Prompt (Canada)

Case series adding Intravenous immunoglobulin (IVIG) therapy in steroid refractory ocular myasthenia gravis

In this work, 60 GHz radio wave propagation mea- surements at 40 m underground mine gallery and its statistical modeling are presented. Different antennas such as horn and omnidirectional with horizontal (H) and vertical (V) polarizations employing 0.46 ns time resolution have been considered during the campaign. Results that vertical polarization, a higher number of multipath higher RMS (root mean square) delay spread value horizontal polarization. Statistical modeling of multipath profiles that path arrival follows the modified Poisson distribution while path amplitude satisfies mostly the Lognormal distribution.

Wireless network virtualization is seen as a key component for future 5G networks. Virtualization enables flexible, ondemand, elastic network provisioning. We deem software defined networking (SDN) as a key enabling technology for virtualizing future wireless networks. In this regard, we introduce HetNet cloud, a software- defined cloud infrastructure for heterogeneous virtual wireless networks. As a use case, we implement two virtual network slices and study service differentiation in a HetNet wireless environment. We implement the emulation scenario in Mininet platform using hight level programming abstract of Pyretic northbound API. Emulation results show that, in the HetNet cloud model, virtual wireless networks are able to achieve the quality of service (QoS) requirement of carrier networks while ensuring efficient resource utilization through sharing a common subset of network infrastructure.

A new interference estimation approach is presented for the underlay secondary spectrum sharing paradigm, which will increasingly become a necessity as a result of increasing wireless communication demands. Our scheme is especially designed to deal with very low communication between a smart antennas equipped secondary network and a primary (legacy) wireless network. Since only the primary antennas' coarse probabilistic locations are known by the secondary network, an uncertainty area is considered for each antenna in terms of its intersection with secondary network radio coverage areas. With only few offline communicated coexistence constraints to be respected by both networks, a Monte Carlo simulation is used to statistically establish the coexistence scheme. Although computationally expensive as compared to our previous technique, the one presented in this paper now approaches the theoretical accuracy upper bound for this coexistence context, hence increasing the wireless coexistence worthiness.

We propose a power loading scheme for multicarrier cognitive radio (CR) network employing multiple-input multiple-output (MIMO) antennas.We allocate power to different transmitting antennas within different subcarriers maximizing the total system capacity while maintaining the interference to primary user within a prescribed limit. We formulate this as a convex optimization problem and use numerical methods to solve for optimal power allocation. We also compare the performance of power loading scheme proposed in this paper to conventional uniform power loading scheme with and without interference constraint. Simulation results show that the capacity of MIMO CR using our proposed power loading scheme increases significantly with increase in interference temperature limit and the number of transmit antennas. However, we also confirm that if we include interference constraint in the conventional uniform power loading schemes, the capacity does not increase proportionally with increase in number of transmit antennas as those schemes do not take the instantaneous channel condition between cognitive user transmitter and primary user receiver into account.

The fast and accurate timing acquisition of short ultra-wideband (UWB) pulse shapes and, implicitly, the required high sampling rates play a significant role in UWB receiver-structure design and create challenges for signal acquisition under non-ideal conditions. Furthermore, the pulse shape is seen as one of the key factors influencing the performance of UWB systems. While fulfilling the power-spectral-density emission requirements, the pulse shape must offer the highest detection capabilities with suitable levels of accuracy. In this paper, a fast acquisition system for UWB wireless multiple-access communications is presented. The proposed acquisition system has explicit design characteristics that offer greatly improved acquisition time, accuracy, and implementation cost, while also yielding very satisfactory performance at high noise and multi-user interference levels. In addition, the impact of pulse shapes on the performance of this fast acquisition system is evaluated to determine the most suitable pulse shape for its implementation.

Some index structures have been redesigned to minimize the cache misses and improve their CPU cache performances. The Cache Sensitive B+- Tree and recently developed Cache Sensitive T-Tree are the most well-known cache conscious index structures. Their performance evaluations, however, were made in single core CPU machines. Nowadays even the desktop computers are equipped with multi-core CPU processors. In this paper, we present an experimental performance study to show how cache conscious trees perform on different types of CPU processors that are available in the market these days.

The location of people, mobile terminals and equipment is highly desirable for operational and safety enhancements in the mining industry. In an indoor environment such as a mine, the multipath caused by reflections, diffraction and diffusion on the rough sidewall surfaces, and the non-line of sight (NLOS) due to the blockage of the shortest path between transmitter and receiver are the main sources of range measurement errors. Due to the harsh mining environment, unreliable measurements of location metrics such as RSS, AOA and TOA/TDOA result in the deterioration of the positioning performance. Hence, alternatives to the traditional parametric geolocation techniques have to be considered. In this paper, we present a novel method for mobile station location using wideband channel measurement results applied to an artificial neural network (ANN). The proposed system, the Wide Band Neural Network-Locate (WBNN-Locate), learns off-line the location 'signatures' from the extracted location-dependent features of the measured channel impulse responses data for LOS and NLOS situations. It then matches on-line the observation received from a mobile station against the learned set of 'signatures' to accurately locate its position. The location accuracy of the proposed system, applied in an underground mine, has been found to be 2 meters for 90% and 80% of trained and untrained data, respectively. Moreover, the proposed system may also be applicable to any other indoor situation and particularly in confined environments with characteristics similar to those of a mine (e.g. rough sidewalls surface).

Three dimensional location of a user is highly desirable in indoor environments since it represents an extension to the GPS system where signals can not penetrate the in-building environments. In this paper, we present a method for 3D user location using WLAN's received power (RSS) data applied to an artificial neural network (ANN). The proposed fingerprinting system learns off-line the location RSS 'signatures' for line of sight (LOS), obstructed line of sight (OLOS) and non-line of sight (NLOS) situations. It then matches on-line the observation received from a user against the learned set of 'signatures' to accurately locate its three-dimensional position. The x-y location precision of the proposed system, applied to the three floors of a building simultaneously, has been found to be 3 meters for 78% and 63% of trained and untrained data, respectively. As for the z-axis precision, the proposed system has succeeded to identify the exact floor for 92.5% and 85.5% of trained and untrained patterns, respectively.