Communication-efficient and crash-quiescent Omega with unknown membership

The failure detector class Omega (Ω) provides an eventual leader election functionality, i.e., eventually all correct processes permanently trust the same correct process. An algorithm is communication-efficient if the number of links that carry messages forever is bounded by n, being n the number of processes in the system. It has been defined that an algorithm is crash-quiescent if it eventually stops sending messages to crashed processes. In this regard, it has been recently shown the impossibility of implementing Ω crash quiescently without a majority of correct processes. We say that the membership is unknown if each process pi only knows its own identity and the number of processes in the system (that is, i and n), but pi does not know the identity of the rest of processes of the system. There is a type of link (denoted by ADD link) in which a bounded (but unknown) number of consecutive messages can be delayed or lost. In this work we present the first implementation (to our knowledge) of Ω in partially synchronous systems with ADD links and with unknown membership. Furthermore, it is the first implementation of Ω that combines two very interesting properties: communication-efficiency and crash-quiescence when the majority of processes are correct. Finally, we also obtain with the same algorithm a failure detector () such that every correct process eventually and permanently outputs the set of all correct processes.

UAS See-and-Avoid Strategy using a Fuzzy Logic Controller Optimized by Cross-Entropy in Scaling Factors and Membership Functions

This work aims to develop a novel Cross-Entropy (CE) optimization-based fuzzy controller for Unmanned Aerial Monocular Vision-IMU System (UAMVIS) to solve the seeand- avoid problem using its accurate autonomous localization information. The function of this fuzzy controller is regulating the heading of this system to avoid the obstacle, e.g. wall. In the Matlab Simulink-based training stages, the Scaling Factor (SF) is adjusted according to the specified task firstly, and then the Membership Function (MF) is tuned based on the optimized Scaling Factor to further improve the collison avoidance performance. After obtained the optimal SF and MF, 64% of rules has been reduced (from 125 rules to 45 rules), and a large number of real flight tests with a quadcopter have been done. The experimental results show that this approach precisely navigates the system to avoid the obstacle. To our best knowledge, this is the first work to present the optimized fuzzy controller for UAMVIS using Cross-Entropy method in Scaling Factors and Membership Functions optimization.

The impact of institutional environment and cultural context in the four different approaches to social enterprise

This article analyzes the characteristics of four different social enterprise schools of though (social economy, earned-income school in developed countries, earned-income in emerging countries, and social innovation) and the influence of the contextual elements (cultural, political, economic and social) on their configuration. This article draws on the qualitative discussions of social enterprise in different regions of the world. This paper is intended to contribute to the field of social enterprise by broadening the understanding of the influence of environment and institutions on the emergence of social enterprise.

UAS See-and-Avoid Strategy using a Fuzzy Logic Controller Optimized by Cross-Entropy in Scaling Factors and Membership Functions.

This work aims to develop a novel Cross-Entropy (CE) optimization-based fuzzy controller for Unmanned Aerial Monocular Vision-IMU System (UAMVIS) to solve the seeand-avoid problem using its accurate autonomous localization information. The function of this fuzzy controller is regulating the heading of this system to avoid the obstacle, e.g. wall. In the Matlab Simulink-based training stages, the Scaling Factor (SF) is adjusted according to the specified task firstly, and then the Membership Function (MF) is tuned based on the optimized Scaling Factor to further improve the collison avoidance performance. After obtained the optimal SF and MF, 64% of rules has been reduced (from 125 rules to 45 rules), and a large number of real flight tests with a quadcopter have been done. The experimental results show that this approach precisely navigates the system to avoid the obstacle. To our best knowledge, this is the first work to present the optimized fuzzy controller for UAMVIS using Cross-Entropy method in Scaling Factors and Membership Functions optimization.

A governação de territórios metropolitanos. Contexto institucional e de planeamento nas regiões de Madrid, Barcelona, Paris e Lisboa / The regional metropolitan governance. Institutional mark and planning in Madrid, Barcelona, Paris and Lisbon

Resumo Em resposta aos desafios atuais de muitas grandes cidades, o contexto institucional e o planeamento territorial formam dimensões para melhorar a governação metropolitana. No quadro das regiões capitais do sudoeste europeu, quais poderão ser as inovações e diferenças nos seus modelos e processos em curso? Este artigo propõe uma investigação aplicada para apresentar a análise da governação metropolitana. Através do método de estudos de caso em perspectiva comparada, vários elementos e entrevistas são ponderados qualitativamente nas regiões de Madrid, Barcelona, Paris e Lisboa. As conclusões encontram uma tendência para o equilíbrio entre os esforços dessas duas dimensões da governação territorial metropolitana, não impedindo registrar os seus diferentes percursos: por exemplo Ile-de-France desenvolveu boas iniciativas em matéria de planeamento, que então pedem alguns ajustamentos no quadro político, enquanto Madrid teve “menos actividade” nos últimos anos, em resultado da sua grande estabilidade institucional. A região de Lisboa permanece talvez numa “posição intermédia”, com uma dinâmica de evolução pouco previsível. Mas de acordo com este argumento, admite-se que os seus processos podem levar a melhorias graduais no sistema de governação, com o seu próprio percurso, implementando acções que devem respeitar, em particular, a geografia do território. Abstract Addressing the running challenges of several greater cities, the institutional mark and regional planning are dimensions for improving metropolitan governance. Regarding the southwest European capital regions, what can be the innovations and differences in their currently processes and models? This paper proposes an applied framework to present the metropolitan governance analysis. Through a comparative case study methodology, various elements and interviews are qualitatively measured in the regions of Madrid, Barcelona, Paris and Lisbon. The conclusions find a tendency to balance between the efforts on those two regional metropolitan governance dimensions, which does not prevent to register their different paths: for example Ile-de-France has developed good initiatives in terms of planning, which then require some adjustments in the political mark, while Madrid had in recent years “less activity”, in result of his institutional stability. The Lisbon region maybe stays in an “intermediate position” with a dynamic evolution that is difficult to predict. But according to that argument, it’s possible to admit that his processes can gradually lead to small improvements in his governance system, with his own path, implementing actions that must respect, in particularly, the geography of the territory.