Copoasú y su plan de negocio

Copoasú será una empresa innovadora en donde se ofrecerán postres típicos colombinos con preparación tradicional y tipo gourmet, combinados con una gran variedad de bebidas típicas y tradicionales que transportarán a las personas a su lugar de origen. El punto de venta de Copoasú estará dividido con decoración que concuerde con las regionales naturales de Colombia, atendido con servicio de excelente calidad para que el cliente se sienta como en casa. Los postres serán elaborados en el mismo punto de venta por practicidad y frescura del producto por lo que el punto de venta va a tener la dotación y personal adecuado para este tipo de preparación, además de unos excelentes insumos que nos permita mantener la misma calidad en el producto. De igual manera se realizarán controles frecuentes con el fin de comprobar que no se está perdiendo la receta original, siempre buscando el mejoramiento continuo de todos y cada uno de los productos ofrecidos por Copoasú. Para la escogencia de la localización del punto de venta, como del mercado, del mercado se realizó una segmentación geográfica, escogiendo la localidad de Chapinero por tener zonas representativas para el mercado de la empresa como lo son la zona T y G .El mercado objetivo son de 345.325 personas de estrato 4,5 y 6 de edades entre 24 y 38 años con ingresos mensuales promedio entre 800.000 y 1’700.000. Se analizaron los principales competidores de Copoasu firmas como Miryam Camhi, quien lleva más de veinte y cinco años en el mercado; H&B con apenas un año de funcionamiento; Rausch, que tiene muy poco tiempo de ingresó al mercado y finalmente Jaques, quien lleva diez años de funcionamiento. Bajo los supuestos conservadores establecidos para el modelo financiero Copoasú, demostró ser viable según el análisis del balance proyectado. El punto IV de equilibrio se alcanza al finalizar el segundo año de operación.

A new approach to segmentation based on fusing circumscribed contours, region growing and clustering

One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed

Active regions for colour texture segmentation integrating region and boundary information

In this paper a colour texture segmentation method, which unifies region and boundary information, is proposed. The algorithm uses a coarse detection of the perceptual (colour and texture) edges of the image to adequately place and initialise a set of active regions. Colour texture of regions is modelled by the conjunction of non-parametric techniques of kernel density estimation (which allow to estimate the colour behaviour) and classical co-occurrence matrix based texture features. Therefore, region information is defined and accurate boundary information can be extracted to guide the segmentation process. Regions concurrently compete for the image pixels in order to segment the whole image taking both information sources into account. Furthermore, experimental results are shown which prove the performance of the proposed method

Unsupervised active regions for multiresolution image segmentation

An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method

Improving Clustering Algorithms for Image Segmentation using Contour and Region Information

In image segmentation, clustering algorithms are very popular because they are intuitive and, some of them, easy to implement. For instance, the k-means is one of the most used in the literature, and many authors successfully compare their new proposal with the results achieved by the k-means. However, it is well known that clustering image segmentation has many problems. For instance, the number of regions of the image has to be known a priori, as well as different initial seed placement (initial clusters) could produce different segmentation results. Most of these algorithms could be slightly improved by considering the coordinates of the image as features in the clustering process (to take spatial region information into account). In this paper we propose a significant improvement of clustering algorithms for image segmentation. The method is qualitatively and quantitative evaluated over a set of synthetic and real images, and compared with classical clustering approaches. Results demonstrate the validity of this new approach

Enhanced Model Selection for motion segmentation

In this paper a novel rank estimation technique for trajectories motion segmentation within the Local Subspace Affinity (LSA) framework is presented. This technique, called Enhanced Model Selection (EMS), is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built by LSA. The results on synthetic and real data show that without any a priori knowledge, EMS automatically provides an accurate and robust rank estimation, improving the accuracy of the final motion segmentation

Rank estimation of trajectory matrix in motion segmentation

A novel technique for estimating the rank of the trajectory matrix in the local subspace affinity (LSA) motion segmentation framework is presented. This new rank estimation is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built with LSA. The result is an enhanced model selection technique for trajectory matrix rank estimation by which it is possible to automate LSA, without requiring any a priori knowledge, and to improve the final segmentation

Picnik - free online photo editing

Need to edit an image but don't have any software? No problem - you can do it all online for free at this website - and no annoying adverts either.

TLC Colombia-Corea del Sur : análisis sobre la competitividad de Colombia

El trabajo de grado toma como base los estudios de factibilidad del tratado de libre comercio entre Colombia y Corea del Sur realizados por Fedesarrollo y la Universidad de Seoul, realizando un mayor análisis en algunos aspectos donde era necesario, se procede a un análisis estadístico que lleva a la sectorización de los mercados con mayor potencial para el comercio bilateral, lo que permite observar el grado de competencia y la segmentación que se presenta dentro de cada uno de ellos. Todo lo anterior conlleva a una clara indentificación de las actividades que se beneficiarán con la eventual firma del tratado.

Ethics primer : A free download

Aimed at secondary school science classrooms, but a useful for a basic introduction

VADS: free art and design images for education

VADS is the online resource for visual arts. It has provided services to the academic community for 12 years and has built up a considerable portfolio of visual art collections comprising over 100,000 images that are freely available and copyright cleared for use in learning, teaching and research in the UK.

Copyright Free Images - Physical Chemistry

These images have been created for use in Physical Chemistry slides to overcome copyright issues when recording lectures. They are free to use without restrictions, although we do not accept responsibility for any errors in the images. Please let us know if you spot any errors, though! Please view the catalogue document for a description of the images. We intend to add to this collection on an ongoing basis. Check back for updates. Current content - 43 images. Last update: August 31st 2011

RTS-3 Task: Free writing inspirations

Warm up thinking exercise

determinismo; free will; psychology; science; profession

The discussion about the freewill and determinism con- troversy in human behavior is an old one in philosophy and psychology. Despite the fact that discussions on the topic are abundant, some of its implications seem to go unnoticed by psychologists, and especially by students of psychology. We argue that to the same extent that a psychologist is far from the determinism he imposes -a priori and unnecessary-constraints on the development of psychology as a science and profession. As a result, we suggest that the adoption of determinism as a wor- king hypothesis, is an important attitude for the transformation of psychology into a more effective science and profession.