Fault detection and isolation on a noisy nonlinear circuit

In this paper fault detection and isolation (FDI) schemes are applied in the context of the surveillance of emerging faults in an electrical circuit. The FDI problem is studied on a noisy nonlinear circuit, where both abrupt and incipient faults in the voltage source are considered. A rigorous analysis of fault detectability precedes the application of the fault detection (FD) scheme; then, the fault isolation (FI) phase is accomplished with two alternative FI approaches, proposed as new extensions of that FD approach. Numerical simulations illustrate the applicability of the mentioned schemes.

Training organization of a middle-size company engaged in information technology services: theory and practice

In order to establish an active internal know-how -reserve~ in an information processing and engineering services . company, a training architecture tailored to the company as an whole must be defined. When a company' s earnings come from . advisory services dynamically structured i.n the form of projects, as is the case at hand, difficulties arise that must be taken into account in the architectural design. The first difficulties are of a psychological nature and the design method proposed here begjns wi th the definition of the highest training metasystem, which is aimed at making adjustments for the variety of perceptions of the company's human components, before the architecture can be designed. This approach may be considered as an application of the cybernetic Law of Requisita Variety (Ashby) and of the Principle of Conceptual Integrity (Brooks) . Also included is a description of sorne of the results of the first steps of metasystems at the level of company organization.

Neural bruise prediction models for fruit handling and machinery evaluation.

Some neural bruise prediction models have been implemented in the laboratory, for the most traded fruit species and varieties, allowing the prediction of the acceptability or rejectability for damages, with respect to the EC Standards. Different models have been built for both quasi-static (compression) and dynamic (impact) loads covering the whole commercial ripening period of fruits. A simulation process has been developed gathering the information on laboratory bruise models and load sensor calibrations for different electronic devices (IS-100 and DEA-1, for impact and compression loads respectively). Some evaluation methodology has been designed gathering the information on the mechanical properties of fruits and the loading records of electronic devices. The evaluation system allows to determine the current stage of fruit handling process and machinery.

Controlling moisture loss as a tool to reduce bruise susceptibility.

A method to reduce the bruise susceptibility of apples by controlling the moisture loss of the fruit was evaluated. Previous research indicates that reduction of the relative humidity of the storage air leads to an immediate effect on the weight loss and on skin properties and to a lower bruise susceptibility of apples. The diffusion equation is used to determine the waterpotential profile inside the fruit during storage. Characteristics of the waterpotential distribution in the fruit are related to measured bruise volumes. The results indicate how /this model can be used to control bruise susceptibility.

Autonomous Landing of an Unmanned Aerial Vehicle using Image-Based Fuzzy Control

This paper presents a vision based autonomous landing control approach for unmanned aerial vehicles (UAV). The 3D position of an unmanned helicopter is estimated based on the homographies estimated of a known landmark. The translation and altitude estimation of the helicopter against the helipad position are the only information that is used to control the longitudinal, lateral and descend speeds of the vehicle. The control system approach consists in three Fuzzy controllers to manage the speeds of each 3D axis of the aircraft s coordinate system. The 3D position estimation was proven rst, comparing it with the GPS + IMU data with very good results. The robust of the vision algorithm against occlusions was also tested. The excellent behavior of the Fuzzy control approach using the 3D position estimation based in homographies was proved in an outdoors test using a real unmanned helicopter.

Mixed-criticality design of a satellite software system

The continuous increment of processors computational power and the requirements on additional functionality and services are motivating a change in the way embedded systems are built. Components with different criticality level are allocated in the same processor, which give rise to mixed-criticality systems. The use of partitioned systems is a way of preventing undesirable interferences between components with different criticality level. An hypervisor provides these partitions or virtual machines, ensuring spatial, temporal and fault isolation between them. The purpose of this paper is to illustrate the development of a mixed-critical system. The attitude control subsystem is used for showing the different steps, which are supported by a toolset developed in the context of the MultiPARTES research project.

Real-Time Adaptive Multi-Classifier Multi-Resolution Visual Tracking Framework for Unmanned Aerial Vehicles

This paper presents a novel robust visual tracking framework, based on discriminative method, for Unmanned Aerial Vehicles (UAVs) to track an arbitrary 2D/3D target at real-time frame rates, that is called the Adaptive Multi-Classifier Multi-Resolution (AMCMR) framework. In this framework, adaptive Multiple Classifiers (MC) are updated in the (k-1)th frame-based Multiple Resolutions (MR) structure with compressed positive and negative samples, and then applied them in the kth frame-based Multiple Resolutions (MR) structure to detect the current target. The sample importance has been integrated into this framework to improve the tracking stability and accuracy. The performance of this framework was evaluated with the Ground Truth (GT) in different types of public image databases and real flight-based aerial image datasets firstly, then the framework has been applied in the UAV to inspect the Offshore Floating Platform (OFP). The evaluation and application results show that this framework is more robust, efficient and accurate against the existing state-of-art trackers, overcoming the problems generated by the challenging situations such as obvious appearance change, variant illumination, partial/full target occlusion, blur motion, rapid pose variation and onboard mechanical vibration, among others. To our best knowledge, this is the first work to present this framework for solving the online learning and tracking freewill 2D/3D target problems, and applied it in the UAVs.

Practical experiences on a real pumping system emulated by a hardware model and used as a remote laboratory

Paper submitted to ACE 2013, 10th IFAC Symposium on Advances in Control Education, University of Sheffield, UK, August 28-30, 2013.

Active Visual Features Based on Events to Guide Robot Manipulators in Tracking Tasks

Traditional visual servoing systems do not deal with the topic of moving objects tracking. When these systems are employed to track a moving object, depending on the object velocity, visual features can go out of the image, causing the fail of the tracking task. This occurs specially when the object and the robot are both stopped and then the object starts the movement. In this work, we have employed a retina camera based on Address Event Representation (AER) in order to use events as input in the visual servoing system. The events launched by the camera indicate a pixel movement. Event visual information is processed only at the moment it occurs, reducing the response time of visual servoing systems when they are used to track moving objects.

Experiences on using Arduino for laboratory experiments of Automatic Control and Robotics

The free hardware platforms have become very important in engineering education in recent years. Among these platforms, Arduino highlights, characterized by its versatility, popularity and low price. This paper describes the implementation of four laboratory experiments for Automatic Control and Robotics courses at the University of Alicante, which have been developed based on Arduino and other existing equipment. Results were evaluated taking into account the views of students, concluding that the proposed experiments have been attractive to them, and they have acquired the knowledge about hardware configuration and programming that was intended.

Modelling a biomass supply chain through discrete-event simulation

The organizational structure of the companies in the biomass energy sector, regarding the supply chain management services, can be greatly improved through the use of software decision support tools. These tools should be able to provide real-time alternative scenarios when deviations from the initial production plans are observed. To make this possible it is necessary to have representative production chain process models where several scenarios and solutions can be evaluated accurately. Due to its nature, this type of process is more adequately represented by means of event-based models. In particular, this work presents the modelling of a typical biomass production chain using the computing platform SIMEVENTS. Throughout the article details about the conceptual model, as well as simulation results, are provided

Forest-based supply chain modelling using the SimPy simulation framework

Proper management of supply chains is fundamental in the overall system performance of forestbased activities. Usually, efficient management techniques rely on a decision support software, which needs to be able to generate fast and effective outputs from the set of possibilities. In order to do this, it is necessary to provide accurate models representative of the dynamic interactions of systems. Due to forest-based supply chains’ nature, event-based models are more suited to describe their behaviours. This work proposes the modelling and simulation of a forestbased supply chain, in particular the biomass supply chain, through the SimPy framework. This Python based tool allows the modelling of discrete-event systems using operations such as events, processes and resources. The developed model was used to access the impact of changes in the daily working plan in three situations. First, as a control case, the deterministic behaviour was simulated. As a second approach, a machine delay was introduced and its implications in the plan accomplishment were analysed. Finally, to better address real operating conditions, stochastic behaviours of processing and driving times were simulated. The obtained results validate the SimPy simulation environment as a framework for modelling supply chains in general and for the biomass problem in particular.

The adoption of IPSASs in the Iberian Peninsula: the perspective of the standar-setters

The last decades have been fruitful in reforms in public sector accounting across the world, namely moving from cash-based into accrual-based regimes. In this process of bringing public sector accounting close to business accounting, International Public Sector Accounting Standards (IPSASs) have been developed and adopted in several countries. In the EU context, public sector harmonization among member-States is currently being considered, namely via the development of European Public Sector Accounting Standards (EPSASs). Both IPSASs and EPSASs are understood as, among other things, important to contribute for a more informative and transparent financial reporting of public sector entities and governments. Moreover they are expected to approximate public sector accounting and the National Accounts, hence allowing for more reliable information to monitor fiscal discipline among EU countries. The Iberian countries, after using accrual accounting in the public sector for more than twenty years (Spain from middle 1980s and Portugal from 1990s), have acknowledged the need to embark in an international harmonization process adopting IPSASs, particularly after the adoption of IFRSs in the business sector, which was creating some difficulties for consolidated accounts. Spain has passed the Chart of Accounts for the Public Sector through the Order EHA/1037/2010, which is adapted to IPSASs; Portugal has just passed Law-decree 192/2015, September 11, and is expecting to start implementation in 2017. In both countries a central role in this reform has been assumed by the national standard-setters for public sector accounting. Based on the “Actor Network Theory” to help understanding how and why organizations interact and how this interaction could have an impact on their choice of accounting policies, this paper aims to analyse, from the Iberian public sector accounting standard-setters perspective, how the adoption/adaptation of IPSASs has been considered and developed in these countries. Research questions to be considered are the following, which will be asked in interviews to the members of the standard-setting committees in both Portugal and Spain: • What were the driving forces leading to the decision to adopt and implement IPSASs? • Which other governmental bodies’ experiences, if any, were considered in the adoption of IPSASs? • What specific steps were/are being undertaken to prepare for the conversion from the existing system to IPSASs? • What were/are the institutional challenges faced/expected to face? • What assistance have been received from IFAC and/or IPSASB, or from other sources, if any, throughout the adoption/implementation? • How can the success of the adoption/implementation be characterised? • What benefits can/have the government derive/derived from the adoption and implementation of IPSASs? The paper is expected to contribute to the understanding of the issues underlying the process of embarking in public sector accounting reforms towards IPSASs.

The global audit profession and the international financial architecture:understanding regulatory relationships at a time of financial crisis

This paper explores how regulatory relationships in the global audit arena are being affected by the current financial crisis. Key policy initiatives and debates are analyzed, along with institutional interactions, in particular between the International Federation of Accountants (IFAC), international regulators and the large audit firms. The events are placed in the context of the new international financial architecture which has developed over the last decade. Using the illustrative lens of bank auditing, questions are asked of the nature and status of audit practice and the regulatory arrangements governing such practice. The paper shows the active nature of the regulatory responses to the crisis and the shifting and competing influences among key regulatory and professional participants in the global audit arena. Emphasis is placed on the need for audit researchers to be sensitive to the developing global financial architecture, and its potential implications for the study of audit practice in different national and international contexts.

A framework of best practice of continuing professional development for the accounting profession

The International Accounting Education Standards Board (IAESB) places a strong emphasis on individual professionals taking responsibility for their Continuing Professional Development (CPD). On the other hand, the roles performed by professional accountants have evolved out of practical necessity to 'best' suit the diverse needs of business in a global economy. This diversity has meant that professional accountants are seen in highly specialised roles requiring diverse skill sets. In order to enhance the contribution of the accountant as a knowledge professional for business, it follows that CPD that leverages off an individual's experience should be designed to meet the needs of professionals across the different specialised roles within the profession. In doing so the project identifies how CPD should differ across roles and levels of organisational responsibility for accounting professionals. The study also makes a number of policy recommendations to IAESB and IFAC. © 2013 © 2013 Taylor & Francis.