American Journal of Applied Science and Technology

Amination Reactions Analysis For Selecting Optimal Methods In Synthesizing New Urea Derivatives

2025-10-19T22:22:59+00:00

This study delves into the amination processes involved in the synthesis of urea derivatives, focusing on the transformation of carbonyl intermediates and direct carbonylation methods while maintaining the integrity of the urea scaffold. It examines reaction mechanisms, combines empirical data with theoretical insights, and traces the progression from traditional phosgene-dependent techniques, such as COCl₂/amine reactions, to contemporary sustainable innovations like manganese-catalyzed dehydrogenative coupling and CO₂-amine condensations. Traditional approaches deliver 80-95% yields but suffer from toxicity and waste issues, whereas modern methods attain up to 98% selectivity under mild conditions with lower ecological footprints. Key challenges, including reagent toxicity and reaction pressures, are mitigated through flow reactors or recyclable catalysts. The research offers actionable guidance for choosing superior synthesis routes, prioritizing yield, selectivity, environmental compatibility, and by-product reduction, advocating for the synergy of CO₂ utilization and dehydrogenative methods in efficient, green organic synthesis.

Study Of Damageability Of War Threads According To The Threading Width Of The Sp-140 Warling Machine

2025-10-26T13:34:16+00:00

The aim of this work is to evaluate the stress-strain state of cotton yarn with a linear density of 25 tex on the warping machine SP-140, installed in the warping department of the preparatory workshop of the weaving production at the Textile Company Paxtakortex LLC.

From Reactive to Predictive: A Synthesis of Digital Technologies in Modern Vehicle Health Monitoring

2025-10-03T11:48:50+00:00

Purpose: The automotive industry is undergoing a paradigm shift from traditional, reactive maintenance schedules to proactive, data-driven health monitoring. This article synthesizes the current body of research on the digital technologies underpinning this transformation. It aims to provide a comprehensive overview of how On-Board Diagnostics (OBD), the Internet of Things (IoT), telematics, and Artificial Intelligence (AI) are converging to create integrated vehicle health inspection systems.

Methods: This study employs a systematic review and synthesis of 20 peer-reviewed articles published between 2018 and 2021. The selected literature focuses on key technological pillars, including predictive maintenance algorithms, telematics data utilization, IoT sensor integration, and AI-driven diagnostics. The analysis framework categorizes findings into three primary themes: foundational technologies, data analytics and intelligence, and practical applications and impacts.

Findings: The synthesis reveals a multi-layered technological ecosystem. Foundational technologies like OBD-II and advanced IoT sensors provide the raw data stream (1, 16, 19). This data is transmitted via telematics systems for analysis (3, 13, 15). The core of the digital shift lies in the application of AI, machine learning, and big data analytics to translate this data into actionable, predictive insights, enabling the anticipation of component failures before they occur (2, 4, 12, 20). Key applications include significant improvements in the efficiency and cost-effectiveness of fleet management (7, 14, 17) and enhanced safety and reliability for individual vehicle owners.

Conclusion: The integration of digital diagnostics represents a fundamental evolution in vehicle maintenance. While the potential for proactive and predictive health monitoring is substantial, significant challenges remain, particularly concerning data security (9), system standardization, and implementation costs. Future research should focus on refining predictive models, enhancing cybersecurity protocols, and developing scalable, cost-effective solutions to accelerate industry-wide adoption.

Influence Of Screw-Press Operating Parameters On The Mechanical Strength Of Briquetted Materials

2025-10-24T11:04:28+00:00

In this study, the effect of the pressing dynamics of a screw press on the mechanical strength of coal briquettes was investigated. The strength behaviour was examined under different ranges of the compressive force exerted by the screw. During the experiments, the following variables were selected as changing parameters: aqueous solutions of paraffin waste at concentrations of 5%, 7%, and 10%; aqueous solutions of distillery stillage (alcohol bard) at 10%, 15%, and 20%; binder liquid content of 10%, 11%, and 12%; nozzle diameters of 20, 25, and 30 mm; screw compressive forces of 1.8, 2.4, and 3 kN; and a working chamber diameter of 120 mm. The results revealed that when the nozzle diameter was Dₙ = 25 mm, the exponential curves on the strength–parameter graphs indicated that the briquettes prepared with a 15% aqueous mixture of distillery stillage and a 15% aqueous mixture of paraffin waste exhibited strength levels that met the required standards.

The Evaluation Of The Effectiveness Of Mobile Applications In The Prevention Of Pregnancy Complications

2025-10-29T07:22:34+00:00

With the rapid development of digital technologies, the healthcare sector has undergone a profound transformation. One of the most dynamic and promising innovations is the use of mobile health (mHealth) applications in maternal and prenatal care. These applications serve not only as communication tools between healthcare providers and pregnant women but also as platforms for education, self-monitoring, and emotional support. This article explores, in detail, the effectiveness of mobile applications in preventing pregnancy complications, with particular attention to their medical, psychological, and social dimensions. Moreover, it examines the global experience of using such technologies, their benefits and challenges, as well as the ethical considerations surrounding data security and accessibility. By analyzing recent studies and international initiatives, this article concludes that mobile applications, when properly designed and implemented, significantly contribute to safer pregnancies and healthier maternal outcomes worldwide.

Causes, Consequences, And Sustainable Solutions To Climate Change Today

2025-10-18T11:12:05+00:00

The article analyzes the main factors of global climate change observed since the 20th century, its impact on nature and human activity, as well as the possibilities of solving this problem in the areas of sustainable development. The main cause of climate change is the sharp increase in greenhouse gas emissions into the atmosphere as a result of human activity.

Integrative Approaches In Biochemistry Education

2025-10-26T10:07:44+00:00

This article provides a scientific analysis of the significance, theoretical, and practical aspects of integrative approaches in biochemistry education. Through integrative approaches, the relationship between biochemistry and other natural sciences—biology, chemistry, physics, and computer science—is explored. The article also demonstrates the advantages of integrative learning, its role in developing students' systems thinking, and the potential for effectively teaching biochemistry using modern technologies. As a result, integrative approaches are substantiated as an important factor in improving the quality of biochemistry education and broadening students' scientific worldview.

Synthesis Of Polyacetylene And Stabilization Of Polyvinyl Chloride With Polyacetylene

2025-10-22T13:39:19+00:00

The aim of the research was to investigate the comparative physicochemical properties of the synthesized cis-polyacetylene and the oxidized trans-derivative. During the process, the highest yield was achieved using a catalytic ratio of a Co(NO3)2:LiBH4 compound mixture at a ratio of 4:1 mol with a catalyst concentration of Vcatalizer=0.1%. The synthesis method employed T° solution =-5-0°C, with a slow introduction of pure HC≡CH over a period of t=1.5-2 hours. The reaction temperature was set at T°reaction = 55-40°C. The resulting product was filtered, and the unreacted acetylene and N-methylpyrrolidone were washed out using a solvent to eliminate the catalyst. Analysis of EPR spectra indicated a reduction in QPC from 4.7∙1017 spin/g to 3.15∙1016 spin/g. Utilizing a torsion balance, the kinetics of oxygen attachment to polyacetylene were examined at various temperatures (25, 75, 100, and 150 °C), revealing the highest oxygen content in polyacetylene by weight (up to 37%) within 15-18 hours. The polyacetylene, synthesized and incorporated into polyvinyl chloride, was used as a stabilizer. Addition of 1% polyacetylene to polyvinyl chloride augmented its thermal stability by 1.5 to 2 times. Its thermal stability was analyzed using thermogravimetric (TGA) and differential thermal analysis (DTA) within the range of 25-250°C through the Paulik devices. The main focus of this study was the synthesis of polyacetylene and the stabilization of polyvinyl chloride utilizing the obtained polyacetylene, while investigating the optimal conditions for this process. Employing Nmethylpyrrolidone as a highly selective solvent in polyacetylene synthesis resulted in a laboratory yield of up to 45.0%, while in an industrial setting at 0°C, it reached up to 38.0%.

Modeling And Optimization Of Kinematic Schemes Of Progressive Presses

2025-10-27T09:35:22+00:00

Progressive presses are widely used in mass production for sheet-metal forming, where precise and stable motion of the working mechanisms is critical to product quality and tool life. This study focuses on improving the performance of progressive presses through detailed kinematic modeling and optimization of their motion transmission systems. A dynamic model of the press mechanism was developed in the Solid Edge Motion environment and verified using MATLAB Simscape for multi-body simulation. The main optimization criteria were the minimization of velocity and acceleration fluctuations, uniform distribution of forming forces, and reduction of dynamic loads on connecting elements. The results demonstrated that optimized kinematic parameters reduce vibration amplitudes by up to 18% and improve stroke uniformity by approximately 12%, leading to enhanced stability and longer tool service life. The study also provides a parametric modeling framework that allows rapid modification of linkage geometry and motion profiles. The findings contribute to the design of energy-efficient and reliable progressive press systems applicable in modern automated manufacturing environments.

Angiogenesis In Acute Coronary Syndrome: Mechanisms And The Role Of Biomarkers

2025-10-17T16:52:57+00:00

The aim of the study was to identify the relationship between biomarkers of hypoxia, inflammation, and endothelial dysfunction in patients with acute coronary syndrome. The study included 62 male patients aged 24 to 50 years who were hospitalized for ACS.

Key markers associated with angiogenesis and hypoxia were studied: hypoxia-inducible factor-1 (HIF-1), vascular endothelial growth factor (VEGF), endothelin-1, von Willebrand factor, and xanthine oxidase activity. These biomarkers reflect the molecular mechanisms of angiogenesis and endothelial dysfunction.

Genetic Characteristics Of Athletes' Physical Training

2025-10-25T20:25:15+00:00

A fundamentally new system of medical and genetic support for physical culture and sports will raise it to a higher level. It cannot be denied that athletic ability is genetically determined. Molecular genetic analysis shows that individual differences in the level of development of physical qualities in athletes are mainly associated with DNA polymorphism. The process of training athletes in weightlifting will be more effective in the process of training athletes, weightlifters, taking into account adaptation, individual genotypic capabilities, as well as the relationship between load values and the growth of athletes' functional capabilities.

Classical And Eco-Technological Methods For Synthesizing Aromatic Carboxylic Acids: Applications And Economic Significance

2025-10-19T22:32:57+00:00

This article examines classical and eco-technological methods for synthesizing aromatic carboxylic acids, such as benzoic acid and its derivatives, which are pivotal in pharmaceuticals, materials science, and agrochemistry due to their versatile functional groups. Classical methods, including oxidation, hydrolysis, and carboxylation, offer high yields (80–95%) but often require harsh conditions, leading to increased waste and environmental concerns. Modern approaches, such as P(III)/P(V)-catalyzed conversions and palladium-catalyzed carbonylation, enhance efficiency and ecological sustainability by operating under milder conditions with reduced waste. The study analyzes the applications of derived products like esters, amides, and halogenated derivatives, highlighting their significance in industries ranging from food preservation to polymer production. By integrating empirical data and theoretical insights, the article provides practical recommendations for optimizing synthesis methods based on yield, selectivity, environmental impact, and economic efficiency, emphasizing the role of catalytic and eco-technological innovations in advancing organic synthesis.

General Characteristics Of Methods For Obtaining Nanomaterials In HSZ-Cationites During Ethyltertbutyl Synthesis

2025-10-27T09:07:56+00:00

In this work, the preparation, modification, and application of mesoporous zeolitic cationites with high sorption and catalytic properties for the synthesis of ethyl tert-butyl ether (ETBE) from an ethanol–isobutene mixture are presented. The acidity distribution (pKa = 0.8–6.4) and isothermal heat of ethanol adsorption were evaluated for sulfonic cation exchangers. Catalytic tests conducted in a continuous fixed-bed reactor (333–373 K; 0.6–1.2 MPa) showed that mesostructured resins such as Amberlite IR-120, Tulsion T-52H, and KU-2-8 exhibit high activity and selectivity, achieving up to 97–99% selectivity toward ETBE. In contrast, Amberlyst 15Dry/36Dry demonstrated lower efficiency due to their smaller mesopores. It was proven that transition pores with diameters greater than 100 Å, which facilitate mass transfer, along with a high concentration of strong Brønsted acid sites, are the decisive factors that increase conversion and selectivity.

Nanomaterials In Biochemistry And Medicine

2025-10-17T16:40:40+00:00

Nanomaterials represent a rapidly evolving field bridging chemistry, physics, and biology. Their unique physicochemical properties—such as high surface area, quantum effects, and tunable reactivity—make them ideal for applications in biochemistry and medicine. This paper explores the structure, types, synthesis, and biochemical applications of nanomaterials, emphasizing their role in drug delivery, diagnostics, and tissue engineering. Recent developments in nanomedicine and challenges regarding biosafety and ethical considerations are also discussed.

Pedagogical Possibilities Of Digital Educational Technologies In Teaching Medical Chemistry

2025-10-25T09:00:16+00:00

This article examines the pedagogical potential of using digital educational technologies in teaching medicinal chemistry. Particular attention is paid to the role of digital platforms, interactive simulators, and virtual laboratories in developing the professional competencies of medical students. It is shown that the use of digital tools increases motivation to study complex chemical processes, develops clinical thinking, critical analysis, and student independence. The paper analyzes the didactic advantages of integrating digital resources into the educational process, including learning flexibility, individualized learning paths, and the possibility of conducting remote practical classes. It is substantiated that digital technologies provide a new model of pedagogical interaction focused on active student participation and the development of a digital culture in future physicians.

Optimization Of Reaction Conditions And Yield Enhancement In The Synthesis Of New Amide Compounds From 2-Hydroxybenzoic And 2-Methoxybenzoic Acids Via The Schotten-Baumann Method

2025-10-19T22:25:12+00:00

This research investigates the synthesis of novel amide derivatives from 2-hydroxybenzoic acid (salicylic acid) and 2-methoxybenzoic acid using the Schotten-Baumann method, with a focus on optimizing reaction conditions to improve yields while preserving the ortho-substituents. The study examines the preparation of acid chlorides employing oxalyl chloride catalyzed by DMF, followed by amide formation through nucleophilic acylation. Mechanisms, empirical data, and theoretical insights are analyzed, tracing the evolution from traditional aqueous base methods yielding 60-80% to advanced optimizations like controlled temperature, solvent selection, and microwave assistance achieving up to 92% efficiency with reduced by-products. Challenges such as side reactions from the hydroxy group and steric hindrance are mitigated using protective strategies or phase-transfer catalysts. Practical guidelines are offered for selecting optimal protocols based on yield, purity, scalability, and eco-friendliness, recommending the integration of DMF-catalyzed acid chloride formation with biphasic Schotten-Baumann conditions for sustainable amide synthesis in pharmaceutical applications.

Development Of A Mathematical Model For Calculation Of Reliability Parameters Of Smart Home Sensors

2025-10-27T08:57:46+00:00

This article presents the development of a mathematical model for calculating the reliability parameters of smart home system sensors. The primary objective of the study is to develop and analyze a model that can predict the failure probability and uptime of sensors based on statistical and experimental data. To solve this problem, mathematical modeling methods, probability theory, and modern artificial intelligence approaches genetic algorithms (GA) and recurrent neural networks (RNN, LSTM) are applied. These methods improve the accuracy of failure prediction and allow for the consideration of external factors such as temperature, humidity, power consumption, and network load. As a result, a comprehensive model was constructed that describes the behavior of sensors under dynamic operating conditions. A comparative analysis of prediction accuracy was conducted, and key reliability metrics failure rate, mean time between failures, and system availability were evaluated. The developed model can be used in the design, optimization, and maintenance of smart home systems, as well as in other areas of the Internet of Things (IoT) where high reliability of sensor nodes is important.

Biochemical Foundations Of Energy Metabolism Pathologies

2025-10-12T02:37:18+00:00

The biochemical foundations of energy metabolism pathologies analyze the mechanisms of disturbances in catabolic and anabolic processes that lead to cellular energy deficiency. Defects in the Krebs cycle, oxidative phosphorylation, and β-oxidation of fatty acids underlie many metabolic disorders. Energy deficiency manifests as impaired function of highly energy-dependent organs and systems, particularly the nervous and cardiovascular systems. Disorders of energy metabolism are characterized by the accumulation of toxic metabolites, which exacerbate the pathological process. The study of these biochemical mechanisms is of particular importance for the development of methods for diagnosing, treating, and preventing metabolic diseases.

Analysis Of Technological Innovations And Advanced Technologies

2025-10-24T11:20:00+00:00

This article analyzes the importance of introducing technological innovations and advanced technologies into production systems, their impact on efficiency, and their role in creating competitive products. Innovative technologies allow enterprises to increase their technical potential, rationally use resources, and reduce production costs. The article also discusses the role of digital technologies, automation, artificial intelligence, 3D printers, and energy-saving equipment in modern industry. The introduction of advanced technologies has been analytically substantiated to increase the sustainability of production processes, product quality, and environmental safety.

Assessment Of Social Engineering Attack Traces In Information Systems

2025-10-19T22:20:28+00:00

The article examines social engineering attacks in information systems and issues related to detecting and assessing their traces. Using social-graph models, the interactions between users and the propagation paths of attacks are analyzed. Alongside the probability of attack success, the expected level of damage to the organization is also taken into account. The proposed approach enables a more realistic assessment of information security and facilitates effective planning of preventive measures.

Computer Systems Modeling And Simulation To Do

2025-10-26T10:51:54+00:00

This article Computer Simulation to the topic entrance is, its main aspects, especially practical in use advantages and what are the disadvantages analysis does. Home Advantages as: model repetitive use possibility; complete not been information with work ability; real to the system relatively information cheaper and easier to get; and especially mathematics in modeling there is not been dynamic random variables using complicated problems solution can to take such as features is emphasized. Main Disadvantages as is: simulation models of creation expensive and time demand; output and entrance variables optimal solution between or clear dependency directly give cannot; and the model evaluation complicated process that is brought.

The Use Of Artificial Intelligence In Uzbekistan

2025-10-23T12:18:30+00:00

In this article, the development and application of artificial intelligence (AI) technologies in Uzbekistan are reviewed. The article discusses the global impact of AI, Uzbekistan's government policy and national strategy, achievements in education and research, applications in various sectors, legal and ethical issues, challenges, and future prospects. Uzbekistan is actively using AI to develop the digital economy and improve quality of life, aiming to become a regional leader through international cooperation and education.

The Physiological Bases Of Photosynthesis Process In Plant Growth And Development

2025-10-29T07:18:37+00:00

Photosynthesis represents one of the most essential physiological processes sustaining life on Earth. It provides plants with the energy and organic matter necessary for growth, development, and reproduction, while also maintaining the balance of gases in the atmosphere. This paper explores the physiological and biochemical foundations of photosynthesis and its integral role in plant metabolism. It also analyzes how internal and external factors—such as light intensity, temperature, water availability, and carbon dioxide concentration—affect the efficiency of this process. Moreover, it discusses recent advances in understanding the molecular regulation of photosynthesis and their implications for increasing agricultural productivity. In the broader context, photosynthesis is examined as both a biochemical mechanism and a key determinant of ecosystem stability and global food security. The article emphasizes that improving photosynthetic efficiency through physiological optimization and biotechnological innovation is vital for sustainable development in the face of climate change.

Clinical Significance Of Biomarkers Of The Angiogenic Process In Patients Who Have Suffered Acute Coronary Syndrome

2025-10-17T17:03:55+00:00

In patients with acute coronary syndrome, a significant increase in the levels of the studied biomarkers was detected: hypoxia-induced factor-1 — 2.1 times, vascular endothelial growth factor (VEGF) — 1.8 times, endothelin-1 — 5.8 times, xanthine oxidase activity — 48%.

The data obtained indicate pronounced endothelial dysfunction and activation of angiogenic processes, which is of important prognostic and clinical significance in the management of patients with ACS.

Recommendation System For Gaming Preference Analytics

2025-10-25T20:25:19+00:00

Understanding what players truly prefer remains one of the major challenges in today’s gaming industry. Developers often rely on intuition or general market trends rather than structured data, leading to inaccurate targeting and missed opportunities. This research presents a database-driven system for gaming preference analytics, designed to collect, organize, and analyze player activity data such as liked games, playtime, and user interactions. The system applies similarity metrics and data analysis techniques to identify relationships among players and their gaming interests, enabling personalized game recommendations and community insights. The project emphasizes conceptual, logical, and physical database design, ensuring efficient data organization and retrieval. While the core of this work focuses on database development, it also establishes a foundation for future integration of artificial intelligence methods, such as clustering and predictive analytics, to enhance personalization and recommendation accuracy. Overall, this research demonstrates how structured data and analytical modeling can bridge the gap between player behavior and informed decision-making, supporting smarter marketing, improved engagement, and sustainable growth in the gaming industry.

Halogenation And Nucleophilic Aromatic Substitution Reactions Of Aromatic Carboxylic Acids

2025-10-19T22:35:21+00:00

This study explores the halogenation of aromatic carboxylic acids through electrophilic aromatic substitution (EAS) and their subsequent use in nucleophilic aromatic substitution (SNAr) reactions, emphasizing the preservation of the carboxylic group (-COOH). The analysis covers reaction mechanisms, empirical and theoretical approaches, and the evolution of these processes from classical methods, such as Br₂/FeBr₃ halogenation, to modern eco-technological innovations like NBS/carborane catalysis and electrochemical SNAr. Classical methods yield 70-90% but are limited by high waste and corrosion, while modern approaches achieve up to 95% selectivity at room temperature with minimal environmental impact. Challenges like decarboxylation and low selectivity are addressed using microwave reactors or pressurized systems. The study provides practical recommendations for selecting optimal synthesis methods based on yield, selectivity, environmental sustainability, and waste minimization, proposing the integration of NBS/carborane and electrochemical SNAr for efficient, eco-friendly organic synthesis.

Mechanization Of The Process Of Arch Collapse Of Bulk Material In A Hopper

2025-10-27T09:16:32+00:00

This paper presents a newly developed design of a mechanized device for collapsing arches of bulk materials in hoppers. The proposed construction significantly reduces the device’s overall energy consumption while maintaining effective and reliable operation. The working principle of the system is based on the progressive loosening of the arch structure from the lower to the upper layers of the bulk material, which ensures stable and controlled disintegration.

The key advantage of the proposed mechanism lies in the elimination of human presence within the collapse zone, thereby improving occupational safety and minimizing risks during operation. Furthermore, the design reduces downtime caused by manual intervention in arch removal and enhances the efficiency of technological processes in material handling and mining operations.

Enzyme Catalysis In Modern Biochemical Processes

2025-10-17T16:47:06+00:00

Enzyme catalysis plays a crucial role in all biological processes, providing highly specific and efficient pathways for biochemical transformations. This research focuses on the mechanisms of enzymatic catalysis, classification of enzymes, factors affecting enzyme activity, and their industrial and medical applications. The study integrates recent findings from molecular biology and biotechnology to highlight modern advancements in enzyme engineering and catalysis optimization.

Arithmetic Expression Compiler Using Python And LLVM

2025-10-25T20:15:43+00:00

This paper presents the implementation of a compiler that translates arithmetic expressions into native machine code using the LLVM compiler infrastructure's Python API. This work demonstrates a complete compilation pipeline. It converts high-level arithmetic expressions into native assembly code using llvmlite, which is the Python binding for LLVM. The compiler performs several tasks. It handles lexical analysis, parsing with operator precedence, constructing the abstract syntax tree, and generating LLVM IR. By connecting native execution and interpreted Python code, the system allows for compilation without the delays of interpretation. This work sets the stage for future experiments in Python-to-native compilation. It also helps us understand how to access modern compiler infrastructures programmatically.

Amino Alcohols: Synthesis Approaches, Chemical Reactivity, And Contemporary Applications

2025-10-19T22:27:58+00:00

Amino alcohols, compounds featuring both amino (-NH₂) and hydroxyl (-OH) functional groups, play a crucial role in modern organic chemistry due to their bifunctional nature, enabling applications in asymmetric synthesis, catalysis, and the production of biologically active substances. This review explores various synthesis methods, including epoxide ring-opening, reductive amination, and multicomponent reactions, while emphasizing stereochemical control and environmental sustainability. It also examines their reactivity in nucleophilic substitutions, epoxide openings, and Mannich reactions, highlighting their utility as chiral ligands. Drawing from empirical and theoretical studies up to 2025, the analysis evaluates process efficiency and ecological viability, integrating fundamental and practical aspects of organic synthesis. Contemporary applications span pharmaceuticals, materials science, and agrochemistry, with a focus on chiral derivatives and bio-active compounds.

Enhancing The Efficiency Of A Tio₂-Based Dye-Sensitized Solar Cell Through Ultrasonic Treatment Of The Photoanode

2025-10-27T09:03:01+00:00

This study explores the possibility of improving the efficiency of TiO₂-based solar cells through ultrasonic treatment during the preparation of the photoanode. The article investigates the influence of ultrasonic processing of the photoanode in a solar cell fabricated with a Ru-based dye (0.3 mM N3) and an electrolyte composed of 0.05KI + 0.10TBAI + 0.1PEO + 0.25PC + 0.25EC + 0.5DMF + 0.015I on its photoelectric performance.

Optoelectronic Functional Transducer Of Angular Displacements

2025-10-13T09:35:50+00:00

This article considers the issue of creating an optoelectronic functional transducer for detecting and controlling angular displacements. The possibility of measuring angular displacements with high accuracy through a combination of an optical sensor and electronic components was analyzed. An innovative device with high sensitivity, suitable for use in education, robotics, and automated systems, was developed. This technology allows for fast and efficient recording of small changes. Optoelectronic transducers of angular displacements are known, which consist of a light source, a heat screen, a lens system, and two semiconductor photoresistors installed in series in a light-tight housing.

Comparative Analysis Of Convolutional Neural Networks (Cnn), Support Vector Machine (Svm) And Random Forest Algorithms For Detecting Knitted Fabric Defects

2025-10-24T11:24:49+00:00

This research presents a comparative analysis of Convolutional Neural Networks (CNN), Support Vector Machine (SVM), and Random Forest algorithms for defect detection in knitted fabrics. Experimental results on a dataset of 5000 images demonstrate that the CNN model achieved 96.8% accuracy, SVM 89.3%, and Random Forest 91.2%. The study indicates that CNN is preferable for scenarios requiring high precision, while Random Forest is more suitable with limited computational resources. These findings have practical implications for designing automated quality control systems in the knitting industry.