332 research outputs found
Montaigne, Weininger e la filosofia dei corpi. «Un dramma borghese» di Guido Morselli
No full textIn questo saggio l’autore propone un modello tripartito (la ‘memoria involontaria’, l’‘ipertesto’, le ‘opera-sistema’), per studiare l’uso delle fonti nei testi finzionali di Guido Morselli. Attraverso una lettura di Un dramma borghese (1978) basata su una ricerca d’archivio nella biblioteca privata di Morselli a Varese, l’autore sostiene che questo romanzo mira a rappresentare due tipi di essere umano, il maschile (razionale) e il femminile (irrazionale), secondo rispettivamente due “opere-sistema” filosofiche: gli Essais di Montaigne e Geschlecht und Charakter di WeiningerIn this paper, the author proposes a tripartite model (the “involuntary memory”, the “hypertext”, the “works-system”), to study the use of sources in Guido Morselli’s fictional texts. Through a close reading of Un dramma borghese (1978) rooted on an archival research in Morselli’s private library in Varese, the author argues that this novel aims at representing two types of human being, the masculine (rational) and the feminine (irrational), according respectively to two philosophical ‘works-system’: Montaigne’s Essais and Weininger’s Geschlecht und
Charakter
Compact tracking of surgical instruments through structured markers
No full textVirtual and augmented reality surgery calls for reliable and efficient tracking of the surgical instruments in the virtual or real operating theatre. The most diffused approach uses three or more not aligned markers, attached to each instrument and surveyed by a set of cameras. However, the structure required to carry the markers does modify the instrument's mass distribution and can interfere with surgeon movements. To overcome these problems, we propose here a new methodology, based on structured markers, to compute the six degrees of freedom of a surgical instrument. Two markers are attached on the instrument axis and one of them has a stripe painted over its surface. We also introduce a procedure to compute with high accuracy the markers center on the cameras image, even when partially occluded by the instrument's axis or by other structures. Experimental results demonstrate the reliability and accuracy of the proposed approach. The introduction of structured passive markers can open new possibilities to accurate tracking, combining markers detection with real-time image processing
La ricerca di Fogazzaro, fra ossessione e religiosità
No full textDopo "Piccolo mondo antico", Fogazzaro ci offre, attraverso le vicende del protagonista Piero, figlio del Franco del romanzo precedente, uno spaccato della società postrisorgimentale. Nascoste tra le pieghe della grande storia del Risorgimento e lontane da ogni retorica nazionalistica, emergono virtù eroiche ma non apparenti, affetti sani, il dramma intimo consumato fra le pareti di una modesta casa borghese. Così il romanzo dipinge figure indimenticabili, opponendo a personaggi di grande statura morale la maldicenza bigotta della provincia italiana. Prefazione di Alberto Melloni
Critica e crisi della modernità. Gramsci storico della società borghese
No full textSaggio sulla crisi della società borghese e sulla storia della modernità attraverso una originale e accurata analisi del pensiero gramsciano dei "Quaderni del carcere"
Enhancing Door-Status Detection for Autonomous Mobile Robots during Environment-Specific Operational Use
No full textDoor-status detection, namely recognizing the presence of a door and its
status (open or closed), can induce a remarkable impact on a mobile robot's
navigation performance, especially for dynamic settings where doors can enable
or disable passages, changing the topology of the map. In this work, we address
the problem of building a door-status detector module for a mobile robot
operating in the same environment for a long time, thus observing the same set
of doors from different points of view. First, we show how to improve the
mainstream approach based on object detection by considering the constrained
perception setup typical of a mobile robot. Hence, we devise a method to build
a dataset of images taken from a robot's perspective and we exploit it to
obtain a door-status detector based on deep learning. We then leverage the
typical working conditions of a robot to qualify the model for boosting its
performance in the working environment via fine-tuning with additional data.
Our experimental analysis shows the effectiveness of this method with results
obtained both in simulation and in the real-world, that also highlight a
trade-off between costs and benefits of the fine-tuning approach
Portable modular system for automatic acquisition of 3D objects
No full textA modular system which is able to reconstruct the 3D surface of an object is presented here. It has a three level architecture. The first level is devoted to the acquisition of a set of 3D points over the surface (digitization), the second level constructs the 3D surface in the form of a mesh, filtering the measurement noise. In the third level a bitmap of the surface, obtained from a snapshot, is projected over the 3D mesh to obtain a highly realistic 3D model. This instrument improves the commercial available scanners in two main aspects. The digitizer proves highly flexible and it can easily accommodate objects of different dimension. The construction of the mesh and the filtering of the digitization noise is carried in a single step through an algorithm which can be parallelized to work in real time. When the spot detection will be transferred to a standard graphic board and the mesh construction over a dedicated (FPGA) board, this instrument shall be seen as a standard input device of next generation graphical workstations
Calibrating a video camera pair with a rigid bar
No full textIn this paper a new procedure to determine all the geometrical parameters of a stereo-system is presented. It is based on
surveying a rigid bar carrying two markers on its extremities moved inside the working volume and it does not require
grids or complex calibration structures. The external parameters are estimated through the epipolar geometry up to
a scale factor which is determined from the true length of the bar. The focal lengths are determined using the properties
of the absolute conic in the projective space. The principal points are computed through a non-linear minimisation
carried out through an evolutionary optimisation. The accuracy of the method is assessed on real data and it compares
favourably with that obtained through classical approaches based on control points of known 3D coordinates
Hierarchical RBF networks and local parameter estimate
No full textThe method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input space; additional layers of Gaussians at lower scales are added where the residual error is higher. The number of the Gaussians of each layer and their variance are computed from considerations grounded in the linear filtering theory. The weight of each Gaussian is estimated through a maximum a posteriori estimate carried out locally on a sub-set of the data points. The method shows a high accuracy in the reconstruction, it can deal with non-evenly spaced data points and can be fully parallelizable. Results on the econstruction of both synthetic and real data are presented and discussed
A simple model for human-robot emotional interaction
No full textThis paper describes a model of human-robot interaction. It computes the robot's simulated emotional state as a result of the emotional input received from the user and the robot's internal emotion dynamics. The latter is determined by the key elements of personality and attitude. The proposed model is a probabilistic finite state automaton, where the probabilistic transition function is called personality and is modified during the interaction according to the history of the interaction itself. The criterion which drives this personality change is called attitude. Such a model may be used in affective computing applications in order to design emotional agents and robots
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