Now showing items 1-5 of 9194

    • Eficiencia energética para empresas que utilizan aire comprimido en su proceso de producción

      Velarde, Jesus; Alanis, Berenice; Beltran, Victor (Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-11-19)
      Observación, análisis y propuestas para mejorar la eficiencia energética en las empresas que utilizan aire comprimido para sus procesos.
    • Framework for consistent generation of linked data: the case of the user's academic profile on the web

      Alvarado Uribe, Joanna
      Decision management is relevant for high-value decisions that involve multiple types of input data. Since the Web allows users to keep in touch with other users and likewise, share their data (such as features, interests, and preferences) with applications and devices to customize a provided service, the online data related to these users can be collected as input data for a decision-making process. However, these data are usually provided to the application or device used in a given time, causing three major issues: data are isolated when are provided to a specific entity, data are scattered in the network, and data are found in different formats (structured, semi-structured, and unstructured). Therefore, with the aim of supporting decision makers to make better decisions, in a certain scenario, the proposal to automatically unify, align, and integrate the user data concerning this scope into a centralized and standardized structure that allows, at the same time, to model the user's profile on the Web in a consistent and updated manner as well as to generate linked data from the integrated information is addressed. This is where Decision Support Systems, Semantic Web, and context-enriched services become the cornerstones of the computational approach proposed as a solution to these issues. Firstly, given the generality of fields that can constitute a user profile, the definition of a scope that allows validating the proposed approach is emphasized for this research work. Secondly, the proposal, development, and evaluation of the computational solutions that allow dealing with the data modeling, integration, generation, and updating consistently are highlighted in this research. Therefore, a study focused on the academic area is proposed for this work in order to support researchers and data managers at the institutional level in processes and activities concerning this area, specifically at Tecnologico de Monterrey. To achieve this goal, the design of an interdisciplinary, justified, and interoperable meta-schema (called Academic SUP) that allows to model the user's academic profile on the Web, as well as the development of a computational framework (named as AkCeL) that allows to integrate, generate, and update data into such a meta-schema consistently are proposed in this research work. In addition, in order to support researchers in their decision-making processes, the development of a recommendation algorithm (called C-HyRA) that allows providing a research areas list interesting for researchers, as well as the adoption of a visualization platform related to the academic area to present the information generated by AkCeL are put forward in this proposal. As a result, unified, consistent, reliable, and updated information of the researcher' academic profile is provided on the Web from this approach, in both text and graphics, through the VIVO platform to be consumed primarily by researchers and educational institutions to support their networks and statistics of collaboration/publication and research.
    • Preparación de fibras híbridas de composito carbono-carbono

      González Dueñas, Victor Alejandro
      El principal objetivo del presente trabajo es la preparación de un composito de carbono-carbono a base fibras de alcohol polivinílico (PVA) reforzadas por diferentes nanoestructuras de carbono mediante la técnica de forcespinning con el fin de mejorar su direccionalidad y obtener una morfología homogénea. Luego mediante un proceso de pirólisis se obtuvieron fibras de carbono, con el fin de obtener un material más atractivo al mejorar sus propiedades térmicas, eléctricas y mecánicas en aplicaciones de almacenamiento de energía. Los resultados más sobresalientes de este trabajo indican la innovación del equipo de forcespinning, al modificar la geometría del dispensador de polímero incrementando la capacidad de solución por prueba y eliminando el uso de agujas o sistemas de integración de jeringas mediante una perforación sobre la cara del dispensador que permite la deposición de las fibras en la superficie obteniendo direccionalidad, se analizaron distintas concentraciones en la solución de 5, 10, 15 y 20% w/v para determinar el parámetro de velocidad rotacional para obtener un mejor procesos de producción en comparación al equipo tradicional. Además, se observó que la incorporación de las diferentes nanoestructuras de carbono en concentraciones de 0.5% w/v - 1% w/v no modifican la viscosidad de la solución lo cual evita la modificación de parámetros del equipo. La espectroscopia infrarroja (FTIR) determino que no hay un cambio estructural en el polímero y la presencia de las nanoestructuras de carbono. La microscopía electrónica de barrido (SEM) confirmó la obtención de fibras con un diámetro final de <2.1 ± 0.3 μm para cualquiera de las diversas muestras, al se agrega cloruro de sodio (NaCl), hay una disminución en el diámetro de las fibras <1.8 ± 0.2 μm de tamaño, lo cual incrementa el área superficial del material Por voltametría cíclica (CV) se estudiaron las propiedades electroquímicas de los compositos obteniendo corrientes de 10-2 y 10-3 amperes al estabilizarse por tres semanas en el electrolito dichas corrientes son mayores a las de un capacitor de cerámico comercial por lo que mejoraría la capacidad de almacenamiento de energía en dispositivos electrónicos.
    • Visualization and machine learning techniques to support web traffic analysis

      Gómez-Herrera, Fernando
      Web Analytics (WA) services are one of the main tools that marketing experts use to measure the success of an online business. Thus, it is extremely important to have tools that support WA analysis. Nevertheless, we observed that there has not been much change in how services display traffic reports. Regarding the trustworthiness of the information, Web Analytics Services (WAS) are facing the problem that more than half of Internet traffic is Non-Human Traffic (NHT). Misleading online reports and marketing budget could be wasted because of that. Some research has been done, yet, most of the work involves intrusive methods and do not take advantage of information provided by current WAS. In the present work, we provide tools that can help the marketing expert to get better reports, to have useful visualizations, and to ensure the trustworthiness of the traffic. First, we propose a new Visualization Tool. It helps to show the website performance in terms of a preferred metric and enable us to identify potential online strategies upon that. Second, we use Machine Learning Binary Classification (BC) and One-Class Classification (OCC) to get more reliable information by identifying NHT and abnormal traffic. Then, marketing analysts could contrast NHT against their current reports. Third, we show how Pattern Extraction algorithms (like PBC4cip's miner) could help to conduct traffic analysis (once visitor segmentation is done), and to propose new strategies that may improve the online business. Later on, the patterns can be used in the Visualization Tool to analyze the traffic in detail. We confirmed the usefulness of the Visualization Tool by using it to analyze bot traffic we generated. NHT traffic shared a very similar linear navigation path, contrasted with the more complex human path. Furthermore, BC and OCC (BaggingTPMiner) worked successfully in the detection of well-known bots and abnormal traffic. We achieved a ROC AUC of 0.844 and 0.982 for each approach, respectively.
    • Reception of Multiple Users in Reconfigurable Wireless Networks

      Velázquez Gutiérrez, Juan Manuel
      The next generation of wireless networks (WNs) will confront important challenges pre- sented by the high density and convergence of wireless elements (WEs), their influence on our lifestyle, and the proliferation of new paradigms of wireless communication systems. Co- existence, mobility, and multiple access are some issues widely studied in order to ensure their operation. In this work. it is introduced a framework of WNs considering association schemes, networking, and coexistence aspects which are useful concepts to describe their fea- tures and the relationship among elements. Code division multiple access (CDMA) systems are considered as attractive models to future wireless communication systems (WCS) in order to affront the new and changing challenges. Traditional direct sequences - code division multiple access (DS-CDMA) and double codification division multiple access (C2DMA) models provide engaging features given that offer continuous access to the wireless channel to every user, i.e. they permit coexistence of multiple users at the same time. These models are interference limited systems what make them vulnerable to usual issues in dynamic networks such as the Near-Far problem, Hidden and exposed terminals interference, etc. However, C2DMA model has been shown addi- tional properties that makes it attractive to reconfigurable wireless networks (RWNs) due to its robustness to interference. It considers a double correlation technique which provides si- multaneous reception and motivates the study of sequences used as codes in order to increase their use and visualise some applications. This work considers current and new sets of codes through an exhaustive search of useful sequences for both models. First, desired properties are identified for each model, next known sequence sets are tested with these properties. After that, an exhaustive search algorithm is used in order to select and group sequences to form all the possible code sets with desired properties. Finally, these models are tested in challenging scenarios in order to examine their performance and persuade about their potential in future WNs.