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.

scholarly journals Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Dhruvil Shah ◽  
Devarsh Patel ◽  
Jainish Adesara ◽  
Pruthvi Hingu ◽  
Manan Shah
Keyword(s):  
Machine Learning ◽  
Education Sector ◽  
Student Records ◽  
Job Roles ◽  
Student Data ◽  
Disruptive Technologies ◽  
Valid Data ◽  
The Future ◽  
Student Achievements ◽  
The University

AbstractAlthough the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancements. Two of the most disruptive technologies, machine learning (ML) and blockchain, have helped replace conventional approaches used in the education sector with highly technical and effective methods. In this study, a system is proposed that combines these two radiant technologies and helps resolve problems such as forgeries of educational records and fake degrees. The idea here is that if these technologies can be merged and a system can be developed that uses blockchain to store student data and ML to accurately predict the future job roles for students after graduation, the problems of further counterfeiting and insecurity in the student achievements can be avoided. Further, ML models will be used to train and predict valid data. This system will provide the university with an official decentralized database of student records who have graduated from there. In addition, this system provides employers with a platform where the educational records of the employees can be verified. Students can share their educational information in their e-portfolios on platforms such as LinkedIn, which is a platform for managing professional profiles. This allows students, companies, and other industries to find approval for student data more easily.

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 University dropout. Causes and solution

2019 ◽  
Vol 1 (1) ◽  
pp. 71-75
Author(s):  
Camelia Stăiculescu ◽  
Richiteanu Nastase Elena Ramona
Keyword(s):  
Retention Rate ◽  
Academic Training ◽  
Counseling Services ◽  
Prior Training ◽  
Student Background ◽  
Social Nature ◽  
Personal Level ◽  
Low Levels ◽  
University Dropout ◽  
The University

The phenomenon of university dropout is met in all universities in the world and its effects are felt both at the economic level, at the level of society and at the personal level of students who abandon the university. Factors leading to university dropout may be of a social nature (student background, income level, so on.), psycho-pedagogical (inadequate academic training, inconsistency between prior training and university studies, lack of counseling services, so on)and personal (poor adaptability to the university, low levels of socio-emotional intelligence, so on). Universities need to cope with this phenomenon and adapt and develop prevention and intervention services so that students' retention rate rises. The paper analyzes this phenomenon in The Bucharest University of Economic Studies and identifies possible solutions for diminishing the phenomenon.

scholarly journals Measuring the Impact of Student Background Checks on Reducing Crime in Higher Education

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Stephanie F. Hughes ◽  
Teressa L. Elliott ◽  
Margaret Myers
Keyword(s):  
Higher Education ◽  
Student Background ◽  
Background Checks ◽  
The Impact

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 Pemetaan Sebaran Domisili Mahasiswa Menggunakan Leaflet Maps Pada Sistem Informasi Eksekutif

2020 ◽  
Vol 19 (2) ◽  
pp. 25-30
Author(s):  
Randi Rizal ◽  
Yusuf Sumaryana
Keyword(s):  
Information System ◽  
System Development ◽  
Data Distribution ◽  
Extreme Programming ◽  
Development Method ◽  
Student Data ◽  
University Level ◽  
The University ◽  
Executive Information System

One of the problems at the university level is the unmapped data of students so that executives on campus have difficulty in recompiling the data on the distribution of the student's domicile. In order for the executive to get supporting data in determining decisions so that promotion of university introduction can be spread to various regions, an information system for disseminating student data based on their domicile is needed. This research has implemented a leaflet map with the Extreme Programming (XP) system development method to visualize the student domicile map in the executive information system. In the previous study, only a node or point in the visualization of the distribution of student data, the researcher used a leaflet map because it was more visualizing with a color graphic showing the amount of data distribution.

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.

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