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: 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
items: CLASSIFICATION OF NATURAL AND MAN-MADE EMERGENCIES
items: STRUCTURAL-DERIVATIONAL STUDY OF SYNONYMY, HOMONYMY, AND POLYSEMY PHENOMENA IN METALLURGICAL TERMINOLOGY
items: INTEGRATED GPU-BASED MODELING OF MEDICAL DATABASE MANAGEMENT SYSTEMS
items: THE ROLE OF DIGITAL TWIN TECHNOLOGY IN ENHANCING INVENTORY VISIBILITY AND REDUCING BOTTLENECKS IN COMPLEX MANUFACTURING SYSTEMS
items: Digital Transformation of the Construction Design Based on the Building Information Modelling
items: THE FACTORS AFFECTING ON THE GAS SENSING: REVIEW
items: MATHEMATICAL MODELING AND EFFICIENCY EVALUATION OF A HYDROSTATIC REGENERATIVE BRAKING SYSTEM IN QUARRY DUMP TRUCKS
items: ON THE PROBLEM OF WASTEWATER FORMATION, DISPOSAL, TREATMENT, AND DISCHARGE
items: SCIENTIFIC FOUNDATIONS OF THE HARMONISATION OF ERGONOMICS, PRODUCTION, AND HUMAN HEALTH

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

CLASSIFICATION OF NATURAL AND MAN-MADE EMERGENCIES
type: item
description: Improved or developed methodologies for analyzing various types of emergencies make it possible to predict them. However, these methods are generating debate on a number of issues, one of which is the problem of identifying the determining factors that shape the risk of natural and man-made emergencies in the study area. Addressing this and a number of other issues requires the use of specialized methods, which have been largely neglected to date. Many hazards are multifaceted (floods can be devastating for cities, paralyzing for flooded roads, or depleting agricultural lands). Based on the areas affected by the disaster, natural risks are classified by their magnitude.
subject: Articles
  topic: section
subject: Earthquake
  topic: keywords
subject: Flood
  topic: keywords
subject: Tectonic Movements
  topic: keywords
subject: Danger
  topic: keywords
subject: Emergency Situations
  topic: keywords
creator: Khodjakulov Mukhtorjon Nazarkulovich
rights: Copyright (c) 2026 Khodjakulov Mukhtorjon Nazarkulovich (Author)
date: 2026-06-03
publication date: 2026-06-03
starting page: 7
ending page: 11
doi: 10.51699/e5z9tz47

STRUCTURAL-DERIVATIONAL STUDY OF SYNONYMY, HOMONYMY, AND POLYSEMY PHENOMENA IN METALLURGICAL TERMINOLOGY
type: item
description: This article provides a profound structural-derivational analysis of synonymy, homonymy, and polysemy phenomena found in English metallurgical terminology. Due to the rapid development of the metallurgical industry's terminology under the conditions of modern scientific and technological progress, studying the semantic and structural characteristics of its lexical units is of significant importance. Throughout the research, the formation sources of metallurgical terms, their derivational models, as well as the semantic relationships between terms are systematically analyzed. In the article, the phenomenon of synonymy is highlighted through the expression of metallurgical terms in alternative forms, based on their scope of application and functional differences. The phenomenon of homonymy is examined through the example of terms that possess the same form but carry different meanings, and the mechanisms of their contextual differentiation are identified. Within the framework of the polysemy phenomenon, the expression of several interrelated meanings by a single term is analyzed based on the stages of their historical and functional development. Based on a structural-derivational approach, the study investigates metallurgical terms formed through word-building methods such as affixation, composition, and conversion, revealing the processes of their semantic expansion and specialization. Furthermore, the interactions of English metallurgical terminology with the terminology of other languages, particularly the Uzbek language, and translation challenges are partially covered. The results of this article serve as a theoretical and practical basis for systematizing metallurgical terminology, accurately interpreting scientific-technical texts, and compiling terminological dictionaries.
subject: Articles
  topic: section
subject: Metallurgical Terminology
  topic: keywords
subject: English Language
  topic: keywords
subject: Synonymy
  topic: keywords
subject: Homonymy
  topic: keywords
subject: Polysemy
  topic: keywords
subject: Structural Analysis
  topic: keywords
subject: Derivation
  topic: keywords
subject: Term Formation
  topic: keywords
subject: Semantic Relationships
  topic: keywords
subject: Lexical Units
  topic: keywords
subject: Scientific-Technical Terms
  topic: keywords
subject: Context
  topic: keywords
subject: Terminological System
  topic: keywords
subject: Linguistic Research
  topic: keywords
creator: O'tkirova Shahlo Asqar qizi
rights: Copyright (c) 2026 O'tkirova Shahlo Asqar qizi (Author)
date: 2026-06-02
publication date: 2026-06-02
starting page: 1
ending page: 6
doi: 10.51699/cmctr150

INTEGRATED GPU-BASED MODELING OF MEDICAL DATABASE MANAGEMENT SYSTEMS
type: item
description: The rapid growth of medical data volumes and the increasing complexity of analytical tasks require database management systems (DBMS) with high computational efficiency, scalability, and reliability. Modern information technologies, particularly graphics processing units (GPUs), provide powerful tools for accelerating data-intensive operations through massive parallelism. This paper presents an integrated overview of GPU architectures and their application in modeling and optimizing medical database management systems. We analyze key GPU architectural solutions (G80, GT200, and Fermi), the CUDA parallel programming model, and memory hierarchies, and demonstrate their relevance for medical data storage, processing, and signal analysis. The proposed integrated approach enables efficient processing of medical signals and images, supports large-scale databases, and reduces computational and economic costs in internet-based medical applications.
subject: Articles
  topic: section
subject: Medical Databases
  topic: keywords
subject: GPU Computing
  topic: keywords
subject: CUDA
  topic: keywords
subject: Parallel Processing
  topic: keywords
subject: Information Technology
  topic: keywords
subject: Medical Data Modeling
  topic: keywords
creator: Rakhimov Bakhtiyar Saidovich
creator: Sobirova Sabokhat Kabulovna
creator: Rakhimova Feroza Bakhtiyarovna
creator: Allayarova Asal Akabarovna
creator: Saidov Atabek Bakhtiyarovich
rights: Copyright (c) 2026 Rakhimov Bakhtiyar Saidovich, Sobirova Sabokhat Kabulovna, Rakhimova Feroza Bakhtiyarovna , Allayarova Asal Akabarovna, Saidov Atabek Bakhtiyarovich (Author)
date: 2026-05-31
publication date: 2026-05-31
starting page: 174
ending page: 178
doi: 10.51699/j329t768

THE ROLE OF DIGITAL TWIN TECHNOLOGY IN ENHANCING INVENTORY VISIBILITY AND REDUCING BOTTLENECKS IN COMPLEX MANUFACTURING SYSTEMS
type: item
description: Industry 4.0 technologies as well as, Digital Twin technology has significantly changed the manufacturing industry as it allows real-time monitoring, simulating, and analyzing physical systems. The study examines how Digital Twin can be used to improve inventory visibility and reduce the number of bottlenecks in complex manufacturing environments. Digital Twin can be used to minimize inefficiencies and transform the overall work performance through the increased transparency of supply chains and streamlined production processes. Methods: The research methodology was quantitative with the secondary data sources at Bureau of Economic Analysis (BEA). The correlation analysis, paired t-tests, and multiple regression analysis were employed to evaluate the correlation between Digital Twin technology and the most important manufacturing parameters, including inventory management and production efficiency. Results: The findings show that Digital Twin technology can have a strong positive impact on the production efficiency and inventory visibility, especially with the help of real-time data and foretelling analytic tools. Nonetheless, the decrease in bottlenecks was not as significant as it should have been, and Digital Agility and Digital Flexibility had minimal impacts on reduction of the bottlenecks. The paper also indicates that Digital Twin technology will be beneficial in streamlining manufacturing, but the capability of workforce and system integration have to be tackled. Conclusion: Digital Twin can provide a viable option as a tool to improve inventory control and to minimize bottlenecks in manufacturing, to allow the creation of leaner, responsive, and greener manufacturing systems.
subject: Articles
  topic: section
subject: Digital Twin
  topic: keywords
subject: Inventory Visibility
  topic: keywords
subject: Bottleneck Reduction
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
creator: Md. Rezaul Haque
creator: Fazle Alahi Bhuiyan
rights: Copyright (c) 2024 Md. Rezaul Haque, Fazle Alahi Bhuiyan (Author)
date: 2024-09-11
publication date: 2024-09-11
starting page: 317
ending page: 327
doi: 10.51699/4t1d7131

Digital Transformation of the Construction Design Based on the Building Information Modelling
type: item
description: Background: The construction sector experiences an active digital evolution which Building Information Modelling (BIM) operates as essential technology to enhance design operations and project management and maintain better coordination between teams. Methods: The research used a quantitative approach to gather information through structured questionnaires which construction professionals including engineers and architects and project managers completed. The research team used purposive sampling to pick study participants who had direct experience working with BIM systems. The research instrument applied a 5-point Likert scale which evaluated BIM operational methods and fundamental BIM components including design efficiency and clash detection and visualization and collaboration and cost reduction and project success metrics. and Pearson correlation and multiple regression analysis to investigate the connections between different variables. Results: Projects that employ BIM will see significantly improved performance (i.e., example; clash detection (86.5%), visualization (84.1%), accuracy of the design (82.2%)). There is a strong positive correlation between BIM elements and the performance of the project as determined by correlation analysis (R=0.79). A regression also indicates that BIM can be accounted for as having contributed to the variations in project performance (R²=0.62). The role of design efficiency and clash detection are two important BIM elements that have been directly correlated to the success of construction based projects and their performance. Conclusion: Therefore, based on the findings of this study, it can be concluded that BIM serves a vital function in enhancing the construction process as well as improving project performance by increasing its efficiency.
subject: Articles
  topic: section
subject: Building Information Modelling (BIM)
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Construction Industry
  topic: keywords
subject: Project Performance
  topic: keywords
subject: Design Efficiency
  topic: keywords
creator: Mohd Tahseen Islam Talukder
creator: Nipa Akter
rights: Copyright (c) 2024 Innovative: International Multidisciplinary Journal of Applied Technology https://creativecommons.org/licenses/by/4.0
date: 2024-08-25
publication date: 2024-08-25
starting page: 297
ending page: 305
doi: 10.51699/5hx55f53

THE FACTORS AFFECTING ON THE GAS SENSING: REVIEW
type: item
description: In this review, we discussed the impact of oxygen vacancy, doping, film thickness, annealing temperature, and grain size on the gas sensing. One of the most common defects in thin films is oxygen vacancies, whose concentration varies based on the growth time and the microstructure of the synthesis films. The vacancies of oxygen considered centers for the accumulation of charge carriers, which reducing their losses resulting from recombination and contributes the increasing the life time of photogenerated charge. In addition, the oxygen vacant sites act as active adsorption centers, increasing the amount of chemisorbed oxygen species (O_2^-,O^-) which pull electrons from the conduction band and lead to the creation of a surface depletion layer. Silver atoms on the WO3 sensor surface enhance oxygen adsorbed, thus increasing the chemically adsorbed species such as O^(2-), therefore Ag doping of the WO3 layer successfully improves NO sensitivity. A thicker layer contains more pores and clusters than a thinner layer. In this case, even reactant gas is depleted oxygen and fresh oxygen are introduced, the length of the delay time required for the oxygen to penetrate the thick layer results in slow reabsorption of oxygen ions. Increasing the surface roughness contributes to providing a large surface area, which allows a greater number gas molecules to interact with the surface of film. The number of cracks in the thin film’s material is related to an increase in resistance, which depends on the layer thickness and applied deformation. Although the cracks may be pathway for gas entrapment, they are also very likely to cause an electrical breakdown that in this area. Annealing in air leads to increased oxygen vacancies generation which enhances gas sensitivity. The grain size has a significant effect on gas sensor based on n-type semiconductor like tin oxide, where electrons pass through potential energy barriers. The number of these barriers, which form at the grain boundari…
subject: Articles
  topic: section
subject: Thin Film
  topic: keywords
subject: Oxygen Vacancy
  topic: keywords
subject: Grain Size
  topic: keywords
subject: Annealing Temperature
  topic: keywords
subject: Thickness
  topic: keywords
creator: Azhar Mohammed Abd
rights: Copyright (c) 2026 Azhar Mohammed Abd (Author)
date: 2026-05-22
publication date: 2026-05-22
starting page: 160
ending page: 173
doi: 10.51699/gj8t3070

MATHEMATICAL MODELING AND EFFICIENCY EVALUATION OF A HYDROSTATIC REGENERATIVE BRAKING SYSTEM IN QUARRY DUMP TRUCKS
type: item
description: This article examines the issues of improving energy efficiency in dump trucks operating under quarry conditions. The importance of hydrostatic regenerative technologies based on the recovery of kinetic energy lost during braking is scientifically substantiated. The study analyzes energy flows by considering vehicle operating modes, load levels, and driving conditions. The potential for reducing energy losses through the application of regenerative systems is identified. The processes of energy storage in hydraulic accumulators and its efficient utilization are evaluated. The results demonstrate the potential to reduce fuel consumption, improve environmental performance, and decrease exhaust emissions.
subject: Articles
  topic: section
subject: Regenerative Systems
  topic: keywords
subject: Energy-Saving Technologies
  topic: keywords
subject: Hydrostatic Transmission
  topic: keywords
subject: Fuel Efficiency
  topic: keywords
subject: Energy Recovery
  topic: keywords
subject: Hydraulic Accumulator
  topic: keywords
subject: Environmental Performance
  topic: keywords
subject: Mathematical Modeling
  topic: keywords
creator: Pulatov T. R.
creator: Umrzoqov J. A.
creator: Xamidov Sh. X.
rights: Copyright (c) 2026 Pulatov T. R., Umrzoqov J. A., Xamidov Sh. X. (Author)
date: 2026-05-19
publication date: 2026-05-19
starting page: 153
ending page: 159
doi: 10.51699/rykc8n87

ON THE PROBLEM OF WASTEWATER FORMATION, DISPOSAL, TREATMENT, AND DISCHARGE
type: item
description: The article examines the theoretical and applied aspects of wastewater generation, drainage, treatment, and discharge into water bodies under conditions of increasing anthropogenic pressure on aquatic ecosystems. It provides a systematic analysis of wastewater generation sources, their quantitative and qualitative characteristics, modern transportation and treatment technologies, and environmental requirements for discharging treated water into water bodies. The study substantiates the need to implement integrated water management solutions based on the principles of a circular economy and sustainable development. Particular attention is paid to the application of best available technologies, the digitalization of monitoring processes, and the minimization of environmental risks.
subject: Articles
  topic: section
subject: Wastewater
  topic: keywords
subject: Sewerage
  topic: keywords
subject: Wastewater Treatment
  topic: keywords
subject: Permissible Discharge Standard
  topic: keywords
subject: Environmental Safety
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Circular Economy
  topic: keywords
creator: Jumanazarova L. S.
creator: Imomov. SH. N.
creator: Usmanov Sh. A.
rights: Copyright (c) 2026 Jumanazarova L. S. (Author)
date: 2026-05-17
publication date: 2026-05-17
starting page: 148
ending page: 152
doi: 10.51699/38t7sm13

SCIENTIFIC FOUNDATIONS OF THE HARMONISATION OF ERGONOMICS, PRODUCTION, AND HUMAN HEALTH
type: item
description: This article examines the relationship between ergonomics, production efficiency, and human health from both scientific and practical perspectives. The study rests on a straightforward premise: many workplace problems cannot be attributed solely to equipment failure or employee inattentiveness. In the majority of cases, the root cause lies elsewhere — in a workplace not adapted to the human being, a work pace that disregards physiological limits, an information flow that overwhelms the employee, and management that fails to identify hazards in time. The novelty of the study lies in treating ergonomics not as a narrow subject concerned with desk or chair specifications, but as an integral part of occupational safety, productivity, the prevention of occupational diseases, and safety culture. The analysis draws on the following documents of the Republic of Uzbekistan: Law No. URQ-410 "On Occupational Safety"; the Labour Code approved by Law No. URQ-798; Resolution No. CMR-819 on occupational safety regulations; Resolution No. CMR-263 on workplace attestation; and ILO Convention No. 155 ratified by Law No. URQ-969 . The analysis is further supported by international ergonomic standards, Resolution No. CMR-454 on occupational hygiene norms, and established findings from Russian and international ergonomics research.
subject: Articles
  topic: section
subject: ergonomics
  topic: keywords
subject: production
  topic: keywords
subject: human health
  topic: keywords
subject: occupational safety
  topic: keywords
subject: hazard factors
  topic: keywords
subject: workplace
  topic: keywords
subject: fatigue
  topic: keywords
subject: occupational risk assessment
  topic: keywords
subject: labour productivity
  topic: keywords
subject: prevention of occupational diseases
  topic: keywords
creator: Azizbek Abdulazizovich Bakhodirov
creator: Khabib Kholikovich Razzokov
rights: Copyright (c) 2026 Azizbek Abdulazizovich Bakhodirov , Khabib Kholikovich Razzokov (Author)
date: 2026-05-11
publication date: 2026-05-11
starting page: 138
ending page: 147
doi: 10.51699/kw9bvz92