Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
type: channel
description: Innovative: International Multidisciplinary Journal of Applied Technology (IMJAT) with U.S ISSN 2995-486X is a peer-reviewed, open-access scientific journal dedicated to publishing original research and innovative developments across a broad spectrum of applied and technical sciences. With its growing reputation, IMJAT continues to be a valuable platform for academics, researchers, engineers, and industry professionals seeking to publish impactful research that advances applied science and technology on a global scale. We are pleased to announce that IMJAT has been officially recognized by the Higher Attestation Commission (OAK) of the Republic of Uzbekistan for meeting the criteria required for technical sciences publications. As per OAK Decision No. 368/4 dated March 6, 2025, the journal is now listed as a recommended scientific publication for “05.00.00 – Technical Sciences, making it a valid outlet for PhD and DSc researchers to publish their dissertation-related scientific results. JOURNAL INFORMATION Journal title : Innovative: International Multidisciplinary Journal of Applied Technology (IMJAT) Initials : Innovative Abbreviation : Int.Multi.Jour. Applied. Techno. Frequency : Monthly Published DOI : Publisher Association : Antis Publishing House Online ISSN : ISSN 2995-486X (Online) | Innovative | The ISSN Portal Collaboration Institution : Kokand State University Publisher : Multi Journals Press Citation Analysis : IEEE Reference Style Accreditation : - Abstracting and Indexing : Click here
publisher: Multi Journals Press
language: en
publication name: Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
issn: 2995-486X
items: Transition From Monitoring to Observability in Modern Service Assurance Through an Empirical Evaluation of Current Practices
items: PHARMACOLOGICAL EFFICACY AND TOXICOLOGICAL SAFETY ASSESSMENT OF INTROVIT ES 100 ORAL SOLUTION IN LAYING HENS
items: ELECTRODE MATERIALS FOR ELECTROCOAGULATION OF CARWASH WASTEWATER
items: A WEBCAM-BASED RECOGNITION SYSTEM FOR THE UZBEK FINGERSPELLING ALPHABET
items: EVALUATION OF WCAG CRITERIA IN DIGITAL LEARNING PLATFORMS USING A HYBRID AUDIT APPROACH
items: Investigation of Gas Concentrations Emitted From Chemical Reagents Used in Polyurethane Production
items: EFFECT OF 1,4-BUTANEDIOL CHAIN EXTENDER ON THE REACTION MECHANISM OF POLYURETHANE FORMATION
items: A SIMULATOR INDEPENDENT DYNAMIC EFFECTIVENESS-NTU MODEL FOR HEAT-EXCHANGER PERFORMANCE PREDICTION UNDER FLOW, TEMPERATURE, AND FOULING DEPENDENT OPERATION
items: THEORETICAL PREREQUISITES FOR ADAPTING TRADITIONAL BAKERY TECHNOLOGY TO THERAPEUTIC AND DIETARY PRODUCTION
items: NEXT-GENERATION POWER SYSTEMS: INTEGRATING SUSTAINABLE ENERGY SOURCES WITH ADVANCED DISTRIBUTION AND COMPENSATION STRATEGIES
items: SYNERGISTIC ADVANCEMENTS IN SMART GRID TECHNOLOGIES: A REVIEW OF PROTECTION, OPTIMIZATION, AND RENEWABLE INTEGRATION
items: EFFICIENCY OF THE SPRINKLER IRRIGATION METHOD FOR THE SOYBEAN VARIETY "NAFIS"
items: Development of a Full Mathematical Model for Evaluating the Performance of an Electrically Driven Ring Spinning Machine under Drive Failure and Motor Speed Reduction
items: ANALYSIS OF CALCULATION RESULTS OF VIBRATION OF BELT CONVEYOR ROLLER MECHANISMS
items: ARTIFICIAL INTELLIGENCE FOR POWER QUALITY OPTIMIZATION IN RENEWABLE ENERGY CIRCULATION RELATIONS
items: DETERMINATION OF ANALYTICAL DEPENDENCE AND NUMERICAL CALCULATION OF TORQUE AND DISPLACEMENT OF VIBRATION OF THE SUPPORT OF AN INTERNAL COMBUSTION ENGINE
items: A MODEL FOR THE INTEGRATION OF MULTI-SOURCE DATA AND AUTOMATIC QUALITY CONTROL IN EMERGENCY-SITUATION MONITORING
items: COMPARATIVE ANALYSIS OF METHODS FOR INCREASING THE CAPACITY OF FIBER-OPTIC COMMUNICATION LINES AND EVALUATION OF A SINGLE-FIBER TRANSMISSION METHOD USING Y-SPLITTERS
items: DESIGNING MODERN CLOTHING USING LOCAL TEXTILE MATERIALS BASED ON SUSTAINABLE DEVELOPMENT PRINCIPLES
items: Artificial Intelligence-Driven Cyber Threat Detection for Protecting Critical Digital Infrastructure
items: FORECASTING ROAD TRAFFIC CAPACITY USING MATHEMATICAL MODELING OF TRAFFIC FLOW DYNAMICS
items: CONSUMER-ORIENTED DESIGN STRATEGIES FOR MODERN LIGHT INDUSTRY PRODUCTS
items: Leveraging Strategic Management Information Systems for Organizational Resilience: Integrating Artificial Intelligence, Financial Risk Mitigation, and Sustainable Marketing
items: Course Equations for Studying The Stability and Controllability of Wheeled Machines
items: Numerical Solution of a Nonlinear Fractional Diffusion Problem
items: MECHATRONIC CONTROL ALGORITHM FOR AN AUTOMOTIVE COOLING SYSTEM FAN
items: THE IMPACT OF INTEGRATING LEAN MANUFACTURING AND QUALITY MANAGEMENT SYSTEMS ON ENTERPRISE EFFICIENCY
items: MATHEMATICAL ANALYSIS OF THE R-PARAMETRIC OPERATION PRESENTED IN THE O'ZMST 286:2024 STANDARD
items: MORPHOLOGICAL CHARACTERIZATION BY SCANNING ELECTRON MICROSCOPY (SEM) OF COMPOSITE ADSORBENTS DERIVED FROM PLANT HUSK WASTE: A BASIS FOR DEVELOPING ECO-FRIENDLY MATERIALS FOR POLLUTANT ADSORPTION
items: PHYSICO-CHEMICAL, TEXTURAL AND OPERATIONAL PROPERTIES OF CATALYSTS OBTAINED FROM LOCAL MINERAL RAW MATERIALS AND INDUSTRIAL TECHNOGENIC WASTE

Transition From Monitoring to Observability in Modern Service Assurance Through an Empirical Evaluation of Current Practices
type: item
description: Traditional IT checking is failing as a result of the growing complexity systems, exacerbated by the introduction of distributed IT systems, cloud computing, and microservices. Observability is a new comprehensive assurance methodology that adapts monitoring practices to include the analysis of metrics, and traces to enhance visibility and system resilience. A one-time quantitative survey design was applied to a sample of 155 IT professionals based in the USA use cloud infrastructure and service assurance. A five-point Likert-scale questionnaire was the primary method of data collection. The analysis of the data was conducted using descriptive statistics, correlation, and structural statistics using IBM SPSS Statistics 29.0. System Reliability achieved the highest average score (4.02), followed by Observability Capability (3.95). Monitoring Capability achieved the lowest mean score (3.71). Application Performance Monitoring was the most common practice, at 31.6%, while 34.8% of respondents reported partial deployment of observability. The highest correlation was found between Observability Capability and Service Assurance Performance (r = 0.781). In the structural analysis, Monitoring Capability, at least, positively impacted Observability Capability (β = 0.653). The model incorporated the structural equation and reported that the model explained 68.4% of the variance of Service Assurance Performance (R² = 0.684). The analysis conducted showed that observability significantly improves incident response, system reliability, and service assurance performance. This study suggests that the integration of observability should be the primary focus increase the speed at which issues are resolved, in conjunction with improving the reliability of digital services.
subject: Articles
  topic: section
subject: Monitoring Capability
  topic: keywords
subject: Observability
  topic: keywords
subject: Incident Response Efficiency
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Service Assurance Performance
  topic: keywords
creator: Md Mofasel Hossain
creator: Afsara Tasnim Shama
rights: Copyright (c) 2023 Md Mofasel Hossain, Afsara Tasnim Shama (Author)
date: 2023-08-30
publication date: 2023-08-30
starting page: 84
ending page: 93
doi: 10.51699/8w84ma95

PHARMACOLOGICAL EFFICACY AND TOXICOLOGICAL SAFETY ASSESSMENT OF INTROVIT ES 100 ORAL SOLUTION IN LAYING HENS
type: item
description: Oxidative stress, immunosuppression and reduced productivity remain major constraints in intensively managed poultry flocks. This study evaluated the pharmacological efficacy and toxicological safety of Introvit ES 100, an oral vitamin E–selenium complex, in laying hens under industrial rearing conditions. Thirty clinically healthy hens of comparable age and body weight were allocated to three groups (n = 10 each): an untreated control group, and two experimental groups receiving the preparation via drinking water at 1 mL/L (Group I) and 2 mL/L (Group II) for 30 consecutive days. Haematological, biochemical, antioxidant, immunological, growth, egg-production, feed-conversion, survivability, and hepato-renal histomorphological parameters were assessed, together with an economic-efficiency analysis. Introvit ES 100 produced dose-dependent increases in erythrocyte count, haemoglobin, total protein, superoxide dismutase, glutathione peroxidase and catalase activities, together with reductions in malondialdehyde, AST and ALT, all statistically significant relative to control (p < 0.05). Phagocytic activity, immunoglobulin concentration and the stress-resistance index improved in treated groups, egg production rose by up to 14.3 %, feed-conversion ratio improved by up to 56 %, and survivability reached 100 % versus 90 % in controls. Histological examination revealed no degenerative, necrotic or inflammatory changes in liver or kidney of treated birds. The findings indicate that Introvit ES 100, applied at the recommended oral doses, is a safe and pharmacologically effective antioxidant–immunomodulatory agent for use in commercial poultry production.
subject: Articles
  topic: section
subject: Introvit ES 100
  topic: keywords
subject: vitamin E
  topic: keywords
subject: selenium
  topic: keywords
subject: poultry pharmacology
  topic: keywords
subject: oxidative stress
  topic: keywords
subject: antioxidant enzymes
  topic: keywords
subject: immunomodulation
  topic: keywords
subject: toxicological safety
  topic: keywords
subject: laying hens
  topic: keywords
subject: feed conversion
  topic: keywords
creator: Shakhzod Doniyorov
rights: Copyright (c) 2026 Shakhzod Doniyorov (Author)
date: 2026-08-14
publication date: 2026-08-14
starting page: 44
ending page: 53
doi: 10.51699/y2etjt24

ELECTRODE MATERIALS FOR ELECTROCOAGULATION OF CARWASH WASTEWATER
type: item
description: Carwash wastewater (CWW) is generated in large volumes, typically 150–600 L per vehicle, and carries high, variable loads of surfactants, oil and grease, suspended solids and turbidity (often exceeding 10³ NTU), together with dissolved salts and traces of heavy metals, making its treatment and reuse a priority for water conservation. Electrocoagulation (EC), in which coagulants are generated in situ by anodic dissolution while cathodically evolved hydrogen drives flotation, is a compact, low-reagent option well suited to such decentralized sources. However, comparisons of electrode materials remain scattered across dissimilar effluents, and the roles of the cathode and of the metallurgical composition of iron are seldom treated systematically. This review critically consolidates the metals reported as EC anodes, namely Al (Al), iron (Fe), zinc, magnesium, copper, stainless steel, titanium and graphite, together with the influence of cathode material and key operating factors, in order to justify electrode selection for CWW. Across the literature, EC typically removes 75–98% of chemical oxygen demand and 80–99% of turbidity, with Al and Fe dominating practice owing to their low cost, availability, non-toxicity and high ionic valence. Al generally affords superior turbidity, color and surfactant removal at lower energy but higher sludge and a risk of residual metal, whereas Fe is often faster and cheaper yet imparts residual color. Other metals are effective only for specific pollutants. The cathode is shown to govern flotation, pH evolution and passivation, and the carbon and impurity content of iron electrodes is identified as an under-explored factor. Al and Fe, alone or as Al/Fe hybrids, emerge as the pragmatic choice for CWW treatment and reuse in line with Sustainable Development Goal 6.
subject: Articles
  topic: section
subject: sacrificial anodes
  topic: keywords
subject: metal electrodes
  topic: keywords
subject: cathode influence
  topic: keywords
subject: surfactant removal
  topic: keywords
subject: water reuse
  topic: keywords
subject: SDG 6
  topic: keywords
creator: Farkhod Murtazaev
creator: Lobar Baxrinova
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology https://creativecommons.org/licenses/by/4.0
date: 2026-08-14
publication date: 2026-08-14
starting page: 26
ending page: 43
doi: 10.51699/sep72q80

A WEBCAM-BASED RECOGNITION SYSTEM FOR THE UZBEK FINGERSPELLING ALPHABET
type: item
description: For individuals with hearing or speech impairments, sign language serves as the primary channel of natural connection with society. To date, work on the automated recognition of Uzbek sign language remains scarce, and an openly available dataset for this purpose is essentially nonexistent. This paper presents a system that recognizes the Uzbek fingerspelling alphabet using an ordinary webcam. Hand movements are tracked with the MediaPipe Hands tool; letters represented by static hand poses are classified using a Random Forest classifier, while letters expressed through motion are recognized using an LSTM neural network. Trained on a manually collected dataset of 1,523 static frames and 468 motion sequences, the system recognized static letters with 99.11% accuracy and dynamic letters with 65.96% accuracy. The results indicate that the recognition of stable hand poses can be achieved with high reliability, whereas the recognition of temporally evolving gestures remains a considerably more complex scientific and technical challenge.
subject: Articles
  topic: section
subject: Uzbek Sign Language
  topic: keywords
subject: Fingerspelling Alphabet
  topic: keywords
subject: Mediapipe
  topic: keywords
subject: Random Forest
  topic: keywords
subject: LSTM
  topic: keywords
subject: Webcam
  topic: keywords
creator: Jovliyeva Sevinch
rights: Copyright (c) 2026 Sevinch Jovlieva (Author)
date: 2026-03-31
publication date: 2026-03-31
starting page: 44
ending page: 48
doi: 10.51699/x67ey438

EVALUATION OF WCAG CRITERIA IN DIGITAL LEARNING PLATFORMS USING A HYBRID AUDIT APPROACH
type: item
description: Ensuring digital accessibility in e-learning platforms is a primary requirement for creating equal educational opportunities for all students. This study examines the practical effectiveness of a hybrid audit approach that combines automated software tools, specifically Axe-core and Google Lighthouse, with manual keyboard testing. As a practical testing ground, a prototype of the DigiLab learning platform developed by the author was used as the research object. While automated scanners are highly useful for the rapid detection of static code errors, their technical algorithms are limited to identifying only about 20 to 25 percent of overall WCAG standard violations. Full evaluation of interactive functionality and real user experience requires dynamic testing beyond mere source code analysis, a limitation openly acknowledged by the tool developers in their official documentation. Manual testing conducted using a standard keyboard successfully revealed these hidden semantic and navigational errors that the software had overlooked. After resolving all identified issues, the platform's initial Lighthouse score increased from 68 to 95 points, while Axe-core recorded zero errors in the final audit. The experiment demonstrates that to achieve authentic digital inclusion in educational resources, automated assessments must be systematically complemented by manual human verification.
subject: Articles
  topic: section
subject: Web Accessibility
  topic: keywords
subject: Digital Learning
  topic: keywords
subject: Axe-Core
  topic: keywords
subject: Google Lighthouse
  topic: keywords
subject: Manual Testing
  topic: keywords
subject: Digilab
  topic: keywords
subject: WCAG Standards
  topic: keywords
subject: Semantic Audit
  topic: keywords
subject: User Experience
  topic: keywords
creator: Jovliyeva Sevinch
rights: Copyright (c) 2026 Sevinch Jovlieva (Author)
date: 2026-07-30
publication date: 2026-07-30
starting page: 40
ending page: 44
doi: 10.51699/9sj10h73

Investigation of Gas Concentrations Emitted From Chemical Reagents Used in Polyurethane Production
type: item
description: This study investigates the composition and concentration of gases generated during the heating, polycondensation, curing, crystallization, and recycling processes of liquid diisocyanates, polyether polyols, and chain extenders used in polyurethane synthesis within the temperature range of 60–120 °C. The polycondensation kinetics and thermochemical transformations of both virgin and recycled polyurethane formulations were examined. The concentrations of volatile organic compounds (VOCs), isocyanate vapors, and other gaseous emissions released into the workplace atmosphere during the technological process were determined using ANT-3M and GC-8000 gas analyzers. The measured gas concentrations were compared with the maximum permissible concentrations (MPCs) established for workplace air, and their hazard classes were determined in accordance with GOST 12.1.007–76. Based on the experimental findings, an innovative technological approach and a multi-stage gas purification system were developed to capture, neutralize, and minimize the release of hazardous gaseous emissions into the atmosphere during polyurethane synthesis and recycling. The proposed technology is expected to improve the environmental safety of polyurethane production, ensure compliance of workplace air quality with occupational safety standards, reduce harmful emissions, and significantly enhance the environmental and technological efficiency of polyurethane manufacturing processes.
subject: Articles
  topic: section
subject: Polyurethane
  topic: keywords
subject: Recycled Polyurethane
  topic: keywords
subject: Diisocyanate
  topic: keywords
subject: Polyether Polyol
  topic: keywords
subject: Chain Extender
  topic: keywords
subject: Polycondensation
  topic: keywords
subject: Gaseous Emissions
  topic: keywords
subject: Volatile Organic Compounds (VOCs)
  topic: keywords
subject: Isocyanate Vapors
  topic: keywords
subject: Gas Analyzer
  topic: keywords
subject: ANT-3M
  topic: keywords
subject: GC-8000
  topic: keywords
subject: Workplace Air
  topic: keywords
subject: Environmental Safety
  topic: keywords
subject: Gas Neutralization
  topic: keywords
subject: Gas Purification System
  topic: keywords
subject: Hazard Classification
  topic: keywords
creator: Shodiev Asliddin Faxriddin ugli
creator: Muhiddinov Bahodir Fahriddinovich
rights: Copyright (c) 2025 Shodiev Asliddin Faxriddin ugli, Muhiddinov Bahodir Fahriddinovich (Author)
date: 2025-10-28
publication date: 2025-10-28
starting page: 144
ending page: 151
doi: 10.51699/cjmbfr57

EFFECT OF 1,4-BUTANEDIOL CHAIN EXTENDER ON THE REACTION MECHANISM OF POLYURETHANE FORMATION
type: item
description: This study investigates the polymerization mechanism of 1,4-butanediol, used as a chain extender in the synthesis of polyurethane based on 4,4′-methylenediphenyl diisocyanate (4,4′-MDI), as well as the effect of the diisocyanate concentration on the macromolecular structure and physicomechanical properties of the polymer. During the reaction, the hydroxyl (–OH) groups of 1,4-butanediol react with the isocyanate (–NCO) groups of 4,4′-MDI to form urethane (–NHCOO–) linkages, resulting in polymer chain extension, an increase in the content of hard segments, and improved phase organization of the polymer structure. The effects of 1,4-butanediol (3–8 wt%) and 4,4′-MDI (60–75 wt%) on the polymerization kinetics, macromolecular chain growth, and crosslink density were systematically evaluated. The results demonstrated that compositions containing 4–6 wt% 1,4-butanediol and 68–70 wt% 4,4′-MDI promoted the formation of a homogeneous polyurethane macromolecular structure, providing high mechanical strength, optimum elasticity, and excellent thermal stability. Deviations from these composition ranges resulted in an increased content of residual isocyanate (–NCO) groups, non-uniform formation of the three-dimensional polymer network, and increased brittleness of the material. These findings demonstrate that optimizing the contents of the chain extender and diisocyanate is an effective approach for controlling the molecular architecture and enhancing the performance characteristics of polyurethane materials.
subject: Articles
  topic: section
subject: Smart Grids
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
subject: Optimization Techniques
  topic: keywords
subject: Distributed Generation
  topic: keywords
creator: Shodiev Asliddin Faxriddin ugli
creator: Muhiddinov Bahodir Fahriddinovich
rights: Copyright (c) 2025 Shodiev Asliddin Faxriddin ugli, Muhiddinov Bahodir Fahriddinovich (Author)
date: 2025-07-31
publication date: 2025-07-31
starting page: 105
ending page: 111
doi: 10.51699/hx0ce076

A SIMULATOR INDEPENDENT DYNAMIC EFFECTIVENESS-NTU MODEL FOR HEAT-EXCHANGER PERFORMANCE PREDICTION UNDER FLOW, TEMPERATURE, AND FOULING DEPENDENT OPERATION
type: item
description: Fouling is the dominant cause of the progressive loss of thermal duty in industrial heat exchangers, yet the design and monitoring of these units still rely largely on constant fouling factors that ignore the dependence of deposition on flow rate and surface temperature. This work develops a self-contained, simulator-independent mathematical model that couples the steady-flow energy balance, the logarithmic-mean-temperature-difference (LMTD) relation and the effectiveness–number-of-transfer-units (ε–NTU) formulation to an asymptotic, Kern–Seaton-type fouling law whose deposition and removal terms are written as explicit functions of tube velocity and film temperature. The overall heat-transfer coefficient, the effectiveness and the duty are advanced in time by integrating a single ordinary differential equation for the fouling resistance, with the thermal field solved quasi-steadily at each instant. Closed-form normalized sensitivity coefficients are derived for the effectiveness, the duty and the overall coefficient with respect to NTU, mass flow rate, inlet temperature difference and fouling resistance, and a dimensionless fouling-degradation number Θ = Uc Rf* is introduced to collapse the asymptotic performance loss onto a single group. The framework is verified against the exact ε–NTU/LMTD duty identity and against the analytical solution of the fouling law, and is then exercised on a thermodynamically consistent counterflow shell-and-tube case study. At the design velocity the model predicts a 20% reduction in the overall coefficient, a 10.7% loss of duty and a 30-day fouling time constant, and it reproduces the experimentally reported inverse-square dependence of that time constant on velocity. An uncertainty analysis quantifies the amplification of measurement error near a close temperature approach. The resulting model is transparent, computationally trivial and readily embedded in performance-monitoring and cleaning-schedule tools.
subject: Articles
  topic: section
subject: Heat-exchanger performance
  topic: keywords
subject: Fouling dynamics
  topic: keywords
subject: Effectiveness–NTU method
  topic: keywords
subject: Logarithmic mean temperature difference
  topic: keywords
subject: Asymptotic fouling resistance
  topic: keywords
subject: Analytical sensitivity analysis
  topic: keywords
subject: Thermal degradation
  topic: keywords
subject: Cleaning-schedule optimization
  topic: keywords
creator: Hassanin M. Ali
rights: Copyright (c) 2026 Hassanin M. Ali (Author)
date: 2026-08-10
publication date: 2026-08-10
starting page: 7
ending page: 25
doi: 10.51699/bcapab05

THEORETICAL PREREQUISITES FOR ADAPTING TRADITIONAL BAKERY TECHNOLOGY TO THERAPEUTIC AND DIETARY PRODUCTION
type: item
description: The traditional bread-making scheme evolved for wheat dough whose structure is built on a gluten framework, and it is not optimal once functional ingredients are introduced and thermolabile components must be preserved. This paper sets out the theoretical prerequisites for adapting the traditional technological scheme to the requirements of therapeutic and dietary bakery production. The scheme is treated as a controllable system of stages in which the functional load creates specific deviations from the standard regime that call for compensating technological solutions, subject to the principle of minimal technological intervention. Critical adaptation points are identified at raw-material preparation (pre-treatment of functional ingredients), dough mixing (choice of the dough-making method and compensation of gluten weakening), fermentation (sourdough and acidity control), baking (gentle, zone-differentiated regimes for thermolabile components) and the final stages (post-baking addition of probiotics and barrier packaging). Gluten-free production is considered as a special, fundamental case in which a system of hydrocolloids replaces the structural functions of gluten. The safety and guaranteed functionality of the products are addressed through HACCP-based quality management. The proposed adaptation closes the theoretical loop between recipe design and the practical manufacturability of functional bakery products.
subject: Articles
  topic: section
subject: Functional Bakery Products
  topic: keywords
subject: Therapeutic and Dietary Nutrition
  topic: keywords
subject: Technological Scheme Adaptation
  topic: keywords
subject: Sourdough
  topic: keywords
subject: Dough-Making Method
  topic: keywords
subject: Gluten-Free Bread
  topic: keywords
subject: Hydrocolloids
  topic: keywords
subject: Mineral Bioavailability
  topic: keywords
subject: Glycemic Index
  topic: keywords
subject: HACCP
  topic: keywords
creator: Kurbanov M. T.
rights: Copyright (c) 2026 Kurbanov M. T. (Author)
date: 2026-08-08
publication date: 2026-08-08
starting page: 1
ending page: 6
doi: 10.51699/gbwaw983

NEXT-GENERATION POWER SYSTEMS: INTEGRATING SUSTAINABLE ENERGY SOURCES WITH ADVANCED DISTRIBUTION AND COMPENSATION STRATEGIES
type: item
description: Power systems of the next generation are a transformative advance in generating, distributing, and managing electric energy, with greater integration of sustainable resources into grid systems for improved reliability and efficiency. The current research investigates the building blocks, integration schemes, remuneration techniques, advantages, challenges, and applications of contemporary power systems. Global energy infrastructure is transitioning from centralized fossil-fuel-based grid systems to decentralized, intelligent, and renewable-based (DIW) systems. Some key enabling technologies are renewable energy resources (solar, wind, hydroelectric, and biomass), along with advanced energy storage systems coupled with the smart grid and hybrid energy design. They are the solution to harness all renewable energy intermittency while reducing system oscillation and increasing the flexibility of operations. According to the study, real-time monitoring enabled by Distributed Energy Resource Management Systems (DERMS), Advanced Distribution Management Systems (ADMS), and optimization tools based on artificial intelligence are critical in predicting maintenance and facilitating dispatch. Moreover, reactive power compensation, voltage regulation, and Flexible AC Transmission Systems (FACTS) are two needs of the day for better power quality and grid stability under high renewable penetration. Nevertheless, issues like high initial capital expenditure (CapEx), technological complexity, limited skilled workforce, and regulatory bottlenecks still obstruct scaling. Case studies from the industrial sector and pilot renewable energy projects show both promise and limits to current implementation efforts, underscoring the need for strong stakeholder engagement across scales and flexible policy adaptations.
subject: Articles
  topic: section
subject: Enhances sustainable
  topic: keywords
subject: reliable
  topic: keywords
subject: efficient energy systems by integrating renewables
  topic: keywords
subject: improving grid stability
  topic: keywords
subject: reducing emissions
  topic: keywords
subject: supporting future demand
  topic: keywords
creator: Abu Musa Sarkar
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology https://creativecommons.org/licenses/by/4.0
date: 2026-07-30
publication date: 2026-07-30
starting page: 14
ending page: 26
doi: 10.51699/nvnr8d57

SYNERGISTIC ADVANCEMENTS IN SMART GRID TECHNOLOGIES: A REVIEW OF PROTECTION, OPTIMIZATION, AND RENEWABLE INTEGRATION
type: item
description: The smart grid is a development of modern power systems, integrating digital communication, intelligent control, and advanced optimization to improve efficiency, reliability, and sustainability. This shift from conventional centralized grids to decentralized, data-driven infrastructures enable bidirectional energy flow, real-time monitoring, and adaptive decision-making. This transformation, however, also poses key challenges surrounding cybersecurity breaches, concerns over system and geolocation stability, and complexity in the management of energy resources locally. The research studies highlight the development of advanced protection techniques, which include smart adaptive schemes that can adjust and respond to dynamic grid conditions, as well as comprehensive multi-layer cybersecurity systems specifically developed to deal with risks such as those from ransomware attacks, insider threats, and network overloads. Moreover, the paper also elaborates on various intelligent optimization techniques, which developed like as linear programming, heuristic algorithms, genetic algorithms (GA), particle swarm optimization (PSO), and ant colony optimization (ACO), which are necessary for improving energy management and operation efficiency. Machine learning and real-time analytics enhance smart grid functionality by enabling predictive energy management, load forecasting, voltage control, and fault detection being some of them thereby strengthening performance. It also discusses the integration of renewable energy sources, where it stresses hybrid energy systems that utilize both conventional and renewable generation, explaining the role of energy storage technologies, demand response mechanisms, or any other tool to stabilize variable generation.
subject: Articles
  topic: section
subject: Smart Grids
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
subject: Optimization Techniques
  topic: keywords
subject: Distributed Generation
  topic: keywords
creator: Sayed Sufia Sumi
creator: Anwar Hakim Tamim
rights: Copyright (c) 2026 Sayed Sufia Sumi, Anwar Hakim Tamim (Author)
date: 2026-07-31
publication date: 2026-07-31
starting page: 27
ending page: 39
doi: 10.51699/tdnxs749

EFFICIENCY OF THE SPRINKLER IRRIGATION METHOD FOR THE SOYBEAN VARIETY "NAFIS"
type: item
description: To address growing food security demands and optimize agricultural water management under typical irrigated grey soils of the Tashkent region, this study evaluates the efficiency of the sprinkler irrigation method for the "Nafis" soybean variety. Comprehensive analyses of key soil physical properties—such as bulk density, total porosity, and water permeability—were conducted alongside detailed field experiments. The research investigates the impact of scientifically grounded irrigation scheduling, individual watering norms, and seasonal irrigation rates on plant growth, development, and grain productivity. The experimental results demonstrate that optimized sprinkler irrigation significantly improves crop yield and water-use efficiency compared to traditional furrow irrigation methods. Specifically, the proposed optimal irrigation regime reduces water consumption while achieving a higher grain yield per hectare. These findings establish that sprinkler irrigation is a highly viable, water-saving, and sustainable agricultural strategy for arid and semi-arid regions facing increasing water scarcity challenges, offering a reliable technological framework for improving regional crop production and resource management.
subject: Articles
  topic: section
subject: soybean species
  topic: keywords
subject: sprinkling irrigation method
  topic: keywords
subject: soil bulk density
  topic: keywords
subject: soil porosity
  topic: keywords
subject: soil water
  topic: keywords
subject: permeability
  topic: keywords
subject: field capacity limit
  topic: keywords
subject: irrigation rates
  topic: keywords
subject: irrigation timing
  topic: keywords
subject: irrigation rate
  topic: keywords
subject: soybean yield
  topic: keywords
creator: Sanobar Dostnazarova
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2026-07-22
publication date: 2026-07-22
starting page: 8
ending page: 13
doi: 10.51699/mcazgw11

Development of a Full Mathematical Model for Evaluating the Performance of an Electrically Driven Ring Spinning Machine under Drive Failure and Motor Speed Reduction
type: item
description: The operational efficiency of modern ring spinning machines is strongly influenced by the technical condition of the electric drive system. Temporary drive failures and reductions in motor rotational speed directly affect production stability, yarn quality, and machine productivity. Existing mathematical approaches generally evaluate these factors independently or employ simplified linear relationships, which restricts the accuracy of technological performance prediction under real operating conditions. This study develops a comprehensive second-order mathematical model for evaluating the performance of an electrically driven ring spinning machine by simultaneously considering the duration of electric drive failure and the percentage reduction in motor rotational speed. The experimental investigation was organized according to a second-order orthogonal design based on Kono planning. Two independent variables were investigated using nine experimental design points with twelve randomized replications at each point. The obtained experimental data were processed through regression analysis to establish linear, quadratic, and interaction effects between the selected technological factors. The adequacy and statistical reliability of the developed model were verified using Cochran's homogeneity criterion, Student's significance test, and Fisher's adequacy criterion at a confidence probability of 95%. The statistical analysis confirmed that the proposed regression model adequately represents the experimental observations and accurately describes the nonlinear behaviour of the spinning process under varying electric drive operating conditions. The developed mathematical model makes it possible to quantitatively predict productivity changes resulting from simultaneous variations in drive failure duration and motor speed reduction. The obtained response surface provides a practical tool for selecting rational operating conditions that minimise productivity losses while improvi…
subject: Articles
  topic: section
subject: electric drive
  topic: keywords
subject: ring spinning machine
  topic: keywords
subject: mathematical model
  topic: keywords
subject: response surface methodology
  topic: keywords
subject: regression analysis
  topic: keywords
subject: experimental design
  topic: keywords
creator: Nazirjon Aripov
creator: Bekmurod Tojiyev
rights: Copyright (c) 2026 Nazirjon Aripov, Bekmurod Tojiyev (Author)
date: 2026-04-21
publication date: 2026-04-21
starting page: 193
ending page: 204
doi: 10.51699/ehmgsm75

ANALYSIS OF CALCULATION RESULTS OF VIBRATION OF BELT CONVEYOR ROLLER MECHANISMS
type: item
description: The article presents the determination of the roller mechanisms of the belt conveyor according to the vibrations of the outer shell, taking into account the values of the technological load and friction force. The laws of the displacement of the outer shell of the part acting as a sliding support used in the roller mechanism, the change in the vibration speed are obtained. Their recommended values are based on the analysis of the parameters and changes in the modes of movement of the roller, as well as the graphs of the dependence of the technological resistance of the transported product on the parameters of the roller.
subject: Articles
  topic: section
subject: belt conveyor
  topic: keywords
subject: stiffness
  topic: keywords
subject: load
  topic: keywords
subject: roller
  topic: keywords
subject: guide
  topic: keywords
creator: Jumaev Akbarjon Sayfullaevich
creator: Abdurakhmanova Muattar Musurmakulovna
rights: Copyright (c) 2026 Jumaev Akbarjon Sayfullaevich, Abdurakhmanova Muattar Musurmakulovna (Author)
date: 2026-07-07
publication date: 2026-07-07
starting page: 1
ending page: 7
doi: 10.51699/6g5y6888

ARTIFICIAL INTELLIGENCE FOR POWER QUALITY OPTIMIZATION IN RENEWABLE ENERGY CIRCULATION RELATIONS
type: item
description: Background: The rising adoption of renewable power systems throughout present-day distribution systems has produced various obstacles which affect the delivery of stable power with high quality. The irregular operation of solar and wind power systems creates multiple problems which include voltage changes and harmonic interference and unstable power grid frequency. Methods: The study used a quantitative cross-sectional survey framework to assess AI systems optimize power quality for renewable energy networks which serve American power distribution systems. A total of 185 respondents, including engineers, utility operators, and energy researchers, participated in a structured questionnaire. Pearson correlation along with descriptive statistics based on percentage analysis to study the connection between AI adoption rates and power system performance indicators. Results: AI technology produces a 26% rise in fault detection precision and creates a 20% improvement in load distribution performance and voltage network stability. Machine Learning stands as the most popular AI method which receives 28% of usage while Neural Networks follow with 22% usage. AI adoption creates strong positive connections with power quality and system reliability and fault detection efficiency according to correlation analysis results r = 0.78, 0.74, and 0.81 respectively. The deployment of this technology faces three main obstacles which include expensive installation costs that affect 25% of users and 22% of users struggle to find qualified personnel and 15% of users need to handle security threats. Conclusion: Artificial Intelligence plays a crucial role in enhancing power quality and reliability in renewable energy distribution networks.
subject: Articles
  topic: section
subject: Distribution Network
  topic: keywords
subject: Power Quality
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
creator: Md Shahdat Hossain
creator: Farabi Hasan Chadni
creator: Md Atiqur Rahman
rights: Copyright (c) 2026 Md Shahdat Hossain, Farabi Hasan Chadni, Md Atiqur Rahman (Author)
date: 2023-04-01
publication date: 2023-04-01
starting page: 129
ending page: 138
doi: 10.51699/y2xfck12

DETERMINATION OF ANALYTICAL DEPENDENCE AND NUMERICAL CALCULATION OF TORQUE AND DISPLACEMENT OF VIBRATION OF THE SUPPORT OF AN INTERNAL COMBUSTION ENGINE
type: item
description: This article examines the analytical determination of torque and numerical calculation of vibration displacement of a mobile vehicle's internal combustion engine mount. An analytical relationship between engine torque, mount stiffness, damping coefficient, and vibration displacement is developed. Key mathematical modeling methods based on differential equations of motion, numerical solution methods, and computer simulation are presented. The results obtained allow for improved accuracy in predicting dynamic loads, reducing engine vibration levels, increasing the service life of mounts, and enhancing the reliability of mobile vehicles.
subject: Articles
  topic: section
subject: internal combustion engine
  topic: keywords
subject: engine support
  topic: keywords
subject: numerical calculation
  topic: keywords
subject: dynamic loads
  topic: keywords
subject: damping
  topic: keywords
creator: Matmurodov Farkhod Matqurbonovich
rights: Copyright (c) 2026 Matmurodov Farkhod Matqurbonovich (Author)
date: 2026-06-30
publication date: 2026-06-30
starting page: 70
ending page: 75
doi: 10.51699/8xjnkc87

A MODEL FOR THE INTEGRATION OF MULTI-SOURCE DATA AND AUTOMATIC QUALITY CONTROL IN EMERGENCY-SITUATION MONITORING
type: item
description: This article proposes a model for converting multi-source heterogeneous data into a single format and automatically controlling its quality in the monitoring of emergency situations (ES). The model covers five sources (seismic, hydrometeorological, satellite, IoT-sensor, and institutional) and performs range checking, missing-value and duplicate detection, unit normalization, statistical outlier detection (IQR), and domain-specific reliability checks. The model was tested on real open data — 267 records from the USGS earthquake catalog: 88.4% of records were recognized as valid, while 31 records (including 29 of low reliability — azimuthal gap > 180°) were automatically flagged. The results show that the model performs identically on real and simulated data and provides clean, ready input for a forecasting model.
subject: Articles
  topic: section
subject: emergency situations
  topic: keywords
subject: monitoring
  topic: keywords
subject: data integration
  topic: keywords
subject: quality control
  topic: keywords
subject: multi-hazard approach
  topic: keywords
creator: Razokova Mahfiza Khabibovna
creator: Absalamov Rashid Amirovich
rights: Copyright (c) 2026 Razokova Mahfiza Khabibovna, Absalamov Rashid Amirovich (Author)
date: 2026-05-28
publication date: 2026-05-28
starting page: 188
ending page: 192
doi: 10.51699/pjpnp042

COMPARATIVE ANALYSIS OF METHODS FOR INCREASING THE CAPACITY OF FIBER-OPTIC COMMUNICATION LINES AND EVALUATION OF A SINGLE-FIBER TRANSMISSION METHOD USING Y-SPLITTERS
type: item
description: The continuous growth of broadband traffic and the limited availability of optical fibers in existing fiber-optic communication networks require the development of cost-effective methods for increasing transmission capacity. This paper presents a comparative analysis of conventional approaches, including deployment of new fiber-optic communication lines, wavelength-division multiplexing (WDM), and transmission rate enhancement, together with a proposed method based on converting dual-fiber optical transmission systems into a single-fiber mode using passive optical Y-splitters. A mathematical model based on signal-to-noise ratio (SNR), bit error rate (BER), and optical power budget analysis is developed. The obtained results demonstrate that the proposed method increases effective fiber utilization by 1.8–2 times while maintaining transmission quality within standardized limits. The approach is particularly suitable for rural and regional communication networks characterized by limited budgets and a shortage of available optical fibers.
subject: Articles
  topic: section
subject: fiber-optic communication systems
  topic: keywords
subject: single-fiber transmission
  topic: keywords
subject: Y-splitter
  topic: keywords
subject: SNR
  topic: keywords
subject: BER
  topic: keywords
subject: optical power budget
  topic: keywords
subject: broadband access
  topic: keywords
subject: optical networks
  topic: keywords
creator: Kiyamov Rakhmatullo Ruziyevich
rights: Copyright (c) 2026 Kiyamov Rakhmatullo Ruziyevich (Author)
date: 2026-06-20
publication date: 2026-06-20
starting page: 60
ending page: 69
doi: 10.51699/memr4751

DESIGNING MODERN CLOTHING USING LOCAL TEXTILE MATERIALS BASED ON SUSTAINABLE DEVELOPMENT PRINCIPLES
type: item
description: This article investigates the design of modern garments using local textile materials based on sustainable development principles. The ecological, economic, and aesthetic advantages of locally produced fabrics were analyzed, and their potential application in contemporary fashion design was evaluated. The study proposes environmentally friendly design approaches that integrate national textile traditions with modern fashion requirements. The results demonstrate that the use of local materials contributes to sustainable production, cultural preservation, and increased competitiveness in the light industry sector.
subject: Articles
  topic: section
subject: sustainable development
  topic: keywords
subject: fashion design
  topic: keywords
subject: eco-design
  topic: keywords
subject: local textiles
  topic: keywords
subject: light industry
  topic: keywords
subject: innovation
  topic: keywords
subject: national heritage
  topic: keywords
subject: fabric design
  topic: keywords
creator: Mamatkulova Kunduzkhon Umarovna
creator: Resi Sepsilia Elvera
rights: Copyright (c) 2026 Mamatkulova Kunduzkhon Umarovna, Resi Sepsilia Elvera (Author)
date: 2026-06-20
publication date: 2026-06-20
starting page: 47
ending page: 59
doi: 10.51699/xnxgcf96

Artificial Intelligence-Driven Cyber Threat Detection for Protecting Critical Digital Infrastructure
type: item
description: Background: Energy grids and healthcare systems and financial networks and transportation systems more vulnerable to sophisticated cyber threats. The signature-based detection systems which rule-based cybersecurity methods use no longer provide sufficient protection against advanced persistent threats and zero-day exploits and AI-driven cyberattacks. Methods: We conducted their investigation through a data-based system which used simulated data that demonstrated actual conditions of essential infrastructure systems which included energy and healthcare and financial institutions. The dataset includes 500 entries which contain network traffic information and system operation patterns and transaction data elements that show both regular and harmful system activities. Random Forest and Gradient Boosting and Long Short-Term Memory (LSTM) and Auto encoder models through their performance on accuracy and precision and recall and F1-score and detection latency and error rates. Result: This finding demonstrate that AI-powered systems deliver better results than conventional methods because they produce accuracy percentages which range from 92% to 97%. Auto encoder model which uses deep learning techniques achieved the best results with 96.7% accuracy and maintained a false positive rate of 3.5%. The system achieved threat detection times which dropped by more than 90% to provide organizations with the ability to detect threats in real time. Conclusion: The models demonstrated outstanding performance when they needed to identify complex cyber threats included advanced persistent threats and zero-day attacks.
subject: Articles
  topic: section
subject: Cyber Threat
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Critical Infrastructure
  topic: keywords
subject: Threat Detection
  topic: keywords
subject: Cyberattacks
  topic: keywords
creator: Chowdhury Amin Abdullah
creator: Md Jahidul Islam Ridoy
rights: Copyright (c) 2023 Chowdhury Amin Abdullah, Md Jahidul Islam Ridoy (Author)
date: 2023-10-28
publication date: 2023-10-28
starting page: 76
ending page: 83
doi: 10.51699/zb8kwv06

FORECASTING ROAD TRAFFIC CAPACITY USING MATHEMATICAL MODELING OF TRAFFIC FLOW DYNAMICS
type: item
description: The rapid growth of urbanization, motorization, and transportation demand has significantly increased the complexity of traffic management in modern cities. Accurate forecasting of road traffic capacity has therefore become a crucial task for transportation engineers, urban planners, and policymakers seeking to improve mobility, reduce congestion, and optimize infrastructure utilization. This study presents a mathematical modeling framework for predicting road traffic capacity based on fundamental traffic flow dynamics. The proposed approach employs the classical relationship between traffic flow, traffic density, and average vehicle speed and integrates an exponential speed–density function to describe nonlinear traffic behavior under varying congestion conditions. The mathematical model enables the determination of critical traffic density and maximum traffic throughput through analytical optimization of the flow–density relationship. Numerical simulations were conducted using a wide range of traffic density values to evaluate the model’s predictive performance and investigate congestion formation mechanisms. The simulation results demonstrate that traffic flow increases with density up to a critical threshold, beyond which traffic instability and congestion effects emerge, causing a reduction in operational efficiency. Furthermore, the model successfully reproduces the nonlinear characteristics of real traffic systems and provides physically interpretable estimates of roadway capacity. The findings indicate that the proposed modeling approach can serve as an effective tool for short-term and medium-term traffic forecasting, transportation planning, and intelligent transportation system applications. The model is computationally efficient, analytically transparent, and easily adaptable to various road network conditions. In addition, the framework creates opportunities for integration with real-time traffic monitoring technologies, sensor networks, and artificial …
subject: Articles
  topic: section
subject: Road Traffic Capacity
  topic: keywords
subject: Traffic Flow Dynamics
  topic: keywords
subject: Traffic Capacity Forecasting
  topic: keywords
subject: Mathematical Modeling
  topic: keywords
subject: Traffic Density
  topic: keywords
subject: Traffic Flow Theory
  topic: keywords
subject: Congestion Analysis
  topic: keywords
subject: Transportation Engineering
  topic: keywords
subject: Intelligent Transportation Systems (ITS)
  topic: keywords
subject: Traffic Simulation
  topic: keywords
subject: Urban Traffic Management
  topic: keywords
subject: Roadway Performance Evaluation
  topic: keywords
subject: Nonlinear Traffic Models
  topic: keywords
subject: Transportation Planning
  topic: keywords
subject: Traffic Optimization
  topic: keywords
creator: Mamadaliev Foziljon Abdullaevich
rights: Copyright (c) 2026 Mamadaliev Foziljon Abdullaevich (Author)
date: 2026-06-22
publication date: 2026-06-22
starting page: 40
ending page: 46
doi: 10.51699/15fms907

CONSUMER-ORIENTED DESIGN STRATEGIES FOR MODERN LIGHT INDUSTRY PRODUCTS
type: item
description: This article discusses the importance of consumer-oriented design strategies in the development of modern light industry products. The study analyzes the main factors influencing the creation of competitive products, including consumer needs, ergonomic indicators, aesthetic requirements, and functional characteristics. Special attention is paid to the use of digital technologies, innovative design methods, and sustainable development principles in the product development process. The research results show that a deep analysis of consumer requirements contributes to improving product quality, expanding market opportunities, and strengthening the competitiveness of light industry enterprises. A consumer-oriented approach enables the creation of modern, comfortable, and highly demanded products that meet the requirements of a rapidly developing market. The findings indicate that the implementation of consumer-oriented design strategies serves as a critical factor in improving product innovation, increasing market adaptability, and ensuring sustainable growth within the light industry sector. Consequently, the research provides valuable theoretical and practical insights for designers, manufacturers, and industry stakeholders seeking to develop products that effectively respond to evolving consumer demands.
subject: Articles
  topic: section
subject: consumer-oriented design
  topic: keywords
subject: light industry
  topic: keywords
subject: ergonomics
  topic: keywords
subject: fashion
  topic: keywords
subject: innovation
  topic: keywords
subject: product design
  topic: keywords
subject: digital technologies
  topic: keywords
creator: Mamatkulova Kunduzkhon Umarovna
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology https://creativecommons.org/licenses/by/4.0
date: 2026-06-22
publication date: 2026-06-22
starting page: 32
ending page: 39
doi: 10.51699/8dv9hm63

Leveraging Strategic Management Information Systems for Organizational Resilience: Integrating Artificial Intelligence, Financial Risk Mitigation, and Sustainable Marketing
type: item
description: Strategic Management Information Systems (SMIS) have emerged as critical tools for enhancing organizational resilience in an increasingly dynamic, technology-driven, and uncertain business environment. This study examines the integration of artificial intelligence (AI), financial risk mitigation strategies, and sustainable marketing practices within SMIS to strengthen organizational performance and long-term sustainability. The review highlights the role of SMIS in supporting strategic decision-making, resource optimization, risk assessment, and organizational adaptability through the effective management and analysis of information. The integration of enterprise systems such as Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), and Risk Management Information Systems (RMIS) enables organizations to develop a comprehensive understanding of operational performance and potential risks. Artificial intelligence significantly enhances SMIS by improving data management, predictive analytics, decision support, and operational automation. AI-driven technologies facilitate real-time analysis of large datasets, enabling organizations to forecast trends, identify emerging risks, and optimize business processes. Predictive analytics further strengthens financial risk mitigation by providing proactive insights into market volatility, credit risk, and operational uncertainties. The study also emphasizes the growing importance of sustainable marketing, where AI supports environmentally responsible business practices through customer behavior analysis, personalized marketing, resource optimization, and supply chain efficiency. Organizational resilience is reinforced through effective leadership, governance, knowledge sharing, continuous learning, and strategic alignment. These factors enable organizations to anticipate, adapt to, and recover from disruptions while maintaining competitive advantage. The findings suggest that organizations adopting these inte…
subject: Articles
  topic: section
subject: Strategic Management Information Systems (SMIS)
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Organizational Resilience
  topic: keywords
subject: Financial Risk Mitigation
  topic: keywords
subject: Sustainable Marketing
  topic: keywords
creator: Md. Nazmul Haque
creator: Md. Sohel Masud
rights: Copyright (c) 2025 Md. Nazmul Haque, Md. Sohel Masud (Author)
date: 2025-12-01
publication date: 2025-12-01
starting page: 154
ending page: 168
doi: 10.51699/92fh3c79

Course Equations for Studying The Stability and Controllability of Wheeled Machines
type: item
description: The controllability and stability of self-propelled energy vehicles are key parameters that determine their effectiveness in agricultural production and safety during transportation work. This work examines the course equations of wheeled machines used to analyze their stability and controllability. The influence of steering, the features of hydraulic steering systems, and their influence on the dynamic characteristics of machines are being investigated. Mathematical models are presented that take into account the rolling angles of the wheels, the transverse tilt of the machine frame, and the correction factors reflecting the influence of external factors on the stability of the movement. The obtained results can be used to optimize the structural parameters of steering and improve the safety of wheeled vehicles during their operation on public roads.
subject: Articles
  topic: section
subject: Course movement
  topic: keywords
subject: controllability
  topic: keywords
subject: stability
  topic: keywords
subject: steering
  topic: keywords
subject: drift angles
  topic: keywords
subject: transverse tilt
  topic: keywords
subject: wheeled machines
  topic: keywords
creator: Tursunov Ibragim Samandarovich
creator: Ibragimov Botir Dastamovich
rights: Copyright (c) 2025 Tursunov Ibragim Samandarovich, Ibragimov Botir Dastamovich (Author)
date: 2025-12-20
publication date: 2025-12-20
starting page: 147
ending page: 153
doi: 10.51699/5e4je585

Numerical Solution of a Nonlinear Fractional Diffusion Problem
type: item
description: This article constructs a numerical solution for a nonlinear diffusion equation with a time-fractional derivative. The considered problem is posed on a semi-infinite domain, where the diffusion coefficient is expressed through a power function of the solution. The boundary condition of the problem also has a nonlinear form. The time-fractional derivative is discretized by an L1-type fractional difference approximation, while the spatial operator is discretized by the finite difference method in conservative form. The nonlinear diffusion coefficient is taken from the previous time layer, leading to a semi-implicit scheme. As a result, a tridiagonal system of linear algebraic equations is obtained at each time layer. This approach simplifies the computational process, improves stability, and provides a convenient framework for practical implementation.
subject: Articles
  topic: section
subject: : fractional derivative
  topic: keywords
subject: Caputo derivative
  topic: keywords
subject: L1 scheme
  topic: keywords
subject: nonlinear diffusion
  topic: keywords
subject: semi-implicit scheme
  topic: keywords
creator: Xolmurzayeva Nigora Abdumurotovna
rights: Copyright (c) 2026 Xolmurzayeva Nigora Abdumurotovna (Author)
date: 2026-04-28
publication date: 2026-04-28
starting page: 179
ending page: 187
doi: 10.51699/bvtfbp52

MECHATRONIC CONTROL ALGORITHM FOR AN AUTOMOTIVE COOLING SYSTEM FAN
type: item
description: This paper investigates a mechatronic control algorithm aimed at improving the operational efficiency and optimizing the energy consumption of a passenger car cooling system fan. The negative impacts of the conventional ON/OFF (switching) method on system stability, electrical grid current surges, and the mechanical durability of motors are analyzed. To simultaneously ensure the operational economy and thermal stability of the system, an adaptive mechatronic control algorithm is considered, which modifies control parameters in accordance with the current operating modes of the engine. In the proposed mechatronic system, the fan voltage and rotation speed are controlled in a stepped and smooth manner according to temperature variations. The advantages of the proposed algorithm are evaluated for high ambient temperatures and heavy urban traffic conditions. The results indicate that mechatronic control allows for reducing mechanical loads on fan motors, saving electrical energy, and maintaining the engine temperature stably within the optimal operational range.
subject: Articles
  topic: section
subject: cooling system
  topic: keywords
subject: fan
  topic: keywords
subject: mechatronic control
  topic: keywords
subject: ON/OFF algorithm
  topic: keywords
subject: adaptive control
  topic: keywords
subject: thermal stability
  topic: keywords
subject: energy efficiency
  topic: keywords
subject: passenger car
  topic: keywords
subject: voltage regulation
  topic: keywords
creator: A.I. Yangibayev
creator: F.SH. Umerov
rights: Copyright (c) 2026 A.I. Yangibayev, F.SH. Umerov (Author)
date: 2026-06-02
publication date: 2026-06-02
starting page: 25
ending page: 31
doi: 10.51699/sew9xh28

THE IMPACT OF INTEGRATING LEAN MANUFACTURING AND QUALITY MANAGEMENT SYSTEMS ON ENTERPRISE EFFICIENCY
type: item
description: This article investigates the implementation of a quality management system based on lean production principles and the assessment of its effectiveness. The study analyzes approaches aimed at reducing losses in production processes, ensuring efficient use of resources, and continuously improving quality. In particular, production processes were optimized based on 5S, Kaizen, value stream analysis, and standardized work methods. The results showed that integrating lean production elements with the quality management system helps reduce defect levels, decrease production costs, and improve management efficiency in enterprises.
subject: Articles
  topic: section
subject: lean production
  topic: keywords
subject: quality management system
  topic: keywords
subject: value stream analysis
  topic: keywords
subject: standardization
  topic: keywords
creator: Boykishiyeva Dilnozakhon Abdusalomovna
rights: Copyright (c) 2026 Boykishiyeva Dilnozakhon Abdusalomovna (Author)
date: 2026-06-10
publication date: 2026-06-10
starting page: 17
ending page: 24
doi: 10.51699/5sdr6h36

MATHEMATICAL ANALYSIS OF THE R-PARAMETRIC OPERATION PRESENTED IN THE O'ZMST 286:2024 STANDARD
type: item
description: This article mathematically analyzes the R parametric multiplication operation introduced in the national standard of the Republic of Uzbekistan O'zMSt 286:2024 "Processes of generating and verifying electronic digital signatures". The theoretical foundations of the parametric multiplication and exponentiation operations presented in the standard are considered, and the computational processes generated on the basis of these operations are analyzed using examples. In particular, the commutativity of the parametric multiplication operation, the determination of the inverse element, and the exponentiation processes are mathematically considered. Additionally, the computational efficiency of the method recommended in the standard is analyzed during the calculation of large powers, and the possibility of optimizing this calculation is demonstrated. The research results determine that certain computational processes related to the R-parametric operation can be simplified.
subject: Articles
  topic: section
subject: Electronic Digital Signature
  topic: keywords
subject: Cryptography
  topic: keywords
subject: Parametric Multiplication
  topic: keywords
subject: Modular Arithmetic
  topic: keywords
subject: Discrete Logarithm
  topic: keywords
subject: Cryptographic Algorithms
  topic: keywords
creator: N. R. Zaynalov
creator: U. B. Sharipova
creator: B. Sh. Ibrohimov
creator: O. A. Oydinov
rights: Copyright (c) 2026 N. R. Zaynalov, U. B. Sharipova, B. Sh. Ibrohimov, O. A. Oydinov (Author)
date: 2026-06-08
publication date: 2026-06-08
starting page: 12
ending page: 16
doi: 10.51699/sx8rqc40

MORPHOLOGICAL CHARACTERIZATION BY SCANNING ELECTRON MICROSCOPY (SEM) OF COMPOSITE ADSORBENTS DERIVED FROM PLANT HUSK WASTE: A BASIS FOR DEVELOPING ECO-FRIENDLY MATERIALS FOR POLLUTANT ADSORPTION
type: item
description: This study investigates the morphological features, obtained by scanning electron microscopy (SEM), of individual activated carbons prepared from agricultural and fruit-processing wastes apricot stone shells, walnut shells and grape seed shells and of their three-component composite adsorbent. The samples were pyrolysed at 600 °C in an inert atmosphere, chemically activated with KOH, and converted into a composite by mechanical mixing in an equal mass ratio (1:1:1) followed by a secondary heat treatment (300 °C). SEM analysis revealed that each precursor forms a distinct carbon skeleton: the apricot pyrolysate showed an open cellular (honeycomb-like) structure (cell density 400–600 cells/mm²), the walnut pyrolysate a dense sponge-like 3D-interconnected structure (800–1000 cells/mm²), and the grape pyrolysate a lamellar (plate-like) and “Swiss-cheese” morphology. KOH activation opened the cell walls in all samples and generated submicron pores (200–500 nm). The composite developed a hybrid “cheese–cellular–plate” morphology, absent in any individual component, together with a zone rich in uniformly sized (1–2 µm) circular pores, which morphologically confirms the synergistic effect of compositing. The resulting granular commercial form (0.3–0.8 mm) indicates the potential of the composite for industrial-scale application.
subject: Articles
  topic: section
subject: Scanning Electron Microscopy (SEM)
  topic: keywords
subject: Composite Adsorbent
  topic: keywords
subject: Activated Carbon
  topic: keywords
subject: Apricot Stone Shell
  topic: keywords
subject: Walnut Shell
  topic: keywords
subject: Grape Seed Shell
  topic: keywords
subject: Pyrolysis
  topic: keywords
subject: KOH Activation
  topic: keywords
subject: Hierarchical Porosity
  topic: keywords
subject: Morphology
  topic: keywords
subject: Wastewater Treatment
  topic: keywords
creator: Karimova Zarifa
creator: Nurmurodov Tulqin
rights: Copyright (c) 2025 Karimova Zarifa, Nurmurodov Tulqin (Author)
date: 2025-11-30
publication date: 2025-11-30
starting page: 121
ending page: 127
doi: 10.51699/ydk79y49

PHYSICO-CHEMICAL, TEXTURAL AND OPERATIONAL PROPERTIES OF CATALYSTS OBTAINED FROM LOCAL MINERAL RAW MATERIALS AND INDUSTRIAL TECHNOGENIC WASTE
type: item
description: The physico-chemical, textural, mechanical and operational properties of catalysts prepared from local mineral raw materials Oltintog’ and Angren kaolins, various grades of Navbahor bentonite, and Karmana opaque zeolite-bearing rocks together with industrial technogenic waste (metal-oxide active components) were studied. The supports were modified thermally, by acid treatment and hydrothermally; CuO, Bi2O3, NiO, CoO, ZnO, Cr2O3 and CdO were used as active components. The samples were characterized by IR spectroscopy, X-ray phase analysis (Rietveld method), scanning electron microscopy (SEM-EDS), a Shimadzu AGS-X mechanical testing machine, and water- and benzene-vapour adsorption isotherms (BET) measured on a McBain–Bakr balance. The results showed that the catalysts possess both Brønsted and Lewis acid sites, exhibit type IV adsorption isotherms, and have specific surface areas of 180–198 m2/g and crushing strengths of 44–60 kg/cm2. Bentonite-supported catalysts were distinguished by relatively higher specific surface area, mechanical strength and resistance to poisoning. The study substantiates the feasibility of converting cheap local raw materials and technogenic waste into value-added catalysts (a resource-efficient, circular approach).
subject: Articles
  topic: section
subject: Aluminosilicate
  topic: keywords
subject: Kaolin
  topic: keywords
subject: Bentonite
  topic: keywords
subject: Zeolite
  topic: keywords
subject: Catalyst
  topic: keywords
subject: Local Raw Material
  topic: keywords
subject: Technogenic Waste
  topic: keywords
subject: Brønsted and Lewis Acid Sites
  topic: keywords
subject: Adsorption Isotherm
  topic: keywords
subject: Specific Surface Area
  topic: keywords
subject: Rietveld Analysis
  topic: keywords
subject: Mechanical Strength
  topic: keywords
creator: Umrzokov Abdulla
creator: Mukhitdinov Boxodir
creator: Vapoyev Xusniddin
rights: Copyright (c) 2025 Umrzokov Abdulla, Mukhitdinov Boxodir, Vapoyev Xusniddin (Author)
date: 2025-11-30
publication date: 2025-11-30
starting page: 113
ending page: 120
doi: 10.51699/ad7nzq63