El fraude empresarial: perspectiva internacional

Este trabajo analiza el fraude empresarial desde una perspectiva internacional. En los últimos años, ha estado muy presente en casos como el de Enron, WorldCom, Royal Ahold o PARMALAT, en los que se ven afectados la propia empresa, los trabajadores, el gobierno y, especialmente, los inversores, con pérdidas que pueden alcanzar millones de dólares. El fraude también afecta a la imagen de las empresas y en la motivación de los trabajadores, y además a menudo es causa de denuncias y penas de prisión. En función del tamaño de la empresa y del sector, la frecuencia con la que se cometen los actos fraudulentos y las pérdidas causadas varían. Asimismo, estos fraudes afectan a todas las regiones del mundo, aunque de manera desigual. Pero es en aquellas regiones más desarrolladas donde se le presta más atención al tema, y donde se han tomado numerosas medidas para intentar impedir estos actos ilícitos. Algunas de las más importantes son las propuestas por las Naciones Unidas: El Pacto Mundial y la Convención contra la Corrupción. También cabe destacar la Oficina Europea de Lucha Contra el Fraude, a nivel europeo, o la Foreign Corrupt Practices Act y la Ley Sarbanes-Oxley, en Estados Unidos. A pesar de estas medidas, en los últimos años el nivel de fraude ha aumentado.

Defect and structural imperfection effects on the electronic properties of BiTeI surfaces

The surface electronic structure of the narrow-gap seminconductor BiTeI exhibits a large Rashba-splitting which strongly depends on the surface termination. Here we report on a detailed investigation of the surface morphology and electronic properties of cleaved BiTeI single crystals by scanning tunneling microscopy, photoelectron spectroscopy (ARPES, XPS), electron diffraction (SPA-LEED) and density functional theory calculations. Our measurements confirm a previously reported coexistence of Te- and I-terminated surface areas

Comparativa entre diferencial de baja impedancia de generador y de baja impedancia de transformador.

[ES]El objetivo principal de TFG es analizar y comparar el funcionamiento de las protecciones diferenciales de baja impedancia de generador y de transformador de potencia. Para ello, se describirán sus características principales de forma teórica y se realizarán simulaciones mediante el módulo SimPowersSystems contenido en Matlab.

Análisis de la influencia de los sistemas de puesta a tierra en la eficiencia de instalaciones eléctricas de baja tensión residenciales e industriales.

[EN]Nowadays, global society is more aware of electrical energy’s risks than never before, and electrical safety has turned a priority when a new installation is designed. So, a great protection to an unwanted electric hazard is required, being specially careful with indirect contacts. If a circuit has an insulation failure and an indirect contact is produced, there is risk of an accidental electrocution, risk that must be avoided by making a good choice of the grounding methodology and properly coordinating the electrical protections in the installation. In order to minimize that risk, a study of low voltage industrial and residential installation’s grounding methodologies is introduced, analyzing the tree grounding methodologies internationally accepted (TT, TN, IT). In addition, two real examples are solved (using a computer-aided engineering software), confirming the results of the theoretical study.

Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning

Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. In this paper we formalize and prove the convergence of a Distributed Round Robin Q-learning (D-RR-QL) algorithm for cooperative systems. The computational complexity of this algorithm increases linearly with the number of agents. Moreover, it eliminates environment non sta tionarity by carrying a round-robin scheduling of the action selection and execution. That this learning scheme allows the implementation of Modular State-Action Vetoes (MSAV) in cooperative multi-agent systems, which speeds up learning convergence in over-constrained systems by vetoing state-action pairs which lead to undesired termination states (UTS) in the relevant state-action subspace. Each agent's local state-action value function learning is an independent process, including the MSAV policies. Coordination of locally optimal policies to obtain the global optimal joint policy is achieved by a greedy selection procedure using message passing. We show that D-RR-QL improves over state-of-the-art approaches, such as Distributed Q-Learning, Team Q-Learning and Coordinated Reinforcement Learning in a paradigmatic Linked Multi-Component Robotic System (L-MCRS) control problem: the hose transportation task. L-MCRS are over-constrained systems with many UTS induced by the interaction of the passive linking element and the active mobile robots.

Response of the topological surface state to surface disorder in TlBiSe2

Through a combination of experimental techniques we show that the topmost layer of the topological insulator TlBiSe2 as prepared by cleavage is formed by irregularly shaped Tl islands at cryogenic temperatures and by mobile Tl atoms at room temperature. No trivial surface states are observed in photoemission at low temperatures, which suggests that these islands cannot be regarded as a clear surface termination. The topological surface state is, however, clearly resolved in photoemission experiments. This is interpreted as direct evidence of its topological self-protection and shows the robust nature of the Dirac cone-like surface state. Our results can also help explain the apparent mass acquisition in S-doped TlBiSe2.