131 research outputs found
Innovation capability model for higher education institutions
Get PDFIntroducción: Este artículo se suma al interés de configurar herramientas que permitan diagnosticar capacidades y referenciar la necesidad y criterio de unificar recursos y rutinas para que las Instituciones de Educación Superior alcancen objetivos de innovación sistémica como resultado de la gestión estratégica y operativa de estas capacidades y, de esta manera, se dé paso a la creación y difusión de conocimientos. Por esta razón, este artículo propone la aproximación a un modelo de categorización de indicadores de capacidades de innovación para Instituciones de Educación Superior, así como su relación con procesos de transferencia del conocimiento, a partir de la generación y clasificación de indicadores a nivel de recursos y rutinas necesarias que permitan la gestión de la función de transferencia universitaria hacia el entorno. Está basado en su capacidad de incidir en el desarrollo empresarial desde una perspectiva de gestión del conocimiento. Objetivo: El objeto de este artículo se concentró en diseñar un modelo de rúbrica a partir de criterios e indicadores que facilite la evaluación de las capacidades de innovación en las Instituciones de Educación Superior. Metodología: El desarrollo del proyecto utilizó un método cualitativo documental de carácter descriptivo en el que se definieron las siguientes fases: búsqueda de fuentes y datos bibliográficos que soportaran la metodología desarrollada; análisis de estudios realizados por autores sobre modelos de medición y sus resultados para sopesar los indicadores que se requerían analizar de las capacidades propuestas por el enfoque funcional de las capacidades de innovación; y ponderación de recursos y rutinas para presentar un esquema de diagnóstico de capacidades de innovación en dos Instituciones de Educación Superior. Resultados: Los resultados permiten analizar la dinámica de innovación en las Instituciones de Educación Superior bajo un modelo de capacidades de innovación. Conclusiones: La identificación y gestión adecuada de las capacidades de innovación permitirá obtener las ventajas competitivas necesarias para el sostenimiento organizacional, la diferenciación y el fortalecimiento de la relación universidad-empresa.Introduction− This article is based on the interest of configu-ring tools to diagnose capacities and reference the needs and different criteria to integrate resources and routines so that Higher Education Institutions achieve systemic innovation ob-jectives as a result of the strategic and operative management of capacities for the creation and dissemination of knowledge. For this reason, this article sets forth the approximation to a categorization model of innovation capacity indicators for Higher Education Institutions. It also concerns about its rela-tionship with knowledge transfer processes based on the gene-ration and classification of indicators regarding the resources and necessary routines in order to manage this transference. All this to influence business development from a knowledge management perspective.Objective−The purpose of this paper is to design a rubric model based on criteria and indicators in order to facilitate the evaluation of innovation capacities in Higher Education Institutions.Methodology−The development of the project used a docu-mentary qualitative method of descriptive character in which the following phases were defined: Search for sources and bi-bliographic data to support the methodology developed; analy-sis of studies conducted by authors on measurement models and their results to weigh the indicators that were required to analyze the capacities proposed by the functional approach of innovation capabilities; and finally, ponder resources and rou-tines to present a diagnostic scheme of innovation capabilities in two Higher Education Institutions.Results− The results lead to the analysis of innovation dy-namics in Higher Education Institutions under a model of innovation capabilities.Conclusions−The identification and adequate management of innovation capabilities will allow obtaining the necessary competitive advantages for organizational sustainability, di-fferentiation and strengthening of the university-company relationshipRomero Duque, Gustavo Andrés-799a256e-a1bb-44e9-9ff5-7eb1ae396406-0Suárez Castro, Ruth Milena-224f7a67-a0b9-4698-9fc1-3f4bf1db025a-0Rodríguez Celis, Harold Germán-c9964566-4ec7-4712-9d1d-6c217786bca5-
Macromodeling of high-speed interconnects by positive interpolation of vertical segments
Get PDFState-of-the-art interconnect design is very challenging. Designers are facing ever more stringent design specifications expressed in terms of bandwidth, speed, crosstalk, signal attenuation, etc. that dictate the need for powerful modeling tools. It is of a paramount importance that these tools are able to very accurately incorporate all substrate loss mechanisms and the finite conductivity and shape of the metallic interconnects. From this perspective, macromodels describing all high-frequency behavior are extremely useful to analyze the signal integrity (SI) behavior of the interconnects. Often, interconnect structures are characterized by using their cross-sectional geometry in a two-dimensional (2-D) electromagnetic (EM) simulation, leading up to a corresponding transmission line model [1]. An accurate description of the interconnects is then provided in terms of their per unit of length (p.u.1.) resistance (R), inductance (L), conductance (G) and capacitance (C) parameters, yielding so-called RLGC(f) models. Here, f denotes the frequency, as such indicating the frequency-dependent character of the p.u.l. parameters. For a comprehensive overview of such modeling methods, the reader is encouraged to consult [1] and the references therein. For on-chip lines that are electrically very short, sometimes, the p.u.l. resistance R and capacitance C are dominant (RC regime). In the present paper, however, all four p.u.l. parameters are considered, making the approach more general and also valid at very high frequencies. Thereto, a very accurate 2-D EM modeling procedure, making use of a Dirichlet-to-Neumann (DtN) boundary operator, is used as a starting point [2]. This metho
Viability of Pineapple Leaves as an Alternative Natural Fiber Geotextile
Get PDFThe study focuses on the utilization of pineapple leaves fiber as a raw material for the production of geotextiles. The fiber yarns were weaved based on required size of sample issued by the Philippines Textile Research Institute (PTRI) of the Department of Science and Technology (DOST). The Zwick/Roell Tensile Strength Tester Z050 (CRE) with 50 KN full scale load was used with the Wide-Width Strip Method in order to get the average tensile strength of the specimens each for both pineapple and abaca geotextile samples. The resulting average tensile strength and average nominal thickness for pineapple leaves geo-textile, when compared to abaca geo-textile has higher tensile force for a thinner sample of pineapple leaf geo-textile
Rational BRDF
Get PDFInternational audienceOver the last two decades, much effort has been devoted to accurately measure Bidirectional Reflectance Distribution Functions (BRDFs) of real-world materials and to use efficiently the resulting data for rendering. Because of their large size, it is difficult to use directly measured BRDFs for real-time applications, and fitting the most sophisticated analytical BRDF models is still a complex task. In this paper, we introduce Rational BRDF, a general-purpose and efficient representation for arbitrary BRDFs, based on Rational Functions (RFs). Using an adapted parametrization we demonstrate how Rational BRDFs offer (1) a more compact and efficient representation using low-degree RFs, (2) an accurate fitting of measured materials with guaranteed control of the residual error, and (3) an efficient importance sampling by applying the same fitting process to determine the inverse of the Cumulative Distribution Function (CDF) generated from the BRDF for use in Monte-Carlo rendering
Helix-simulation framework development for assessment of rotorcraft engines
Get PDFThe inevitable growth of air traffic resulting from the increasing demands on utilization of the aircraft for various purposes has introduced public awareness and concern about the contribution of air traffic towards climate change. The increase of aircraft emissions enhancing the greenhouse effect and decreasing the air quality in general, is no longer considered sustainable and steps are being taken towards the mitigation of this problem. Although a significant research activity takes place in the development of new technologies, the most readily available solution to this problem is seen in applying changes to aircraft operational rules and procedures and in optimizing the flight paths using the aircraft currently in service.
The helicopter, although comprising a significantly smaller portion of the aircraft market in comparison with the fixed-winged aircraft, is experiencing the same concerns with respect to the amount of gaseous emissions produced. The helicopter plays a specific and irreplaceable role in the air transportation and it is often being used for purposes where the environmental concerns are secondary (such as during medical rescue operations or during police missions). It is however being increasingly employed for non-urgent operations, such as executive business travel or for the transportation of personnel to and from oil rigs. In all cases, the most readily available solution (and also perhaps the least costly) to lowering the gaseous emissions is to evaluate the helicopter engine performance along a given flight path using a computer program in order to investigate the effect on fuel burn and gaseous emissions. Cont/d
Evaluación del uso de bacteriófagos para el biocontrol de aislamientos de Klebsiella pneumoniae multidrogoresistente en cuatro materiales de superficies comunes en entornos clínicos
No full textLa propagación de Infecciones Asociadas a la Atención en Salud (IAAS), principalmente por contaminación bacteriana, representa una seria amenaza para los sistemas de salud. La prevalencia de K. pneumoniae en hisopos de superficie, su detección en distintos materiales, la creciente resistencia global a carbapenémicos con tasas de mortalidad de 22-72% y cepas resistentes a desinfectantes, acentúan la necesidad de opciones biotecnológicas. Con el fin de explorar una alternativa de descontaminación efectiva y específica para el control de aislamientos de K. pneumoniae multirresistente, este estudio investigó el potencial de los fagos para controlar la carga bacteriana en materiales de superficies comunes en entornos clínicos: acero, tela, PVC y poliestireno. Se determinó que los aislamientos de K. pneumoniae sobrevivieron hasta 24 horas en superficies, con reducciones entre 0.49-1.59 y 1.69-3.88 LOG UFC a 24°C y 37°C, respectivamente. Posteriormente, se seleccionaron tres bacteriófagos de aguas residuales hospitalarias, que en conjunto mostraron actividad lítica contra el 88% de los aislamientos hospitalarios, además, de actividad antimicrobiana en superficies, logrando reducciones de hasta 4.99 LOG UFC. Estos resultados respaldan la efectividad de los fagos como desinfectantes y sugieren su potencial uso complementario en situaciones de brote en entornos hospitalarios.Hospital Universitario Mayor MéderiUniversidad de Los AndesMagíster en Ciencias BiológicasMaestríaBiotecnologí
Gestión sostenible de residuos en obra: estrategias prácticas para la construcción
No full textTrabajo de investigaciónEsta investigación centra su atención en la gestión sostenible de Residuos de Construcción y Demolición – RCD, y enfoca su análisis en las obras civiles de la ciudad de Bogotá. Teniendo en cuenta esto, actualmente, en la industria de la construcción esta problemática cobra importancia, pues, la normativa actual vinculada a la parte contractual, obliga a todos los proyectos a brindar importancia y a destinar esfuerzos en actividades que se relacionan con el área ambiental, asegurando el cumplimiento normativo, mejorado la eficiencia operativa a través del aprovechamiento de la reducción de costos en momentos específicos, fortaleciendo de paso, la imagen sostenible de la empresa, beneficio adicional para la gerencia de obras.
Al ser una investigación exploratoria-descriptiva, la metodología implementada en este estudio comprendió la consulta y referenciación de investigaciones y documentos relacionados con prácticas medio-ambientales, investigaciones de manejo de Residuos de Construcción y Demolición – RCDs, la recopilación de información sobre las prácticas actuales y más comunes del manejo de RCD en la industria, la identificación de experiencias exitosas a nivel nacional e internacional, con el fin de concluir con el listado y referenciación de las estrategias que mejor se adaptan en el manejo de Residuos de Construcción y Demolición – RCDs, dentro del contexto de Bogotá-Colombia. Así mismo, para evaluar de forma directa el estado actual de la gestión de residuos en obra, se realizó un acercamiento al sector, mediante un método de muestreo no probabilístico, se realizaron entrevistas y encuestas, lo que permitió identificar las prácticas existentes y las limitaciones. Los resultados indicaron que, a pesar de la claridad de la normativa y los procedimientos, así como la disponibilidad de información relevante sobre el tema, algunas empresas constructoras y profesionales no dan cumplimiento a éstas, ni tienen buenas prácticas relacionadas con los residuos RCD.
Esto motivó el desarrollo de una serie de directrices y una matriz de prácticas para abordar esta situación, la cual se materializa en la tabla 5, que resume estrategias que han resultado ser prácticas para la gestión sostenible de residuos en obras de construcción; y la misma, se convierte en un documento o elemento, que puede actuar como herramienta de referencia para las empresas que busquen dar cumplimiento de la normatividad sobre RCDs, y que no sepan por dónde comenzar. Esta tabla, permitirá identificar prácticas para un desarrollo más sustentable en obras civiles e informar para la preservación del medio ambiente. (Tomado de la fuente).EspecializaciónEspecialista en Gerencia de Obras1. INTRODUCCIÓN
2. GENERALIDADES
3. OBJETIVOS
4. MARCOS DE REFERENCIA
5. METODOLOGÍA
6. ENTREGA DE RESULTADOS E IMPACTOS
7. CONCLUSIONES
8. NUEVAS ÁREAS DE ESTUDIO
9. RECOMENDACIONES
BIBLIOGRAFÍA
ANEXO
Effect of boron doping on the wear behavior of the growth and nucleation surfaces of micro- and nanocrystalline diamond films
Get PDFB-doped diamond has become the ultimate material for applications in the field of microelectromechanical systems (MEMS), which require both highly wear resistant and electrically conductive diamond films and microstructures. Despite the extensive research of the tribological properties of undoped diamond, to date there is very limited knowledge of the wear properties of highly B-doped diamond. Therefore, in this work a comprehensive investigation of the wear behavior of highly B-doped diamond is presented. Reciprocating sliding tests are performed on micro- and nanocrystalline diamond (MCD, NCD) films with varying B-doping levels and thicknesses. We demonstrate a linear dependency of the wear rate of the different diamond films with the B-doping level. Specifically, the wear rate increases by a factor of 3 between NCD films with 0.6 and 2.8 at. % B-doping levels. This increase in the wear rate can be linked to a 50% decrease in both hardness and elastic modulus of the highly B-doped NCD films, as determined by nanoindentation measurements. Moreover, we show that fine-grained diamond films are more prone to wear. Particularly, NCD films with a 3× smaller grain size but similar B-doping levels exhibit a double wear rate, indicating the crucial role of the grain size on the diamond film wear behavior. On the other hand, MCD films are the most wear-resistant films due to their larger grains and lower B-doping levels. We propose a graphical scheme of the wear behavior which involves planarization and mechanochemically driven amorphization of the surface to describe the wear mechanism of B-doped diamond films. Finally, the wear behavior of the nucleation surface of NCD films is investigated for the first time. In particular, the nucleation surface is shown to be susceptible to higher wear compared to the growth surface due to its higher grain boundary line density
MACAW: Multimodal artificial intelligence for conservation of amazon wildlife
No full textThere is currently a global loss of biodiversity; this mainly affects hyperdiverse regions such as Colombia, where the Amazon Rainforest region is currently the most affected. There is a need to monitor biodiversity in this challenging region to track population density, and animal distribution patterns, among other studies, to take immediate action and slow the defaunation crisis. The use of Deep Learning techniques shows promising results in the conservation field. However, the current datasets and models are not tailored to the rich biodiversity and complexity of the Amazon Rainforest. Here, we present a Deep learning pipeline for animal detection and classification in camera traps trained on a newly collected dataset in collaboration with Universidad de los Andes. The pipeline tackles the needs of two important groups for the conservation of biodiversity: tech researchers and biologists by creating a pip installable package containing modular code and a user interface for easy and immediate use. The pipeline takes an image and passes it through a detection model that separates blank images and images containing animals. Then, we pass the detected animals through a classification model for identification up to the genus taxonomy level. We achieved an average detection precision of 89.5% and an average classification accuracy of 86%. Moreover, by applying a human-in-the-loop validation strategy, the pipeline saves 90% of the total human effort, allowing researchers to focus on higher-level tasks.Microsoft AI for GoodMagíster en Ingeniería BiomédicaMaestríaComputer Visio
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