<p>This paper presents a simple and fast recognition system with various facial expressions, poses, and rotation. The proposed system performed in two phases. Face detection is the first phase. The front and profile face detected cropped face area from the image by Viola-Jones algorithm and the right side face is detected from the image by taking the flip of the profile image. Principal component analysis (eigenfaces) algorithm is used in the recognition phase and depends on created database models used to be compared with test face image input to the recognition procedure. For training and testing the system, two sets of the image of the file exchange interface (FEI) database have been used to identify the person. The experimental result shows the effectiveness and robustness of the method used for the detection of the face and achieves high accuracy of 96%, which improves the recognition performance with low execution time. Furthermore, the accuracy of 35 trained images for recognition is 97.143% with average time execution which is (0.323657s). Also, the accuracy of 15 tested images for recognition is 93.315% with average time execution which is (0.3348s) which indicates a good and strong success and accuracy method for facial recognition.</p>

A dual-port antenna configuration composed of an ultra-wideband (UWB) sensing antenna and a dual-band reconfigurable communicating antenna is proposed and studied in this paper. The sensing antenna is an elliptical disk radiator covers a frequency range of (1.8-11) GHz. The communicating antenna is a modified dual-band rectangular radiator. By controlling the length of a stub attached to the communicating antenna with the aid of two PIN-diodes, the dual-band antenna can reconfigure its resonant frequencies to (2, 2.2) GHz, (3.25, 3.8) GHz, and (4.3, 5.6) GHz. Both simulated and experimental results for the return loss, mutual coupling, radiation patterns and gain are presented, and they reveal the antenna compatibility with the inter-weave cognitive radio applications.

This article studies a six-bit digital phase shifter and its compatible design through different physiognomies. Furthermore, the communication circuits are applied based on modern knowledge by application. The study started with the initial values of 5.625° as the digital phase shifter is programmed discrete and advanced to a 64-step size. Moreover, the properties of bandwidth are computed by 6.44–10.85 GHz. (C-X band) is related to the phase shifter around the frequency, so the full improvement of 66 dB of the phase shifter is 7 dB. Besides, the phase is changing in array antenna and secondhand in optimal Design. Finally, the study discusses dissimilar kinds of digital phase shifters, to study the parameters that affects the design in future cases.

In this article, a Website for medical healthcare system was designing and developing. It consists of two major sides: client- server side (front end side and back end side). The client-side is everything involved with what the user sees, it has been designed a web using HTML, CSS and JavaScript languages. The server-side is mainly how the site doing modifications and updates which indicates to the entire user can't see everything in the browser such as servers and databases. The web has been implemented and developed using ASP MVC5 and C# programming language. SQL Server languages used for the database part and it make simple ease of use for patients to their health registrations. Consequently, it has simple and straight accessibility through a group of physicians for patient records. The article interested with auspices to the patient appointments combination, billing, timetable, physical, date, and information of medication in single overall system. The results of website designed provide accessibility with easy manner of pertinent information to the management organizations for instance the Medicaid and Medicare. Furthermore, the website reduces the mistake in healthcare, and reduce the cost of delivery of healthcare. Consequently, the website prepared for utilize by nurses, physician, pharmacists and another healthcare professionals, and by patients and monitor patients using medical devices.

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