Статьи журнала - Современные инновации, системы и технологии
Все статьи: 77
Analysis of full-factorial experiments on improving the cotton gin
Статья
The article presents the results of full-factorial experiments of an improved cotton-cleaning unit based on the use of grates of different diameters and multifaceted grates located in the optimal sequence. Graphs of dependences of parameters are constructed, optimal values are determined.
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Статья
The article presents the results of increasing the efficiency of cleaning raw cotton based on the use of improving the design of the cotton cleaning unit. In the zone of cleaning raw cotton from small weeds, a peg drum with different diameters of the pegs was used. Experimental studies have determined the optimal value of the diameters of the peg drum pegs.
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Blockchain Based Intelligent Transport System
Статья
Blockchain technology is widely studied in these days and has vital role in the ITS and Vehicular network. Intelligent Transport System (ITS) have resolved several issues of transportation like congestion, electronic toll collection, traffic light cameras, traffic updates, and environment forecasting. The vehicular network is the ever-increasing network it is not only facilitates us but also brings new challenges with it. The mobile nature of vehicular networks it is very important to collect and broadcast information of traffic events in real-time. A little delay to broadcast important information or deciding on this information can cause a serious situation in the mobile vehicular network. Moreover, malicious vehicles in the network broadcasting false information about these traffic events cause a disturbance in the network. In large-scale scenarios, the transmission of malicious messages offers a lot of danger to the system. They can wrongly claim the roads and provide false information about the incident. These traffic events can be life-threatening and cause unwanted situations like accidents, wastage of time and other resources. Therefore, it is very much important to provide real-time information on recent traffic events and real-time authentication of vehicles that broadcast information in the network. Traditional studies are unable to solve these security issues and contain a single point of failure issue. These studies are centralized and dependent on a single higher authority. Moreover, they have serious security concerns that are harmful for vehicular network. Moreover, any vehicles are unwilling to share their private information while broadcasting information about traffic events because they are strangers to each other. And if a vehicle does not want to share its private information like name, id, etc. It is not possible to authenticate this vehicle and manage trust in the network. It means that it is very crucial to prevent vehicles to broadcast wrong information in the network while preserving their privacy at the same time. Therefore, there is a need to authenticate vehicles and manage trust in the network while preserving their privacy simultaneously. Blockchain can offer better solution to solve these issues due to its secure distributed environment and features that ensure immutability about actions. The purpose of this report is to provide real-time security and privacy in the network. It is also ensured that vehicles get real-time authenticated information about traffic incidents from legitimate vehicles while simultaneously preserving their privacy. It means that only authenticated and legitimate entities (vehicles) can participate in vehicular network and privacy of both sender and receiver is secured in the network. Details of conducted experiments are given, and shreds of evidence are provided to evaluate the performance of architectures for authentication and trust management. The shreds of evidence show that these blockchain-based systems can solve security and trust issues more effectively.
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Changes in the quality indicators of shirt fabrics with different fiber compositions
Статья
The quality of textile fabrics is evaluated by physical, mechanical, consumer and hygienic properties. The durability of a fabric is also characterized by its resistance to abrasion. In turn, this durability and breathability of the fabric depends on many important factors, such as the strength of the yarn, the type of fiber, the composition of the yarn and its linear density, the density and thickness of the fabric, the thickness of the fabric, and so on. The abrasion resistance and breathability of a fabric largely depend on its structural characteristics, i.e., the degree of bending and the density of the warp and purl threads. This degree of bending is determined by the area of one or another part of the product and the purl thread. This area is the reference surface of the tissue. In this article, a comparison of the quality indicators of shirt fabrics with twill weave from 100% polyester fiber and 100% cotton shirt fabrics with twill weave, as well as changes in their properties of breathability, wrinkle resistance, abrasion resistance, was studied.
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Effect of fiber composition on the physical and mechanical properties of shirt fabrics
Статья
This article shows ways to increase wear resistance and improve the quality of fabric by studying its structural parameters. To achieve this goal, research was carried out on the structure and physical and mechanical properties of fabrics, expanding the range and improving the quality of shirt fabrics. It is shown that the change in the quality of the fabric, i.e., strength and elongation at break, depends primarily on the number and density of fibers in the fabric, as well as on its thickness. Thus, the denser the fabric, the higher its strength, abrasion resistance and lower breathability. In addition, the fiber content of fabrics is of great importance, since the strength of some chemical fibers is higher than that of natural fibers, especially cotton fibers.
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Further exploration of deep aggregation for shadow detection
Статья
Shadow detection is a fundamental challenge in the field of computer vision. It requires the network to understand the global semantics and local details of the image. All existing methods depend on the aggregation of the features of a multi-stage pre-trained convolution neural network, but in comparison to high-level capabilities, low-level capabilities provide less detection performance. Using low-level features not only increases the complexity of the network but also reduces its time efficiency. In this article, we propose a new shadow detector that only uses high-level features and explores the complementary information between adjacent feature layers. Experiments show that the technique in this paper can accurately detect shadows and perform well compared with the most advanced methods. The detailed experiments performed on three public shadow detection datasets, SUB, UCF, and ISTD, we demonstrate that the suggested method is efficient for detecting any sort of shadow image, which provides the maximum percentage of accuracy and stability
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Improved plant parenchyma extraction technology using artificial intelligence algorithms
Статья
The previous studies have described the extraction of plant parenchyma by computer image processing technology, and the purpose of this paper is to verify the effectiveness of the algorithm., this paper implements the algorithm by using Matlab language, and designs several groups of experiments. The experimental results show that: when denoising, using 9*9 as a template to perform median filtering on the image has a better effect, and block binarization facilitates the extraction of axial parenchyma; when processing mathematical morphology, using 3*3 Axial parenchyma and vessel morphology can be successfully extracted from cross-sectional images of broad-leaved wood after dilation of the image by cross-shaped structuring elements and erosion of images by disc-shaped structuring elements with radii ranging from 1 to 10 When calculating the area threshold of the closed area, the area threshold is determined by using 8 domains to mark the area of the closed area and using the area histogram, so that the axial parenchyma can be better separated from the catheter. At present, the method has been experimented in 10 different tree species, all of which have achieved good results. This also fully proves the effectiveness of the artificial intelligence algorithm. The implementation of the algorithm also lays the foundation for future research on intelligent wood recognition based on axial thin-walled tissue morphology; it provides a shortcut to measure the content of axial thin-walled tissue in different tree species; and it is a prelude to the development of an image-based wood recognition system for axial thin-walled tissue.
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Intellectualization of information processing systems for monitoring complex objects and systems
Статья
Creating intelligent information processing systems for monitoring complex technical objects and systems is an important task today. This paper presents the principles and models for creating systems of this class. The decision-making process in intelligent information-measuring monitoring systems is described. The article presents a model of intelligent monitoring system and a model of decision-making in intelligent monitoring systems. The presented model of decision-making in intelligent monitoring systems allows estimating the efficiency of their functioning. The article proposes a structural scheme reflecting the sequence of decision-making tasks.
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Investigation of working bodies of cotton cleaning machine
Статья
The article included information on how to improve the working bodies of the machine for cleaning raw cotton, including large waste mixtures waste disposal sites. Based on the analysis of the design of cotton ginning machines and working bodies, a new effective design scheme of cotton gin from large contaminants was developed. The recommended multi-faceted columns are characterized by good cleaning of cotton waste and maintenance of fiber quality.
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On the calculation of a model of a three-dimensional turbulent diffusion plume
Статья
In this paper a three-dimensional model of diffusion combustion is presented in the case of the outflow of a combustible gas mixture from a rectangular nozzle and propagating in a heated (with a passing) air flow. For the three-dimensional case, the transformation of the multicomponent concentration equation is described in detail using the conservative Schwab-Zeldovich function with respect to excess concentrations, which reduces the number of diffusion equations to one for a four-component mixture. It is assumed that on the surface of the flame front, the flows of the oxidizer and fuel must satisfy the condition of stoichiometric equality of the consumed and formed substances at the flame front are equal to zero. The three-dimensional system of Navier-Stokes equations is used to describe the flow. To calculate the turbulent viscosity, an algebraic model is used that takes into account the three-dimensionality and temperature inhomogeneity of the jet. A number of numerical results are given as the influence of the initial value of the velocity of the combustible mixture on the flame parameters. During diffusion combustion of a propane-butane mixture. It was found that an increase in fuel velocity does not always lead to an increase in the maximum temperature at the flame front, with other parameters unchanged.
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Projective Capital Asset Pricing Model
Статья
This paper is interested in exploring the capabilities and limitations of investment decision making under uncertainty through the lens of Quantum Probabilities/formalism stand and will be focusing on the Capital Asset Pricing Model as use case. Our main purpose is to examine the historical and structural foundations surrounding decision making paradoxes. To ease the comprehension of the issue to the common reader, we first outline key cornerstones of investment decision making under the two competing conceptual frameworks, expected utility and mean-variance. We review then the axiomatic justifications of the mean-variance and set the comparison with the Expected utility generally. That's when the analogy with quantum probabilities arises. This comes from the fact that decision making process seems to be more likely to be presented in terms of amplitudes. Thus, here the quantum probabilities refer to a calculus of quantum states and not of probabilities. In the final section, we present the capital asset pricing model to understand the appeal of the usage of Mean variance over Expected utility in the financial theory, and how we can remediate to this approach once decisions are depicted in terms of quantum probability amplitudes. Several extensions of the rational decision-making theory using classical probability formulations emerged depending on the actual empirical findings, trying to explain such paradoxes and improve the existing framework decision making theory. These simplifying assumptions were seeking to generate the probabilistic measures assumptions without linearity or to make State-independent probabilistic estimates as well as agents’ possessing firm assumptions in the generalized utility theory loosened. While these trials helped to discuss the pitfalls of the classical probabilities in some decision-making situations, it failed to give a harmonized expected utility theoretical model. An established theory to consider is the prospect theory by Kahneman and Tversky which encompasses the human biases and heuristic. Indeed, its attributes make this theory likely to be extended to a general framework of the decision-making theory by using quantum probabilities as the mathematical scope.
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Статья
In the article results of studying specific structurally-mechanical properties new developed sizing compositions on the basis of сorn starch and water-soluble synthetic polymeric preparations such as K-4 and uniflock made in Company "Navoiazot" are given. It is established that, introduction in starch pastes acrylates leads to increase coefficient of thixotropic restoration, i.e. to increase of speed relaxation processes.
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Статья
This study proposed an intelligent algorithm based on digital image processing and character recognition to address the current situation in which the National Medical Products Administration promulgated the relevant regulations on the complete prohibition of the use of mercury sphygmomanometers in 2020 and the currently widely used electronic sphygmomanometers need to undergo regular verification and quality testing. The intelligent algorithm made it possible to automatically acquire the electronic sphygmomanometer indication value during quality assurance or verification. The images of the electronic sphygmomanometer were captured using a Raspberry Pi-connected video camera head; in the software development, automatic detection of the electronic sphygmomanometer's indication value was achieved by running the computer vision-based OpenCV library on the Raspberry Pi and utilizing image preprocessing techniques like scale transformation, grayscale conversion, Gaussian smoothing and edge detection, and character segmentation. The development of intelligent devices for the automatic verification of electronic sphygmomanometers has a technical foundation in the research and design of the digital recognition algorithm, and it has a certain reference value for character recognition of electronic instruments or the creation of automatic instrument indication value recording devices.
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Статья
В рамках данной работы предложена модель хранения эксплуатационной информации коллекторно-лучевой системы сбора продукции Оренбургского газоконденсатного месторождения для ее управления. Особенностью предлагаемой модели является ее представление как графодинамической системы с возможностью хранения эксплуатационных характеристик скважин, входящих в ее состав, и истории модернизаций основных элементов конструкции. Использование единой модели для описания эксплуатационной информации различных систем сбора позволяет минимизировать вероятность появления ошибок в эксплуатационных данных за счет ограничений, определенных моделью, и повысить скорость их обработки. Все перечисленное реализует возможность синтеза эффективных управленческих решений при эксплуатации систем сбора, следствием последнего является продление сроков эксплуатации месторождения и минимизация эксплуатационных расходов. Также предложенная модель может быть использована при реализации системы поддержки-принятия решений для коллекторно-лучевых систем сбора продукции.
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Анализ возможностей волоконотделения в существующих параметрах профиля зубьев дисковой пилы
Статья
В данной статье показаны способности захвата хлопкового волокна профилями зубьев пильного диска. Определены рабочие параметры между зубьями. Изучен процесс ударного воздействия семян хлопчатника на зубья пилы и определена закономерность действия силы удара на зуб пилы и показатели жесткости оболочки семян.
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Статья
С развитием железнодорожной индустрии, информатизацией общества и автоматизацией многих технологических процессов, появляется возможность создания системы автоматического управления, диагностики и безопасности движения локомотива. Одной из важнейших систем данного комплекса является система обнаружения объектов на железнодорожных путях, разрывов железнодорожного полотна и его поворотов. Подобная система может быть разработана в виде камеры, установленной на локомотиве, и систем обработки информации, находящихся на борту каждого подвижного состава, или глобальной системы осуществляющего удаленную обработку информации с нескольких локомотивов. Независимо от реализации системы существует необходимость создания блока обнаружения объектов на изображениях, приходящих с камер. Реализация данного блока возможна с использованием взаимодействующих между собой полносверточной и сверточных нейронных сетей и обучении на наборе данных, покрывающем различные ситуации, происходящие на железнодорожной полосе.
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Анализ работоспособности линтерной машины с новой конструкцией междупильной прокладки
Статья
В статье предложена новая конструкция междупильной прокладки, позволяющей снизить массу пильного цилиндра линтерной машины до 1.5 кг. Приведены результаты экспериментальных исследований в производственных условиях новой конструкции модернизированной междупильной прокладки линтерной машины 5ЛП. Установлены основные технологические показатели линтерной машины 5ЛП с новой конструкцией прокладки при линтеровании опушенных семян и пильных дисков. В результате промышленных испытаний стальной прокладки линтерной машины 5ЛП установлено, что стальные прокладки отвечают требованиям технологического процесса линтерования. Кроме того, установлена производительность по семенам хлопка 550 кг/час, потребляемая мощность пильного цилиндра - 10.8 кВт, ожидаемая годовая экономическая эффективность для одной линтерной машины марки 5ЛП составляет 4.312 тыс. сум
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Верификация математической модели технологического процесса индукционной пайки
Статья
Работа посвящена исследованию построения и верификации математической модели процесса нагрева элементов тонкостенного алюминиевого волноводного тракта при отработке технологической процедуры индукционной пайки. В статье проводится обзор метода математического моделирования технологического процесса индукционной пайки. Проведены сравнительные исследования моделей индукционной пайки волноводных трактов на предмет их соответствия реальному процессу в допустимых пределах. Выполнена экспериментальная проверка корректности выбранной математической модели технологического процесса индукционной пайки. В результате натурных и модельных экспериментов установлено, что реализованная математическая модель индукционного нагрева элементов сборки тонкостенных алюминиевых волноводных трактов космических летательных аппаратов с достаточно высокой степенью точности моделируют данный технологический процесс.
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Влияние свойств сырья на качество изделия
Статья
Целью данной статьи является изучение методов определения и прогнозирования драпируемости ткани. Драпируемость – одно из основных эстетических свойств ткани, которое необходимо учитывать при проектировании тканей с заданными свойствами, получая швейные изделия нужной формы и обеспечивая их эффективное производства. Анализ литературы выявил ряд результатов опытных способов образования драпируемости и необходимость учета новых сведений о характерных способах формирования складок и сборок. Проанализированы показатели производства текущих объемов шелковых и смешанных тканей, выбираемых для одежды, а также представлены результаты экспериментальных исследований.
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Влияния ультразвуковых волн на характеристики детектора излучения
Статья
В работе приведены результаты исследования полевых зависимостей потерь заряда кремниевых диффузионных детекторов, которые позволяют идентифицировать одиночные атомы и их скопления, выступающие в роли центров захвата носителей заряда. В электрических полях Е > 1470 В/cм происходит эффективное уменьшение процессов захвата, что проявляется в виде спрямления полевых зависимостей потерь заряда и в сужении спектральных линий. Воздействия – ультразвуковое поле интенсивностью I* = 0,4 Вт/cм2 и частотой f = 15 MГц, на образцы в течение времени t £ 45 минут, приводит к росту амплитуды сигнала. Установлено, что ультразвуковое воздействие приводит к уменьшению потери заряда, времени дрейфа и улучшению энергетического разрешения детекторов. Также следует отметить, что флуктуации рельефа примеси в объеме Si-p-типа сглаживаются после прохождения через него ультразвуковых волн малой мощности в течение длительного времени, о чем свидетельствует значительное уменьшение эффективного размера локальных скоплений дефектов.
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