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In recent days, the fast growth of populations leading to an increase in medically complicated cases, especially fast spread viral cases around the world. These phenomena increased demand on auto-diagnose systems to speed up the diagnosis process and reduce human contacts, especially for the COVID-19 pandemic using deep learning (DL). DL methods can successfully carry…

Early detection and proper management of adult degenerative scoliosis (ADS) are important for health promotion. This study aims to develop an ADS screening tool from markerless digital photography and verify its reliability. The study included 17 participants. Outer canthus–horizontal angle (OHA) and trapezius–horizontal angle (THA) were calculated from the image of the upper body of…

This paper presents a new observer-based method which deals with the extraction of amplitude of characteristic frequencies for the fault diagnosis in permanent magnet synchronous motors (PMSM). First, a pilot survey is made to investigate the typical harmonics in the line currents of PMSM. Second, an appropriate structure of observer is formulated with the input…

Before the COVID-19 crisis, the Southern African Developing Countries (SADC) had a varied energy mix including renewable energy, fossil fuels, and military energy production. The use of fossil fuels in the energy mix is known to be the source of the growing levels of greenhouse gases in the atmosphere. However, there was a reduction in…

Fossil fuel can no longer supply the constantly spiking demands of energy around the world, hence the increasing research on renewable energies as an alternative. The Stirling Engine is an external combustion engine, giving us a wide range of heat sources: solar, nuclear. The Stirling engine makes best of use of solar sources in an…

Haze removal is an extremely challenging task, and object detection in the hazy environment has recently gained much attention due to the popularity of autonomous driving and traffic surveillance. In this work, the authors propose a multiple linear regression haze removal model based on a widely adopted dehazing algorithm named Dark Channel Prior. Training this…

Coordinated MultiPoint (CoMP) has been introduced for LTE-Advanced system to overcome the inter-cell interference problems and enhance the signal quality of cell-edge UEs (User Equipments). With such concept, the overall system performance should be improved considerably to support the significantly increasing amount of demand on data transmission via mobile communication that happens nowadays. Dynamic Point…

In the Internet of Things era it is expected that low-end processor domination of the embedded market will be further reaffirmed. Then, a question will arise, on whether it is possible to enhance performance of such processors without the cost of high-end architectures. In this work we propose a better-than-worst-case (BTWC) methodology which enables the…

Internet of Things provides the support for devices, people and things to collaborate in collecting, analyzing and sharing sensitive information from one device onto the other through the internet. The internet of things is thriving largely due to access, connectivity, artificial intelligence and machine learning approaches that it supports. The stability and enhanced speed of…

The Public Administration is forced to transform itself by taking advantage of the contribution of ICT to in the process of reducing bureaucracy and increase transparency, promoting the dematerialization of processes, increasing the quality of online services, allowing greater ubiquity of access, reducing response times, in the search for improvement of the quality of life…

Fresh water is already scarce in the world, especially in the Middle East (ME). Desalination industry is the main supplier of the potable water to the municipalities in the ME region. It is well known the high cost of a liter of water produced by the desalination process. Unfortunately, car-washing service consumes substantial amount of…

The article suggests four circuit topologies for the practical simulation of grounded and floating lossy inductors. All the suggested circuits use commercially available integrated circuit LT1228 chips as active elements, and only two passive elements, namely one resistor and one capacitor. The first two of the proposed circuits employ only a single LT1228 active element…

This study is a review of the literature on open access (OA), seeking to identify trends in research on the subject. This review was conducted in the SCOPUS database and focused on the following as the main topics: 1. Financial aspects, 2. Repositories, 3. Education, 4. Academic community’s perception of OA resources, 5. Tools, 6.…

Coronavirus pandemic and transition to distance learning have significantly accelerated the introduction of Education 3.0 – 4.0 technologies into traditional educational process. This paper discusses questions of training of IT- specialists in context of Education 4.0. Based on our experience, approaches to the organization of the educational process of IT- students are considered. It is…

Worldwide, the epidemiological situation is constantly changing and with the exponential increase in the number of confirmed coronavirus cases, the number of health care workers has decreased significantly and this is due to the direct and daily contact of patients. One of the major challenges of the last few months is to prevent the spread…

This paper describes a qualitative research design adopted in this study guided by deployment of a Grounded Theory (GT) methodology which was deployed to synthesize literature on technology adoption and digital transformation with an objective of developing theory. The philosophical worldview adopted was interpretivism/constructivist of a qualitative grounded theory inductive (theory building) approach where secondary…

Artificial Intelligence (AI) is a promising trend in ship energy management systems (EMS). The motivations of this work are designing and implementation of an intelligent energy management system for ship’s electric power system based on an adaptive Neuro-Fuzzy Inference System (ANFIS) and the ship power source is an environmental friend system consists of proton exchange…

The design of microelectronic systems is often complex, therefore metaheuristics can be of a great interest, because in most cases these systems have conflicting objectives and constraints. In this paper, we demonstrate the application of multi-criteria design strategies to a CMOS current conveyor. This provides designers with the ability to develop solutions that can meet…

Sustainable urban development and utilization of Internet of Things (IoT) technology is driving cities globally to evolve into Smart Cities (SC). The power of IoT services and applications will enable public agencies to provide personalized services to the citizens and inevitably improves their much-needed quality of life. However, although the use of IoT technology proves…

Today, the costs of most Renewable Energy (RE) technologies especially hydrogen energy technologies such as fuel cells, are still beyond the means of poorer economies in developing countries. Hence, there is little public awareness and local expertise in RE in these countries and even lesser in hydrogen energy. To solve this problem, it is important…

This manuscript intending to publicize the improvements incorporated in the BrcLightning application, including the Risk Analysis module with the help of a pop-up, which provides the result and assists in the identification of mitigating measures by the professional, which must be defined to reduce the calculated risks. Other points addressed in this extension are the…

Solar ultraviolet radiation (UVR) is considered a relevant health risk for the workers of the maritime and port sectors, but scant data are available on actual exposure measured using personal dosimeters. Moreover, in outdoor workers sun protection habits are usually poor, while some promising data suggest that sun-safety campaigns can be effective in increasing self-protection…

Recently, numerous scholars have suggested fuzzy time series (FTS) models to forecast many different fields. One of the vital issues for high accurate forecasting in FTS model is method of partitioning in Universe of discourse (UoD). In this research, we propose a novel FTS model, which is established by using hedge algebra (HA) and particle…

Everyone needs fast response or output against its request or need. Therefore, technologies are used to make the processing fast and accurate according to our needs. But in some situations, still we need to do more. Especially, when we need to process a massive or huge crowd of people in limited time frame such as…

Wireless sensor networks (WSNs) are having large demands in enormous applications for the decade. The main issue in WSNs is estimating the exact location of unknown nodes. All applications are dependent on the location information of unknown nodes in WSNs. Location information of mobile anchor node is used to estimate the location of unknown nodes.…