The three-phase power transformer in the transmission or distribution substations represents one of the essential devices on electric power networks. Losing this devise cause a disconnection of the power utility to a large number of electrical loads. The robust protection system must be designed to protect the device during abnormal operations. A complete protection system for a poly-phase power transformer for one of the Karbala transmission networks (East Karbala substation) is modeled and simulated, adopting a fuzzy logic protective relaying using MATLAB/SIMULINK environment. This study discusses fuzzy logic-based relaying for a power transformer safety, as well as internal faults that are clearly identified. Two principles of operation are used to protect the transformer; differential relay and overcurrent relay. The differential relay is proposed as the unit protection, while the overcurrent is backup protection. The proposed fuzzy logic controller (FLC) is used to detect abnormal operation; it is also modeled to organize the operation between unit and backup protection. The numerical results clarify that the proposed model can perform fast, rigorous, and authoritative protection for the transformer. Also, modeling of the protection mode decreases the complexity of designing various subsystem and combining them in one controller.

CCTV camera has become a crucial instrument for crime control and has enhanced the safety of publics. CCTV camera also helps in reducing crime as it can provide visual evidences. Furthermore, CCTV camera is used to monitor highway traffic, to assess the scene of an accident and other public safety purposes. However, due to improper and ineffective guidelines on CCTV camera installation in public area, it is uncertain if there is sufficient coverage by the CCTV camera. Instead of a robust approach, the adequacy of CCTV coverage is often determined based on design experience and trial-and-error. Inadequacy coverage will further limit the efficient combination of control and display equipment, as well as the operators' ability to manage the video surveillance system. This paper proposed a initial framework for 2D risk mapping on a typical urban town. This is to ensure and verify the strategic placement of CCTV camera, providing the utmost and complete coverage within the public areas. The risk mapping is performed in accordance to the risk analysis on the study area. The optimal placement of CCTV camera is determined by analysing the coverage index and adequacy coverage index.

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A nonlinear state observer design with sampled and delayed output measurements for variable speed and external load torque estimations of SPMSM drive system has been addressed, successfully. Sampled output state predictor is re-initialized at each sampling instant and remains continuous between two sampling instants. Throughout this study, a positive constant to satisfy an upper limit of the sampling period between sampling instants and allowable timing delay in terms of observer parameters has been prepared such that the exponential stable of the closed-loop system is guaranteed, based on Lyapunov stability tools. In order to validate the theoretical results introduced by main fundamental theorem to prove the observer convergence, the proposed sampled-data observer is demonstrated through a sample study application to variable speed SPMSM drive system.

Observing people is currently one of the most active application areas in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc [13]. This paper presents the concept of knowledge extraction from single human motion via a fixed camera in an enclosed environment in order to mine some movement attributes. We propose a framework based on five mining tools. The five measurements are extracting pixel coverage of a particular object, time domain, frequency distribution of pixels of interest, distances crossed in each frame and considering the object velocity. We assume that, taking into account the measurements mentioned above will introduce a robust knowledge extraction approach.