Resultados totales (Incluyendo duplicados): 1446
Encontrada(s) 145 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
Dataset. 2020

INPUT DATA OF A LINEAR PROGRAMMING MODEL FOR THE E-GROCERY ORDER PICKING AND DELIVERY PROBLEM

  • Vazquez-Noguerol, Mar
  • Poler Escoto, Raúl|||0000-0003-4475-6371
  • Comesaña Benavides, José Antonio
  • Prado Prado, Jose Carlos
The dataset contains the input data that has been entered into the mathematical model to develop the case study. The data is provided by the company and the values have been structured according to the indices defined in the model. Input data details have been added to make the model replicable.

Proyecto: //
DOI: Dataset/10251/148730" target="_blank">http://hdl.handle.net/10251/148730, https://dx.doi.org/10.4995/Dataset/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
HANDLE: Dataset/10251/148730" target="_blank">http://hdl.handle.net/10251/148730, https://dx.doi.org/10.4995/Dataset/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
PMID: Dataset/10251/148730" target="_blank">http://hdl.handle.net/10251/148730, https://dx.doi.org/10.4995/Dataset/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
Ver en: Dataset/10251/148730" target="_blank">http://hdl.handle.net/10251/148730, https://dx.doi.org/10.4995/Dataset/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162106
Dataset. 2021

EVOLUTION OF PARTICULATE MATTER CONCENTRATION DEPENDING ON ANIMAL AGE, TIME OF DAY AND ACTIVITY INDEX

EVOLUTION OF DUST AND ANIMAL ACTIVITY IN BROILER PRODUCTION

  • Van den Weghe, Herman
  • Calvet Sanz, Salvador|||0000-0001-6639-9892
[EN] Evolution of particulate matter concentration (measured using TEOM device) depending on animal age, time of day and activity index (measured by direct observation).

Proyecto: //
DOI: Dataset/10251/162106" target="_blank">http://hdl.handle.net/10251/162106, https://dx.doi.org/10.4995/Dataset/10251/162106
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162106
HANDLE: Dataset/10251/162106" target="_blank">http://hdl.handle.net/10251/162106, https://dx.doi.org/10.4995/Dataset/10251/162106
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162106
PMID: Dataset/10251/162106" target="_blank">http://hdl.handle.net/10251/162106, https://dx.doi.org/10.4995/Dataset/10251/162106
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162106
Ver en: Dataset/10251/162106" target="_blank">http://hdl.handle.net/10251/162106, https://dx.doi.org/10.4995/Dataset/10251/162106
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162106

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
Dataset. 2021

RELATIVE IMPORTANCE OF RECALL, PRECISION, F-MEASURE, INFORMEDNESS, AND MARKEDNESS METRICS TO EVALUATE SECURITY TOOLS IN BUSINESS CRITICAL, HEIGHTENED CRITICAL, BEST EFFORT, AND MINIMUM EFFORT SCENARIOS, ACCORDING TO THE DECLARED PREFERENCES AND FAMILIARITY WITH MEASURES OF EXPERTS IN THE DOMAIN

  • Martínez Raga, Miquel|||0000-0001-5601-6990
  • Ruiz García, Juan Carlos|||0000-0001-7678-3513
  • Antunes, Nuno
  • Andrés Martínez, David de|||0000-0002-4744-3795
  • Vieira, Marco
[EN] The benchmarking of security tools is endeavored to determine which tools are more suitable to detect system vulnerabilities or intrusions. The analysis process is usually oversimplified by employing just a single metric out of the large set of those available. Accordingly, the decision may be biased by not considering relevant information provided by neglected metrics. This work proposes a novel approach to take into account several metrics, different scenarios, and the advice of multiple experts. The proposal relies on experts quantifying the relative importance of each pair of metrics towards the requirements of a given scenario. Their judgments are aggregated using group decision making techniques, and pondered according to the familiarity of experts with the metrics and scenario, to compute a set of weights accounting for the relative importance of each metric. Then, weight-based multi-criteria-decision-making techniques can be used to rank the benchmarked tools. This dataset contains raw data obtained from 21 experts, who declared their familiarity with considered metrics and their preference for each metric in the considered scenarios. Processed data include the consistency ratio of resulting pairwise comparison matrices so inconsistent matrices are rejected - weight = 0.00), the relative contribution of each expert according to their declared familiarity with metrics and computed CRs, and the contribution (weight) of each metric towards each considered scenario.

DOI: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
HANDLE: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
PMID: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
Ver en: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
Dataset. 2021

REPRESENTACIÓN GRÁFICA ONDA P - ECG

  • Santiago Praderas, Víctor Manuel|||0000-0001-7765-8300
  • Taroncher Pellicer, Luís
  • Fernández Cisnal, Agustín
[ES] Los datos representan los valores numéricos para la representación de la onda P de un electrocardiograma

Proyecto: //
DOI: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
HANDLE: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
PMID: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
Ver en: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
Dataset. 2021

ENCUESTA ALUMNADO EXPERIENCIA APRENDIZAJE COLABORATIVO ETSA-FBAA

  • Hernández Navarro, Yolanda|||0000-0001-6586-1395
[ES] La presente encuesta evidencia el grado de satisfacción del alumnado partícipe en una experiencia de aprendizaje colaborativo. Para ello, valora el tiempo dedicado y organización de los trabajos dentro del equipo, el fomento del debate y la tutoría entre iguales, la adecuación del trabajo al contenido de la asignatura, segregación y socialización y actuación del profesorado., A todos los participantes

Proyecto: //
DOI: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
HANDLE: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
PMID: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
Ver en: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
Dataset. 2021

MEMBRANE AND MEDIA EFFECT ON NOR ELOX BDD VS CERAMIC ELECTRODES

  • Carrillo Abad, Jordi|||0000-0002-6022-3789
  • Mora Gómez, Julia|||0000-0002-1781-8664
  • García Gabaldón, Montserrat|||0000-0003-4254-6733
  • Mestre, Sergio
  • Pérez Herranz, Valentín|||0000-0002-4010-0888
[EN] This dataset contains the evolution with time of the following measured variables: relative Norfloxacin concentration, relative total organic carbon Concentration and cell potential These variables was obtained for 3 different anodic materials, CuO (ceramic anode with Cupper as sintering aid), BDD and BCE (basic ceramic electrode, based on SnO2 doped with Sb2O3); and two different electrochemical reactors with and without membrane, EMR and OCR, respectively. All the experiments were under an applied current of 400 mA and at room temperature., The authors want to express their gratitude to the Ministerio de Economía y Competitividad (Spain) and the FEDER funds, which financially support the project RTI2018-101341-B-C21.

DOI: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
HANDLE: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
PMID: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
Ver en: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
Dataset. 2021

INFORMATION ON ENERGY EFFICIENCY BY AGE OF CONSTRUCTION OF THE HOUSE

  • Coll Aliaga, Peregrina Eloína|||0000-0001-8938-9216
[EN] Buildings have become a key source of greenhouse gas (GHG) emissions due to the consumption of primary energy, especially when used to achieve thermal comfort conditions. In addition, buildings play a key role for adapting societies to climate change by achieving more energy efficiency. Therefore, buildings have become a key sector to tackle climate change at the local level. However, public decision-makers do not have tools with enough spatial resolution to prioritise and focus the available resources and efforts in an efficient manner. The objective of the research is to develop an innovative methodology based on a geographic information system (GIS) for mapping primary energy consumption and GHG emissions in buildings in cities according to energy efficiency certificates

Proyecto: //
DOI: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
HANDLE: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
PMID: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
Ver en: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
Dataset. 2021

ENCUESTA DE ACTITUDES HACIA LA ESTADÍSTICA EN SECUNDARIA

  • Peiró Signes, Angel|||0000-0002-1549-6972
  • Trull Domínguez, Óscar|||0000-0003-2896-8606
[ES] Esta base de datos utiliza La Encuesta de actitudes hacia la estadística creada por Auzmendi (2009). Los datos se corresponden con los resultados de la encuesta pasados a alumnos de un único instituto de enseñanza secundaria en 3 niveles (4º de la ESO, 1BACH y 2BACH) a alumnos que han estado en contacto con conceptos estadísticos en la asignatura de matemáticas. La encuesta mide 5 dimensiones de las actitudes hacia la estadística. Motivación, confianza, ansiedad, utilidad y satisfacción

Proyecto: //
DOI: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
HANDLE: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
PMID: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
Ver en: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
Dataset. 2021

DATOS SPECTRUM

  • Rodríguez Burruezo, Adrián|||0000-0002-4530-8071
  • Gurrea Ysasi, Gonzalo|||0000-0001-5658-1201
  • Blanca Giménez, Vicente|||0000-0003-3738-6085
  • Fita Fernández, Inmaculada Concepción|||0000-0002-0927-3668
  • Fita Fernández, Ana María|||0000-0002-8637-5852
  • Prohens Tomás, Jaime|||0000-0003-1181-9065
[ES] Los datos se utilizaron para diseñar curvas de temperatura y humedad

Proyecto: //
DOI: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
HANDLE: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
PMID: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
Ver en: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
Dataset. 2019

DATASET TWITTER - 2016 UCI TRACK CYCLING WORLD CHAMPIONSHIPS

  • Lamirán Palomares, José María
  • Baviera Puig, Tomás|||0000-0002-2331-6628
  • Baviera Puig, Maria Amparo|||0000-0002-2258-1155
[EN] Social media platforms have had a significant impact on the public image of sports in recent years. Through the relational dynamics of the communication on these networks, many users have emerged whose opinions can exert a great deal of influence on public conversation online. This research aims to identify the influential Twitter users during the 2016 UCI Track Cycling World Championships using different variables which, in turn, represent different dimensions of influence (popularity, activity and authority). Mathematical variables of the social network analysis and variables provided by Twitter and Google are compared. As a result, no single variable assessed is sufficient to identify the different kinds of influential Twitter users. Having a certain type of account is not enough to make a user an influencer if they do not engage (actively or passively) in the conversation. Choosing some influencers or others will depend on the objectives pursued.

Proyecto: //
DOI: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
HANDLE: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
PMID: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
Ver en: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266

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