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1. A self-adaptive particle swarm optimization based K-means (SAPSO-K) clustering method to evaluate fabric tactile comfort

Author:
Yi Sun; Gui Liu; Dongming Zheng; Haochen Zou; Zhenrui Liu; Jinkang Liu; Zhaoqun Du
Source:
The journal of the Textile Institute 2025 v.113 no.5 pp. 915-926
ISSN:
1754-2340
Subject:
algorithms,   etc   ; data collection; fabrics;     Show all 3 Subjects
Abstract:
... This article proposes a new clustering algorithm of the self-adaptive particle swarm optimization (PSO) based K-means (SAPSO-K) to evaluate the fabric tactile comfort and compared with other algorithms. In this study, the efficient characterization of Quick-Intelligent Handle Evaluation System (QIHES) method was used to detect the mechanical properties, where 10 feature indexes were extracted from ...
DOI:
10.1080/00405000.2021.1908484

2. An innovative design of planar fabric structure with transversely isotropic properties

Author:
Parnian Ghanbari; Hadi Dabiryan; Hooshang Nosraty
Source:
The journal of the Textile Institute 2025 v.113 no.5 pp. 701-712
ISSN:
1754-2340
Subject:
algorithms,   etc   ; fabrics; isotropy; tensile strength;     Show all 4 Subjects
Abstract:
... Most fabrics produced by conventional methods have two orthogonal planes of symmetry, and they are considered as orthotropic materials. The aim of this study is to design an innovative fabric structure with transversely isotropic properties. Using two sets of yarns, namely radial yarns and circumferential yarn, the new fabric structure was defined in the polar coordinate system. The geometrical pa ...
DOI:
10.1080/00405000.2021.1901456

3. Detection of polycyclic aromatic hydrocarbons using a high performance-single particle aerosol mass spectrometer

Author:
Yao Zhang; Chenglei Pei; Jinwen Zhang; Chunlei Cheng; Xiufeng Lian; Mubai Chen; Bo Huang; Zhong Fu; Zhen Zhou; Mei Li
Source:
Journal of environmental sciences (China) 2023 v.124 pp. 806-822
ISSN:
1001-0742
Subject:
algorithms,   etc   ; aerosols; biomass; comparative study; mass spectrometry; spectrometers; China;     Show all 7 Subjects
Abstract:
... The real-time detection of the mixing states of polycyclic aromatic hydrocarbons (PAHs) and nitro-PAHs in ambient particles is of great significance for analyzing the source, aging process, and health effects of PAHs and nitro-PAHs; yet there is still few effective technology to achieve this type of detection. In this study, 11 types of PAH and nitro-PAH standard samples were analyzed using a high ...
DOI:
10.1016/j.jes.2022.02.003

4. A new computational approach to Henderson’s method of computing the inverse of a numerator relationship matrix

Author:
Mohammad Ali Nilforooshan
Source:
Livestock science 2022 v.257 pp. 104848
ISSN:
1871-1413
Subject:
algorithms,   etc   ; livestock; pedigree;     Show all 3 Subjects
Abstract:
... A new computational approach was developed for computing the inverse of the numerator relationship matrix (A−1) based on a well-known method (Henderson, 1976). Given the pedigree and inbreeding coefficients, Mendelian Sampling variances are calculated for all individuals in the pedigree (vector b). Depending on the number of an individual’s known parents, individual i contributes weighted bi to va ...
DOI:
10.1016/j.livsci.2022.104848

5. Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios

Author:
Oscar F. Peredo; José R. Herrero
Source:
Computers & geosciences 2022 v.160 pp. 105027
ISSN:
0098-3004
Subject:
algorithms,   etc   ; algebra; anisotropy;     Show all 3 Subjects
Abstract:
... This paper describes the application of acceleration techniques into existing implementations of Sequential Gaussian Simulation and Sequential Indicator Simulation. These implementations might incorporate Locally Varying Anisotropy (LVA) to capture non-linear features of the underlying physical phenomena. The implementation focuses on a novel parallel neighbour search algorithm, which can be used ...
DOI:
10.1016/j.cageo.2021.105027

6. Accuracy assessment of external orientation elements for digital images obtained from UAVS using derivatives of implicitly specified functions

Author:
V.M. Hlotov; M.M. Fys; Z. Siejka; M.I. Yurkiv
Source:
Remote sensing applications 2022 v.25 pp. 100683
ISSN:
2352-9385
Subject:
algorithms,   etc   ; landscapes; photogrammetry;     Show all 3 Subjects
Abstract:
... The purpose of investigation is to develop an algorithm for determining the a priori accuracy assessment of the external orientation angle elements of digital images obtained from UAVs. Formulas for estimating the accuracy of external orientation elements are determined by the derivatives of many variables functions, which are the solutions of linear equations systems. These systems are obtained b ...
DOI:
10.1016/j.rsase.2021.100683

7. Advanced score system and automated search strategies for parameter estimation in mechanistic chromatography modeling

Author:
William Heymann; Juliane Glaser; Fabrice Schlegel; Will Johnson; Pablo Rolandi; Eric von Lieres
Source:
Journal of chromatography 2022 v.1661 pp. 462693
ISSN:
0021-9673
Subject:
algorithms,   etc   ; automation; chromatography;     Show all 3 Subjects
Abstract:
... Least squares estimation of unknown parameters from measurement data is a well-established standard method in chromatography modeling but can suffer from critical disadvantages. The description of real-world systems is generally prone to unaccounted mechanisms, such as dispersion in external holdup volumes, and systematic measurement errors, such as caused by pump delays. In this scenario, matchin ...
DOI:
10.1016/j.chroma.2021.462693

8. An algorithm for online detection of colour differences in warp knitted fabrics

Author:
Guosheng Xie; Yang Xu; Zhiqi Yu; Yize Sun
Source:
The journal of the Textile Institute 2022 v.113 no.1 pp. 159-165
ISSN:
1754-2340
Subject:
algorithms,   etc   ; color; lighting;     Show all 3 Subjects
Abstract:
... The current color difference online detection algorithm has poor real-time performance. The noise affects color difference monitoring and sampling detection results are different from online detection. Therefore, a color difference online detection algorithm is studied. Firstly, the Flat Field and Perfect Reflector Method (PRM) are used to correct the color illumination uniformity of warp knitted ...
DOI:
10.1080/00405000.2020.1866280

9. An optimal surrogate-model-based approach to support comfortable and nearly zero energy buildings design

Author:
Badr Chegari; Mohamed Tabaa; Emmanuel Simeu; Fouad Moutaouakkil; Hicham Medromi
Source:
Energy 2022 v.248 pp. 123584
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; stakeholders;     Show all 3 Subjects
Abstract:
... The shift from conventional buildings to the so-called Nearly Zero Energy Buildings (NZEBs) is becoming one of the major contemporary challenges in the world. In this work, a multi-objective optimization approach, based on a smart surrogate model, has been developed to minimize the energy consumption, improve the thermal comfort of the occupants and increase the energy self-sufficiency of resident ...
DOI:
10.1016/j.energy.2022.123584

10. Application of bio-inspired optimization algorithms in food processing

Author:
Tanmay Sarkar; Molla Salauddin; Alok Mukherjee; Mohammad Ali Shariati; Maksim Rebezov; Lyudmila Tretyak; Mirian Pateiro; José M. Lorenzo
Source:
Current research in food science 2022 v.5 pp. 432-450
ISSN:
2665-9271
Subject:
algorithms,   etc   ; research; wolves;     Show all 3 Subjects
Abstract:
... Bio-inspired optimization techniques (BOT) are part of intelligent computing techniques. There are several BOTs available and many new BOTs are evolving in this era of industrial revolution 4.0. Genetic algorithm, particle swarm optimization, artificial bee colony, and grey wolf optimization are the techniques explored by researchers in the field of food processing technology. Although, there are ...
DOI:
10.1016/j.crfs.2022.02.006

11. DPMU-based multiple event detection in a microgrid considering measurement anomalies

Author:
Shreyasi Som; Rajarshi Dutta; Amir Gholami; Anurag K. Srivastava; Saikat Chakrabarti; Soumya Ranjan Sahoo
Source:
Applied energy 2022 v.308 pp. 118269
ISSN:
0306-2619
Subject:
algorithms,   etc   ; capacitors; energy;     Show all 3 Subjects
Abstract:
... A microgrid may be subjected to various unexpected events, such as sudden tripping of a generator/load, line outages due to faults, sudden switching of large capacitor banks, etc. Detection and classification of events play an essential role in the reliable operation, control, and restoration of microgrids. Due to low observability in microgrids, anomalies in measurements pose a challenge for reli ...
DOI:
10.1016/j.apenergy.2021.118269

12. Effect of slickwater-alternate-slurry injection on proppant transport at field scales: A hybrid approach combining experiments and deep learning

Author:
Lei Hou; Yiyan Cheng; Xiaoyu Wang; Jianhua Ren; Xueyu Geng
Source:
Energy 2022 v.242 pp. 122987
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; sand;     Show all 3 Subjects
Abstract:
... Proppant transport in underground fractures plays a key role in mitigating sand screen-out and enhancing the stimulated production for hydraulic fracturing. The effects of field pumping schedules, however, are not fully studied. We investigate the effect of slickwater-alternate-slurry injection on proppant transport at field-practical scales. A new hybrid approach is proposed to directly connect e ...
DOI:
10.1016/j.energy.2021.122987

13. Varying Amplitude Vibration Phase Suppression Algorithm in ISAL Imaging

Author:
Hongfei Yin; Liang Guo; Yachao Li; Liang Han; Mengdao Xing; Xiaodong Zeng
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
algorithms,   etc   ; lidar; vibration;     Show all 3 Subjects
Abstract:
... Platform vibration introduces sinusoidal modulation in inverse synthetic aperture lidar (ISAL) imaging, which causes paired echoes in ISAL imaging. In this paper, a varying amplitude vibration phase suppression algorithm is proposed. Working without prior knowledge, the proposed algorithm can suppress paired echoes under the condition of varying vibration amplitude and will not introduce new phase ...
DOI:
10.3390/rs14051122

14. A complementary and precise vehicle detection approach in RGB-T images via semi-supervised transfer learning and decision-level fusion

Author:
Xun Xun Zhang; Xiao Yu Lu; Lang Peng
Source:
International journal of remote sensing 2022 v.43 no.1 pp. 196-214
ISSN:
1366-5901
Subject:
algorithms,   etc   ; data collection; traffic;     Show all 3 Subjects
Abstract:
... Owing to the strong complementarity between visible and infra-red thermal (RGB-T) images, the two types of images receive the increased application of vehicle detection in traffic monitoring. Now, how to take full advantage of the two kinds of images for vehicle fusion detection has drawn wide publicity. Nevertheless, due to the requirement of high quality and high precision on vehicle fusion dete ...
DOI:
10.1080/01431161.2021.2008543

15. A convolutional operation-based online computation offloading approach in wireless powered multi-access edge computing networks

Author:
Yueting Wang; Minzan Li; Ronghua Ji; Minjuan Wang; Yao Zhang; Lihua Zheng
Source:
Computers and electronics in agriculture 2022 v.197 pp. 106967
ISSN:
0168-1699
Subject:
algorithms,   etc   ; agriculture; electronics; memory;     Show all 4 Subjects
Abstract:
... Prompt, uninterrupted, accurate and reliable agricultural information plays an important role for agricultural decision making, which requires stable and efficient data transmission frame. Wireless powered multi-access edge computing (MEC) has recently emerged as a promising paradigm to improve the capability of data transmission with low-power network. Applying wireless powered MEC to agricultura ...
DOI:
10.1016/j.compag.2022.106967

16. A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems

Author:
Tingting Li; Yangze Zhou; Yang Zhao; Chaobo Zhang; Xuejun Zhang
Source:
Applied energy 2022 v.306 pp. 118088
ISSN:
0306-2619
Subject:
algorithms,   etc   ; Bayesian theory; energy;     Show all 3 Subjects
Abstract:
... Bayesian network is a powerful algorithm to diagnose the faults in building energy systems based on incomplete and uncertain diagnostic information. In practice, it is very challenging to construct Bayesian networks for large-scale and complex systems. Inspired by the object oriented programming technology, a hierarchical object oriented Bayesian network-based method is proposed in this study. Its ...
DOI:
10.1016/j.apenergy.2021.118088

17. A multi-objective framework for distributed energy resources planning and storage management

Author:
Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir; Mahmoud Fotuhi-Firuzabad
Source:
Applied energy 2022 v.314 pp. 118887
ISSN:
0306-2619
Subject:
algorithms,   etc   ; energy; system optimization;     Show all 3 Subjects
Abstract:
... The use of energy storage systems (ESS) and distributed generators (DGs) to improve reliability is one of the solutions that has received much attention from researchers today. In this study, we utilize a multi-objective optimization method for optimal planning of distributed generators in electric distribution networks from the perspective of multi-objective optimization. The objective is to impr ...
DOI:
10.1016/j.apenergy.2022.118887

18. Algorithm to Identify Vapor–Liquid–Liquid Equilibria of Binary Mixtures from Vapor–Liquid Equilibria

Author:
Ian H. Bell; Ulrich K. Deiters; Andreas Jäger
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.6 pp. 2592-2599
ISSN:
1520-5045
Subject:
algorithms,   etc   ; chemistry; process design;     Show all 3 Subjects
Abstract:
... In this work, we demonstrate that tracing the vapor–liquid equilibria for binary mixtures also includes all the information needed to obtain the three-phase line if one is present. This simple observation serves as a launching point for calculation of the liquid–liquid equilibrium and three-phase equilibria, even when one component is supercritical. We close with the demonstration of the automatic ...
DOI:
10.1021/acs.iecr.1c04703

19. Algorithmic approach to process design of direct rotary dryers-coolers

Author:
Zdzisław Pakowski
Source:
Drying technology 2022 v.40 no.5 pp. 948-965
ISSN:
1532-2300
Subject:
algorithms,   etc   ; energy; process design;     Show all 3 Subjects
Abstract:
... This paper shows how the problem of simulation and design of integrated direct rotary dryer and cooler can be solved in an algorithmic way. In the last few decades dryers and coolers are often assembled in one unit to save space and/or energy (process integration). Several types of construction of such units have been proposed. Since the coupling between models describing both parts of such a unit ...
DOI:
10.1080/07373937.2020.1841789

20. Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera

Author:
Petter Risholm; Ahmed Mohammed; Trine Kirkhus; Sigmund Clausen; Leonid Vasilyev; Ole Folkedal; Øistein Johnsen; Karl Henrik Haugholt; Jens Thielemann
Source:
Aquacultural engineering 2022 v.97 pp. 102227
ISSN:
0144-8609
Subject:
algorithms,   etc   ; biomass; cameras; fish;     Show all 4 Subjects
Abstract:
... Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to automate biomass estimation. We propose to use an underwater 3D range-gated camera for accurate fish-length estimation of free-swimming fish. The proposed algorithm requires no man ...
DOI:
10.1016/j.aquaeng.2022.102227