http://hdl.handle.net/10366/146060 2026-04-29T20:14:47Z 2026-04-29T20:14:47Z Adcaij, Editorial Team http://hdl.handle.net/10366/146069 2025-06-05T12:36:20Z 2020-11-30T00:00:00Z 2020-11-30T00:00:00Z Vergara, Diego Extremera, Jamil Rubio, Manuel Pablo Dávila, Lilian P. http://hdl.handle.net/10366/146067 2025-06-05T12:36:20Z 2020-03-22T00:00:00Z

Since its emergence in the 1960s, the use of virtual reality (VR) has grown progressively. This wide dissemination of VR has allowed its application in an increasing number of disciplines, including education. It is well known that virtual laboratories (VLs), which base their use in VR technology, are very useful tools in both university and professional training. In this article, the main advantages and disadvantages of the use of modern VLs in teaching are analyzed. In addition, the design and development process that must be followed to appropriately create these VLs is described in detail, as well as a small-scale study of the perception that university teachers have about the use of VR in education. Lastly, the reasons why the implementation of VR is not currently as broad as it would be expected, given its proven potential in different fields, are discussed.

2020-03-22T00:00:00Z Márquez Sánchez, Sergio Mora Simón, Sara Pilar Corchado Rodríguez, Juan Manuel Herrera Santos, Jorge Roncero, Ana Olga http://hdl.handle.net/10366/146068 2025-06-05T12:36:20Z 2020-03-31T00:00:00Z

Doll and robot are effective and beneficial non-pharmacological therapies applied in different clinical settings. Doll therapy (DT), principally based in Bowlby's attachment theory, uses an empathy or lifelike baby doll to conduct caring behaviors of it. Robot therapies (RT) use care robots with a friendly attitude and appearance that create emotions and movements that lead to different verbal, motor and emotional reactions. Both DT and RT are person-centred therapies that aim to improve wellbeing of people that suffer from different neurological, psychological and mental health disorders, such as Alzheimer's Disease, autism spectrum disorder, stress or depression, by providing a realistic experience. In this paper, the characteristics of both therapies, their benefits and the possibilities of innovation in the therapeutic field are presented.

2020-03-31T00:00:00Z Costa, Antõnio C R http://hdl.handle.net/10366/146063 2025-06-05T12:36:20Z 2020-04-30T00:00:00Z

This paper introduces formal concepts for the agent-based modeling of slavery systems. The concepts of master-slave economic relationship, slavery-based economic system, slavery-supporting legal system, and slavery-based material agent society are formally defined. A first case study recasts, for material agent societies, North \& Thomas' economic model determining the objective conditions under which it is rational for a society to choose a slavery-based economic system over a free labor-based economic system. A second case study makes use of elements of F. H. Cardoso's study of slavery in the south of Brazil to illustrate the application of the formal concepts introduced in the paper.

2020-04-30T00:00:00Z Hussain, Altaf Hussain, Tariq Ali, Iqtidar Khan, Muhammad Rafiq http://hdl.handle.net/10366/146066 2025-06-05T12:36:20Z 2020-02-21T00:00:00Z

Mobile Ad-hoc Network (MANET) is the most emerging and fast-expanding technology in the last two decades. One of the major issues and challenging areas in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The efficiency and accuracy of a protocol depend on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at the receiver is the responsibility of a propagation model while the mobility of nodes is responsible for the topology of the network. A huge amount of loss in performance is occurred due to the variation of signal strength at the receiver and obstacles between transmissions. In this paper,it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average packet drop average latency and average Throughput. The results predicted that propagation models and mobility have a strong impact on the performance of OLSR in considered scenarios.

2020-02-21T00:00:00Z Venkataraman, Aparna http://hdl.handle.net/10366/146064 2025-06-05T12:36:20Z 2020-02-11T00:00:00Z

This proposed work deals with the real-time implementation of a PI level controller for a nonlinear interacting multi-input multi-output (MIMO) system using YOKOGAWA CENTUM CS 3000 DCS. Some intricate algorithms were chosen to tune the PI controller, presuming the effect of disturbances in a nonlinear interacting MIMO system. Three algorithms; a classical evolution algorithm, genetic algorithm (GA); a metaheuristic optimization algorithm, particle swarm optimization algorithm (PSO); and a robust algorithm, quantitative feedback theory (QFT) were chosen to tune thecontroller offline optimally. These controllers were then implemented in the process using distributed control systems (DCS), and the simulation results resulting from the three algorithms were compared with the experimental results. The impact of the tuning algorithms in the controller performance was studied in real-time.

2020-02-11T00:00:00Z González, Alfonso Schmidt, Walter César http://hdl.handle.net/10366/146065 2025-06-05T12:36:20Z 2020-03-26T00:00:00Z

The advent of the Blockchain together with the appearance of the Ethereum platform gave rise to the realization of Szabo's original idea, allowing the implementation of intelligent contracts. Blockchain by itself is a database with certain special characteristics but the potential that this technology acquires with the implementation of intelligent contracts leads us to the conceptualization of intelligent property, internet of things, artificial intelligence, intelligent cities, tokenization of physical assets and properties. This last concept also triggers the possibility of issuing tokens linked to undertakings with sustainable development objectives or "green tokens". The tokenization of digital goods has developed naturally, but the pitfalls -more mental than legal and technological- are present in the tokenization of physical assets, and we will address them in this paper. Del Castillo Ionov says: "tokenization involves taking an asset and, using blockchain technology, issuing tokens representative of that asset, facilitating its negotiation, the enjoyment of the rights of that asset and its governance". We believe that the tokenization of physical assets will allow a new field of action, marketing, transmission, circulation of rights and wealth, as well as a new range of opportunities not only for all legal operators but also for the great mass of capital investors interested in sustainable development, as well as for the home retail investor.

2020-03-26T00:00:00Z Mena Mamani, Nibeth http://hdl.handle.net/10366/146062 2025-06-05T12:36:20Z 2020-01-27T00:00:00Z

For the last 10 years and after important discoveries such as genomic understanding of the human being, there has been a considerable increase in the interest on research risk prediction models associated with genetic originated diseases through two principal approaches: Polygenic Risk Score and Machine Learning techniques. The aim of this work is the narrative review of the literature on Machine Learning techniques applied to obtaining the polygenic risk score, highlighting the most relevant research and applications at present. The application of these techniques has provided many benefits in the prediction of diseases, it is evident that the challenges of the use and optimization of these two approaches are still being discussed and investigated in order to have a greater precision in the prediction of genetic diseases.

2020-01-27T00:00:00Z Adcaij, Editorial Team http://hdl.handle.net/10366/146061 2025-06-05T12:36:20Z 2020-11-30T00:00:00Z 2020-11-30T00:00:00Z