Francisco José Lacueva

Francisco José Lacueva
Instituto Tecnológico de Aragón · ICT

Master of Technology

About

40
Publications
13,709
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73
Citations
Additional affiliations
May 2004 - present
Instituto Tecnológico de Aragón
Position
  • R&D Software Engineer
May 2004 - May 2016
Instituto Tecnológico de Aragón
Position
  • R&D Software Engineer

Publications

Publications (40)
Conference Paper
Full-text available
This paper presents the work of ITANNOVA Multimedia Division (IMD) in creating low cost training Immersive Virtual Environments (IVE) for our heavy machinery customers. First, we present the background of industrial expectations in the general application of IVEs. Then, we complement these expectations with a state of the art (SoA) of IVEs supporti...
Technical Report
Full-text available
D2.1, Technology Monitoring: Report on Information Needed for the Industrial Challenges Workers with Taxonomy is part of the work in progress of the “FACTorieS for WORKERS” (FACTS4WORKERS) project and specifically of the T2.1 task of WP2. WP2, Worker-centric HCI/HMI Building Blocks, aims to develop (in a co-creation process with shop-floor staff) t...
Conference Paper
Full-text available
Este trabajo presenta las acciones que estamos realizando para crear una herramienta de generación y ejecución de entornos virtuales y simulación altamente inmersivos de bajo coste. El objetivo de la herramienta es que usuarios no expertos (en las tecnologías implicadas) definan entornos de simulación combinando aplicaciones de M&S y dispositivos C...
Chapter
The reduction of plant pest treatments contributes to a more sustainable agriculture. However, to be effective, the application of these treatments must be performed at the correct phenological stage of the plants. In this paper, we present the comparison of physical and ML models to predict the phenological stage of vineyards. The performance of b...
Article
Injection molding is widely used to produce plastic components with large lot size. However, guaranteeing consistency and quality of parts in injection molding is challenging. Failures occur due to variation during injection cycles. Thus, real-time detection of failures will have a high impact on quality and productivity. This paper is focused on S...
Conference Paper
Full-text available
Wine farms have to adapt their activities to achieve sustainable development goals. Our objective is to contribute to this adaptation by developing machine learning models to predict phenology and pest risk with the aim of reducing the application of phytosanitary treatments.
Poster
Full-text available
Wine farms have to adapt their activities to achieve sustainable development goals. Our objective is to contribute to this adaptation by developing machine learning models to predict phenology and pest risk with the aim of reducing the application of phytosanitary treatments.
Article
Full-text available
Wine farms have to adapt their activities to achieve sustainable development goals. Our goal is to contribute to this adaptation by developing Machine Learning models to predict phenology and pest risk with the aim of reducing applied phytosanitary treatments.
Article
The successful introduction of new digital tools on the shop floor and the evaluation of their impacts on workers and their work practices are challenging tasks. Choosing and applying the right evaluation approach, methods, and measures to analyze the impact of digital interventions is a challenging task. To support researchers and practitioners in...
Technical Report
Full-text available
This document is the first version of “D2.2 Architecture Definition”. It takes “D2.1 GRAPEVINE Requirements” as the base for defining GRAPEVINE systems infrastructure. Like D2.1, D2.2 is going to be a life document. Successive versions will be released as fined definition of requirements will be obtained during the implementation of GRAPEVINE proje...
Article
Full-text available
The introduction of innovative digital tools for supporting manufacturing processes has far-reaching effects at an organizational and individual level due to the development of Industry 4.0. The FACTS4WORKERS project funded by H2020, i.e., Worker-Centric Workplaces in Smart Factories, aims to develop user-centered assistance systems in order to dem...
Technical Report
Full-text available
This deliverable is the last report of WP6. It presents the results of four years of work performed by the members of the FACTS4WORKERS consortium. More specifically, this document presents the results of the evaluations of eight prototypes implementing IT worker centred solutions for meeting workers information requirements as defined by the eight...
Technical Report
Full-text available
D2.4, Technology Monitoring: Report on information needed for the Industrial Challenges workers with taxonomy is part of the work in progress of FACTS4WORKERS. T2.1 is an activity of WP2 aiming to highlight the current state of the applicable technologies (both hardware and software) which can be used for implementing Worker Centred Industry 4.0 so...
Preprint
Full-text available
The introduction of innovative digital tools for supporting manufacturing processes has far-reaching effects on an organizational and an individual level due to the development of Industry 4.0. The FACTS4WORKERS project funded by H2020, i.e. Worker-Centric Workplaces in Smart Factories, aims to develop user-centered assistance systems in order to d...
Technical Report
Full-text available
This document represents deliverable 6.3 “Industrial Challenges specific evaluation reports (longitudinal)” of the H2020 project “FACTS4WORKERS - Worker-Centric Workplaces in Smart Factories (FoF 2014/636778). The deliverable builds a deep understanding of the industrial challenges and the workers´ practices in the different use cases studied withi...
Conference Paper
Full-text available
It is well-known that the introduction of innovative digital tools in manufacturing due to Industry 4.0 has far-reaching effects on an organizational and on an individual level. The H2020 funded project FACTS4WORKERS - Worker-Centric Workplaces in Smart Factories - aims to develop user-centered assistance systems in order to demonstrate their impac...
Conference Paper
Full-text available
Successful worker-centered Industry 4.0 solutions depend on the maturity of the technologies supporting workers’ interaction with information systems. This paper discusses the methodology we followed while creating and updating the FACTS4WORKERS approach for monitoring available technologies together with an assessment of their readiness for being...
Conference Paper
Full-text available
The successful introduction of new digital tools and the evaluation of their impacts on the shop floor workers, their skills and work practices are challenging tasks. Research and practice are struggling when it comes to choose and apply the right evaluation approach, methods and measures. In order to contribute to this challenge, we present a stud...
Article
Full-text available
Evaluating how an Information Systems (IS) intervention in the workplace affects daily work and impacts on workers and organizations is a challenge that requires a very broad research approach. IS researchers have derived several models to explain and measure IS success, taking various perspectives and system types into account. This study presents...
Technical Report
Full-text available
D2.3, Technology Monitoring: Report on information needed for workers in the Smart Factory is part of the work in progress of FACTS4WORKERS. T2.1 is an activity of WP2 aiming to highlight the current state of the applicable technologies (both hardware and software) which can be used for implementing Worker Centred Industry 4.0 solutions, which are...
Conference Paper
Full-text available
Resumen: La utilización de deep learning para el análisis del lenguaje natural está siendo una auténtica revolución en este campo. Aunque su calidad está fuera de toda duda, existen un conjunto de técnicas alternativas, con una gran validez cuando el tamaño del corpus de base es pequeño, y donde el uso de técnicas de deep learning no son suficiente...
Conference Paper
Full-text available
This paper presents the evaluation strategy and the first results we obtained when we used the FACTS4WORKERS evaluation framework. The purpose of the framework is to prove whether the project interventions achieve the expected results, which are: improving workers' job satisfaction, increasing innovation and problem solving skills as well as enhanc...
Conference Paper
Full-text available
Evaluating how an Information Systems (IS) intervention in the workplace affects daily work and impacts on workers and organizations is a challenge that requires a very broad research approach. IS researchers have derived several models to explain and measure IS success, taking various perspectives and system types into account. This study presents...
Technical Report
Full-text available
D2.2, Technology Monitoring: Report on information needed for the Industrial Challenges workers with taxonomy is part of the work in progress of “FACTorieS for WORKERS” (FACTS4WORKERS). It is the result of the execution of T2.1 in 2016. T2.1 is an activity of WP2 aiming to highlight the current state of the applicable technologies (both hardware an...
Technical Report
Full-text available
D2.2, Technology Monitoring: Report on information needed for the Industrial Challenges workers with taxonomy is part of the work in progress of “FACTorieS for WORKERS” (FACTS4WORKERS). It is the result of the execution of T2.1 in 2016. T2.1 is an activity of WP2 aiming to highlight the current state of the applicable technologies (both hardware an...
Conference Paper
Full-text available
Workers’ job satisfaction is considered a critical indicator for the effectiveness of socio-technical interventions in the work place. However, job satisfaction represents a complex psychological phenomenon with many contributing factors that can be difficult to assess. To facilitate assessments of job satisfaction we review psychological theories...
Technical Report
Full-text available
This document represents Deliverable 6.1 (“Evaluation Framework”) of the H2020 project “FACTS4WORKERS -Worker-Centric Workplaces in Smart Factories” (FoF 2014/636778). The Evaluation Framework, as main tool used for reaching WP6 goals (to evaluate the impact of the project solutions on the workers), contributes to all other project’s WPs, generatin...
Research
Full-text available
This paper presents the work of ITANNOVA Multimedia Division (IMD) in creating low cost training Immersive Virtual Environments (IVE) for our heavy machinery customers. First, we present the background of industrial expectations in the general application of IVEs. Then, we complement these expectations with a state of the art (SoA) of IVEs supporti...
Conference Paper
Full-text available
En este artículo se experimenta con la utilización de NARS como sistema de descubrimiento de palabras. y frases con contenido de opinión de forma dinámica. This paper use NARS as a way to discover words and sentences for finding dynamic opinion mining.
Conference Paper
Full-text available
Nowadays, high impact technologies are adopted faster and are radically changing the relationship between businesses and consumers. This makes it especially difficult for SMEs to cope with the speed of innovation, and one of the industries that has changed its practices is Tourism. This paper shows the main goal of Semtour is to boost the tourism m...
Conference Paper
SEMTOUR-Studio is a semantic Web Services composition editor developed to allow the population of the SEMTOUR Tourism Web Services Platform (STWSP). On the one side SEMTOUR Studio allows to deploy basic Web Services within the STWSP: already existing services in external systems can be "normalized" (semantically annotated, grounded and BPEL wrapped...
Conference Paper
Full-text available
SEMTOUR-Studio is a semantic Web Services composition editor developed to allow the population of the SEMTOUR Tourism Web Services Platform (STWSP). On the one side SEMTOUR Studio allows to deploy basic Web Services within the STWSP: already existing services in external systems can be " normalized " (semantically annotated, grounded and BPEL wrapp...
Conference Paper
Full-text available
El avance del marketing y las nuevas formas de publicidad en Internet, hace necesario la búsqueda de herramientas y metodologías adecuadas para analizar y medir cuantitativa y cualitativamente de forma semántica el posicionamiento y el impacto de estas nuevas estrategias de marketing. El análisis automático del sentimiento de los textos es una de l...
Article
Full-text available
It is argued that for a computer to be able to interact with humans it needs to have the communication skills of humans. One of the main skills of human computer intelligent interaction is the affective aspect of communication, and language is one of the main ways for humans to express emotions. In order to analyze the emotions in language, it is n...
Conference Paper
This paper introduces a fuzzy-extension of the Kohonen Self Organizing Map model called Fuzzy Growing Hierarchical SOM that is able to extract Fuzzy rules in hierarchical way. The main idea of the FGHSOM is to provide an architecture that can be initialized with prior knowledge and without, and can be trained directly using SOM learning methods. Th...

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Projects

Projects (7)
Project
· Reducing environmental impact by optimizing the use of phytosanitary products on vineyards and increasing biodiversity. · Providing an intelligent decision support tool for grape growers adaptable to other regions. · Improve farms sustainability. This project has received funding from the European Union’s Innovation and Networks Executive Agency – Connecting Europe Facility (CEF) under Grant AGREEMENT No INEA/CEF/ICT/A2018/1837816; Action No 2018-EU-IA-0091.
Project
Reducing environmental impact by optimizing the use of phytosanitary products on vineyards and increasing biodiversity. Providing an intelligent decision support tool for grape growers adaptable to other regions. Improve farms sustainability.
Project
What: Reducing environmental impact by optimizing the use of phytosanitary products on vineyards and increasing biodiversity. Providing an intelligent decision support tool for grape growers adaptable to other regions. Improve farms sustainability. How: Developing physical models of grapevine phenology and plagues. Applying Big Data and Artificial Intelligence (AI) technologies to field data, IOT data and remote sensing data (Copernicus Images) for creating AI models of grapevine phenology and plagues. Validating physical models and AI models by contrasting their results and by comparing their predictions with field data contained by RedFara, Aragonese Phytosanitary Network of Aragón.