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Technologies, Volume 10, Issue 2

2022 April - 17 articles

Cover Story: The detection and prevention of body-straining postures and other similar conditions within the work environment play a significant part in establishing occupational safety and well-being. We propose a deep-learning-based method for an online assessment of ergonomically suboptimal postures that impose increased physical strain on workers during work activities, using visual data acquired with low-cost sensors. The correlation and fusion of these estimations with time-synchronized worker heart rate data from wearable sensors have also been investigated with the aim of improving short-term forecasting of worker cardiovascular activity and ultimately training better predictive models for worker fatigue. A new multimodal dataset comprising video and heart rate data captured in a real manufacturing workplace is also introduced. View this paper.
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Articles (17)

  • Review
  • Open Access
12 Citations
6,746 Views
18 Pages

Free and open-source hardware (FOSH) development has been shown to increase innovation and reduce economic costs. This article reviews the opportunity to use FOSH as a sanction to undercut imports and exports from a target criminal country. A formal...

(This article belongs to the Special Issue 10th Anniversary of Technologies—Recent Advances and Perspectives)
  • Review
  • Open Access
27 Citations
10,467 Views
44 Pages

The commonly employed mathematical functions in constitutive models, such as the strain hardening/softening model, strain-rate hardening factor, and temperature-softening factor, are reviewed, and their prediction characteristics are illustrated. The...

  • Article
  • Open Access
12 Citations
4,962 Views
13 Pages

Rough-Set-Theory-Based Classification with Optimized k-Means Discretization

  • Teguh Handjojo Dwiputranto,
  • Noor Akhmad Setiawan and
  • Teguh Bharata Adji

The discretization of continuous attributes in a dataset is an essential step before the Rough-Set-Theory (RST)-based classification process is applied. There are many methods for discretization, but not many of them have linked the RST instruments f...

(This article belongs to the Special Issue Data Science and Big Data in Biology, Physical Science and Engineering)
  • Article
  • Open Access
7 Citations
6,081 Views
28 Pages

The NESTORE e-Coach: Designing a Multi-Domain Pathway to Well-Being in Older Age

  • Leonardo Angelini,
  • Mira El Kamali,
  • Elena Mugellini,
  • Omar Abou Khaled,
  • Christina Röcke,
  • Simone Porcelli,
  • Alfonso Mastropietro,
  • Giovanna Rizzo,
  • Noemi Boqué and
  • Giuseppe Andreoni
  • + 13 authors

This article describes the coaching strategies of the NESTORE e-coach, a virtual coach for promoting healthier lifestyles in older age. The novelty of the NESTORE project is the definition of a multi-domain personalized pathway where the e-coach acco...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Article
  • Open Access
5 Citations
4,075 Views
11 Pages

Vacuum UV (VUV) Photo-Oxidation of Polyethersulfone (PES)

  • Sarah Oakes,
  • Ryan Keeley,
  • Hunter Heineman,
  • Tom Allston,
  • Joel Shertok,
  • Michael Mehan,
  • Gregory K. Thompson and
  • Gerald A. Takacs

International need for water quality is placing a high demand on separation technology to develop advanced oxidative processes for polyethersulfone (PES) membranes to help improve water purification. Therefore, VUV photo-oxidation with a low pressure...

(This article belongs to the Section Environmental Technology)
  • Article
  • Open Access
10 Citations
4,712 Views
14 Pages

Robots are being increasingly used in the fight against highly-infectious diseases such as the Novel Coronavirus (SARS-CoV-2). By using robots in place of human health care workers in disinfection tasks, we can reduce the exposure of these workers to...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Article
  • Open Access
8 Citations
4,531 Views
18 Pages

Fall Detection Using Multi-Property Spatiotemporal Autoencoders in Maritime Environments

  • Iason Katsamenis,
  • Nikolaos Bakalos,
  • Eleni Eirini Karolou,
  • Anastasios Doulamis and
  • Nikolaos Doulamis

Man overboard is an emergency in which fast and efficient detection of the critical event is the key factor for the recovery of the victim. Its severity urges the utilization of intelligent video surveillance systems that monitor the ship’s per...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Article
  • Open Access
6 Citations
5,644 Views
18 Pages

Face-swap-attacks (FSAs) are a new threat to face recognition systems. FSAs are essentially imperceptible replay-attacks using an injection device and generative networks. By placing the device between the camera and computer device, attackers can pr...

(This article belongs to the Special Issue The Applications and Challenges of Cybersecurity in Science, Healthcare and Medicine)
  • Review
  • Open Access
27 Citations
10,811 Views
31 Pages

Material Design for Enhancing Properties of 3D Printed Polymer Composites for Target Applications

  • Vinita V. Shinde,
  • Yuyang Wang,
  • Md Fahim Salek,
  • Maria L. Auad,
  • Lauren E. Beckingham and
  • Bryan S. Beckingham

Polymer composites are becoming an important class of materials for a diversified range of industrial applications due to their unique characteristics and natural and synthetic reinforcements. Traditional methods of polymer composite fabrication requ...

(This article belongs to the Special Issue 3D Printing and Additive Manufacturing: Principles and Applications)
  • Article
  • Open Access
3,604 Views
8 Pages

Negotiating Learning Goals with Your Future Learning-Self

  • Konstantinos Tsiakas,
  • Deborah Cnossen,
  • Timothy H. C. Muyrers,
  • Danique R. C. Stappers,
  • Romain H. A. Toebosch and
  • Emilia I. Barakova

This paper discusses the challenges towards designing an educational avatar which visualizes the future learning-self of a student in order to promote their self-regulated learning skills. More specifically, the avatar follows a negotiation-based int...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Review
  • Open Access
19 Citations
9,129 Views
13 Pages

A Survey on GAN-Based Data Augmentation for Hand Pose Estimation Problem

  • Farnaz Farahanipad,
  • Mohammad Rezaei,
  • Mohammad Sadegh Nasr,
  • Farhad Kamangar and
  • Vassilis Athitsos

Deep learning solutions for hand pose estimation are now very reliant on comprehensive datasets covering diverse camera perspectives, lighting conditions, shapes, and pose variations. While acquiring such datasets is a challenging task, several studi...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Article
  • Open Access
23 Citations
9,451 Views
30 Pages

Detection of Physical Strain and Fatigue in Industrial Environments Using Visual and Non-Visual Low-Cost Sensors

  • Konstantinos Papoutsakis,
  • George Papadopoulos,
  • Michail Maniadakis,
  • Thodoris Papadopoulos,
  • Manolis Lourakis,
  • Maria Pateraki and
  • Iraklis Varlamis

The detection and prevention of workers’ body straining postures and other stressing conditions within the work environment, supports establishing occupational safety and promoting well being and sustainability at work. Developed methods toward...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Article
  • Open Access
10 Citations
8,004 Views
18 Pages

MINA: A Robotic Assistant for Hospital Fetching Tasks

  • Harish Ram Nambiappan,
  • Stephanie Arevalo Arboleda,
  • Cody Lee Lundberg,
  • Maria Kyrarini,
  • Fillia Makedon and
  • Nicholas Gans

In this paper, a robotic Multitasking Intelligent Nurse Aid (MINA) is proposed to assist nurses with everyday object fetching tasks. MINA consists of a manipulator arm on an omni-directional mobile base. Before the operation, an augmented reality int...

(This article belongs to the Collection Selected Papers from the PETRA Conference Series)
  • Article
  • Open Access
9 Citations
4,948 Views
18 Pages

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

  • Amritha Kodakkal,
  • Rajagopal Veramalla,
  • Narasimha Raju Kuthuri and
  • Surender Reddy Salkuti

The use of renewable energy sources is the need of the hour, but the highly intermittent nature of the wind and solar energies demands an efficient controller be connected with the system. This paper proposes an adept control algorithm for an isolate...

(This article belongs to the Special Issue 10th Anniversary of Technologies—Recent Advances and Perspectives)
  • Article
  • Open Access
3 Citations
3,847 Views
14 Pages

A Switched Capacitor Memristor Emulator Using Stochastic Computing

  • Carola de Benito,
  • Oscar Camps,
  • Mohamad Moner Al Chawa,
  • Stavros G. Stavrinides and
  • Rodrigo Picos

Due to the increased use of memristors and their many applications, the use of emulators has grown in parallel to avoid some of the difficulties presented by real devices, such as variability and reliability. In this paper, we present a memristive em...

(This article belongs to the Special Issue MOCAST 2021)
  • Article
  • Open Access
1 Citations
5,515 Views
12 Pages

Parasitic Coupling in 3D Sequential Integration: The Example of a Two-Layer 3D Pixel

  • Petros Sideris,
  • Arnaud Peizerat,
  • Perrine Batude,
  • Gilles Sicard and
  • Christoforos Theodorou

In this paper, we present a thorough analysis of parasitic coupling effects between different electrodes for a 3D Sequential Integration circuit example comprising stacked devices. More specifically, this study is performed for a Back-Side Illuminate...

(This article belongs to the Special Issue MOCAST 2021)
  • Article
  • Open Access
30 Citations
7,122 Views
13 Pages

Lightweight Neural Network for COVID-19 Detection from Chest X-ray Images Implemented on an Embedded System

  • Theodora Sanida,
  • Argyrios Sideris,
  • Dimitris Tsiktsiris and
  • Minas Dasygenis

At the end of 2019, a severe public health threat named coronavirus disease (COVID-19) spread rapidly worldwide. After two years, this coronavirus still spreads at a fast rate. Due to its rapid spread, the immediate and rapid diagnosis of COVID-19 is...

(This article belongs to the Special Issue MOCAST 2021)
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Technologies - ISSN 2227-7080