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Computers, Volume 11, Issue 7

July 2022 - 16 articles

Cover Story: Many applications in the Internet of Things require a dense RFID network for efficient deployment and coverage, which causes interference between tags and readers and reduces the performance of the system. Therefore, communication resource management is required to avoid such problems. In this paper, we propose an anti‐collision protocol based on feed‐forward Artificial Neural Network methodology for distributed learning between RFID readers to predict collisions and ensure efficient resource allocation (DMLAR) by considering the mobility of tags and readers. The evaluation of our anti‐collision protocol is performed for healthcare where the collected data are critical and must respect the terms of throughput, delay, overload, integrity and energy. View this paper
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Articles (16)

  • Article
  • Open Access
3 Citations
3,654 Views
17 Pages

Implementation of a Programmable Electronic Load for Equipment Testing

  • León Felipe Serna-Motoya,
  • José R. Ortiz-Castrillón,
  • Paula Andrea Gil-Vargas,
  • Nicolás Muñoz-Galeano,
  • Juan Bernardo Cano-Quintero and
  • Jesús M. López-Lezama

This paper presents the implementation of an AC three-phase programmable electronic load (PEL) that emulates load profiles and can be used for testing equipment in microgrids (MGs). The implemented PEL topology is built with a voltage source inverter...

  • Article
  • Open Access
3 Citations
2,766 Views
19 Pages

The problem regarding the optimal location and sizing of fixed-step capacitor banks in distribution networks with radial configuration is studied in this research by applying a two-stage optimization approach. The first stage consists of determining...

  • Article
  • Open Access
25 Citations
7,594 Views
17 Pages

Comparison of On-Policy Deep Reinforcement Learning A2C with Off-Policy DQN in Irrigation Optimization: A Case Study at a Site in Portugal

  • Khadijeh Alibabaei,
  • Pedro D. Gaspar,
  • Eduardo Assunção,
  • Saeid Alirezazadeh,
  • Tânia M. Lima,
  • Vasco N. G. J. Soares and
  • João M. L. P. Caldeira

Precision irrigation and optimization of water use have become essential factors in agriculture because water is critical for crop growth. The proper management of an irrigation system should enable the farmer to use water efficiently to increase pro...

  • Article
  • Open Access
7 Citations
3,865 Views
13 Pages

Deploying Serious Games for Cognitive Rehabilitation

  • Damiano Perri,
  • Marco Simonetti and
  • Osvaldo Gervasi

The telerehabilitation of patients with neurological lesions has recently assumed significant importance due to the COVID-19 pandemic, which has reduced the possibility of access to healthcare facilities by patients. Therefore, the possibility of exe...

  • Article
  • Open Access
84 Citations
10,567 Views
24 Pages

Meta Deep Learn Leaf Disease Identification Model for Cotton Crop

  • Muhammad Suleman Memon,
  • Pardeep Kumar and
  • Rizwan Iqbal

Agriculture is essential to the growth of every country. Cotton and other major crops fall into the cash crops. Cotton is affected by most of the diseases that cause significant crop damage. Many diseases affect yield through the leaf. Detecting dise...

  • Article
  • Open Access
6 Citations
2,911 Views
24 Pages

Learning-Oriented QoS- and Drop-Aware Task Scheduling for Mixed-Criticality Systems

  • Behnaz Ranjbar,
  • Hamidreza Alikhani,
  • Bardia Safaei,
  • Alireza Ejlali and
  • Akash Kumar

In Mixed-Criticality (MC) systems, multiple functions with different levels of criticality are integrated into a common platform in order to meet the intended space, cost, and timing requirements in all criticality levels. To guarantee the correct, a...

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Computers - ISSN 2073-431XCreative Common CC BY license