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A reliable healthcare system ensures that the population has access to top-notch medical ser- vices, ultimately enhancing their overall health most efficiently. At times, data are not secured or handled appropriately. Addressing these concerns, blockchain technology is projected to bring about a substantial revolution in the medical industry by assuring the confidentiality of electronic health…

In this paper, we have developed a gas injection-type prefabricated lifting device based on location tracking to efficiently lift the human body in the event of an accident that occurs underwater on the sea or land. The efficiency of the lifting system is very important to ensure the golden time of the rescue and the…

Mental stress assessment remains riddled with biases caused by subjective reports and individual differences across societal backgrounds. To objectively determine the presence or absence of mental stress, there is a need to move away from the traditional subjective methods of self-report questionnaires and interviews. Previously, it has been evidence that EEG Oscillations can discriminate mental…

In the context of adopting cloud Infrastructure-as-a-Service (IaaS), prospective consumers need to consider a wide array of both business and technical factors associated with the service. The development of an intelligent tool to aid in the assessment of IaaS offerings is highly desirable. However, the creation of such a tool requires a robust foundation of…

Daily life is characterized by a great explosion of abundance of information available on the internet and social media. Smart technology has radically changed our lives, giving a leading role to social media for communication, advertising, information and exchange of opinions. Managing this huge amount of data by humans is an almost impossible task. Adequacy…

An ensemble method is a Machine Learning (ML) algorithm that aggregates the predictions of multiple estimators or models. The purpose of an ensemble module is to provide better predictive performance than any single contributing model. This can be achieved by producing a predictive model with reduced variance using bagging, and bias using boosting. The Tree-Based…

In this work, our contribution will intervene to reduce the impact of noises on the ECG signals. Various ECG denoising approaches were tested to see how efficient they were in removing dominant noises that add to pure ECG signals. Due to different causes such as interference, muscular noise, body movement related to breathing, and so…

Designing efficient control strategies for opinion dynamics is a challenging task. Understanding how individuals change their opinions in social networks is essential to countering malicious actors and fake news and mitigating their effect on the network. In many applications such as marketing design, product launches, etc., corporations often post curated news or feeds on social…

In a challenging and increasingly technological world, it is important to promote critical thinking, multidisciplinary problem solving, and collaboration through STEAM education; however, there are important economic, administrative, and especially pedagogical manage- ment limitations for its implementation at the secondary level. Therefore, this paper presents systematic recommendations for an effective and sustainable implementation of STEAM…

Condition assessment of medium voltage assets is essential to ensure reliability and cost-effective operation of power distribution networks. This article presents a literature review of condition assessment of medium voltage assets related to a distribution system in a non-interconnected zone in Colombia, namely, power transformers, photovoltaic systems, switchgear, lines and cables, and instrument transformers. Advanced…

The increase electricity production based on renewable energies sources responds to the requirements of sustainable development. In recent years, the investment in the wind energy sector has increased to satisfy green electricity generation and environment protection. Wind energy is currently the most competitive energy resource that is part of the world’s countries views on the…

Unmanned aerial vehicles (UAVs) are becoming increasingly popular for both civil and military applications. Unmanned aerial vehicles can be categorized into two categories: rotary-wing and fixed-wing. Due to its capacity to fly long distances and carry substantial payloads, fixed-wing UAVs are gaining popularity and are currently utilized for various tasks. However, when confronted with disturbances…

The human resource development of robotics and automation in the smart factory is an important factor in “Thailand 4.0” roadmap, which is following the industry 4.0 model. To pursue this goal of Thailand 4.0 roadmap of labor development, the effective and intuitive training system must be easy to understand. This study proposes the implementation of…

Early warning systems have had a significant impact on society by providing timely information to mitigate the effects of natural disasters. To enhance early warning capabilities, researchers are exploring the use of digital terrestrial television systems to broadcast alerts across large urban and rural areas. In this research project, the aim is to integrate the…

“Seven ReImagined” is an innovative transmedia storytelling project that reshapes the exploration of the seven deadly sins in a modern context. Building upon the original artwork “Seven”, this venture incorporates traditional media, digital tools, and the latest immersive technologies to cultivate profound user engagement and interaction. The project’s objective is to enhance understanding of timeless…

Recent studies show the benefits of lean manufacturing implementation in agri-food industries to improve operational and environmental performance. However, only a restricted number of studies have addressed the implementation of lean practices in food companies located in developing countries. This study aims to assess the current implementation status of lean practices in Moroccan agri-food companies,…

In this article, we propose a new tutoring strategy to combat school dropout in Morocco. This strategy is based on a collaborative approach involving educational administration and teachers at the national level to ensure equity and equal opportunities for all Moroccan students, on the one hand, and the quality of the training, on the other.…

As a result of rising expectations for quality, the employment of advanced technical requirements for future fifth-generation (5G) new radio is required. The error-correction coding method is one of the most important components of a new generation. The 5G NR New Radio Low-Density Parity Check (LDPC) codes, which have been adopted by the 5G standard,…

Over the past ten years, deep learning models have considerably advanced research in artificial intelligence, particularly in the segmentation of medical images. One of the key benefits of medical picture segmentation is that it allows for a more accurate analysis of anatomical data by separating only pertinent areas. Numerous studies revealed that these models could…

The attributes of the vehicle routing problem (VRP) are as many additional characteristics or constraints which aim to better take into account the specificities of real application cs. The variants of the VRP thus formed are the support of an extremely rich literature, comprising an immense variety of heuristics. This article constitutes an industrial application…

Metal Oxide Semiconductor Field-Effect Transistors are commonly taught in courses for electrical engineers as they are the most common components within integrated circuits. However, despite numerous papers and books on MOSFETs, students still struggle with understanding their behaviour, particularly in the saturation region. This paper presents an expanded explanation of MOSFET behaviour, with a consistent…

Narrow-band Internet of Things (NB-IoT) is a low-power wide-area network (LPWAN) method that was first launched by the 3rd generation partnership project (3GPP) Rel-13 with the purpose of enabling low-cost, low-power, and wide-area cellular connections for the Internet of Things (IoT). As the demand for over-the-air services grows and with the number of linked wireless…

This article presented an overview of the evolution of China’s internet financial industry, emphasizing the critical importance of fintech, a novel economic sector improving the efficiency of financial services through innovative technology applications. The systems referred to encompass those technologies, applications, and tools that enhance the efficiency and accessibility of financial services. The historical trajectory…

The article presents a simulation of obstacle detection based on noise-free optical flow images for motion control of mobile robots. The detection of hazardous areas in optical flow images is accomplished by dividing multiple layers of optical flow vectors into equal parts. Based on the results of calculating the average magnitude of the vectors in…

This article explains the fundamental principles of the economic policy that are integrated into the decentralized public platform Waterfall. The platform has a DAG (Directed Acyclic Graph) based system architecture and is designed to develop decentralized applications and financial services. The main goal of this work is to create a favorable environment that incentivizes positive…