Valoración del costo de los recursos propios de las empresas. caso particular: empresas de servicios a la persona en Francia

El WACC o Coste Medio Ponderado de Capital es la tasa a la que se deben descontar los flujos para evaluar un proyecto o empresa. Para calcular esta tasa es necesario determinar el costo de la deuda y el costo de los recursos propios de la compañía; el costo de la deuda es la tasa actual del mercado que la empresa está pagando por su deuda, sin embargo el costo de los recursos propios podría ser difícil y más complejo de estimar ya que no existe un costo explícito. En este trabajo se presenta un panorama de las teorías propuestas a lo largo de la historia para calcular el costo de los recursos propios. Como caso particular, se estimará el costo de los recursos propios sin apalancamiento financiero de seis empresas francesas que no cotizan en bolsa y pertenecientes al sector de Servicios a la Persona (SAP). Para lograr lo anterior, se utilizará el Proceso de Análisis Jerárquico (AHP) y el Modelo de Valoración del Precio de los Activos Financieros (CAPM) con base en lo presentado por Martha Pachón (2013) en “Modelo alternativo para calcular el costo de los recursos propios”.

Innovación en tecnologías digitales

Los videojuegos ya no deberían ser vistos como el dominio exclusivo de adolescentes, sino más bien como parte de una corriente comercial, de hecho su impacto en la sociedad es de gran alcance. Por ejemplo, las innovaciones líderes en el área de diseño de procesadores, gráficos y la inteligencia artificial están siendo impulsados por la industria de los videojuegos, de esta manera es posible que en la actualidad el software del juego se utilice para entrenar a los soldados para la batalla, y entrenar a los pilotos en los controles de vuelo y de navegación. (Wesley & Balzac, 2010)

Asistentes virtuales en plataformas 3.0

Los asistentes virtuales son herramientas inteligentes que ayudan a los usuarios a buscar información en un conglomerado de recursos web. El despliegue natural de los mismos se realiza en las propias páginas web, donde permiten resolver las dudas de los usuarios formuladas en lenguaje natural usando técnicas de Inteligencia Artificial. En este artículo presentamos las características más relevantes del asistente virtual Elvira y su integración en la página web de la Universidad de Granada. De forma paralela a la aparición de los asistentes virtuales, en la última década, los avances tecnológicos han hecho que el acceso a la información se produzca desde diferentes fuentes, trasladando la necesidad de la asistencia artificial a otros ámbitos. En este trabajo, detallamos la ampliación de los despliegues del asistente virtual Elvira sobre dispositivos móviles y redes sociales.

Automatic mass segmentation in mammographic images

Aquesta tesi està emmarcada dins la detecció precoç de masses, un dels símptomes més clars del càncer de mama, en imatges mamogràfiques. Primerament, s'ha fet un anàlisi extensiu dels diferents mètodes de la literatura, concloent que aquests mètodes són dependents de diferent paràmetres: el tamany i la forma de la massa i la densitat de la mama. Així, l'objectiu de la tesi és analitzar, dissenyar i implementar un mètode de detecció robust i independent d'aquests tres paràmetres. Per a tal fi, s'ha construït un patró deformable de la massa a partir de l'anàlisi de masses reals i, a continuació, aquest model és buscat en les imatges seguint un esquema probabilístic, obtenint una sèrie de regions sospitoses. Fent servir l'anàlisi 2DPCA, s'ha construït un algorisme capaç de discernir aquestes regions són realment una massa o no. La densitat de la mama és un paràmetre que s'introdueix de forma natural dins l'algorisme.

Architecture for Living Neuronal Network Control of a mobile robot

The intelligent controlling mechanism of a typical mobile robot is usually a computer system. Research is however now ongoing in which biological neural networks are being cultured and trained to act as the brain of an interactive real world robot – thereby either completely replacing or operating in a cooperative fashion with a computer system. Studying such neural systems can give a distinct insight into biological neural structures and therefore such research has immediate medical implications. The principal aims of the present research are to assess the computational and learning capacity of dissociated cultured neuronal networks with a view to advancing network level processing of artificial neural networks. This will be approached by the creation of an artificial hybrid system (animat) involving closed loop control of a mobile robot by a dissociated culture of rat neurons. This paper details the components of the overall animat closed loop system architecture and reports on the evaluation of the results from preliminary real-life and simulated robot experiments.

Gentlemen, stop your engines!

For fifty years, computer chess has pursued an original goal of Artificial Intelligence, to produce a chess-engine to compete at the highest level. The goal has arguably been achieved, but that success has made it harder to answer questions about the relative playing strengths of man and machine. The proposal here is to approach such questions in a counter-intuitive way, handicapping or stopping-down chess engines so that they play less well. The intrinsic lack of man-machine games may be side-stepped by analysing existing games to place computer engines as accurately as possible on the FIDE ELO scale of human play. Move-sequences may also be assessed for likelihood if computer-assisted cheating is suspected.

Automated pre-processing strategies for species occurrence data used in biodiversity modelling

To construct Biodiversity richness maps from Environmental Niche Models (ENMs) of thousands of species is time consuming. A separate species occurrence data pre-processing phase enables the experimenter to control test AUC score variance due to species dataset size. Besides, removing duplicate occurrences and points with missing environmental data, we discuss the need for coordinate precision, wide dispersion, temporal and synonymity filters. After species data filtering, the final task of a pre-processing phase should be the automatic generation of species occurrence datasets which can then be directly ’plugged-in’ to the ENM. A software application capable of carrying out all these tasks will be a valuable time-saver particularly for large scale biodiversity studies.

Wireless sensor networks

This paper provides an introduction to Wireless Sensor Networks (WSN), their applications in the field of control engineering and elsewhere and gives pointers to future research needs. WSN are collections of stand-alone devices which, typically, have one or more sensors (e.g. temperature, light level), some limited processing capability and a wireless interface allowing communication with a base station. As they are usually battery powered, the biggest challenge is to achieve the necessary monitoring whilst using the least amount of power.

Verifying and fixing password authentication protocol

Password Authentication Protocol (PAP) is widely used in the Wireless Fidelity Point-to-Point Protocol to authenticate an identity and password for a peer. This paper uses a new knowledge-based framework to verify the PAP protocol and a fixed version. Flaws are found in both the original and the fixed versions. A new enhanced protocol is provided and the security of it is proved The whole process is implemented in a mechanical reasoning platform, Isabelle. It only takes a few seconds to find flaws in the original and the fixed protocol and to verify that the enhanced version of the PAP protocol is secure.

Multi-agent building control in shared environment

Multi-agent systems have been adopted to build intelligent environment in recent years. It was claimed that energy efficiency and occupants' comfort were the most important factors for evaluating the performance of modem work environment, and multi-agent systems presented a viable solution to handling the complexity of dynamic building environment. While previous research has made significant advance in some aspects, the proposed systems or models were often not applicable in a "shared environment". This paper introduces an ongoing project on multi-agent for building control, which aims to achieve both energy efficiency and occupants' comfort in a shared environment.

Architecture for neuronal cell control of a mobile robot

It is usually expected that the intelligent controlling mechanism of a robot is a computer system. Research is however now ongoing in which biological neural networks are being cultured and trained to act as the brain of an interactive real world robot - thereby either completely replacing or operating in a cooperative fashion with a computer system. Studying such neural systems can give a distinct insight into biological neural structures and therefore such research has immediate medical implications. In particular, the use of rodent primary dissociated cultured neuronal networks for the control of mobile `animals' (artificial animals, a contraction of animal and materials) is a novel approach to discovering the computational capabilities of networks of biological neurones. A dissociated culture of this nature requires appropriate embodiment in some form, to enable appropriate development in a controlled environment within which appropriate stimuli may be received via sensory data but ultimate influence over motor actions retained. The principal aims of the present research are to assess the computational and learning capacity of dissociated cultured neuronal networks with a view to advancing network level processing of artificial neural networks. This will be approached by the creation of an artificial hybrid system (animal) involving closed loop control of a mobile robot by a dissociated culture of rat neurons. This 'closed loop' interaction with the environment through both sensing and effecting will enable investigation of its learning capacity This paper details the components of the overall animat closed loop system and reports on the evaluation of the results from the experiments being carried out with regard to robot behaviour.