Export platform FDI and firm heterogeneity

This paper investigates theoretically and empirically firms' productivity ranking among traditional horizontal foreign direct investment (HFDI), pure platform FDI (PFDI), and complex platform FDI (CFDI). Using data on Japanese outward FDI, we define firms conducting HFDI or PFDI as those Japanese firms that maintain production affiliates only in the U.S. or Mexico, respectively. The firms for CFDI are defined as having production affiliates in both the U.S. and Mexico. The theoretical illustration shows that the CFDI firms should have the highest productivity when trade costs between the U.S. and Mexico are low. By carefully disentangling firms' self-selection effects from learning-by-investing effects, we find some evidence consistent with this hypothesis for a period of relatively low trade costs. Our results indicate the importance of trade costs in developing countries with neighboring markets in attracting foreign investment by highly productive multinational firms.

Export platform foreign direct investment : theory and evidence

This paper proposes a model that accounts for “export platform” FDI – a form of FDI that is common in the data but rarely discussed in the theoretical literature. Unlike the previous literature, this paper’s theory nests all the typical modes of supply, including exports, horizontal and vertical FDI, horizontal and vertical export platform FDI. The theory yields the testable hypothesis that a decrease in either inter-regional or intra-regional trade costs induces firms to choose export platform FDI. The empirical analysis provides descriptive statistics which point to large proportions of third country exports of US FDI, and an econometric analysis, whose results are in line with the model’s predictions. The last section suggests policy implications for nations seeking to attract FDI.

Mathematical model for manoeuvrability of a riverine support patrol vessel with a pump-jet propulsion system

A study on the manoeuvrability of a riverine support patrol vessel is made to derive a mathematical model and simulate maneuvers with this ship. The vessel is mainly characterized by both its wide-beam and the unconventional propulsion system, that is, a pump-jet type azimuthal propulsion. By processing experimental data and the ship characteristics with diverse formulae to find the proper hydrodynamic coefficients and propulsion forces, a system of three differential equations is completed and tuned to carry out simulations of the turning test. The simulation is able to accept variable speed, jet angle and water depth as input parameters and its output consists of time series of the state variables and a plot of the simulated path and heading of the ship during the maneuver. Thanks to the data of full-scale trials previously performed with the studied vessel, a process of validation was made, which shows a good fit between simulated and full-scale experimental results, especially on the turning diameter

Ship manoeuvrability: full scale trials of colombian navy riverine support patrol vessel

Methodology and results of full scale maneuvering trials for Riverine Support Patrol Vessel “RSPV”, built by COTECMAR for the Colombian Navy are presented. !is ship is equipped with a “Pump – Jet” propulsion system and the hull corresponds to a wide-hull with a high Beam – Draft ratio (B/T=9.5). Tests were based on the results of simulation of turning diameters obtained from TRIBON M3© design software, applying techniques of Design of Experiments “DOE”, to rationalize the number of runs in di"erent conditions of water depth, ship speed, and rudder angle. Results validate the excellent performance of this class of ship and show that turning diameter and other maneuvering characteristics improve with decreasing water depth.

An Experimental Platform for large-scale research facing FI-IoT scenarios

Providing experimental facilities for the Internet of Things (IoT) world is of paramount importance to materialise the Future Internet (FI) vision. The level of maturity achieved at the networking level in Sensor and Actuator networks (SAN) justifies the increasing demand on the research community to shift IoT testbed facilities from the network to the service and information management areas. In this paper we present an Experimental Platform fulfilling these needs by: integrating heterogeneous SAN infrastructures in a homogeneous way; providing mechanisms to handle information, and facilitating the development of experimental services. It has already been used to deploy applications in three different field trials: smart metering, smart places and environmental monitoring and it will be one of the components over which the SmartSantander project, that targets a large-scale IoT experimental facility, will rely on

A User Centered Design Approach for Patient Interfaces to a Diabetes IT Platform

Improving patient self-management can have a greater impact than improving any clinical treatment (WHO). We propose here a systematic and comprehensive user centered design approach for delivering a technological platform for diabetes disease management. The system was developed under the METABO research project framework, involving patients from 3 different clinical centers in Parma, Modena and Madrid.

ITER fast plan system controlle prototype based on PXI platform

Presentación de una ponencia invitada en el 4th Annual Pan-European Big Physics Symposium

ITER fast plant system controller prototype based on PXIe platform

The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

Cost and energy efficient reconfigurable embedded platform using Spartan-6 FPGAs

Modern FPGAs with run-time reconfiguration allow the implementation of complex systems offering both the flexibility of software-based solutions combined with the performance of hardware. This combination of characteristics, together with the development of new specific methodologies, make feasible to reach new points of the system design space, and make embedded systems built on these platforms acquire more and more importance. However, the practical exploitation of this technique in fields that traditionally have relied on resource restricted embedded systems, is mainly limited by strict power consumption requirements, the cost and the high dependence of DPR techniques with the specific features of the device technology underneath. In this work, we tackle the previously reported problems, designing a reconfigurable platform based on the low-cost and low-power consuming Spartan-6 FPGA family. The full process to develop the platform will be detailed in the paper from scratch. In addition, the implementation of the reconfiguration mechanism, including two profiles, is reported. The first profile is a low-area and low-speed reconfiguration engine based mainly on software functions running on the embedded processor, while the other one is a hardware version of the same engine, implemented in the FPGA logic. This reconfiguration hardware block has been originally designed to the Virtex-5 family, and its porting process will be also described in this work, facing the interoperability problem among different families.

ITER Fast Plant System Controller Prototype Based on Commercial PXI Platform

The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

PREVIRNEC A new platform for cognitive tele-rehabilitation

Acquired Brain Injury (ABI), either caused by vascular or traumatic nature, is one of the most important causes for neurological disabilities. People who suffer ABI see how their quality of life decreases, due to the affection of one or some of the cognitive functions (memory, attention, language or executive functions). The traditional cognitive rehabilitation protocols are too expensive, so every help carried out in this area is justified. PREVIRNEC is a new platform for cognitive tele-rehabilitation that allows the neuropsychologist to schedule rehabilitation sessions consisted of specifically designed tasks, plus offering an additional way of communication between neuropsychologists and patients. Besides, the platform offers a knowledge management module that allows the optimization of the cognitive rehabilitation to this kind of patients.

eMathTeacher Platform Suite

La idea inicial de este proyecto surge de la necesidad de desarrollar una herramienta software que ayudase a estudiantes de un curso de iniciación de álgebra lineal a adquirir los conceptos expuestos en el curso mediante la asistencia de cálculos y la representación visual de conceptos e ideas. Algunas de las características o funcionalidades que debería cumplir la herramienta serían: cálculo simbólico, representación simbólica, interfaz gráfico interactivo (point-and-click para realizar operaciones y cálculos, inserción de elementos gráficos mediante drag-and-drop desde una paleta de elementos, representación visual esquemática, representación gráfica 2D y 3D...), persistencia del modelo de datos, etc. Esta fase de un proyecto puede definirse como el – qué –. El siguiente paso o fase del proyecto trata del diseño del proyecto o el – cómo –. Cómo realizar el cálculo numérico, cómo representar símbolos matemáticos en pantalla, cómo crear una paleta de elementos. . . Seguramente existen bibliotecas o APIs de programación para realizar todas estas tareas, sin embargo, su utilización exige al programador tiempo de aprendizaje y el diseño de integración de las diferentes bibliotecas (compatibilidad de versiones, mecanismos de comunicación entre ellas, configuración, etc.). Lo primero puede resolverse fácilmente dedicando tiempo de estudio a la documentación, pero ya implica tiempo. Lo segundo implica además tener que tomar decisiones sobre cómo realizar la integración, no es trivial llegar a dibujar en pantalla, mediante una API de visualización gráfica, una matriz resultado de realizar ciertas operaciones mediante un API de cálculo de álgebra lineal. Existen varias bibliotecas de cálculo de álgebra lineal en las que apoyarse para realizar cálculos. Así pues, es fácil encontrar una biblioteca o API con funciones para realizar operaciones con matrices. Lo que no resulta tan sencillo es encontrar un API que permita definir al programador los mecanismos para representar la matriz en pantalla o para que el usuario introduzca los valores de la matriz. Es en estas últimas tareas en las que el programador se ve obligado a dedicar la mayor parte del tiempo de desarrollo. El resultado de este proyecto supone una gran simplificación de esta segunda fase, la parte del – cómo –, estableciendo una plataforma sobre la que futuros desarrollos puedan basarse para obtener resultados de alta calidad sin tener que preocuparse de las tareas ajenas a la lógica del programa.