21. Crash course on cybersecurity : a manual for surviving in a networked worldMatej Kovačič, 2022, znanstvena monografija Ključne besede: information security, cybersecurity, network security, passwords, physical security, backup, encryption, data wiping, VPN, anonymization
Objavljeno v RUNG: 30.08.2022; Ogledov: 2498; Prenosov: 43
 Povezava na celotno besedilo
Gradivo ima več datotek! Več... |
22. |
23. Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challengeBoris Panes, Christopher Eckner, Luc Hendriks, Sascha Caron, Klaas Dijkstra, Gudlaugur Johannesson, Roberto Ruiz de Austri, Gabrijela Zaharijas, 2021, izvirni znanstveni članek Ključne besede: gamma rays, astroparticle physics, data analysis
Objavljeno v RUNG: 17.02.2022; Ogledov: 3255; Prenosov: 11
Povezava na celotno besedilo
Gradivo ima več datotek! Več... |
24. Business-information system for smart homes based on Z-Wave technology : diploma thesisDavid Manchevski, 2021, diplomsko delo Opis: The goal of this thesis is to show how to create a system, that can be implemented in today’s market of smart home modules.
This will be done by introducing how the Z-Wave technology works, how it can be implemented in the user’s home. Furthermore, the functionalities of the Z-Wave technology will be presented together with the Z-Wave modules and their everyday uses. In addition, the business-information system can put on display how a smart home company operates, how the data is distributed between the departments of said smart home company. The business-information system is shown with the help of a data flow diagrams, entity relationship diagrams and a database of the data that is stored inside the particular database. This system will be used by a user interested in the buying the smart home technology products, partners, Z-wave certifiers, reclamation department.
Ključne besede: Z-Waves, smart homes, business-information systems, entity-relationship, processes, data flows, data stores, modules, diploma thesis
Objavljeno v RUNG: 24.01.2022; Ogledov: 3774; Prenosov: 94
Povezava na celotno besedilo
Gradivo ima več datotek! Več... |
25. Analysing security checkpoints for an integrated utility-based information systemSunil K. Muttoo, Rajan Gupta, Saibal K. Pal, 2016, objavljeni znanstveni prispevek na konferenci Opis: With the rising digital medium, the various digital applications are rising too. These applications can work in the private domain or public domain depending upon the environment and features. Of late, the public infrastructure in India is improving and thus digitisation of the services and processes are making it better for the government to function. Lots of new services and applications are planned through desktop-and mobile-based information systems. But any information system requires a good security cover for it to function correctly and efficiently. One such new system was proposed for integrating the various utility systems in Delhi, NCR, for which various security checkpoints are discussed in this paper. These are related to database security, network security, cryptography, and the user authentication process. These checkpoints will be helpful in making the newly proposed information system more secure and will also be helpful in analysing the need and scope of new security features in it. Security concerns are analysed at different levels of the information system and suggestions are made for the system which can be implemented in the currently proposed system. These suggestions can also be used in other similar systems as well as for improving and enhancing security at various levels.
Ključne besede: information systems, integrated utility system, database security, network security, data security, information system security, e-governance
Objavljeno v RUNG: 15.07.2021; Ogledov: 3442; Prenosov: 12
Povezava na celotno besedilo
Gradivo ima več datotek! Več... |
26. Quality control of protein reagents for the improvement of research data reproducibilityArio De Marco, Nick Berrow, Mario Lebendiker, Maria Garcia-Alai, Stefan H. Knauer, Blanca Lopez-Mendez, Andre Matagne, Annabel Parret, Kim Remans, Stephan Uebel, Bertrand Raynal, 2021, drugi znanstveni članki Ključne besede: protein quality, protein aggregation, data reproducibility
Objavljeno v RUNG: 17.05.2021; Ogledov: 3259; Prenosov: 16
Povezava na celotno besedilo
Gradivo ima več datotek! Več... |
27. Long-term ozone data analysisVjera Butković, Tomislav Cvitaš, Katja Džepina, Nenad Kezele, Leo Klasinc, 2002, izvirni znanstveni članek Opis: Various approaches to the analysis of 10-year continuous ozone monitoring from the EUROTRAC-TOR network station Puntijarka near Zagreb are reported. The site has a rural character (45.90degrees N; 15.97degrees E, 980 m a.s.l.) and is representative of the lower troposphere of a wider region. Mean hourly ozone volume fractions measured from 1990-1999, autocorrelation plots for all data and for data for summer periods (May-Sep.), box and whiskers representations of diurnal variations during winter (Nov.-March) and summer periods, mean monthly values and 12-month moving averages, and the Fourier transform of the complete set of 94,248 hourly mean ozone volume fractions are discussed. The data show no increase, or possibly a slight decrease, of the ozone volume fraction toward the end of the decade.
Ključne besede: long term ozone data, fourier analysis, ozone trend analysis, Puntijarka field station
Objavljeno v RUNG: 12.04.2021; Ogledov: 3423; Prenosov: 0
Gradivo ima več datotek! Več... |
28. Measuring data quality across open government datasetsRajan Gupta, Sushmita Yadav, Avinash Prasad, Saibal K. Pal, 2019, objavljeni znanstveni prispevek na konferenci Opis: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work.
Ključne besede: data quality assessment, open government datasets, e-governance, data quality measures
Objavljeno v RUNG: 05.04.2021; Ogledov: 3386; Prenosov: 0
Gradivo ima več datotek! Več... |
29. Technological and analytical review of contact tracing apps for COVID-19 managementRajan Gupta, Gaurav Pandey, Poonam Chaudhary, Saibal K. Pal, 2021, izvirni znanstveni članek Opis: Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solutions that are used by more than 100 countries today. This study presents a structured research review-based framework related to multiple contact tracing applications. The various components of the framework are related to technological working, design architecture, and feature analysis of the applications, along with the analysis of the acceptance of such applications worldwide. Also, components focusing on the security features and analysis of these applications based on Data Privacy, Security Vetting, and different attacks have been included in the research framework. Many applications are yet to explore the analytical capabilities of the data generated through contact tracing. The various use-cases identified for these applications are detecting positive case probability, identifying a containment zone in the country, finding regional hotspots, monitoring public events & gatherings, identifying sensitive routes, and allocating resources in various regions during the pandemic. This study will act as a guide for the users researching contact tracings applications using the proposed four-layered framework for their app assessment.
Ključne besede: novel corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis
Objavljeno v RUNG: 02.04.2021; Ogledov: 3326; Prenosov: 0
Gradivo ima več datotek! Več... |
30. Technology applications for health safety decision making under COVID-19 pandemic managementRajan Gupta, Saibal K. Pal, Aayush Khattar, King Baliyan, 2020, objavljeni znanstveni prispevek na konferenci Opis: A lot of new technological applications are emerging to combat the deadly novel coronavirus. This research study gives an overview of different applications that are developed by Government Institutions, Private Firms, and Individual Citizens across the world. The applications are reviewed based on their widespread use, effectiveness, availability to the broader audience, cost to implement it, concerns regarding the privacy and information collected by these apps and systems. The major eight areas of technology applications covered in this study are Contact Tracing, Social Distancing & Mask Detection, Live-feeds based Dashboards, Information Searching, Big Data and Robotics, Web-based Disease Surveillance Tools, Patient-level Information, Doctor-Patient interaction, and Informatory Chatbots. More than 100 apps were collected for this research survey to conclude the
different categories in which technology is being used for decision making. This study will be useful for various health
administrators, professionals, researchers, and academicians.
Ključne besede: COVID-19, coronavirus, technology applications, contact tracing, social distancing, chatbots, data lakes
Objavljeno v RUNG: 02.04.2021; Ogledov: 4077; Prenosov: 84
Povezava na celotno besedilo
Gradivo ima več datotek! Več... |
