5 research outputs found

    Wideband Crescent-Shaped Slotted Printed Antenna with Radiant Circular Polarisation

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    Producing a suitable impedance matching between the radiating element and the feedline is the prior hurdle to overcome for a widebandantennawithcircularpolarisation designs. is study presents a novel antennaconsisting ofa defected groundstructure (DGS) and a crescent-slot radiating patch for broad impedance bandwidth. In addition, a narrow rectangular slot was etched on the ground plane for antenna compactness and outcomes improvement. In order to examine the reliability, two different numerical softwares were compared based on the antenna’s basic structure. Apart from this, an equivalent circuit of the proposed prototype is modelled logically using ADS 2016. e numerical results demonstrate that the impedance bandwidth was about 74.6% for<−10dB, while the 3dB axial ratio bandwidth greater than 53% was achieved. In the operational bandwidth of the design, good impedance matching and high efficiency were seen, which shows that this design is appropriate for modern wireless communication systems in ISM and GSM bands

    LOCAL ECONOMY EMPOWERMENT THROUGH THE SUSTAINABLE COFFEE KNOWLEDGE FOR COFFEE PROFESSIONALS IN BURAIDAH, SAUDI ARABIA

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    The crowds of specialty coffee in Saudi Arabia have made this country one of the specialty coffee Meccas in the Middle East. Several national and global events have made Saudi Arabia a country visited by many international coffee professionals and professional coffee workers working in Saudi Arabia. Especially with the 2022 Year of Saudi Coffee, Saudi Arabia has also become a significant player in the coffee value chain in the Middle East, counterbalancing the UAE in its role in the global coffee market. One of the challenges is sustainability in the coffee area in Buraidah, where coffee professionals such as baristas and cup tasters have an essential role in maintaining consistency of presentation skills and customer engagement which are the benchmarks and represent specialty coffee as one of its goals. Therefore, with the curriculum used through the Coffee Skills Program and the Coffee Sustainability Program from the Specialty Coffee Association. The author provides training and counselling to calibrate knowledge in coffee from the skills and behaviour of coffee professionals to achieve sustainability in the coffee value chain area and sustain core business more profound. Moreover, to strengthen the local economy after the Covid-19 pandemic

    Reconfigurable ultra-wideband hexagonal antenna with two notched-band features for wireless applications

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    Owing to the demand for frequency agility, a switchable ultra-wideband (UWB) hexagonal antenna was developed in this study. The proposed antenna features two notch filters introduced by two U-shaped slots on the patch to reduce interference from other wireless networks by rejecting the unique frequency bands. In addition, the proposed antenna comprises a hexagonal radiator attached to a feeding 50 Ω standard microstrip line. To fabricate the antenna prototype, a substrate (Rogers RT/Duroid 5880) with loss tangent and relative permittivity values of 0.0009, and 2.2, respectively, was used. Frequency and pattern reconfigurability were achieved by changing the electrical equivalent circuit of two positive-intrinsic-negative (PIN) diodes sandwiched within two U-shaped slots. The evaluation confirmed that the antenna operated within the D1&amp;D2-ON configuration across the entire UWB range while, effectively filtering the wireless body area network (WBAN) (6.10–6.56 GHz) and radar application (9.16–10.79 GHz) bands when both diodes were OFF. The radiation efficiency and gain reached values of 92.9 % and 7.5 dB, respectively. The proposed design offers a robust performance with enhanced interference rejection. This makes it suitable for modern cognitive radio systems

    Bringing Deep Learning at the Edge of Information-Centric Internet of Things

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    Various Internet solutions take their power processing and analysis from cloud computing services. Internet of Things (IoT) applications started discovering the benefits of computing, processing, and analysis on the device itself aiming to reduce latency for time-critical applications. However, on-device processing is not suitable for resource-constraints IoT devices. Edge computing (EC) came as an alternative solution that tends to move services and computation more closer to consumers, at the edge. In this letter, we study and discuss the applicability of merging deep learning (DL) models, i.e., convolutional neural network (CNN), recurrent neural network (RNN), and reinforcement learning (RL), with IoT and information-centric networking which is a promising future Internet architecture, combined all together with the EC concept. Therefore, a CNN model can be used in the IoT area to exploit reliably data from a complex environment. Moreover, RL and RNN have been recently integrated into IoT, which can be used to take the multi-modality of data in real-time applications into account. 2019 IEEE.Manuscript received August 20, 2018; revised September 29, 2018; accepted October 29, 2018. Date of publication October 15, 2018; date of current version January 8, 2019. The work of S. Luo was supported by the National 242 Project under Grant No. 2017A149. The associate editor coordinating the review of this paper and approving it for publication was O. Popescu. (Corresponding author: Senlin Luo.) H. Khelifi, S. Luo, and B. Nour are with the Beijing Institute of Technology, Beijing 100081, China (e-mail: [email protected]; [email protected]; [email protected]).Scopus2-s2.0-8505501821
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