scholarly journals Corrigendum for the paper: A Multi-Layered Image Format for the Web with an Adaptive Layer Selection Algorithm

2018 ◽  
Vol 15 (3) ◽  
pp. 371-371
Author(s):  
E Editorial
Keyword(s):  
Electrical Engineering ◽  
Scientific Conference ◽  
Selection Algorithm ◽  
Related Research ◽  
Image Format ◽  
Font Color ◽  
The Web

Editor-in-Chief of Serbian Journal of Electrical Engineering1 requests to correct the first page of the paper A Multi-Layered Image Format for the Web with an Adaptive Layer Selection Algorithm by Milan Tair, Aleksandar Mihajlovic, Nikola Savanovic, Marko Sarac published in the Serbian journal of Electrical Engineering, Vol. 14, No. 2, June 2017, pp. 177 - 197, DOI: https://doi.org/10.2298/SJEE161010001T, since the text is missing in the footnote. The missing text is: An earlier version of this paper was presented at the International Scientific Conference on ICT AND E-Business Related Research, SINTEZA 2016, April 22, 2016 at Singidunum University in Belgrade, Serbia. <br><br><font color="red"><b> Link to the corrected article <u><a href="http://dx.doi.org/10.2298/SJEE161010001T">10.2298/SJEE161010001T</a></b></u>

scholarly journals A multi-layered image format for the web with an adaptive layer selection algorithm

2017 ◽  
Vol 14 (2) ◽  
pp. 177-197
Author(s):  
Milan Tair ◽  
Aleksandar Mihajlovic ◽  
Nikola Savanovic ◽  
Marko Sarac
Keyword(s):  
Weighted Average ◽  
Threshold Values ◽  
Selection Algorithm ◽  
Multiple Image ◽  
Average Brightness ◽  
Activation Conditions ◽  
Image Format ◽  
Background Brightness ◽  
Font Color ◽  
The Web

In this paper we present a proposed multi-layered image format for use on the web. The format implements an algorithm for selecting adequate layer images depending on the image container's surroundings and size. The layer selection depends on the weighted average brightness of the underlying web page background within the bounds of the image. The proposed image format supports multiple image layers with adjoined thresholds and activation conditions. Depending on these conditions and the underlying background, a layer's visibility will be adequately set. The selection algorithm takes into account the background brightness, each layer's adjoined threshold values, and other newly introduced layer conditions. <br><br><font color="red"><b> This article has been corrected. Link to the correction <u><a href="http://dx.doi.org/10.2298/SJEE1803371E">10.2298/SJEE1803371E</a><u></b></font>

scholarly journals Principles and software realization of a multimedia course on theoretical electrical engineering based on enterprise technology

2003 ◽  
Vol 1 (1) ◽  
pp. 81-87
Author(s):  
Krasimir Penev ◽  
Kostadin Brandisky
Keyword(s):  
Web Site ◽  
Electrical Engineering ◽  
Circuit Theory ◽  
Site Structure ◽  
The Core ◽  
Multimedia Teaching ◽  
Enterprise Technology ◽  
The Subject ◽  
Teaching Modules ◽  
The Web

The Department of Theoretical Electrical Engineering (TEE) of Technical University of Sofia has been developing interactive enterprise-technologies based course on Theoretical Electrical Engineering. One side of the project is the development of multimedia teaching modules for the core undergraduate electrical engineering courses (Circuit Theory and Electromagnetic Fields) and the other side is the development of Software Architecture of the web site on which modules are deployed. Initial efforts have been directed at the development of multimedia modules for the subject Electrical Circuits and on developing the web site structure. The objective is to develop teaching materials that will enhance lectures and laboratory exercises and will allow computerized examinations on the subject. This article outlines the framework used to develop the web site structure, the Circuit Theory teaching modules, and the strategy of their use as teaching tool.

scholarly journals Sistem Pemantauan Ruangan Laboratorium Dengan Raspberry Pi Camera

ELECTRICES ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 11-16
Author(s):  
Donalson Libertin
Keyword(s):  
Video Streaming ◽  
Monitoring System ◽  
Electrical Engineering ◽  
Raspberry Pi ◽  
Actual Situation ◽  
Web Based ◽  
Google Drive ◽  
The Web

In the Electrical Engineering Laboratory 2nd Floor room, there is a variety of equipment, but the equipment is often lost. So the room needed a monitoring system to see the activity in the room to minimize theft. The purpose of this study is to design a monitoring system using Raspberry Pi Zero W as a link between the Raspberry Pi Camera and the admin. Room conditions can be monitored online and in realtime on the Web. Based on the results of testing video streaming displayed on the Web, there is a delay of 3-4 seconds so that the image moves slower than the actual situation. This device can send a notification of the condition of the room and pictures at 12: 00-13: 00 when there is movement or someone doing activities in the room. Data is sent via email and google drive @sctolipnj.

scholarly journals Tensions Within the Ministry of Provenance: Reflections on Co-Creating a Research Game Together With Artists

2018 ◽  
Vol 50 (3) ◽  
pp. 329-358 ◽  
Author(s):  
Richard Wetzel ◽  
Khaled Bachour ◽  
Martin Flintham
Keyword(s):  
Game Design ◽  
Collaborative Research ◽  
Research Agenda ◽  
High Impact ◽  
Mitigation Strategies ◽  
Web Based ◽  
Related Research ◽  
Artistic Vision ◽  
Research Questions ◽  
The Web

Background. Research games are challenging to design as they seek to fulfil a research agenda as well as work as a game. We have successfully collaborated with a group of artists in a research game about people’s perception of provenance called The Apocalypse of the Ministry of Provenance (MoP). The web-based game ran for 6 months with a total of 1004 players signing up over its lifetime with 490 consenting to their data being used for research purposes. While the game allowed us to answer our provenance-related research questions, in this article we look at the game design process of such a collaborative research game. Aim. The co-creation approach created tensions that had to be carefully negotiated between everyone involved. The purpose of this article is to investigate the nature of these tensions, what has caused them, and how we managed (or failed) to mitigate them. This leads to recommendations for future researchers co-creating a research game with artists. Method. We use the form of a post-mortem reflection on the development of the game, based on our own experiences, a one-hour long interview with the two artists involved, and post-game phone interviews with players (n=8). Results. We identify the following three tensions that had a high impact on the overall process: 1) Translating research questions into engaging gameplay elements; 2) Creation of research-relevant content by artists; 3) Artistic vision conflicting with research agenda. We contextualize these tensions by describing six vignettes concerning our collaboration in rich detail that highlight the salient issues of the overall process and resulting game from different perspectives. Lastly, we present seven mitigation strategies on how to deal with the tensions or prevent them from arising. Conclusions. A collaboration with artists for the purpose of creating a research game is a rewarding but also challenging process. Overcoming the resulting tensions is possible by utilizing mitigation strategies that need to be implemented jointly between researchers and artists to guarantee the success as an engaging research game.

scholarly journals COVID-19 research in Wikipedia

2020 ◽  
Vol 1 (4) ◽  
pp. 1349-1380
Author(s):  
Giovanni Colavizza
Keyword(s):  
Social Media ◽  
Scientific Literature ◽  
Regression Analyses ◽  
Related Research ◽  
Fast Pace ◽  
Scientific Results ◽  
New Research ◽  
The Web ◽  
Highly Cited

Wikipedia is one of the main sources of free knowledge on the Web. During the first few months of the pandemic, over 5,200 new Wikipedia pages on COVID-19 were created, accumulating over 400 million page views by mid-June 2020. 1 At the same time, an unprecedented amount of scientific articles on COVID-19 and the ongoing pandemic have been published online. Wikipedia’s content is based on reliable sources, such as scientific literature. Given its public function, it is crucial for Wikipedia to rely on representative and reliable scientific results, especially in a time of crisis. We assess the coverage of COVID-19-related research in Wikipedia via citations to a corpus of over 160,000 articles. We find that Wikipedia editors are integrating new research at a fast pace, and have cited close to 2% of the COVID-19 literature under consideration. While doing so, they are able to provide a representative coverage of COVID-19-related research. We show that all the main topics discussed in this literature are proportionally represented from Wikipedia, after accounting for article-level effects. We further use regression analyses to model citations from Wikipedia and show that Wikipedia editors on average rely on literature that is highly cited, widely shared on social media, and peer-reviewed.

scholarly journals Wiki-Gendersort: Automatic gender detection using first names in Wikipedia

2020 ◽  
Author(s):  
Nicolas Bérubé ◽  
Gita Ghiasi ◽  
Maxime Sainte-Marie ◽  
Vincent Larivière
Keyword(s):  
Web Of Science ◽  
Detection Algorithm ◽  
Detection Methods ◽  
Related Research ◽  
Gender Information ◽  
Research Questions ◽  
Gender Detection ◽  
The Web

Gender information is often absent from databases available to scholars, thus hindering the proper problematization, investigation, and answering of various gender-related research questions. Named-based algorithms represent the most simple, yet effective used gender detection methods: such methods proceed by generating first-name-to-gender mapping tables based on user records in a given dataset and then applying such mapping tables "in reversal" to other databases for completion or validation purposes. The present research aims to develop a gender detection algorithm focusing on the gender detection of eponymous Wikipedia pages and compare its performance to that of other well-known gender detection databases, using the author names indexed in the Web of Science.

scholarly journals Retraction notice to: Influence of external disturbances to dynamic balance of the semi-anthropomimetic robot [Serb. Jour. of elect. Eng., Vol. 11, no. 1, feb. 2014, pp. 145-158]

2016 ◽  
Vol 13 (3) ◽  
pp. 435-435
Author(s):  
E Editorial
Keyword(s):  
Dynamic Balance ◽  
Electrical Engineering ◽  
External Disturbances ◽  
Technical Errors ◽  
Retracted Article ◽  
Retraction Notice ◽  
Font Color

Due to technical errors the article entitled ?Influence of External Disturbances to Dynamic Balance of the Semi-Anthropomimetic Robot?, by authors Vladimir M. Petrovic, Kosta Jovanovic, Veljko Potkonjak, published in Serbian journal of Electrical Engineering, Vol. 11, No. 1, February 2014, pp. 145-158, has been retracted from the Journal. <br><br><font color="red"><b> Link to the retracted article <u><a href="http://dx.doi.org/10.2298/SJEE131014013P">10.2298/SJEE131014013P</a></b></u>

scholarly journals COVID-19 research in Wikipedia

2020 ◽  
Author(s):  
Giovanni Colavizza
Keyword(s):  
Social Media ◽  
Scientific Literature ◽  
Regression Analyses ◽  
Related Research ◽  
Fast Pace ◽  
Scientific Results ◽  
New Research ◽  
The Web ◽  
Highly Cited

AbstractWikipedia is one of the main sources of free knowledge on the Web. During the first few months of the pandemic, over 5,200 new Wikipedia pages on COVID-19 have been created and have accumulated over 400M pageviews by mid June 2020.1 At the same time, an unprecedented amount of scientific articles on COVID-19 and the ongoing pandemic have been published online. Wikipedia’s contents are based on reliable sources such as scientific literature. Given its public function, it is crucial for Wikipedia to rely on representative and reliable scientific results, especially so in a time of crisis. We assess the coverage of COVID-19-related research in Wikipedia via citations to a corpus of over 160,000 articles. We find that Wikipedia editors are integrating new research at a fast pace, and have cited close to 2% of the COVID-19 literature under consideration. While doing so, they are able to provide a representative coverage of COVID-19-related research. We show that all the main topics discussed in this literature are proportionally represented from Wikipedia, after accounting for article-level effects. We further use regression analyses to model citations from Wikipedia and show that Wikipedia editors on average rely on literature which is highly cited, widely shared on social media, and has been peer-reviewed.

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