Detecting COVID-19 from medical images is a challenging task that has excited scientists around the world. COVID-19 started in China in 2019, and it is still spreading even now. Chest X-ray and Computed Tomography (CT) scan are the most important imaging techniques for diagnosing COVID-19. All researchers are looking for effective solutions and fast treatment methods for this epidemic. To reduce the need for medical experts, fast and accurate automated detection techniques are introduced. Deep learning convolution neural network (DL-CNN) technologies are showing remarkable results for detecting cases of COVID-19. In this paper, deep feature concatenation (DFC) mechanism is utilized in two different ways. In the first one, DFC links deep features extracted from X-ray and CT scan using a simple proposed CNN. The other way depends on DFC to combine features extracted from either X-ray or CT scan using the proposed CNN architecture and two modern pre-trained CNNs: ResNet and GoogleNet. The DFC mechanism is applied to form a definitive classification descriptor. The proposed CNN architecture consists of three deep layers to overcome the problem of large time consumption. For each image type, the proposed CNN performance is studied using different optimization algorithms and different values for the maximum number of epochs, the learning rate (LR), and mini-batch (M-B) size. Experiments have demonstrated the superiority of the proposed approach compared to other modern and state-of-the-art methodologies in terms of accuracy, precision, recall and f_score.

Abstract-In this paper, a Medium Access Control (MAC) protocol is proposed to investigate Quality of Service (QoS) for multimedia traffic transmitted over Ultra Wide-Band (UWB) networks and increase the system capacity. This enhancement comes from using Wise Algorithm for Link Admission Control (WALAC) which has three suggested versions. The QoS of multimedia transmission is determined in terms of average delay, admission ratio, loss probability, utilization, and the network capacity. In addition, a new parameter is aroused for the network performance. Comparisons between the IEEE 802.15.3a protocol and the proposed one are done. The proposed protocol shows better results in both sparse and dense networks for real time traffic transmission.

No abstract

In Wireless Sensor Networks, the power resources of the nodes are significantly restricted. Hence, a special treatment for their available energy is deeply required. In long distance transmission, Multi-Hop (MH) techniques are preferred. Although MH minimizes the amount of energy cost consumed by each node along the path but finding the optimal routing path between nodes is still very interesting issues. This paper proposes a Balanced and Energy Efficient MH (BEEMH) algorithm that is developed based on Dijkstra algorithm. It gives great interest to the residual energy of nodes; hence higher energy nodes are exclusively elected to work as relays. Moreover, the total energy consumption at both TX and RX has been merged to model the weight of links between nodes. Finally, Dijkstra algorithm is employed to efficiently search for the minimum cost path. Furthermore, two proposed MH protocols are introduced. Both are mainly based on the BEEMH algorithm. MATLAB simulator has been used to evaluate BEEMH in comparison with other conventional algorithms such as; minimum transmission energy (MTE), energy saving oriented least-hop routing algorithm (ESLHA), and energy saving-oriented routing algorithm based on Dijkstra (ESRAD) under various scenarios of network models. Then the performance of our proposed protocols is compared with the related MH protocols.

In machine-to-machine (M2M) networks, the ability to access the radio channel requires a rigid design of a medium access control (MAC) protocol. Here, an optimised hybrid MAC protocol will be proposed which is composed of two main processes, the contending process and the transmission process. During contention process, the devices randomly contend the transmission opportunities with equal probabilities by using the conventional-based slotted ALOHA (S-ALOHA) mechanism. Only successful devices can assign a transmission slot during the transmission process by using the reservation-based time division multiple access mechanism. Additionally, an optimisation problem will be formulated to obtain the maximum aggregated throughput. Moreover, the optimum relation between the contention and transmission periods under different number of devices is calculated. The optimisation problem is solved with the aid of mathematical analysis which is carried out through Monte Carlo simulation. Furthermore, extensive MATLAB programs are executed to study the system performance in terms of: the system throughput, the average packet delay, the success access ratio, and the reservation ratio. The simulation results show that the proposed hybrid technique outperforms other related hybrid when compared.

No abstract

Recently, many routing protocols have been implemented to accomplish progress in the energy consumption field for data collecting wireless sensor networks. Owing to the existence of many drawbacks for employing a static sink, this study utilises the idea of moving the sink node to achieve amelioration in energy utilisation and provide longer network lifetime. The idea of the proposed protocol depends on combining the mobile sink improved energy-efficient power-efficient gathering in sensor information system-based routing protocol (MIEEPB) with the direct transmission (DT) protocol to utilise the limited energy of wireless sensors efficiently. As the motorised movement of the sink is operated by petrol or electricity, the data loss through the transition of this sink from its current location to the next location must be diminished by restricting the moving distance. In the proposed protocol, the mobile sink must spend at least a certain amount of time (sojourn time) at each of its sojourn locations to avoid overhead. Extensive analysis was implemented on the proposed protocol (called MIEEPB-DT) to appraise and compare it with MIEEPB and DT. Simulation results show that the proposed MIEEPB-DT protocol gives better improvement in energy efficiency and network lifetime than both MIEEPB and DT.

No abstract