In today’s modern world, reliable automatic personal recognition is a crucial area of discussion, primarily because of the increased security risks. A large number of systems first require the recognition of a person before they can access their services. Biometric recognition can be used, which can be understood as automatic identification or automatic verification of…

Introduction: Burnout is a real malaise that affects the mental health of teachers. The objective is to determine the prevalence of burnout among primary school teachers in the Wazzane region and to look for associated risk factors. Methods: Descriptive cross-sectional study conducted in 2017- 2018 with a sample of 330 teachers. Socio-demographic and work-related data…

Chatbot is an application that is designed to help humans communicate with machines. NLP and API.AI are some of the components that are crucial in making chatbot as they help chatbot in performing chatting operations. Chatbot could be implemented in many aspects of life such as education, social media platforms, games, even in business. Business…

This paper presents an efficient Maximum Power Point Tracking (MPPT) controller for photovoltaic modules. The MPPT technique consists of a combination between backstepping controller and artificial neural network (ANN).The (ANN) has been employed to generate the optimum voltage, which corresponds to the maximum power voltage delivered by photovoltaic modules, while the backstepping controller is developed…

A graphical user interface (GUI) is presented to visualize the multipaths generated by COST 2100 channel model (C2CM) and the results of clustering the wireless propagation multipaths using Modified Simultaneous Clustering and Model Selection (MSCAMSMA). The usual practice of authors is to show their data and results using figures, tables, and graphs which are already…

The performance of Simultaneous Clustering and Model Selection Matrix Affinity (SCAMSMA) and Deep Divergence-Based Clustering (DDC) in clustering wireless mul- tipaths generated by COST 2100 channel model (C2CM) is compared. Enhancing the accuracy of clustering multipaths is an open area of research which the clustering ap- proaches try to improve. Jaccard index is used as…

The paper addresses speeding up meetings in a networked environment during rescue works in a transport emergency. Several groups of representatives of various services and observers participate in those meetings. The number of wrong decisions tends to increase because remote participants cannot understand each other quickly. First, the meetings must be efficiently held to avoid…

The world is facing an unprecedented virus outbreak, COVID-19, hitting more than 200 countries. Governments have been striving to prevent the spread of the virus through the lockdown. During the strict lockdown in Jordan, people needed to stay home, and they used available social networks to keep updated on COVID-19, with Facebook, the most popular…

The fight against poverty in the Peruvian Andes is a complex task in which various professionals, such as engineers, economists, anthropologists, among others, participate. The uncertainty of the decisions taken today, no matter how appropriate they may seem, such as million-dollar investments in irrigation infrastructure, can result in over-production and, therefore, in economic recessions. For…

In this study, an adaptive nonlinear sensorless controller for doubly fed induction generator (DFIG) driven by a wind turbine is proposed. The aim is to maximize the extracted power by tracking the wind turbine optimal torque-speed characteristic without the need for rotor speed measurement. This controller ensures a satisfactory tracking of both stator flux and…

Sign language is a form of communication language designed to link a deaf-mute person to the world. To express an idea it requires the use of hand gestures and body movement. However, the bulk of the general population remain uneducated to understand the sign language. Therefore, a translator is required to facilitate the communication. This…

This paper presents an integrated solution for a fault-tolerant three-phase permanent magnet synchronous motor (PMSM) field-oriented control drive subjected to an open-phase fault (OPF) integrated with effective fault-tolerant detection methodology. The fault detection methodology is based on model predictive current control (MPCC), which is easy to apply, detect OPF in a range of microseconds, and…

A grid is a system that can manage and organize services and resources that spread amongst different control domains, employ interfaces and protocols, and offer a high quality of services. The integration of Multi-Agent Systems (MAS) with a grid environment significantly affects grid performance. MAS is considered a suitable solution for open systems that modify…

Facial emotion recognition is one among many popular and challenging tasks in the field of computer vision. Numerous researches have been conducted on this task and each proposed either standalone- or ensemble-based processing technique. While many researches strive for better accuracy, this research also attempts to increase the processing efficiency of computer correctly classifying human…

Accurate machining control is indispensable for the smart factories of tomorrow. Variations in controller responses may cause unacceptable process deviations during machining leading to productivity losses and possible damage. In the present work, a complex order PIα+jβDγ+jθ(COPID) controller was designed to effectively control surface roughness generation while machining CNT Al-Mg hybrid composites. Performance of the…

Mobile wallet is an application that allows users to make online payments using their mobile phones. In the context of an outbreak of COVID-19 epidemic in Vietnam and the world, mobile wallets are considered having many opportunities to change people’s cash spending habits. The current study assesses the factors impact on the intention to use…

This paper is an extension of work originally presented in PM2.5 Prediction-based Weather Forecast Information and Missingness Challenges: A Case Study Industrial and Metropolis Areas, which focused on imputation algorithm to solve missingness challenge and demonstrated a basic prediction system to prove the proposed algorithm, II-MPA. Distributed and decentralized systems, recently, have been proven for…

Video and its processing are an interesting area as the increase in usage of internet videos, online streaming, CCTV, impact of internet on normal crowd increased. The need to know about video and its processing become an eminent area in research in current era. The paper tries to cover the traditional video processing, the advancement…

Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue .Hence, in this work,…

In order to balance the power in intelligent distribution networks (Smart Grid or Microgrid), it is proposed to organize a «multi operated virtual power plant». The resources of active and reactive power for which can be obtained using an AC voltage controller with a phase-angle control for regulation of operating modes of the ohmic load…

Long-range, Low-Power Wide Area Network (LoRaWAN) is a very scalable solution for the Internet of Things (IoT). Due to the air channel environment’s complexity, connectivity is a crucial parameter for successfully planning and deploying the IoT networks. Measurements and simulations have been used to evaluate LoRaWAN propagation models in the Urban environment, but it is…

In the present paper, a universal approach for determining the maximum flow problem in directed graph for solving different problems is applied. It can be considered as a heuristic and it can be used as a denomination for analyzing an arbitrary system with a mathematical description as a directed graph. The physical nature of the…

This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data. Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in…

Finger skills are achieved through the training process. This training process will be more straightforward if a training system is used. A novel finger motoric training system is introduced in this paper. This system is to facilitate a beginner piano player to learn the basic piano skill. The system is comprised of a tracking finger…

This article presents a literature review on how the COVID-19 pandemic changed the way of managing risks in the supply chains of Mexican SMEs. Research was carried out in the most important scientific research databases. The spread of the pandemic in 2020 has affected public health and the world´s companies, including micro, small and medium…