Digital Commons Network^™

Enhancing Measurement Accuracy: The Impact Of Missing Data On Parameter Estimation In Mass-Spring-Damper Systems, Michkath Omanda Bouraima, Steven Thompson, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In sensor-driven dynamic systems, missing data can severely degrade parameter estimation accuracy. This article investigates the impact of missing data on phase estimation in a mass-spring-damper system using an information-theoretic framework based on the Cramér-Rao Lower Bound (CRLB). Closed-form CRLB expressions are derived for four scenarios: complete data, missing completely at random (MCAR) deletion, MCAR-based imputation, and missing at random (MAR) missingness via a selection-weighted formulation. These bounds are used as theoretical benchmarks to evaluate classical imputation methods (last observation carried forward (LOCF), linear interpolation) and advanced approaches (Kalman filtering, Rauch-Tung-Striebel (RTS) smoothing, Bayesian inference, and transformer-based imputation) through Monte …

Rf-Attennet: A Hybrid Attention-Enhanced Network For Mixed Signal Classification In Uav Swarm Detection, Prajoy Podder, Mohammad Atikur Rahman, Maciej Zawodniok, Sanjay Madria

Electrical and Computer Engineering Faculty Research & Creative Works

The continuous increase of UAVs, particularly in swarms, creates significant challenges for security and airspace regulation. Traditional RF fingerprinting methods struggle to detect and classify UAV swarms due to overlapping signals and interference. This study introduces RF-AttenNet, a hybrid deep learning model designed to classify mixed UAV signals by analyzing composite RF spectrograms. RF-AttenNet uses dual attention mechanisms, channel and spatial attention to focus on critical spectral features, enabling the model to effectively separate and identify overlapping UAV signals. We have developed custom composite UAV datasets that simulate real-world swarm interference, incorporating both single and mixed UAV classes. RF-AttenNet achieves …

Fixed-Time Consensus Tracking For Nonlinear Multi-Agent Systems Under Aperiodically Intermittent Control, Lei Xue, Tong Wu, Wenwen Jia, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article explores the problem of fixed-time consensus tracking (FT-CT) for nonlinear multi-agent systems utilizing the a periodically intermittent control (AIC) strategy. In contrast to existing control algorithms, the proposed algorithm utilizes the AIC strategy instead of the conventional continuous-time control strategy, effectively reducing the consumption of communication resources. Moreover, the problem of intermittent FT-CT is well handled by proposing the average control rate of the AIC strategy. Two theorems based on the cases of directed and undirected graphs are proposed, respectively. Finally, the validity of these results is confirmed through numerical simulations on a general nonlinear system and a …

Effect Of Process Parameters On Thermal Response Of An Oxy-Fuel Burner/Injector Panel In An Electric Arc Furnace Via Fiber Optic Sensors, Mobashir Ahmed, Rony Kumer Saha, Koustav Dey, Todd Sander, Jie Huang, Ronald J. O'Malley

Electrical and Computer Engineering Faculty Research & Creative Works

Modern oxy-fuel burner/injectors in electric arc furnaces (EAFs) play a critical role in scrap melting, liquid steel refining, and slag foaming. However, varying operational modes, combined with dynamic process conditions, such as arcing and slag behavior, can expose the injector panel surface to intense thermal conditions that can compromise efficiency and safety. Conventional monitoring techniques, including cooling water temperature measurements and thermocouples, fail to capture localized thermal anomalies due to their limited spatial resolution and susceptibility to electromagnetic interference. In this study, four high-resolution Rayleigh backscattering-based fiber optic sensors, interrogated via optical frequency domain reflectometry, were embedded in top and …

Sapphire Optical Fiber Bragg Grating Sensors Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Sapphire fiber Bragg gratings (SFBGs) have attracted growing interest for high temperature sensing in harsh environments, yet their interrogation typically relies on optical spectrum measurements, demanding a high-resolution optical spectrum analyzer (OSA) that is bulky, expensive, and constrained in acquisition speed. Moreover, the inherently multimode nature of sapphire fiber further complicates spectrum-based demodulation, thereby limiting the achievable sensing resolution. In this paper, we propose and experimentally demonstrate a microwave-photonic interrogation approach for SFBG sensors. Instead of measuring the optical reflection spectrum, the complex frequency response in the microwave domain of an SFBG is acquired using a vector network analyzer (VNA) …

Honey-Cnt Memristive Artificial Synaptic Device For Sustainable Neuromorphic Computing System, Md Mehedi Hasan Tanim, Zoe Templin, Harshvardhan Uppaluru, Jinhui Wang, Kuan Yew Cheong, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Brain-inspired neuromorphic computing systems require hardware components analogous to biological neurons and synapses. Honey based natural organic memristor has demonstrated promising nonvolatile memristive behaviors, with the advantages of sustainability, environmentally friendliness, and low-cost manufacturing. In this study, carbon nanotubes (CNTs) are added in honey to fabricate honey-CNT memristive artificial synaptic devices. Honey-CNT film is characterized by micro-Raman spectroscopy and the distribution of CNT bundles embedded in the honey-CNT composite layer by cross-sectional scanning electron microscopy for the first time. Critical synaptic functions of the honey-CNT memristor, including spike-rate-dependent plasticity, spike voltage dependent plasticity, learn-forget-relearn, and supralinear spatial summation are revealed, …

Resolving Stiffness Trade-Offs In Simultaneous Pressure And Vibration Sensing Using A Corrugated-Tube Fiber-Optic Sensor, Yizheng Chen, Yan Tang, Jie Huang, Qi Zhang, Biyao Shi, Zewei Wu

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes and experimentally demonstrates a corrugated-tube-based fiber-optic sensor capable of measuring pressure, vibration, or both simultaneously. To address the limited sensitivity of conventional diaphragm-based designs, the sensor incorporates an optimized corrugated tube that balances the conflicting stiffness requirements for pressure and vibration measurements. The corrugated tube, acting as a mechanical transducer, is integrated with an extrinsic fiber-optic Fabry–Perot interferometer (EFPI). The EFPI cavity is formed between a reflective surface at the sealed end of the corrugated tube and the cleaved end face of an optical fiber fixed within a mounting assembly. In this configuration, displacement of the corrugated …

Nash Equilibrium Strategies For Multicluster Pursuit–Evasion Game With Disturbances: A Prescribed-Time Convergence Approach, Lei Xue, Xian Yu, Yongbao Wu, Jian Liu, Changyin Sun, D. C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article investigates the problem of prescribed-time Nash equilibrium (NE) seeking for a multicluster pursuit–evasion game (PEG) subject to external disturbances. To mitigate the impact of disturbances and reach the NE within a user-defined prescribed time, a prescribed-time disturbance observer (PTDO) is devised to estimate and compensate for them. Based on this observation, a novel control algorithm is developed, which facilitates collaboration among multiple pursuers to capture multiple evaders within the prescribed time. It is theoretically demonstrated that the designed algorithm ensures prescribed-time convergence to the NE of the multicluster PEG with disturbances. Finally, numerical simulations are conducted to verify …

Real-Time Multiregional Market-To-Market Congestion Management Through Exchange Of Relief Cost Curve, Haotian Chen, Yonghong Chen, Jose Daniel Lara, Jarrad Wright, Matthew Bossart, Sebastian De Jesus Machado, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces a novel method for multiregional market-to-market (M2M) coordinated congestion management. It identifies shortcomings in existing M2M approaches, where Regional Transmission Organizations (RTOs) exchange shadow prices and relief requests to optimize congestion relief allocations across interconnected regions. Two methods are proposed to enhance flow and price convergence. The first method proposes that both Regional Transmission Organizations (RTOs) use state-estimator flows directly to determine relief requirements, eliminating delays and potential oscillations caused by using market flows calculated from the prior period under existing M2M approach. The second method involves exchanging transmission relief cost curves, enabling each RTOs to integrate …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Corrections To: Enhancing Measurement Accuracy: The Impact Of Missing Data On Parameter Estimation In Mass-Spring-Damper Systems (Ieee Transactions On Instrumentation And Measurement (2026) 75 (1–12) Doi: 10.1109/Tim.2026.3676091), Michkath Omanda Bouraima, Steven Thompson, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In the above article [1], a wording ambiguity appears in Proposition 4 regarding the description of the missing at random (MAR) mechanism. The published sentence states that the probability of observing the kth sample depends on the realized measurement value. This wording may be interpreted as dependence on the current unobserved value y[tk], which could suggest a missing not at random (MNAR) mechanism. The intended MAR mechanism is that the observation probability for the kth sample depends only on previously observed measurement information, such as y[tk-1], and not on the current unobserved value y[tk]. Therefore, the corrected wording clarifies that …

Multi-Agent Reinforcement Learning Driven Package Pdn Design Automation, Haran Manoharan, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

The design of package-level power delivery networks (PDNs) has become increasingly challenging as modern high-performance systems demand higher currents. Existing PDN design flows treat ball map assignment, stackup selection, and power plane routing as separate, largely manual steps, leading to long iteration times and limited scalability. This work proposes a unified and automated package PDN design framework based on multi-agent reinforcement learning (MARL). Each power domain is modeled as an agent, with specialized agents responsible for ball map assignment, routing layer selection, and power plane synthesis. A central controller coordinates agent decisions using a global reward that captures electrical and …

Enhancing Explainable Ai For Medical Imaging: Improved Lime Interpretation With Influence Mapping, Abiha Tahsin Chowdhury, Dhanush Bavisetti, Daniel B. Hier, Rahul Dubey, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

The integration of artificial intelligence (AI) into medical imaging is progressing rapidly. It is essential for these AI tools to be transparent, interpretable, and explainable to gain the trust of clinicians and regulators. Current state-of-the-art explainable AI (XAI) techniques in imaging includes Local Interpretable Model-Agnostic Explanations (LIME), Shapley Additive Explanations (SHAP), and Gradient-weighted Class Activation Mapping (Grad-CAM). Recent studies have shown that LIME often suffers from inconsistency and unreliability which limits their utility in sensitive fields like medical imaging. This paper proposes Influence Map based Explanation (IME), an enhanced variant of the original LIME framework, that aggregates multiple runs to …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …

Event-Based Predefined-Time Synchronization For Complex Networks With Deception Attacks: An Asynchronously Intermittent Strategy, Lei Xue, Jiong Yu, Haoyu Zhou, Yongbao Wu, Jian Liu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article studies the practical predefined-time synchronization (PPTS) for complex networks (CNs) under deception attacks based on the asynchronously intermittent event-triggered control (AIE-TC). Notably, AIE-TC effectively integrates the advantages of asynchronously intermittent control (AIC) and event-triggered control, where AIC provides each subsystem node with independent control and rest intervals. Besides, all synchronization errors of the CNs converge to an adjustable neighborhood within the predefined time by designing a bounded time-varying function into the controller. Moreover, this article considers that the transmission network is subjected to stochastic deception attacks modeled by a Markov process, which captures the state-driven dynamic transition characteristics …

Effect Of Sample Properties On Short-Circuited Waveguide Measurements For Materials Characterization, Alexander Hook, Jared Sinkey, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Microwave materials characterization measurements can be performed using a number of well-established approaches. One such approach, the filled transmission line approach featuring a short-circuited rectangular waveguide (SC-RWG) sample holder, is known to have sample placement restrictions related to measurement viability. This work focuses on this approach and addresses the measurement restrictions within the context of sample length and dielectric properties. The complex reflection properties, S11, of a sample placed in a SC-RWG sample holder are studied to quantitively define when a sample must be offset from the SC-end. The impact of the sample holder is also studied from a measurement …

Femtosecond-Laser-Inscribed Cladding Fiber Bragg Gratings: Architectures, Design Trade-Offs And Future Sensing Opportunities, Koustav Dey, Rex E. Gerald, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Femtosecond (fs) laser inscription enables fiber Bragg gratings (FBGs) to be positioned beyond the fiber core, including within the cladding, thereby expanding control over modal interactions and directional sensing. These cladding fiber Bragg gratings (CLFBGs) extend FBG functionality through interactions with core, cladding, and evanescent fields. Their operation does not involve fundamentally different grating physics; rather, core-mode, cladding-mode, and coupled-mode responses depend on power distribution, modal overlap with the laser-inscribed refractive-index modulation (RIM), grating position, fiber geometry, modal excitation, and interrogation configuration. This Perspective reviews advances in CLFBG fabrication, optical characteristics, sensing mechanisms, and applications. Cladding-waveguide-assisted, evanescent-field-coupled, and direct cladding-mode-excitation …

From Measuring Clicks To Inclusion: Coverage Of Digital Adolescent Sexual And Reproductive Health Programs, Miriam Temin, Christabel Gero

Adolescents and Young People

Digital platforms have become popular tools to address adolescents’ sexual and reproductive health and rights (ASRHR) in low- and middle-income countries. Digital programming has the potential to bridge the SRHR information gap, especially for adolescents who face SRHR risks. Given what is known about the digital divide, it is essential to understand who digital ASRHR programming reaches, who is excluded, and how coverage aligns with risk. This brief summarizes an exploration that aims to stimulate interest and seed research on issues of coverage of digital programming for adolescents and its public health importance.

It’S All One Curriculum: Guidelines And Activities For A Unified Approach To Sexuality, Gender, Hiv, And Human Rights Education 2nd Edition, Heidy Araque, Nicole Haberland

Adolescents and Young People

The second edition is forthcoming

Rise, Lead, Thrive: A Young Feminist's Path To Leadership, Population Council Kenya, Nawiri Project

Adolescents and Young People

Information Education and Communication graphic created for the Young Feminist Organizing (YFO) project.

Excavating Miranda, Samuel J. Levine

Scholarly Works

Sixty years after it was decided, Miranda v. Arizona remains one of the most significant and renowned cases—as well as, arguably, one of the most controversial cases—in the history of the United States. Chief Justice Earl Warren’s majority opinion, establishing the eponymous Miranda warnings for custodial interrogation of criminal suspects, has prompted voluminous and continuing commentary, among both critics and supporters. This Article is part of an ongoing project exploring a particular aspect of Chief Justice Warren’s majority opinion: a footnote referencing Jewish legal sources, documenting an important passage at the start of a pivotal section of the opinion.

Building …

“Discovered!”: Plaintiff’S Brief To The United States Supreme Court In Johnson & Graham’S Lessee V. M‘Intosh (1823), Mark Savage

American Indian Law Review

No abstract provided.

A First Amendment Right To Know, David S. Ardia

Faculty Publications

This Article tackles an increasingly important question: Can police round up people on American streets and keep secret the names of those they detain without violating the First Amendment? Alarmingly, the government made this very argument in the summer of 2020 when it sought to break up Black Lives Matter protests occurring in cities across the country. Based in part on a Supreme Court decision from the 1970s involving access to prisons, the government argued that the First Amendment imposes no constraints on government secrecy. If it is true that the government can shield its exercise of police power from …

Limits On Damages For Breach Of A Forum Selection Clause, John F. Coyle, Tanya Monestier

Faculty Publications

When a plaintiff sues in a court other than the one designated in a forum selection clause, the defendant’s remedial options are limited. It can ask the court to dismiss the case outright. Or it can ask the court to transfer the case to the designated forum. The defendant typically cannot, however, recover money damages—in the form of attorneys’ fees and related expenses—that it incurs in the course of persuading the court that transfer or dismissal is appropriate. This is because the conventional wisdom among judges has long been that damages are not available for breach of a forum selection …

Dental Treatment And Oral Care For Patients With Severe Mental Illness Receiving Psychiatric Home-Visit Care: A Narrative Review With An Illustrative Case, Takayuki Suga, Trang Thi Huyen Tu, Yuji Gamo, Takafumi Asakura, Shigeru Iida, Akira Toyofuku

Journal of Dental Sciences

Patients with severe mental illness (SMI) often have untreated caries, periodontal inflammation, tooth loss, xerostomia-related risk, dental anxiety, and delayed dental attendance. This narrative review aimed to synthesize evidence relevant to dental treatment planning for patients with SMI receiving psychiatric home-visit care and to clarify when domiciliary dental assessment and repeated professional oral care may be indicated. Targeted literature searches and citation tracking were used to identify reviews, epidemiological studies, intervention studies, qualitative syntheses, and special care dentistry guidance. The evidence indicates that oral disease in SMI reflects not only limited knowledge but also avolition, cognitive impairment, psychosis, sedation, medication-induced …

Efficacy Of Cryotherapy For Oral Leukoplakia: A Systematic Review, Chuan-Hang Yu, Tzu-Chen Chan, Chun-Pin Chiang

Journal of Dental Sciences

Oral leukoplakia (OL) is the most common oral potentially malignant disorder and carries a risk of malignant transformation. Cryotherapy is a minimally invasive treatment option for OL, but its efficacy and optimal dose-response remain inconsistent among various studies. This systematic review evaluated the clinical efficacy and safety of cryotherapy for OL lesions and explored whether the characteristics of the lesions and treatment parameters influenced clinical outcomes. Electronic searches were performed in Embase, PubMed, and the Cochrane Central Register of Controlled Trials according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Seven studies reporting original clinical outcomes of …

The Leeuwenhoek Paradox In Dental Artificial Intelligence: A Narrative Review Of Artificial Intelligence-Detected Subclinical Periapical Changes And Human-Labeled False Positives, Etyene Schnurr, Mario Parra, David M. Kim

Journal of Dental Sciences

This narrative review explores the “Leeuwenhoek Paradox,” a metaphorical and conceptual challenge that arises when artificial intelligence (AI) detects subtle periapical radiological changes that are not visible to human observers. Drawing on evidence from studies using two-dimensional and cone-beam computed tomography (CBCT) imaging, this review critically examined the limitations of human-centered reference standards and recurrent discrepancies in AI-based periapical detection. The literature shows that AI systems frequently detect more periapical alterations than human experts. These findings may reflect early bone changes, as indicated by CBCT-based analyses of bone density and longitudinal observations. The paradox arises because AI identifies subclinical radiographic …

Evaluation Of Condylar Position Displacement Using Various Centric Relation Recording Techniques Based On Maximum Intercuspation Position: A Systematic Review And Meta-Analysis, Ling-Shiuan Huang, Yen-Chang Huang, I-Ting Wu, Shinn-Jyh Ding

Journal of Dental Sciences

Background/ purpose: Restoring tooth defects is a key clinical task for dentists, aimed at either maintaining or reconstructing a functional occlusal dentition. This study conducted a systematic review and meta-analysis of clinical trials comparing centric relation (CR) and maximum intercuspal position (MIP) condylar positions obtained using various CR techniques, and to verify the reproducibility of these methods.

Materials and methods: The PubMed, Embase, Google Scholar, and Cochrane Library databases were searched for articles published before January 2026. The single-arm meta-analysis used a random-effects model to calculate the overall effect size.

Results: This study included 12 articles published …

Oral Pathogens Reprogram Endothelial Barrier And Angiotensin-Converting Enzyme2/Endothelial Nitric Oxide Synthase-Nitric Oxide Signaling To Promote Blood Pressure Dysregulation, Ming-Shou Hsieh, Tung-Nien Hsu, Chin-Sheng Huang, Ting-Yi Renn, Kuang-Tai Kuo, Kuo-Yao Lin, Wei Jen Chang

Journal of Dental Sciences

Background/purpose: Although periodontal disease is associated with an increased risk of hypertension, the endothelial mechanisms linking oral inflammation to vascular dysfunction remain unclear. We investigated whether Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) can directly disturb endothelial homeostasis and whether macrophage–endothelial crosstalk further worsens endothelial injury.

Materials and methods: Human umbilical vein endothelial cells (HUVECs) were exposed to Pg-LPS alone or co-cultured (transwell system) with Pg-LPS-primed human monocytic cells -derived macrophages. Endothelial dysfunction was assessed through nitric oxide (NO) production, endothelial nitric oxide synthase (eNOS) phosphorylation, inflammatory and adhesion molecule expression, as well as junctional and cytoskeletal changes. Macrophage …

Cephalometric And Soft Tissue Determinants Of Esthetic Outcomes After Single-Jaw Mandibular Setback Surgery In Skeletal Class Iii Patients: A Retrospective Study, Chun-Te Ho, You-Ru Chen, Tsui-Hsien Huang, Jnug-Chun Yeh, Tzu-Yu Peng, Chia-Tze Kao

Journal of Dental Sciences

Background/purpose: Orthognathic surgery is an effective treatment for skeletal Class III malocclusion; however, the relative influence of skeletal and soft tissue variables on postoperative esthetic outcomes remains unclear. This study aimed to evaluate the relationships among cephalometric parameters, soft tissue changes, and esthetic outcomes following single-jaw mandibular setback surgery.

Materials and methods: A retrospective study was performed on 258 adult patients with skeletal Class III malocclusion subspinale-nasion-supramentale (ANB) angle < 0° who were treated between 2016 and 2021. Patients were divided into three groups: bilateral vertical ramus osteotomy (BVRO) group (n = 99), genioplasty alone group (n = 30), and BVRO plus genioplasty group. (n = 129). Cephalometric and …