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Computers, Volume 10, Issue 3

March 2021 - 14 articles

Cover Story: Adaptivity is the ability of the system to change its behavior whenever it does not achieve system requirements. Self-adaptive software systems (SASS) are considered a milestone in software development in many modern complex scientific and engineering fields. Employing self-adaptation in a system can accomplish better functionality or performance; however, it may lead to uncertainty. The uncertainty that results from using SASS needs to be tackled from different perspectives. The goal of this work is to highlight more details about SASS, describe all possible sources of uncertainty, and illustrate its effect on the ability of the system to fulfill its objectives. In addition, we present IoT as a case study to define uncertainty at different layers of the IoT stack. View this paper
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Articles (14)

  • Article
  • Open Access
6 Citations
4,932 Views
19 Pages

In this paper, we propose a new data-driven framework for 3D hand and full-body motion emotion transfer. Specifically, we formulate the motion synthesis task as an image-to-image translation problem. By presenting a motion sequence as an image repres...

  • Article
  • Open Access
15 Citations
4,417 Views
18 Pages

Enhancing Software Feature Extraction Results Using Sentiment Analysis to Aid Requirements Reuse

  • Indra Kharisma Raharjana,
  • Via Aprillya,
  • Badrus Zaman,
  • Army Justitia and
  • Shukor Sanim Mohd Fauzi

Recently, feature extraction from user reviews has been used for requirements reuse to improve the software development process. However, research has yet to use sentiment analysis in the extraction for it to be well understood. The aim of this study...

  • Article
  • Open Access
1 Citations
3,543 Views
24 Pages

A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques

  • Gilberto Ayala-Bastidas,
  • Hector G. Ceballos and
  • Francisco J. Cantu-Ortiz

The impact of the strategies that researchers follow to publish or produce scientific content can have a long-term impact. Identifying which strategies are most influential in the future has been attracting increasing attention in the literature. In...

  • Article
  • Open Access
38 Citations
5,737 Views
20 Pages

The aim of this research study is to detect emotional state by processing electroencephalography (EEG) signals and test effect of meditation music therapy to stabilize mental state. This study is useful to identify 12 subtle emotions angry (annoying,...

  • Article
  • Open Access
4 Citations
3,562 Views
31 Pages

Structural health monitoring (SHM) is a promising technique for in-service inspection of technical structures in a broad field of applications in order to reduce maintenance efforts as well as the overall structural weight. SHM is basically an invers...

  • Article
  • Open Access
2 Citations
3,126 Views
30 Pages

A Geometric Approach to Noisy EDM Resolution in FTM Measurements

  • Jerome Henry,
  • Nicolas Montavont,
  • Yann Busnel,
  • Romaric Ludinard and
  • Ivan Hrasko

Metric Multidimensional Scaling is commonly used to solve multi-sensor location problems in 2D or 3D spaces. In this paper, we show that such technique provides poor results in the case of indoor location problems based on 802.11 Fine Timing Measurem...

  • Article
  • Open Access
3 Citations
3,240 Views
31 Pages

Monitoring the development of infectious diseases is of great importance for the prevention of major outbreaks. Syndromic surveillance aims at developing algorithms which can detect outbreaks as early as possible by monitoring data sources which allo...

  • Article
  • Open Access
23 Citations
4,627 Views
14 Pages

Precisely assessing the severity of persons with COVID-19 at an early stage is an effective way to increase the survival rate of patients. Based on the initial screening, to identify and triage the people at highest risk of complications that can res...

  • Article
  • Open Access
14 Citations
4,544 Views
28 Pages

Fractional-Order Edge Detection Masks for Diabetic Retinopathy Diagnosis as a Case Study

  • Samar M. Ismail,
  • Lobna A. Said,
  • Ahmed H. Madian and
  • Ahmed G. Radwan

Edge detection is one of the main steps in the image processing field, especially in biomedical imaging, to diagnose a disease or trace its progress. The transfer of medical images makes them more susceptible to quality degradation due to any imposed...

  • Article
  • Open Access
1 Citations
4,427 Views
14 Pages

There is always an increasing demand for data storage and transfer; therefore, data compression will always be a fundamental need. In this article, we propose a lossless data compression method focused on a particular kind of data, namely, chat messa...

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Computers - ISSN 2073-431X