You are currently viewing a new version of our website. To view the old version click .

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
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (38)

  • Addendum
  • Open Access
2,145 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 [...]

  • Article
  • Open Access
2 Citations
2,920 Views
12 Pages

12 April 2021

Recent research shows recurrent neural network-Transducer (RNN-T) architecture has become a mainstream approach for streaming speech recognition. In this work, we investigate the VGG2 network as the input layer to the RNN-T in streaming speech recogn...

  • Article
  • Open Access
30 Citations
39,224 Views
21 Pages

Effects of COVID-19 Pandemic on University Students’ Learning

  • Galina Ilieva,
  • Tania Yankova,
  • Stanislava Klisarova-Belcheva and
  • Svetlana Ivanova

11 April 2021

The risk of COVID-19 in higher education has affected all its degrees and forms of training. To assess the impact of the pandemic on the learning of university students, a new reference framework for educational data processing was proposed. The fram...

  • Article
  • Open Access
9 Citations
3,238 Views
12 Pages

11 April 2021

Under the massive pedestrian flow, pedestrians arching phenomenon forms easily at bottleneck in subway hubs, which might stampede and crush. To explore pedestrian arching mechanism at bottleneck in subway transit hub, this paper conducts a series of...

  • Article
  • Open Access
12 Citations
4,660 Views
15 Pages

10 April 2021

Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models....

  • Review
  • Open Access
41 Citations
5,674 Views
16 Pages

10 April 2021

In automated driving, the user interface plays an essential role in guiding transitions between automated and manual driving. This literature review identified 25 studies that explicitly studied the effectiveness of user interfaces in automated drivi...

  • Article
  • Open Access
2,745 Views
16 Pages

9 April 2021

Counting the number of speakers in an audio sample can lead to innovative applications, such as a real-time ranking system. Researchers have studied advanced machine learning approaches for solving the speaker count problem. However, these solutions...

  • Article
  • Open Access
38 Citations
11,079 Views
22 Pages

9 April 2021

CNN is particularly effective in extracting spatial features. However, the single-layer classifier constructed by activation function in CNN is easily interfered by image noise, resulting in reduced classification accuracy. To solve the problem, the...

  • Article
  • Open Access
2 Citations
3,317 Views
22 Pages

Colvis—A Structured Annotation Acquisition System for Data Visualization

  • Pierre Vanhulst,
  • Raphaël Tuor,
  • Florian Évéquoz and
  • Denis Lalanne

9 April 2021

Annotations produced by analysts during the exploration of a data visualization are a precious source of knowledge. Harnessing this knowledge requires a thorough structure of annotations, but also a means to acquire them without harming user engageme...

  • Article
  • Open Access
2 Citations
5,428 Views
20 Pages

On Two-Stage Guessing

  • Robert Graczyk and
  • Igal Sason

9 April 2021

Stationary memoryless sources produce two correlated random sequences Xn and Yn. A guesser seeks to recover Xn in two stages, by first guessing Yn and then Xn. The contributions of this work are twofold: (1) We characterize the least achievable expon...

of 4

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Information - ISSN 2078-2489