scholarly journals Bringing University to homes in times of COVID-19 through technologies: Use case of the University of Cuenca

2020 ◽  
Author(s):  
Victor Saquicela ◽  
Pablo Vanegas ◽  
Ronald Gualan ◽  
Richard Verdesoto
Keyword(s):  
Use Case ◽  
The University

scholarly journals Challenges of Building and Maintaining an Image Database: a use case based on the Digital Research Archive for Byzantium (DiFAB)

2017 ◽  
Vol 70 (2) ◽  
pp. 208-224
Author(s):  
Nina Rannharter ◽  
Sarah Teetor
Keyword(s):  
Material Culture ◽  
Image Database ◽  
Complex Nature ◽  
Use Case ◽  
Culturally Specific ◽  
University Of Vienna ◽  
Metadata Standards ◽  
The University ◽  
Case Based ◽  
Digital Research

Due to the complex nature of archival images, it is an ongoing challenge to establish a metadata architecture and metadata standards that are easy to navigate and take into consideration future requirements. This contribution will present a use case in the humanities based on the Digital Research Archive for Byzantium (DiFAB) at the University of Vienna. Tracing one monument and its photographic documentation, this paper will highlight some issues concerning metadata for images of material culture, such as: various analog and digital forms of documentation; available thesauri – including problems of historical geography, multilingualism, and culturally specific terminologies –; and the importance of both precise and imprecise dating for cultural historians and their research archives.

scholarly journals Managing a heterogeneous scientific computing cluster with cloud-like tools: ideas and experience

2019 ◽  
Vol 214 ◽  
pp. 07030
Author(s):  
Marco Aldinucci ◽  
Stefano Bagnasco ◽  
Matteo Concas ◽  
Stefano Lusso ◽  
Sergio Rabellino ◽  
...  
Keyword(s):  
Scientific Computing ◽  
Use Cases ◽  
Solid State Chemistry ◽  
Use Case ◽  
Level Control ◽  
Data Manipulation ◽  
Wide Range ◽  
The University ◽  
Computing Infrastructure ◽  
Computing Cluster

Obtaining CPU cycles on an HPC cluster is nowadays relatively simple and sometimes even cheap for academic institutions. However, in most of the cases providers of HPC services would not allow changes on the configuration, implementation of special features or a lower-level control on the computing infrastructure, for example for testing experimental configurations. The variety of use cases proposed by several departments of the University of Torino, including ones from solid-state chemistry, computational biology, genomics and many others, called for different and sometimes conflicting configurations; furthermore, several R&D activities in the field of scientific computing, with topics ranging from GPU acceleration to Cloud Computing technologies, needed a platform to be carried out on. The Open Computing Cluster for Advanced data Manipulation (OCCAM) is a multi-purpose flexible HPC cluster designed and operated by a collaboration between the University of Torino and the Torino branch of the Istituto Nazionale di Fisica Nucleare. It is aimed at providing a flexible and reconfigurable infrastructure to cater to a wide range of different scientific computing needs, as well as a platform for R&D activities on computational technologies themselves. We describe some of the use cases that prompted the design and construction of the system, its architecture and a first characterisation of its performance by some synthetic benchmark tools and a few realistic use-case tests.

scholarly journals Towards Flexible Integration of 5G and IIoT Technologies in Industry 4.0: A Practical Use Case

2020 ◽  
Vol 10 (21) ◽  
pp. 7670
Author(s):  
Jorge Sasiain ◽  
Ane Sanz ◽  
Jasone Astorga ◽  
Eduardo Jacob
Keyword(s):  
Industry 4.0 ◽  
Information Technologies ◽  
Manufacturing Industry ◽  
Use Case ◽  
Control Mechanisms ◽  
Industrial Internet ◽  
Flexible Integration ◽  
And Performance ◽  
Key Enabling Technologies ◽  
The University

The Industry 4.0 revolution envisions fully interconnected scenarios in the manufacturing industry to improve the efficiency, quality, and performance of the manufacturing processes. In parallel, the consolidation of 5G technology is providing substantial advances in the world of communication and information technologies. Furthermore, 5G also presents itself as a key enabler to fulfill Industry 4.0 requirements. In this article, the authors first propose a 5G-enabled architecture for Industry 4.0. Smart Networks for Industry (SN4I) is introduced, an experimental facility based on two 5G key-enabling technologies—Network Functions Virtualization (NFV) and Software-Defined Networking (SDN)—which connects the University of the Basque Country’s Aeronautics Advanced Manufacturing Center and Faculty of Engineering in Bilbao. Then, the authors present the deployment of a Wireless Sensor Network (WSN) with strong access control mechanisms into such architecture, enabling secure and flexible Industrial Internet of Things (IIoT) applications. Additionally, the authors demonstrate the implementation of a use case consisting in the monitoring of a broaching process that makes use of machine tools located in the manufacturing center, and of services from the proposed architecture. The authors finally highlight the benefits achieved regarding flexibility, efficiency, and security within the presented scenario and to the manufacturing industry overall.

scholarly journals Use of LOINC and SNOMED CT with FHIR for Microbiology Data

2021 ◽  
Author(s):  
Eugenia Rinaldi ◽  
Julian Saas ◽  
Sylvia Thun
Keyword(s):  
Infection Control ◽  
Data Sharing ◽  
Information Exchange ◽  
International Standards ◽  
University Hospital ◽  
Use Case ◽  
Snomed Ct ◽  
University Hospitals ◽  
Related Data ◽  
The University

Infectious diseases due to microbial resistance pose a worldwide threat that calls for data sharing and the rapid reuse of medical data from health care to research. The integration of pathogen-related data from different hospitals can yield intelligent infection control systems that detect potentially dangerous germs as early as possible. Within the use case Infection Control of the German HiGHmed Project, eight university hospitals have agreed to share their data to enable analysis of various data sources. Data sharing among different hospitals requires interoperability standards that define the structure and the terminology of the information to be exchanged. This article presents the work performed at the University Hospital Charité and Berlin Institute of Health towards a standard model to exchange microbiology data. Fast Healthcare Interoperability Resources (FHIR) is a standard for fast information exchange that allows to model healthcare information, based on information packets called resources, which can be customized into so-called profiles to match use case- specific needs. We show how we created the specific profiles for microbiology data. The model was implemented using FHIR for the structure definition, and the international standards SNOMED CT and LOINC for the terminology services.

scholarly journals Alumnichain: Blockchain Based Records Verification Service

2019 ◽  
Vol 8 (12) ◽  
pp. 4296-4299
Keyword(s):  
Use Case ◽  
Student Background ◽  
Student Data ◽  
Background Checks ◽  
The University

The proposed system is a ledger of student qualifications that aims at making recruitment processes simpler for the universities, recruiters as well as the students. Instead of continuing with the traditional way, of background checks that take even days worth of time and cost a lot of money, we have proposed an instant student background verification service that allows verification of data by recruiters, that has been signed by the university and uploaded to an immutable, secure ledger called the blockchain or as we call it, the Alumnichain. The students simply have to include a code provided to them, to their CVs which can be scanned by the recruiters, to have all student data instantly verified. The data stored on the network is not in plaintext and is encrypted to ensure security against potential data thefts. All this is achieved through a blockchain implementation of the above described use case, which has proved to be a solution to so many problems since its inception, starting with Bitcoin in 2008.

Proceedings of The Modern Language Association of America

PMLA ◽  
1935 ◽  
Vol 50 (4) ◽  
pp. 1343-1343
Keyword(s):  
Modern Language Association ◽  
Modern Language ◽  
Local Committee ◽  
Tuesday Morning ◽  
University Of Cincinnati ◽  
The University ◽  
Plaza Hotel

The fifty-second meeting of the Modern Language Associationof America was held, on the invitation of the University of Cincinnati, at Cincinnati, Ohio, Monday, Tuesday, and Wednesday, December 30 and 31, 1935, and January 1, 1936. The Association headquarters were in the Netherland Plaza Hotel, where all meetings were held except those of Tuesday morning and afternoon. These took place at the University of Cincinnati. Registration cards at headquarters were signed by about 900, though a considerably larger number of members were in attendance. The Local Committee estimated the attendance at not less than 1400. This Committee consisted of Professor Frank W. Chandler, Chairman; Professor Edwin H. Zeydel; Professor Phillip Ogden; Mr. John J. Rowe (for the Directors); and Mr. Joseph S. Graydon (for the Alumni).

Spectrophotometric reductions with an IBM 1620

1966 ◽  
Vol 24 ◽  
pp. 116-117
Author(s):  
P.-I. Eriksson
Keyword(s):  
Astronomical Data ◽  
Spectrophotometric Data ◽  
Electronic Computers ◽  
The University ◽  
Near Future

Nowadays more and more of the reductions of astronomical data are made with electronic computers. As we in Uppsala have an IBM 1620 at the University, we have taken it to our help with reductions of spectrophotometric data. Here I will briefly explain how we use it now and how we want to use it in the near future.

Novae in the Magellanic Clouds

1979 ◽  
Vol 46 ◽  
pp. 96-101
Author(s):  
J.A. Graham
Keyword(s):  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Magellanic Clouds ◽  
University Of Michigan ◽  
The Past ◽  
Spectroscopic Information ◽  
Objective Prism ◽  
The University ◽  
Small Cloud ◽  
Low Dispersion

During the past several years, a systematic search for novae in the Magellanic Clouds has been carried out at Cerro Tololo Inter-American Observatory. The Curtis Schmidt telescope, on loan to CTIO from the University of Michigan is used to obtain plates every two weeks during the observing season. An objective prism is used on the telescope. This provides additional low-dispersion spectroscopic information when a nova is discovered. The plates cover an area of 5°x5°. One plate is sufficient to cover the Small Magellanic Cloud and four are taken of the Large Magellanic Cloud with an overlap so that the central bar is included on each plate. The methods used in the search have been described by Graham and Araya (1971). In the CTIO survey, 8 novae have been discovered in the Large Cloud but none in the Small Cloud. The survey was not carried out in 1974 or 1976. During 1974, one nova was discovered in the Small Cloud by MacConnell and Sanduleak (1974).

Production of New and Revised A.A.V.S.O. Charts

1979 ◽  
Vol 46 ◽  
pp. 368
Author(s):  
Clinton B. Ford
Keyword(s):  
Variable Star ◽  
Standard Form ◽  
Original Data ◽  
University Of Pennsylvania ◽  
Standard Format ◽  
Additional Information ◽  
The Gift ◽  
The University

A “new charts program” for the Americal Association of Variable Star Observers was instigated in 1966 via the gift to the Association of the complete variable star observing records, charts, photographs, etc. of the late Prof. Charles P. Olivier of the University of Pennsylvania (USA). Adequate material covering about 60 variables, not previously charted by the AAVSO, was included in this original data, and was suitably charted in reproducible standard format.Since 1966, much additional information has been assembled from other sources, three Catalogs have been issued which list the new or revised charts produced, and which specify how copies of same may be obtained. The latest such Catalog is dated June 1978, and lists 670 different charts covering a total of 611 variables none of which was charted in reproducible standard form previous to 1966.

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