SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Ferrari P) srt2:(2015-2019);mspu:(conferencepaper)"

Sökning: WFRF:(Ferrari P) > (2015-2019) > Konferensbidrag

  • Resultat 1-10 av 22
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Diakaki, M., et al. (författare)
  • Towards the high-accuracy determination of the 238U fission cross section at the threshold region at CERN -€“ n_TOF
  • 2016
  • Ingår i: EPJ Web of Conferences. - : EDP Sciences. - 2100-014X.
  • Konferensbidrag (refereegranskat)abstract
    • The U-238 fission cross section is an international standard beyond 2 MeV where the fission plateau starts. However, due to its importance in fission reactors, this cross-section should be very accurately known also in the threshold region below 2 MeV. The U-238 fission cross section has been measured relative to the U-235 fission cross section at CERN - n_TOF with different detection systems. These datasets have been collected and suitably combined to increase the counting statistics in the threshold region from about 300 keV up to 3 MeV. The results are compared with other experimental data, evaluated libraries, and the IAEA standards.
  •  
2.
  • Paradela, C., et al. (författare)
  • High accuracy 235U(n,f) data in the resonance energy region
  • 2016
  • Ingår i: EPJ Web of Conferences. - : EDP Sciences. - 2100-014X.
  • Konferensbidrag (refereegranskat)abstract
    • The U-235 neutron-induced cross section is widely used as reference cross section for measuring other fission cross sections, but in the resonance region it is not considered as an IAEA standard because of the scarce experimental data covering the full region. In this work, we deal with a new analysis of the experimental data obtained with a detection setup based on parallel plate ionization chambers (PPACs) at the CERN n_TOF facility in the range from 1 eV to 10 keV. The relative cross section has been normalised to the IAEA value in the region between 7.8 and 11 eV, which is claimed as well-known. Comparison with the ENDF/B-VII evaluation and the IAEA reference file from 100 eV to 10 keV are provided.
  •  
3.
  • Leal-Cidoncha, E., et al. (författare)
  • Fission Fragment Angular Distribution measurements of 235U and 238U at CERN n_TOF facility
  • 2016
  • Ingår i: EPJ Web of Conferences. - : EDP Sciences. - 2100-014X.
  • Konferensbidrag (refereegranskat)abstract
    • Neutron-induced fission cross sections of U-238 and U-235 are used as standards in the fast neutron region up to 200 MeV. A high accuracy of the standards is relevant to experimentally determine other neutron reaction cross sections. Therefore, the detection efficiency should be corrected by using the angular distribution of the fission fragments (FFAD), which are barely known above 20 MeV. In addition, the angular distribution of the fragments produced in the fission of highly excited and deformed nuclei is an important observable to investigate the nuclear fission process. In order to measure the FFAD of neutron-induced reactions, a fission detection setup based on parallel-plate avalanche counters (PPACs) has been developed and successfully used at the CERN-n_TOF facility. In this work, we present the preliminary results on the analysis of new U-235(n,f) and U-238(n,f) data in the extended energy range up to 200 MeV compared to the existing experimental data.
  •  
4.
  • Leal-Cidoncha, E., et al. (författare)
  • High accuracy 234U(n,f) cross section in the resonance energy region
  • 2017
  • Ingår i: ND 2016. - Les Ulis : EDP Sciences. - 9782759890200
  • Konferensbidrag (refereegranskat)abstract
    • New results are presented of the 234U neutron-induced fission cross section, obtained with high accuracy in the resonance region by means of two methods using the 235U(n,f) as reference. The recent evaluation of the 235U(n,f) obtained with SAMMY by L. C. Leal et al. (these Proceedings), based on previous n_TOF data [1], has been used to calculate the 234U(n,f) cross section through the 234U/235U ratio, being here compared with the results obtained by using the n_TOF neutron flux.
  •  
5.
  • Iablonskyi, D., et al. (författare)
  • Interatomic Coulombic Decay Processes after Multiple Valence Excitations in Ne Clusters
  • 2015
  • Ingår i: Journal of Physics: Conference Series. - : IOP Publishing. - 1742-6588 .- 1742-6596. ; 635, s. 112067-112067
  • Konferensbidrag (refereegranskat)abstract
    • We present a comprehensive analysis of autoionization processes in Ne clusters (similar to 5000 atoms) after multiple valence excitations by free electron laser radiation. The evolution from 2-body interatomic Coulombic decay (ICD) to 3-body ICD is demonstrated when changing from surface to bulk Frenkel exciton excitation. Super Coster-Kronig type 2-body ICD is observed at Wannier exciton which quenches the main ICD channel.
  •  
6.
  • Carvalho, D. F., et al. (författare)
  • Architecture for the interconnection of prototypical medical instrument via cloud services
  • 2019
  • Ingår i: Proceedings. - 9781538634608
  • Konferensbidrag (refereegranskat)abstract
    • Medical cyber-physical systems (MCPS) have been appeared as a possible approach for detecting and mitigating human errors. In this context, a MCPS in which medical and non-medical devices are connected could promptly detect potential risky or wrong procedures that deviate from standardized approaches. In this work, such a paradigm has been expanded to prototypical diagnostic devices. A distributed platform of such instruments is proposed in order to avoid misdiagnosis: diagnostic instrument send data to a message-oriented middleware, thus allowing technicians and doctors to remotely access test-related information for further processing and for creating an historical database. A Broker has been used for collecting data and distribute them to cloud database and to users. Two of the most diffused protocols, i.e., MQTT and AMQP, have been considered. An experimental setup has been developed to verify performance; time-related metrics confirm that the proposed approach has an end-to-end delay on few hundreds of milliseconds even for geographical scale networks. © 2019 IEEE.
  •  
7.
  • Rinaldi, S., et al. (författare)
  • Are cloud services aware of time? : an experimental analysis oriented to industry 4.0
  • 2019
  • Ingår i: Proceedings. - : IEEE Computer Society. - 9781538676066
  • Konferensbidrag (refereegranskat)abstract
    • In the last years, the industrial automation has experienced a deep transformation known as Industry4.0, and it is driven by Internet of Things (IoT) paradigm. The IoT-based automation is based on well-defined data models, which make easy the interaction among devices. Generally, the data generated by IoT sensors are elaborated to obtain value added services (such as predictive maintenance), exploiting cloud services and remote servers. An accurate timestamp of the data generated by sensors is required to maintain an adequate level of such services: an 'easy' task in the case of a new deployment, but a nightmare when existing plants or machinery are retrofitted. In this case, the data are timestamped at cloud level, using the remote time. In such situations, a knowledge of the sense of time of cloud services is fundamental to guarantee the quality of data elaboration. The target of the research is an experimental characterization and a comparison of time awareness of different commercial cloud service providers (i.e. Amazon AWS, Google Cloud and Microsoft Azure). The characterization highlights as, generally, the performance provided by different platform is comparable each other. The time offset of NTP (Network Time Protocol) clients running on different Virtual Machines (VMs) has an uncertainty ranging from 0.05 ms up to 0.6 ms depending by the client configuration. Such results demonstrate that extreme care must be taken when using the time of remote VMs. © 2019 IEEE.
  •  
8.
  • Bonafini, F., et al. (författare)
  • Cluster of IoT Sensors for Smart Cities : Impact of the Communication Infrastructure over Computational Performance
  • 2019
  • Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538677131
  • Konferensbidrag (refereegranskat)abstract
    • The Smart City (SC) paradigm is based on the integration of Information and Communication Technology (ICT) into the urban asset, for the optimal management of the energies and resources. The Internet of Thing (IoT) technology seems the proper solution to achieve this target, thanks to its capability to abstract the object in the real world. The deployment of IoT devices at different level in urban infrastructures is causing the presence of thousands of intelligent devices, large part of them with unused computational capabilities. Such devices could be integrated in a cluster in order to share the unused resources with other devices with limited computational resources. The use of a cluster of IoT Sensors has several benefits, including, but not limited to: high availability, sharing of computational resources, reduced response time with the respect of centralized cloud computing solution. The main bottleneck of this approach is represented by the communication infrastructure, typically based on wireless connection and, thus with a limited available bandwidth. The aim of the work related to this paper is to analyze the impact the communication infrastructure has on computational performance of a cluster of IoT sensors. An experimental set-up for the characterization of the performance of a cluster of low-cost off-the-shelf devices has been described. The experimental validation highlighted as the network infrastructure is loaded only during the data transfer and the maximum network load, with a cluster of ten IoT nodes is approximately 2 Mb/s with the considered benchmark. © 2019 IEEE.
  •  
9.
  • Bonafini, F., et al. (författare)
  • Evaluating indoor and outdoor localization services for LoRaWAN in Smart City applications
  • 2019
  • Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728104294 ; , s. 300-305
  • Konferensbidrag (refereegranskat)abstract
    • Nowadays, wireless technologies penetrate all aspects of our lives. 'Internet of Things' (IoT) and 'Location- Based Services' are the pillars of Smart City concept. The IoT smart objects surrounding us are an integral part of the Internet, thanks to their computational and communication capabilities. In such applications, location information can be exploited in all the layers of the stack, from the application level (e.g., to correctly interpret measurements from sensor nodes deployed on the field), down to the physical level (e.g., for sensing coverage). One of the most viable solutions for Smart City wireless connectivity seems to be the use of long-range, low-power and low-throughput low-power wide area networks (LPWANs). In this work, the authors devise the jointly use of LPWANs with widely-diffused and well-accepted localization techniques, as the Global Positioning Systems (GPS, outdoor) and real-time location systems (RTLS, indoor), for Smart Campus applications. In particular, a LoRaWAN node equipped with both GPS and Ultra Wide Bandbased UWB-RTLS has been developed and tested in real-world scenarios. Experimental results demonstrate the feasibility of the proposed approach; in particular, location errors are in the order of few tens of meters for GPS and in the order of few tens of centimeters for UWB. © 2019 IEEE.
  •  
10.
  • Depari, A., et al. (författare)
  • Lightweight Machine Learning-Based Approach for Supervision of Fitness Workout
  • 2019
  • Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538677131
  • Konferensbidrag (refereegranskat)abstract
    • It is widely known that physical activity helps preventing several diseases. However, unsupervised training often results in low exercise quality, ineffective training, and, in worst cases, injuries. Automatic tracking and quantification of exercises by means of wearable devices could be an effective mean for the monitoring of exercise correctness. As a consequence, such devices could help motivating people, thus improving the quantity of performed physical exercise, with positive effects on users' health conditions. However, despite the availability of several commercial devices, the performance and effectiveness are not well documented. This work proposes a new solution for fitness workout supervision exploiting machine learning techniques, in particular Linear Discriminant Analysis for analyzing data coming from wearable Inertial Measurement Units. Efforts have been done in order to reduce the computational requirements, thus assuring compatibility in perspective of embedded implementation. The experimental tests carried out to assess the proposed approach performance showed an accuracy in exercise detection over 93% and error in exercise counting less than 6%. © 2019 IEEE.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-10 av 22

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy