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Computation, Volume 12, Issue 6

2024 June - 22 articles

Cover Story: The paper presents a method for planning motion across a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reaching a static or random target within a pre-defined configuration space. The paper addresses the challenge of motion planning in environments under a variety of conditions, including environments with and without the presence of collision objects. It highlights the versatility and potential for future expansion through the integration of OpenAI Gym and the PyBullet physics-based simulator. View this paper
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Articles (22)

  • Article
  • Open Access
2 Citations
1,932 Views
20 Pages

Human–Object Interaction: Development of a Usability Index for Product Design Using a Hierarchical Fuzzy Axiomatic Design

  • Mayra Ivette Peña-Ontiveros,
  • Cesar Omar Balderrama-Armendariz,
  • Alberto Rossa-Sierra,
  • Aide Aracely Maldonado-Macias,
  • David Cortés Sáenz and
  • Juan Luis Hernández Arellano

Consumer product usability has been addressed using tools that evaluate objects to improve user interaction. However, such diversity in approach makes it challenging to select a method for the type of product being assessed. This article compiles the...

  • Article
  • Open Access
4 Citations
3,263 Views
27 Pages

Development and Verification of Coupled Fluid–Structure Interaction Solver

  • Avery Schemmel,
  • Seshendra Palakurthy,
  • Anup Zope,
  • Eric Collins and
  • Shanti Bhushan

Recent trends in aeroelastic analysis have shown a great interest in understanding the role of shock boundary layer interaction in predicting the dynamic instability of aircraft structural components at supersonic and hypersonic flows. The analysis o...

  • Article
  • Open Access
1 Citations
1,773 Views
23 Pages

The purpose of this article is to present three related studies that build on each other to demonstrate first the need and then the efficacy of the Blended Arithmetic Curriculum (BAC) to help students overcome both slow language processing and the en...

  • Article
  • Open Access
3 Citations
1,411 Views
22 Pages

Solution of the Optimization Problem of Magnetotelluric Sounding in Quaternions by the Differential Evolution Method

  • Syrym E. Kasenov,
  • Zhanar E. Demeubayeva,
  • Nurlan M. Temirbekov and
  • Laura N. Temirbekova

The article discusses the application of quaternion Fourier transforms and quaternion algebra to transform Maxwell’s equations. This makes it possible to present the problem of magnetotelluric sensing (MTS) in a more convenient form for researc...

  • Article
  • Open Access
8 Citations
4,149 Views
32 Pages

Residential Sizing of Solar Photovoltaic Systems and Heat Pumps for Net Zero Sustainable Thermal Building Energy

  • Shafquat Rana,
  • Uzair Jamil,
  • Nima Asgari,
  • Koami S. Hayibo,
  • Julia Groza and
  • Joshua M. Pearce

To enable net zero sustainable thermal building energy, this study develops an open-source thermal house model to couple solar photovoltaic (PV) and heat pumps (HPs) for grid-connected residential housing. The calculation of both space heating and co...

  • Article
  • Open Access
7 Citations
3,123 Views
17 Pages

Syrga2: Post-Quantum Hash-Based Signature Scheme

  • Kunbolat Algazy,
  • Kairat Sakan,
  • Saule Nyssanbayeva and
  • Oleg Lizunov

This paper proposes a new post-quantum signature scheme, Syrga2, based on hash functions. As known, existing post-quantum algorithms are classified based on their structures. The proposed Syrga2 scheme belongs to the class of multi-use signatures wit...

  • Article
  • Open Access
4 Citations
3,747 Views
16 Pages

Large-Eddy Simulations of a Supersonic Impinging Jet Using OpenFOAM

  • Rion Guang Yi You,
  • Tze How New and
  • Wai Lee Chan

Supersonic impinging jets are a versatile configuration that can model the compressible flows of cold-spray manufacturing and vertical take-off-and landing strategy. In this work, rhoCentralFoam, solver of the OpenFOAM framework, and a large-eddy sim...

  • Article
  • Open Access
1,521 Views
18 Pages

The static and fatigue analysis of plates made of 2D woven roving composites with holes is conducted. The parametrization of convex holes is proposed. The experimental results of the specimens without holes and with different shapes of notches are di...

  • Article
  • Open Access
1 Citations
1,919 Views
15 Pages

Design, Fabrication and Testing of a Multifrequency Microstrip RFID Tag Antenna on Si

  • Timothea Korfiati,
  • Christos N. Vazouras,
  • Christos Bolakis,
  • Antonis Stavrinidis,
  • Giorgos Stavrinidis and
  • Aggeliki Arapogianni

A configurable design of a microstrip square spiral RFID tag antenna, for a wide range of microwave frequencies in the S- and C-band, is presented. The design is parameterized in dimensions, and hence changing the design frequency (or frequencies) is...

  • Article
  • Open Access
1,383 Views
14 Pages

This article describes an approach for optimizing sensor-controlled systems through minimal intervention, utilizing fuzzy linear systems of equations (FLSEs). Starting with a generalized model of the system behavior, we incorporate an array of contro...

  • Article
  • Open Access
3 Citations
3,178 Views
18 Pages

Modeling of Mean-Value-at-Risk Investment Portfolio Optimization Considering Liabilities and Risk-Free Assets

  • Sukono,
  • Puspa Liza Binti Ghazali,
  • Muhamad Deni Johansyah,
  • Riaman,
  • Riza Andrian Ibrahim,
  • Mustafa Mamat and
  • Aceng Sambas

This paper aims to design a quadratic optimization model of an investment portfolio based on value-at-risk (VaR) by entering risk-free assets and company liabilities. The designed model develops Markowitz’s investment portfolio optimization mod...

  • Article
  • Open Access
1 Citations
3,599 Views
13 Pages

The therapeutic potential of delta9-tetrahydrocannabinol (THC), a primary cannabinoid in the cannabis plant, has led to its development into oral medical products for treating various conditions. However, THC, being a psychoactive substance, can lead...

  • Communication
  • Open Access
1,989 Views
33 Pages

Investigation of the Global Fear Associated with COVID-19 Using Subjectivity Analysis and Deep Learning

  • Nirmalya Thakur,
  • Kesha A. Patel,
  • Audrey Poon,
  • Rishika Shah,
  • Nazif Azizi and
  • Changhee Han

The work presented in this paper makes multiple scientific contributions related to the investigation of the global fear associated with COVID-19 by performing a comprehensive analysis of a dataset comprising survey responses of participants from 40...

  • Article
  • Open Access
14 Citations
1,300 Views
16 Pages

This paper provides a new fractional boundary element method (BEM) solution for nonlinear nonlocal thermoelastic problems with anisotropic fibrous polymer nanoparticles. This comprehensive BEM solution comprises two solutions: the anisotropic fibrous...

  • Article
  • Open Access
5 Citations
7,717 Views
17 Pages

Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures

  • Roman Parák,
  • Jakub Kůdela,
  • Radomil Matoušek and
  • Martin Juříček

The use of robot manipulators in engineering applications and scientific research has significantly increased in recent years. This can be attributed to the rise of technologies such as autonomous robotics and physics-based simulation, along with the...

  • Article
  • Open Access
3 Citations
2,261 Views
22 Pages

High-Performance Krawtchouk Polynomials of High Order Based on Multithreading

  • Wameedh Nazar Flayyih,
  • Ahlam Hanoon Al-sudani,
  • Basheera M. Mahmmod,
  • Sadiq H. Abdulhussain and
  • Muntadher Alsabah

Orthogonal polynomials and their moments serve as pivotal elements across various fields. Discrete Krawtchouk polynomials (DKraPs) are considered a versatile family of orthogonal polynomials and are widely used in different fields such as probability...

  • Article
  • Open Access
1,374 Views
17 Pages

A recently proposed scalar forcing scheme that maintains the mixture fraction mean, root-mean-square and probability density function in the unburned gas can lead to a statistically quasi-stationary state in direct numerical simulations of turbulent...

  • Article
  • Open Access
14 Citations
4,261 Views
17 Pages

Early detection of plant nutrient deficiency is crucial for agricultural productivity. This study investigated the performance and interpretability of Convolutional Neural Networks (CNNs) for this task. Using the rice and banana datasets, we compared...

  • Article
  • Open Access
3 Citations
5,364 Views
37 Pages

Structure-Based Discovery of Potential HPV E6 and EBNA1 Inhibitors: Implications for Cervical Cancer Treatment

  • Emmanuel Broni,
  • Carolyn N. Ashley,
  • Miriam Velazquez,
  • Patrick O. Sakyi,
  • Samuel K. Kwofie and
  • Whelton A. Miller

Cervical cancer is the fourth most diagnosed cancer and the fourth leading cause of cancer death in women globally. Its onset and progression have been attributed to high-risk human papillomavirus (HPV) types, especially 16 and 18, while the Epstein&...

  • Article
  • Open Access
1 Citations
2,162 Views
12 Pages

The Effect of Critical Distance in Digital Levelling

  • Jana Izvoltova,
  • Jakub Chromcak and
  • Dasa Bacova

Critical distance concerns precise digital levelling, which has inaccurate results at a certain sighting distance. The influence of critical distance on a measured height difference has been confirmed by calibrating certain digital levels and their a...

  • Article
  • Open Access
1 Citations
2,145 Views
20 Pages

Coronary artery disease (CAD) is one of the main causes of death in the world. Functional indices such as fractional flow reserve (FFR), coronary flow reserve (CFR) and instantaneous wave-free ratio (iFR) are used to estimate the severity of CAD. App...

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Computation - ISSN 2079-3197