Fatores influenciadores da gestão da qualidade e independência do auditor: um estudo de caso

Dissertação apresentada ao Instituto Superior de Contabilidade para obtenção do Grau de Mestre em Auditoria Orientada por: Doutora Alcina Dias

Simulação e controlo de veículos autónomos terrestres

A implementação e venda de robôs autónomos tem sido um sector que nos últimos anos tem adquirido cada vez mais quota no mercado, nomeadamente no sector militar, agrícola e da vigilância. Como tal, tem sido também de grande importância a capacidade de implementar e testar robôs por parte das entidades que os fabricam. Uma das formas que tem garantido o sucesso do desenvolvimento de robôs é a simulação prévia dos mesmos antes que estes passem a fase de produção. Sendo assim, o LSA como entidade de desenvolvimento de robôs autónomos, tem necessidade de adquirir um sistema que simule os robôs em desenvolvimento. O trabalho desta tese consiste na realização de um sistema que simule robôs autónomos terrestres de forma que se possa observar o comportamento da cinemática, dinânica e hardware dos robôs em ambiente 3D. Esta aplicação de simulação pode mais tarde ser utilizada pelo laboratório para testar missões, validar alterações de estrutura, sensores, etc. Para além disso, com recurso ao simulador Player/Stage/Gazebo testar o robô LINCE e implementar algoritmos de controlo para o mesmo. Os algoritmos de controlo implementados baseiam-se em primitivas de controlo básico para serem utilizadas pelo sistema de navegação e gerar trajectórias complexas. Os algoritmos desenvolvidos nesta tese baseiam-se nas equações cinemáticas do veículo estudado. Estes algoritmos depois de testados no simulador, poderão ser colocados no Hardware do robô. Desta forma consegue-se desenvolver algoritmos para determinado robô sem que este esteja operacional.

Controlo de um sistema domótico KNX

Esta dissertação descreve o estudo, concepção e desenvolvimento de uma aplicação baseada no sistema operativo Windows 8 que interage com um sistema domótico KNX, permitindo ao utilizador controlar a sua instalação domótica. Esta proposta, que combina a área de integração/instalação de sistemas domóticos e a de desenvolvimento de aplicações para Windows 8 e Windows 8 Phone, constitui um desafio particularmente interessante para quem tem experiência profissional nas duas áreas. A domótica surgiu na década de 70 como uma aplicação da eletrónica e das tecnologias da informação às instalações residenciais, comerciais e industriais. Esta nova área desencadeou uma revolução, não só, ao nível da produção e comercialização, mas, também, do ponto de vista do utilizador, ao promover a comodidade, segurança, personalização e o controlo de pessoas e bens. Os smartphones e tablets vieram permitir que o desenvolvimento de aplicações móveis de interacção com os sistemas domóticos. Ao longo desta dissertação são descritas e analisadas as múltiplas áreas de intervenção da domótica assim como as diferentes tecnologias de aplicação e mercados. Também são analisados os sistemas operativos que existentes, as respetivas cotas de mercado e os tipos de dispositivos disponíveis. Por último, a aplicação foi concebida, implementada e testada para verificar a correcta interacção com o sistema domótico KNX e as funcionalidades de controlo da instalação domótica.

Prevenção e mitigação do risco de incumprimento mais eficaz na banca de retalho

O âmbito deste trabalho é o da prevenção e mitigação do risco de uma carteira de crédito de um Banco de retalho, com uma quota significativa no mercado Português. A antecipação de potencial incumprimento é crítica para a atuação atempada do Banco junto dos clientes. Pretendeu-se analisar o poder preditivo de uma base de informação exógena (a Central) que inclui as responsabilidades creditícias dos clientes do Banco no Sistema Financeiro Português. As principais fases deste trabalho consistiram na análise e estruturação da informação da Central, de modo a integrá-la com a do Banco, compreensão das condicionantes desta informação, nomeadamente o desfasamento temporal, e finalmente, no desenvolvimento de um modelo de scoring, compatível com os sistemas e tecnologias do Banco, e de modo a alavancar o processo existente.

A Responsabilidade social empresarial na indústria de elevadores

Dissertação de Mestrado Apresentado ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação da Mestre Anabela Ribeiro

Virtual communities of practice: investigating motivations and constraints in the processes of knowledge creation and transfer

With accelerated market volatility, faster response times and increased globalization, business environments are going through a major transformation and firms have intensified their search for strategies which can give them competitive advantage. This requires that companies continuously innovate, to think of new ideas that can be transformed or implemented as products, processes or services, generating value for the firm. Innovative solutions and processes are usually developed by a group of people, working together. A grouping of people that share and create new knowledge can be considered as a Community of Practice (CoP). CoP’s are places which provide a sound basis for organizational learning and encourage knowledge creation and acquisition. Virtual Communities of Practice (VCoP's) can perform a central role in promoting communication and collaboration between members who are dispersed in both time and space. Nevertheless, it is known that not all CoP's and VCoP's share the same levels of performance or produce the same results. This means that there are factors that enable or constrain the process of knowledge creation. With this in mind, we developed a case study in order to identify both the motivations and the constraints that members of an organization experience when taking part in the knowledge creating processes of VCoP's. Results show that organizational culture and professional and personal development play an important role in these processes. No interviewee referred to direct financial rewards as a motivation factor for participation in VCoPs. Most identified the difficulty in aligning objectives established by the management with justification for the time spent in the VCoP. The interviewees also said that technology is not a constraint.

The Interpretation of Verbal Probability Expressions Used in the IAS/IFRS: the auditors Rrgistered with the portuguese securities market commission

One of the main arguments in favour of the adoption and convergence with the international accounting standards published by the IASB (i.e. IAS/IFRS) is that these will allow comparability of financial reporting across countries. However, because these standards use verbal probability expressions (v.g. “probable”) when establishing the recognition and disclosure criteria for accounting elements, they require professional accountants to interpret and classify the probability of an outcome or event taking into account those terms and expressions and to best decide in terms of financial reporting. This paper reports part of a research we carried out on the interpretation of “in context” verbal probability expressions used in the IAS/IFRS by the auditors registered with the Portuguese Securities Market Commission, the Comissão do Mercado de Valores Mobiliários (CMVM). Our results provide support for the hypothesis that culture affects the CMVM registered auditors’ interpretation of verbal probability expressions through its influence on the accounting value (or attitude) of conservatism. Our results also suggest that there are significant differences in their interpretation of the term “probable”, which is consistent with literature in general. Since “probable” is the most frequent verbal probability expression used in the IAS/IFRS, this may have a negative impact on financial statements comparability.

New challenges in mathematics for the european higher education

In this paper we will talk about a math project submitted to the Lifelong Learning Programme. European higher education needs a reform in order to play its full role in the Europe of Knowledge. Modernisation of higher education is necessary in the areas of curricula (Bologna process), funding and governance so that higher education institutions can face the challenges posed by globalisation and contribute more effectively to the training and retraining of the European workforce. On the other hand Mathematics is an essential component of all educational systems. Mathematical literacy is being scrutinized in assessment efforts such as the OCDE Programme for International Student Assessment (PISA). This showed a low level in Europe. Due to the Bologna Process, which brought several didactical implications for Higher Education (HE) institutions, there is the need of lifelong learning. This evolution is in conflict with the earlier mentioned lack of competencies on basic sciences, such as Mathematics. Forced by this duality, efforts are combined to share expertise in the Math field and the integration of pedagogical methodologies becomes a necessity. Thus, several European countries have proposed an International Project to the Lifelong Learning Programme, Action ERASMUS Modernisation of Higher Education, to make institutions more attractive and more responsive to the needs of the labour market, citizens and society at large. One of the main goals of the project is to attract students to math through high-quality instructional units in an understandable, exciting and attractive way.

The influence of relationship quality and culture in the relations between exporter and distributor : the case of portuguese exports to Angola

The objective of this research is to investigate the role of the relationship quality, cooperation and culture between Portuguese companies and their export market intermediaries in Angola. In particular, we aim to understand the importance that the quality of the relationship has in cooperation and the role of cultures in export activities. An important aspect of this study is precisely the fact that it includes an African country, where, in terms of the literature, there is a strong lack of studies. In terms of methodology we opted for qualitative analysis; we present the results of two case studies of Portuguese exporting companies and one case study of Angolan intermediate. In general, the results are that the business relationships are characterized by trust, commitment, cooperation, culture, similar values, as in the past, Angola belonged to Portugal there is easy communication because both countries share the same. Such factors will influence the trade relations between Portuguese exporters and their Angolan distributors.

Balancing market integration in MASCEM electricity market simulator

With the restructuring of the energy sector in industrialized countries there is an increased complexity in market players’ interactions along with emerging problems and new issues to be addressed. Decision support tools that facilitate the study and understanding of these markets are extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent simulator for competitive electricity markets. It is essential to reinforce MASCEM with the ability to recreate electricity markets reality in the fullest possible extent, making it able to simulate as many types of markets models and players as possible. This paper presents the development of the Balancing Market in MASCEM. A key module to the study of competitive electricity markets, as it has well defined and distinct characteristics previously implemented.

Dynamic artificial neural network for electricity market prices forecast

This paper presents an artificial neural network applied to the forecasting of electricity market prices, with the special feature of being dynamic. The dynamism is verified at two different levels. The first level is characterized as a re-training of the network in every iteration, so that the artificial neural network can able to consider the most recent data at all times, and constantly adapt itself to the most recent happenings. The second level considers the adaptation of the neural network’s execution time depending on the circumstances of its use. The execution time adaptation is performed through the automatic adjustment of the amount of data considered for training the network. This is an advantageous and indispensable feature for this neural network’s integration in ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to the market negotiating players of MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).

A short-term risk management tool applied to OMEL electricity market using particle swarm optimization

Short-term risk management is highly dependent on long-term contractual decisions previously established; risk aversion factor of the agent and short-term price forecast accuracy. Trying to give answers to that problem, this paper provides a different approach for short-term risk management on electricity markets. Based on long-term contractual decisions and making use of a price range forecast method developed by the authors, the short-term risk management tool presented here has as main concern to find the optimal spot market strategies that a producer should have for a specific day in function of his risk aversion factor, with the objective to maximize the profits and simultaneously to practice the hedge against price market volatility. Due to the complexity of the optimization problem, the authors make use of Particle Swarm Optimization (PSO) to find the optimal solution. Results from realistic data, namely from OMEL electricity market, are presented and discussed in detail.

Virtual power producers market strategies

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimisation techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper detail some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study.

Transmission price simulator in a liberalized electricity market

This paper presents a software tool (SIM_CMTP) that solves congestion situations and evaluates the taxes to be paid to the transmission system by market agents. SIM_CMTP provides users with a set of alternative methods for cost allocation and enables the definition of specific rules, according to each market and/or situation needs. With these characteristics, SIM_CMTP can be used as an operation aid for Transmission System Operator (TSO) or Independent System Operator (ISO). Due to its openness, it can also be used as a decision-making support tool for evaluating different options of market rules in competitive market environment, guarantying the economic sustainability of the transmission system.

Multi-agent electricity market simulation with dynamic strategies & virtual power producers

Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.