This paper presents a non-linear model to simulate and predict the spreading of the newly discovered disease caused by a new series of a Novel Coronavirus (COVID-19). The mathematical modeling in this study is based on the Susceptible Infected Recovery (SIR) model, where key controlling parameters are considered, namely: human contact factor b, transmit factor (a), health medication factor (m) and

Security is currently one of the top concerns in our society. From governmental installations to private companies and medical institutions, they all have to address directly with security issues as: access to restricted information quarantine control, or criminal tracking. As an example, identifying patients is critical in hospitals or geriatrics in order to isolate infected people, which has proven

Landslides are among the many devastating natural calamities that cause damage to life and property. Predicting landslides is an important task to enable preventive measures to be made on time. This paper presents an analysis of univariate time-series forecasting data using an auto regressive integrated moving average (ARIMA) model, a generalized autoregressive conditional heteroskedasticity (GARCH)

Machine learning (ML) uses intelligence-based statistical models to resolve characterization problems. However, the accuracy of ML models decreases as the volume of data increases since they are not able to capture the diversity and important regularities accompanying the huge volume. In this regard, the statistical mechanics’ (SM) paradigm for ML models must be investigated. SM like Big Data also

The last few years have witnessed a rapid increase in the number of cyber-attacks on governments and organizations. To combat these attacks, a number of works have developed mathematical models that attempt to capture the behavior of attackers. However, these works focus on the process of the attack rather than the behavior of the attacker, which hinders the effectiveness of these models. On the other

This article presents the development of a Generic Object Oriented Substation Event (GOOSE) message traffic prediction system using a Nonlinear Autoregressive Model with Exogenous Input (NARX) input. An Artificial Neural Network was adopted to detect Distributed Denial-of-Service (DDoS) attacks in networks using the IEC-61850 protocol. The system uses the OpenFlow protocol to split the multicast groups

Lack of reliable and affordable mechanisms to communicate with the shore is one of the critical problems faced by fishermen engaged in deep-sea fishing. Offshore Communication Network (OCN) is an attempt to solve this issue by providing wireless internet over the ocean among a network of fishing vessels. A key challenge in OCN is the effective connectivity maintenance and restoration among nodes, due

Wireless Sensor Networks grow rapidly due to the sensing and scanning capabilities of nodes. The sensors are capable to move randomly and send periodic reports, hence they must be processed efficiently. This requirement increases the indexing burden, in particular, indexing the mobile sensors’ data. The grid-based indexing techniques in random mobile sensors suffer from high dependability on packet

In this study, a novel single-stage bridgeless single-ended primary-inductor converter (SEPIC) model is designed to perform effective power factor correction while driving brushless direct current (BLDC) motors. The traditional SEPIC converter model produces a non-pulsating input current that operates with both conductors in a continuous-conduction mode(CCM). However, the proposed SEPIC converter is

Integrated circuits (ICs) employ static and dynamic logic to improve performance and scalability. This paper presents a new circuit design approach named pseudo-dynamic logic (PDL), which shows the advantages of both static and dynamic cells. The PDL is evaluated by using a new full adder cell with 18 transistors. In the presented full adder, gate diffusion input (GDI), transmission gate (TG), and

This paper aims to propose an Artificial Neural Network (ANN) model for voltage prediction in cable sheath of combined overhead-cable line under lightning condition. To this end, the effect of different parameters, including tower footing resistance, sheath ground resistance, a kind of ground connection of sheath on the maximum induced voltage of cable sheath in 132 kV combined line are investigated

Wireless sensor networks consist of sensor nodes that can sense the environment and forward the sensed data to the destination. It takes multiple hops for the data to get transmitted from the source to the destination node. Mobile Data Patron is a high energy mobile data collector that collects data from the sensors within sparse networks. In sparse networks, the sensors detect the physical phenomenon

In order to solve the unmanned underwater vehicle two-dimensional autonomous path planning problem in the environment affected by ocean current and obstacles, this paper applies the improved Fireworks-Ant Colony Hybrid Algorithm to solve it. Firstly, a two-dimensional Lamb vortex ocean current environment model with randomly distributed obstacles is established, and the circular obstacle is equivalent

The Spectrum Channel Noise is a pseudorandom or random computational process in a manner that allows the security competence of the available spectrum management frameworks for cognitive radio networks. To mitigate the cognitive spectrum and its security issues, we recommend a central primary spectrum organization structure that is dynamically balanced, and that applies the Primary Key Cryptosystem

How to use the resources of the edge cloud more reasonably, reduce the energy consumption of machine equipment and ensure the shortest time for task completion are the challenges faced in cloud robot computation offloading research. In this paper, multiple heterogeneous cloud robot computing offloading problems are converted into game-type problems, and the computation-intensive tasks are divided to

The accessibility of accurate location information for operators in mission-critical scenarios would considerably increase their mission success. In order to obtain precise location information, numerous algorithms and technologies have been suggested. These methods and systems show varying performances under different conditions, and with the help of machine learning techniques, their reliability

Radio-over-Free-Space Optics (RoFSO) is a key technology for providing high-speed communication links in rural areas. In this work, an orthogonal frequency division multiplexing based RoFSO transmission link has been designed by adopting hybrid wavelength division multiplexing (WDM), mode division multiplexing (MDM) and multibeam technique. The proposed link is investigated under heavy fog weather

Security in Vehicular Sensor Networks (VSNs) is a critical subject that must be addressed in the emerging Intelligent Transport Systems (ITS). Users share confidential information that can be used against them by attackers. Popular attacks include Malwares and Spams, Black Holes, Wormholes, and Physical/Electronic Outages. Such VSN attacks can lead to loss of life due to road accidents and breach of

This paper demonstrates the feasibility of using a new complementary controlling structure for decreasing the in-series-equipment power loss. While keeping the main duties of a grid-tied inverter, unbalanced three phase loads are compensated using this complementary current controller feature. A high-pass filter is employed on both direct and quadrature axes in the common Park reference frame for this

Urban images usually contain buildings, pedestrians, vehicles, roads, and other complex objects. Due to this high complexity, object detection and classification of urban images is a challenging task. In this paper, a novel convolutional neural network named complex background classification network (CBCNet) is proposed for urban image classification. Unlike the existing image classification and object

Internet Protocol version 6 (IPv6) over low power wireless personal area networks (6LoWPANs) forms a majority of traffic share in Internet of things (IoT) where quality of service (QoS) becomes obligatory for multitude of sensor inputs. 6LoWPANs are interference prone due to the fact that the data link and physical layers utilize the IEEE 802.15.4 standard for communication. Interference in 6LoWPANs

Due to technological advancement and deployment of handheld devices, mobile computing devices have gained the user attention to save resource usage, service access, and application use. In practice, it can be deployed widely to experience massive data storage and less computation cost. However, wireless channel access is vulnerable and insecure to prevent various potential attacks such as replay, redirection

This paper deals with the robust control of robot manipulators by presenting a novel voltage-based control approach. For this purpose, an Extended State Observer (ESO) is utilized to estimate the dynamical behaver of the system without any need to use the equations of motion including robot dynamics, actuator dynamics and their parameters in the proposed method. Convergence analysis proves that the

The Internet of Energy (IoE) transforms energy production, supply, and consumption to fulfill high energy demands via intelligent automation of industrial energy producers and consumers. This paper emphasizes the concept of the IoE in the Industrial Internet of Things (IIoT) perspective in order to ensure productivity, control, reduced cost, real-time decision making and monitoring, customer satisfaction