Engineering Commons^™

Verifying Models Of The Underwater Soundscape From Wind And Ships With Benchmark Scenariosa), S Bruce Martin, Martin Siderius, Michael A. Ainslie, Michele B. Halvorsen, Leila Hatch, Mark K. Prior, Daniel Brooker, James Caplinger, Christine Erbe, John Gebbie, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

Models of the underwater acoustic soundscape are important for evaluating the effects of human generated sounds on marine life. The performance of models can be validated against measurements or verified against each other for consistency. A verification workshop was held to compare models that predict the soundscape from wind and vessels and estimate detection ranges for a submerged target. Eight modeling groups participated in the workshop which predicted sound levels with observation windows of 1 min and 1 km2. Substantial differences were found in how modelers computed the propagation losses for decidecade bands and estimated the source level of wind. …

3d Printed Microfluidic Fabrication Methodology, Characterization, Mechanical Design, And Applications In Electrostatic Artificial Muscles And Benthic Microbial Fuel Cells, Terak B. Hornik

Master's Theses

The fabrication of microfluidic devices often requires specialized methods. The development of these methods requires careful characterization and understanding of the processes involved. Using primarily PolyJet 3D printing technology, microfluidics offers a wide scope of applications such as microfluidic benthic microbial fuel cells (MBMFCs) and electrostatic artificial muscles. MBMFCs benefit from the confinement of the microbes resulting in close proximity between the electrode and the organisms. Using a modular design called the Sponge, assembly and upscaling is possible. Electrostatic artificial muscles benefit from a microfluidic approach due to the non-linearity of electrostatic attraction creating disproportionate benefits when miniaturized. When designed …

An Overview Of Ancillary Services Provided By Vehicle-To-Grid Systems, Fazel Mohammadi, Mahmood Mirhashemi

Electrical & Computer Engineering and Computer Science Faculty Publications

Vehicle-to-Grid (V2G) systems are emerging as a pivotal technology in modern power systems, offering a range of ancillary services that enhance the stability and reliability of power systems. This paper provides an overview of the key ancillary services provided by V2G systems, highlighting their role in grid modernization. Technical challenges, economic implications, and policy considerations associated with the deployment of V2G systems are explored to assess their potential impact on advancing a more resilient and sustainable energy infrastructure.

Analysis Of Multivariable Sensor Responses To Multi-Analyte Gas Samples In The Presence Of Interferents And Humidity, Sakin Sarwar Satter, Florian Bender, Nicholas Post, Antonio J. Ricco, Fabien Josse

Electrical and Computer Engineering Faculty Research and Publications

This work presents an adaptive sensor signal-processing approach to enable quantification, using a single gas sensor or a small sensor array, of multianalyte mixtures of aromatic hydrocarbons in the presence of various interferents and humidity for environmental-monitoring applications. Dynamic sensor responses are analyzed by extracting multivariable sensing parameters to provide necessary sensitivity and selectivity. This is achieved by integrating the Levenberg–Marquardt-modified, exponentially weighted, recursive-least-squares-estimation (LM-modified EW-RLSE) algorithm and principal-component analysis (PCA). Achieving measured detection limits as low as 3 μg/L (≤1 ppm by volume) for 6 target analytes, the system exhibits excellent PCA cluster separation for all analytes in the …

Joint Modeling Of Degradation Signals And Time-To-Event Data For The Prediction Of Remaining Useful Life, Sebastian Brumm, Erik Linstead, Junde Chen, Narayanaswamy Balakrishnan, Yuxin Wen

Engineering Faculty Articles and Research

Accurate prediction of remaining useful life (RUL) for in-service systems plays an important role in ensuring efficient operation of industrial equipment and in preventing unexpected equipment failures. In this paper, we present a prognostic framework for real-time RUL prediction based on joint modeling of both degradation signals and time-to-event data. The proposed model employs a change point-based general path model to capture signal non-linearity and Neural network (NN) based Cox model to link the time-to-event data with the estimated degradation trend. An empirical two-step scheme for hyperparameter estimation is proposed to enhance prognostic accuracy. Furthermore, an efficient Bayesian model updating …

Journal Of Electrochemistry Is Selected To Entering Ici Journals Master List, Editorial Office Of J.Electrochem.

Journal of Electrochemistry

No abstract provided.

Goodbye With Tears! Deep Condolences To Academician Zhao-Wu Tian!, Editorial Office Of J.Electrochem.

Journal of Electrochemistry

No abstract provided.

The Adviser Of Journal Of Electrochemistry Professor Christian Amatore Received The Chinese Government Friendship Award, Editorial Office Of J.Electrochem.

Journal of Electrochemistry

No abstract provided.

Addressing Output Ripples In Low-Power Cmos-Based Multistage Dc-Dc Boost Converters For Self-Powered Electrochemical Sensors Applications, Sameh O. Abdellatif, Ahmat Abdelwahid

Electrical Engineering

No abstract provided.

Design And Analysis Of Optimal Energy Efficient Routing Protocols For Lifetime Maximization And Qos Enhancement In Wireless Body Area Networks, Karthikeyan S

Theses and Dissertations

In recent times, Wireless Body Area Networks (WBAN) a subsection of Wireless Sensor Networks (WSN) a promising technology for the future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers which enables one-to-one care by implementing Tele-Medicine and Tele-Health solutions. Machine Learning (ML) and Internet of Things (IoT) enabled medical big data is the future of the healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care.

Recent …

Multi-Agent Reinforcement Learning For Smart Community Energy Management, Patrick Wilk, Ning Wang, Jie Li

Henry M. Rowan College of Engineering Departmental Research

This paper investigates a Local Strategy-Driven Multi-Agent Deep Deterministic Policy Gradient (LSD-MADDPG) method for demand-side energy management systems (EMS) in smart communities. LSD-MADDPG modifies the conventional MADDPG framework by limiting data sharing during centralized training to only discretized strategic information. During execution, it relies solely on local information, eliminating post-training data exchange. This approach addresses critical challenges commonly faced by EMS solutions serving dynamic, increasing-scale communities, such as communication delays, single-point failures, scalability, and nonstationary environments. By leveraging and sharing only strategic information among agents, LSD-MADDPG optimizes decision-making while enhancing training efficiency and safeguarding data privacy—a critical concern in the …

A Deep Autoencoder For Electric Double Layer Capacitance Prediction In Electrochemical Sensors, Mason Mcgarrity, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the application of a deep autoencoder neural network to accurately predict the electric double layer capacitance from real-world parameters in binary, asymmetric electrolytes under low concentration conditions. By utilizing a modest simulation-based dataset of just 250 samples, the deep autoencoder neural network model developed in this study effectively predicted the capacitance by learning the critical features and relationships of the electric double layer model and encoding this learned representation into a low-dimensional latent space. From the latent variables, the decoder block of the neural network learned to effectively recreate the high-dimensional input. To enhance the model's robustness, …

Cross-Track Seabed Imaging And Buried Object Detection With A Multibeam Sonar, Charles W. Holland, Samuel Pinson, Daniel L. Orange, Cody R. Henderson

Electrical and Computer Engineering Faculty Publications and Presentations

What lies underneath the ocean floor is of interest to a wide variety of disciplines. The focus here is imaging the upper tens of meters of material beneath the seafloor. The sub-bottom profiler is a valuable tool to that end, producing a 2-D image in depth below the seafloor and along the track of the ship. Geoscientists and engineers are frequently interested in not only the subseabed beneath the ship but also either side or cross-track of the ship. We show an approach to cross-track imaging using a low-frequency multibeam sub-bottom profiler. The main result is the detection of a …

A Concept Of Controlling Grover Diffusion Operator: A New Approach To Solve Arbitrary Boolean-Based Problems, Ali Al-Bayaty, Marek A. Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

A controlled-diffusion operator for Boolean oracles is designed as a new approach for Grover’s algorithm to search for solutions for arbitrary logical structures of such oracles, since the Grover diffusion operator is not able to find correct solutions for some logical structures of Boolean oracles. We also show that the Phase oracles do not work sometimes correctly using the Grover diffusion operator. Our proposed controlled-diffusion operator relies on the states of output qubit, as the reflection of Boolean decisions from a Boolean oracle without relying on the phase kickback. We prove that on many examples of Boolean and Phase oracles …

Long-Distance Photon-Mediated And Short-Distance Entangling Gates In Three-Qubit Quantum Dot Spin Systems, Nooshin M. Estakhri, Ada Warren, Sophia E. Economou, Edwin Barnes

Engineering Faculty Articles and Research

Superconducting resonator couplers will likely become an essential component in modular semiconductor quantum dot (QD) spin qubit processors, as they help alleviate crosstalk and wiring issues as the number of qubits increases. Here, we focus on a three-qubit system composed of two modules: a two-electron triple QD resonator coupled to a single-electron double QD. Using a combination of analytical techniques and numerical results, we derive an effective Hamiltonian that describes the three-qubit logical subspace and show that it accurately captures the dynamics of the system. We examine the performance of short-range and long-range entangling gates, revealing the effect of a …

Enhancing Radiation Performance Of A 0.18 Μm Cmos 60 Ghz On-Chip Double-Slot Vivaldi Antenna, Elsayed Ibrahim Elsaidy Mr., Amr H. Hussein Prof.Dr., Mustafa M. Abd Elnaby Prof. Dr.

Journal of Engineering Research

This paper presents the design of a 60-GHz double-slot Vivaldi antenna (DSVA) using standard 0.18 µm CMOS technology. The antenna's two slots are uniformly excited in both amplitude and phase by a coplanar waveguide (CPW) power divider. A double-Y balun feeding structure is also used to transition from the CPW to the coplanar slot line (CPS). Two techniques are investigated to enhance the antenna's radiation characteristics. The first technique involves incorporating equal corrugations along the edges of the flare aperture, resulting in a significant gain enhancement of 0.9 dBi and an improvement in radiation efficiency by 7%. The second technique …

Experimentally Validated Dynamic Equivalent Circuit Model Of Perovskite Solar Cells: Utilizing Machine Learning Algorithms For Parameter Extraction Using I-V And C-V Characteristics, Zahraa Ismail, Eman Sawires, Fathy Amer, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

M3t-Lm: A Multi-Modal Multi-Task Learning Model For Jointly Predicting Patient Length Of Stay And Mortality, Junde Chen, Qing Li, Feng Liu, Yuxin Wen

Engineering Faculty Articles and Research

Ensuring accurate predictions of inpatient length of stay (LoS) and mortality rates is essential for enhancing hospital service efficiency, particularly in light of the constraints posed by limited healthcare resources. Integrative analysis of heterogeneous clinic record data from different sources can hold great promise for improving the prognosis and diagnosis level of LoS and mortality. Currently, most existing studies solely focus on single data modality or tend to single-task learning, i.e., training LoS and mortality tasks separately. This limits the utilization of available multi-modal data and prevents the sharing of feature representations that could capture correlations between different tasks, ultimately …

Backup Subscription Scheme For Differential Protection Using Iec61850-9-2 Sampled Values, Mohammad Khalili Katoulaei, Aamir Rahmani, Hans Kristian Høidalen, Irina Oleinikova, Bruce A. Mork

Michigan Tech Publications

In IEC-61850-based digital substations, the protection IED’s performance is dependent on merging unit’s vendor implementation, communication networks, and measurement circuit’s health conditions. As the process bus Sampled Value(SV) enables the availability of all sensor data on a communication network, this paper proposes a Backup Subscription scheme (BSS) for a transformer differential protection (87T, PDIF) function. BSS utilizes sensor data in digital substations to achieve a flexible protection scheme using a dynamic subscription feature. Thus, in case of failure of one sensor, differential protection would be maintained. The paper presents the implementation and verification of a prototyped scheme using a Hardware-in-the-loop …

Study Of The Physical-Chemical Properties Of Chitosan Synthesized By The Cryogenic Method From Apis Mellifera Bees, Dilnoza Sohibovna Isomitdinova, Gulnora Akmalovna Ikhtiyarova, Jahongir Mustaqim O’G’Li Sharopov

Technical science and innovation

Chitosan was synthesized from Apis Mellifera dead bees by traditional and cryogenic methods, and the degree of deacetylation, viscosity, and molecular mass of the synthesized sample was studied. Chitosan was synthesized by deacetylation of chitin under cryogenic conditions. NaOH concentration 40%, temperature 90 ± 3 °C, time 120 min. The degree of deacetylation, and molecular mass was determined using an Ubbelode viscometer. DDA was determined by conductometric titration under standard conditions. The degree of deacetylation of Apis Mellifera chitosan was 87%. synthesized by cryogenic method DDA of chitosan was 83% synthesized by traditional method. Conducting the synthesis in liquid nitrogen …

Development Of A Universal Humidity Converter At Ultra High Frequency, Hulkar Asadullayevna Usmonova, Asadulla Turgunbayev

Technical science and innovation

The article proposes the and principle of operation of a universal primary measuring transducer of humidity at an ultra-high frequency with reciprocating motion along the vertical axis of rotation, which allows increasing the information redundancy of the primary measuring transducer (the influence of inhomogeneities, including humidity in the composition of the material, on the measurement result is averaged). The design of the primary measuring transducer under consideration provides for correction of the moisture measurement result by the mass (density) of the material, which will make it possible to carry out measurements without preliminary weighing the sample. The obtained results of …

Analysis Of The Drives Of Pumping Stations In The Southern Part Of The Angren Coal Mine Of Uzbekugol Jsc, Shukhrat Badretdinovich Umarov, Murakam Mirzakhmatovich Mirsaidov, Islombek A’Lobekovich Abdullabekov, Saidamirkhon Hayrullakhon O‘G‘Li Oripov

Technical science and innovation

This article presents the results of a comprehensive analysis of the operation of pumping station drives in the southern part of the Angren coal mine of Uzbekugol JSC. The modes of operation and designs of pumps of various types are considered, including СPSH 850-240, D320-50, D1200-125 and GR170-30. The study covers the performance characteristics of these pumps, as well as their adaptation to the specific conditions of the coal mine. Special attention is paid to the impact of climate change on the operating modes of pumping units. Changes in the amount and intensity of precipitation, as well as fluctuations in …

Study Of The Synthesis Mechanism And Some Properties Of Oligomers Based On Epichlorohydrin And Diphenylguanidine, Rovshan Israilovich Ismailov, Normuhamad Edgarov, Alisher Israilovich Ismailov

Technical science and innovation

In this work, the synthesis and the scheme for obtaining an oligomer based on epiiodhydrin with diphenylguanidine were studied, the proportions of epiiodhydrin in the initial mixture, the yield of oligomers, and the reduced viscosity were studied. The results of spectroscopic and elemental analyzes are obtained, which show that changes in the ratio of monomers have almost no effect on the iodine content in the oligomer. This is apparently due to the fact that epiiodhydrin is much more active in reactions than amino compounds. By studying the degree of conversion on the viscosity of the oligomerization products, the effects on …

Justification Of The Effectiveness Of Software For The Design Of Open-Pit Mining, Tolib Olimovich Komilov, Bobirjon Nabijonovich Ashurov, Ulugbek Bakhtiyorovich Sattarov, Ma’Ruf Ixtiyorovich Karimov

Technical science and innovation

The article notes that the economic feasibility of implementing a project based on deposits directly affects the economy of the country and the region, as well as the construction of new facilities, the use of the most balanced approaches and design solutions in a complex will allow achieving the set goal of increasing production volumes and bringing the enterprise to a new level of development. In order to achieve the above goals, it has been proven with the implementation of investment projects using software for the design of open-pit mining, it is possible to further develop the region, agriculture with …

Algorithm Of Adaptive Cyclic Control Of Position-Trajectory Moving Objects (In The Case Of An Industrial Robot Manipulator), Zaripov Oripjon Olimovich, Sevinova Dildora Usmonovna

Technical science and innovation

This article is devoted to the adaptive cyclic control of an industrial robot manipulator on the example of moving objects with a positional trajectory. The specific features of applying the principle of adaptive cyclic control to industrial robots are also presented. The kinematic scheme describing the movement of the robot working body with the adaptive cycle control system and the transition states of the working body based on limited positions in space are presented, the sequence of movement of the manipulator links and the selection of information about the actions at individual levels of mobility, control in the case of …

Possibility Of Applying Methods Of Analysis And Synthesis Of Linear Electrical Circuits To Some Nonlinear Circuits, Qudrat Gayratovich Abidov, Anvar Ismatullaevich Rahmatullaev, Mexrnoz Odiljonovna Gafurova

Technical science and innovation

This article discusses the possibility of applying the analysis and calculation methods used in linear electric circuits to certain nonlinear circuits. It is shown that if we abandon the quantitative criteria for the analysis and synthesis of nonlinear circuits using linear principles, some problems in nonlinear electrical engineering can be correctly solved based on linear theory. As an example, the simplest ferroresonant voltage stabilizer is considered, using the method of superposition and the equivalence of ferroresonant circuits in series and parallel connections. The electrical diagram is shown, and a formula for the stabilization coefficient is derived, representing a complex nonlinear …

Methodology For Calculating The Technical And Economic Indicators Of A Photovoltaic Thermal Installation Based On A Thin-Film Cadmium Telluride Module, Islom Rakhmatovich Jurayev, Isroil Abriyevich Yuldoshev, Zukhra Islamovna Jurayeva

Technical science and innovation

This article presents a methodology for calculating the technical, economic and environmental indicators of the developed design of a photovoltaic thermal installation with a nominal electric power of 1,2 kW and a thermal power of 2.17 kW for simultaneous production of electric energy and hot water for household needs of consumers. The capacity of the installation is 5.26 kWh of electricity and 30 liters/hour of heated water. The schemes of obtaining hot water by additional heating of the heated water produced by the installation in the cool seasons of the year are presented. This installation allows to receive total energy …

Predictive Residual Neural Networks For Optical Trapping Of Small Particles, Nasim Mohammadi Estrakhri, Ponthea Zahraii, Saman Kashanchi, Nooshin M. Estakhri

Engineering Faculty Articles and Research

Optical tweezers provide a non-contact method to trap, move, and manipulate micro- and nano-sized objects. Using properly designed dielectric and plasmonic nanostructure configurations, optical tweezers have been tailored to create stable and precise trapping for nanoscale objects. Recent advances in numerical optimization techniques allow further enhancement in nanoscale optical traps through inverse optimization of such configurations. One of the main challenges in such optimization approaches is the time-consuming nature of full-wave simulation of nanostructures and postprocessing steps to extract optical forces. To address this challenge, we introduce a surrogate solver based on residual neural networks that can accurately predict the …

Impulse, Fall 2024, Jill Fier, Micayla Standish, Jerome J. Lohr College Of Engineering

Impulse (Jerome J. Lohr College of Engineering Publication)

2 | Math Teacher Counts Her Blessings
3 | New Roles for Burckhard
4 | Three New Department Heads
6 | New Faculty and Staff
8 | Taking Engineering on The Road
10 | Dennis Helder Named Distinguished Alum
12 | Mccomish Endowment Making an Impact
14 | Innovate Sodak Supports Local Projects
16 | R1 the SDSU Way
18 | Nation’s Top Civil Engineering Student Chapter
22 | Hunter Wallster Setting Records
24 | Jenna Currier: When Passion Meets Talent
28 | Student Teams Compete
30 | RASC-AL Team Overcomes Setback
32 | Break the Ice Team Comes Home …

Accurate Synthesis Of Dysarthric Speech For Asr Data Augmentation, Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry

Electrical and Computer Engineering Faculty Publications

Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility through slow, uncoordinated control of speech production muscles. Automatic Speech recognition (ASR) systems can help dysarthric talkers communicate more effectively. However, robust dysarthria-specific ASR requires a significant amount of training speech, which is not readily available for dysarthric talkers. This paper presents a new dysarthric speech synthesis method for the purpose of ASR training data augmentation. Differences in prosodic and acoustic characteristics of dysarthric spontaneous speech at varying severity levels are important components for dysarthric speech modeling, synthesis, and augmentation. For dysarthric speech synthesis, a modified neural multi-talker …