At present, optimization algorithms are used extensively. One particular type of such includes random-based heuristic population algorithms, which may be created by modeling scientific phenomena, like, for example, physical processes. The present article proposes a novel algorithm based on Hooke’s law, called the spring search (SSA), aims to solve single-objective constrained problems. In SSA, agents weights joined through springs, which, as law states, possess force that corresponds its...

The 2021 sales volume in the market of service robots is attractive. Expert reports from International Federation Robotics confirm 27 billion USD total share. Moreover, number new startups with denomination nowadays constitutes 29% amount robotic companies recorded United States. Those data, among other similar figures, remark need for formal development area, including knowledge transfer and literature reviews. Furthermore, COVID-19 spread accelerated business units some research groups to...

The paper describes a new curriculum for Engineering Education 4.0 based on the analysis of different references and essential relevant documents that explain necessity to well-formed generation professionals. Considering technological change world is going through, our current social environments generational differences in society focus extraneous declares itself as savior world. university rises agent ensure knowledge development competencies this fourth industrial revolution, which has...

Optimization is a topic that has always been discussed in all different fields of science. One the most effective techniques for solving such problems optimization algorithms. In this paper, new optimizer called Multi-Leader (MLO) developed which multiple leaders guide members population towards optimal answer. MLO mathematically modelled based on process advancing and following leaders. performance examined twenty-three standard objective functions. The results are compared with other eight...

Abstract Learning Analytics is a field that measures, analyses, and reports data about students their contexts to understand/improve learning the place in which it occurs. Educational institutions have different motivations use . Some want improve students' outcomes or optimize educational technology reduce dropout rate others. This concept presented with practical experiences been acquired validated by 16 institutions. Besides, an analysis of results, challenges, expectations was performed....

This paper presents an integrated monitoring system for the driver and vehicle in a single case of study easy to configure replicate. On-board sensors remote are combined model algorithms estimating polluting emissions, fuel consumption, driving style driver's health. The main contribution this is analysis interactions among above monitored features highlighting influence performance vice versa. was carried out experimentally using one with different drivers routes implemented on mobile...

Regular assessments of events taking place around the globe can be a conduit for development new ideas, contributing to research world. In this study, authors present optimization algorithm named doctor and patient (DPO). DPO is designed by simulating process treating patients physician. The treatment has three phases, including vaccination, drug administration, surgery. efficiency proposed in solving problems compared eight other algorithms on benchmark standard test function with 23...

Exoskeletons are an essential part of humankind’s future. The first records regarding the subject were published several decades ago, and field has been expanding ever since. Their developments will be imperative for humans in coming due to our constant pursuit physical enhancement, constraints human body has. principal purpose this article is formalize research exoskeletons introduce more researchers hopes area. can assist and/or aid rehabilitation a person. Recovery mostly used medical...

Current advances in Information Technology have allowed the development of high performance communication systems automatic control applications, as well fidelity manufacturing system simulators. A hybrid proposal that combines virtual and remote laboratories approaches for teaching industrial automation courses is presented. Several competencies skills based on different challenges active learning techniques are promoted. The requires low investment operating costs, addition to being easily...

One of the most powerful tools for solving optimization problems is algorithms (inspired by nature) based on populations. These provide a solution to problem randomly searching in search space. The design’s central idea derived from various natural phenomena, behavior and living conditions organisms, laws physics, etc. A new population-based algorithm called Binary Spring Search Algorithm (BSSA) introduced solve problems. BSSA an simulation famous Hooke’s law (physics) traditional weights...

Nearly half of the world's urban population depends on aquifers for drinking water. These are increasingly vulnerable to pollution and overexploitation. Besides anthropogenic sources, pollutants such as arsenic (As) also geogenic their concentrations have, in some cases, been increased by groundwater pumping. Almost 40 % Mexico's relies water purposes; much semi-arid arid central northern Mexico is contaminated As. agricultural regions where irrigation primarily provided from intenstive...

It is widely recognized that a hands-on laboratory experience useful in control engineering education. Herein, the students overcome main gaps between theoretical knowledge and experimental setups. Nowadays, times of crisis due to COVID-19 pandemic, virtual remote laboratories are emerging as primary educational resources. However, labs, not exposed real life issues (i.e., equipment problems, noise, etc.) while communication connectivity problems arise network security, synchronization...

A magnetorheological damper is evaluated under exhaustive experimental scenarios, generating a complete database. The obtained database includes classical tests and new proposals emphasizing the frequency contents. It also impact of electric current fluctuations. variety performed experiments allows us to study force dynamics. brief description behavior categorization based on driving conditions target applications vehicle dynamics are discussed. identification two models their cross...

This study presents a neuroengineering-based machine learning tool developed to predict students' performance under different modalities. Neuroengineering tools are used the obtained through two modalities: text and video. Electroencephalographic signals were recorded in groups during tasks, was evaluated with tests. The results show video group better than group. A correlation analysis implemented find most relevant features performance, design tool. showed negative between (theta/alpha)...