The Effects of Music Genre on Cycling Performance and Perceived Exertion

Many people claim that music enhances their exercise experience. To our knowledge, no studies have analyzed the effect of music genre on exercise performance and perceived effort. Purpose: The purpose of this study was to analyze the effect of music genre on effort as well as perceived exertion while exercising. Methods: Eighteen untrained individuals, age 18-22, participated in this study. Participants performed two 25-minute exercise trials on a Monark bicycle ergometer. Participants were randomized to a music genre (either hip-hop, country or classical) and to condition (music or no music). Rating of perceived exertion (RPE), heart rate (HR), and resistance were recorded for the first ten minutes, while the same three measures and total calories burned were recorded for the final fifteen. Results: No significant difference was found in RPE between music and no music (p=0.477). The results of the Tukey post-hoc showed a significant increase in caloric expenditure between country music and hip-hop music (p=.008). There were no differences in RPE (F2,17=1.45, p=0.265) and music preference (F2,17=3.21, p=0.069) across genre. Conclusion: Based on these results, exercise performance and perceived effort were similar with or without music. When examining the effects of music genre, listening to country music increased caloric expenditure when compared to hip-hop music

Collectivism And Religious Affiliation As Predictors Of The Multidimensional Measure Of Leader-Member Exchange (LMX-MDM)

Drawing upon the existing literature, this study investigated the relationship between collectivism and religious affiliation with the four Leader-Member Exchange (LMX) dimensions of Contribution, Loyalty, Affect, and Professional Respect.  In this study of 300 adults, a significant positive relationship was found between the Multidimensional Measure of Leader-Member Exchange with collectivism and religious affiliation.  With regard to the dimension of Contribution, collectivism and religious affiliation were both found to be strong predictors.  With respect to Loyalty; collectivism and age helped to increase ratings of the supervisor and perceptions of leadership.  Affect only had one significant predictor, collectivism.  The LMX dimension of Professional Respect was found to have four significant predictors, including collectivism, religious affiliation, age, and years as a manager.  Further regression analysis indicated that the diversity dimension, collectivism, was the driving factor of the relationship. This outcome indicated that collectivism was a strong predictor of how positively participants rated their attitudes toward their immediate supervisor and perceptions of leadership.  The results of this study indicate that a relationship does exist between collectivism and religious affiliation with the Multidimensional Measure of Leader-Member Exchange, particularly with regard to the LMX dimensions of Contribution and Professional Respect. Furthermore, it strengthens the argument that organizations must be prepared to re-evaluate their policies with regard to diversity in the organization, particularly with respect to collectivism

Methodological proposal to identify the nationality of Twitter users through random forests

We disclose a methodology to determine the participants in discussions and their contribu tions in social networks with a local relationship (e.g., nationality), providing certain levels of trust and efficiency in the process. The dynamic is a challenge that has demanded studies and some approximations to recent solutions. The study addressed the problem of identify ing the nationality of users in the Twitter social network before an opinion request (of a politi cal nature and social participation). The employed methodology classifies, via machine learning, the Twitter users’ nationality to carry out opinion studies in three Central American countries. The Random Forests algorithm is used to generate classification models with small training samples, using exclusively numerical characteristics based on the number of times that different interactions among users occur. When averaging the proportions achieved by inferences of the ratio of nationals of each country, in the initial data, an average of 77.40% was calculated, compared to 91.60% averaged after applying the automatic clas sification model, an average increase of 14.20%. In conclusion, it can be seen that the sug gested set of method provides a reasonable approach and efficiency in the face of opinion problems

Stellar Populations and Star Cluster Formation in Interacting Galaxies with the Advanced Camera for Surveys

Pixel-by-pixel colour-magnitude and colour-colour diagrams - based on a subset of the Hubble Space Telescope Advanced Camera for Surveys Early Release Observations - provide a powerful technique to explore and deduce the star and star cluster formation histories of the Mice and the Tadpole interacting galaxies. In each interacting system we find some 40 bright young star clusters (20 <= F606W (mag) <= 25, with a characteristic mass of ~3 x 10^6 Msun), which are spatially coincident with blue regions of active star formation in their tidal tails and spiral arms. We estimate that the main events triggering the formation of these clusters occurred ~(1.5-2.0) x 10^8 yr ago. We show that star cluster formation is a major mode of star formation in galaxy interactions, with >= 35% of the active star formation in encounters occurring in star clusters. This is the first time that young star clusters have been detected along the tidal tails in interacting galaxies. The tidal tail of the Tadpole system is dominated by blue star forming regions, which occupy some 60% of the total area covered by the tail and contribute ~70% of the total flux in the F475W filter (decreasing to ~40% in F814W). The remaining pixels in the tail have colours consistent with those of the main disk. The tidally triggered burst of star formation in the Mice is of similar strength in both interacting galaxies, but it has affected only relatively small, spatially coherent areas.Comment: 23 pages in preprint form, 6 (encapsulated) postscript figures; accepted for publication in New Astronomy; ALL figures (even the grey-scale ones) need to be printed on a colour printer style files included; for full-resolution paper, see http://www.ast.cam.ac.uk/STELLARPOPS/ACSpaper

Diversity As A Predictor Of Leadership Effectiveness

Drawing upon theexisting literature, this study investigated the significance of Diversity as apredictor of leadership effectiveness, as it relates to the MultidimensionalMeasure of Leader-Member Exchange (LMX-MDM).  A study of 300 working adults found that therewas a significant positive relationship between Diversity and the four LMXdimensions of Contribution, Loyalty, Affect, and Professional Respect.  Collectivism and religious affiliation wereboth strong predictors with regard to Contribution.  With regard to the dimension of Loyalty;collectivism, gender egalitarianism, and age helped to increase ratings of thesupervisor and perceptions of leadership.  Affect only had one significant predictor, collectivism. The LMX dimension of ProfessionalRespect was found to have four significant predictors, including collectivism, religiousaffiliation, age, and years as a manager.  Further regression analysis indicated that theDiversity dimension, Collectivism, was the driving factor of the relationship.  This outcome indicated that Collectivism was astrong predictor of how positively participants rated their attitudes towardtheir immediate supervisor and perceptions of leadership.  The results of this study indicate that diversity,particularly with regard to collectivism, is a positive predictor of leadershipeffectiveness using the LMX model.  Furthermore,it strengthens the argument that organizations must be prepared to re-evaluatetheir policies with regard to diversity in the organization, particularly withrespect to Collectivism

Proposal and validation of an industry 4.0 maturity model for SMEs

Purpose: This paper seeks to establish an Industry 4.0 maturity model for manufacturing SMEs. Thisresearch presents the characteristics of the proposed model, which takes the elements and the scope of thefourth industrial revolution, as well as the dimensions and assessment scales of some maturity modelsalready applied. Likewise, this document shows the modelling process and the model’s validation in SMEsin the city of Bogotá-Colombia.Design/methodology/approach: To determine the criteria of the maturity model, 6 major stages havebeen established: Literature Review, Development of the model; Validation of the model; Application ofthe model; Data analysis; and Conclusion and Recommendations. Findings: Considering the validation of some maturity models shown in the literature review, and alignedwith the purpose of this article, 8 dimensions have been established to measure the maturity level ofSMEs: Service; Operations; Quality; Products; Documented information- Big Data; Leadership andstrategy; Communication; and Culture and people. A model has been generated that allows evaluating thedegree of compliance in each dimension for manufacturing SMEs. The model can be applicable tocompanies in any industry. Also, it can determine the degree of implementation compliance of companiesin the same sector.Research limitations/implications: According to the literature reviewed, SMEs, especially those in LatinAmerica, still do not have a culture of applying the elements of Industry 4.0. Therefore, in the research, itwas not easy to understand the intrinsic variables of Industry 4.0 that SMEs have applied in different areas,which does not allow us to have the current context of SMEs and from that perspective to have a bettersimulation of the business model maturity.Practical implications: The model presented in this document serves as a basis for SMEs in LatinAmerica to establish a baseline measurement in relation to the application of Industry 4.0 elements incompanies.Social implications: What is intended with this work is to frame a baseline so that companies canunderstand their current maturity level in the terms that industry 4.0 could cover. Likewise, they cangenerate actions for the appropriation of new technologies that allow them to be more competitive. Thisdocument can be taken and applied by those entrepreneurs companies who wish to measure theiroperations.Originality/value: The essential point for the generation of the maturity level measurement model isfocused on determining the necessary dimensions on which the evaluation is based. In the literature found,most models focus their dimensions on measuring the digital in their processes and tangentially evaluate the organizational structure and the relationship between them. Additionally, the authors who address theorganization as a whole do not reveal the details for SMEs to self-evaluate. The models found have onlybeen implemented to evaluate one company along or individually. This model presents the coredimensions holistically and explicitly, taking important criteria such as quality, service, communication, andthe culture of all employees. Additionally, it shows in detail the model that allows to SMEs of themanufacturing sector to self-assess themselves in each dimension and in turn the degree of the businesssector in which they are or belongPeer Reviewe

Mantenimiento de líneas aéreas desenergizadas con operación normal a 13,2 kv

En el presente trabajo se desarrolla un estudio de las normas y procedimientos a seguir para llevar a cabo los respectivos tipos de mantenimiento de los sistemas eléctricos de distribución, comprendiendo todas las etapas de los mismos. El objetivo del presente documento es aportar una visión de conjunto sobre el mantenimiento de redes de distribución de energía eléctrica en el momento actual, en el que aparecen nuevos retos para las empresas distribuidoras de energía en un entorno cambiante, competitivo y cada vez más complejo. Se describe un procedimiento sencillo y fácil de entender para la realización tanto de mantenimiento preventivo como de mantenimiento correctivo a las de redes eléctricas de 13,2 kV, así como la herramienta necesaria y los requisitos y roles del personal involucrado en esta labor; teniendo siempre como prioridad la atención al cliente, la seguridad, la calidad y la protección del medio ambiente

Reliable, Context-Aware and Energy-Efficient Architecture for Wireless Body Area Networks in Sports Applications

RÉSUMÉ Un Réseau Corporel Sans Fil (RCSF, Wireless Body Area Network en anglais ou WBAN) permet de collecter de l'information à partir de capteurs corporels. Cette information est envoyée à un hub qui la transforme et qui peut aussi effectuer d'autres fonctions comme gérer des événements corporels, fusionner les données à partir des capteurs, percevoir d’autres paramètres, exécuter les fonctions d’une interface d’utilisateur, et faire un lien vers des infrastructures de plus haut niveau et d’autres parties prenantes. La réduction de la consommation d'énergie d’un RCSF est un des aspects les plus importants qui doit être amélioré lors de sa conception. Cet aspect peut impliquer le développement de protocoles de Contrôles d'Accès au Support (CAS, Media Access Control en anglais ou MAC), protocoles de transport et de routage plus efficients. Le contrôle de la congestion est un autre des facteurs les plus importants dans la conception d’un RCSF, parce que la congestion influe directement sur la Qualité De Service (QDS, Quality of Service en anglais ou QoS) et l’efficience en énergie du réseau. La congestion dans un RCSF peut produire une grande perte de paquets et une haute consommation d’énergie. La QDS est directement impactée par la perte de paquets. L’implémentation de mesures additionnelles est nécessaire pour atténuer l’impact sur la communication des RCSF. Les protocoles de CAS pour RCSF devraient permettre aux capteurs corporels d’accéder rapidement au canal de communication et d’envoyer les données au hub, surtout pour les événements urgents tout en réduisant la consommation d’énergie. Les protocoles de transport pour RCSF doivent fournir de la fiabilité bout-à-bout et de la QDS pour tout le réseau. Cette tâche peut être accomplie par la réduction du ratio de perte de paquets (Packet Loss Ratio en anglais ou PLR) et de la latence tout en gardant l'équité et la faible consommation d'énergie entre les noeuds. Le standard IEEE 802.15.6 suggère un protocole de CAS qui est destiné à être applicable à tous les types de RCSF; toutefois, ce protocole peut être amélioré pour les RCSF utilisés dans le domaine du sport, où la gestion du trafic pourrait être différente d’autres réseaux. Le standard IEEE 802.15.6 comprend la QDS, mais cela ne suggère aucun protocole de transport ou système de contrôle du débit. Le but principal de ce projet de recherche est de concevoir une architecture pour RCSF en trois phases : (i) Conception d’un mécanisme sensible au contexte et efficient en énergie pour fournir une QDS aux RCSF; (ii) Conception d’un mécanisme fiable et efficient en énergie pour fournir une récupération des paquets perdus et de l’équité dans les RCSF; et (iii) Conception d’un système de contrôle du débit sensible au contexte pour fournir un contrôle de congestion aux RCSF. Finalement, ce projet de recherche propose une architecture fiable, sensible au contexte et efficiente en énergie pour RCSF utilisés dans le domaine du sport. Cette architecture fait face à quatre défis : l'efficacité de l'énergie, la sensibilité au contexte, la qualité de service et la fiabilité. La mise en place de cette solution aidera à l’amélioration des compétences, de la performance, de l’endurance et des protocoles d’entraînement des athlètes, ainsi qu’à la détection des points faibles. Cette solution pourrait être prolongée à l’amélioration de la qualité de vie des enfants, des personnes malades ou âgées, ou encore aux domaines militaires, de la sécurité et du divertissement. L’évaluation des protocoles et schémas proposés a été faite par simulations programmées avec le simulateur OMNeT++ et le système Castalia. Premièrement, le protocole de CAS proposé a été comparé avec les protocoles de CAS suivants : IEEE 802.15.6, IEEE 802.15.4 et T-MAC (Timeout MAC). Deuxièmement, le protocole de CAS proposé a été comparé avec le standard IEEE 802.15.6 avec et sans l’utilisation du protocole de transport proposé. Finalement, le protocole de CAS proposé et le standard IEEE 802.15.6 ont été comparés avec et sans l’utilisation du système de contrôle du débit proposé. Le protocole de CAS proposé surpasse les protocoles de CAS IEEE 802.15.6, IEEE 802.15.4 et T-MAC dans le pourcentage de pertes de paquets d’urgence et normaux, l’efficacité en énergie, et la latence du trafic d’urgence et du trafic normal. Le protocole de CAS proposé utilisé avec le protocole du transport proposé surpasse la performance du standard IEEE 802.15.6 dans le pourcentage de perte de paquets avec ou sans trafic d’urgence, l’efficacité en énergie, et la latence du trafic normal. Le système de contrôle du débit proposé a amélioré la performance du protocole de CAS proposé et du standard IEEE 802.15.6 dans le pourcentage de perte de paquets avec ou sans trafic d’urgence, l’efficacité en énergie, et la latence du trafic d’urgence.----------ABSTRACT Information collected from body sensors in a Wireless Body Area Network (WBAN) is sent to a hub or coordinator which processes the information and can also perform other functions such as managing body events, merging data from sensors, sensing other parameters, performing the functions of a user interface and bridging the WBAN to higher-level infrastructure and other stakeholders. The reduction of the power consumption of a WBAN is one of the most important aspects to be improved when designing a WBAN. This challenge might imply the development of more efficient Medium Access Control (MAC), transport and routing protocols. Congestion control is another of the most important factors when a WBAN is designed, due to its direct impact in the Quality of Service (QoS) and the energy efficiency of the network. The presence of congestion in a WBAN can produce a big packet loss and high energy consumption. The QoS is also impacted directly by the packet loss. The implementation of additional measures is necessary to mitigate the impact on WBAN communications. The MAC protocols for WBANs should allow body sensors to get quick access to the channel and send data to the hub, especially in emergency events while reducing the power consumption. The transport protocols for WBANs must provide end-to-end reliability and QoS for the whole network. This task can be accomplished through the reduction of both the Packet Loss Ratio (PLR) and the latency while keeping fairness and low power consumption between nodes. The IEEE 802.15.6 standard suggests a MAC protocol which is intended to be applicable for all kinds of WBANs. Nonetheless, it could be improved for sports WBANs where the traffic-types handling could be different from other networks. The IEEE 802.15.6 standard supports QoS, but it does not suggest any transport protocol or rate control scheme. The main objective of this research project is to design an architecture for WBANs in three phases: (i) Designing a context-aware and energy-efficient mechanism for providing QoS in WBANs; (ii) Designing a reliable and energy-efficient mechanism to provide packet loss recovery and fairness in WBANs; and (iii) Designing a context-aware rate control scheme to provide congestion control in WBANs. Finally, this research project proposes a reliable, context-aware and energy-efficient architecture for WBANs used in sports applications, facing four challenges: energy efficiency, context awareness, quality of service and reliability. The benefits of this solution will help to improve skills, performance, endurance and training protocols of athletes, and deficiency detection. Also, it could be extended to enhance the quality of life of children, ill and elderly people, and to security, military and entertainment fields. The evaluation of the proposed protocols and schemes was made through simulations programed in the OMNeT++ simulator and the Castalia framework. First, the proposed MAC protocol was compared against the IEEE 802.15.6 MAC protocol, the IEEE 802.15.4 MAC protocol and the T-MAC (Timeout MAC) protocol. Second, the proposed MAC protocol was compared with the IEEE 802.15.6 standard with and without the use of the proposed transport protocol. Finally, both the proposed MAC protocol and the IEEE 802.15.6 standard were compared with and without the use of the proposed rate control scheme. The proposed MAC protocol outperforms the IEEE 802.15.6 MAC protocol, the IEEE 802.15.4 MAC protocol and the T-MAC protocol in the percentage of emergency and normal packet loss, the energy effectiveness, and the latency of emergency and normal traffic. The proposed MAC protocol working along with the proposed transport protocol outperforms the IEEE 802.15.6 standard in the percentage of the packet loss with or without emergency traffic, the energy effectiveness, and the latency of normal traffic. The proposed rate control scheme improved the performance of both the proposed MAC protocol and the IEEE 802.15.6 standard in the percentage of the packet loss with or without emergency traffic, the energy effectiveness and the latency of emergency traffic

Twin of robotic arms: application for predictive maintenance

Máster en Internet de las Cosas, Facultad de Informática UCM, Departamento de Arquitectura de Computadores y Automática, Curso 2019/2020.La evolución de la industria y la integración de robots a los procesos industriales ha marcado la cuarta revolución industrial denominada Industry 4.0. La integración de nuevas tecnologías a los procesos industriales como el Internet of Things (IoT) permite la interconexión de dispositivos, mejor monitoreo y análisis del estado actual de cada una de las partes del proceso, lo que da paso a la implementación de Digital Twins (DT). Un DT es una representación del estado actual y/o comportamiento de un dispositivo o sistema. En los procesos industriales el mantenimiento de los equipos es una de las partes fundamentales, ya que una parada de producción no deseada representa grandes pérdidas de dinero, es por esto por lo que es de suma importancia saber cuándo un equipo está funcionando mal para realizar un mantenimiento. Esto se consigue con el mantenimiento predictivo, que permite tomar decisiones del proceso gracias a los datos generados del DT y aplicando técnicas de Inteligencia Artificial. En el presente proyecto se realiza un DT con el fin de realizar mantenimiento predictivo para evitar paradas de planta no deseadas y pérdidas de equipos. La adquisición de datos se lo realiza por BLE desde un nodo sensor genérico y se envía mediante MQTT a un servidor, donde se almacena todos los datos en MongoDB. Para la visualización de la información y del estado actual del sistema se desarrolló un dashboard en Ignition, un software SCADA, que se ocupa a nivel industrial.The evolution of the industry and the integration of robots into industrial processes has marked the fourth industrial revolution called Industry 4.0. The integration of new technologies to industrial processes, such as the Internet of Things (IoT), allows the interconnection of devices, better monitoring, and analysis of the current status of each of the parts of the process. This leads to the implementation of Digital Twins (DT), which is a representation of the current state and/or behavior of a device or system. In industrial processes, equipment maintenance is one of the fundamental parts because an unwanted stop production represents large losses of money. This is the reason which why it is very important to know when equipment is malfunctioning to carry out a maintenance. This is achieved with predictive maintenance, which allows to make decisions made in the process thanks to the data generated from the DT and the application of Artificial Intelligence techniques. In this project, a DT is carried out in order to perform predictive maintenance for avoiding unwanted plant shutdowns and equipment losses. Data acquisition is done by BLE from a generic sensor node and sent via MQTT to a server, where all the data is stored in MongoDB. To display the information and the current state of the system, a dashboard was developed in Ignition, a SCADA software, which is used at the industrial level.Depto. de Arquitectura de Computadores y AutomáticaFac. de InformáticaTRUEunpu