A connectivist approach to smart city learning : Valletta city case-study

A connectivist approach will be adopted to design and evaluate learning in technology-enhanced open spaces in Valletta city. Learning is considered as a process of creating connections between learner’s inner cognitive and affective systems with the external physical and social worlds. These interactions are organised within a model comprising dimensions and levels of interactions. The experience for a learner in a technology-enhanced historical place will be designed considering interactions with the content domain (history, botany, art), the technological dimension (interaction between handheld devices and the available signals such as 3/4G, Wifi or GNSS) and the social dimension comprising interactions with fellow learners /citizens and domain experts. The levels of interactions are related to learner’s experience within the subject domain, with technology and one’s status or role in learning community or community of practice. Thus learning experiences have to be designed considering acquisition level for novice learners, participatory learning for more experience learners and contributory learning for highly competent learners. This connectivist model will be applied to identified places of historical or educational interest in Valletta city to design different modes of learning mediated through interactive technologies. The concept of Personal Learning Environments in Smart cities [1] will be used to provide technology-enhanced experiences in Playful learning, Seamless learning, Geo-learning, Citizen enquiry and Crowd learning. A number of these technology-enhanced learning experiences, developed in collaboration with CYBERPARKS ACTION’s WG1, will be contextualized in Valletta city. University of Malta will provide the domain content and resources, together with the pedagogical strategy for each learning experience. Researchers from WG1 will design and develop the technological model and infrastructure, mainly the Android-based Way-Cyberparks App that will integrate GNSS-based learning, Augmented Reality, Navigation tracing and other functionalities used for specific tasks and type of data collection. An interactions-based methodology will be used to evaluate learning along the identified dimensions.Funded by the Horizon 2020 Framework Programme of the European Union.peer-reviewe

Radiation tests on commercial instrumentation amplifiers, analog switches & DAC's

A study of several commercial instrumentation amplifiers (INA110, INA111, INA114, INA116, INA118 & INA121) under neutron and vestigial gamma radiation was done. Some parameters (Gain, input offset voltage, input bias currents) were measured on-line and bandwidth, and slew rate were determined before and after radiation. The results of the testing of some voltage references REF102 and ADR290GR and the DG412 analog switch are shown. Finally, different digital-to-analog converters were tested under radiation. (6 refs)

Performance of a 128 channel analogue front-end chip for read-out of Si strip detector modules for LHC experiments

We present a 128-channel analogue front-end chip, SCT128A-HC, for readout of silicon strip detectors employed in the inner tracking detectors of the LHC experiment. The chip is produced in the radiation hard DMILL technology. The architecture of the chip and critical design issues are discussed. The performance of the chip has been evaluated in details in the test bench and is presented in the paper. The chip is used to read out prototype analogue modules compatible in size, functionality and performance with the ATLAS SCT base line modules. Several full size detector modules equipped with SCT128A-HC chips has been built and tested successfully in the lab with beta particles as well as in the test beam. The results concerning the signal-to-noise ratio, noise occupancy, efficiency and spatial resolution are presented. The radiation hardness issues are discussed. (5 refs)

The ATLAS SCT grounding and shielding concept and implementation

This paper presents a complete description of Virgo, the French-Italian gravitational wave detector. The detector, built at Cascina, near Pisa (Italy), is a very large Michelson interferometer, with 3 km-long arms. In this paper, following a presentation of the physics requirements, leading to the specifications for the construction of the detector, a detailed description of all its different elements is given. These include civil engineering infrastructures, a huge ultra-high vacuum (UHV) chamber (about 6000 cubic metres), all of the optical components, including high quality mirrors and their seismic isolating suspensions, all of the electronics required to control the interferometer and for signal detection. The expected performances of these different elements are given, leading to an overall sensitivity curve as a function of the incoming gravitational wave frequency. This description represents the detector as built and used in the first data-taking runs. Improvements in different parts have been and continue to be performed, leading to better sensitivities. These will be detailed in a forthcoming paper

The integration of an augmented reality module within the Way- Cyberparks app. : the case study of Valletta city

Latest improvements on mobile devices capabilities are changing the way people interact with their surroundings. Nowadays, devices are able to sense the environment and user’s location, enabling the user to experience improved digital services. This is a key aspect of public spaces enhancement, which plays a pivotal role for the improvement of public spaces; a key to make public locations more accessible, interactive and enjoyable. One of the most powerful technologies enabling this innovative set of services is known as Augmented Reality (AR). More in depth, AR allows users to visualise in real time virtual information about the physical objects of the real world, directly on the display of their own devices. AR provides innovative way-finding widgets and context-awareness services. Along with the aims of the COST Action Cyberparks, our aim is to improve the App delivered during the first stages of the project (Way-Cyberparks) with AR functionalities, by developing a location-based AR module tailored to be integrated within Way-Cyberparks. The AR section will link virtual geo-tagged annotations as an interface to (geo) spatial and attribute data, allowing users to quick access digital sensory inputs. The overarching idea is to populate the App with virtual signage fostering the fruition of public spaces by allowing users to experience new ways of moving within specific places. Thanks to that, on one hand, the App works as an interactive path-finder tool, heading visitors towards the most interesting locations or landmarks within a specific area (Points of Interest or POIs). On the other, users are enabled to create their own contents and upload them into the network of available POIs, enabling a true participative community. The city of Valletta has been chosen as first case study; here the AR module will be tested to identify historical locations and heritage buildings, acting as contextual objects for the Way- Cyberparks App.Funded by the Horizon 2020 Framework Programme of the European Union.peer-reviewe

Analogue read-out chip for Si strip detector modules for LHC experiments

We present a 128-channel analogue front-end chip SCTA128 for readout of silicon strip detectors employed in the inner tracking detectors of LHC experiments. The architecture of the chip and critical design issues are discussed. The performance of the chip has been evaluated in detail in bench tests and is presented in the paper. The chip is used to read out prototype analogue modules compatible in size, functionality and performance with the ATLAS SCT base line modules. Several full size detector modules equipped with SCTA128 chips have been built and tested successfully in the lab with E particles as well as in beam tests

Highlights from the Pierre Auger Observatory

The Pierre Auger Observatory is the world's largest cosmic ray observatory. Our current exposure reaches nearly 40,000 km$^2$ str and provides us with an unprecedented quality data set. The performance and stability of the detectors and their enhancements are described. Data analyses have led to a number of major breakthroughs. Among these we discuss the energy spectrum and the searches for large-scale anisotropies. We present analyses of our X$_{max}$ data and show how it can be interpreted in terms of mass composition. We also describe some new analyses that extract mass sensitive parameters from the 100% duty cycle SD data. A coherent interpretation of all these recent results opens new directions. The consequences regarding the cosmic ray composition and the properties of UHECR sources are briefly discussed.Comment: 9 pages, 12 figures, talk given at the 33rd International Cosmic Ray Conference, Rio de Janeiro 201

The Pierre Auger Observatory III: Other Astrophysical Observations

Astrophysical observations of ultra-high-energy cosmic rays with the Pierre Auger ObservatoryComment: Contributions to the 32nd International Cosmic Ray Conference, Beijing, China, August 201