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REMODEL. WP6. Sensory Systems And Mechatronic Tools. T6_2. Evaluation of a deformable skin tactile sensor. v0
No full textThe dataset contains the data related to three different types of data acquisitions, on which we trained and tested an artificial neural network (ANN). The procedure for the training and testing of the ANN is realized for each combination of inflated air and vertical force levels, by means of a nested cross-validation (CV). In detail, the CV is composed by two nested loops. The first data acquisition is composed by the output of the Inertial Measurement Unit (IMU) while the robotic manipulator UR5 is pressing on its surface with a metal stick end-effector on a grid on 42 different locations (namely: the 42-locations-session); the data acquired during this process from the tactile sensor are labeled based on the Cartesian position of the robot, therefore associating the signals with 42 different classes. The second data acquisition is related to the IMU data when the robot is pressing on the tactile sensor by means of a linear-like end-effector, applying the orientations of 0o, 30o, 60o, 90o, 120o and 150o (namely: the 6-orientations-session); in this case, the signals are labeled according to 6 classes, that corresponds to the six orientations of the linear region of contact points. Finally, the third data acquisition is built in the same way of the second, but considering the orientations of the linear region of contact points related to 0o, 45o, 90o and 135o (namely: the 4-orientations-session), corresponding to the labeling of the signals according to 4 classes. For each type of data acquisition, we repeated the experiment two times, and, for each of this repetition, we acquired the data for 3 levels of vertical force applied on the tactile sensor – 0.5 N, 1 N and 2 N (using the information from the force sensor at the base of the tactile sensor) – and 3 levels of inflating air – 5 ml, 7 ml and 10 ml (measured by using a syringe). In this way, we obtained a total amount of 54 datasets (27 datasets for the first session, and 27 datasets for the second session.) The data is related to the publication:
Y. Iwamoto, R. Meattini, D. Chiaravalli, G. Palli, K. Shibuya and C. Melchiorri, "A Low Cost Tactile Sensor for Large Surfaces Based on Deformable Skin with Embedded IMU," 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), Tampere, Finland, 2020, pp. 501-506, doi: 10.1109/ICPS48405.2020.9274737
REMODEL. WP4. Vision Based Perception. T4_4. Functional component detection. LOOP Experimental Dataset. v0
Get PDFThis dataset contains experimental data related to robotic grasping applications, produced in the framework of REMODEL project. Specifically, it contains the collection of 15 tabletop scenes, with 12 randomly arranged objects, featuring different backgrounds: 3 scenes with homogeneous background; 3 scenes with wood; 3 scenes with black background; and 5 scenes with a high-clutter background (several prints of Pollock’s painting). The data are presented in the publication: De Gregorio, D., Zanella, R., Palli, G., & Di Stefano, L. (2020). Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. (in press)
Development and Application of a Predictive Model for Treated Wastewater Irrigation Management in a Semiarid Area
Get PDFThe use of treated wastewater (TWW) as an alternative resource to fresh water (FW) for irrigation purposes is becoming increasingly important, especially in semiarid and arid regions. However, achieving success in crop production largely depends on the adoption of appropriate on‐farm management strategies aimed at optimizing crop yields, maintaining soil productivity and safeguarding the environment. For this purpose, predictive models are of particular interest. A safe irrigation management (SIM) model developed and tested in this research was used to schedule irrigation under controlled management tailored to the use of 1) TWW and 2) FW and to reproduce farmers' strategies. These management strategies aim to improve actual irrigation practices, accounting for water quality, soil characteristics, and crop yield. The results of the application of SIM on a citrus farm in Souss‐Massa, Morocco, show that the management strategy adopted by farmers withdraws considerable amounts of water and results in substantial drainage volumes compared to those in the SIM strategy. In the specific case of TWW, the strategy simulated by the SIM model resulted in a decrease in yield of approximately 4%, compared to the 23% decrease derived from the farmers' traditional strategy. Moreover, SIM allowed for great savings in terms of fertilizing elements and for the reduction in the movement of water and salts beyond the root zone, usually considered the main source of groundwater contamination. These results confirm the appropriateness of using prediction models and the accuracy of the SIM model in adapting irrigation strategies to TWW, which will be an integral part of the strategies that encourage their use in irrigated agriculture
MADFORWATER. WP3 Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture. Task3.2 Engineering innovative irrigation technologies adapted to the target Mediterranean African Countries and to treated wastewater reuse. Subtask3.2.2 Calibrated nozzles for localized irrigation with treated wastewater
No full textThe data set consists of: (i) experimental data from laboratory, using fresh water (FW) or synthetic wastewater (WW), and field observations with real treated wastewater (TWW); (ii) detailed description of the fluid mechanics simulation process, performed for an irrigation emitter designed during MADFORWATER project. This emitter is able to withstand long terms exposure to low quality effluents without any drop in its discharge. Simulation aims at evaluating various emitters design to obtain an optimal pressure-discharge curve from a localized irrigation micro-sprinkler, while the data collected from experimental field results aim at evaluating the innovative micro-sprinkler in terms of droplet production. Similar data have been collected on standard irrigation sprinklers, the objective of the research is to control the droplet size spectrum. The characteristics of existing sprinklers are not identified (droplet size is not measured) or not adapted to TWW. Potential users of this data set may include all TWW reusers that want to get rid of clogging problems or at least minimize such problems
CATCH-EyoU. Processes in Youth’s Construction of Active EU Citizenship. Italian WP9 YPAR evaluation. EXTRACT. Wellbeing, Trust and Participation
No full textThis dataset contains the underlying data of the following article published in the Journal Health Education & Behaviour:
Prati, G., Mazzoni, D., Guarino A., Albanesi, C., Cicognani, E., (in press) Evaluation of an Active Citizenship Intervention Based on Youth-Led Participatory Action Research. Health Education & Behaviour.
The dataset consists of pretest-posttest control group quantitative data collected in Italy within Work Package 9 of the research project CATCH EyoU (Constructing AcTive CitizensHip with European YOUth: Policies, Practices, Challenges and Solutions). The sample consists of 69 Italian adolescents (35 in the intervention group; 34 in the control group) from 10th/11th grade between 15 and 17 years old who participated in two waves of data collection (Ntot cases= 94). They participated in the study on a voluntary basis and filled paper and online questionnaires, before and after the implementation of a Youth - Participatory Action Research (YPAR) in school. The data was used to evaluate the impact of YPAR in terms of European identification, social well-being, institutional trust, participation and political alienation. In particular, the following variables are included: age, group (intervention vs. control), gender, national or ethnical citizenship, SES status, European identification, political alienation, institutional trust, participation, social wellbeing and attitudes towards Europe.
This data is made available for open access in compliance with H2020 Program regulation, following the guidelines stipulated by the Data Management Plan adopted by the CATCH-EyoU research project
iSCAPE. WP3. Effects of Photocatalytic Coatings in reducing NOx pollutant concentrations. August 2018
No full textThis dataset contains the observations of air quality collected within one experimental campaign conducted in August 2018 at Lazzaretto campus of the University of Bologna to verify the effectiveness of photocatalytic coatings in reducing pollutant concentrations. The dataset also contains the meteorological data collected during non-synoptic periods, representing the ideal condition to assess the behavior of the local circulation and turbulence. This experimental field campaign was conducted under WP3 (“Planning and evaluation of PCS solutions”) of the iSCAPE project.
Briefly, two parallel street canyons were instrumented for measurements of meteorology and turbulence variables at two height levels, while pollutant concentrations were monitored at ground level inside both canyons. After a first period of parallel contemporary measurements to verify the presence of intrinsic differences between the two canyons, one of the two canyons (Canyon A) was painted with photocatalytic coatings, while the other (Canyon B) was left untouched and used as reference canyon.
This dataset is linked to the paper “The effect of photocatalytic coatings on NOx concentrations in real-world street canyons” by Brattich E. et al., which has been submitted for publication on “Science of the Total Environment” edited by Elsevier. If you use this dataset for your research or work purposes, we ask that you acknowledge us in the use of your data, which can be done by including a proper citation in any documents or publications using these data
Fight Against Recidivism in Italy: A Case-Study Analysis
Get PDFReducing the rate of recidivism and promoting social and community (re)integration trajectories means supporting offenders to allow them to regain their place in society. It is through social reintegration programs, both inside and outside prisons, that the State, via the prison administration, tries to translate the dictates of article 27 of the Italian Constitution into pratictal terms, that is: “Punishment cannot consist in inhuman treatment and must aim at the rehabilitation of the convicted person”
Politically connected cities: Italy 1951-1991
Get PDFThe paper estimates the political connection premium for Italian cities tracked during the second half of the 1900s, when the role of the state in the economy was very widespread. It leverages the peculiar features of the gridlocked political landscape in place between the end of World War II and the fall of the Berlin wall, during which most influential politicians remained in charge for a very long time. We compare connected cities - small areas surrounding birthplaces of both prime ministers and leaders of the parties in power - with very similar, but unconnected
municipalities, and find that politically connected cities gained a population premium of 8% over 40 years. When the connection ends, the difference in growth rate fades away. We document that birthplaces of powerful politicians benefited from both infrastructure investments and the location of plants by state-owned enterprises. Not surprisingly, the connection favored industrialization, raised employment and wages, but crowded out private entrepreneurship. Finally, our empirical evidence indicates that agglomeration economies in treated municipalities were not higher, thus suggesting that, if anything, place-based interventions linked to political connections have not been output-enhancing from a nationwide point of view
Italian Oxymorons 1.0
No full textThe dataset contains 376 Italian oxymorons (first version, released on June 2020) with their English translation. The dataset also provides, for each oxymoron, its syntactic structure, the pair of antonyms it relies on, and the corpus/corpora from which it was extracted
PLOTINA FIinal Conference Book of Abstracts. Regendering Science for an Inclusive Research Environment.
Get PDFThis E-book is a result of the H2020 PLOTINA project Final Conference, ReGendering Science. For an inclusive research environment, held in the Università di Bologna (27th-28th of January 2020, https://www.plotina.eu/plotina-final-conference/). It includes the abstracts selected thanks to the call for abstracts that the Consortium – in collaboration with scholars from different European institutions – launched in October 2019. PLOTINA: Promoting gender balance and Inclusion in Research Innovation and Training (G.A. 666008) aimed at identifying and addressing the obstacles hampering gender equality in Research Performing Organizations