Adaptive Low Energy Block Hierarchy (LEACH), the Hybrid Energy Efficiency Protocol (HEEP), the Threshold Responsive Energy Efficiency Network (TEEN), and PEGASIS effectively control energy usage. However, in order to achieve better energy efficiency these procedures need to be closely examined and revised. The article focuses on the LEACH protocol, where the Cluster Head (CH) selection process is called 'round' (r). The setup process costs for each round and Network stable state. Based on the observation of LEACH and its derivatives, the researcher suggests a view focused on the Energy Model (EM). To balance power in the grid, EM is added to both CH and non-CH nodes. © 2020 IEEE.