Design of platforms based on blockchain technology applied to different use cases

[EN]The developments of my PhD in this past year are shown in this article. It is studied thoroughly the possibilities and limits of the blockchain protocols when used in IoT platforms. It is commented how the scalability limits of blockchain technology affects the performance of the systems that make use of it. Also, a review of the state of the art has been carried out, pointing out how some solutions make use of a centralization process to improve response time and security of the blockchain. As future remarks, it should be studying the possibility of creating a public blockchain network with the IoT devices of the platform

Blockchain-based architecture for the control of logistics activities: Pharmaceutical utilities case study

Logistics services involve a wide range of transport operations between distributors and clients. Currently, the large number of intermediaries are a challenge for this sector, as it makes all the processes more complicated. To face that problem, we propose a system that uses smart contracts to remove intermediaries and speed up logistics activities. Our new model combines smart contracts and a multi-agent system in a single platform to improve the current logistics system by increasing organization, security and getting rid of several human intermediaries to automate its processes, making distribution times significantly faster. Also, with this kind of approach, it is possible to apply penalties to parties that do not comply with the terms of using this platform.This work was developed as part of ‘Virtual Ledger Technologies DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla’, ID SA267P18, project cofinanced by Junta Castilla y León, Consejería de Educación and FEDER funds. Also, the research work carried out by Yeray Mezquita is supported by the pre-doctoral fellowship from the University of Salamanca and Banco Santander

Multi-Agent Architecture for Peer-to-Peer Electricity Trading based on Blockchain Technology

The security of smart grids is put at risk due to their automation and remote access features. Blockchain technology can be used as a distributed ledger where data is stored and all the data transactions between the different entities of a smart grid are signed to protect them from such attacks. This paper proposes a multi-agent system (MAS) that combines smart contracts and blockchain to enable Peer-to-Peer electricity trading in a MicroGrid (MG) scenario, without the need for human intervention. The use of blockchain technology helps reduce transaction costs and allows to make micro transactions in the proposed market. Blockchain also improves the security of the platform because all the involved actors can be certain about the authorship of the information produced in the system. Finally, the use of a MAS and the possibility of negotiating between the agents helps obtain an optimal state in the system in which the costs of energy are minimal and the local production of energy is profitable.©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.fi=vertaisarvioitu|en=peerReviewed

A Genetic Programming Strategy to Induce Logical Rules for Clinical Data Analysis

[EN]This paper proposes a machine learning approach dealing with genetic programming to build classifiers through logical rule induction. In this context, we define and test a set of mutation operators across from different clinical datasets to improve the performance of the proposal for each dataset. The use of genetic programming for rule induction has generated interesting results in machine learning problems. Hence, genetic programming represents a flexible and powerful evolutionary technique for automatic generation of classifiers. Since logical rules disclose knowledge from the analyzed data, we use such knowledge to interpret the results and filter the most important features from clinical data as a process of knowledge discovery. The ultimate goal of this proposal is to provide the experts in the data domain with prior knowledge (as a guide) about the structure of the data and the rules found for each class, especially to track dichotomies and inequality. The results reached by our proposal on the involved datasets have been very promising when used in classification tasks and compared with other methods

Hacia un Diseño Flipped-Classroom para Asignaturas de Diseño y Sistemas de Bases De Datos con Perspectiva Multidisciplinar en el Proceso Comunicativo

Memoria ID-2020/005 Ayudas de la Universidad de Salamanca para la innovación docente, curso 2020-2021

El APS y la tercera misión de la Universidad en las asignaturas de edición digital multimedia

Memoria ID2022-101. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2022-2023

El aprendizaje servicio desde la base de la informática

Memoria ID-062 Ayudas de la Universidad de Salamanca para la innovación docente, curso 2020-2021

Plataforma inteligente para la evaluación del rendimiento académico

Memoria ID-086. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2019-2020.[ES]El objetivo principal del proyecto es diseñar una plataforma en la que se pueda observar y medir la evolución del rendimiento académico a partir de datos tanto encuestados como relativos al desarrollo de la asignatura, para la extracción de conclusiones sobre los factores que determinan dicho rendimient

Aplicación móvil para la corrección automática de tests y encuestas con visión artificial

Memoria ID-197. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2018-2019

Blockchain-Based Supply Chain Systems, Interoperability Model in a Pharmaceutical Case Study

The main purpose of supply chain systems based on blockchain technology is to take advantage of technology innovations to ensure that a tracked asset’s audit trail is immutable. However, the challenge lies in tracking the asset among different blockchain-based supply chain systems. The model proposed in this paper has been designed to overcome the identified challenges. Specifically, the proposed model enables: (1) the asset to be tracked among different blockchain-based supply-chain systems; (2) the tracked asset’s supply chain to be cryptographically verified; (3) a tracked asset to be defined in a standardized format; and (4) a tracked asset to be described with several different standardized formats. Thus, the model provides a great advantage in terms of interoperability between different blockchain-driven supply chains over other models in the literature, which will need to replicate the information in each blockchain platform they operate with, while giving flexibility to the platforms that make use of it and maintain the scalability of those logistic platforms. This work aims to examine the application of the proposed model from an operational point of view, in a scenario within the pharmaceutical sector