Architecture

This is the first dictionary dedicated to the work of Jean Baudrillard (1929-2007). It explains and contextualises more than a hundred key concepts, terms, influences and topics within his thought. An essential reference for students and scholars of Baudrillard, it also serves as an authoritative overview of how his ideas have shaped a broad range of disciplines, from art, architecture, film and photography to sociology, philosophy, human geography, media studies and cultural studies. The entries are written by thirty-five leading Baudrillard specialists from around the world, including Rex Butler, Mike Gane, Gary Genosko, Victoria Grace, Diane Rubenstein and Andrew Wernic

Fatal objects: Lacan in Baudrillard vol 2 (3rd simulation stage: postmodernity)

Jean Baudrillard's 3rd simulation stage reinterpreted through the theory of architecture (Linear perpstive), Marxism (commodity festishism) and Jaques Lacan (Mirror stage

The Invention of History: Baudrillard in Lacan vol 1 (1st simulation stage: the classic age)

Jean Baudrillard's first simulation stage re-interpreted in the light of architectural theory (linear perspetive) and psychoanalysis (Jaques Lacan's mirror stage

The machine and the aesthetics

This new edition further explores the connection between the cultural analysis provided by the contemporary philosopher Jean Baudrillard and the new 'star' of global culture - architecture. In a world in which images have become a substitute for reality - i.e. simulacra capable of both stimulating and satisfying collective needs - the question arises as to whether architecture could be seen as a 'super-fetish', capable of both mirroring and shaping western society's culture and identity. The aim of this book is thus to provide new methodologies and to suggest new meanings for the comprehension and development of contemporary architecture. In Baudrillard's terms, architecture could be seen as the supreme medium of contemporary visual culture, especially in its potential to influence the individual's perception of reality as a component of the mass-media system. This kind of cultural analysis of the built environment and its effect on everyday life is still a relatively new phenomenon - both in the fields of critical theory and even more so in mainstream architectural criticism. This book, which forms a significant resource on the work of an immensely important writer, should appeal to a wide range of readers. Through highly evocative writing, it provides a theoretical, illuminating pathway for everyone who, either directly or indirectly, is involved or interested in architecture, urbanism and related subjects

Determination of forest road surface roughness by kinect depth imaging

Roughness is a dynamic property of the gravel road surface that affects safety, ride comfort as well as vehicle tyre life and maintenance costs. A rapid survey of gravel road condition is fundamental for an effective maintenance planning and definition of the intervention priorities. Different non-contact techniques such as laser scanning, ultrasonic sensors and photogrammetry have recently been proposed to reconstruct three-dimensional topography of road surface and allow extraction of roughness metrics. The application of Microsoft Kinect\u2122 depth camera is proposed and discussed here for collection of 3D data sets from gravel roads, to be implemented in order to allow quantification of surface roughness. The objectives are to: i) verify the applicability of the Kinect sensor for characterization of different forest roads, ii) identify the appropriateness and potential of different roughness parameters and iii) analyse the correlation with vibrations recoded by 3-axis accelerometers installed on different vehicles. The test took advantage of the implementation of the Kinect depth camera for surface roughness determination of 4 different forest gravel roads and one well-maintained asphalt road as reference. Different vehicles (mountain bike, off-road motorcycle, ATV vehicle, 4WD car and compact crossover) were included in the experiment in order to verify the vibration intensity when travelling on different road surface conditions. Correlations between the extracted roughness parameters and vibration levels of the tested vehicles were then verified. Coefficients of determination of between 0.76 and 0.97 were detected between average surface roughness and standard deviation of relative accelerations, with higher values in the case of lighter vehicles

Physical constraints on global social-ecological energy system

Energy is the main driver of human Social-Ecological System (SES) dynamics. Collective energy properties of human SES can be described applying the principles of statistical mechanics: (i) energy consumption repartition; (ii) efficiency; (iii) performance, as efficient power, in relation to the least-action principle. International Energy Agency data are analyzed through the lens of such principles. Declining physical efficiency and growth of power losses emerge from our analysis. Losses mainly depend on intermediate system outputs and non-energy final output. Energy performance at Country level also depends on efficient power consumption. Better and worse performing Countries are identified accordingly. Five policy-relevant areas are identified in relation to the physical principles introduced in this paper: Improve efficiency; Decouple economic growth from environmental degradation; Focus on high value added and labor-intensive sectors; Rationalize inefficient fossil fuel subsidies that encourage wasteful consumption; Upgrade the technological capabilities. Coherently with our findings, policies should support the following actions: (1) redefine sectoral energy distribution shares; (2) Improve Country-level performance, if needed; (3) Reduce intermediate outputs and non-energy final output; (4) Reduce resources supply to improve eco-efficiency together with system performance

Automating concept-drift detection by self-evaluating predictive model degradation

A key aspect of automating predictive machine learning entails the capability of properly triggering the update of the trained model. To this aim, suitable automatic solutions to self-assess the prediction quality and the data distribution drift between the original training set and the new data have to be devised. In this paper, we propose a novel methodology to automatically detect prediction-quality degradation of machine learning models due to class-based concept drift, i.e., when new data contains samples that do not fit the set of class labels known by the currently-trained predictive model. Experiments on synthetic and real-world public datasets show the effectiveness of the proposed methodology in automatically detecting and describing concept drift caused by changes in the class-label data distributions.Comment: 5 pages, 4 figure

Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation

ToPIC (Tuning of Parameters for Inference of Concepts) is a distributed self-tuning engine whose aim is to cluster collections of textual data into correlated groups of documents through a topic modeling methodology (i.e., LDA). ToPIC includes automatic strategies to relieve the end-user of the burden of selecting proper values for the overall analytics process. ToPIC's current implementation runs on Apache Spark, a state-of-the-art distributed computing framework. As a case study, ToPIC has been validated on three real collections of textual documents characterized by different distributions. The experimental results show the effectiveness and efficiency of the proposed solution in analyzing collections of documents without tuning algorithm parameters and in discovering cohesive and well-separated groups of documents with a similar topic

DISPONIBILITÀ DI BIOMASSE VEGETALI IN PROVINCIA DI REGGIO CALABRIA

The biomass for energy purposes, coming from agricultural firms and forestry industry for energy, can provide various environmental and socio-economic benefits. Among all renewable energy sources, agro-forestry biomass represents both an important alternative source to fossil fuels and an opportunity for the socio-economic development of various marginal mountain areas. This survey aims at estimating the potential revenue in province of Reggio Calabria, which is showing a great interest in biomass production