Tax+

Un grupo de estudiantes de la Universidad del Rosario encontró la oportunidad de iniciar un proyecto basado en la recuperación de impuestos de renta de los ciudadanos colombianos que trabajan o trabajaron en Estados Unidos, bajo el tipo de visa J1. El mercado en Colombia actualmente se encuentra constituido por aproximadamente 4.256 consumidores cuyo consumo per cápita es de $ 2.143.800 de pesos, la estrategia a utilizar para captar un nivel de clientes importante esta resguardada en el valor agregado del servicio, este pretende ofrecer un precio más bajo que la competencia incrementando la tasa de retorno de impuestos para nuestros clientes. Para iniciar, durante el primer año se espera obtener un 20% de participación en el mercado con 889 clientes, lo que conforma un promedio de 75 personas mensuales. Los pasos que se deben seguir para realizar el trámite de recuperación de impuestos son: 1) Contactar al cliente y darle la información, 2) Envió de los requisitos y formularios para que llene el cliente, 3) Devolución de los papeles diligenciados por el cliente, 4) Envió de papeles a Estados Unidos, 5) Contacto con el agente y devolución del dinero, 6) Informar al estudiante que ya está su dinero, 7) Encuesta de satisfacción. Para esto es necesario contar con un equipo conformado por un gerente general, gerente financiero, gerente de servicio al cliente y gerente comercial. La compañía estará ubicada en Bogotá, sin embargo, Tax + aspira tener un crecimiento importante en el país entrando a ciudades con una actividad importante dentro del mercado de work and travel como lo son Medellín, Cali y Barranquilla. El proyecto se iniciará con la constitución de una sociedad anónima simplificada (S.A.S.), una inversión total de $ 26.000.000 de pesos, la cual se encuentra constituida por un aporte de $ 6.500.000 pesos de cada uno de los miembros del equipo emprendedor, con esto se pretende adquirir los activos fijos y capital necesarios para iniciar el funcionamiento de la empresa. 10 Durante el primer año se espera tener unos ingresos de $ 355.600.000 de pesos, para el segundo año se pretende incrementar el número de clientes a 964, lo cual constituye unos ingresos equivalentes a $ 471.328.000 de pesos, y para el tercer año las ventas esperadas deberán alcanzar los $ 538.204.160 de pesos, que generan una rentabilidad sobre ventas del 6,31%, 0,73% y 1,6%, respectivamente. Para alcanzar el punto de equilibrio la empresa debe vender $322.083.104 al año, lo que indica que se puede alcanzar en el primer año de operación. En el primer año de operación se obtiene un flujo de efectivo de $43.272.320, en el segundo año, $5.570.581 y en el tercero $11.521.539. La tasa interna de retorno del proyecto es de 89,99% y la inversión se recupera en el tercer año de operación.

Repostería Mint S.A.S

Mint es una repostería especializada para personas con problemas como diabetes y obesidad, que estará ubicada en localidades de Bogotá, donde existen mayores índices de este problema, inicialmente estaremos en Kennedy, una localidad con mayor población que padece la diabetes y obesidad en niños y adultos mayores. Mint busca cambiar el concepto de comida saludable o especializada en diabéticos, de aburrida, de mal sabor y poco agradable al consumo, por gran variedad de sabores, texturas y diseños. Este concepto se cambiará principalmente, a través del diseño de los productos, así como la decoración de la tienda, dado que estamos ubicados en estratos 2, 3 y 4, nuestros productos estarán condicionados al poder adquisitivo de nuestros consumidores. El local tendrá un área total de 87,4 m cuadrado, donde predomina el color y el diseño, funcionará de domingo a domingo en un horario de 10 am a 8 pm. La idea no solo es la venta de productos, sino realizar una concientización del cliente de lo más importante, su salud. La inversión estimada en maquinaria será de 6.510.000, equipo de 3.200.000 y los muebles enseres de 6.500.000, adicional, los costos operacionales mensuales estimados son de 15.473.400, donde el punto de equilibrio se logrará en el momento de venta de 467. 465.004. El local proporcionará diferentes campañas de fidelización, tales como promociones y descuentos, así como la posibilidad de pedir domicilios a través de internet.

Alavancagem como instrumento de estratégia operacional: o caso da obra de construção da nova sede da Assembléia Legislativa do Estado do Maranhão

Devido à grande competitividade do mercado atual, estão em vantagem competitiva aquelas empresas que conhecem profundamente seus resultados financeiros, para que a partir deste conhecimento seus gestores possam tomar decisões visando a maximização do lucro. Dentro deste pensamento, esta pesquisa trata da alavancagem como instrumento de estratégia operacional, para isso apresenta o estudo de caso de uma obra de construção civil, setor este cuja mão-de-obra é um significante insumo, cujos funcionários de produção trabalham horas extras, aumentando o lucro da empresa. O objetivo do presente trabalho é demonstrar como a alavancagem operacional pode ser utilizada como instrumento de estratégia operacional neste contexto. Quanto aos fins se trata de uma pesquisa descritiva e aplicada; quanto aos meios é bibliográfica, documental e de campo. Foi realizada na obra de construção da nova sede da Assembléia Legislativa do Estado do Maranhão que está sendo executada pela empresa Petra Construções Ltda na cidade de São Luís.

GPX - Gardens Point XML Information Retrieval at INEX 2004

Traditional information retrieval (IR) systems respond to user queries with ranked lists of relevant documents. The separation of content and structure in XML documents allows individual XML elements to be selected in isolation. Thus, users expect XML-IR systems to return highly relevant results that are more precise than entire documents. In this paper we describe the implementation of a search engine for XML document collections. The system is keyword based and is built upon an XML inverted file system. We describe the approach that was adopted to meet the requirements of Content Only (CO) and Vague Content and Structure (VCAS) queries in INEX 2004.

At breaking point? Challenges for Australian film policy through the lens of genre (horror) films

Cultural policy settings attempting to foster the growth and development of the Australian feature film industry in era of globalisation are coming under increasing pressure. Global forces and emerging production and distribution models are challenging the “narrowness” of cultural policy – mandating a particular film culture, circumscribing certain notions of value and limiting the variety of films produced through cultural policy driven subvention models. Australian horror film production is an important case study. Horror films are a production strategy well suited to the financial limitations of the Australian film industry with competitive advantages for producers against international competitors. However, emerging within a “national” cinema driven by public subsidy and social/cultural objectives, horror films – internationally oriented with a low-culture status – have been severely marginalised within public funding environments. This paper introduces Australian horror film production, and examines the limitations of cultural policy, and the impacts of these questions for the Producer Offset.

Characterising anomalous events using change point correlation on unsolicited network traffic

Monitoring unused or dark IP addresses offers opportunities to extract useful information about both on-going and new attack patterns. In recent years, different techniques have been used to analyze such traffic including sequential analysis where a change in traffic behavior, for example change in mean, is used as an indication of malicious activity. Change points themselves say little about detected change; further data processing is necessary for the extraction of useful information and to identify the exact cause of the detected change which is limited due to the size and nature of observed traffic. In this paper, we address the problem of analyzing a large volume of such traffic by correlating change points identified in different traffic parameters. The significance of the proposed technique is two-fold. Firstly, automatic extraction of information related to change points by correlating change points detected across multiple traffic parameters. Secondly, validation of the detected change point by the simultaneous presence of another change point in a different parameter. Using a real network trace collected from unused IP addresses, we demonstrate that the proposed technique enables us to not only validate the change point but also extract useful information about the causes of change points.

Robust video stabilisation algorithm using feature point selection and delta optical flow

In this study, the authors propose a novel video stabilisation algorithm for mobile platforms with moving objects in the scene. The quality of videos obtained from mobile platforms, such as unmanned airborne vehicles, suffers from jitter caused by several factors. In order to remove this undesired jitter, the accurate estimation of global motion is essential. However it is difficult to estimate global motions accurately from mobile platforms due to increased estimation errors and noises. Additionally, large moving objects in the video scenes contribute to the estimation errors. Currently, only very few motion estimation algorithms have been developed for video scenes collected from mobile platforms, and this paper shows that these algorithms fail when there are large moving objects in the scene. In this study, a theoretical proof is provided which demonstrates that the use of delta optical flow can improve the robustness of video stabilisation in the presence of large moving objects in the scene. The authors also propose to use sorted arrays of local motions and the selection of feature points to separate outliers from inliers. The proposed algorithm is tested over six video sequences, collected from one fixed platform, four mobile platforms and one synthetic video, of which three contain large moving objects. Experiments show our proposed algorithm performs well to all these video sequences.

A point interpolation method with locally smoothed strain field (PIM-LS2) for mechanics problems using triangular mesh

A point interpolation method with locally smoothed strain field (PIM-LS2) is developed for mechanics problems using a triangular background mesh. In the PIM-LS2, the strain within each sub-cell of a nodal domain is assumed to be the average strain over the adjacent sub-cells of the neighboring element sharing the same field node. We prove theoretically that the energy norm of the smoothed strain field in PIM-LS2 is equivalent to that of the compatible strain field, and then prove that the solution of the PIM- LS2 converges to the exact solution of the original strong form. Furthermore, the softening effects of PIM-LS2 to system and the effects of the number of sub-cells that participated in the smoothing operation on the convergence of PIM-LS2 are investigated. Intensive numerical studies verify the convergence, softening effects and bound properties of the PIM-LS2, and show that the very ‘‘tight’’ lower and upper bound solutions can be obtained using PIM-LS2.

An enriched radial point interpolation method (e-RPIM) for analysis of crack tip fields

In this paper, an enriched radial point interpolation method (e-RPIM) is developed the for the determination of crack tip fields. In e-RPIM, the conventional RBF interpolation is novelly augmented by the suitable trigonometric basis functions to reflect the properties of stresses for the crack tip fields. The performance of the enriched RBF meshfree shape functions is firstly investigated to fit different surfaces. The surface fitting results have proven that, comparing with the conventional RBF shape function, the enriched RBF shape function has: (1) a similar accuracy to fit a polynomial surface; (2) a much better accuracy to fit a trigonometric surface; and (3) a similar interpolation stability without increase of the condition number of the RBF interpolation matrix. Therefore, it has proven that the enriched RBF shape function will not only possess all advantages of the conventional RBF shape function, but also can accurately reflect the properties of stresses for the crack tip fields. The system of equations for the crack analysis is then derived based on the enriched RBF meshfree shape function and the meshfree weak-form. Several problems of linear fracture mechanics are simulated using this newlydeveloped e-RPIM method. It has demonstrated that the present e-RPIM is very accurate and stable, and it has a good potential to develop a practical simulation tool for fracture mechanics problems.

An enriched radial point interpolation method (e-RPIM) for analysis of crack tip fields

In this paper, an enriched radial point interpolation method (e-RPIM) is developed the for the determination of crack tip fields. In e-RPIM, the conventional RBF interpolation is novelly augmented by the suitable trigonometric basis functions to reflect the properties of stresses for the crack tip fields. The performance of the enriched RBF meshfree shape functions is firstly investigated to fit different surfaces. The surface fitting results have proven that, comparing with the conventional RBF shape function, the enriched RBF shape function has: (1) a similar accuracy to fit a polynomial surface; (2) a much better accuracy to fit a trigonometric surface; and (3) a similar interpolation stability without increase of the condition number of the RBF interpolation matrix. Therefore, it has proven that the enriched RBF shape function will not only possess all advantages of the conventional RBF shape function, but also can accurately reflect the properties of stresses for the crack tip fields. The system of equations for the crack analysis is then derived based on the enriched RBF meshfree shape function and the meshfree weak-form. Several problems of linear fracture mechanics are simulated using this newlydeveloped e-RPIM method. It has demonstrated that the present e-RPIM is very accurate and stable, and it has a good potential to develop a practical simulation tool for fracture mechanics problems.

Similarity metrics within a point of view

In vector space based approaches to natural language processing, similarity is commonly measured by taking the angle between two vectors representing words or documents in a semantic space. This is natural from a mathematical point of view, as the angle between unit vectors is, up to constant scaling, the only unitarily invariant metric on the unit sphere. However, similarity judgement tasks reveal that human subjects fail to produce data which satisfies the symmetry and triangle inequality requirements for a metric space. A possible conclusion, reached in particular by Tversky et al., is that some of the most basic assumptions of geometric models are unwarranted in the case of psychological similarity, a result which would impose strong limits on the validity and applicability vector space based (and hence also quantum inspired) approaches to the modelling of cognitive processes. This paper proposes a resolution to this fundamental criticism of of the applicability of vector space models of cognition. We argue that pairs of words imply a context which in turn induces a point of view, allowing a subject to estimate semantic similarity. Context is here introduced as a point of view vector (POVV) and the expected similarity is derived as a measure over the POVV's. Different pairs of words will invoke different contexts and different POVV's. Hence the triangle inequality ceases to be a valid constraint on the angles. We test the proposal on a few triples of words and outline further research.

A restrike waveform predictive model for shunt capacitor bank switching with point-on-wave recommendation

Circuit-breakers (CBs) are subject to electrical stresses with restrikes during capacitor bank operation. Stresses are caused by the overvoltages across CBs, the interrupting currents and the rate of rise of recovery voltage (RRRV). Such electrical stresses also depend on the types of system grounding and the types of dielectric strength curves. The aim of this study is to demonstrate a restrike waveform predictive model for a SF6 CB that considered the types of system grounding: grounded and non-grounded and the computation accuracy comparison on the application of the cold withstand dielectric strength and the hot recovery dielectric strength curve including the POW (point-on-wave) recommendations to make an assessment of increasing the CB remaining life. The simulation of SF6 CB stresses in a typical 400 kV system was undertaken and the results in the applications are presented. The simulated restrike waveforms produced with the identified features using wavelet transform can be used for restrike diagnostic algorithm development with wavelet transform to locate a substation with breaker restrikes. This study found that the hot withstand dielectric strength curve has less magnitude than the cold withstand dielectric strength curve for restrike simulation results. Computation accuracy improved with the hot withstand dielectric strength and POW controlled switching can increase the life for a SF6 CB.

Multiview point cloud kernels for semisupervised learning [Lecture Notes]

In semisupervised learning (SSL), a predictive model is learn from a collection of labeled data and a typically much larger collection of unlabeled data. These paper presented a framework called multi-view point cloud regularization (MVPCR), which unifies and generalizes several semisupervised kernel methods that are based on data-dependent regularization in reproducing kernel Hilbert spaces (RKHSs). Special cases of MVPCR include coregularized least squares (CoRLS), manifold regularization (MR), and graph-based SSL. An accompanying theorem shows how to reduce any MVPCR problem to standard supervised learning with a new multi-view kernel.