Electrical and Electronics Commons^™

Data Driven Approach For Increasing Power Grid Situational Awareness And Mitigating Cascaded Failures, Yassine Mhandi

Dissertations and Theses

The main purpose of this thesis is to use Artificial Neural network as a tool to monitor system health and performance. In other word Using ANN can increase the system awareness and can be used as a tool to mitigate cascade failure in power grid due to loss of communication in a critical power node and as a result avoid catastrophic phenomena like electric blackout. In this thesis, a modified IEEE 30 bus system is used as a system under study. Modified IEE 30 bus system is IEEE 30 bus system in which 2 sets of its synchronous condensers changed …

Ldmos Power Transistor Design And Evaluation Using 2d And 3d Device Simulation, Aiman Salih

Electronic Theses and Dissertations

The benefit of the super-junction (SJ) technique and the use of a floating P layer for low voltage (30 V) laterally double-diffused metal oxide semiconductor (LDMOS) transistors are investigated in this thesis using Sentaurus TCAD simulation software. Optimizations to the SJ LDMOS were attempted such as adding a buffer layer to the device, but simulation and theoretical evidence point out that the benefits of the SJ technique are marginal at the 30 V application. A replacement for the SJ technique was sought, the floating P structure proved to be a good solution at the low voltage range due to its …

A Tree-Based Collision Resolution Algorithm For Rfid Using Bayesian Tag Estimation, Sanika Krishnamali Wijayasekara

Chulalongkorn University Theses and Dissertations (Chula ETD)

Radio Frequency IDentification (RFID) is a promising wireless object identifying technology which uses radio frequency waves to transmit data between an RFID reader and tags. The RFID systems have been effectively applied in different areas, like manufacturing, healthcare, supply chain, transportation and agriculture. Despite the vast deployment of the RFID technology in practice, the inherent RFID tag collision problem still persists as a serious concern and remains a challenge. The tag collision problem happens when some tags in reader's vicinity try to transmit data to a reader simultaneously without priori coordination. The existing RFID Electronic Product Code (EPC) Class 1 …

Maximizing Cache Value For Distributing Content Via Small Cells In 5g, Ibrahim Khalaf Freewan

Electronic Theses and Dissertations

The objective of this thesis is to develop an algorithm for distributing content at small cells in 5G, wherein small cells (SCs) are set up instead of macro cells to serve mobile users. Users may simultaneously access between one and some maximum number of SCs, the actual number of SCs being drawn from a distribution. The source library is located away from these sites, and it stores files as a collection of RaptorQ-encoded symbols. By using RaptorQ symbols a very large number of distinct encoding symbols can be generated and a collection of received encoded symbols slightly larger than the …

Optimising The Performance Of Cement-Based Batteries, Aimee Byrne, Shane Barry, Niall Holmes Dr., Brian Norton

Articles

The development of a battery using different cement-based electrolytes to provide a low but potentially sustainable source of electricity is described. The current, voltage, and lifespan of batteries produced using different electrolyte additives, copper plate cathodes, and (usually) aluminium plate anodes were compared to identify the optimum design, components, and proportions to increase power output and longevity. Parameters examined include water/cement ratio, anode to cathode surface area ratio, electrode material, electrode spacing, and the effect of sand, aggregate, salts, carbon black, silica fume, and sodium silicate on the electrolyte. The results indicate that the greatest and longest lasting power can …

Classification Of Radar Jammer Fm Signals Using A Neural Network Approach, Ariadna Estefania Mendoza

Open Access Theses & Dissertations

A Neural Network (NN) used to classify radar signals is proposed for the purpose of military survivability and lethality analysis. The goal of the NN is to correctly differentiate Frequency-Modulated (FM) signals from Additive White Gaussian Noise (AWGN) using limited signal pre-processing. The FM signals used to test the NN approach are the linear or chirp FM and the power-law FM. Preliminary simulations using the moments of the signals in the time and frequency domain yielded better results in the frequency domain, suggesting that time domain training would not be as effective frequency domain training. To test this hypoThesis, we …

Design And Investigation Of De Vries Liquid Crystals Based On 5-Phenyl-Pyrimidine And (R,R)-2,3-Epoxyhexoxy Backbone., S.P. Sreenilayam", D. Rodriguez-Lojo, V. P. Panov, V. Swaminathan, J. K. Vij, Yuri Panarin, E. Gorecka, A. Panov, P.J. Stevenson

Articles

Calamitic liquid crystals based on 5-phenyl-pyrimidine derivatives have been designed, synthesized, and characterized. The 5-phenyl pyrimidine core was functionalized with a chiral (R,R)-2,3-epoxyhexoxy chain on one side and either siloxane or perfluoro terminated chains on the opposite side. The one involving a perfluorinated chain shows SmA^{*} phase over a wide temperature range of 82 °C, whereas the siloxane analog exhibits both SmA^{*} and SmC^{*} phases over a broad range of temperatures, and a weak first-order SmA^{*}-SmC^{*} transition is observed. For the siloxane analog, the reduction factor for the layer shrinkage R (relative to its thickness at the SmA^{*}-SmC^{*} transition temperature, …

Investigation Of Electrical Defects Arising From Excessive Sidewall Force And Excessive Tensile Strain On Power Cables, Darren Mcconnon, Joseph Kearney, Tom Looby, James O'Shaughnessy

Conference papers

The study includes a comprehensive review of the existing literature and guidelines regarding the effects of sidewall force and tensile strain on power cables during installation. The most appropriate diagnostic test methods required to analyse these effects are also assessed. The results of tests and analysis of the existing literature are then combined in an attempt to determine a realistic basis for guidelines and recommendations relevant to cable installation forces.

Effect Of Ion Flux (Dose Rate) In Source-Drain Extension Ion Implantation For 10-Nm Node Finfet And Beyond On 300/450mm Platforms, Ming-Yi Shen

Legacy Theses & Dissertations (2009 - 2024)

The improvement of wafer equipment productivity has been a continuous effort of the semiconductor industry. Higher productivity implies lower product price, which economically drives more demand from the market. This is desired by the semiconductor manufacturing industry. By raising the ion beam current of the ion implanter for 300/450mm platforms, it is possible to increase the throughput of the ion implanter. The resulting dose rate can be comparable to the performance of conventional ion implanters or higher, depending on beam current and beam size. Thus, effects caused by higher dose rate must be investigated further. One of the major applications …

Designing Framework For The Computer Aided Design Of Silicon Carbide Jfet Circuits In Bleo Environments, Venkata Vinay Naidugari

Electronic Theses and Dissertations

Abstract: circuit design and testing are two essential processes to synthesis of an efficient and reliable circuit. Real-time testing of a circuit through circuit fabrication and development is an expensive and a risky procedure whereas testing the circuit by modelling and simulating is more efficient and inexpensive. Silicon-based semiconductors are the basic components of any modern day electronic devices, and their usage has dominated the marketplace. But these conventional cmos devices cannot exist in an environment consisting of harsh radiation, high temperature and many other environmental conditions, such as venus or mars. However, 6h-sic jfets, which are basic logic gate …

Understanding Adversarial Training: Improve Image Recognition Accuracy Of Convolution Neural Network, Naoki Ishibashi

Dissertations and Theses

Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits. Recently many researchers work on Convolution Neural Network for image recognition, and get results as good as human being. Additionally, Image recognition task is getting more popular and high demand to apply to other fields, but also there are still many problems to utilize in everyday life. One of these problems is that several machine learning models, including neural networks, consistently misclassify adversarial examples—inputs formed by applying small but intentionally worst-case perturbations to examples from the dataset, such that …

Semiconductor Materials And Devices For 2 Micron Generation, Dzianis Saladukha

Theses

In the last century, semiconductor research has led to significant changes in the fields of communication, medicine, the environment, and many others. Semiconductor devices provide a relatively simple and effective way to convert electrical energy to light and vice versa. Devices based on semiconductor materials of various kinds provide interaction of an electromagnetic signal in the range of wavelengths with a medium. Examples of such devices are LED lamps, photovoltaic cells, thermometers, gas sensors, cameras, and many others. The study of various semiconductors broadens the range of application of photonics. This work is based on the study of materials which …

Improved N-Type 4h-Sic Epitaxial Layer Radiation Detectors And Noise Analysis Of Front-End Readout Electronics, Khai V. Nguyen

Theses and Dissertations

Schottky barrier radiation detectors were fabricated on n-type 4H-SiC epitaxial layers (12 – 50 μm) grown by hot wall CVD process on highly nitrogen doped 4H-SiC (0001) substrates with 4-8º off-cut towards the ̅ direction. Ni/4H-SiC Schottky barrier radiation detectors, a very low leakage current of 0.18 nA at 250 V bias, revealing low thermal noise, was observed in current-voltage (I-V) measurements. Using a thermionic emission model, junction properties such as barrier height of ≥1.10 eV and an ideality factor of ≤1.29 were determined. An effective carrier concentration of 1.03×1015 cm-3 was calculated by capacitance-voltage (C-V) measurement. Deep level transient …

Omni-Directional Infrared 3d Reconstruction And Tracking Of Human Targets, Emrah Benli

Theses and Dissertations

Omni-directional (O-D) infrared (IR) vision is an effective capability for mobile systems in robotics, due to its advantages: illumination invariance, wide field-of-view, ease of identifying heat-emitting objects, and long term tracking without interruption. Unfortunately, O-D IR sensors have low resolution, low frame rates, high cost, sensor noise, and an increase in tracking time. In order to overcome these disadvantages, we propose an autonomous system application in indoor scenarios including 1) Dynamic 3D Reconstruction (D3DR) of the target view in real time images, 2) Human Behavior-based Target Tracking from O-D thermal images, 3) Thermal Multisensor Fusion (TMF), and 4) Visual Perception …

Optical Spectroscopy Of Wide Bandgap Semiconductor Heterostructures And Group-Iv Alloy Quantum Dots, Tanner A. Nakagawara

Theses and Dissertations

Efficient and robust blue InGaN multiple quantum well (MQW) light emitters have become ubiquitous; however, they still have unattained theoretical potential. It is widely accepted that “localization” of carriers due to indium fluctuations theoretically enhance their efficiency by moderating defect-associated nonradiative recombination. To help develop a complete understanding of localization effects on carrier dynamics, this thesis explores degree of localization in InGaN MQWs and its dependence on well thickness and number of wells, through temperature and power dependent photoluminescence measurements. Additionally, silicon-compatible, nontoxic, colloidally synthesizable 2-5 nm Ge_1-xSn_x alloy quantum-dots (QDs) are explored for potential visible to …

กรณีศึกษาการออกแบบการป้องกันกระแสเกินสำหรับปฏิบัติการไมโครกริดในระบบจำหน่าย, จิรณัฐ์ ตั้งจิตติจริยา

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัญหาของระบบป้องกันเป็นหนึ่งในปัญหาหลักที่การไฟฟ้าวิตกกังวลและส่งผลต่อการอนุญาตให้เกิดการจ่ายไฟฟ้าแบบระบบไฟฟ้าแยกโดด เนื่องจากผลของการเชื่อมต่อแหล่งผลิตไฟฟ้าขนาดเล็กแบบกระจายตัว ทำให้กระแสโหลดที่จ่ายจากโครงข่ายไฟฟ้าของการไฟฟ้าในวงจรนั้นน้อยลง และปัญหาการเปลี่ยนแปลงสถานะการจ่ายไฟฟ้า ทำให้กระแสโหลดและกระแสความผิดพร่องมีการเปลี่ยนแปลงบ่อย ส่งผลกระทบโดยตรงต่อการทำงานของรีเลย์ป้องกันกระแสเกินของอุปกรณ์ป้องกันของการไฟฟ้า เป็นสาเหตุทำให้รีเลย์ป้องกันกระแสเกินทำงานผิดพลาดได้ หากไม่มีการปรับเปลี่ยนค่าปรับตั้งให้เหมาะสมวิทยานิพนธ์นี้จะแก้ไขปัญหาของระบบป้องกันของไมโครกริดที่เกี่ยวกับรีเลย์ป้องกันกระแสเกิน ด้วยการใช้รีเลย์ป้องกันกระแสเกินที่สามารถปรับตัวได้ในสถานะต่าง ๆ เช่น สถานะเชื่อมต่อโครงข่าย สถานะจ่ายไฟฟ้าแบบระบบไฟฟ้าแยกโดด และคำนึงถึงการประสานการป้องกันระหว่างอุปกรณ์ป้องกัน ทดสอบกับระบบทดสอบที่จำลองจากระบบจริงของการไฟฟ้าส่วนภูมิภาค คำนวณและจำลองการทำงานด้วยโปรแกรม Power Factory DIgSILENT

เครือข่ายตัวตรวจรู้แบบไร้สายบลูทูธ - ไวไฟเพื่อใช้วัดอุณหภูมิ ความชื้นและความเข้มแสง, ธนวิชญ์ มานิตย์โชติพิสิฐ

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้เป็นการพัฒนาระบบเครือข่ายตัวตรวจรู้แบบไร้สายบลูทูธ - ไวไฟเพื่อใช้วัดอุณหภูมิ ความชื้น ความเข้มแสง และจัดเก็บข้อมูลดังกล่าวไปยังฐานข้อมูลตามมาตรฐาน IEEE1888 โดยตัวตรวจรู้ขนาดเล็กที่ถูกออกแบบให้ใช้พลังงานน้อยและสามารถทำงานได้นานโดยใช้พลังงานจากถ่านเม็ดกระดุมจะส่งข้อมูลด้วยสัญญาณบลูทูธพลังงานต่ำ ไปยังเกตเวย์ที่เชื่อมต่ออยู่กับสัญญาณไวไฟ และเกตเวย์ก็จะส่งข้อมูลโดยใช้มาตรฐานการสื่อสาร IEEE1888 ไปเก็บยังฐานข้อมูล

Implantable Wireless Sensor Networks: Application To Measuring Temperature For In Vivo Detection Of Infections, Praharsh Madappaly Veetil

Dissertations, Master's Theses and Master's Reports

It is has been proven that infection in the body cause a local temperature increase due to localized inflammation. Therefore, a method to provide early diagnostic or long-term tracking of this infection will provide great benefits to patients with diabetic foot ulcers or sickle cell disease, and those receiving hemodialysis where they suffer from a weakened immune system. The goal of this project is to develop an implantable wireless temperature sensor based on a wireless sensor network system for monitoring infections in situ. The analog signals from the thermistors are digitized and wirelessly transmitted to a computer with an ez430-rf2500 …

Second-Life Battery Electrochemical Impedance Spectroscopy Modeling And Application To A Residential System, Busra Ovali

Dissertations, Master's Theses and Master's Reports

This study presents the modeling of a used hybrid electric vehicle battery (also called second life battery), and its design and simulation for a standalone residential photovoltaic system. For this purpose, the battery was tested through capacity and electrochemical impedance spectroscopy tests (EIS). These tests were done with variable temperatures (0ºC, 15ºC and 30ºC), and results were used to fit an equivalent impedance circuit. This model was used to incorporate a second life battery to a PV system, which was simulated by using daily irradiance and load data for Tucson (AZ) under most various month (May).

Heterogeneous Multi-Sensor Fusion For 2d And 3d Pose Estimation, Hanieh Deilamsalehy

Dissertations, Master's Theses and Master's Reports

Sensor fusion is a process in which data from different sensors is combined to acquire an output that cannot be obtained from individual sensors. This dissertation first considers a 2D image level real world problem from rail industry and proposes a novel solution using sensor fusion, then proceeds further to the more complicated 3D problem of multi sensor fusion for UAV pose estimation.

One of the most important safety-related tasks in the rail industry is an early detection of defective rolling stock components. Railway wheels and wheel bearings are two components prone to damage due to their interactions with the …

Minimum Time Control Of Paralleled Boost Converters, Shishir Patel

Dissertations, Master's Theses and Master's Reports

Demand for electrification is booming in both, traditional and upcoming generations of technological advancements. One of the constituent blocks of these electrified systems is Power conversion. Power conversion systems are often constructed by paralleling multiple power converter blocks for high performance and reliability of overall system. An advanced control technique is developed with an aim to optimize system states of heterogeneous power converters within minimum time while maintaining feasible stress level on individual power converter blocks. Practical implementation of real-time controller and performance improvement strategies are addressed. Experimental results validating high performance control scheme, and sensitivity analysis of system states …

การลดเสียงรบกวนจากเครื่องกรอฟันที่ขึ้นกับการตัดออกเสียงรบกวนแบบปรับตัว, จิฏิณ เข็มวงษ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์นี้นำเสนอเทคนิคการลดเสียงรบกวนจากเครื่องกรอฟันแบบสองขั้นตอน (Two-Step Dental-Drill Noise Reduction, TSDNR) โดยใช้ระบบการตัดออกเสียงรบกวนแบบปรับตัว (Adaptive Noise Cancellation, ANC) เทคนิคที่นำเสนอถูกออกแบบสำหรับหูฟังสวมศีรษะตัดออกเสียงรบกวน (noise-cancelling headphone) เพื่อให้ทันตแพทย์และคนไข้สวมใส่ขณะที่มีการรักษาฟัน โดยเฉพาะอย่างยิ่ง เพื่อป้องกันการสูญเสียการได้ยินของทันตแพทย์ที่ต้องทำงานภายใต้สถานการณ์ที่มีเสียงรบกวนจากเครื่องกรอฟันเป็นระยะเวลานานๆ เทคนิค TSDNR ประกอบด้วยสองขั้นตอน เพื่อลดเสียงรบกวนจากเครื่องกรอฟัน ในขั้นตอนแรก ขั้นตอนวิธีการสกัดความถี่หลักมูลและความถี่ฮาร์มอนิก (fundamental-and-harmonic frequencies extraction algorithm) ถูกนำเสนอเพื่อใช้ประมาณความถี่หลักมูลและความถี่ฮาร์มอนิกของเสียงรบกวนจากเครื่องกรอฟัน หลังจากนั้น สัญญาณไซนูซอยด์ของความถี่หลักมูลและความถี่ฮาร์มอนิกต่างๆจะถูกสร้างและใช้เป็นสัญญาณอ้างอิงของระบบ ANC หลายระบบพร้อมๆกันเพื่อตัดออกความถี่หลักมูลและความถี่ฮาร์มอนิกของเสียงรบกวนจากเครื่องกรอฟัน ในขั้นตอนที่สอง ตัวกรองแบบปรับตัวอีกตัวหนึ่งของระบบ ANC จะถูกใช้ร่วมกับตัวกรองผ่านสูงเพื่อกำจัดองค์ประกอบความถี่สูงอื่นๆของเสียงรบกวนจากเครื่องกรอฟัน ผลการจำลองผ่านคอมพิวเตอร์โดยใช้เสียงรบกวนจากเครื่องกรอฟันที่บันทึกเสียงไว้ และสัญญาณเสียงพูดจากฐานข้อมูล IEEE แสดงให้เห็นว่าเทคนิค TSDNR ที่นำเสนอสามารถลดเสียงรบกวนจากเครื่องกรอฟันได้อย่างมีประสิทธิภาพ ทั้งในด้านของสมรรถนะในการลดทอนเสียงรบกวนและในด้านของคุณภาพของเสียงพูด ยิ่งไปกว่านั้น ผลจากการทดสอบฟังจากผู้ฟัง 15 คน ยืนยันประสิทธิภาพของเทคนิคที่นำเสนอนี้อีกด้วย

Wavelength Drift In Cwdm Systems: Impact And Measurement, Thomas Freir

Masters

The research begins with an investigation of wavelength drift in Coarse Wavelength Division Multiplexing (CWDM) systems, especially in the context of temperature dependent wavelength drift. A simple model was proposed using a typical ‘application’ from ITU-T G.695. OptiSystem was chosen as the simulation platform due to its ease of use, the variety and flexibility of its inbuilt components and similar models simulated on the platform in the past. The research then investigates the measurement of wavelength drift focusing on how to determine an acceptable wavelength accuracy for a CWDM wavelength monitor. The chosen approach arose from observations of the results …

Secrecy Rates And Optimal Power Allocation For Full-Duplex Decode-And-Forward Relay Wire-Tap Channels, Lubna Elsaid, Leonardo Jimenez-Rodriguez, Nghi H. Tran, Sachin Shetty, Shivakumar Sastry

Computational Modeling & Simulation Engineering Faculty Publications

This paper investigates the secrecy rates and optimal power allocation schemes for a decode-and-forward wiretap relay channel where the transmission from a source to a destination is aided by a relay operating in a full-duplex (FD) mode under practical residual self-interference. By first considering static channels, we address the non-convex optimal power allocation problems between the source and relay nodes under individual and joint power constraints to establish closed-form solutions. An asymptotic analysis is then given to provide important insights on the derived power allocation solutions. Specifically, by using the method of dominant balance, it is demonstrated that full power …

Organic-Inorganic Graphite And Transition Metal Dichalcogenide Based Composites For 3d Printing, Jorge Alfredo Catalan Gonzalez

Open Access Theses & Dissertations

This project was multipronged to help fuse together topics of additive manufacturing and two-dimensional (2D) layered materials, and studying the mechanical and electrical properties of the composites produced. The composites are made from the thermoplastic polymer acting as a matrix and the graphite and 2D transition metal dichalcogenides (TMDs) serving as the filler or reinforcement. Different concentrations of TMD's were added to the matrix to study the effect of composition on the mechanical and electrical properties. To shed insights into the mechanical properties, test coupons were produced as "dog bone" structures for tensile testing using the ASTM D638 type 5 …

Advances In Chemical Vapor Deposition Growth Of Molybdenum Disulfide For Photodetectors And Flexible Electronics, Carlos Francisco De Anda Orea

Open Access Theses & Dissertations

The conversion of light into electrical signals is at the basis of technologies that affect our daily lives. Applications, including video imaging, optical communications, biomedical imaging, security, night-vision, gas sensing and motion detection have reached a high level of maturity due to the development of high-performance materials, large-scale production, and integration technologies. Currently conventional photodetectors made of Silicon (Si) or III-V compounds are about to reach their maximum efficiency, and every time it is harder to get a noticeable improvement in performance of sensors based on these materials, not to mention the complicated fabrication methods to achieve just a few …

Compressive Vector Reconstruction: Hypothesis For Blind Image Deconvolution, Alonso Orea Amador

Open Access Theses & Dissertations

Alternative imaging devices propose to acquire and compress images simultaneously. These devices are based on the compressive sensing (CS) theory. A reduction in the measurement required for reconstruction without a post-compression sub-system allows imaging devices to become simpler, smaller, and cheaper. In this research, we propose a new algorithm to compress and reconstruct blurred images for CS imaging devices. Blur effect in images is common due to relative motion, lens, limited aperture dimensions, lack of focus, and/or atmospheric turbulence. Our intention is to compress a blurred image with CS techniques and then reconstruct a blur-free version using the proposed algorithm. …

Automatic Patch Classification And Diffusion In Adaptive, Luis Alonso Ponce

Open Access Theses & Dissertations

Multi-Frame image restoration is a form of Super-Resolution (SR) which consists of combining multiple Low-Resolution (LR) images in order to reconstruct a single High Resolution (HR) image. In this Thesis we improved a spatially-adaptive SR scheme, based on the framework of Optimal Recovery (OR), whereby the block-by-block processing is done based on the properties of the corresponding local LR image data patches. The bandwidth parameter is adapted based on the local variance of each corresponding block from all LR images that contribute to the HR image block to be reconstructed. Also, an optimal regularization parameter needs to be chosen for …

Safety Airway For Small Unmanned Aerial Vehicles Using A Gas Particles Behavior Analogy, Pablo Rangel

Open Access Theses & Dissertations

The United States Federal Aviation Administration (FAA) implemented the Part 107 legislation to allow the flight of Unmanned Aerial Vehicles (UAV) for commercial use (i.e. package deliveries, power transmission line inspections, etc.) in the National Airspace System (NAS). As a consequence of the newly introduced rules, there is an increased risk for accidents involving injured bystanders or damaged to property. The work within this document defines a UAV to UAV safety distance model that acts as a range sensor enabled "elastic bubble". The length of the UAV safety bubble contracts and expands upon changing airway wind speed conditions. It also …

Optimization Of Neural Network Architecture For Classification Of Radar Jamming Fm Signals, Alberto Soto

Open Access Theses & Dissertations

Radar jamming signal classification is valuable when situational awareness of radar systems is sought out for timely deployment of electronic support measures. Our Thesis shows that artificial neural networks can be utilized for effective and efficient signal classification. The goal is to optimize an artificial Neural Network (NN) approach capable of distinguishing between two common radar waveforms, namely bandlimited white Gaussian jamming noise (BWGN) and the ubiquitous linearly frequency modulated (LFM) signal. This is made possible by creating a theoretical framework for NN architecture testing that leads to a high probability of detection (PD) and a low probability of false …