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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
12 Citations
4,089 Views
19 Pages

Prolonged computer-related work can be linked to musculoskeletal disorders (MSD) in the upper limbs and improper posture. In this regard, we report on developing resources supporting improper posture studies based on motion capture sensors. These res...

  • Article
  • Open Access
19 Citations
4,094 Views
19 Pages

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

  • Shahad Alahmed,
  • Qutaiba Alasad,
  • Maytham M. Hammood,
  • Jiann-Shiun Yuan and
  • Mohammed Alawad

Intrusion detection systems (IDS) are a very vital part of network security, as they can be used to protect the network from illegal intrusions and communications. To detect malicious network traffic, several IDS based on machine learning (ML) method...

  • Review
  • Open Access
6 Citations
6,229 Views
12 Pages

This short review shows how innovative processing units—including graphical processing units (GPUs)—are used in high-performance computing (HPC) in meteorology, introduces current scientific studies relevant to HPC, and discusses the late...

  • Article
  • Open Access
49 Citations
6,176 Views
21 Pages

Medical-Waste Chain: A Medical Waste Collection, Classification and Treatment Management by Blockchain Technology

  • Hai Trieu Le,
  • Khoi Le Quoc,
  • The Anh Nguyen,
  • Khoa Tran Dang,
  • Hong Khanh Vo,
  • Huong Hoang Luong,
  • Hieu Le Van,
  • Khiem Huynh Gia,
  • Loc Van Cao Phu and
  • Duy Nguyen Truong Quoc
  • + 3 authors

To prevent the spread of the COVID-19 pandemic, 2019 has seen unprecedented demand for medical equipment and supplies. However, the problem of waste treatment has not yet been given due attention, i.e., the traditional waste treatment process is done...

  • Article
  • Open Access
3 Citations
3,390 Views
23 Pages

Proposal of a Model for the Analysis of the State of the Use of ICT in Education Applied to Technological Institutes of Higher Education

  • William Villegas-Ch.,
  • Santiago Jácome-Vásconez,
  • Joselin García-Ortiz,
  • Javier Calvache-Sánchez and
  • Santiago Sánchez-Viteri

The inclusion of information and communication technologies in education has become a priority for all educational models, particularly for higher education institutes that have observed the need to integrate these technologies in the classroom. Howe...

  • Article
  • Open Access
21 Citations
3,957 Views
26 Pages

Multi-Controllers Placement Optimization in SDN by the Hybrid HSA-PSO Algorithm

  • Neamah S. Radam,
  • Sufyan T. Faraj Al-Janabi and
  • Khalid Sh. Jasim

Software-Defined Networking (SDN) is a developing architecture that provides scalability, flexibility, and efficient network management. However, optimal controller placement faces many problems, which affect the performance of the overall network. T...

  • Article
  • Open Access
4 Citations
3,578 Views
15 Pages

Walsh–Hadamard Kernel Feature-Based Image Compression Using DCT with Bi-Level Quantization

  • Dibyalekha Nayak,
  • Kananbala Ray,
  • Tejaswini Kar and
  • Chiman Kwan

To meet the high bit rate requirements in many multimedia applications, a lossy image compression algorithm based on Walsh–Hadamard kernel-based feature extraction, discrete cosine transform (DCT), and bi-level quantization is proposed in this...

  • Article
  • Open Access
7 Citations
2,562 Views
14 Pages

Multicriteria decision-making (MCDM) is one of the most common methods used to select the best alternative from a set of available alternatives. Many methods in MCDM are presented in the academic literature, with the latest being the Fuzzy Decision b...

  • Article
  • Open Access
3 Citations
2,795 Views
13 Pages

Enhancing GAN-LCS Performance Using an Abbreviations Checker in Automatic Short Answer Scoring

  • Ar-Razy Muhammad,
  • Adhistya Erna Permanasari and
  • Indriana Hidayah

Automatic short answer scoring methods have been developed with various algorithms over the decades. In the Indonesian language, the string-based similarity is more commonly used. This method is difficult to accurately measure the similarity of two s...

  • Article
  • Open Access
6 Citations
3,293 Views
20 Pages

DMLAR: Distributed Machine Learning-Based Anti-Collision Algorithm for RFID Readers in the Internet of Things

  • Rachid Mafamane,
  • Mourad Ouadou,
  • Hajar Sahbani,
  • Nisrine Ibadah and
  • Khalid Minaoui

Radio Frequency Identification (RFID) is considered as one of the most widely used wireless identification technologies in the Internet of Things. Many application areas require a dense RFID network for efficient deployment and coverage, which causes...

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Computers - ISSN 2073-431XCreative Common CC BY license