256 research outputs found
Robotization Effect Using Phase Vocoder Processing
The basic principle of the robotic effect relies on the phase vocoder, which splits an input signal into bands before the processing, in order to achieve this, a representation in the frequency domain is achieved by using a window function in conjunction with the Short Time Fourier Transform. Although many robot-robot effect devices have been available during the years, none of the allowed for a wide variation of effects thanks to selection of window function, window sizes or hop sizes, which in conjunction create a vast variation in the resulting signal which then can be used for diverse purposes with great success
Satisfacción laboral en las franquicias Starbucks de la ciudad de Cusco - 2019
La presente investigación en las Franquicias Starbucks de la Ciudad del Cusco - 2019, tiene
por objeto conocer la Satisfacción Laboral de los colaboradores en las Franquicias Starbucks
de la Ciudad del Cusco - 2019. Metodológicamente se ha efectuado una investigación es de
tipo básica, el nivel de investigación es descriptiva con diseño no experimental, y la población
en estudio son los colaboradores de las Franquicias Starbucks de la Ciudad del Cusco - 2019,
que fueron 34 colaboradores, la técnica de recolección de datos ha sido la encuesta con su
instrumento el cuestionario, datos que han sido procesados con ayuda del programa SPSS y se
presentan mediante tablas y figuras. En el marco teórico se encontraron antecedentes a nivel
internacional, nacional y regional, sin embargo no se han encontrado antecedentes en el ámbito
franquicias, por otro parte se determinó las bases teóricas o teorías sobre la satisfacción laboral,
su importancia, medición, efectos y factores como son la frecuencia de la supervisión, el
ambiente físico, la remuneración, satisfacción intrínseca y la participación, con el fin de
determinar la operacionalización, identificación de variables, dimensiones e indicadores. Para
el procesamiento de los datos obtenidos de fuentes primarias, se ha usado el SPSS, y para su
mayor entendimiento se muestran tablas resumen, gráficos y su interpretación. La satisfacción
laboral en las Franquicias Starbucks de la Ciudad del Cusco, se considera como regularmente
satisfechos por parte de los colaboradores, determinado por un 2.92 de promedio. La palabra
clave es Satisfacción.The present investigation in the Starbucks Franchises of the City of Cusco - 2019, aims to know
the Work Satisfaction of the collaborators in the Starbucks Franchises of the City of Cusco -
2019. Methodologically an investigation has been carried out is of basic type, the level of
research is descriptive with non-experimental design, and the population under study are the
collaborators of the Starbucks Franchises of the City of Cusco - 2019, which were 34
collaborators, the data collection technique has been the survey with its instrument the
questionnaire, data that has been processed with the help of the SPSS program and is presented
using tables and figures. In the theoretical framework, antecedents at international, national
and regional levels were found, however no antecedents were found in the franchise field, on
the other hand the theoretical bases or theories on job satisfaction, its importance,
measurement, effects and factors were determined such as the frequency of supervision,
physical environment, remuneration, intrinsic satisfaction and participation, in order to
determine operationalization, identification of variables, dimensions and indicators. For the
processing of data obtained from primary sources, the SPSS has been used, and for its greater
understanding, summary tables, graphs and their interpretation are shown. Job satisfaction at
Starbucks Franchises in the City of Cusco is considered as regularly satisfied by employees,
determined by an average of 2.92. The keyword is Satisfaction.Tesi
A Deep Learning based Fast Signed Distance Map Generation
Signed distance map (SDM) is a common representation of surfaces in medical
image analysis and machine learning. The computational complexity of SDM for 3D
parametric shapes is often a bottleneck in many applications, thus limiting
their interest. In this paper, we propose a learning based SDM generation
neural network which is demonstrated on a tridimensional cochlea shape model
parameterized by 4 shape parameters. The proposed SDM Neural Network generates
a cochlea signed distance map depending on four input parameters and we show
that the deep learning approach leads to a 60 fold improvement in the time of
computation compared to more classical SDM generation methods. Therefore, the
proposed approach achieves a good trade-off between accuracy and efficiency
Impact of the development of bioinformatics in Cuba
Bioinformatics is the application of computer science to solve biological problems. Its application is becoming more necessary and common every day in the field of life science research. In this discipline, computational and human resources assist in the analysis of enormous amounts of biological data, to extract valuable information and obtain results with improved impacts on human, animal and plant health. This report addresses the emergence of the bioinformatics career as part of the natural cycle of the biotechnological advancement process in Cuba and the impact of its development in areas such as oncology, genetics, epidemiology and pharmacology. The exposed elements allows to understand the importance of its use, being every day more necessary and common in the field of life sciences research, despite the large investments in technology to be made. It is concluded that with the application of bioinformatics it is possible to solve a large number of current biomedical problems, which makes it a vital discipline for Cuba in its development plans and that it must play a leading role in horizon up to 2030
Gestión de inventario para mejorar la productividad en almacén de la empresa SEALERS.S. A en Ate 2022
El objetivo de la investigación es determinar que la gestión de inventario mejora
la productividad en almacén de la empresa SEALERS S.A en Ate, 2022. El
problema es la demoran en la atención de almacén en la entrega de los
materiales, donde se implementó el modelo de la cantidad económica de pedido
y la planificación de requerimiento de materiales, ayudando mejorar el nivel de
cumplimiento y la optimizando del tiempo de atención. el tipo de investigación es
aplicada y el tipo de diseño es pre experimental, la población de estudio es la
atención de pedidos diarios que se realiza al transcurso del año 2022 en el
almacén en la corporación SEALERS. S.A, nuestra técnica es el análisis de
contenidos y observación, nuestro instrumento es el sotfware de la empresa que
es un ERP. En el análisis inferencial se utilizó el software estadístico SPSS V24.
En el análisis descriptivo se utilizó tablas de Excel antes y después. El resultado
de productividad es un incremento de 27 %. Se concluyó que la gestión de
inventario mejora positivamente la productividad en almacén de la empresa
SEALERS S.A, porque aplicando las herramientas desarrolladas se llega
aumento de la productividad
Robot Detector de Enfermedades en Cultivos de Gulupa
Se detallará el proceso de diseño y simulación de un Robot capaz de transitar a lo largo de un cultivo
de gulupa detectando por medio de un algoritmo las gulupas presentes en el cultivo filtrando cada una de
forma individual, además de una aplicación móvil que se comunica con el robot por medio de un servidor
donde comparten las imágenes de los frutos, estas imágenes son mostradas en la aplicación dentro de una
tabla que contiene información de una imagen. el diseño del robot se hizo en el software SolidWorks 2017,
dicho modelo CAD fue exportado a Blender, para posteriormente ser cargado en el software de simulación
GAZEBO para utilizar el framework ROS, esto con el fin de simular el movimiento del robot y desarrollar
diversas pruebas de desempeño al dispositivo como el paso por obstáculos, visualización de objetos y
correcto funcionamiento de los sensores. El algoritmo para la detección de frutos se basará en el uso de
diversas técnicas de filtrado como convolución y watershet, utilizando las librerías para el lenguaje de
programación Python: OpenCV y Numpy, para evaluar el rendimiento del algoritmo se hará con una base
de datos que contiene 2090 imágenes de frutos tomadas en diversos estados de iluminación y posición del
fruto. Al procesar cada imagen con el algoritmo se extraerán los falsos positivos y verdaderos positivos,
con estos datos se calculará la efectividad que tuvo el algoritmo. La aplicación de dispositivo móvil se
programará en el entorno de programación Android Studio y el lenguaje kotlin, dicha aplicación descargará
la información almacenada en un servidor que será creado usando las funciones de apache en este será
cargada una base de datos en la cual se utilizaran las herramientas MySQL y PhpMyAdmin, el desempeño
de esta aplicación y servidor será medido cargando imágenes de salida del algoritmo en la base de datos y
que sean visualizados en la aplicación.The design and simulation process of a robot capable of moving along a gulupa crop will be
detailed, detecting by means of an algorithm the gulupas present in the crop, filtering each one individually,
as well as a mobile application that communicates with the robot through a server where they share the
images of the fruits, these images are shown in the application within a table that contains information
about an image. The robot design was made in the SolidWorks 2017 software, said CAD model was
exported to Blender, to later be loaded into the GAZEBO simulation software to use the ROS framework,
this to simulate the movement of the robot and develop various tests. of performance to the device such
as the passage through obstacles, visualization of objects and correct operation of the sensors. The
algorithm for the detection of fruits will be based on the use of various filtering techniques such as
convolution and watershet, using the libraries for the Python programming language: OpenCV and Numpy,
to evaluate the performance of the algorithm it will be done with a database that contains 2090 images of
fruits taken in various lighting states and position of the fruit. When processing each image with the
algorithm, the false positives and true positives will be extracted, with these data the effectiveness of the
algorithm will be calculated. The mobile device application will be programmed in the Android Studio
programming environment and the kotlin language, said application will download the information stored
on a server that will be created using the Apache functions, in which a database will be loaded in which the
functions will be used. MySQL and PhpMyAdmin tools, the performance of this application and server will
be measured by uploading output images of the algorithm to the database and displaying them in the
application
Realistic Simulation of Electric Potential Distributions of Different Stimulation Modes in an Implanted Cochlea
International audienceSimulation of the intracochlear potentials is an important approach to study the activation of auditory nerve fibers under electrical stimulations.However, it is still unclear to which extent the simulation results are affected by precision in reproducing the exact cochlear geometry.In this study, we address to this question by comparing the actual electric potential measured from implanted human specimen with the simulationoutputs from two different parametric 3D cochlear models. One of the model is created from the default values[1] while the other is adapted to the micro-CT scan data of the implanted cochlea
In situ validation of a parametric model of electrical field distribution in an implanted cochlea
International audienceCochlear implants have been proved to be an effective treatment for patients with sensorineural hearing loss. Among all the approaches that have been developed to design better cochlear implants, 3D model-based simulation stands out due to its detailed description of the electric field which helps reveal the electrophysiological phenomena inside the cochlea. With the advances in the cochlear implant manufacturing technology, the requirement on simulation accuracy increases. Improving the simulation accuracy relies on two aspects: 1) a better geometrical description of the cochlea that is able to distinguish the subtle differences across patients; 2) a comprehensive and reliable validation of the created 3D model. In this paper, targeting at high precision simulation, we propose a parametric cochlea model which uses micro-CT images to adapt to different cochlea geometries, then demonstrate its validation process with multi-channel stimulation data measured from a implanted cochlea. Comparisons between the simulation and validation data show a good match under a variety of stimulation configurations. The results suggest that the electric field distribution is affected by the geometric characteristics of each individual cochlea. These differences can be correctly reflected by simulations based on a 3D model tuned with personalized data
Natural coinfection between novel species of baculoviruses in spodoptera ornithogalli larvae
Spodoptera ornithogalli (Guenée) (Lepidoptera: Noctuidae) is an important pest in different crops of economic relevance in America. For its control, strategies that include chemicals are usually used; so, the description of entomopathogens would be very useful for the formulation of biopesticides. In this regard, two different baculoviruses affecting S. ornithogalli were isolated in Colombia, with one of them being an NPV and the other a GV. Ultrastructural, molecular, and biological characterization showed that both isolates possess the 38 core genes and are novel species in Baculoviridae, named as Spodoptera ornithogalli nucleopolyhedrovirus (SporNPV) and Spodoptera ornithogalli granulovirus (SporGV). The bioassays carried out in larvae of S. ornithogalli and S. frugiperda showed infectivity in both hosts but being higher in the first. In addition, it was observed that SporGV potentiates the insecticidal action of SporNPV (maximum value in ratio 2.5:97.5). Both viruses are individually infective but coexist in nature, producing mixed infections with a synergistic effect that improves the performance of the NPV and enables the transmission of the GV, which presents a slowly killing phenotype.Fil: Barrera, Gloria Patricia. Centro de Investigación Tibaitatá. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Villamizar, Laura Fernanda. Lincoln Research Centre; Estados UnidosFil: Araque, Gustavo Adolfo. Centro de Investigación Tibaitatá. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Gómez, Juliana Andrea. Centro de Investigación Tibaitatá. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Guevara, Elsa Judith. Centro de Investigación Tibaitatá. Corporación Colombiana de Investigación Agropecuaria; ColombiaFil: Cerrudo, Carolina Susana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Ingeniería Genética y Biología Molecular y Celular. Área Virus de Insectos; ArgentinaFil: Belaich, Mariano Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Ingeniería Genética y Biología Molecular y Celular. Área Virus de Insectos; Argentin
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