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Information, Volume 12, Issue 4

April 2021 - 38 articles

Cover Story: With the heterogeneous nature of an IoT system, the number of active devices, the number of resources consumed at a given time, and the task duration will always change to adapt to the environment. Due to this problem, it is difficult to choose a single scheduling algorithm because of the trade-off between creating an optimized scheduler and the computation time required. Our approach utilizes multiple scheduling algorithms via switching to achieve pseudo-dynamic scheduler optimization that reacts with the computation deadline. Our solution relies on multi-task learning to identify the suitable scheduling algorithm based on the parameters given and a fallback scheduling algorithm as a failsafe to meet the computation deadline. View this paper
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Articles (38)

  • Editorial
  • Open Access
2,049 Views
2 Pages

20 April 2021

Fault Trees are well-known models for the reliability analysis of systems, used to compute several kinds of qualitative and quantitative measures, such as minimal cut-sets, system failure probability, sensitivity (importance) indices, etc [...]

  • Article
  • Open Access
33 Citations
6,483 Views
21 Pages

20 April 2021

Motion sickness (MS) is a syndrome associated with symptoms like nausea, dizziness, and other forms of physical discomfort. Automated vehicles (AVs) are potent at inducing MS because users are not adapted to this novel form of transportation, are pro...

  • Article
  • Open Access
8 Citations
3,659 Views
12 Pages

19 April 2021

(1) Background: The aim of this study is to describe manager–employee and employee–employee relations during the COVID-19 pandemic and their impact on measures of the likely use of elements of remote teaching by university employees in the future. (2...

  • Article
  • Open Access
11 Citations
6,420 Views
10 Pages

16 April 2021

Introduction. Are viewers of video-on-demand (VoD) services more intrinsically (i.e., preferentially self-determined) or extrinsically (i.e., externally determined) motivated when selecting movies and series? For extrinsic motivation, we distinguish...

  • Article
  • Open Access
69 Citations
6,984 Views
18 Pages

16 April 2021

With the propagation of cyberbullying in social networks as a trending subject, cyberbullying detection has become a social problem that researchers are concerned about. Developing intelligent models and systems helps detect cyberbullying automatical...

  • Article
  • Open Access
4 Citations
3,060 Views
15 Pages

16 April 2021

Academic text recommendation, as a kind of text recommendation, has a wide range of application prospects. Predicting texts of interest to scholars in different fields based on anonymous sessions is a challenging problem. However, the existing sessio...

  • Article
  • Open Access
3 Citations
4,102 Views
18 Pages

15 April 2021

Sampling is an important step in the machine learning process because it prioritizes samples that help the model best summarize the important concepts required for the task at hand. The process of determining the best sampling method has been rarely...

  • Article
  • Open Access
16 Citations
4,639 Views
30 Pages

Diagnostic of Data Processing by Brazilian Organizations—A Low Compliance Issue

  • Sâmmara Éllen Renner Ferrão,
  • Artur Potiguara Carvalho,
  • Edna Dias Canedo,
  • Alana Paula Barbosa Mota,
  • Pedro Henrique Teixeira Costa and
  • Anderson Jefferson Cerqueira

14 April 2021

In order to guarantee the privacy of users’ data, the Brazilian government created the Brazilian General Data Protection Law (LGPD). This article made a diagnostic of Brazilian organizations in relation to their suitability for LGPD, based on the per...

  • Article
  • Open Access
4 Citations
3,304 Views
18 Pages

14 April 2021

Ensuring the security of IoT devices and chips at runtime has become an urgent task as they have been widely used in human life. Embedded memories are vital components of SoC (System on Chip) in these devices. If they are attacked or incur faults at...

  • Addendum
  • Open Access
2,143 Views
1 Page

Addendum: Dumouchel, S., et al. GOTRIPLE: A User-Centric Process to Develop a Discovery Platform. Information 2020, 11, 563

  • Suzanne Dumouchel,
  • Emilie Blotière,
  • Gert Breitfuss,
  • Yin Chen,
  • Francesca Di Donato,
  • Maria Eskevich,
  • Paula Forbes,
  • Haris Georgiadis,
  • Arnaud Gingold and
  • Elisa Gorgaini
  • + 5 authors

13 April 2021

The authors would like to add the following reference to the “Reference” section of their paper [...]

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Information - ISSN 2078-2489