Article
Materials Science, Ceramics
R. Podor, X. Le Goff, J. Lautru, H. P. Brau, M. Massonnet, N. Clavier
Summary: The SEraMic method, implemented in the SEraMic plugin for Fiji or ImageJ software, is used to calculate a segmented image of ceramic cross sections that shows grain boundaries. It accurately determines grain boundary positions and evaluates grain size distribution in various materials, remaining easy to use and accurate when the average grain diameter is greater than or equal to 0.25 µm.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2021)
Article
Materials Science, Multidisciplinary
Norimitsu Koga
Summary: The three-dimensional lamellar alignment of pearlitic steels pre-processed with cold rolling and drawing was evaluated. The pre-processing had a significant impact on the lamellar alignment, as specific alignments were accumulated in the pre-processed specimens. The size and spacing of the colonies and lamellae were not affected by pre-processing.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Kaili Yang, Weihong Cui, Shu Shi, Yu Liu, Yuanjin Li, Mengyu Ge
Summary: This paper proposes a semi-automatic method for road network extraction from high-resolution remote-sensing images. The method extracts roads one by one and generates road networks based on the width of each road and the spatial relationships among them. The experiments show that this method has high extraction accuracy.
APPLIED SCIENCES-BASEL
(2022)
Article
Agronomy
Krzysztof Papuga, Jaroslaw Kaszubkiewicz, Dorota Kawalko, Maria Kreimeyer
Summary: The dynamometer method is used to determine particle size distribution and can be applied in soil sample research. This study investigates the effect of removing organic matter using hydrogen peroxide on particle size distribution results and identifies differences in soil samples after organic matter removal.
Article
Materials Science, Multidisciplinary
Xiaobin Zhang, Wenlong Zhang, Shuwang Bian, Pengfei Zhao
Summary: This paper calculates the relationship between the evolution of microstructure morphology and grain size, and the calculated solidification parameter, by comparing the solidification process percentage of the welding experiment and simulation. The research shows that the method of using the solidification process percentage to calculate the solidification parameter threshold for the microstructure evolution of welding is reliable, and the evolution threshold of microstructure morphology and grain size of AZ31 magnesium alloy is obtained.
Article
Chemistry, Applied
Bo Pan, Jinxuan Tao, Xianyang Bao, Jie Xiao, Hongsheng Liu, Xiaotong Zhao, Delu Zeng
Summary: A novel image segmentation methodology combined with optical microscopy observation was developed for qualifying starch swelling. Starch granules in the micrograph were successfully segmented based on high-precision edges extraction achieved by Canny edge detection together with mathematical morphology operation. Granules were automatically identified by computer vision and characterized by giving quantifiable area of these granules.
CARBOHYDRATE POLYMERS
(2021)
Article
Materials Science, Paper & Wood
Sezen Yucel, Robert J. Moon, Linda J. Johnston, Berkay Yucel, Surya R. Kalidindi
Summary: This paper introduces a new semi-automated image analysis framework called SMART, which can reliably and quickly detect and classify CNCs from TEM and AFM images and measure their dimensions. The SMART approach shows good agreement and higher throughput in CNC identification and dimensional measurements compared to conventional manual methods.
Article
Materials Science, Ceramics
Kaiwen Zheng, Zhiheng Huang, Dechang Jia, Hua-Tay Lin, Shuanjin Wang, Min Xiao, Yuezhong Meng
Summary: The MicroStructure Hierarchy Descriptor (muμSHD) has established a connection between the structure hierarchy and properties of ceramic materials. A new variable, AscAsc, has been constructed and calibrated based on muμSHD, which represents the average of scales in a ceramic microstructure. It is found that AscAsc is related to both the size scales and morphological features in microstructures. In the Hall-Petch regime, the Vickers hardness (H-V) of ZrO2-SiC composite ceramics and high entropy metallic borides is found to increase with the decrease of AscAsc index. For ZrO2 ceramics, a uniform rule is identified in both direct and inverse Hall-Petch regimes, where AscAsc varies in the opposite trend as H-V varies with grain size (d).
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2023)
Article
Chemistry, Physical
Jia-Yi Lee, Chih-Ming Chen
Summary: The study investigated the growth kinetics of Cu6Sn5 IMC in solder/Cu joints under liquid/solid and solid/solid reactions, influenced by different thickness and morphology. Results showed that increasing reaction time led to a slowdown in the growth rate of Cu6Sn5.
Article
Chemistry, Physical
Xiaolin Zhu, Yuhong Zhu, Cairong Kang, Mingqi Liu, Qiang Yao, Pingze Zhang, Guanxi Huang, Linning Qian, Zhitao Zhang, Zhengjun Yao
Summary: Grain size significantly affects the mechanical properties of metals, making accurate assessment of grain size in steels crucial. This paper presents a model for automatic detection and quantitative analysis of the grain size in ferrite-pearlite microstructures. By segmenting the ferrite grain boundaries, hidden grain boundaries in pearlite microstructures are inferred based on the confidence of average grain size. The grain size is then rated using the three-circle intercept procedure. The results show accurate segmentation of grain boundaries and a rating accuracy exceeding 90% compared to manual expert-based calculations.
Article
Engineering, Environmental
Yiheng Zhang, Qing Wang, Duanfeng Han, Jiabao Li, Chunyang Wang
Summary: The fracture toughness of granular freshwater ice, including mixed mode and mode II fracture toughness, was investigated using the semi-circular bend method in this study. The experimental results showed that the fracture toughness values generally decreased slowly with increasing grain size. The use of the generalized maximum tangential stress criteria provided a better understanding of the fracture toughness of ice specimens under mixed mode loading conditions.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2023)
Article
Marine & Freshwater Biology
Yonglan Zhu, Qi Chen, Yang Zhang, Wenwen Tang, Chaoran Xu, Weihua Li, Jianjun Jia
Summary: Natural coasts act as a natural barrier and provide protection against waves and storm surges. With sea level rise and coastal erosion, it is important to focus on nature-based coastal reconstruction and protection, especially for sand-gravel beaches. The development of accurate and portable gravel grain size measurement technology, such as the GraSSAMS system, is essential for beach replenishment and coastal protection.
ESTUARINE COASTAL AND SHELF SCIENCE
(2023)
Article
Materials Science, Multidisciplinary
Heli Wan, Lingxin Kong, Bin Yang, Baoqiang Xu, Mengping Duan, Yongnian Dai
Summary: The authors discovered folding phenomenon during aluminum zone melting and purification in a protective atmosphere for the first time, which affects aluminum purity and crystal growth; compared to zone melting under a protective atmosphere, vacuum zone melting reduces interfacial folding, leading to improved aluminum purity and larger crystal size.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Green & Sustainable Science & Technology
Roberto Pierdicca, Mattia Balestra, Giulia Micheletti, Andrea Felicetti, Giuseppe Toscano
Summary: The production of wood pellets was developed to manage residual sawdust from wood processing. The geometric-dimensional aspects of pellets are important for density, energy density, and thermal capacity. However, the current measurement method is time-consuming and less accurate, so there is a need to use deep neural networks for measuring pellet dimensions.
Article
Radiology, Nuclear Medicine & Medical Imaging
Pedro Henrique Campos Cunha Gondim, Pedro Henrique Justino Oliveira Limirio, Flaviana Soares Rocha, Jonas Dantas Batista, Paula Dechichi, Bruno Augusto Nassif Travencolo, Andre Ricardo Backes
Summary: The literature mainly focuses on cell nuclei segmentation in histological images, while this paper introduces an automatic segmentation method for analyzing the bone vascular network, demonstrating its efficiency and feasibility compared to other methods.
JOURNAL OF DIGITAL IMAGING
(2021)
Review
Computer Science, Interdisciplinary Applications
Hans Morales-Lopez, Israel Cruz-Vega, Jose Rangel-Magdaleno
Summary: Computational intelligence is a powerful tool in solving complex problems in image processing, particularly in the detection and grading of cataracts, which can help prevent cataract surgery in the early stages. This study compares different algorithms in cataract grading and classification, providing a guide for researchers and doctors to select suitable methods for improving cataract detection.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Chemistry, Analytical
Jose J. Castillo-Zamora, Karla A. Camarillo-Gomez, Gerardo I. Perez-Soto, Juvenal Rodriguez-Resendiz, Luis A. Morales-Hernandez
Summary: This manuscript presents a methodology to identify the hydrodynamic parameters of a mini-AUV and evaluate its performance using different controllers, which involves simulation, data processing, and the application of the Least Square Method. The designed controllers based on robot manipulators theory are evaluated through numerical simulations.
Article
Chemistry, Analytical
Salvador Martinez-Cruz, Juan P. Amezquita-Sanchez, Gerardo I. Perez-Soto, Jesus R. Rivera-Guillen, Luis A. Morales-Hernandez, Karla A. Camarillo-Gomez
Summary: This paper applies the finite element method and the MUSIC algorithm to identify the natural frequencies of a two degrees-of-freedom planar robot, with validation through experiments. The results demonstrate that the proposed methodology can effectively overcome challenges such as high-level noise and close frequencies, improving frequency resolution and aiding in path planning and controller gain selection.
Article
Computer Science, Interdisciplinary Applications
E. Morales-Vargas, H. Peregrina-Barreto, J. C. Ramirez-San-Juan
Summary: This study aims to improve blood vessel visualization by reducing noise in contrast images using an innovative method with adaptive analysis windows. The experiments demonstrate significant noise reduction and improved visualization of blood vessels with higher contrast to noise ratio compared to traditional methods. The proposed method shows promise for achieving high-quality images with fewer frames.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Chemistry, Analytical
Josue R. Velazquez-Gonzalez, Hayde Peregrina-Barreto, Jose J. Rangel-Magdaleno, Juan M. Ramirez-Cortes, Juan P. Amezquita-Sanchez
Summary: Sudden Cardiac Death (SCD) can be detected in advance using ECG signals with a high accuracy rate. The proposed sparse representation technique offers practicality and flexibility in identifying SCD episodes before they occur.
Article
Chemistry, Multidisciplinary
Gilberto Alvarado-Robles, Francisco J. Solis-Munoz, Marco A. Garduno-Ramon, Roque A. Osornio-Rios, Luis A. Morales-Hernandez
Summary: This study introduces a local color transfer methodology based on the CIE L*a*b color space, followed by color tuning using the HSV color space, to address shadow removal in aerial imaging. Results show that the proposed method provides low shadow standard deviation index values and improves color correspondence without losing texture information, compared to other tested methods.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Jean K. Gomez-Reyes, Juan P. Benitez-Rangel, Luis A. Morales-Hernandez, Emmanuel Resendiz-Ochoa, Karla A. Camarillo-Gomez
Summary: This paper provides an overview of the most frequently applied mosaicing techniques in UAVs, focusing on the use of aerial photographs for image processing. The generation of panoramic images and the solution to alignment and ghosting issues are highlighted. It aims to introduce interested readers to this field and presents a summary of the most commonly used techniques and their applications.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Hayde Peregrina-Barreto, Valeria Y. Ramirez-Guatemala, Gabriela C. Lopez-Armas, Jose A. Cruz-Ramos
Summary: This paper proposes a method for quantitative analysis of breast cancer tissue using digital image processing techniques. The method can automatically characterize the tissue and achieved high accuracy in breast cancer grading and identification. The method was tested on different databases and under various conditions, demonstrating its reliability for histological breast tissue analysis.
Review
Oncology
Jesus A. Basurto-Hurtado, Irving A. Cruz-Albarran, Manuel Toledano-Ayala, Mario Alberto Ibarra-Manzano, Luis A. Morales-Hernandez, Carlos A. Perez-Ramirez
Summary: This article reviews the application of artificial intelligence in breast cancer image generation and processing, outlining the steps from image generation to interpretation, introducing technologies that can be used in next-generation diagnostic strategies, and emphasizing the importance of early diagnosis of breast cancer.
Article
Chemistry, Analytical
Eduardo Morales-Vargas, Juan Pablo Padilla-Martinez, Hayde Peregrina-Barreto, Wendy Argelia Garcia-Suastegui, Julio Cesar Ramirez-San-Juan
Summary: This study proposes an adaptive processing method to improve vessel segmentation and conducts experiments on LSCI images. The results show that adaptive feature extraction can enhance the segmentation rates of blood vessels in deep images.
Article
Energy & Fuels
Luis Armando Galvan-Camacho, Ana Angelica Feregrino-Perez, Francisco Javier De Moure-Flores, Luis Alberto Morales-Hernandez, Juan Campos-Guillen, Jose Alberto Rodriguez-Morales, Antonio Flores-Macias, Diana Laura Quezada-Morales, Carlos Eduardo Zavala-Gomez, Miguel Angel Ramos-Lopez
Summary: The oil content of castor bean plants can be increased by externally applying salicylic acid, and the use of castor biodiesel can reduce emissions.
Article
Environmental Sciences
Daniel Jaramillo-Quintanar, Irving A. Cruz-Albarran, Benjamin Dominguez-Trejo, David A. Rodriguez-Medina, Luis Alberto Morales-Hernandez
Summary: In recent years, thermal images of the human body, especially in the face, have been widely used for various purposes such as epidemiology, clinical analysis, and psychology. This study created a facial thermal map of the Mexican population in the basal state and compared different population groups based on gender, age, and clinical status. Statistical differences were found in certain regions of interest, indicating the potential applications of thermal analysis in various fields.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Computer Science, Information Systems
Omar Trejo-Chavez, Juan P. Amezquita-Sanchez, Jose R. Huerta-Rosales, Luis A. Morales-Hernandez, Irving A. Cruz-Albarran, Martin Valtierra-Rodriguez
Summary: This paper proposes a method based on infrared thermography and convolutional neural networks to differentiate between a healthy knee and an injured knee. By processing images and designing a CNN, the proposed method can automatically identify a patient with an injured knee with high accuracy. The method has the advantages of being fast, low-cost, harmless, and non-invasive.
Article
Engineering, Electrical & Electronic
Carlos Javier Morales-Perez, Jose de Jesus Rangel-Magdaleno, Hayde Peregrina-Barreto, Arturo Garcia-Perez, Juan Manuel Ramirez-Cortes
Summary: This article proposes a noise reduction methodology based on the orthogonal matching pursuit algorithm with dictionaries constructed from kernel functions of the discrete cosine transform and discrete sine transform. The methodology is proven to be effective in reducing noise and recovering signals through testing on synthetic and real electrical signals.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Artificial Intelligence
Maria Herrera-Arellano, Hayde Peregrina-Barreto, Ivan Terol-Villalobos
Summary: This study proposes a method of selective Visible-NIR fusion using top-hat transform, with experimental results showing a high degree of detail preservation in edges while maintaining the color of the image. The method also demonstrates that improvements in image quality were not significantly affected by a change in the color space.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
