2,738 research outputs found
Ethics, design and planning of the built environment
No full textThe book proposes a set of original contributions in research areas shared by planning theory, architectural research, design and ethical inquiry. The contributors gathered in 2010 at the Ethics of the Built Environment seminar organized by the editors at Delft University of Technology. Both prominent and emerging scholars presented their researches in the areas of aesthetics, technological risks, planning theory and architecture. The scope of the seminar was highlighting shared lines of ethical inquiry among the themes discussed, in order to identify perspectives of innovative interdisciplinary research. After the seminar all seminar participants have elaborated their proposed contributions. Some of the most prominent international authors in the field were subsequently invited to join in with this inquiry. Claudia Basta teaches "Network Infrastructures and Mobility" at Wageningen University. Between 2009 and 2011 she worked as Coordinator of the 3TU Centre of Excellence for Ethics and Technology of Delft University, where she completed her post-doc research on the shared areas of investigation between risk theories, planning theories and ethical inquiry. Her main research interests concern the matter of assessing and governing technological risks in relation to sustainable land use planning. She wrote a number of journal articles and contributions to collective books on these themes. Stefano Moroni teaches “Land use ethics and the law” at Milan Politecnico. His main research interests concern planning theory and ethics. He is the author of a number of books and journal articles. Recent publications (as co-author): Contractual Communities in the Self-Organizing City (Springer 2012)
La valutazione di compatibilità ambientale: un primo contributo in ambito universitario
No full textAccelerating outlier detection with intra- and inter-node parallelism.
No full textOutlier detection is a data mining task consisting in the discovery of observations which deviate substantially from the rest of the data, and has many important practical applications. Outlier detection in very large data sets is however computationally very demanding and the size limit of the data that can be elaborated is considerably pushed forward by mixing three ingredients: efficient algorithms, intra-cpu parallelism of high-performance architectures, network level parallelism. In this paper we propose an outlier detection algorithm able to exploit the internal parallelism of a GPU and the external parallelism of a cluster of GPU. The algorithm is the evolution of our previous solutions which considered either GPU or network level parallelism. We discuss a set of large scale experiments executed in a supercomputing facility and show the speedup obtained with varying number of nodes
Reducing distance computations for distance-based outliers
No full textThe mining task of outlier detection is essential in many expert and intelligent systems exploited in a wide range of applications, from intrusion detection to molecular biology. In some of such applications the ability to process large amounts of data in a very short time can be critical, for instance in intrusion and fraud detection. This paper explores a solution for the optimisation of an exact, unsupervised outlier detection method by avoiding unnecessary computations, and therefore reducing the running time and making the method usable also in settings where response times are crucial. In particular, we enhance the SolvingSet-based approach by using a mechanism that exploits the knowledge learned during the algorithm execution and avoids a large amount of distance computations. We demonstrate the strength of the proposed solution, named FastSolvingSet, through both theoretical and experimental analysis
GPU Strategies for Distance-Based Outlier Detection
No full textThe process of discovering interesting patterns in large, possibly huge, data sets is referred to as data mining, and can be performed in several flavours, known as "data mining functions." Among these functions, outlier detection discovers observations which deviate substantially from the rest of the data, and has many important practical applications. Outlier detection in very large data sets is however computationally very demanding and currently requires high-performance computing facilities. We propose a family of parallel and distributed algorithms for graphic processing units (GPU) derived from two distance-based outlier detection algorithms: BruteForce and SolvingSet. The algorithms differ in the way they exploit the architecture and memory hierarchy of the GPU and guarantee significant improvements with respect to the CPU versions, both in terms of scalability and exploitation of parallelism. We provide a detailed discussion of their computational properties and measure performances with an extensive experimentation, comparing the several implementations and showing significant speedups. © 2016 IEEE
Who is the author of the 1876 Stefano manuscript?
No full textFor over one hundred years the Stefano manuscript was a private document in the possession of the Baccich family and descendants. It told a story of the 1875 Stefano shipwreck as narrated by the shipwreck survivor and the founding family patriarch Miho Baccich. In these circumstances the question of authorship of the manuscript was immaterial and did not arise as an issue. However, with the publication of the manuscript the author‟s name, or names, need to be formally attributed to it. It turns out that this is not such a clear-cut matter.
As we shall see, all informed sources attributed the authorship, and the ownership, of the manuscript to Miho Baccich. But the manuscript itself was written by Canon Stjepan Skurla – a priest from Miho‟s hometown of Dubrovnik. The question then arises: should Skurla also be considered as an author of the manuscript, or, even as the sole author (as some would have it)
Fashion Culture: Power In Fashion with Stefano Tonchi and Grazia d'Annunzio
No full textStefano Tonchi, global chief creative officer for L’Officiel Group, and Grazia d’Annunzio, former deputy director of Vogue Italia, discuss the power of military uniforms and their influence on high fashion. Tonchi is co-author of the book "Uniform: Order and Disorder.
Introduzione [a I cartolari del notaio Stefano di Corrado di Lavagna]
No full textSaggio introduttivo all’edizione dei frammenti dei protocolli del notaio Stefano di Corrado di Lavagna nel quale viene fatta l’analisi codicologica dei frammenti e si ricostruisce la biografia del notaio. Vengono inoltre esaminate la tipologia dei documenti, le tecniche redazionali del notaio e l’organizzazione burocratica della Chiesa genovese nella seconda metà del secolo XIII.
Introduction essay to the edition of the fragments of the protocols of the notary Stefano di Corrado of Lavagna in which the analysis of the codex fragments and reconstructs the biography of the notary is made by the author. She also examined the types of documents, the technical drafting of the notary and the bureaucratic organization of the Church of Genoa in the second half of the thirteenth century
Fast outlier detection using a GPU
No full textThe availability of cost-effective data collections and storage hardware has allowed organizations to accumulate very large data sets, which are a potential source of previously unknown valuable information. The process of discovering interesting patterns in such large data sets is referred to as data mining. Outlier detection is a data mining task consisting in the discovery of observations which deviate substantially from the rest of the data, and has many important practical applications. Outlier detection in very large data sets is however computationally very demanding and currently requires highperformance computing facilities. We propose a family of parallel algorithms for Graphic Processing Units (GPU), derived from two distance-based outlier detection algorithms: the BruteForce and the SolvingSet. We analyze their performance with an extensive set of experiments, comparing the GPU implementations with the base CPU versions and obtaining significant speedups
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