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Informatics, Volume 8, Issue 4

December 2021 - 26 articles

Cover Story: In humanoid robotics, eyes are commonly made from glass or acrylic, making them appear cold and lifeless. The novel robotic eyes presented in this study are the first to have pupils that respond to both light and emotion using machine learning and an artificial muscle made from graphene. The artificial muscle is coated in a colourised 3D printed gelatine iris to simulate the materiality and appearance of the human eye. The robotic eyes were trained using pupillometry data taken from human test subjects when observing positive and negative video stimulus and high and low light. The results show that the robotic eyes are capable of operating within the natural range of human pupils in response to light and emotion. View this paper.
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Articles (26)

  • Article
  • Open Access
5 Citations
6,612 Views
21 Pages

Useful information can be provided by 2.5D maps that can take advantage of the additional dimension. However, aside from stereoscopic landmarks, optimal methods for presenting other essential information is unclear. Two experiments were conducted to...

  • Concept Paper
  • Open Access
2 Citations
4,077 Views
17 Pages

The evolution of technology in clinical environments increases the level of precision in patient care, as well as optimizes the management of healthcare centers. However, the need to have information systems that are more sophisticated and require in...

  • Article
  • Open Access
2 Citations
3,301 Views
24 Pages

Searching Deterministic Chaotic Properties in System-Wide Vulnerability Datasets

  • Ioannis Tsantilis,
  • Thomas K. Dasaklis,
  • Christos Douligeris and
  • Constantinos Patsakis

Cybersecurity is a never-ending battle against attackers, who try to identify and exploit misconfigurations and software vulnerabilities before being patched. In this ongoing conflict, it is important to analyse the properties of the vulnerability ti...

  • Feature Paper
  • Article
  • Open Access
3 Citations
4,237 Views
15 Pages

In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control. The dataset is the Blizzard 2013 dataset based on audiobooks read by a female speaker containing a great variability in styles and...

  • Feature Paper
  • Article
  • Open Access
25 Citations
7,051 Views
16 Pages

Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction

  • Lucas Costa Brito,
  • Gian Antonio Susto,
  • Jorge Nei Brito and
  • Marcus Antonio Viana Duarte

The monitoring of rotating machinery is an essential activity for asset management today. Due to the large amount of monitored equipment, analyzing all the collected signals/features becomes an arduous task, leading the specialist to rely often on ge...

  • Article
  • Open Access
68 Citations
29,135 Views
21 Pages

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

  • Rana Saeed Al-Maroof,
  • Noha Alnazzawi,
  • Iman A. Akour,
  • Kevin Ayoubi,
  • Khadija Alhumaid,
  • Nafla Mahdi AlAhbabi,
  • Maryam Alnnaimi,
  • Sarah Thabit,
  • Raghad Alfaisal and
  • Ahmad Aburayya
  • + 1 author

The purpose of this study is to investigate students’ intention to continue using online learning platforms during face-to-face traditional classes in a way that is parallel to their usage during online virtual classes (during the pandemic). Th...

  • Article
  • Open Access
4 Citations
3,859 Views
14 Pages

Metadata Schema for Folktales in the Mekong River Basin

  • Kanyarat Kwiecien,
  • Wirapong Chansanam,
  • Thepchai Supnithi,
  • Jaturong Chitiyaphol and
  • Kulthida Tuamsuk

The aim of this study was to analyze the content, context, and structure of folktales from the Mekong River Basin, and to develop a metadata schema for data description and folktale storage. The research was conducted using the MAAT metadata lifecycl...

  • Article
  • Open Access
51 Citations
17,949 Views
22 Pages

Inefficient and ineffective practices in the construction industry have hindered productivity even though it is considered as one of the largest sectors in any county. One best solution to overcome these inherent problems in the construction industry...

  • Article
  • Open Access
37 Citations
22,726 Views
19 Pages

The Role of Social Media in Raising Public Health Awareness during the Pandemic COVID-19: An International Comparative Study

  • Mohammad Yousef Abuhashesh,
  • Hani Al-Dmour,
  • Ra’ed Masa’deh,
  • Amer Salman,
  • Rand Al-Dmour,
  • Monika Boguszewicz-Kreft and
  • Qout Nidal AlAmaireh

The main objective of this research is to investigate the role of social media campaigns (the type of social media platform, type of message, and message source sender) in raising public health awareness and behavioral change during (COVID-19) as a g...

  • Article
  • Open Access
37 Citations
7,460 Views
12 Pages

Literature Review of Deep Network Compression

  • Ali Alqahtani,
  • Xianghua Xie and
  • Mark W. Jones

Deep networks often possess a vast number of parameters, and their significant redundancy in parameterization has become a widely-recognized property. This presents significant challenges and restricts many deep learning applications, making the focu...

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Informatics - ISSN 2227-9709