bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Sobel-enhanced total focusing method using an ultrasonic linear array transducer for detecting wrinkles in multidirectional CFRPs
Authors: Ma Tengfei , Zhou Zhenggan , Li Yang , Zhou Wenbin 
Published: May 2024

Abstract
Carbon-fiber reinforced plastics (CFRP) are increasingly used in the aerospace industry. Wrinkles are common defects of complex curved CFRP parts, severely damaging the mechanical performance. The ultrasonic technique is an effective tool for detecting wrinkle defects in complex curved CFRP parts in the aerospace industry. We propose a Sobel-enhanced total focusing method using an ultrasonic linear array transducer for detecting wrinkles in multidirectional CFRPs. The total focusing method (TFM) imaging wrinkles loses some ply geometry information due to the non-zero local mean when extracting the cosine of the instantaneous phase of a synthetic depth trace from its associated analytic signal for amplitude normalization. The proposed Sobel-enhanced TFM method combines the aperture-angle limitation and the vertical Sobel operator to relieve the non-zero local mean in this paper. The proposed method can extract almost all ply geometry information of a 32-ply CFRP sample when the limited angle, θ
max = 10° or 5°.
Phase coherence factor-based ultrasonic annular array testing method for coarse-grained materials
Authors: Yang Gongpeng , Zhou Zhenggan , Li Yang , Zhou Wenbin 
Published: May 2024

Abstract
Metal materials with coarse-grained structures have the characteristics of coarse grain, acoustic anisotropy, and structural inhomogeneity. When the ultrasonic wave propagates in its interior, the above characteristics will cause strong waveform distortion, acoustic energy attenuation, and structural-acoustic scattering, resulting in a poor signal-to-noise ratio of the ultrasonic echo signal. The annular array ultrasonic transducer has a three-dimensional axisymmetric acoustic field, which is less affected by the grain structure than the linear array ultrasonic transducer. It can realize the focus within the detection range by the total focusing method (TFM) post-processing in the way of the full matrix capture (FMC) and is suitable for ultrasonic non-destructive testing of coarse-grained materials with high acoustic attenuation. In this paper, a TFM C-scan testing method based on the phase coherence factor (PCF) denoising is proposed. The C-scan imaging results of the coarse-grained GH4169 specimen verify the denoising effectiveness of the proposed method. Compared with the TFM of the annular array, the PCF can improve the signal-to-noise ratio of the flat bottom hole defect by up to 14.99 dB.
Quantitative detection of composite defects based on infrared technology and FA-LSTM
Authors: Luo Gui , Wang Xinyang , Zhu Jianmin , Zhou Yuqi 
Published: May 2024

Abstract
Given the difficulties in obtaining the defect data of composite materials and the low accuracy of defect size detection, this paper proposes a quantitative defect detection method for composite materials based on infrared technology and a firefly algorithm (FA)-optimized long short-term memory (LSTM) network. First, composite plates with different defects were periodically heated and photographed using a specific heat source and infrared camera to obtain the maximum surface temperature difference and the best detection time data of the composite plates. Then, the maximum temperature difference and the best detection time of each cycle of the material plate are weighted averages, and a vector model containing the defect feature information is established. Next, the optimal number of hidden neurons and the learning rate are obtained by the FA optimization of the LSTM model parameters. Finally, the eigenvector model is input into the FA-LSTM for fitting and outputting the defect diameter and depth to realize the quantitative detection of material plate defects. The experimental results show that the FA-LSTM can accurately identify the defect diameter and depth of the material plate, with an average relative error of only 2.59%.
Research for transformer operation state prediction method based on BO-CNN-GRU
Authors: Zhou Mingjie , Xu Jing , Xing Chaojian , Li Yankai , Liu Shuxin 
Published: May 2024

Abstract
In the realm of electrical engineering, this study introduces a novel approach for forecasting transformer operational conditions by leveraging BO-CNN-GRU (Bayesian Optimized Convolutional Neural Network Gated Loop Unit). The initial step involves an in-depth analysis of the key parameters that significantly impact the operational performance of the transformer. Then, the comprehensive weights of each characteristic parameter of the transformer are obtained by the G1 method, entropy weight method, and CRITIC method, and the comprehensive state data of the transformer is obtained. Finally, BO (Bayesian optimization) and CNN (convolutional neural network) are used to optimize the GRU neural network to form a comprehensive prediction model of the future operation state for the transformer based on BO-CNN-GRU. Employing transformer operation status data, we develop a unified neural network model to forecast the forthcoming operation statuses of transformers. This model can more accurately and faster predict the future status of transformers. By analyzing specific cases, it has been determined that the predictive model’s average accuracy in forecasting transformer operational status one month ahead is at an impressive 98.44%, which can accurately predict the future state changes of transformers.
Study on gamma spectrum measurement of high-dose-rate radiation
Authors: Zhou Huanyin , Xu Feiyan , Xie Yanhui , Lu Zhanzhan , Wu Feifei , Hu Huanting 
Published: May 2024

Abstract
Currently, spectrometers are almost used for spectrum measuring of low-dose-rate radiation. Therefore, the sensitive volume of the spectrometer detector is usually big, and the width of the nuclear pulse is often wide. The pulse throughput of the spectrometer does not have to be very high. However, if a nuclear accident or a nuclear burst occurs, the dose rate will be high. When we measure the spectrum of the radiation, pulses output from the spectrometer detector will pile up seriously. The current spectrometer cannot meet the needs of high-dose-rate radiation energy spectrum measurement. To solve the problem of spectrum measuring of high-dose-rate radiation, in this paper, a solution of measuring the gamma spectrum of high-dose-rate radiation is put forward, and many measures are taken, such as lessening the detector volume, detector shielding, narrowing down the nuclear pulse width, pulse anti-pileup, and increasing the pulse throughput of the multi-channel analyzer through FPGA parallel processing. Analysis design and experiment show that the gamma spectrum of high-dose-rate radiation can be measured through these measures.
Preprocessing method for digital X-Ray weld images
Authors: Xie Cheng , Liu Jun , Wang Yao , Dong Shaohua , Xu Qingqing , Liu Jiayue 
Published: May 2024

Abstract
Pipelines represent the main mode of transportation for oil and gas, and failure caused by weld defects is the primary cause of accidents, presenting significant risks to personal and environmental safety. Therefore, regularly inspecting pipeline welds is essential for reducing accidents, ensuring personal safety, protecting the environment, and achieving sustainable development. Although manual photographic X-ray inspection is widely utilized for the detection of weld defects in various industries, this process is challenging since X-ray images are noisy and unclear, with uneven grey values. This study proposed a noise reduction framework by introducing a Wiener filter into the wavelet domain to reduce noise in X-ray images while minimizing information loss. Furthermore, a comprehensive evaluation factor that combined contrast and the noise reduction level was proposed to reduce the dependence of image processing performance on wavelet thresholds. Additionally, this study improved the Laplace method by adaptively adjusting the normal and tangential diffusion coefficients to enhance the weld X-ray image contrast without increasing the noise. Through qualitative comparison and quantitative analysis, it has been determined that the suggested methods exhibit better properties than alternative industrial pipeline weld X-ray image processing algorithms. This superiority is observed in objective values as well as subjective visualizations.
Auto-disturbance rejection fault-tolerant control of quadrotor based on adaptive observer
Authors: Ren Ruixuan 
Published: May 2024

Abstract
To solve the problem of fault diagnosis and adjustment of the quadrotor actuator, a model of the quadrotor vehicle system is established by using the Newton-Euler method considering the unmodeled uncertainty of the system. A fault diagnosis observer with an adaptive threshold is designed to isolate the fault and estimate the fault amplitude. By using the compensation function to improve the extended state observer, an improved active disturbance rejection control system with high order feedback is constructed to improve the robustness and security of the system. Numerical simulation results show that the proposed method is feasible.
Weak faults diagnosis of traction motor bearings based on SR-MED-EEMD method
Authors: Liu Yumei , Hu Ting , Hao Zixu 
Published: May 2024

Abstract
Rolling bearings play a crucial role in ensuring the security and reliable operation of high-speed trains (HST) as a vital component of their traction system. In response to the difficulty in extracting early fault features of high-speed train traction motor bearings under strong background noise, a method based on sparse representation (SR), minimum entropy deconvolution (MED), and ensemble empirical mode decomposition (EEMD) is proposed. The method reduces the dimensionality of complex signals through SR and then filters the sparse signals through MED to improve the fault signal pulse amplitude. The processed signals are decomposed by using EEMD to remove noise components, further improving the peak signal-to-noise ratio of fault characteristic frequency. The method’s efficacy in detecting faults within rolling bearings has been confirmed through simulation experiments and demonstrated its high precision.
Research on fault diagnosis method of the hydraulic system based on digital twin
Authors: Sun Jishuo , Yang Yousheng , Shi Lin , Yang Jiaxuan , Feng Fuzhou 
Published: May 2024

Abstract
As an advanced technology, digital-twin (DT) is an effective method to achieve information fusion and has been widely applied in fault diagnosis (FD). An integrated model, which consists of the DT model, consistency model, and FD network, is developed to detect faults in hydraulic systems (HS) by the dual effective information communication between the virtual model and real system. The consistency between the model and the real system can be guaranteed with the consistency model. A large number of labeled datasets generated by the DT model are used to train the FD network, which results in a significant reduction in the uncertainty of model parameters. A case study is done to investigate the performance of the DT method and the results show that the method can diagnose faults of HS effectively, efficiently, and accurately.
A novel indoor precise positioning method based on RSS and AOA hybrid measurements
Authors: Wang Yiting , Fu Jingqi , Wu Zetai 
Published: May 2024

Abstract
The growing demand for indoor positioning services has made high-precision positioning methods a key area of research. This paper presents a positioning method that addresses the limited accuracy of Single received signal strength (RSS) positioning methods by combining RSS and angle of arrival (AOA) measurements. Taylor expansion is employed to transform the nonlinear maximum likelihood (ML) optimization model, resulting in a linear matrix equation. We propose two indoor target position estimation methods: linear least squares (LLS) and distance-weighted least squares (D-WLLS). Lastly, an experimental platform is constructed in a real indoor environment to validate the effectiveness of the proposed method.
Research on fault type identification method for electrical equipment based on MFCC-CNN
Authors: Wang Chao , Zheng Haotian , Yin Qing , Yi Xin 
Published: May 2024

Abstract
As a critical component of the power system, the secure and reliable functioning of electrical equipment is the key to ensuring the dependability of energy supply. In this article, a fault type identification method based on Mel-Frequency Cepstral Coefficients-based Convolutional Neural Networks (MFCC-CNN) for electrical equipment was proposed. Firstly, the reasons for the sound generated by electrical equipment during the operation were analyzed. Then the MFCC coefficient of sound features was extracted by collecting and processing the faulty sound of electrical equipment. Finally, a CNN model was established to train and recognize sound signals. This method combines the recognition and classification of sound with deep learning (DL), which can significantly improve the efficiency of fault diagnosis.
Low-voltage and high-penetration distributed photovoltaic access control technology based on intelligent measurement
Authors: Wang Yinglong , Guo Yongjiang 
Published: May 2024

Abstract
This project takes high-penetration distributed photovoltaic access as the background and studies the control method for low voltage and high penetration distributed photovoltaic access. Firstly, by analyzing the measured data of the low-voltage distribution network, the daily load and measured values of the low-voltage distribution network were obtained. On this basis, the topology structure of a high-penetration distributed photovoltaic grid-connected system is studied, and the voltage, current, power, and other parameters of the grid-connected system are obtained. A low-voltage and high-penetration distributed photovoltaic grid-connected control method based on a genetic algorithm is adopted. Experiments have shown that the maximum allowable capacity of this scheme is smaller than the standard value and can effectively suppress voltage fluctuations. The experimental results show that the system has good grid connection performance, which is of great significance for improving the operational stability and efficiency of low-voltage distribution systems.
The comparative egg physical characteristics from four poultry species
Authors: Kostaman T , Tribudi Y A , Azizah N , Kusumaningrum D A , Adiati U , Pamungkas F A , Hafid A , Matitaputty P R , Gunawan M , Koswara E , Miraya N , Sopian E 
Published: May 2024

Abstract
In this study, we examined the physical characteristics of two local breeds (Cemani chicken and Mojosari putih duck) and two imported breeds (White Leghorn chicken and Peking duck). A total of 280 eggs were tested. Egg physical characteristics and hatchability were analyzed using ANOVA with consideration for breed effects using GLM (SPSS version 25). Peking ducks have a heavier, larger mean of geometric diameter, larger volumes, and larger surface area of eggs (p<0.05). Among them, the Cemani chicken is the smallest in the world (p<0.05). Cemani chicken and Mojosari putih ducks had the highest sphericity and shape index scores, and were significantly different from White Leghorn chickens and Peking ducks (p<0.05). Density parameters were highest in Cemani chickens as well as in White Leghorn chickens, but were significantly different from Peking ducks and Mojosari putih ducks (p<0.05). Hatchability was related to the shape index value. Mojosari putih ducks and Cemani chickens have a higher shape index than White Leghorn chickens and Peking ducks. In summary, the Peking duck was better, but the hatchability was higher for the Mojosari putih duck and Cemani chicken.
Recovery ability of sperm after freezing of pasundan bull semen
Authors: Pamungkas F A , Wulandari V , Darussalam I , Widaningsih R , Hadi D N , Kusumaningrum D A , Adiati U , Muttaqin Z , Maulana T , Santoso  , Solihati N , Arrazy A F , Koswara E , Asepriyadi  
Published: May 2024

Abstract
The purpose of this study is to look at Pasundan bulls’ sperm-freezing capacity for recovery. Three bulls’ sperm were collected using an artificial vagina. According to the normal operating protocols of the Center for Artificial Insemination Breeding and Development of Beef Cattle, Ciamis, West Java, fresh semen with sperm motility of 70% was frozen using a tris egg yolk extender. Evaluations of the percentage of motility, viability, and plasma membrane integrity were done under fresh, equilibrium, and post-thawing conditions to determine sperm destruction and the capacity of sperm to recover in each phase. Using the statistical package SPSS Version 25 application, descriptive statistics were used to examine all of the data. The findings indicated that the percentages of motility, viability, and plasma membrane integrity decreased during the freezing procedure. The motility, viability, and plasma membrane integrity of pasundan bovine semen recovered at rates of 64.29, 78.97, and 63.13%, respectively, following the freezing procedure. Based on recovery rates, it is demonstrated that pasundan bull semen has strong resistance and successful survival rates throughout the freezing procedure.
Evaluation productivity of the integration model goat-chicken and horticulture
Authors: Maranatha G , Nalle A A , Yunus M , Samba F D , Amalo D 
Published: May 2024

Abstract
Farming systems in rural conditions in the dry land areas of East Nusa Tenggara are still carried out traditionally and cultivation is monoculture, causing low land use efficiency to increase income, therefore crop-livestock integration is a solution for carrying out farming activities by combining agricultural-livestock business activities in one farming activities. This study aims to evaluate the daily weight gain of goats and broiler chickens strains CP 707, the production of horticultural crops long beans (Vigna unguiculata), the production of fresh forage ingredients for animal feed from the application of the goat-chicken-horticulture integration model. This research was conducted on an area of 150 m2/1.5 acres, which was planted with horticultural crops and odot grass (Pennisetum purpureum cv. Mott) and used 4 etawa cross-breed goats consisting of 3 female goats, 1 male goat and 25 chickens which were reared in one staged cage with an area of 9 m2 which was carried out in an integrated manner. The data obtained were tabulated and analyzed descriptively to summarize and describe the data through the average value and standard deviation. Based on the results of these studies, the average body weight gain of goats was 50.00±8.29 gram/head/day, chicken body weight gain was 23.45±2.43 gram/head/day, horticultural crops long beans production was 34.5±7.0 kg/acres, fresh forage production was obtained. 147.015±1.45 kg/acres. The conclusion from this study is that the use of the goat-chicken-horticulture integration model can be applied by farmer-breeders because it does not interfere with the productivity of each commodity.
Morphometry and in vitro fertility of epididymal sperm in swamp buffalo (Bubalus bubalis)
Authors: Jaswandi  , Udin Z , Harissatria  , Ananda  
Published: May 2024

Abstract
This research aimed to describe the morphometric and in vitro fertility of epididymal sperm in swamp buffalo (Bubalus bubalis). Three buffalo testes were obtained from the abattoir, and sperm were collected from the cauda epididymis. Morphometric and characteristics of epididymal sperm were analyzed under a phase contrast microscope, and the fertility of epididymal sperm was evaluated by assessing their ability to fertilize mature oocytes. The morphometric values for sperm head length, sperm head width, tail length, ellipticity, and elongation were 8.39±1.18 µm, 4.06±0.44 µm, 2.01±0.33, 0.33±0.07, 45.40±12.06 µm, and 72.40±12.06 µm, respectively. The mean percentages of live sperm, motility, membrane plasma integrity, and intact membrane plasma were 83.40±2.94, 76.67±5.77, 11.07±0.11, and 62.78±2.51%, respectively. The fertility of epididymal sperm was 44.50%. In conclusion, epididymal sperm have the potency to fertilize oocytes.
Polymorphisms of the Leptin gene in Jabres cattle
Authors: Prihandini P W , Sari A P Z N L , Tribudi Y A , Robba D K , Wibowo T B 
Published: May 2024

Abstract
Many genes, including the leptin gene, control growth performance. Polymorphism or SNPs variant within the gene could change its expression in phenotypes. This study aimed to identify the SNP and haplotype variation of the leptin gene in Jabres cattle (n = 47 head). The SNPs variant was detected using the BioEdit version 7.0 program by sequence alignment. The HaploView program analyzed the haplotype pattern created from the SNP variants. As a result, 20 SNPs were found within the partial sequence of the leptin gene. Only 3 SNPs are located in the coding sequence (CDS) region, SNP g. 12215T>C, g.12237C>T, and g.12238G>A. For the haplotype analysis, we used only SNPs with HW p-value cutoff and minimum minor allele frequency (MAF) higher than 0.05 (Jabres = 12 SNPs). The result showed a distinctive haplotype pattern of SNPs. All the blocks of LD plot in Jabres cattle showed a high linked disequilibrium (LD) (R2 > 0.33, LOD > 2) except for the block containing SNP g.12238G>A (R2 < 0.33, LOD < 2). In conclusion, the polymorphism and haplotype pattern found in this study could be used for further association analysis to the phenotypes, and its utilization could be used as an effective marker selection tool.
Morphometric Analysis to Study the Genetic Diversity of the Gayo Horse as Animal Genetic Resources in Aceh
Authors: Sari E M , Abdullah M A N , Ammar M , Azim M 
Published: May 2024

Abstract
This study aimed to analyze the morphometric diversity of the Gayo Horse as the germplasm of native Indonesian horses in accordance with the Decree of the Minister of Agriculture of the Republic of Indonesia No.1054/Kpts/SR.120/10/2014 in order to obtain standardized data on the size of the Gayo horse morphometrics which are also part of the conservation and preservation effort of the Gayo horse as a local horse genetic resources. The research was conducted in Central Aceh, Bener Meriah. and Gayo Lues Regency on 87 male Gayo Horses. The sampling technique used was purposive sampling and the collected data were then analyzed using descriptive statistical analysis. Based on the results of the study, male Gayo horses had an average (cm) body length of 102.96 ± 29.69, body height of 113.62 ± 3.53, chest circumference of 136.92 ± 7.07, hip witdh of 37.14 ± 7.77 and scrotal circumference of 24.4±5.56.
The level of reproductive hormones of Boer goats based on type of birth: triplets and singles
Authors: Kartika N M A , Fitriyah A , Harmayani R , Mariani Y , Fajri N A , Jamili A , Isyaturriyadhah  
Published: May 2024

Abstract
Boer goats are one of the animals imported from other countries, with various advantages compared to other species. Therefore, this study aimed to determine the differences between Blood FSH and LH levels of Boer goats based on type of birth, namely triplets and single. The sample population consist of 8, which were equally divided into 2 groups, including triplets (12) and singletons (4) (as a control). The parameters measured were performance of quantitatives, blood sampling, and Blood FSH and LH levels. FSH and LH levels were examined at the Immunobiology Laboratory, Mataram University, and the data obtained were analyzed using a t-test. The results showed that birth type of triplets (BK) of Boer goats had lower production performance in terms of morphometric size when compared to their single-birth counterparts (BT). However, triplets birthing category had elevated FSH and LH levels (mlU/ml) within the blood. The comparative levels were FSH = 3.612±0.06 (BK) vs 3.531±0.09 (BT) and LH = 3.493±0.27 (BK) vs 3.371±0.20 (BT). A postive correlation surfaces between FSH and LH levels in the blood and the quantitative performance of goats. In conclusion, the study establishes that goats harboring the potential to give birth to triplets can be discerned through their quantitative performance and levels of FSH and LH.