http://hdl.handle.net/10366/134486 2026-04-21T06:20:44Z http://hdl.handle.net/10366/156942 This paper presents SYLPH, a novel distributed architecture which integrates a service-oriented approach into Wireless Sensor Networks. One of the characteristics of SYLPH is that it can be executed over multiple wireless devices independently of their microcontroller or the programming language they use. SYLPH works in a distributed way so that most of the application code does not have to reside in a central node. Furthermore, SYLPH allows the interconnection of several networks from different wireless technologies, such as ZigBee or Bluetooth. This paper focuses on describing the main components of SYLPH and the issues that lead to design and develop this new approach. Results and conclusions are presented after evaluating a preliminary version of this architecture 2009-01-01T00:00:00Z http://hdl.handle.net/10366/149872 [EN] Due to the advancement of technology, and the promotion of smart- phones, using social media got more and more popular. Nowadays, it has become an undeniable part of people’s lives. So, they will create a flow of information by the content they share every single moment. Analyzing this information helps us to have a better understanding of users, their needs, their tendencies and classify them into different groups based on their behavior. These behaviors are various and due to some extracted features, it is possible to categorize the users into different categories. In this paper, we are going to focus on Twitter users and the AusOpen Tennis championship event as a case study. We define the attributions describing each class and then extract data and identify features that are more correlated to each type of user and then label user type based on the reasoning model. The results contain 4 groups of users; Verified accounts, Influencers, Regular profiles, and Fake profiles. 2022-01-01T00:00:00Z http://hdl.handle.net/10366/149871 [EN] In this work the notion of linear cellular automata on trees with loops is introduced and the reversibility problem in some particular cases is tackled. The explicit expressions of the inverse cellular automata are computed. 2021-01-01T00:00:00Z http://hdl.handle.net/10366/149867 [EN] The prediction of bankruptcy in companies is a problem that has concerned entrepreneurs, researchers and even governments for years, since detecting early signs that a company is going to enter bankruptcy involuntarily and being able to save it from that process, can help reduce the economic losses that bankruptcy entails, both in quantitative and qualitative terms. To try to avoid bankruptcy, it is very common to analyze the evolution of different financial ratios as it’s been done in this article. 2021-01-01T00:00:00Z http://hdl.handle.net/10366/149866 [EN] Currently our society is experiencing a process of digital transfor- mation worldwide, in 2016 the digital economy accounted for 22.5% of the world economy. The digital transformation has enabled the creation of new business models, the generation of opportunities and the maximization of effi- ciency in traditional companies that have wanted to reconvert their business model towards a new digital environment and the culture of data orientation. This document contains an analysis of how the adoption of digital technologies has a positive influence on the growth of the world economy as a whole, and particularly on the growth of some regions of the world. 2021-01-01T00:00:00Z http://hdl.handle.net/10366/149865 [EN] The economic crisis started in Spain between 2008 and 2009. During the previous years there had been a growth of the Spanish economy above 3% per year, combined with a reduction of the unemployment rate to values close to 8%, the lowest unemployment rate in the last two decades. This situation was seen by analysts and politicians as a perfect situation for the Spanish economy, which did not foreshadow the existence of the crisis that would follow, beyond a minority that warned of a bubble in the real estate sector and a possible slow- down in the economy. This study reviews the ratios and sectors that have suffered most from the consequences of the crisis and describes the need for the implementation of technology as levers to improve the productivity of these sectors. 2021-01-01T00:00:00Z http://hdl.handle.net/10366/149864 [EN] In the different developed societies, the different relationships between the so-called technological indicators and social development have been studied in the recent years. The aim of this work is to find a link between variables of the DESI (digital economy and society index) technology indicator and the GDP (gross domestic product) per capita for the current year. These relationships exist and are directly related to the use of certain services on the Internet by citizens and the integration of technology by companies. 2021-01-01T00:00:00Z http://hdl.handle.net/10366/149863 [EN] Artificial intelligence algorithms, developed for traditional computing, based on Von Neumann’s architecture, are slow and expensive in terms of computational resources. Quantum mechanics has opened up a new world of possibilities within this field, since, thanks to the basic properties of a quantum computer, a great degree of parallelism can be achieved in the execution of the quantum version of machine learning algorithms. In this paper, a study has been carried out on these proper- ties and on the design of their quantum computing versions. More specif- ically, the study has been focused on the quantum version of the k-NN algorithm that allows to understand the fundamentals when transcribing classical machine learning algorithms into its quantum versions. 2020-01-01T00:00:00Z http://hdl.handle.net/10366/149857 [EN] Relationships databases have enjoyed a certain boom in software worlds until now. These days, with the rise of modern applications, unstructured data production, traditional databases do not completely meet the needs of all systems. Regarding these issues, NOSQL databases have been developed and are a good alternative. But security aspects stay behind. Injection attacks are the most serious class of web attacks that are not taken seriously in NoSQL. This paper presents a Neural Network model approach for NoSQL injection. This method attempts to use the best and most effective features to identify an injection. The features used are divided into two categories, the first one based on the content of the request, and the second one independent of the request meta parameters. In order to detect attack payloads features, we work on character level analysis to obtain malicious rate of user inputs. The results demonstrate that our model has detected more attack payloads compare with models that work black list approach in keyword level. 2021-01-01T00:00:00Z http://hdl.handle.net/10366/145818 [EN] Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multi-agent based simulation platforms have proven to be a good option to study the several issues related to these systems. In a smaller scale, a home energy management system would be effective for the both sides of the network. It can reduce the electricity costs of the demand side, and it can assist to relieve the grid congestion in peak times. This paper represents a domestic energy management system as part of a multi-agent system that models the smart home energy system. Our proposed system consists of energy management and predictor systems. This way, homes are able to transact with the local electricity market according to the energy flexibility that is provided by the electric vehicle, and it can manage produced electrical energy of the photovoltaic system inside of the home. 2018-01-11T00:00:00Z http://hdl.handle.net/10366/145815 [EN] The connection of devices in a smart home should be done optimally, this helps save energy and money. Numerous optimization models have been applied, they are based on fuzzy logic, linear programming or bio-inspired algorithms. The aim of this work is to solve an energy management problem in a domestic environment by applying an artificial immune system. We carried out a thorough analysis of the different strategies that optimize a domestic environment system, in order to demonstrate the ability of an artificial immune system to find a successful optima that satisfies the problem constraints. 2018-01-11T00:00:00Z http://hdl.handle.net/10366/145814 [EN] This paper describes a situation in which the function obtained from an analog-to-digital conversion is considered a partially-certain function. In this case it is possible to neglect the least significant bits and therefore redefine them arbitrarily. A realization of proposed method simplifies the further processing of the received signal, and saves hardware consumption at designing and usage of hardware and software systems that include analog-to-digital converters. 2018-01-08T00:00:00Z http://hdl.handle.net/10366/145813 [EN] Wearable technologies have begun to play an important role in the workplace. This paper presents a Smart PPE (Personal Protective Equipment) solution which employs a sensor network located on a helmet and a belt to monitor the state of the worker and the environment. Most of the accidents that occur in the workplace are caused by the lack of prevention measures, poor safety training and obsolete safety systems which do no adapt technologically to the needs of today's work environments. The solutions provided by Industry 4.0 for hazard prevention and propose a wireless PPE model that incorporates intelligent tools and fabrics capable of reacting in real time to a risk situation. This novel model implements continuous risk monitoring biometrics of the worker, detects the external impact, shock, luminosity, gases, temperature of the environment and provides real-time recommendations to workers. The motivation behind this work is to improve health and safety in work sectors with high accident risk. 2020-04-09T00:00:00Z http://hdl.handle.net/10366/145809 [EN] The way in which the Internet of Things and the Web of Things improve everyday objects may seem obvious; elements that make up our daily life are increasingly interconnected and it is becoming more common for us to be surrounded by them. However, the possibilities these technologies offer are not only limited to routinely used objects. By adapting these still emerging technologies, any kind of an object can achieve better performance. They can, for example be applied to research tools, to obtain faster search results and improve the user's experience. The presented work follows these lines; we present a Web-operated machine for the study of the behaviour of certain animals. In addition, the proposed architecture favours the addition of cognitive abilities, due to the inclusion of a Multi-Agent System. 2018-01-11T00:00:00Z http://hdl.handle.net/10366/144152 [EN]This paper describes the research work done in several projects. These projects have a different scope, from the monitoring of a city to the safety of workers in their workplaces. The solutions provided in these projects are focused on custom electronics and IoT technology 2020-01-01T00:00:00Z http://hdl.handle.net/10366/144150 [EN]Modern cryptography – as it was conceived – is under a threat by the development of quantum mechanics applications. The abilities of quantum computers for solving complex mathematical problems, as a strong computational novelty, is the root of that risk. The main challenge is to find commercial exploits of quantum properties and developments, following these directions for both, theoretic and test tube environments. This work proposes a pilot experiment that implements a quantum communication system on a commercial fiber optic network, covering an area of almost 100,000 km2. 2020-01-01T00:00:00Z