This paper proposes a dual band reconfigurable microstrip slotted antenna for supporting the wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX) applications, providing coverage where both directive and omni-directive radiations are needed. The design consists of a feedline, a ground plane with two slots and two gaps between them to provide the switching capability and a 1.6 mm thick flame retardant 4 (FR4) substrate (dielectric constant Ɛ=4.3, loss tangent δ=0.019), modeling an antenna size of 30x35x1.6 mm3. The EM simulation, which was carried out using the connected speech test (CST) studio suite 2017, generated dual wide bands of 40% (2-3 GHz) with -55 dB of S11 and 24% (5.2-6.6 GHz) higher than its predecessors with lower complexity and -60 dB of S11 in addition to the radiation pattern versatility while maintaining lower power consumption. Moreover, the antenna produced omnidirectional radiation patterns with over than 40% bandwith at 2.4 GHz and directional radiation patterns with 24% bandwith at the 5.8 GHz band. Furthermore, a comprehensive review of previously proposed designs has also been made and compared with current work.

<p><span>Animation and virtual reality movie-making technologies are still witnessing significant progress to this day. Building and stimulating virtual characters inside these applications is a goal. Build a 3D face via using some special tools inside the virtual world is the most important part of identifying a 3D animation. Keen Tools Face Builder add-on for Blender. Interested in creating a 3D face of a famous figure, artist or the general public by adopting several 2D images added to the virtual blinder software environment. The main problem facing these tools is that they deal with high-resolution and sharpness pictures because some images that contain blurring, the result is to build a 3D face model that contains design distortions and non- clearly. in this proposed paper, build a data set for 2D pictures of a specific character (actor), at a resolution of 1920 x 1080 pixels. These images were caught by the camera, different in sharpness and blurring (four types of blurry). Using the “Laplacian Filter algorithm” and OpenCV library with Python language, to isolate blurry from sharpness 2D images. Sharpness images used to build a 3D face model that gave real and similar results to the character in the pictures. </span></p>

Recently, it has been discovered there was an emission of microwave radiation in advance of the lightning process. Therefore, a lot of researches focus on designing alarm systems that can detect and analyze these radiated signals. The previous designs based on commercial band-pass filters which have low accuracy factor and quite expensive as well as the detected signal were tiny in amplitude, thus higher efficiency filters are needed with a flat frequency response for passed band frequencies between 950 MHz to 1050 MHz in order to avoid the GSM band which generates a high interference to the mentioned detection system. In this research, a band-pass filter has been designed and tested for measurement with a center frequency of 1 GHz and by using Advance Design System (ADS) to be simulated and then fabricated on FR-4 substrate. The measurement came with good compatibility to the simulation results at return loss of -34.747 dB and also the insertion loss of -3.83 dB. This design also works perfectly for the Lightning detection sensor of Narrow Bipolar Event (NBE).