Designing cnc knit for hybrid membrane and bending active structures

Recent advances in computation allow for the integration of design and simulation of highly interrelated systems, such as hybrids of structural membranes and bending active elements. The engaged complexities of forces and logistics can be mediated through the development of materials with project specific properties and detailing. CNC knitting with high tenacity yarn enables this practice and offers an alternative to current woven membranes. The design and fabrication of an 8m high fabric tower through an interdisciplinary team of architects, structural and textile engineers, allowed to investigate means to design, specify, make and test CNC knit as material for hybrid structures in architectural scale. This paper shares the developed process, identifies challenges, potentials and future work.

Sistema de aquisição e comunicação para sensores magnetoelétricos

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores

Quantum field theory approach to the optical conductivity of strained and deformed graphene

The computation of the optical conductivity of strained and deformed graphene is discussed within the framework of quantum field theory in curved spaces. The analytical solutions of the Dirac equation in an arbitrary static background geometry for one dimensional periodic deformations are computed, together with the corresponding Dirac propagator. Analytical expressions are given for the optical conductivity of strained and deformed graphene associated with both intra and interbrand transitions. The special case of small deformations is discussed and the result compared to the prediction of the tight-binding model.

Finite integration methods for isospectral flows

In this paper we consider the approximate computation of isospectral flows based on finite integration methods( FIM) with radial basis functions( RBF) interpolation,a new algorithm is developed. Our method ensures the symmetry of the solutions. Numerical experiments demonstrate that the solutions have higher accuracy by our algorithm than by the second order Runge- Kutta( RK2) method.

A bio-inspired computational model for motion detection

Tese de Doutoramento (Programa Doutoral em Engenharia Biomédica)

A survey of distributed data aggregation algorithms

Distributed data aggregation is an important task, allowing the de- centralized determination of meaningful global properties, that can then be used to direct the execution of other applications. The resulting val- ues result from the distributed computation of functions like count, sum and average. Some application examples can found to determine the network size, total storage capacity, average load, majorities and many others. In the last decade, many di erent approaches have been pro- posed, with di erent trade-o s in terms of accuracy, reliability, message and time complexity. Due to the considerable amount and variety of ag- gregation algorithms, it can be di cult and time consuming to determine which techniques will be more appropriate to use in speci c settings, jus- tifying the existence of a survey to aid in this task. This work reviews the state of the art on distributed data aggregation algorithms, providing three main contributions. First, it formally de nes the concept of aggrega- tion, characterizing the di erent types of aggregation functions. Second, it succinctly describes the main aggregation techniques, organizing them in a taxonomy. Finally, it provides some guidelines toward the selection and use of the most relevant techniques, summarizing their principal characteristics.

Automatically estimating iSAX parameters

The Symbolic Aggregate Approximation (iSAX) is widely used in time series data mining. Its popularity arises from the fact that it largely reduces time series size, it is symbolic, allows lower bounding and is space efficient. However, it requires setting two parameters: the symbolic length and alphabet size, which limits the applicability of the technique. The optimal parameter values are highly application dependent. Typically, they are either set to a fixed value or experimentally probed for the best configuration. In this work we propose an approach to automatically estimate iSAX’s parameters. The approach – AutoiSAX – not only discovers the best parameter setting for each time series in the database, but also finds the alphabet size for each iSAX symbol within the same word. It is based on simple and intuitive ideas from time series complexity and statistics. The technique can be smoothly embedded in existing data mining tasks as an efficient sub-routine. We analyze its impact in visualization interpretability, classification accuracy and motif mining. Our contribution aims to make iSAX a more general approach as it evolves towards a parameter-free method.

ADSNARK: Nearly practical and privacy-preserving proofs on authenticated data

We study the problem of privacy-preserving proofs on authenticated data, where a party receives data from a trusted source and is requested to prove computations over the data to third parties in a correct and private way, i.e., the third party learns no information on the data but is still assured that the claimed proof is valid. Our work particularly focuses on the challenging requirement that the third party should be able to verify the validity with respect to the specific data authenticated by the source — even without having access to that source. This problem is motivated by various scenarios emerging from several application areas such as wearable computing, smart metering, or general business-to-business interactions. Furthermore, these applications also demand any meaningful solution to satisfy additional properties related to usability and scalability. In this paper, we formalize the above three-party model, discuss concrete application scenarios, and then we design, build, and evaluate ADSNARK, a nearly practical system for proving arbitrary computations over authenticated data in a privacy-preserving manner. ADSNARK improves significantly over state-of-the-art solutions for this model. For instance, compared to corresponding solutions based on Pinocchio (Oakland’13), ADSNARK achieves up to 25× improvement in proof-computation time and a 20× reduction in prover storage space.

O simbólico como estratégia para a alteração comportamental: o caso Águas do Porto

Dissertação de mestrado em Ciências da Comunicação (área de especialização em Publicidade e Relações Públicas)

O livro na revista: como revistas semanais brasileiras e portuguesas abordam livros e literatura

Dissertação de mestrado em Comunicação, Arte e Cultura

Gender and media: where do we stand today?

Nowadays, the public discourses about gender equality are commonly accepted in Western society. In fact, we live in an era of “equality illusion” (Banyard, 2010) because the mainstream discourses incorporate gender in the agenda, conveying the message that feminist struggles are unnecessary today. At the same time, postfeminism (McRobbie, 2004) gains importance and demonstrates the intricacies of a neoliberal, highly individualist culture that subtly imprisons the freedoms that it is supposed to grant (Gill & Scharff, 2011). However, back in 1978, Gaye Tuchman used the expression “symbolic annihilation” to refer to how the media represented women. The author refers to a “symbolic annihilation” because sometimes it is so hidden and subtle that it becomes difficult to perceive – and to be fought. Much has improved since then; yet a lot remains the same. Over the past decades there have been marked changes in gender relations, in feminist activism, in the (media) communication industry and in society in general (Byerly, 2013; Carter, Steiner & McLaughlin, 2015; Gallagher, 2014; Gallego, 2013; Krijnen, Álvares & Van Bauwel, 2011; Krijnen & Van Bauwel, 2015; Lobo, Silveirinha, Subtil, & Torres, 2015; Ross, 2009; Silveirinha, 2001; Van Zoonen, 1994, 2010). Now, in a globalised and media saturated world, the gendered picture is, consequently, different. The contemporary grammar is marked by diverse and complex tensions (van Zoonen, 2010).

Materializar afetos: entre universos e registos da memória familiar burguesa e os seus usos sociais

Dissertação de mestrado em História

Velhas e novas drogas: impactos da toxicodependência: estudo de caso na cidade de Braga

Dissertação de mestrado em Sociologia (área de especialização em Organizações e Trabalho)

Introduction [to Contact force models for multibody dynamics]

"Series: Solid mechanics and its applications, vol. 226"

Descodificação do De re aedificatoria de Alberti: gramáticas de forma para a análise e geração de edifícios sagrados

Teses de Doutoramento em Arquitectura.