Operations Research, Systems Engineering and Industrial Engineering Commons^™

Intellectual Educational Technologies Of Coherent Maintenance Of Digital Transformations, Igor Ivanovich Gancherenok, Ulugbek Mannanov, A.G. Davydovsky, Yu.A. Chernyavsky

Chemical Technology, Control and Management

The problems of forming adequate educational technologies and supporting digital transformations for the formation and development of relevant professional competencies as innovative receptivity are interpreted. The fundamental principles of educational technologies that act as a catalyst for educational innovations in the context of digital transformation of economic and social processes are described. The main modern educational platforms of educational support of professional activity are analyzed. The author's interpretation of the synergetic effects in the education system, as well as loans as an educational cryptocurrency is suggested.

Study Of The Rheological Properties Of The Suspension Formed During The Production Of Caustic Soda By The Lime Method, Aktam Ulashovich Erkaev, Dildora Tursunova

Chemical Technology, Control and Management

The process of obtaining sodium hydroxide - caustic soda by conversion of soda ash with lime milk in the presence of natural mirabilite - has been investigated. The influence of temperature, Na₂CO₃: Na₂SO₄ ratio, concentration of lime milk and duration of the conversion process on this process was studied by identifying their optimal values. The study of the rheological properties of the reaction pulp showed that it is mobile and well filtered, which makes it possible to obtain rapidly settling large crystals of Na₂CO₃·2Na₂SO₄, Na …

Methodology For Determination And Assessment Of Uncertainty Sources Of Textile Materials Total Thermal Resistance, Abdurauf Abdurashidovich Abdukayumov, Ortagoli Sharipovich Hakimov

Chemical Technology, Control and Management

The problems of improving of methods for determination of the total thermal resistance of textile materials are considered. A comparative analysis of the applied methods based on stationary and non-stationary heat exchange is performed. A higher accuracy of non-stationary methods based on measuring the cooling time of a heat cell with subsequent determination of the cooling rate and the total thermal resistance of the material under study is noted. A method is proposed for estimating the variance of the main values required for calculating the total thermal resistance of materials. The results of the study of the relationship between sources …

Analysis Of Consistency Of Similarity Predicates To Measures Of Similarity And Advantages Of Their Application In Digital Systems For Solving Intellectual Problems, Makhmudjon Abdullaev, Nodira Batirdjanovna Alimova

Chemical Technology, Control and Management

The results of the analysis of the correspondence of similarity predicates to similarity measures used in various metric methods used for signal classification and the feasibility of using similarity predicates in the construction of digital systems for solving intellectual problems, for which the simplification of computational operations is of no small importance, are presented. Some general and distinctive features of the similarity predicate are considered in comparison with the euclidean metric in relation to one-dimensional and two-dimensional spaces, and generalized to the case of n-dimensional metric spaces. The expediency of using methods based on the calculation of similarity predicates, which …

Synthesis Of Control Systems For Multidimensional Dynamic Objects Under Parametric Uncertainty Based On The Invariance Theory, U.F Mamirov

Chemical Technology, Control and Management

The problems of synthesis of control systems for multidimensional dynamic objects in the conditions of parametric uncertainty which are based on invariance theory are considered. When constructing stable synthesis algorithms, a recurrent method for determining pseudo-solutions of linear algebraic systems of equations is used. Computational algorithms for the solution based on singular matrix expansions are given. These computational procedures allow us to regularize the problem of synthesis of the considered algorithms for the synthesis of control systems for multidimensional dynamic objects under conditions of parametric uncertainty and improve the quality indicators of control processes.

Development Of A New Technology For Obtaining The Substance Of The Drug Acetamizole, Sarvar Saidov, Asqar Abdurazakov, Rixsibay Karimov, Mavluda Baltabayeva

Chemical Technology, Control and Management

The main goal of this work is to obtain a preparation of acetamizole based on local raw materials by a more convenient method of acylation of 2-methoxycarbonylaminobenzimidazole with glacial acetic acid, this synthesis method is proposed for the first time. On the basis of the conducted experiments, favorable conditions for the reaction were found, the influence of the nature of the acid, the temperature, the duration of the reaction and other factors on the course of the reaction was studied, the technology was developed and implemented at the experimental production of "IHRV AN RUz". Based on experiments conducted by scientists …

Integrated Cyberattack Detection And Handling For Nonlinear Systems With Evolving Process Dynamics Under Lyapunov-Based Economic Model Predictive Control, Keshav Kasturi Rangan, Henrique Oyama, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Safety-critical processes are becoming increasingly automated and connected. While automation can increase effciency, it brings new challenges associated with guaranteeing safety in the presence of uncertainty especially in the presence of control system cyberattacks. One of the challenges for developing control strategies with guaranteed safety and cybersecurity properties under suffcient conditions is the development of appropriate detection strategies that work with control laws to prevent undetected attacks that have immediate closed-loop stability consequences. Achieving this, in the presence of uncertainty brought about by plant/model mismatch and process dynamics that can change with time, requires a fundamental understanding of the characteristics …

Risk Management Decision Making For Security And Trust In Hardware Supply Chains, Zachary A. Collier, Thomas L. Polmateer, James H. Lambert

CESUN Conference

Modern cyber-physical systems are enabled by electronic hardware and embedded systems. The security of these sub-components is a concern during the design and operational phases of cyber-physical system life cycles. Compromised electronics can result in mission-critical failures, unauthorized access, and other severe consequences. As systems become more complex and feature greater connectivity, system owners must make decisions regarding how to mitigate risks and ensure resilience and trust. This paper provides an overview of research efforts related to assessing and managing risks, resilience, and trust with an emphasis on electronic hardware and embedded systems. The research takes a decision-oriented perspective, drawing …

Asset Management Framework For The United States Army Corps Of Engineers Lock And Dam Electrical Equipment, Megan Elizabeth Bates

Theses, Dissertations and Capstones

The focus of this thesis is to design an efficient and effective preventative maintenance program for the electrical equipment that the United States Army Corps of Engineers (USACE) operates at the locks and dams. This thesis presents the concept of asset management and designs a framework to manage the electrical assets at USACE. The methodology was tested, and the results validated the framework proposed in this thesis. The framework was tested on two separate projects and the results were the same optimized strategies, which shows that the framework is robust and can be implemented into each project and can give …

Quality Assurance Of Lightweight Structures Via Phase-Based Motion Estimation, Ikenna E. Ifekaonwu

College of Graduate Studies: Theses & Dissertations

In recent years, lightweight structures have become mature and adopted in various applications. The importance of quality assurance cannot be overemphasized hence extensive research has been conducted to assess the quality of lightweight structures. This study investigates a novel process that exploits motion magnification to investigate the damage characteristics of lightweight mission-critical parts. The goal is to assure the structural integrity of 3D printed structures and composite structures by determining the inherent defects present in the part by exploiting their vibration characteristics. The minuscule vibration of the structure was recorded with the aid of a high-speed digital camera, and the …

Methods For Weighting Decisions To Assist Modelers And Decision Analysts: A Review Of Ratio Assignment And Approximate Techniques, Barry Ezell, Christopher J. Lynch, Patrick T. Hester

VMASC Publications

Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system. To this end, this article reviews and summarizes eight multi-criteria decision analysis (MCDA) techniques …

A Transdisciplinary Analysis Of Just Transition Pathways To 100% Renewable Electricity, Adewale Aremu Adesanya

Dissertations, Master's Theses and Master's Reports

The transition to using clean, affordable, and reliable electrical energy is critical for enhancing human opportunities and capabilities. In the United States, many states and localities are engaging in this transition despite the lack of ambitious federal policy support. This research builds on the theoretical framework of the multilevel perspective (MLP) of sociotechnical transitions as well as the concept of energy justice to investigate potential pathways to 100 percent renewable energy (RE) for electricity provision in the U.S. This research seeks to answer the question: what are the technical, policy, and perceptual pathways, barriers, and opportunities for just transition to …

In-Situ Process Monitoring For Metal Additive Manufacturing (Am) Through Acoustic Technique, Md Shahjahan Hossain

College of Graduate Studies: Theses & Dissertations

Additive Manufacturing (AM) is currently a widely used technology in different industries such as aerospace, medical, and consumer products. Previously it was mainly used for prototyping of the products, but now it is equally valuable for commercial product manufacturing. More profound understanding is still needed to track and identify defects during the AM process to ensure higher quality products with less material waste. Nondestructive testing becomes an essential form of testing for AM parts, where AE is one of the most used methods for in situ process monitoring. The Acoustic Emission (AE) approach has gained a reputation in nondestructive testing …

Continuity Of Chen-Fliess Series For Applications In System Identification And Machine Learning, Rafael Dahmen, W. Steven Gray, Alexander Schmeding

Electrical & Computer Engineering Faculty Publications

Model continuity plays an important role in applications like system identification, adaptive control, and machine learning. This paper provides sufficient conditions under which input-output systems represented by locally convergent Chen-Fliess series are jointly continuous with respect to their generating series and as operators mapping a ball in an Lp-space to a ball in an Lq-space, where p and q are conjugate exponents. The starting point is to introduce a class of topological vector spaces known as Silva spaces to frame the problem and then to employ the concept of a direct limit to describe convergence. The proof of the main …

Solar Photovoltaic Performance Monitoring: A Bibliometric Review, Research Gaps And Opportunities, Javed Sayyad, Paresh Nasikkar

Library Philosophy and Practice (e-journal)

Electrical power generation has been revolutionized by growing demand and use of Renewable Energy (RE) sources such as Solar Photovoltaic (SPV) as the main electricity source in modern times. The main objective of this bibliometric analysis is to understand the scope of the literature available for SPV performance characterization. This detailed reviewed was performed on the documents related to SPV research considering all the subject categories from Scopus and Web of Science (WoS) databases. The patterns for the particular set of keywords were broke down with the recuperated outcomes from Scopus database in the language, publication type, year of publication, …

Using Interacting Multiple Model Filters To Indicate Program Risk, Amy Sunshine Smith-Carroll

Engineering Management & Systems Engineering Theses & Dissertations

Technology development has increased exponentially. Program managers are pushed to accelerate development. There are many resources available to program managers that enable acceleration, such as: additional resources in the form of funding, people and technology. There are also negative impacts to acceleration, such as: inclusion, inexperience program managers, and communication. This research seeks to identify the limit to which a program or project can be accelerated before the program manager begins to accept an unacceptable amount of pre-determined risk.

This research will utilize estimation algorithms used by sensor systems to estimate the current and future state of objects in space. …

Fusion-Features And Visual-Dictionary Image Recognition Methods For Apple Classification In Smart Manufacturing, Ahsiah Ismail

Student Works (2020-2029)

Smart manufacturing enables an efficient manufacturing process to optimize production. The optimization is performed through data analytics that requires reliable and informative data as input. Therefore, in this research, two image recognition feature extraction methods namely Curvelet Wavelet-Gray Level Co-occurrence Matrix (CWGLCM) and Fuzzy-Spatial Pyramid Matching (F-SPM) are proposed to provide reliable inputs for vision-based apple classification in smart manufacturing. Feature extraction is one of the major steps that could influent the efficiency of the manufacturing process. The CW-GLCM method is a feature extraction of fusion-features with Decision Tree classifier, while the F-SPM method uses a visual-dictionary based method to …

Modified Fractional Order Sliding Mode Control For Speed Control Of Permanent Magnet Synchronous Motor, Fardila Mohd Zaihidee

Student Works (2020-2029)

In recent years, energy saving research activities have focused on electric motors and their systems since they are the main consumer of electricity in the industrial sector. Permanent magnet synchronous motor is known as a high-efficiency motor and slowly replacing induction motors in the industries. For speed control of PMSM, the sliding mode controller (SMC) has been widely used due to its robustness, high accuracy, and simplicity. The main disadvantage of the SMC method is the chattering phenomenon, which should be reduced or eliminated without compromising the controller’s robustness. Fractional order sliding mode speed control (FOSMC) of PMSM is proposed …

Cost Analysis Of Optimized Islanded Energy Systems In A Dispersed Air Base Conflict, Jay F. Pearson, Torrey J. Wagner, Justin D. Delorit

Faculty Publications

The United States Air Force has implemented a dispersed air base strategy to enhance mission effectiveness for near-peer conflicts. Asset dispersal places many smaller bases across a wide geographic area, which increases resupply requirements and logistical complexity. Hybrid energy systems reduce resupply requirements through sustainable, off-grid energy production. This paper presents a novel hybrid energy renewable delivery system (HERDS) model capable of (1) selecting the optimal hybrid energy system design that meets demand at the lowest net present cost and (2) optimizing the delivery of the selected system using existing Air Force cargo aircraft. The novelty of the model’s capabilities …

Conceptual Basis For Modeling Multi-Cordinate Mechatronic Robot Modules, Yusupbekov Azizbek Nodirbekovich, Nazarov Khayriddin Nuritdinovich, Matyokubov Nurbek Rustamovich, Temurbek Omonboyevich Rakhimov

Chemical Technology, Control and Management

The conceptual foundations of modeling multi-coordinate mechatronic modules of robots are considered. The use of a multi-coordinate mechatronic movement module in robots made it possible to obtain at the output of one module several linear and angular coordinates, which reduces the weight and dimensions of the robot and thereby improves its dynamic characteristics. The proposed original concept of the mathematical description of a multi-coordinate mechatronic module, which is focused on displaying their structural and operating features. A structural diagram of a developed industrial robot operating in a Cartesian coordinate system and built on the basis of a multi-coordinate mechatronic module …

Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov

Chemical Technology, Control and Management

The questions of formation and construction of algorithms for identification of elements of the transition matrix of controlled objects in conditions of parametric uncertainty are considered. To identify elements of the transition matrix, we suggest using a custom model based on the type of Kalman filtration equations. Algorithms for stable calculation of a pseudo-inverse matrix using matrix decomposition are analyzed. Regular algorithms for solving argumentative problems of minimization of the identification quality criterion are given. These algorithms allow us to regularize the problem of adaptive identification of the transition matrix of an object based on regular methods for minimizing functionals …

Detection Method For “Denial Of Service” Attacks On Web Applications, Azizbek Ravshonbek Ugli Ibrohimov

Chemical Technology, Control and Management

A method for detecting denial-of-service attacks on web applications based on the use of a multi-layer perceptron is considered. The main issues related to the use of the neural network are described: the process of collecting and preparing statistical data, the features of forming indicators that characterize the state of the web application, as well as the issues of training and evaluating the quality of the neural network.

Structural – Parametric Analysis And Synthesis Of Glass Furnace Condition Observer, Utkir Uktam O‘G‘Li Kholmanov

Chemical Technology, Control and Management

A modified Kalman filter of the glass cooking process is synthesized, taking into account perturbations in the form of a sequence of colored noises. The possibility of expanding this filter by noise filters to improve functioning in the presence of low-frequency disturbances is studied and a corresponding estimation scheme with additional noise filters is proposed. The results of the simulation allow us to assume that low-frequency disturbances in the glass furnace act at the input and affect the state of the control object.

Ecg Processing And Analysis Technique Based On Neural Network Learning Vector Quantization, Talat Madievich Magrupov, Sherzod Kalandarovich Nеmatov, Yokubjon Talatovich Talatov

Chemical Technology, Control and Management

The main parameters of the electrocardiogram (ECG) were processed on the basis of the neural network apparatus. A decision support algorithm for ECG analysis using a neural network for learning vector quantization is proposed. For the study was chosen such features as the duration of QRS complex, RR interval, amplitude of R-wave and the change in the slope of ST segment and heart rate, which are five inputs to the neural network learning vector quantization. Methods of pre-processing and analysis of extraction of ECG functions based on the ECG database of a medical institution in Matlab are presented. The generalized …

Optimal Ratio Of Primary And Secondary Clarifier Characteristics In Wastewater Treatment Plants, Makhsud Idrisovich Makhmudov, Zafarbek Esanovich Kuziev, Siroj Sobirovich Nurov, Sanjar Siroj Ugli Sidikov

Chemical Technology, Control and Management

The issues of optimization of aerobic biological wastewater treatment processes are considered. Optimal ratios of characteristics and sizes of primary and secondary sedimentation tanks, as well as their relationship with the concentration of activated sludge by volume, are revealed. Graphical representations of the dependence of the volumes of primary, secondary and total volumes of structures on the concentration of activated sludge in cleaning processes with low and high loads are obtained. Experimental studies have shown that the concentration of activated sludge in the aeration tank and the silt index directly affect the deposition characteristics of activated sludge, in particular the …

Static Characteristics Of Thermal Humidity Converters Of Liquid Materials In Continuous Flow, N.I. Avezova, P.R. Ismatullaev, Paraxat Matyakubova

Chemical Technology, Control and Management

Thermal systems with distributed heat sources based on a pipeline segment with radial holes are proposed for the development of designs of thermal humidity converters for liquid materials. Across the liquid flow there are tubular arguments with cylindrical heat-sensitive elements, on the surface of which the heating element winding was wound, which significantly increased their sensitivity, speed, reliability and allowed the use of standard semiconductor heat-sensitive elements.

A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters, Akmal Abdumalikov

Chemical Technology, Control and Management

The issues of continuity, accuracy, speed and reliability of signal conversion, which are the main problems of quality control and management of production processes, remain relevant. Research shows that in practice there are different signal variables, the study of which is highly formalized in a number of modeling tasks and basic classification studies, in particular transients in converters, its sources and elements requires a unified mathematical approach, that is, visual, highly formalized modeling and research based on it. The paper presents a graph model of multifunctional signal converters that provide microprocessor and electronic devices with signals in the form of …

A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova

Chemical Technology, Control and Management

Statistical data on information security that concerns Big Data and is the most important for enterprises are provided. Based on this data, we studied problems such as the lack of big data practices and protection, the lack of techniques for protecting big data, the lack of standards for protecting big data, the lack of regulation of big data and ecosystems, security problems in Big Data, and proposed several proposals to improve the security of systems that use this technology.

Capacity Transformer Of Coaxial And Cylindrical Form Of Humidity Meter, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Shohrux Nurali O'G'Li Narzullaev

Chemical Technology, Control and Management

The question of development and calculation of construction of a coaxial and cylindrical form of the capacity transformer of a humidity meter is considered. As basic data, the sizes and the materials ditches allowing to measure the humidity of different volumes of bulks from 5 to 50 gr are selected. As materials of a ditch, plastic are selected, and as tanks, the magnetizing materials are selected. It is briefly cited the advantages and disadvantages of ways to measure humidity and the basic dielectric characteristics of capacitive converters. The electrical replacement scheme of the proposed capacitive converter was provided and the …

Reliable Risk Assessment Method For Effective Organization Of Information Security At Enterprise, Fayzullajon Bakhtiyorovich Botirov

Chemical Technology, Control and Management

The problems of the new industry 4.0 automation paradigm are considered and the latest technologies in the field of information and communication technologies that stimulate it are analyzed, including cyber-physical systems, cloud computing, the Internet of things and big data. Some methods of multidimensional, multi-faceted industrial representation and analysis of big data are proposed. The basics of big data processing using granular computing methods have been developed. Marked the emergence of the problem of creation of special cognitive tool for constructing artificial agents, understanding integrated intelligence enterprises. In the process of information protection at the enterprise, it is proposed to …