121,899 research outputs found
Ruggero Morresi, Hegel. Invito al sistema
No full textDepré Olivier. Ruggero Morresi, Hegel. Invito al sistema. In: Revue Philosophique de Louvain. Quatrième série, tome 84, n°63, 1986. p. 401
Daniele Miano, Fortuna. Deity and Concept in Archaic and Republican Italy, Oxford, Oxford University Press, 2018
No full textPrescendi Morresi Francesco. Daniele Miano, Fortuna. Deity and Concept in Archaic and Republican Italy, Oxford, Oxford University Press, 2018. In: ASDIWAL. Revue genevoise d'anthropologie et d'histoire des religions, n°15, 2020. pp. 217-218
Religions antiques. Une introduction comparée, P. Borgeaud & F. Prescendi-Morresi (éds.), Labor & Fides : Genève, 2008
No full textDubosson-Sbriglione Lara. Religions antiques. Une introduction comparée, P. Borgeaud & F. Prescendi-Morresi (éds.), Labor & Fides : Genève, 2008. In: ASDIWAL. Revue genevoise d'anthropologie et d'histoire des religions, n°3, 2008. pp. 151-154
Narration in the Perspective of Education about Beauty. A Case Study.
No full textThe article describes an educational experience, which, despite the nihilistic condition of contemporary culture, has achieved significant learning outcomes in the pupils involved, because it was conducted following the narrative method in the trasmission of the contents. The didactic project aimed to promote awareness of the historical origins of the so-called Western tradition, through the comparison with the canonic poems of the classical Latin and Greek age and the medieval one. Iliad, Odyssey, Aeneid and The Divine Comedy were selected to be narrated in class not only because their narration had represented a guide and a model for the self-consciousness of the peoples of reference, but also because their formative function took place successfully due to the marked aestetic value and consequent appeal of their narration
Religions antiques. Une introduction comparée, P. Borgeaud & F. Prescendi-Morresi (éds.), Labor & Fides : Genève, 2008
No full textDubosson-Sbriglione Lara. Religions antiques. Une introduction comparée, P. Borgeaud & F. Prescendi-Morresi (éds.), Labor & Fides : Genève, 2008. In: ASDIWAL. Revue genevoise d'anthropologie et d'histoire des religions, n°3, 2008. pp. 151-154
Uncertainty of heart rate variability measured through a wearable device during office activities
No full textThis paper shows the results of an experimental campaign conducted to quantify the measurement uncertainty of heart rate variability (HRV), measured through a commercial smartwatch, while participants were performing office activities. The selected activities (sitting, moving the mouse, writing a text on the laptop, handwriting, walking, walking upstairs/downstairs) are subjected to motion artifacts (MA) that can negatively impact the HRV signal. Measurement uncertainty for each activity has been computed comparing the HRV acquired by the smartwatch with a reference sensor, i.e. multi-parametric chest belt BioHarness 3.0. Activities like resting and moving the mouse exhibit an uncertainty of +/- 60 ms and +/- 90 ms, while activities such as handwriting, walking and walking upstairs/downstairs increase the measurement uncertainty from +/- 215 ms up to +/- 530 ms. These results are the preliminary step of a major study developed to measure the well-being of occupants using also HRV signals. In this context, accelerometer data, collected by the smartwatch, could possibly classify the activity performed by the workers through artificial intelligence (AI) algorithms; then, the HRV measurement uncertainty associated with the recognized activity could be used as a support for the discrimination of specific corrupted HRV segments, for minimizing the uncertainty in the HRV signal caused by MA
Robot-based measurement of comfort through thermal infrared imaging and wearable sensors
No full textThis paper presents an innovative integrated
measurement system composed of a social robot, an infrared (IR)
sensor and a wearable device (smartwatch) for the assessment of
human thermal comfort. The goal of this work is to provide a
human-centered methodology that exploits a robotic structure to
provide a comfort coaching solution for the end-users in the built
environment. For this purpose, physiological parameters such as
Heart Rate Variability (HRV) and skin temperature (ts) are
measured, in response to different environmental conditions in
the office environment. Data were acquired during the summer
season, with a dedicated measurement campaign that involved 8
participants. They were exposed to comfort and warm discomfort
conditions while the smartwatch and the IR sensor acquired the
parameters for 30 minutes. Data analysis was conducted to create
suitable input datasets for testing 7 different supervised machine
learning (ML) algorithms. The Thermal Sensation Vote (TSV) of
the participants was used as the ground truth to evaluate thermal
comfort. Results show that in the intrasubject dataset Random
Forest (RF) and Naïve Bayes (NB) classifiers can distinguish
whether the occupant was in thermal comfort with an accuracy
of 93% and 94%, respectively. For the inter-subject comfort
evaluation, the average accuracy is 63% for the comfort trial and
49% for the warm discomfort trial. The current research
provides a further step in the measurement of thermal comfort,
including a robot-based methodology and the use of physiological
parameters and ML techniques to interpret human thermal
comfort perception in the built environment
Validation and accuracy estimation of a novel measurement system based on a mobile robot for human detection in indoor environment
No full textThis paper validates an indoor measurement system for human detection using a RGB camera installed on a mobile robot at three different robot’s head configuration and in two suboptimal collected scenarios. Images are processed with three algorithms for human detection i.e., Histogram of Oriented Gradients (HOG), Viola-Jones Haar Cascade Classifier (Haar cascade classifier), You Only Look Once (YOLO-v3) trained with COCO dataset and their accuracies in detecting humans are computed. For these algorithms, dependences from the robot head configuration and from the robot-subject distances are assessed in the two suboptimal scenarios. Results show that in the first suboptimal scenario of the proposed measurement system, YOLO-v3 algorithm provides the best accuracy value in detecting humans (99,9%) while the best accuracy results for the two other algorithms (65,7% for HOG and 70,8% for Haar cascade) are reached for a robot head configuration of 40°, independently from the robot-subject distances. The second suboptimal scenario is performed to detect conditions in which YOLO-v3 fails. Results indicate that in two user configurations YOLO-v3 fails that could be attributed to the COCO dataset with which the YOLO-v3 algorithm is trained and to the proposed suboptimal test conditions
Toward room temperature ferro-magnetism of Ge:Mn systems
No full textWe investigate the magnetic properties of Mn(x)Ge(1-x)/Ge(100) films. We show that the choice of growth temperature
and Mn content is crucial for achieving optimal magnetic performance. With a substrate temperature of 160°C during
film deposition, and Mn concentration between 2.7% and 4.4%, hysteresis is observed up to about 250 K. However, the
magnetic loop maintains a saturating behaviour at high fields up to room temperature. For larger Mn concentrations
the magnetic response is strongly suppressed, suggesting a possible segregation of manganese
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