bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of aerodynamic coefficients of wing in ground effect vehicle using machine learning technologies
Authors: Февральских А.В. , Машкевич И.К. , Лучков А.Н. , Грамузов Е.М. 
Published: June 2023

Определение аэродинамических характеристик компоновочных вариантов экранопланов на стадии предварительного проектирования является весьма ресурсоемким процессом. Подходы к определению аэродинамических характеристик экраноплана можно классифицировать по двум категориям: на основе экспериментальных исследований и с использованием методов математического моделирования. Данная работа посвящена исследованию возможностей подхода к определению аэродинамических характеристик проектируемого экраноплана на основе связанного применения методов численного моделирования аэродинамики и машинного обучения. В работе построена математическая модель, с использованием которой возможно прогнозирование значений коэффициента подъемной силы и коэффициента сопротивления крыла в зависимости от формы крыла в плане, варианта исполнения законцовки и параметров установки крыла. Результаты апробации разработанной математической модели показывают удовлетворительное согласование с опорными данными. Представляется, что разработка представленной математической модели может способствовать повышению эффективности процесса проектирования экранопланов.
Determining the aerodynamic characteristics of aircraft (LA) layout options at the preliminary design stage is a very resource-intensive process. Approaches to determining the aerodynamic characteristics of an aircraft can be classified into two categories: based on experimental studies and using mathematical modeling This work is devoted to the study of the possibilities of an approach to determining the aerodynamic characteristics of an aircraft based on the associated application of numerical aerodynamic modeling and machine learning methods. A mathematical model has been built in the work, using which it is possible to predict the values ​​of the lift coefficient and the drag coefficient of the wing, depending on the shape of the wing in plan, the variant of the wingtip and the installation parameters of the wing. The results of approbation of the developed mathematical model show a satisfactory agreement with the reference data. It seems that the development of similar models can improve the efficiency of the design process and the quality of design solutions.
Refinement of the normative analytical calculations method of storage capacity for the bulk port terminals
Authors: Кузнецов А.Л. , Кириченко А.В. , Купцов Н.В. , Сампиев А.М. 
Published: June 2023

Одной из самых спорных и плохо объяснимых формул, содержащихся в нормах технологического проектирования морских торговых портов, является формула расчёта объёма склада насыпного груза. В данной работе предпринята попытка интерпретировать эту формулу, а также внести в неё необходимые исправления. Для определения вместимости складской зоны идентифицированы методики вычислений, использующие средние значения (формула Уилсона, выведенная в рамках статьи формула-интерпретация норм технологического проектирования) и экстремумы максимальных значений (формула из норм технологического проектирования морских портов). Предлагается расширить расчётную методику, основанную на использовании этой формулы, для получения более адекватных оценок важнейшего инфраструктурного параметров - объёма склада морского перегрузочного комплекса. Целесообразно продолжить исследования об оптимальном размере склада на навалочных терминалах, в том числе используя накопленный эксплуатационных опыт и фактическую статистику терминалов (сроки и высота хранения угля, эксплуатационная производительность погрузки в суда, вместимости судов и др.).
One of the most controversial and poorly explained formulas contained in the norms of technological design of commercial seaports is the formula for calculating the volume of a bulk cargo warehouse. In this paper, an attempt is made to interpret this formula, as well as to make the necessary corrections to it. To determine the capacity of the storage area, calculation methods are identified that use average values (Wilson's formula, the formula-interpretation of technological norms derived within the framework of this paper) and extreme values of maximum values (formula from the technological norms of seaports). It is proposed to expand the calculation method based on the use of this formula in order to obtain more adequate estimates of the most important infrastructure parameters - the volume of the warehouse of the marine terminals. It is advisable to continue research on the optimal size of the warehouse at bulk terminals, including using the accumulated operational experience and actual statistics of the terminals (duration and height of coal storage, operational performance of ship loading, ship capacities, etc.).
Reducing the installation error in assessing the labor intensity of production processes in shipbuilding
Authors: Герман Г.В. , Ляховский Е.Е. , Резник Б.Л. 
Published: June 2023

Проблема получения достоверных оценок показателей производства в судостроении, основополагающим из которых является показатель трудоёмкости, обусловлена требованиями системного подхода и особенностями производства больших технических систем – судов. Разнообразие методологических и методических подходов, номенклатура конструктивно-технологических параметров, используемых в настоящее время для получения оценок трудоёмкости, приводит к появлению значительных систематических и случайных погрешностей. Потребность создания многоуровневой взаимосвязанной системы дискретных оценок показателей трудоёмкости, снижение погрешности оценок - актуальная задача, решение которой позволяет планировать и достоверно прогнозировать развитие судостроительного производства адекватно условиям выполнения работ. В статье изложены дополнительные подходы при разработке моделей оценки трудоёмкости, обеспечивающие достоверность, низкую установочную систематическую погрешность, возможность получения оценок, начиная с ранних этапов технической подготовки производства и включая выполнение работ.
The problem of obtaining reliable estimates of production indicators in shipbuilding, the fundamental of which is the indicator of labor intensity, is due to the requirements of a systematic approach and the specifics of the production of large technical systems - ships. A variety of methodological and methodological approaches, the range of design and technological parameters currently used to obtain estimates of labor intensity, leads to the appearance of significant systematic and random errors. The need to create a multi-level interconnected system of discrete estimates of labor intensity indicators, reducing the error of estimates is an urgent task, the solution of which allows planning and reliably predicting the development of shipbuilding production adequately to the conditions of work. The article presents additional approaches to the development of models for estimating labor intensity, providing reliability, low installation systematic error, the possibility of obtaining estimates, starting from the early stages of technical preparation of production and including the execution of work.
Calculation method of the flow induced by a disk of infinite radius rotates in a mass forces field
Authors: Яковлев А.Ю. 
Published: June 2023

Одной из классических задач гидромеханики является задача Кармана о течении жидкости, вызываемом вращением в ней диска бесконечного радиуса. В настоящее время известны расширенные постановки данной задачи с учетом специфических свойств жидкости и ее поведения на границах потока. В данной работе рассмотрена задача Кармана в случае действия в жидкости массовых сил произвольной природы. Метод расчета этого течения предполагает задание в качестве исходных данных распределения массовых сил вдоль оси вращения диска. Задача решается в осесимметричной постановке, при этом распределение характеристик течения по радиусу определяется аналогично задаче Кармана. Особенностями разработанного метода являются переход к новой переменной, что позволило решать систему уравнений на конечном интервале, а так же применение метода математического программирования для решения краевой задачи. Разработанный метод был оттестирован на примерах классической задачи Кармана, и ее расширенной постановки Бэтчелора, в которой присутствует закрутка потока на бесконечности. Показана высокая точность получаемого решения. Метод был применен для нахождения решения в условиях действия массовых сил вблизи поверхности диска.
One of the classical hydromechanics problems is the Karman problem about the flow caused by the rotation of infinite radius disk in a fluid. Currently, extended formulations of this problem are known, taking into account the specific properties of the fluid and its behavior at the flow boundaries. In this paper, the Karman problem is considered in the case of the mass forces of arbitrary nature acting in a liquid. The calculation method of this flow assumes specifying the distribution of mass forces along the axis of disk rotation as initial data. The problem is solved in an axisymmetric formulation. Flow characteristics distribution along the radius determines similar to the Karman problem. The features of the developed method are the transition to a new variable, as well as the use of a mathematical programming method to solve a boundary value problem. The new variable made it possible to solving a system of equations on a finite interval. The developed method was tested by the classical Karman and Batchelor problems. The Batchelor problem is an extended formulation of Karman problem, in which there is a twist of the flow at infinity. The high accuracy of the obtained solution is shown. The method was applied to find a solution under the conditions of the mass forces action near the disk surface.
Analisis Pengaruh Pertumbuhan Penduduk Terhadap Pertumbuhan Ekonomi Di Kabupaten Agam Tahun 2010 - 2021
Authors: Fitri Wulandari  , Elvi Zuriyani  , Nila Afryansih  
Published: June 2023

This study aims to obtain data, process, and analyze the results of increasing the number of people with economic progress in Agam Regency in 2010 - 2020 can be seen from: 1) population growth in Agam Regency in 2010 - 2020. 2) Agam economic development in 2010 - 2020 3) the effect of population growth on economic progress in Agam Regency in 2010-2020. The type of research used in this research is descriptive quantitative research which is a quantitative research in the form of a description with numbers or numeric. The sample in this study is total sampling where all data are taken from population growth and economic growth in Agam district. The results obtained from this study: 1) from the last 10 years there has been a fluctuation in the population growth of Agam Regency. 2) Agam Regency's economic growth has increased and decreased where the highest economic growth was in 2012 as much as 6.18% and the lowest was in 2020 with a figure of -1.38%. 3) the increase in population has a significant positive impact on economic growth in Agam Regency.
Comparison Analysis of Brain Image Classification Based on Thresholding Segmentation With Convolutional Neural Network
Authors: Muis Alwas , Sunardi Sunardi , Yudhana Anton 
Published: June 2023

Brain tumor is one of the most fatal diseases that can afflict anyone regardless of gender or age necessitating prompt and accurate treatment as well as early discovery of symptoms. Brain tumors can be identified using Magnetic Resonance Imaging (MRI) to detect abnormal tissue or cell development in the brain and surrounding the brain. Biopsy is another option, but it takes approximately 10 to 15 days after the inspection, so technology is required to classify the image. The goal of this study is to conduct a comparative analysis of the greatest accuracy value attained while classifying using segmentation with thresholding versus segmentation without thresholding on the CNN method. Images are assigned threshold values of 150, 100, and 50. The dataset consists of 7023 MRI scans of four types of brain tumors: glioma, notumor, meningioma, and pituitary. Without utilising thresholding segmentation, the classification yielded the highest degree of accuracy, 92%. At the threshold of 100, classification by segmentation received the highest score of 88%. This demonstrates that thresholding segmentation during CNN model preprocessing is less effective for brain image classification
Failure Investigation of Blank Holder Force (BHF) Control in The Outside Bracket For Front Seat
Authors: Romansyah Rofan Yulian , Budiarto Hanif Azis , Erlangga Yuliar Yasin , Safrudin Yunita Nugrahaini 
Published: June 2023

This study investigated the failure of the Blank Holder Force (BHF) control in the outside bracket for the front seat. The production process involved progressive dies consisting of nine stations: first pierce, first trim, second trim, idle, flange, idle, second pierce, idle, and parting. However, at the 7th-9th station, the pilot hole in the product deforms into an oval shape, which is undesirable. Gemba-Kaizen methods were used in this study, and primary data were collected by comparing the design and actual progressive dies. The results showed that product defects are primarily caused by an unbalanced BHF and inadequate piercing clearance. A uniform distribution of force during the forming process is obtained by reducing the spring number on the blank holder. This reduces the force generated during the process. Furthermore, the die clearance was increased from 0.01 mm to 0.1 mm, making press and die alignment less critical and requiring less cutting and stripping forces
Modelo interactivo Educalim para fortalecer las competencias en la asignatura de fundamentos de programación de los estudiantes del primer semestre de la universidad UPSE
Authors: Tumbaco Reyes Alfredo Ramón , Miranda Torres Eva Julianna , Veintimilla Lucín Hugo César , Julia Mercedes Karina Reyes Quimis  
Published: June 2023

El trabajo de investigación tiene como finalidad promover un modelo interactivo de enseñanza aprendizaje en la asignatura de Fundamento de programación lenguaje C++ mediante la plataforma digital Educalim para estudiantes de primer semestre de la Facultad de Telecomunicaciones de la Universidad Upse del Cantón La Libertad, considerando una muestra de 60 estudiantes de la institución de educación superior. Se aplicó un estudio de investigación descriptiva, con un enfoque práctico y técnicas de recolección de datos, en las que se usaron instrumentos como: observación, y encuesta. La fundamentación teórica se sustenta en los antecedentes establecidos por Areces, (2017) y Aros, (2018) que analizaron las dificultades del aprendizaje de las matemáticas, la doctrina docente, la enseñanza tradicionalista en los procesos de enseñanza y las causas que traen consigo estas prácticas en la actualidad; por otro lado Caizaluisa, (2018) y Bolaños, (2020) promueven desde entonces el uso de los recursos educativos digitales como mejora a la enseñanza aprendizaje del lenguaje de programación. Estos antecedentes permitieron plantear una encuesta de satisfacción a los estudiantes con la finalidad de obtener información oportuna sobre la realidad de los procesos educativos en la institución, se tabulan datos y se genera una propuesta a corto plazo en que se da uso a recursos educativos digitales como: videos tutoriales, Moodle, plataformas virtuales; que aportan significativamente al aprendizaje del estudiante.
Identificación de los factores de la deserción académica en el sistema educativo del ecuador
Authors: Loaiza Maldonado. Diego Junior , García Neira. Israel Antonio , Romero Ambi. Jessica Paola , Diaz Triviño. María de Lourdes , Ronquillo Cabezas Pablo Santiago . 
Published: June 2023

El proceso fundamental del estudio es identificar los factores que inciden en la deserción académica del sistema educativo del Ecuador, por medio del análisis de la información de las diferentes instituciones educativa. El tipo de estudio se enmarca en el enfoque cuantitativo, por lo cual, el diseño de la investigación fue no experimental, de corte descriptivo de carácter longitudinal, para el análisis de la información empírica se tomó en cuenta las bases de datos del Instituto Nacional de Estadística y Censo del Ecuador, sobre la encuesta del sistema educativo a nivel nacional; cada base de datos fue segmentada según el sexo, área geográfica, régimen escolar y jurisdicción. Respecto a la unidad observacional temporal (2010 a 2021). Los resultados muestran que la tasa de deserción escolar en el Ecuador tuvo un aumento entre el periodo 2010 al 2012 y luego comenzó a disminuir. También se observó una diferencia por género, donde las mujeres experimentaron un aumento inicial, pero luego una disminución, mientras que los hombres experimentaron un aumento inicial más pronunciado. Además, la brecha entre el área urbana y rural en cuanto a la tasa de abandono escolar no ha sido significativa en los últimos 12 años analizados. Aunque se han registrado algunos cambios, la brecha nunca superó el 1%. El abandono escolar en el Ecuador es un problema complejo que involucra una variedad de factores. Si bien las dificultades económicas parecen ser el factor más significativo que contribuye al abandono escolar, la falta de acceso a la educación, el bajo rendimiento académico, los problemas familiares y de salud.
Sistem Informasi Pendataan Prestasi Mahasiswa untuk Pendataan Prestasi Mahasiswa Departemen Sistem Informasi Menggunakan Metode UAT Dengan Framework Pieces
Authors: Apri Wenando Febby , Pratama Santi Rahmatika , Ramadhani Putri Salsabila , Nur Irsyad Lathif 
Published: June 2023

Sistem Informasi Pendataan Prestasi Mahasiswa merupakan aplikasi berbasis elektronik yang dirancang mempunyai database sehingga ketika pengguna membutuhkan data bisa secara real time tersedia. Langkah menerapkan Pendataan Prestasi Mahasiswa sebagai usaha memberikan pelayanan kepada mahasiswa dalam menciptakan sistem yang sangat membantu mahasiswa dalam menyimpan dan mendata prestasi yang mereka punya secara terorganisir dan aman. Penelitian ini bertujuan menghasilkan produk teknologi informatika untuk mendukung tema-tema utama riset sesuai Rencana Induk Penelitian Universitas Andalas Produk yang dihasilkan berupa aplikasi sistem informasi untuk inovasi pada teknologi dan industri khususnya untuk meningkatkan efektifitas dan kemajuan kampus Unand. sistem ini berpotensi untuk memberikan dampak positif bagi mahasiswa yang selama ini masih mempunyai segudang prestasi tetapi belum terdata dengan baik, serta diharapkan akan memudahkan penggunanya untuk mengupdate data mereka sendiri tanpa perlu harus dikumpulkan dulu berupa hardcopy dan bukti pendukung, cukup dengan mereka mengupload data prestasi mereka sendiri dari rumah dan dimanapun bisa diakses karena sistem ini berbasis website. Agar nantinya bisa dijadikan sebagai curriculum vitae yang valid dalam bentuk SKPI (Surat Keterangan Pendamping Ijazah) bagi mahasiswa.
Diagnostic Segmentation Based on Kidney Medical Image
Authors: Shixuemei  , Mideth Abisado  
Published: June 2023

Lesion segmentation of medical images is an important component of smart medicine. The development of deep learning technology is followed by rapid advancement in lesion segmentation technology of medical images. Though the present segmentation technology can retain spatial features, insufficient spatial features are retained with low segmentation accuracy. Our proposed PST-UNet model combines transformer with U-shaped structure and better infuses encoder's multi-scale features by using convolution fusion module. PST-UNet model adopts two types of block Swin transform at encoder and decoder ends respectively. Renal lesion data tends to present a normal distribution. Therefore, to preserve more spatial features and enhance the precision of renal lesion segmentation, Swin transformer block and full GELU (Gaussian Error Linear Unit) activation function are introduced at the encoder end. Similarly, at the decoder end, Swin transformer block, full GELU activation function, up-sampling and jumper wires from the convolution fusion module are also introduced.
Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network
Authors: Jiang Guang-Jun , Li De-Zhi , Feng Ke , Li Yongbo , Zheng Jinde , Ni Qing , Li He 
Published: June 2023

Fault diagnosis technology has been widely applied and is an important part of ensuring the safe operation of mechanical equipment. In response to the problem of frequent faults in rolling bearings, this paper designs a rolling bearing fault diagnosis method based on Convolutional Capsule Network (CCN). More specifically, the original vibration signal is converted into a two-dimensional time-frequency image using continuous wavelet transform (CWT), and the feature extraction is performed on the two-dimensional time-frequency image using the convolution layer at the front end of the network, and the extracted features are input into the capsule network. The capsule network converts the extracted features into vector neurons, and the dynamic routing algorithm is used to achieve feature transfer and output the results of fault diagnosis. Two different datasets are used to compare with other traditional deep learning models to verify the fault diagnosis capability of the method. The results show that the convolutional capsule network has good diagnostic capability under different working conditions, even in the presence of noise and insufficient samples, compared to other models. This method contributes to the safe and reliable operation of mechanical equipment and is suitable for other rotating scenarios.
OH Emission Among Mira Variables in Color–Magnitude and Period–Magnitude Diagrams
Authors: Smith Graeme H. , Wu Tian 
Published: June 2023

Abstract
Infrared absolute-magnitude versus color diagrams have been derived for long-period Mira variables with and without OH-maser emission through the use of Gaia DR3 parallaxes and two samples of stars drawn from the literature. The OH-emitting Miras are mostly consistent with (J − K

s
) > 1.4, an average absolute K

s
magnitude of around −7.6, and pulsation periods greater than 316 days.
A new species of Papiliomyces (Clavicipiteae, Hypocreales) from China
Authors: Zhang Yan , Wen TingChi , Xiao Yuanpin , Yang Yu , Peng Xingcan 
Published: June 2023

Papiliomyces (Hypocreales, Sordariomycetes) was introduced to accommodate two species: Papiliomyces liangshanensis and Papiliomyces shibinensis. Later, Papiliomyces liangshanensis was renamed Ophiocordyceps liangshanensis. However, the Papiliomyces liangshanensis molecular data (Nepalese) used to establish the Papiliomyces genus was different from Ophiocordyceps liangshanensis (China) strains.
This paper describes a new species, Papiliomyces longiclavatus, found in Yangchang District, Guiyang City, Guizhou Province, China. It is proposed, based on morphology and multilocus phylogeny (ITS, SSU, LSU, TEF1, RPB1 and RPB2). The new species is phylogenetically most closely related to Papiliomyces liangshanensis (Nepalese collections). However, Papiliomyces liangshanensis (Nepalese collections) requires morphological details and additional detection. The new species differs from other Papiliomyces species in having robust stroma with completely immersed perithecia, multi-septate ascospores, cylindrical secondary ascospores, two types of phialides and two types of conidia:longer α-conidia and longer β-conidia.