Named Entity Recognition based on a Graph Structure

The identification of indirect relationships between texts from different sources makes the task of text mining useful when the goal is to obtain the most valuable information from a set of texts. That is why in the field of information retrieval the correct recognition of named entities plays an important role when extracting valuable information in large amounts of text. Therefore, it is important to propose techniques that improve the NER classifiers in order to achieve the correct recognition of named entities. In this work, a graph structure for storage and enrichment of named entities is proposed. It makes use of synonyms and domain-specific ontologies in the area of computing. The performance of the proposed structure is measured and compared with other NER classifiers in the experiments carried out

Estimating adaptive setpoint temperatures using weather stations

Reducing both the energy consumption and CO 2 emissions of buildings is nowadays one of the main objectives of society. The use of heating and cooling equipment is among the main causes of energy consumption. Therefore, reducing their consumption guarantees such a goal. In this context, the use of adaptive setpoint temperatures allows such energy consumption to be significantly decreased. However, having reliable data from an external temperature probe is not always possible due to various factors. This research studies the estimation of such temperatures without using external temperature probes. For this purpose, a methodology which consists of collecting data from 10 weather stations of Galicia is carried out, and prediction models (multivariable linear regression (MLR) and multilayer perceptron (MLP)) are applied based on two approaches: (1) using both the setpoint temperature and the mean daily external temperature from the previous day; and (2) using the mean daily external temperature from the previous 7 days. Both prediction models provide adequate performances for approach 1, obtaining accurate results between 1 month (MLR) and 5 months (MLP). However, for approach 2, only the MLP obtained accurate results from the 6th month. This research ensures the continuity of using adaptive setpoint temperatures even in case of possible measurement errors or failures of the external temperature probes.Spanish Ministry of Science, Innovation and Universities 00064742/ITC-20133094Spanish Ministry of Economy, Industry and Competitiveness BIA 2017-85657-

Efficient integral equation formulation for inductive waveguide components with posts touching the waveguide walls

In this paper a surface integral equation technique is employed for the analysis of inductive waveguide problems containing metallic or dielectric objects of arbitrary shape, focusing on the case where these objects are connected to the waveguide walls. Using the extinction theorem, the main problem is split into two problems. In the first one the parallel plate waveguide Green’s functions are used. Because of the choice of these functions, the side of the object touching the waveguide wall is not considered for discretization in a method of moments analysis. The second problem is applied inside the dielectric object, and uses the free space Green’s functions. It is shown that an additional spatial image is needed to impose the proper boundary conditions for the fields on the side touching the waveguide wall in the original problem. Results show the importance of including this additional image in the formulation for the correct behavior of the fields. With the proposed technique, the paper explores some alternatives for designing specific filter responses using dielectric posts inside cavity filters. Comparisons with a commercial finite elements tool demonstrate the accuracy of the proposed integral equation formulation.This work has been developed with support from the Spanish National Project (CICYT) with Ref TEC2004-04313-C02-02/TCM, and the Regional Seneca Project with Ref 02972/PI/05

An approach to the influence of climate change on the seasonal real estate market

[EN] The effects of climate change are becoming more apparent day by day. This is reflected in an increasing global warming that produces changes in the climate in the short and medium term with potential and growing consequences in the behavioral patterns of society.The climate crisis described above may have significant consequences on the vacation dynamics of national and foreign audiences. Effects such as the increase in temperatures, the desertification and erosion of large areas of the territory, or the scarcity of rainfall, reduce or alter the appeal of traditional holiday destinations. The loss of interest in typical tourist areas and the detour of their public to other areas that had never been touristic, cause alterations in the real estate market.Despite the topicality and importance of this subject, the existing bibliography is scarce and scattered. This paper attempts to compile the existing scientific publications on the effect of climate change on real estate investment, as well as the main factors to be considered.García Martínez, F.; Llorca Ponce, A.; Pérez Royo, D. (2023). An approach to the influence of climate change on the seasonal real estate market. Editorial Universitat Politècnica de València. 580-587. https://doi.org/10.4995/VIBRArch2022.2022.1567258058

Analysis of Automatic Annotations of Real Video Surveillance Images

The results of the analysis of the automatic annotations of real video surveillance sequences are presented. The annotations of the frames of surveillance sequences of the parking lot of a university campus are generated. The purpose of the analysis is to evaluate the quality of the descriptions and analyze the correspondence between the semantic content of the images and the corresponding annotation. To perform the tests, a fixed camera was placed in the campus parking lot and video sequences of about 20 minutes were obtained, later each frame was annotated individually and a text repository with all the annotations was formed. It was observed that it is possible to take advantage of the properties of the video to evaluate the performance of the annotator and the example of the crossing of a pedestrian is presented as an example for its analysis

Towards the real estate project. The architect in the new paradigm of real estate investment

[EN] After the financial crisis of 2008, which hit the real estate sector particularly hard, there was a paradigm shift in the real estate investment process. Traditional development was drastically reduced, giving rise to the emergence of other agents. The model of analysis, decision-making and development has been redefined. It is assimilated to other types of more abstract investments, while maintaining a clear local component. A tour of the different investment mechanisms that have burst into the sector is made like venture capital funds, crowdfunding platforms, participatory companies and investors with foreign capital. This paper deals with the question of how external circumstances have an impact depending on the objective of the investment. And another point analyzed is the real estate as a product or the real estate as a tool for the sale of another product (tertiary sector). The aim of this paper is to analyze the position of the architect in the new context of identifying opportunities in the real estate sector. In this new context the architect plays a key role in the investment strategy taking into account what both society and the investors need, and thus participates in all phases of the process.Pérez Royo, D.; Llorca Ponce, A.; García Martínez, F. (2023). Towards the real estate project. The architect in the new paradigm of real estate investment. Editorial Universitat Politècnica de València. 152-161. https://doi.org/10.4995/VIBRArch2022.2022.1559915216

Rate equations approach to simulate world population trends

According to UN statistical data and projections world population will begin to decrease by the middle of this century. This paper uses rate equations (fully analogous to those employed in condensed matter physics) to simulate the time evolution of world population, making use of UN population data in the time interval 1900-2010, and to extrapolate the evolution of world population into the near future. This approach has not been used in economics and population dynamics. The simulation predicts a population decline by midcentury. The economic consequences of population decline would be far reaching