Figure 1
Source publication
Currently, companies in the industrial sector are focusing their efforts on incorporating the advances contained in the Industry 4.0 model, to continue competing in an increasingly high-tech market. These advances, in addition to productivity, have a remarkable impact on the working environment of workers and on the measures adopted to maintain a h...
Similar publications
Microcapsulses can effectively encapsulate, protect, and control the release of insecticides. In this study, emulsion–solvent evaporation method was used to fabricate microcapsules (MCs) by using beta-cyhalothrin as the entrapped insecticide, dichloromethane as the solvent, polylactic acid (PLA) as the carrier materials, and polyvinyl alcohol as th...
The advance of digitalization in industry is making possible that connected products and processes help people, industrial plants and equipment to be more productive and efficient, and the results for operative processes should impact throughout the economy and the environment.
Connected products and processes generate data that is being seen as a...
Coaxial one-side resistance spot welding (COS-RSW) is a newly developed process for joining metals and composites. In the present study, AL5052 and carbon-fiber-reinforced plastic (CFRP) lap joints were fabricated via COS-RSW. The welding process was modeled numerically using an in-house finite element code called JWRIAN. Single lap shear tests wer...
Citations
... Sensorisation is carried out to collect as much data as possible from the environment and then process it [22]. Once this data has been pre-processed in the hardware using Edge Computing, it is transmitted through the LoRaWAN antennas that forward the information to the Cloud platform. ...
Spain’s agricultural and livestock sector is competitive and powerful on a global scale, especially in relation to fruit and vegetables, pork, wine and olive oil, which are produced and exported in large amounts. The development of the sector and of new technological advances makes it possible to generate innovative solutions adapted to the current needs of the market. Moreover, this helps improve the competitiveness of the producing companies. This paper uses the Internet of Things and Smart Agriculture to develop a weather station prepared for the current and future needs demanded by the sector. Thanks to its ability to transmit information using long-range and low-power consumption (LPWA) protocols such as LoRaWAN and Sigfox, the device can be deployed in remote areas several kilometres away from the nearest access point. One of the most significant values is creating a device capable of drastically reducing energy consumption and the requests for maintenance and replacement of the equipment and working with the most modern data transmission protocols suitable for the Internet of Things and industry 4.0. Likewise, compatibility with 5G networks has been a fundamental requirement to adapt the device to future needs.
Preventive conservation of Underwater Cultural Heritage requires complete knowledge of the environment in which an item/site is located, the materials from which it is made, and the degradation phenomena experienced in the surrounding environment. To understand the different decay phenomena, the first step is to identify the environmental stressors that participate in the deterioration processes. This paper conducts a literature review on the environmental parameters that play a key role in the degradation of Underwater Cultural Heritage. Sites/items suffer from natural degradation and change processes that are physicochemical, geological, and biological, being the leading agents that regulate and influence these processes water, sediment and living organisms. Understanding these agents and processes is needed to comprehend how heritage develops and degrades.KeywordsUnderwater Cultural HeritageDegradationEnvironmental parameters
Since the 1980s, and particularly with the Hopfield model, recurrent neural networks or RNN became a topic of great interest. The first works of neural networks consisted of simple systems of a few neurons that were commonly simulated through analogue electronic circuits. The passage from the equations to the circuits was carried out directly without justification and subsequent formalisation. The present work shows a way to formally obtain the equivalence between an analogue circuit and a neural network and formalizes the connection between both systems. We also show which are the properties that these electrical networks must satisfy. We can have confidence that the representation in terms of circuits is mathematically equivalent to the equations that represent the network.
Conservation of Underwater Cultural Heritage is crucial to preserve society's history. This work proposes a platform based on Internet of Underwater Things technologies and the Edge Computing paradigm. It will incorporate Artificial Intelligence techniques that support the monitoring and management of Underwater Cultural Heritage. These algorithms and models, capable of generating knowledge, will work as a supporting tool for decision-making. The platform will integrate information stored in databases with data acquired in real-time, working independently and in collaboration with other platforms and systems.
Wireless systems have evolved and are becoming increasingly important because of their capacity and flexibility to support new services and technologies such as enhanced mobile broadband (eMBB), massive machine type communications (mMTC), massive internet of things (mIoT) and ultra-reliable low latency communications (URLLC). This paper presents a systematic review of the status of the fifth-generation or 5G wireless system, addresses its physical architecture as well as the service-based architecture. The main elements of network slicing as a different vision of 5G, in response to the need to split the physical network into multiple logical networks to serve various types of services based on different requirements. Software-defined networking (SDN) and network functions virtualization (NFV) are also presented as tools needed for network resource management. The main security challenges of 5G networks are analyzed and possible solutions are discussed. A comparative analysis is presented of 5G versus its 4G predecessor.
Nowadays, communication systems and networks, become an integral part of not only our everyday life but also even in industry, critical infrastructure, business, etc. Current trends and paradigms, such as Internet of Things (IoT), promise improved quality of life, better business opportunities, cost-effective production, and careful operation management via ubiquitous connectivity and effective deployment of smart physical objects. IoT networks capture, gather, process, and transmit a huge amount of security- and privacy-critical data, then becomes them an available option for intruders. Given the fact that IoT networks deal with the fundamental aspects of human lives and critical infrastructures, cybersecurity in such networks is crucially important. The unique characteristics, large scale, and complexity of these networks bring about further vulnerabilities. The goal of this paper is to shed light on the security requirements of the IoT application layer, its threats, and potential countermeasures.
Complex optimization problems are often associated to large search spaces and consequent prohibitive execution times in finding the optimal results. This is especially relevant when dealing with dynamic real problems, such as those in the field of power and energy systems. Solving this type of problems requires new models that are able to find near-optimal solutions in acceptable times, such as metaheuristic optimization algorithms. The performance of these algorithms is, however, hugely dependent on their correct tuning, including their configuration and parametrization. This is an arduous task, usually done through exhaustive experimentation. This paper contributes to overcome this challenge by proposing the application of sequential model algorithm configuration using Bayesian optimization with Gaussian process and Monte Carlo Markov Chain for the automatic configuration of a genetic algorithm. Results from the application of this model to an electricity market participation optimization problem show that the genetic algorithm automatic configuration enables identifying the ideal tuning of the model, reaching better results when compared to a manual configuration, in similar execution times.KeywordsAutomatic algorithm configurationElectricity marketsGenetic algorithmMetaheuristic optimizationPortfolio optimization
Recent advances in wireless communication technologies have led to the rapid development of branches of engineering, such as those related to the Internet of Things (IoT) paradigm. IoT interconnects devices with the intention of adding value or reducing costs in production processes. In turn, many productive sectors are benefiting from the advances being made in this field, including the agricultural sector. The IoT for Low-power wide-area network (LPWA) is a perfect fit for sectors whose environments are remote (and therefore have limited access to the power grid) and whose facilities may be located at long distances from each other. This research therefore proposes, the design of a LoRaWAN communications module as part of a modular architecture, compatible with environmental parameter measuring devices and irrigation system controllers. The purpose of this module is to improve the management of agricultural facilities and, therefore, boost the competitiveness of companies in this sector.KeywordsLPWASmart farmingIoTLoRaWAN
