WEP Library ePoster competition 2019

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  • Poster

    An Overview of Signal Processing Techniques for Terahertz UM-MIMO Systems

    (2019-01-13) Y. Al-Naffouri, Tareq; Sarieddeen, Hadi; Alouini, Mohamed-Slim

    Signal Processing Techniques for Terahertz UM-MIMO Systems •THz communications promise Terabit/second data rates •Recent advancements in electronic, photonic, and plasmonic technologies are closing the gap in THz transceiver design •THz signal generation, modulation, and radiation methods are converging •Channel model, noise, and hardware-impairment notions are emerging •This paves the way to well-grounded research directions on THz-specific signal processing techniques for wireless communications

  • Poster

    Wafer scale quasi single crystalline MoS2 realized by epitaxial phase conversion

    (2019-01-13) Xu, Xiangming; Wang, Zhenwei; Lopatin, Sergei; A. Quevedo-Lopez, Manuel; N. Alshareef, Husam; Department of Materials Science and Engineering, University of Texas at Dallas

    Wafer scale quasi single crystalline MoS2 realized by epitaxial phase conversion Recent Technological Demands: The fabrication of large-scale, single-crystalline, silicon wafers has enabled the modern electronics industry. Wafer-scale, single-crystalline, 2D graphene was first fabricated in 2014 Until Now, wafer scale MoS2 film has been realized, but all with polycrystalline structure, which limit the reliability of MoS2 based integrated circuit device. Develop a new fabrication process for fabricating single crystalline MoS2 film at wafer scale is significant and necessary

  • Poster

    MVApp : Multivariate analysis application for streamlined data analysis and curation

    (2019-01-13) Julkowska, Magdalena; Saade, Stephanie; Agarwal, Gauraw; Gao, Ge; Pailles, Yveline; Morton, Mitchell; Awlia, Mariam; Tester, Mark

    MVApp – Multivariate analysis application for streamlined data analysis and curation

    Mission statement: Enhanced data processing transparency Interactive and reproducible data curation Quick processing of data with/without selected outliers Increased statistical literacy across the scientific community Efficient data processing pipeline for big and small datasets Community involvement for expanding analyses included in MVApp

  • Poster

    Robust H_infinity Pointing Error Control for Free Space Optical Communication in a Controlled Weak Turbulence Condition

    (2019-01-13) Cai, Wenqi; Ndoye, Ibrhima

    Robust H_∞ Pointing Error Control for Free Space Optical Communications in a Controlled Weak Turbulence Condition Wenqi Cai,1 Ibrahima Ndoye,1 Taous-Meriem Laleg 1 Estimation, Modeling and ANalysis group, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia I. MOTIVATION AND OBJECTIVE High requirement for good-alignment Affected by atmospheric turbulence. Objective-minimizing the pointing error: to maintain the center of the optical beam as close as possible to the center of the receiving aperture.

  • Poster

    Wind Resource Assessment and Characterization of Arabian Peninsula with Electrical Generation Estimation for Saudi Arabia

    (2019-01-13) Ilton De Oliveira Filho, Jose; Ombao, Hernando

    Wind Resource Assessment and Characterization of Arabian Peninsula with Electrical Generation Estimation for Saudi Arabia SAUDI Arabia is a fast-growing country, with a stunning increased of Gross Domestic Product (GDP). To sustain this fast-growing rates, Saudi Arabia has continuously expanded its energy power plants. KSA has great potential for Wind Farms, but dust storms can be a major problem as it can increase the maintenance costs drastically. It was used two datasets to this project, the first dataset is from 89 weather stations across Saudi Arabia provided by the National Oceanic and Atmospheric Administration (NOAA) of the Integrated Surface Data (ISD) program. The second is from the weather forecast model produced by the National Centers for Environmental Prediction (NCEP).

    We also utilized the data presented in the work from 1, 2, 3 about the dust storm over middle East. From their work, we analyzed the Shamal wind current that affects Saudi Arabia with sessional dust storms and also the sources of dust in the Arabian Peninsula. The wind turbine generate electricity by transforming the kinectenergy provided by the wind on its blades. The Eolic energy can be observed as the theoretic energy potential of the site, and the power density of the wind can be express as: Where W(vb) is the estimated probability distribution made by Weibull distribution: As the data are acquired at 10m above ground level and the turbines are in different altitudes we used the exponential law for wind to extrapolate the airflow speed〖v〗_h. The annual energy production can be calculated by: The two figures below presents the overall mean direction (left) and wind speed for the Arabian peninsula with spatial resolution of 50km (right). By analyzing the regions with great wind speed average (>4.133m/s) at 10m hub-height above ground level (AGL), proximity to load centers, distance from dust storm path and long-term (>10 years) data available we ended up with two regions, Wejhand Prince Salman Bin Abdulaziz(PSBA) airport regions. The figure on the left shows the wind rose map for Wejh(region 1) and on the right for PSBA (region 2).

    Region2 presents 52.3% more power generation than Region 1 at a hub height of 112 meters. The power that can be generated by this region using only one turbine (16320 MW/a) is capable to power 3547 houses (using for this calculation the same power consumption of a normal house in UK) or 1395 houses (using for this calculation the same power consumption of a normal house in US). As a wind power farm has usually 50turbines, a wind farm installed in Region 2 could power 69750 residences using US standards of consumption. Thus, both regions combined, with a 50 turbine wind farm in each, could power 115540 houses (US standards of consumption). In thiswork we conducted the analyses of the wind pattern over Saudi Arabia with additional work on its surroundings, the Arabian Peninsula. By crossing results with previous works, we have observed that the North East and Central East of the country, despite showing good wind patternsfor this application, as it was presented on works 4-5, are not suitableregions to build wind farms, due to the incidence of sand storms.