An Optimal Framework for Alzheimer’s Disease Diagnosis

Alzheimer’s disease(AD)is a kind of progressive dementia that is frequently accompanied by brain shrinkage.With the use of the morpho-logical characteristics of MRI brain scans,this paper proposed a method for diagnosing moderate cognitive impairment(MCI)and AD.The anatom-ical features of 818 subjects were calculated using the FreeSurfer software,and the data were taken from the ADNI dataset.These features were first removed from the dataset after being preprocessed with an age correction algorithm using linear regression to estimate the effects of normal aging.With these preprocessed characteristics,the extreme learning machine served as a classifier for the diagnosis of AD and MCI.For determining accuracy,sensitivity,specificity,and area under the curve,ten-fold cross validation was used.The accuracy of AD diagnosis was 87.62 percent on average after 100 runs,while the area under curve was 94.25 percent.The sensitivity of the MCI diagnosis was 83.88 percent,while the accuracy was 73.38 percent.The age correction can help diagnose MCI more accurately.The outcomes showed that the proposed strategy for diagnosing AD and MCI was more effective than existing methods.

A Novel Beamforming Emulating Photonic Nanojets for Wireless Relay Networks

In this article,a low-cost electromagnetic structure emulating photonic nanojets is utilized to improve the efficiency of wireless relay networks.The spectral element method,due to its high accuracy,is used to verify the efficiency of the proposed structure by solving the associate field distribution.The application of optimal single-relay selection method shows that full diversity gain with low complexity can be achieved.In this paper,the proposed technique using smart relays combines the aforementioned two methods to attain the benefits of both methods by achieving the highest coding and diversity gain and enhances the overall network performance in terms of bit error rate(BER).Moreover,we analytically prove the advantage of using the proposed technique.In our simulations,it can be shown that the proposed technique outperforms the best known state-of-the-art single relay selection technique.Furthermore,the BER expressions obtained from the theoretical analysis are perfectly matched to those obtained from the conducted simulations.

Improved Bi-Directional Three-Phase Single-Relay Selection Technique for Cooperative Wireless Communications

Single-relay selection techniques based on themax-min criterion can achieve the highest bit error rate(BER)performance with full diversity gain as compared to the state-of-the-art single-relay selection techniques.Therefore,in this work,we propose a modified max-min criterion by considering the differences among the close value channels of all relays while selecting the best relay node.The proposed criterion not only enjoys full diversity gain but also offers a significant improvement in the achievable coding gain as compared to the conventional one.Basically,in this article,an improved bi-directional three-phase single-relay selection technique using the decodeand-forward protocol for wireless cooperative communication networks that enhances the overall network performance in terms of BER is proposed and its performance is proved analytically and through Monte-Carlo simulations.More specifically,the proposed criterion is first used to select the best relaynode.After that the selected relay-node forwards the information symbols of the communicating terminals after performing a digital network coding to minimize power consumptions.In our simulations,we show that our proposed technique outperforms the best-known single relay selection techniques.Furthermore,we prove that the BER results obtained from our conducted simulations perfectly match those obtained from the theoretical analysis.

Two-Phase Bidirectional Dual-Relay Selection Strategy for Wireless Relay Networks

In this article,we introduce a new bi-directional dual-relay selection strategy with its bit error rate(BER)performance analysis.During the first step of the proposed strategy,two relays out of a set of N relay-nodes are selected in a way to optimize the system performance in terms of BER,based on the suggested algorithm which checks if the selected relays using the maxmin criterion are the best ones.In the second step,the chosen relay-nodes perform an orthogonal space-time coding scheme using the two-phase relaying protocol to establish a bi-directional communication between the communicating terminals,leading to a significant improvement in the achievable coding and diversity gain.To further improve the overall system performance,the selected relay-nodes apply also a digital network coding scheme.Furthermore,this paper discusses the analytical approximation of the BER performance of the proposed strategy,where we prove that the analytical results match almost perfectly the simulated ones.Finally,our simulation results show that the proposed strategy outperforms the current state-of-the-art ones.

A Beamforming Technique Using Rotman Lens Antenna for Wireless Relay Networks

Rotman lens,which is a radio frequency beam-former that consists of multiple input and multiple output beam ports,can be used in industrial,scientific,and medical applications as a beam steering device.The input ports collect the signals to be propagated through the lens cavity toward the output ports before being transmitted by the antenna arrays to the destination in order to enhance the error performance by optimizing the overall signal to noise ratio(SNR).In this article,a low-cost Rotman lens antenna is designed and deployed to enhance the overall performance of the conventional cooperative communication systems without needing any additional power,extra time or frequency slots.In the suggested system,the smart Rotman lens antennas generate a beam steering in the direction of the destination to maximize the received SNR at the destination by applying the proposed optimal beamforming technique.The suggested optimal beamforming technique enjoys high diversity,as well as,low encoding and decoding complexity.Furthermore,we proved the advantages of our suggested strategy through both theoretical results and simulations using Monte Carlo runs.The Monte Carlo simulations show that the suggested strategy enjoys better error performance compared to the current state-of-the-art distributed multiantenna strategies.In addition,the bit error rate(BER)curves drawn from the analytical results are closely matching to those drawn from our conducted Monte Carlo simulations.