An important characteristic of Service-Oriented Architectures is that clients do not depend on the service implementation's internal assignment of methods to objects. It is perhaps the most important technical characteristic that differentiates them from more common object-oriented solutions. This characteristic makes clients and services malleable, allowing them to be rearranged at run-time as circumstances change. That improvement in malleability is impaired by requiring clients to direct service requests to particular services. Ideally, the clients are totally oblivious to the service structure, as they are to aspect structure in aspect-oriented software. Removing knowledge of a method implementation's location, whether in object or service, requires re-defining the boundary line between programming language and middleware, making clearer specification of dependence on protocols, and bringing the transaction-like concept of failure scopes into language semantics as well. This paper explores consequences and advantages of a transition from object-request brokering to service-request brokering, including the potential to improve our ability to write more parallel software.

The Diploma thesis deals with the testing of electrically assisted turbochargers. Aim of this work is to apply the established way of the performance testing of conventional turbochargers for electrically assisted turbocharger. Part of this work is to create a program for the calculation of the observed characteristics of the turbocharger. The program is extended to the characteristics of the generator for electrically assisted turbocharger. The program will serve as a basic for control the data for tested motorsport applications.

La investigación realizada a los sistemas de seguridad electrónica de edificios, plantea como objetivo principal el reconocimiento de tres gestos de un lenguaje corporal del personal de vigilancia, y la consecuente activación de alarma en forma automática. Inicialmente se realizó una encuesta dirigida a las administraciones y personal de edificios, para saber cuales eran las ocurrencias que vulneraban la seguridad de un edificio multifamiliar, luego se observaron y analizaron las imágenes capturadas por una cámara de vigilancia ubicada en la recepción, identificando las ocurrencias más vulnerables y gestos asociados a dichos eventos; se seleccionaron tres gestos que en forma inconsciente realizaba el personal de vigilancia ante dichas situaciones. A determinados cuadros que comprenden estas imágenes se le aplicaron técnicas de procesamiento espacial, con ayuda de una iluminación artificial que era más intensa en la parte posterior del sujeto de análisis, consiguiéndose la definición de una silueta binarizada en el entorno Matlab, técnicas como selección del plano rojo, plano de bits más significativo, invertir imagen y transformaciones morfológicas tipo cerradura, definieron una silueta que ayudó a desarrollar un algoritmo matemático para generar una señal eléctrica en el puerto serial USB del ordenador, donde se conectó físicamente una plataforma de hardware Arduino que activa la alarma. La elección de esta plataforma se debió a que Matlab cuenta con un grupo de instrucciones para Arduino, con el objetivo de lograr una comunicación sincronizada entre ordenador e interface. Las técnicas utilizadas reconocieron 62,5% de los eventos descritos en las encuestas realizadas y que no son mencionadas en temas de investigación similar. Para lograr el objetivo fue necesario analizar un cuadro por segundo. The research poses as their main objective the three gestures recognition of a body language of surveillance personnel and the consequent activation of alarm automatically. It was initially carried out a survey of the administration and the offices of the buildings to know which were the occurrences that violate the security of a multi-family building, then were observed and analyzed images captured by a surveillance camera located in the reception, identifying the most vulnerable occurrences and gestures associated with these events; were selected three gestures that unconsciously performs surveillance personnel before such situations; to certain pictures that comprise these images were applied spatial processing techniques, with the help of an artificial lighting that was more intense in the back of the subject of analysis, getting the definition of a silhouette binarized in the Matlab environment, techniques such as plane selection red, more significant bit plane, to invest an image and convolution close type, defined a silhouette that allowed to develop a mathematical algorithm that generated an electrical signal in USB serial port of the computer, where it is physically connected a hardware platform Arduino that active the alarm.This platform choice is due to the fact that Matlab has a group of instructions for Arduino, achieving an orderly communication between computer and interface. The techniques used recognized 62.5 % of the events described in the surveys carried out and which aren’t mentioned in similar research topics. To achieve the objective was necessary to analyze a picture per second.