bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image Search System Based on Machine Learning
Authors: Wang HongLin 
Published: January 2022

Abstract
Since the 21st century, with the continuous maturity of network technology and its integration with the education field, traditional face-to-face communication has gradually expanded to the virtual network environment. In the online learning environment, students can use the online platform to communicate directly with teachers, no longer limited by time and region. The time and space breakthrough of teacher-student interaction has brought development opportunities for teachers to constantly contact students with a long-term management mechanism. Based on this situation, this article uses artificial intelligence technology to build a network communication platform. This article first analyzes the application status of artificial intelligence technology in the network communication platform, and then introduces the artificial intelligence technology applied in this article. Then, this article uses artificial intelligence technology to design a network communication platform, and test the function and performance of the platform. The test results show that the function of the system is very accurate and reliable, and the performance of the system is sufficient to support nearly 10,000 users at the same time.
Digital Print Synthesis Based on Image Processing and Interactive Technology
Authors: Sun Lijun 
Published: January 2022

Abstract
Fire is a common disaster, which causes major threats and losses to human life and property. Countries around the world have been committed to the study of the mechanism and internal mechanism of fires, with the goal of preventing fires from occurring and minimizing the losses caused by fires. Among the many methods, fire detection technology is an effective method to prevent and reduce the occurrence of fire. This article focuses on the research of the fire detection system based on artificial intelligence technology, improves the accuracy of the fire detection system by introducing artificial intelligence technology into the fire detection system, and uses experiments to verify the error rate of the artificial intelligence technology fire detection system. The experimental results show that the system’s detection of fire is not very different from the actual situation, and the error rate is within 10%. Then compared with the traditional detection system, the detection performance is relatively high, and the error rate can be reduced by one time.
Periodic Pattern Detection of Printed Fabric Based on Deep Learning Algorithm
Authors: Xiang Zhong , Shen Yujia , Cheng Zhitao , Ma Miao , Lin Feng 
Published: January 2022

Abstract
Printed fabric patterns contain multiple repeat pattern primitives, which have a significant impact on fabric pattern design in the textile industry. The pattern primitive is often composed of multiple elements, such as color, form, and texture structure. Therefore, the more pattern elements it contains, the more complex the primitive is. In order to segment fabric primitives, this paper proposes a novel convolutional neural network (CNN) method with spatial pyramid pooling module as a feature extractor, which enables to learn the pattern feature information and determine whether the printed fabric has periodic pattern primitives. Furthermore, by choosing pair of activation peaks in a filter, a set of displacement vectors can be calculated. The activation peaks that are most accordant with the optimum displacement vector contribute to pick out the final size of primitives. The results show that the method with the powerful feature extraction capabilities of the CNN can segment the periodic pattern primitives of complex printed fabrics. Compared with the traditional algorithm, the proposed method has higher segmentation accuracy and adaptability.
Dispersion Dynamics of Clustered Particles by Centrifugal Force
Authors: Feng Tiancong 
Published: January 2022

Abstract
In this paper an approach is proposed to solve the problem of aggregation in nanomaterials through the mean of rotational separation aiming to quickly disperse clustered nanoparticles while not affecting their purity. If it is possible, this approach may replace the current mean of mechanical mixing, which may cause impurities issues. The hypothesis is that the centrifugal force due to rotational velocity acting on the nanoparticles can overcome the cohesive force between the nanoparticles, therefore dispersing the clustered nanoparticles. The experimental mean is to put different spheres connected by different types of glues imitating different nanoparticle clusters into centrifuges imitating the swivel plate. The results from both the theoretical model and the experiment show that for a cluster with a cohesive force of 1.75N, a rotational velocity of about 800rad./s is required to disperse the cluster. While for a cluster with a cohesive force of 0.25N and the same mass and position, a rotational velocity of about 150 rad./s is required to disperse the cluster. Except for the cohesive force, the mass and position of the nanoparticle on the swivel plate also have a large effect on the required rotational velocity. The observation of the physical mechanism of the dispersion has also shown that while using this way, the cluster is dispersed slowly with small parts separated from it. Therefore, this way can also eliminate re-clustering problems of nanoparticles.
Study on Correlation of Physical and Mechanical Properties Indexex of Cohesive Soil in Hilly and Plain Region along the Yangtze River in Anhui Province
Authors: Wu Daoxiang , Ye Lei , Zhao Huahong , Wu Leilei , Guo Jiacheng , Ji Bin 
Published: January 2022

Abstract
In this paper, a large number of geotechnical engineering survey data are collected in hilly and plain region along the Yangtze River in Anhui Province. Based on the statistical analysis and calculation of the experimental data of physical and mechanical properties of cohesive soils (the main quaternary soil layers in the area), the correlation between the liquidity index and water content and other physical and mechanical properties indexes are analyzed, and the fitting regression is carried out respectively. The results show that the liquidity index (IL)) and water content (w) are highly correlated with cohesion (C), compression modulus (Es), compression coefficient (α), natural density (ρ), void ratio (e), and the regression equations have high goodness of fit and good fitting effect; In addition, the fitting regression equations of water content, void ratio and natural density are compared with the theoretical calculation formula, it is found that the calculation results are close, which proves that the fitting regression equations are reliable and can be used in engineering practice.
Study on Seismic Performance of UHV Transformer Based on Soil-structure Interaction
Authors: Xue Yaodong , Cheng Yongfeng , Lu Zhicheng , Zhu Zhubing , Wang Haibo , Liu Zhenliu , Zhang Shujun 
Published: January 2022

Abstract
At present, the seismic performance of UHV transformers is mostly studied without considering the interaction between soil and superstructure. In practical engineering, the transformer is installed on the foundation slab buried in the soil. Under the action of earthquake, the interaction between the soil and the structure changes the earthquake response of the upper electrical structure. In order to study the influence of the interaction between soil and structure on the seismic performance of the transformer, the shaking table test method of simulated earthquake is used, and the shaking table test of UHV transformer with scale ratio of 1:4 is carried out in class I field conditions. The dynamic characteristics of the equipment and the seismic response of the bushing under different test conditions are obtained respectively. The test results show that when the peak acceleration is 1.2g, the acceleration response at each measuring point on the box is 1.63-1.92 times that when the peak acceleration is 0.4g. With the increase of seismic peak acceleration, the acceleration and strain increase of high voltage bushing are greater than that of medium and low voltage bushing, which has a great influence on the seismic response of high voltage bushing. The research conclusion can provide reference for substation engineering design.
Experimental Study on Creep of Sandstone under Hydrochemical Corrosion
Authors: Hu Jiangchun , Sun Luge , Feng He , Liu Zhipeng , Wang Qin 
Published: January 2022

Abstract
Corrosion creep of sandstone has great influence on the safety and stability of geotechnical engineering, and it is of great significance to study the creep characteristics of sandstone under the action of hydrochemical corrosion for the long-term stability of geotechnical engineering. Through creep test of corroded rock, the characteristics of rock deformation and strength are analyzed. Combined with electrochemical impedance spectroscopy (EIS), the microcracks of corroded sandstone during creep process are detected, and the variation law of equivalent circuit parameters and the development trend of microcracks during creep process of corroded sandstone are analyzed. The test results show that the creep characteristics of rock samples are related to the hydrochemical environment; The medium-and long-term strength of the solution with high pH value is relatively small, and the difference with uniaxial compressive strength is large; Moreover, there is a certain correlation between creep of rock samples and equivalent circuit parameters. In this paper, the influence of creep deformation, mechanical properties and hydrochemical environment on sandstone creep is analyzed, and the research results can provide reference for stability analysis of related geotechnical engineering.
FLUENT Simulation Design and Optimization of Biological Aerated Filter
Authors: Wang Shuqin , Zhang Zhiqiang , Wang Ning , Zhao Wenqi , Yuan Chungang 
Published: January 2022

Abstract
In this paper, a small biological aerated filter for experimental use was designed, and a method was explored to optimize the nitrogen removal efficiency by using FLUENT software to simulate the particle size of the filler, the amount of the filler, the initial concentration of ammonia nitrogen, dissolved oxygen and other operating parameters. Through the simulation experiment, the optimal design parameters of the particle size of filler, the amount of filler, the initial concentration of ammonia nitrogen and the dissolved oxygen of the biological aerated filter are 4mm, 60%, 15% and 1.5%, respectively, when the removal efficiency of ammonia nitrogen exceeds 30% reported in the literature. It provides a reference for the experimental research and practical application of biological aerated filter (BAF) denitrification.
Seismic Finite Element Analysis of Lightning Arrester Combination by Casing and Pillar Insulator
Authors: Zhang Xiaojun , Liu Zhenlin 
Published: January 2022

Abstract
The seismic performance of electrical equipment in substations has a great impact on the normal operation of the whole substation. The results of the modal analysis show that the fundamental frequency of the three devices is in the range of 0.9Hz∼1.1Hz. The maximum stress of the casing for the three devices is respectively 55.43MPa, 45.39MPa, 35.26MPa, when the peak acceleration 0.4g seismic action is verified. The maximum stress of insulator is respectively 47.01MPa, 62.72MPa and 30.85MPa, and the maximum relative displacement of the top for the equipment is 617.2mm.
Joint Inversion of Rayleigh and Love Dispersion Curves Extracted from Ambient Seismic Noise Based on Secular Function
Authors: Gong Feng , Chen Xiaofei , Fan Youhua , Liu Xuefeng , Tang Haibing 
Published: January 2022

AbstractTraditional multi-mode dispersion curve inversion requires correct mode discrimination. However, when the stratum contains complex structures such as low-speed soft interlayer or high-speed hard interlayer, the dispersion curve may show phenomena such as “mode kissing” and “mode jumping”, which can easily cause mode misjudgment and lead to erroneous inversion results. Based on the “secular function”, this paper constructs a new type of objective function applied to the inversion of dispersion curve. This objective function does not require prior mode discrimination, which effectively solves the “mode misjudgment” problem of multi-mode dispersion curve inversion. The joint inversion of Rayleigh and Love dispersion curves extracted from ambient seismic noise is used to improve the constraint of the inversion and avoid the inversion falling into a local minimum in the case of a large-scale search of parameters. Finally, a numerical simulation was performed to verify the feasibility of the new inversion method.
Stress Analysis of Vertical Bar Additional Connector at the Joint of Fabricated Shear Wall
Authors: Jiang Haowen , Zhang Yueguo , Fan Handuo , Liu Qikai , Du Linghang 
Published: January 2022

Abstract
Although there are many mainstream reinforcement connection methods, the realization of force transfer between reinforcement is the starting point of all connections and the most important inspection standard. Aiming at the vertical connection of the fabricated shear wall, this paper proposes a new type of additional connector connection, and two fabricated shear walls connected by new types of additional connectors and a cast-in-situ shear wall were established. The dimensions and material parameters of the fabricated shear wall connected by the new additional connector were the same as those of the cast-in-situ shear wall. The finite element software ABAQUS is used to perform static finite element analysis on fabricated shear walls and cast-in-situ shear walls connected by new additional connectors. By comparing the static finite element simulation results, the results show that the new additional connector can ensure the effective force transfer of reinforcement.
Cell lysis analysis for respiratory viruses through simulation modeling
Authors: Cuesta-Herrera L , Pastenes L , Córdova-Lepe F , Arencibia A D , Torres-Mantilla H A 
Published: January 2022

AbstractAn ordinary system of differential equations leading to a simulation model is propose as methodological approach to analysis the incidence of infectious-contagious diseases, in this case using SARS-CoV-2 virus as pathogenic model. The dynamics of the model are drive by the interaction between susceptible cells contemplating respiratory epithelial cells and viral infection mediated by two types of lysis response. To perform the simulations, values of some variables and parameters were selected from referenced sources, considering that previous reports suggested that the viral load in the lower respiratory tract might reach its peak in the second week after the beginning of disease symptoms. The scenarios described in the simulations evidence the performance of the cell lysis response from susceptible cells that have been infected. The recommend model shows that an excess response from both the original virus and the mutated virus leads to an increase in the approximate time to control viral infection within the organism.
Analysis of the mechanical behavior of adobe walls without reinforcement through computational modelling
Authors: Ospina Henao P A , Oñate Ballesteros R D , Peñaranda Vega J S 
Published: January 2022

Abstract
The construction of civil structures on land has played an important role for centuries, however, due to the seismic requirements and the minimum safety standards that are currently required for any structure, this type of construction has been lagged, it is denoted that the related regulations they are widely dispersed and in most cases. In developed countries, numerous technical and legal problems arise to carry out construction with these materials. In relation to this work, a set of models of raw earth type walls are presented, through the SAP 2000 software, having as a supply of the mechanical properties of this material the Peruvian regulation E.080. For the analysis of these models, a static linear analysis for finite elements and a stress analysis of the service limit state concept were studied. Finally, the models with their respective stress studies, management and design recommendations are presented under the criteria of the analyses carried out, leaving open the possibility of both carrying out an experimental phase to develop the analogy with the postulates and proposed results, as well as such as the option to perform a static pressure analysis by finite elements in order to achieve greater precision and calibration of the model with respect to what can be evidenced in laboratory tests.
Solution of Navier-Stokes equations for fluids with magnetorheological compensation used in structures with energy dissipaters
Authors: Medina N Balaguera , Atuesta M A , Nieto O A , Ospina Henao P A 
Published: January 2022

Abstract
The fixed-wall rectangular cavity flow problem is a classic problem that has been studied since the beginning of computational fluid mechanics. The present work aims to provide a numerical and computational solution of the Navier-Stokes equations using the finite difference method, applied to model the problem of a magnetorheological fluid in a rectangular cavity with a fixed wall in shock absorbers devices, used in civil structures that use energy dissipators.
Training action for physics teachers: an application of problem-based learning
Authors: Prada Nuñez R , Hernández-Suarez C A , Gamboa Suarez A A 
Published: January 2022

Abstract
The teaching of problem-based learning is a didactic approach that requires a radical change in the role of the physics teacher because it is focused on learning, research, and reflection that students follow to reach a solution to a problem situation as a starting point for the acquisition and integration of knowledge in science. The results of a training action for physics teachers on the implementation, their perceptions, and perspectives on the feasibility of the problem-based Learning approach are presented. The study is quasi-experimental in nature with pre-test and post-test in the study variables. The results suggest that the teachers’ perceptions are positive, which is why they consider that its implementation in teaching is viable, however, they need more elements that facilitate their execution in the classroom, such as understanding the theoretical foundations and their pedagogical use successful in the classroom. It is concluded that, for the physics teaching process, problem-based learning is an innovation because it allows the student to learn actively, in which inquiry is relevant for the development of skills and appropriation of knowledge, which in the framework of natural sciences leads to the reconstruction of the scientific method.
Dynamics of plankton biocenoses under water level fluctuations in steppe lakes
Authors: Yu Afonina E , Tashlykova N A 
Published: January 2022

Abstract
Barun-Torey and Zun-Torey lakes are located in the arid steppe zone of the Central (Inner) Asia, Eastern Siberia, Russia. The Torey lakes are characterizes unstable hydrological regime. The water level variation is explained by the periodic filling and drying of the lakes due to cyclical climatic changes in humidity and temperature. We conducted our studies various water level phases of the climatic cycle: from high water level (1999, 2003) to drying out and the initial filling phase (2007, 2011, 2014, 2016, 2018, and 2020). The aim of this paper is to present long-term research results on changes in the plankton biocenoses of the Torey lakes during a climate cycle, the drying and initial filling of basins. Succession of plankton dominant species is in the direction of: diatoms+green algae and rotifers+crustaceans → green algae and crustaceans → green algae+cyanobacteria and crustaceans → no planktonic algae and invertebrates → cyanobacteria+diatoms+green algae and rotifers+cladocerans+copepods.
Monitoring of hunting resources: population-based approach
Authors: Agafonov G M 
Published: January 2022

Abstract
It is recognized that the objects of the hunting economy are populations of game animals. However, there is no term “population” in current Russian legislation, the undefined expression “hunting resources” is used instead. The monitoring of the hunting resources status is currently limited by regulatory documents only to the analysis of materials based on the winter route census (WRC). This is insufficient to establish the nature of population dynamics, acquire knowledge about population cycles in different populations, and collect the data on the qualitative composition of populations and their changes over time. For hunting providers, simple methods of collecting and processing material on the qualitative composition of populations are offered. They can be carried out both during the hunting season and during the purchase of products from hunters. Systematic observations and analysis of the obtained materials will allow accumulating knowledge about a specific exploited population. Hunting providers should use different methods of registration of hunting animals to monitor exploited populations. To control registration, state game wardens can use the WRC. The state control should proceed from the confidence in the results of the registration work of hunting providers since they are those interested in the long-term use of hunting resources.
New data on some high-altitude protected insect species in northern Transbaikalia
Authors: Bazhenov Yu A 
Published: January 2022

Abstract
The paper presents data on registration of two regionally protected insects in the north of Zabaykalsky krai. Observations were made in summer 2019-2021 in Kalarsky district of Zabaykalsky krai on the Ridges Udokan and Kodar. Parnassius eversmanni and Parnassius phoebus are characteristic and common species of high alpine meadows of the study area, especially at the Kodar Ridge between the Apsat and Sredny Sakukan Rivers. This area is not part of the Kodar National Park and requires attention for conservation of rich high altitude ecosystems that include the studied insect species.
Changing parameters of waters chemical composition in the Lake Arakhley water column (Eastern Transbaikalia)
Authors: Chechel L P 
Published: January 2022

Abstract
The need to preserve the quality of water resources under conditions of anthropogenic impact is one of the most urgent problems of our time. The purpose of this work was to study the features of the distribution of the parameters of the chemical composition of the waters of Lake Arakhley in a vertical section. The investigated waters are characterised by a constancy of mineralisation and chemical composition, both within the water area and in the vertical section. The waters are ultra-fresh (salinity less than 200 mg / L), neutral and slightly alkaline (average pH 7.9), HCO3 Mg-Ca chemical composition. The carbon dioxide content in the water column has a significant impact on the concentration of hydrogen ions, as evidenced by the inverse relationship between pH and CO2 content. The observed increase in the nitrogen form and CO2 contents in the bottom part of the lake is most likely related to the life processes of organisms and vegetation. The recorded excess concentrations of Mn, Cu, Ni, and Al over maximum permissible concentrations indicate the need for additional studies to identify their sources.