MATHEMATICAL MODELING OF COMMUNICABLE IMPORTED DISEASES SCREENING IN THE UNITED ARAB EMIRATES

The United Arab Emirates (UAE), as one of the countries with high numbers of expatriates in the world, is expected to face public health challenges. The reason for this situation is that the majority of those expatriates belong to regions where health issues are usually left behind. This may create the possibility of having imported communicable diseases. However, screening policy should be tested and adapted to protect the population from any imported communicable disease. This study aims at identifying an approach and method to deal with these imported diseases via a set of differential equations. The spread of a communicable disease is examined by taking in consideration the nature of the expatriates in the UAE. The population of expatriates is divided into high risk and low risk groups. The study concluded to the possibility of the persistence of the diseases under seven possible scenarios. Each of these scenarios represents the endemic level of the disease. To clarify the case simulations of two types of diseases are examined: HIV and Tuberculosis (TB). Keywords: Basic reproduction number, stability analysis, local sensitivity analysi

ML-Optimized Beam-based Radio Coverage Processing in IEEE 802.11 WLAN Networks

Dynamic Radio Resource Management (RRM) is a major building block of Wireless LAN Controllers (WLC) function in WLAN networks. In a dense and frequently changing WLANs, it maximizes Wireless Devices (WD) opportunity to transmit and guarantees conformance to the design Service Level Agreement (SLA). To achieve this performance, a WLC processes and applies a network-wide optimized radio plan based on data from access points (AP) and upper-layer application services. This coverage processing requires a "realistic" modelization approach of the radio environment and a quick adaptation to frequent changes. In this paper, we build on our Beam-based approach to radio coverage modelization. We propose a new Machine Learning Regression (MLR)-based optimization and compare it to our NURBS-based solution performance, as an alternative. We show that both solutions have very comparable processing times. Nevertheless, our MLR-based solution represents a more significant prediction accuracy enhancement than its alternative

Design of 10 to 12 GHz Low Noise Amplifier for Ultrawideband (UWB) Syste

Balanced amplifier is the structure proposed in this article, it provides better performance. In fact, the single amplifier meets the specification for noise figure and gain but fails to meet the return loss specification due to the large mis-matches on the input & outputs. To overcome this problem one solution is to use balanced amplifier topography. In this paper, a wide-band and highgain microwave balanced amplifier constituted with branch line coupler circuit is proposed. The amplifier is unconditionally stable in the band [9-13] GHz where the gain is about 20dB. The input reflection (S11) and output return loss (S22) at 11 GHz are -33.4dB and -33.5dB respectively

A NURBS-optimized dRRM solution in a mono-channel condition for IEEE 802.11 entreprise Wlan networks

Dynamic radio resource management, RRM, is an essential design block in the functional architecture of any Wifi controller in IEEE 802.11 indoor dense enterprise Wlans. In a mono-channel condition, it helps tackle co-channel interference problem and enrich end-to-end Wifi clients experience. In this work, we present our dRRM solution: WLCx, and demonstrate its performance over related-work and vendor approaches. Our solution is built on a novel and realistic per-Beam coverage representation approach. Unlike the other RRM solutions, WLCx is dynamic: even the calculation system parameters are processed. This processing comes at price in terms of processing time. To overcome this limitation, we constructed and implemented a NURBS surface-based optimization to our RRM solution. Our NURBS optimized WLCx, N-WLCx, solution achieves almost 92.58% time reduction in comparison with basic WLCx. Furthermore, our optimization could easily be extended to enhance others, vendors and research, RRM solutions

Study of the PIFA Antenna for RFID Applications

In this chapter, we did an introduction to radio frequency identification (RFID) technology, to define the different components of this system, then the frequencies of utilization for this application, and finally the advantages and disadvantages of this technology. Then we presented the design and simulation of a planar inverted-F antenna (PIFA) with a T-shaped slot. We studied the effect of changing the type of feed supply, the type of substrate, and the position of the connecting line between the ground plane and the radiating element. We chose the frequency of resonance of the antenna for the RFID applications at 5.8 GHz. The results obtained by the HFSS software are very satisfactory with a very minimal return loss

Microruban Dipole Antenna for RFID Applications at 2.45 GHz

Radio Frequency Identification (RFID) is a technology used mainly to identify tagged items or to track their locations. The most used antennas for RFID application are planar dipoles. For antenna design, it is necessary that the antenna has an impedance value equal to the conjugate of the impedance of the integrated circuit CI. To have a good adaptation allowing the maximum power transfer, there are several techniques. In this work we focus to the adaptation technical T-match which is based on the insertion of a second folded dipole in the center of the first dipole. This technique is modeled by an equivalent circuit to calculate the size of the folded dipole to have new input impedance of the antenna equal to the conjugate of the impedance of the IC. We also look to present a conceptual and technological approach of new topologies of linear dipoles. We proceeded to fold at right angles of the radiating strands in order to explore other topologiesof type  L and Z. The interest of this microstrip folded dipole is their effectiveness to achieve coverage of Blind directions. The results obtained by the platform Ansoft HFSS, allowed us to obtain a quasi-uniform radiation patterns and the reflection coefficients that exceed -37 dB

Selecting cover crop species for vineyards of the Niagara region

Organic viticulture challenges growers to think and act sustainably when managing variables such as weeds, pests, and overall crop production. Ongoing climate change is adding to this challenge with projected increases in extreme weather events such as heavy rainfall and drought. Cover crops can be considered as an ecosystem-based adaptation measure when chosen carefully. They can help growers mitigate effects of climate change as well as increase vineyards biodiversity. Despite their common use, local knowledge of which species work best in what conditions is lacking. Furthermore, species are seldom tested for response to drought and flood conditions in both controlled and operational settings. The first objective of this project was to evaluate the responses of nine different cover crop species to simulated drought and flood conditions under greenhouse-controlled conditions. Of the nine species, Pennisetum glaucum (pearl millet) and Melilotus officinalis (yellow clover) were the only two species to withstand both extreme conditions without being significantly affected. Trifolium alexandrinum (berseem clover), Vicia villosa (hairy vetch), and Trifolium incarnatum (crimson clover) produced higher biomass in saturated condition, while Festuca rubra (red fescue), and Thinopyrum intermedium (pubescent wheatgrass) survived the drought without visual clear symptoms except for puny plants. The second objective was to screen 13 cover crop species in two vineyards under operational settings, where weed pressure, local weather and management may influence species establishment. After the two screening years, Pennisetum glaucum, Trifolium incarnatum, Trifolium repens, Trifolium pratense, Vicia villosa, and Medicago sativa showed promising results in terms of establishment despite facing weather challenges