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Computers, Volume 7, Issue 4

December 2018 - 25 articles

Cover Story: In this work, we compare the exergaming experience of young and old individuals under four difficulty adjustment methods. Studies frequently use exergames to improve individuals’ physical functions and reduce the likelihood of noncommunicable diseases. While task difficulty optimization is crucial to the exergame design, research has consistently overlooked the effects of age-related factors on the preferred difficulty adjustment methods. We compared the exergaming experience of young and old individuals under constant, ramping, performance-based, and biofeedback-based difficulty adjustments. Our results correlate well with previous work and support the role of dynamic difficulty adjustments. Further investigation revealed that old individuals are also likely to experience flow under ramping difficulty adjustments, whereas performance-based adjustments were only feasible for young individuals. View Paper here.
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Articles (25)

  • Article
  • Open Access
2 Citations
6,597 Views
25 Pages

Profiling Director’s Style Based on Camera Positioning Using Fuzzy Logic

  • Hartarto Junaedi,
  • Mochamad Hariadi and
  • I Ketut Eddy Purnama

14 November 2018

Machinima is a computer imaging technology typically used in games and animation. It prints all movie cast properties into a virtual environment by means of a camera positioning. Since cinematography is complementary to Machinima, it is possible to s...

  • Article
  • Open Access
7 Citations
6,473 Views
12 Pages

Model Structure Optimization for Fuel Cell Polarization Curves

  • Markku Ohenoja,
  • Aki Sorsa and
  • Kauko Leiviskä

9 November 2018

The applications of evolutionary optimizers such as genetic algorithms, differential evolution, and various swarm optimizers to the parameter estimation of the fuel cell polarization curve models have increased. This study takes a novel approach on u...

  • Article
  • Open Access
9 Citations
8,437 Views
20 Pages

Exergame Experience of Young and Old Individuals Under Different Difficulty Adjustment Methods

  • Oral Kaplan,
  • Goshiro Yamamoto,
  • Takafumi Taketomi,
  • Alexander Plopski,
  • Christian Sandor and
  • Hirokazu Kato

7 November 2018

In this work, we compare the exergaming experience of young and old individuals under four difficulty adjustment methods. Physical inactivity is a leading cause of numerous health conditions including heart diseases, diabetes, cancer, and reduced lif...

  • Article
  • Open Access
127 Citations
10,801 Views
18 Pages

A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification

  • Jingwei Too,
  • Abdul Rahim Abdullah,
  • Norhashimah Mohd Saad,
  • Nursabillilah Mohd Ali and
  • Weihown Tee

5 November 2018

Features extracted from the electromyography (EMG) signal normally consist of irrelevant and redundant features. Conventionally, feature selection is an effective way to evaluate the most informative features, which contributes to performance enhance...

  • Article
  • Open Access
6 Citations
5,716 Views
31 Pages

31 October 2018

This paper proposes a novel framework for solving the portfolio selection problem. This framework is excogitated using two newly parameters obtained from an existing basic mean variance model. The scheme can prove entirely advantageous for decision-m...

  • Article
  • Open Access
3 Citations
6,067 Views
19 Pages

29 October 2018

In this paper, we propose an advanced implementation of Path ORAM to hide the access pattern to outsourced data into the cloud. This implementation takes advantage of eventual data locality and popularity by introducing a small amount of extra storag...

  • Article
  • Open Access
19 Citations
14,170 Views
20 Pages

Deploying CPU-Intensive Applications on MEC in NFV Systems: The Immersive Video Use Case

  • Giorgio Cattaneo,
  • Fabio Giust,
  • Claudio Meani,
  • Daniele Munaretto and
  • Pietro Paglierani

26 October 2018

Multi-access Edge Computing (MEC) will be a technology pillar of forthcoming 5G networks. Nonetheless, there is a great interest in also deploying MEC solutions in current 4G infrastructures. MEC enables data processing in proximity to end users. Thu...

  • Article
  • Open Access
37 Citations
7,299 Views
14 Pages

21 October 2018

Due to their large sizes and/or dimensions, the classification of Big Data is a challenging task using traditional machine learning, particularly if it is carried out using the well-known K-nearest neighbors classifier (KNN) classifier, which is a sl...

  • Feature Paper
  • Article
  • Open Access
6,365 Views
36 Pages

Automatic Configurable Hardware Code Generation for Software-Defined Radios

  • Lekhobola Tsoeunyane,
  • Simon Winberg and
  • Michael Inggs

19 October 2018

The development of software-defined radio (SDR) systems using field-programmable gate arrays (FPGAs) compels designers to reuse pre-existing Intellectual Property (IP) cores in order to meet time-to-market and design efficiency requirements. However,...

  • Article
  • Open Access
4 Citations
5,767 Views
34 Pages

11 October 2018

Systems for application domains like robotics, aerospace, defense, autonomous vehicles, etc. are usually developed on System-on-Programmable Chip (SoPC) platforms, capable of supporting several multi-modal computation-intensive tasks on their FPGAs....

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Computers - ISSN 2073-431X