Electrical and Computer Engineering Commons^™

Data Driven And Machine Learning Based Modeling And Predictive Control Of Combustion At Reactivity Controlled Compression Ignition Engines, Behrouz Khoshbakht Irdmousa

Dissertations, Master's Theses and Master's Reports

Reactivity Controlled Compression Ignition (RCCI) engines operates has capacity to provide higher thermal efficiency, lower particular matter (PM), and lower oxides of nitrogen (NOx) emissions compared to conventional diesel combustion (CDC) operation. Achieving these benefits is difficult since real-time optimal control of RCCI engines is challenging during transient operation. To overcome these challenges, data-driven machine learning based control-oriented models are developed in this study. These models are developed based on Linear Parameter-Varying (LPV) modeling approach and input-output based Kernelized Canonical Correlation Analysis (KCCA) approach. The developed dynamic models are used to predict combustion timing (CA50), indicated mean effective pressure (IMEP), …

Investigation Of Software Defined Radio And Deep Learning For Ground Penetrating Radar, Yan Zhang

Graduate College Dissertations and Theses

Ground Penetrating Radar (GPR) is a non-invasive geophysical method that uses radar pulses to image the subsurface. This technology is widely used to detect and map subsurface structures, utilities, and features without the need for physical excavation. Traditional GPR systems, which rely on fixed radio frequency electronics like Application-Specific Integrated Circuits (ASICs), have significant limitations in their flexibility and adaptability. Adjusting operational parameters such as waveform, frequency, and modulation schemes is challenging, which is crucial for tailoring performance to specific tasks or conditions. The considerable size and weight of these systems restrict their applicability in harsh or confined spaces where …

Enhancing Water Safety: Exploring Recent Technological Approaches For Drowning Detection, Salman Jalalifar, Andrew Belford, Eila Erfani, Amir Razmjou, Rouzbeh Abbassi, Masoud Mohseni-Dargah, Mohsen Asadnia

Research outputs 2022 to 2026

Drowning poses a significant threat, resulting in unexpected injuries and fatalities. To promote water sports activities, it is crucial to develop surveillance systems that enhance safety around pools and waterways. This paper presents an overview of recent advancements in drowning detection, with a specific focus on image processing and sensor-based methods. Furthermore, the potential of artificial intelligence (AI), machine learning algorithms (MLAs), and robotics technology in this field is explored. The review examines the technological challenges, benefits, and drawbacks associated with these approaches. The findings reveal that image processing and sensor-based technologies are the most effective approaches for drowning detection …

Complete Solution Of The Lady In The Lake Scenario, Alexander Von Moll, Meir Pachter

Faculty Publications

In the Lady in the Lake scenario, a mobile agent, L, is pitted against an agent, M, who is constrained to move along the perimeter of a circle. L is assumed to begin inside the circle and wishes to escape to the perimeter with some finite angular separation from M at the perimeter. This scenario has, in the past, been formulated as a zero-sum differential game wherein L seeks to maximize terminal separation and M seeks to minimize it. Its solution is well-known. However, there is a large portion of the state space for which the canonical solution does not …

Investigation Of Intermodal Four-Wave Mixing For Continuous-Wave Photon-Pair Generation, Seyedehnajmeh Montazeri, Md Abu Zobair, Mina Esmaeelpour

Electrical and Computer Engineering Faculty Research & Creative Works

We Experimentally Demonstrate the Various Intermodal and Intramodal Four-Wave Mixing Processes in a Few-Mode Fiber with Three Modes using Non-Degenerate Pumps. We Distinguish the Processes by Calculating their Phase Mismatch and Identify the Intermodal Spontaneous Four-Wave Mixing Process that Generates Entangled Photon Pairs in Various Modes. We Achieve This using Continuous-Wave Beams and the Seeding Technique Due to the Low Efficiency of the Spontaneous Four-Wave Mixing Effect in the Fiber. We Seeded the Stokes and Anti-Stokes Waves and Measured the Spectral Content of Each Mode While Moving the Seed Away from the Perfect Phase-Matched Condition in the Fiber under Test. …

Optical Fiber Sensors Based On Advanced Vernier Effect - A Review, Wassana Naku, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

The Optical Vernier Effect Has Emerged as a Powerful Tool for Enhancing the Sensitivity of Optical Fiber Interferometer-Based Sensors, Ushering in a New Era of Highly Sensitive Fiber Sensing Systems. While Previous Research Has Primarily Focused on the Physical Implementation of Vernier Effect-Based Sensors using Different Combinations of Interferometers, Conventional Vernier Sensors Face Several Challenges. These Include the Stringent Requirements on the Sensor Fabrication Accuracy to Achieve a Large Amplification Factor, the Necessity of using a Source with a Very Large Bandwidth and a Bulky Optical Spectrum Analyzer, and the Associated Complex Signal Demodulation Processes. This Article Delves into Recent …

Modified Thermographic Signal-To-Noise Ratio For Active Microwave Thermography, Logan M. Wilcox, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is an active thermographic nondestructive testing and evaluation (NDT&E) technique that utilizes an active electromagnetic-based excitation. This excitation is achieved through a radiating antenna and is spatially nonuniform in nature. As such, the electromagnetically-induced heat is also spatially nonuniform, as it is directly related to the radiated power density incident on the specimen under test (SUT). After excitation, infrared measurements on the surface of the SUT are completed using an infrared camera. Common post processing techniques including thermal contrast (TC) and signal-to-noise ratio (SNR) are often applied to these measured results. As these post processing techniques …

Tutorial: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

5g New Radio Access And Core Network Slicing For Next-Generation Network Services And Management, Abdullah Ridwan Hossain

Dissertations

In recent years, fifth-generation New Radio (5G NR) has attracted much attention owing to its potential in enhancing mobile access networks and enabling better support for heterogeneous services and applications. Network slicing has garnered substantial focus as it promises to offer a higher degree of isolation between subscribers with diverse quality-of-service requirements. Integrating 5G NR technologies, specifically the mmWave waveform and numerology schemes, with network slicing can unlock unparalleled performance so crucial to meeting the demands of high throughput and sub-millisecond latency constraints.

While conceding that optimizing next-generation access network performance is extremely important, it needs to be acknowledged that …

Gen-Acceleration: Pioneering Work For Hardware Accelerator Generation Using Large Language Models, Durga Lakshmi Venkata Deepak Vungarala

Theses

Optimizing computational power is critical in the age of data-intensive applications and Artificial Intelligence (AI)/Machine Learning (ML). While facing challenging bottlenecks, conventional Von-Neumann architecture with implementing such huge tasks looks seemingly impossible. Hardware Accelerators are critical in efficiently deploying these technologies and have been vastly explored in edge devices. This study explores a state-of-the-art hardware accelerator; Gemmini is studied; we leveraged the open-sourced tool. Furthermore, we developed a Hardware Accelerator in the study we compared with the Non-Von-Neumann architecture. Gemmini is renowned for efficient matrix multiplication, but configuring it for specific tasks requires manual effort and expertise. We propose implementing …

Comparison Of Dc Motor Speed Calculation Efficiency Between Inductive Proximity Sensor And Rotary Encoder, Dino Dwi Aryanto, S. Sukir

Elinvo (Electronics, Informatics, and Vocational Education)

This study examines the level of effectiveness and efficiency of a sensor on the calculation of the rotational speed (RPM) of a DC motor, considering that the calculation of the rotational speed of an electric motor, both AC motors and DC motors, greatly influences the output of the system. the speed of motor rotation is very influential in several fields, such as power generation, which will affect the output voltage that will be generated. There are many methods for measuring the rotational speed of a motor, including using an inductive proximity sensor and a rotary encoder combined with a PLC …

Towards Digital Twins For Optimizing Metrics In Distributed Storage Systems - A Review, May Itani, Layal Abu Daher, Ahmad Hammoud

BAU Journal - Science and Technology

With the exponential data growth, there is a crucial need for highly available, scalable, reliable, and cost-effective Distributed Storage Systems (DSSs). To ensure such efficient and fault tolerant systems, replication and erasure coding techniques are typically used in traditional DSSs. However, these systems are prone to failure and require different failure prevention and recovery algorithms. Failure recovery of DSS and data reconstruction techniques take into consideration different performance metrics optimization in the recovery process. In this paper, DSS performance metrics are introduced. Several recent papers related to adopting erasure coding in DSSs are surveyed together with highlighting related performance metrics …

The Use Of Ultraviolet Radiation As A Means Of Destroying Microorganisms In Cherries, Jasur Safarov, Shaxnoza Sultanova, Pulatov M. Murodjon

Chemical Technology, Control and Management

The article discusses methods for extending the shelf life of cherries, having previously treated it with an ultraviolet ray. The article also presents the results obtained, which prove that the shelf life of cherries exposed to ultraviolet increases. At the same time, the article describes in detail the processing technique and presents the results of research.

Study Of Dynamic Characteristics Of The Mechanical Circuit Of The Developed Induction Inertial Vibration Transducer, Sulton Fayzullayevich Amirov, Asror Abdunabiyevich Shoimkulov

Chemical Technology, Control and Management

The article examines the dynamic characteristics of the mechanical circuit of the developed induction vibration transducer. It is found that in the investigated transducers forced oscillations occur with the frequency of the input disturbing force, the amplitude of forced oscillations does not depend on the initial conditions and time, and in forced oscillations with damping there is always a shift of the oscillation phase compared to the phase of the input disturbing force. It is shown that the induction vibration transducer reproduces the measured vibrations with small distortions only in a relatively narrow frequency region at frequencies of the input …

Mathematical Models And Calculation Of Parameters Of Optoelectronic Angular Displacement Converters, Yuriy Gennadyevich Shipulin, Azimjon Khusanov

Chemical Technology, Control and Management

The article discusses promising optoelectronic converters (OP) for wide application of angular movements. A methodology and diagram for calculating OP with the transverse movement of a moving element is presented; in order to simplify the calculation, the weight range of angular movements is conventionally divided into three sub ranges. A graph is given of the dependence of the area of the photosensitive surface of a photo resistor made from a single crystal of high-resistivity p-type silicon.

Smart System For Wheat Diseases Early Detection, Rustam Baratov, Himola Sunnatillayeva, Almardon Mamatovich Mustafoqulov

Chemical Technology, Control and Management

This paper presents a smart system for early detection of wheat plant diseases in the vegetation period. The proposed smart system allows detecting three types of wheat diseases, particularly yellow rust, powdery mildew and septoria at early stage and significantly improves the soil and ecology by locally spraying harmful chemicals just to sickness plants. The proposed diagnostic program is created in the C++ programming language. The basic structure of the smart system consists of Raspberry PI 4 MODULE, Logitech HD Pro Webcam C920, buzzer, HC-SR04 distance sensor, DC motor driver, AC motor, power supply, relay and some digital devices.

Improvement Of Calorimetric Quality Analyzers For Substances, Makhfuza Azimovna Radjabova

Chemical Technology, Control and Management

It is noted that the development of intelligent means of measuring qualitative indices is of topical importance. Since the quality of many substances is determined by optical methods, an algorithm for spectrophotometric data processing has been developed, which consists of primary data processing (stage I) and determination of qualitative indices of liquid products (stage II). Since the task of numerical determination of colour characteristics of transmittance coefficients of liquid samples is incorrectly set, it is recommended to use regularization methods of A.N.Tikhonov to improve metrological characteristics of the device. On the basis of regularization methods for solving incorrect problems, algorithms …

Algorithms For Synthesis Of Adaptive Control Systems With A Customized Model Using The Speed Gradient Method, Jasur Sevinov, Oxunjon Boborayimov

Chemical Technology, Control and Management

Algorithms are considered for the synthesis of adaptive control systems with a customized model based on the speed gradient method. For the synthesis of adaptive control systems, the identification approach is based on obtaining estimates of the unknown parameters in the object. By calculating the speed gradient, identification algorithms with an explicit and implicit customized model were obtained as well as that in sliding modes. A joint solution is given to the interrelated problems of identifying parameters with insufficient current information. The position of an object is about assessing the state with insufficient a priori information about its parameters. This …

Improvements Of The Control System For The Technological Process Of Drying Bulk Materials, Azizbek Nodirbekovich, Dilmurod Ikromovich

Chemical Technology, Control and Management

The issues of convective drying of bulk materials as objects of monitoring, control and advanced management are presented based on the results of simulation modeling of a complex heat and mass transfer process, taking into account the drying kinetics. As a result of the work of a number of them, in the last few decades neat hypotheses were formed about moisture migration in and around dried materials, which led to the creation of accurate mathematical models of drying behavior, with successfully applied in a wide range of fields. The reasons for this are the dynamics of processes in the drying …

Application Of Quantum Algorithms In The Synthesis Of Dynamic Objects, Noilakhon Yakubova

Chemical Technology, Control and Management

Around the world, the food industry is focusing on achieving energy and resource efficiency. One of the main challenges in the field of process automation is the creation of effective control systems using intelligent technologies to improve the quality of processes and achieve the production of high-quality products with less energy and resources. Therefore, it is necessary to work with a large amount of data. Particular attention is paid to the development of computational algorithms for automated high-speed computational analysis systems for processing this data at high speed. Therefore, the article discusses the use of quantum computing methods in controlling …