Engineering Commons^™

Enhancing Smart Grid Security And Reliability Through Graph Signal Processing And Energy Data Analytics, Md Abul Hasnat

USF Tampa Graduate Theses and Dissertations

Situational awareness in a large, dynamic, and complex cyber-physical critical infrastructure, such as a smart grid, is vital for ensuring its smooth and uninterrupted operation. With the evolving realities of the modern-day smart grids, new challenges associated with the situational awareness of these systems are emerging that demand intelligent and efficient solutions. This dissertation intends to address several problems for enhancing situational awareness by studying the dynamic interaction among the components of the smart grids through energy data analytics using various data-driven, machine learning, and graph signal processing (GSP) techniques. The presented work provides valuable insight into the data-driven analysis …

Performance Evaluation Of Full Array, Sub-Array And Overlapped Sub-Array Hybrid Beamforming Architectures For Massive Mimo Systems, Godwin Mruma Gadiel

Tanzania Journal of Engineering and Technology (TJET)

The technological advancement in wireless communication, promises high data rate for end users. This has led to the possibility of smart cities, inter connected vehicles, and virtual reality applications. One of the recent technologies in wireless communication is massive MIMO where large number of antennas are deployed at the transmitter or receiver. This is possible due to the use of mmWave in wireless communication. With massive MIMO, beamforming technique can be employed in the communication system. Beamforming is the ability of communication system to direct power to the intended users and to cancel power at non-intended users and thus significantly …

Experimental Investigation On Recovery Of Micro Hydropower Dump Load Through Oil Heating System, Joseph H. Kihedu Dr.

Tanzania Journal of Engineering and Technology (TJET)

Micro hydropower power generates electrical energy to meet connected electrical demand, that normally fluctuates causing imbalances. Electronic load controller is then used to balance power system by diverting surplus generated power to the dump load commonly resistive load such as bulk water heater. This study investigated use of oil heating system as a replacement for conventional resistive dump load. In comparison to water, oil has high thermal retention therefore can serve as good thermal media. Dump load range ranged between 17 kW to 78 kW. A 6-kW electrical heater was used for laboratory oil heating system from which heated oil …

On The Use Of Wireless Technologies For Wildlife Monitoring: Wireless Sensor Network Routing Protocols, Lilian Mutalemwa

Tanzania Journal of Engineering and Technology (TJET)

Traditional methods for wildlife monitoring are labor-intensive and time-consuming. Therefore, advanced technologies and remote monitoring methods are becoming increasingly popular. This paper presents a study on wireless technologies for wildlife monitoring. In the study, a review of the literature was done to identify the most commonly used wireless technologies. Various technologies were explored including unmanned aerial vehicles (UAVs), Internet of Things (IoT), wireless sensor networks (WSNs), artificial intelligence (AI), global positioning system (GPS), and very high frequency (VHF) radio. Then, a more detailed study was done on WSN technology. Investigations were done to observe the performance of routing protocols in …

Smart Grid In Tanzania: Research Opportunities, Aviti Thadei Mushi

Tanzania Journal of Engineering and Technology (TJET)

reinvigorated its power generation capacity significantly to ensure smooth execution of its industrialization agenda and cope with the fourth industrial revolution. To ensure reliable availability of power to sustain its growing economy, Tanzania embarked on a deliberated measure to forge an energy mix. This deliberate measure encompasses the use of renewable energy technologies such as wind, solar, biomass, wastes, and micro hydro; natural gas; and other energy sources which are locally available including coal and geothermal. To effectively and efficiently manage such a growing power system and make electricity accessible to all for higher levels of industrial investment and services, …

Isolation And Performance Test Of Green Low Dosage Hydrate Inhibitors From Local Materials For Improving Flow Assurance In Oil And Gas Industry, Makungu Madirisha

Tanzania Journal of Engineering and Technology (TJET)

The formation of gas hydrates in oil and gas industry can be minimized or prevented by the use of inhibitors. This paper reports on hemicellulose and modified lignin as low dosage gas hydrate inhibitors (LDGHIs). LDGHIs were isolated from sugarcane bagasse (SCB), plant gum exudates (PGE) of Acacia trees, and coconut coir, and further characterized by Attenuated Total Reflectance - Fourier Transform Infrared (ATR-FTIR) spectrometer, porosimeter and thermogravimetric analyzer (TGA). The PGE and SCB yielded 77.75% and 12.38% of hemicellulose, respectively, while coconut coir yielded 35.59% of lignin which was modified to sodium lignosulfonate (SLS) to improve its solubility in …

Topological Interpolation Method For Modeling Dynamic Systems, Isamiddin Xakimovich Siddikov, Dilnoza Maxamadjanovna Umurzakova

Chemical Technology, Control and Management

The method of simulation structural-complex continuous-discrete control systems is discussed. For simulation and calculation of dynamic processes in continuous-discrete systems topological interpolation method is proposed, based on application of hybrid methods of space of state variables and interpolation of signals. The essence of the method is that the dynamics of the investigated system, considered at the final interval, is broken down into subintervals, on each of which the processes are described by linear ordinary system differential equations. The computational efficiency of the proposed method was evaluated by comparison with standard methods such as the Runge-Kutta-Merson method. The use of this …

Synthesis Of Control Systems With Multilayer Neural Networks Based On Velocity Gradient Methods, Oxunjon Boborayimov, Okyay Kaynak

Chemical Technology, Control and Management

In this manuscripts, the synthesis of control systems with multilayer neural networks based on the speed gradient methods is given. For adjusting the weight coefficients of the base processor element, the gradient method of minimizing the learning criterion is used. A procedure for the synthesis of neural network control systems based on the velocity gradient methods has been developed. This guarantees the stabilization of the system under external limited disturbances that are inaccessible to direct measurement. Taking into account the state vector of the control object in the network learning function ensures the consistency of the processes of setting the …

Intellectualization Of The Process Of Monitoring Of Complex Technological Productions, Dmitry Semenovich Karpovich, Umidjon Abdimajitovich Ruziev

Chemical Technology, Control and Management

The article deals with the creation of intelligent monitoring systems for complex technological processes. The methods and models of the intellectualization of information processing systems are analyzed. The advantages of using intelligent measuring instruments in monitoring systems are given, which allow obtaining reliable information necessary for the effective control of complex technological processes. The issues of using intelligent measuring instruments in monitoring systems are considered. A block diagram of intelligent monitoring of signal processing of complex production processes has been proposed. An algorithm for parametric correction of intelligent measuring instruments in monitoring systems has been developed. A model of a …

Research And Development Of Intelligent Greenhouse Monitoring And Control System：A Review, Jiang Ru, Zhang Dong

Chemical Technology, Control and Management

Today, smart technologies are rapidly entering various areas of our lives. The role of intelligent technologies in the effective organization of control and management processes in the field of agriculture is incomparable. At the same time, intelligently controlled greenhouses are one of the main elements of agriculture. The article analyzes the importance of smart farming technologies associated with intelligent observing and control systems for greenhouses. These technologies include aspects such as the Internet of Things, artificial intelligence, and intelligent control. Based on the results of the analysis, prospects for the development of a monitoring and control system for a smart …

Modeling And Dynamic Correction Of The Thermal Radiation Fluxes Measuring System, Olexander Alekseevich Sytnik, Fatima Mirazizovna Sagatova

Chemical Technology, Control and Management

Temperature measurements are currently an integral part of modern production, in particular, energy, aviation, instrumentation, etc. Therefore, the need to improve the accuracy of measurement, control and regulation of temperature largely determines the technical and economic efficiency of production. The development of reliable methods for temperature control under various conditions and the creation of specific devices is one of the most important tasks of modern instrumentation. The article deals with the issues of solving the problems of modeling and correcting the dynamic characteristics of a system for measuring thermal radiation fluxes using the integral method of signal recovery. For computer …

Investigation Of Magnetic Circuits Of Differential Transformer Displacement Sensors, Sulton Fayzullaevich Amirov, Absaid Khurramovich Sulliev, Shukhrat Azamatovich Sharapov

Chemical Technology, Control and Management

The article examines the magnetic circuits of both existing and developed differential transformer displacement sensors for large linear displacements. These circuits are characterized by a specific distribution structure of magnetic resistance parameters in long ferromagnetic cores and the magnetic capacitance between them. It is shown that in the existing sensor, the distribution of working magnetic flux along the length of the ferromagnetic cores has a nonlinear nature, resulting in a nonlinear relationship between the output signal in the form of electromotive force and the input linear displacement of the sensor. It has been established that by selecting the law of …

Current Issues Of The Use Of Artificial Intelligence In The Activities Of Customs Authorities, Jasur Usmonovich Sevinov, Gayrat Rustamovich Khamroev

Chemical Technology, Control and Management

Presents effective methods and solutions to eliminate errors caused by the “human factor” (fatigue, neglect, etc.) as a result of the creation and improvement of automated systems based on artificial intelligence, distinguishing features such as commodity group, weight, dimensions, etc. in relation to goods under customs control. The use of artificial intelligence in customs activities allows: to increase the speed of performing tasks set before customs authorities by increasing productivity, without attracting additional personnel; to eliminate errors caused by the “human factor” (fatigue, neglect, etc.); to free employees from everyday activities and transfer it to solving mainly analytical tasks; to …

Prediction Using Fire Data Based On Machine Learning Algorithms, Oybek Zokirovich Koraboshev

Chemical Technology, Control and Management

In this article, the process of real-time prediction of the dynamics of fire development in non-stationary and gas-fired areas is carried out by developing a real-time prediction method based on artificial intelligence and deep machine learning (Deep Machine Learning) algorithms. The most commonly used KNN algorithm, CVM algorithm, Random Forest algorithm and Naive Bayes algorithm were used for prediction fire situations.

Board 87: Work In Progress Wip Comparing The Most Demanded Skills For Electrical And Computer Engineers (Ece) Graduates In The United States From The Perspective Of Ece Academic Department Heads And Ece Professional Engineers, Mohammad Al Mestiraihi, Kurt Henry Becker

Electrical and Computer Engineering Faculty Publications

When students graduate from an Electrical and Computer Engineering (ECE) program, there is a discrepancy or imbalance between the job-related competencies that firms require and what academic institutions deliver. As a result, there are more graduates who lack the skills that the market dictates. Due to the skills gap, recently recruited engineers may still need more training to gain necessary competencies, costing companies both time and money. The primary purpose of this study is to compare the skills ECE graduates should have upon graduation from ECE industry perspective and ECE academic department heads’ perspectives. In this context, this paper presents …

Scanning Photoelectrochemical Microscopic Study In Photoinduced Electron Transfer Of Supramolecular Sensitizers-Tio2 Thin Films Systems, Sheng-Ya Zhang, Min Yao, Ze Wang, Tian-Jiao Liu, Rong-Fang Zhan, Hui-Qin Ye, Yan-Jun Feng, Xiao-Quan Lu

Journal of Electrochemistry

Crafting charge transfer channels at titanium dioxide (TiO₂) based photoanodes remain a pressing bottleneck in solar-to-chemical conversion technology. Despite the tremendous attempts, TiO₂ as the promising photoanode material still suffers from sluggish charge transport kinetics. Herein, we propose an assembly strategy that involves the axial coordination grafting metalloporphyrin-based photosensitizer molecules (MP) onto the surface-modified TiO₂ nanorods (NRs) photoanode, forming the composite MP/TiO₂ NRs photoelectrode. As expected, the resulted unique MP_B/TiO₂ NRs photoelectrode displays significantly improved photocurrent density as compared to TiO₂ NRs alone and MP_A/TiO₂ NRs photoelectrode. Scanning …

Development Of Attack Resistant Cybersecurity Framework For Digital Health Systems, Sridevi A

Theses and Dissertations

The emerging cyber landscape demands the data to be protected by CIA triad which comprises Confidentiality, Integrity and Availability(CIA). For the swift diagnosis process, a standard patient data representation in the form of EHR (Electronic Health Record) plays a significant role. There exists a necessity to protect this EHR through the information security mechanisms namely encryption, watermarking and intrusion detection system for ensuring application and network layer security. Implementation of medical data protection solution on a reconfigurable hardware platform can further strengthen EHR security. This research work effectively achieves the CIA triad for healthcare cybersecurity at data, application and network …

Work In Progress: Assessing Engineering Students' Behavioral Engagement And Learning; Survey Development And Validation, Ibukun Samuel Osunbunmi, Kurt Henry Becker, Young Min Kim, Mohammad Al Mestiraihi

Electrical and Computer Engineering Faculty Publications

Studies have shown that the more involved students are with their learning, the better their achieved desired educational outcome. However, little is known about the extent to which the existing engineering curriculum and pedagogical strategy implemented elicit engineering students’ engagement in the Middle East and North Africa region (MENA) of the world. The goal of this study is to examine to what extent the existing engineering curriculum elicits student engagement in self-learning and collaborative learning. This effort is part of the ongoing re-evaluation and redesign of the water engineering curriculum of one of the countries in the MENA region by …

Deep Learning Enhancement And Privacy-Preserving Deep Learning: A Data-Centric Approach, Hung S. Nguyen

USF Tampa Graduate Theses and Dissertations

Deep Learning and its applications have become attractive to a lot of research recentlybecause of its capability to capture important information from large amounts of data. While most of the work focuses on finding the best model parameters, improving machine learning performance from data perspective still needs more attention. In this work, we propose techniques to enhance the robustness of deep learning classification by tackling data issue. Specifically, our data processing proposals aim to alleviate the impacts of class-imbalanced data and non- IID data in deep learning classification and federated learning scenarios. In addition, data pre-processing strategies such that dimensionality …

A Comprehensive Review Of Dc-Dc Converters For Ev Applications, Shayan Hosseinzad, Amin Mirzaei

Emirates Journal for Engineering Research

DC-DC converters in Electric vehicles (EVs) have the role of interfacing power sources to the DC-link and the DC-link to the required voltage levels for usage of different systems in EVs like DC drive, electric traction, entertainment, safety and etc. Improvement of gain and performance in these converters has a huge impact on the overall performance and future of EVs. So, different configurations have been suggested by many researches. In this paper, bidirectional DC-DC converters (BDCs) are divided into four categories as isolated-soft, isolated-hard, non-isolated-soft and non-isolated-hard depending on the isolation and type of switching. Moreover, the control strategies, comparative …

Fabric-Based Organic Electrochemical Transistor Towards Wearable Ph Sensing Electronics, Nestor Osvaldo Marquez Rios

USF Tampa Graduate Theses and Dissertations

Wearable electronics interest has attracted the attention of a few sectors because of their applicability in different areas like healthcare, military, and our daily basis. Still building circuits on fabrics to make these wearable electronics is challenging. As transistors are the building blocks of electronic circuits and most of the biosensors, recently, fiber-shaped electrochemical transistors have been studied extensively for a lot of applications including bioelectronics. Fiber-based devices are getting popular in different applications due to their low fabrication cost, lightweight, and flexibility without losing their properties. Additionally, they are potentially suitable for making sensors on garments.

In this work, …

Optimal Estimation Inversion Of Ionospheric Electron Density From Gnss-Pod Limb Measurements: Part I-Algorithm And Morphology, Dong L. Wu, Nimalan Swarnalingam, Cornelius C. J. H. Salinas, Daniel J. Emmons, Tyler C. Summers, Robert Gardiner-Garden

Faculty Publications

GNSS-LEO radio links from Precise Orbital Determination (POD) and Radio Occultation (RO) antennas have been used increasingly in characterizing the global 3D distribution and variability of ionospheric electron density (Ne). In this study, we developed an optimal estimation (OE) method to retrieve Ne profiles from the slant total electron content (hTEC) measurements acquired by the GNSS-POD links at negative elevation angles (ε < 0°). Although both OE and onion-peeling (OP) methods use the Abel weighting function in the Ne inversion, they are significantly different in terms of performance in the lower ionosphere. The new OE results can overcome the large Ne oscillations, sometimes negative values, seen in the OP retrievals in the E-region ionosphere. In the companion paper in this Special Issue, the HmF2 and NmF2 from the OE retrieval are validated against ground-based ionosondes and radar observations, showing generally good agreements in NmF2 from all sites. Nighttime hmF2 measurements tend to agree better than the daytime when the ionosonde heights tend to be slightly lower. The OE algorithm has been applied to all GNSS-POD data acquired from the COSMIC-1 (2006–2019), COSMIC-2 (2019–present), and Spire (2019–present) constellations, showing a consistent ionospheric Ne morphology. The unprecedented spatiotemporal sampling of the ionosphere from these constellations now allows a detailed analysis of the frequency–wavenumber spectra for the Ne variability at different heights. In the lower ionosphere (~150 km), we found significant spectral power in DE1, DW6, DW4, SW5, and SE4 wave components, in addition to well-known DW1, SW2, and DE3 waves. In the upper ionosphere (~450 km), additional wave components are still present, including DE4, DW4, DW6, SE4, and SW4. The co-existence of eastward- and westward-propagating wave4 components implies the presence of a stationary wave4 (SPW4), as suggested by other earlier studies. Further improvements to the OE method are proposed, including a tomographic inversion technique that leverages the asymmetric sampling about the tangent point associated with GNSS-LEO links.

Stochastic Worst-Case Test Vectors For Asic Devices In Single Event Environment, Mostafa Hemeda

Theses and Dissertations

Charged particles and energetic particles can impact the integrated circuit, referred to as single event effects (SEE). Nuclear reactors and space radiation can produce these particles. These effects can negatively affect the reliability and performance of electronics. When SEE occurs, a transient current is created, which can cause electronic devices to have incorrect outputs and ultimately fail. As a result, ensuring the reliability of ASIC circuits is a significant concern.

This thesis discusses the different fault types, then discuss the soft error and, in particular, the Single Event Transient (SET) and its causes and models. Then, this thesis proposes a …

A Flexible Ot Testbed For Evaluating On-Device Implementations Of Iec-61850 Goose, Matthew Boeding, Michael Hempel, Hamid Sharif, Juan Lopez Jr., Kalyan Perumalla

Department of Electrical and Computer Engineering: Faculty Publications

The growing convergence of Information Technology and Operational Technology has enhanced communication and visibility across power grids. This, coupled with the growing use of Distributed Energy Resources in power grids, has enhanced the grid capabilities while also creating a larger attack surface for malicious actors. A common protocol vulnerable to these attacks is the IEC-61850 GOOSE protocol due to its low-latency requirements, multicast packet delivery method, and lack of encryption. In this paper, we evaluate the security implications of different hardware implementations of this protocol by contrasting device response and recovery of two commercial off-the-shelf Intelligent Electronic Devices from separate …

How Did The Landscape Of Student Belonging Shift During Covid-19?, Shruti Misra, Neha Kardam, Jennifer Vanantwerp, Denise Wilson

University Faculty Publications and Creative Works

The goal of this study is to understand if and how emergency remote teaching (ERT) used during the COVID-19 pandemic changed the ways in which instructional support and interactions were linked to belonging among engineering students. Belonging is a fundamental human motivation associated with a wide range of positive psychological, educational, social, and job outcomes. Frequent and predominantly conflict-free interactions within a stable, relational framework of caring are required to facilitate belonging. To better understand potential shifts in belonging that occurred from prepandemic to mid-pandemic, this study used survey data from a cross-sectional dataset at a single, large institution comprised …

Characterizing Controversiality Of Topics Utilizing Eccentricity Of Opinions, Sriniwas Pandey, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

Access to abundant biased information in echo chambers and social bubbles often intensifies opinions to the extremes. The extremization of opinions results in several topics becoming controversial. However, it is very difficult to measure the degree of controversiality of a topic objectively since the controversiality of any topic is subjective and perceived differently from different communities. The absence of an objective measure of controversiality has been a major hindrance in understanding the causes and effects of it. In this work we propose a method to quantify controversiality of a topic by utilizing eccentricity of opinions on that topic. The eccentricity …

Hydrogen Gas Sensor Based On Seven-Core Fiber Interference And Pt-Wo3 Film, You Wang, Farhan Mumtaz, Yutang Dai

Electrical and Computer Engineering Faculty Research & Creative Works

Tungsten oxide (WO₃) typically owns the characteristics of electrochemical, photo-chromic, and gas-chromic. The seven-core fiber (SCF) generates a strong interference signal that comprises super-modes. The thermo-optic and thermo-expansion characteristics of SCF were utilized with an aid of Pt-WO₃ film that makes the sensor highly sensitive to the H₂ gas environment. The sensor with spiral micro grooves by femtosecond-laser ablation considerably enhanced the H₂ sensitivity from 3.28 nm% to 4.0 nm%, and obtained a response and recovery time < 90 s.

Poster: Round Trip Time Measurement Over Microgrid Power Network, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

A focus of the Power Systems and Networking communities is the design and deployment of Microgrid (MG) integration systems that ensure that quality of service targets are met for load sharing systems at different endpoints. This paper presents an integrated Microgrid testbed that allows Microgrids endpoints to share their current, voltage and power values using a Network Published Shared Variable (NPSV) approach. We present Round Trip Time (RTT) measurements for time sensitive Microgrid control traffic in the presence of varying background traffic as an example quality of service measurement. Numerical results are presented using a range of different background traffic …

Round Trip Time Measurement Over Microgrid Power Network, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

A focus of the Power Systems and Networking communities is the design and deployment of Microgrid (MG) integration systems that ensure that quality of service targets are met for load sharing systems at different endpoints. This paper presents an integrated Microgrid testbed that allows Microgrids endpoints to share their current, voltage and power values using a Network Published Shared Variable (NPSV) approach. We present Round Trip Time (RTT) measurements for time sensitive Microgrid control traffic in the presence of varying background traffic as an example quality of service measurement. Numerical results are presented using a range of different background traffic …

Hybrid Photovoltaic + Battery Energy System Grid-Tied Converter Capstone Review Thesis, Archer Taylor

University Honors Theses

Hybrid power converters present an opportunity to more efficiently harness energy from renewable sources. This paper reviews an undergraduate senior capstone project with the goal of designing and verifying the benefits of a hybrid converter, combining a photovoltaic array, battery energy system and a DC-AC inverter. The author recounts their experience throughout the 6 month period, detailing the research and design process followed by the prototype testing. Additionally, they reflect on the struggles of the capstone team and how to apply the learnings in the future.