A Modified Kalman Filter-Based Mobile Robot Position Measurement Using An Accelerometer And Wheels Encoder, Ali Madhloom, Firas Raheem, Azad Kareem

Engineering and Technology Journal

Position measurement is an essential process of mobile robot navigation. In this research, a Kalman Filter is applied to locating a mobile robot furnisher with an encoder and accelerometer. The accelerometer updates its position off-hand. It has an acceptable short period of stability. However, this stability will be decreased over time. The odometry model is utilized to measure the mobile robot's position and heading angle using encoders equipped with the wheels of the mobile robot. Moreover, the odometry model's errors exist because of the wheel rotating speed's integrative nature and non-systematic errors. In this work, the mobile robot position estimation …

Design Of A Sliding Mode Controller For A Prosthetic Human Hand’S Finger, Hussein Majeed, Saleem Kadhim, Alaa Jaber

Engineering and Technology Journal

In this research paper, the modeling and control of a tendon-driven, instead of joint motors, the prosthetic finger that mimics the actual human index finger were deliberated. Firstly, the dynamic model of the prosthetic finger is developed based on a 3-degree of freedom (DOF) articulated robot structure and utilizing the Lagrange equation. Then, the classical sliding mode control (CSMC) strategy was implemented to control the finger motion. To overcome the cons of CSMC, such as the chattering problem, an adaptive sliding mode controller (ASMC) was developed.  MATLAB Simuphalange was used to perform the simulation after the necessary equations were derived. …

Control Of Pv Panel System Temperature Using Pid Cuckoo Search, Fadi Khaleel, Ibtisam Hasan, Mohammed Mohammed

Engineering and Technology Journal

In this study, the PV panel behavior as a nonlinear system had been studied well. The main contribution of this work was cooling the PV panel temperature to get the optimal power using a PID-CSA controller which was never employed previously in this application. In the beginning, the system has been modeled using three artificial neural network methods which are NARX, NAR and nonlinear input output based on MSE. Then, the PID controller with the intelligent cuckoo search algorithm technique had been studied to accustom PID controller parameters () based on MSE, ASE and IAE. The results exhibited that the …

Modeling And Simulation Of Telescopic Hydraulic For Elevating Purposes, Istabraq Abed Al-Hady, Farag Mohammed, Jamal Mohammed

Engineering and Technology Journal

The hydraulic cylinder is widely used in industry as the load lifting structures. A telescopic hydraulic cylinder is a special design of a cylinder with a series of gradually smaller diameter tubes overlapping each other. Three-stage telescopic cylinder performance analysis is performed with the help of the Finite Element Method. Also, MATLAB Simulink is used to create a complete design of the dynamic model of the telescopic cylinder. The analysis results of characteristic curves for telescopic cylinder position, velocity, and acceleration show the simulation model's accuracy and plausibility. This package will provide a basic reference for analyzing and designing the …

Optimization Of Design Parameters For Manufacturing A Radial Active Magnetic Bearing With 12-Poles, Mohamed Hamad, Muhannad Khalifa, Jamal Mohammed

Engineering and Technology Journal

This research aims to design an Active Magnetic Bearing (AMB) after performing an optimization process via reducing the number of poles and by reducing air gap, Dia. Yoke, and Z-length (deep of model). To increase the performance of a radial Active Magnetic Bearing (AMB), all particular equations of design based on the Genetic Algorithm method by using ANSYS Maxwell (Version 17.1) program of electro-magnetic have been studied. Manufacturing an active magnetic bearing standing for two counts, each one containing 12 poles instead of 16, led to a significant improvement in the performance. Some conclusions were obtained, including the complications in …

Blind Assistive System Based On Real Time Object Recognition Using Machine Learning, Mais Kadhim, Bushra Oleiwi

Engineering and Technology Journal

Healthy people carry out their daily lives normally, but the visually impaired and the blind face difficulties in practicing their daily activities safely because they are ignorant of the organisms surrounding them.  Smart systems come as solutions to help this segment of people in a way that enables them to practice their daily activities safely as possible.  Blind assistive system using deep learning based You Only Look Once algorithm (YOLO) and Open CV library for detecting and recognizing objects in images and video streams quickly. This work implemented using python. The results gave a satisfactory performance in detecting and recognizing …

Mitigating Uas Airspace Risks Through Policy Innovation, Christopher Daniel Sidor

Student Research Symposium (SRS)

Uncrewed Aircraft Systems (UAS), commonly known as drones, have become an everyday part of our lives. Once a technology reserved for the defense industry, UAS are now widely available and affordable in the commercial market. These systems have been used for intelligence, surveillance, and reconnaissance (ISR) missions, route mapping, and kinetic deployment of munitions. In modern warfare, drones have been at the forefront, leveraging new tactics, techniques, and procedures to enhance lethality and destruction. The integration of fiber-optic (FO) connected drones, first-person view (FPV) technology, and 3D printed munition-dropping devices in particular demonstrates a dire need for legislative intervention. These …

Full Issue

Newsletter of the Jussi Björling Societies of the USA & UK

No abstract provided.

He Sings In The Spirit Of His Father, Calle Friedner

Newsletter of the Jussi Björling Societies of the USA & UK

It’s a beautiful summer’s day. We are in Jussi Björling’s and his family’s summer paradise on Siarö in the archipelago north of Stockholm, now divided between the two siblings, Ann- Charlotte and Lars. He has built a house of his own and couple of out-buildings in the part of the site where Jussi’s singing studio is situated. Lars is happy: this day he and his wife Leila have been married for exactly seven weeks. We’ll come back to that.

The outdoor temperature is 77 degrees F, but we are sitting talking in the shadow of the trees. Lars says it …

The Caldwell Method: A Multi‑Ai, Safety‑First Framework For Real‑World, Open‑Hardware Invention, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Method is a human‑driven, AI‑augmented invention framework developed by independent inventor Michael Victor Caldwell Mr. (GCI). The method uses four to five independent artificial intelligence systems to evaluate, correct, and validate every invention concept before publication. Each AI must independently analyze physics, materials, manufacturability, safety, cost, and real‑world viability. Any flaw identified by one AI is circulated to all others through a cross‑AI correction loop until all systems converge on the same factual answer. An invention only advances when all AIs unanimously confirm feasibility and safety.

This process ensures that no half‑validated or speculative ideas are released. …

Vector Map Generation And Correction Using A Geometric Language Modeling Approach, Idan Kligvasser, Yotam Intrator, Ehud Rivlin, Regev Cohen

Defensive Publications Series

Some automated map generation systems may produce geometrically inconsistent outputs from visual data as they can lack an inherent geometric grammar. This can be addressed by reframing cartography as a structured language modeling problem. A specialized polylines language may be used to represent geographic features as discrete token sequences. A multi-modal model can be trained to autoregressively generate these sequences from inputs, such as satellite imagery, effectively translating visual data into a geometrically structured format. This process can embed geometric and topological logic into the generation, which may improve the likelihood of producing consistent map data, inferring occluded features, and …

Generative Synthesis Of Web Environments With Controllable Difficulty And Integrated Validation For Agent Training, Oriana Riva, Alice Li

Defensive Publications Series

Generative Synthesis of Web Environments with Controllable Difficulty and Integrated Validation for Agent Training

ABSTRACT

Training and evaluating computer control agents may be challenging due to limitations in the availability of large-scale, diverse, and controllable digital environments. Existing methods can have limitations related to scalability, reproducibility, and the ability to parameterize task difficulty. A described framework can utilize generative models, such as large language models, to synthesize functional, web-based environments. The framework can generate source code for an environment (e.g., HTML, CSS, JavaScript), a corresponding natural language task description, and a validation function to programmatically assess task completion. This approach …

Optimizing Known Defect Notifications Using Runtime Data, Elis Lulja, Alberto Rodriguez-Natal, Steve Williams, Yu Sun

Defensive Publications Series

Techniques described herein provide for a runtime-aware defect/advisory notification system that filters or reprioritizes alerts for a device based on whether defective/vulnerable code has executed on the device.  Instead of assuming all devices running a particular software release are equally vulnerable, the techniques rule out defects/vulnerabilities that have not occurred at the current runtime state for a device.  The techniques focus on negative confirmation in which relevant defects are identified by tracking the absence of defective code execution.

Sorted Aluminum Scrap Qualities To Replace Primary Metal In Aluminum Flat Rolled Products, Jean-Francois Despois, Wilhelm Kiefer, Gary Gallo, Silverio Colalancia, Adwait Thakur, Christian Grossmann, Maximilian Ziemsky

Defensive Publications Series

This paper reports a new approach wherein the qualifications of the recycled scrap sought for purchase is predetermined by providing target specifications to suppliers, allowing suppliers to optimize the efficiency of the end-to-end process. This efficiency will increase confidence in the market and is mutually beneficial to the suppliers and consumers of recycled materials alike. Recycled scrap with well-defined specifications is of higher quality and therefore of higher value as it can be purchased confidently and in larger volumes, for use in target products. Thus, a further goal of reducing downcycling can also be achieved.  Additionally, a new process for …

20th Annual Research In The Capitol [Program], March 9, 2026, University Of Northern Iowa. University Honors Program. Iowa State University. Honors Program. University Of Iowa. Honors Program.

Research in the Capitol Programs

Program of research presentations given at the Capitol by students from the University of Northern Iowa, Iowa State University, and the University of Iowa.

2026 March 9 - Staff Senate Agenda And Minutes, Staff Senate, East Tennessee State University

Staff Senate Agendas and Minutes

No abstract provided.

2026 March 9 - Faculty Senate Agenda And Minutes, Faculty Senate, East Tennessee State University

Faculty Senate Agendas and Minutes

No abstract provided.

Perceived Black Maternal Narcissism And Their Daughters’ Delinquency: Chronicles From A Daughter’S Interpretation, Nzinga Cates

Walden Dissertations and Doctoral Studies

This qualitative study examined the intricate dynamics between perceived Black narcissistic mothers and their daughters, particularly regarding potential delinquent behaviors exhibited by the daughters. By utilizing in-depth interviews with seven participants, I sought to uncover the psychological and relational factors contributing to these behaviors’ development. Thematic analysis indicated that daughters of narcissistic mothers often endure emotional neglect, manipulation, and lack of healthy role modeling. This can result in feelings of inadequacy and rebellion. Themes of identity confusion, low self-esteem, and desire for autonomy surfaced as significant contributors to the daughters’ engagement in delinquent activities. The study underscored the importance of …

Moderating Effects Of Leadership Style And Organizational Culture On Information Technology Involvement, Erick Dyson

Walden Dissertations and Doctoral Studies

This quantitative correlational study investigated the relationships among leadership styles, organizational culture, information technology involvement (INV), IT adoption intention (ITA), and knowledge-sharing intention (KSI) among managerial staff in educational institutions in the northeastern United States. Grounded in the technology acceptance model (TAM) and knowledge management theory, the study utilized survey responses from 141 participants in supervisory roles. Regression analyses revealed that INV significantly predicted ITA (F = 31.725, p < .001), accounting for 17.7% of the variance. However, ITA demonstrated a statistically significant but inverse relationship with KSI (F = 7.995, p < .001), indicating that greater ITA was associated with lower KSI. Hierarchical regression showed that the inclusion of leadership styles and organizational cultures improved model fit, with the final model explaining 53.3% of the variance in KSI. Charismatic, transformational, and transactional leadership styles moderated the ITA and KSI relationship, while servant and transactional leadership directly predicted KSI. Among cultural types, hierarchy and market cultures moderated the ITA and KSI relationship, while adhocracy, hierarchy, and market cultures directly predicted KSI. Seventeen significant two-factor interactions were identified, highlighting the complex interplay of leadership and culture. Reliability analyses confirmed acceptable internal consistency (α = .71 -.85), and regression diagnostics indicted no assumption violations. These findings challenge traditional TAM assumptions and emphasize the need for context-aware strategies integrating leadership and culture to enhance knowledge sharing in digitally transforming institutions.

Human Resource Management Practices’ Impact On Employee Retention, Regina Gregory

Walden Dissertations and Doctoral Studies

Some human resource managers (HRMs) in small- to medium-sized manufacturing industries lack effective strategies to retain employees. Organizational leaders are concerned that the lack of effective strategies to retain employees negatively affects organizational sustainability and profitability. Grounded in Maslow’s hierarchy of needs theory, the purpose of this qualitative pragmatic inquiry project was to explore effective strategies that seven HRMs in small- to medium-sized manufacturing industries used to retain employees for more than 5 years. The participants were seven leaders from various HRM roles within the manufacturing industry who have implemented effective employee retention strategies. Data were collected using semistructured interviews …

Cv: Jennifer Reft (Physical Therapy), Jennifer Reft

Rehabilitation Sciences Department Curricula Vitae

No abstract provided.

Estate Of Michael Tristian Paone V. Township Of Plymouth

2026 Decisions

USDC for the Eastern District of Pennsylvania

March 9 Elections, Census & Redistricting Update, Jeffrey M. Wice

Elections, Census & Redistricting Updates

No abstract provided.

Insights From Ai Tutors In Undergraduate And Graduate Engineering Courses, Billy Kihei, Sheila Hill, Sumit Chakravarty

Proceedings of the Cognitive Innovation Conference (CognoCon)

As large language models become broadly accessible, questions about how to integrate them productively into engineering education have moved from speculative to urgent. This paper presents the design rationale and early deployment experience of 247officehours.com, a faculty-created, faculty-managed platform that grounds AI tutoring in instructor-selected course materials and connects it to assessment, engagement tracking, and targeted instructional intervention. Drawing on deployment across undergraduate and graduate engineering courses, we describe six core platform features, analyze how student interactions map onto Bloom's revised taxonomy, and identify recurring patterns of productive and unproductive AI use. A tutor–tutee inversion activity, in which students must …

Candidate Generative Ai Use In Pre‐Hire Employment Assessments: Self‐Reported Incidence And The Impact Of Warnings, Chet Robie, Timothy G. Wingate, Nataliya Baytalskaya, Hilary Butera

Business Faculty Publications

The rapid rise of generative artificial intelligence (GenAI) poses new challenges for the validity and fairness of pre‐hire employment assessments. Across two applied studies using large applicant samples completing a standardized pre‐hire assessment (which includes both cognitive and non‐cognitive components), we examined the self‐reported incidence of GenAI assistance, and the impact of warning statements designed to deter such behavior. In Study 1 (N = 5675), conducted in Q3 2024, fewer than 3% of applicants reported using GenAI, though up to 19% reported using GenAI in combination with algorithmic resources (e.g., search engines). All three warning statements (consequences, educational, and reasoning) …

Crow's Nest, March 9, 2026, Crow's Nest Staff

Crow's Nest

The March 9, 2026 issue of Crow's Nest.

Time Invariant Variables In The Mundlak And Hausman-Taylor Panel Data Models, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper shows that the classic augmented Mundlak (1978) regression yields the between estimator for time-invariant variables. It is well known that the estimates of the time varying variables yield the fixed effects estimates. While the latter are consistent for this correlated random effects model, the between estimates are not. The between estimator is consistent only when the Hausman (1978) test does not reject the null based on between versus fixed effects. An alternative modified Hausman and Taylor (1981) estimator is proposed. Monte Carlo experiments are performed to compare various estimators under a correlated random effects as well as a …

Usa V. Brandyn Seabreeze

2026 Decisions

USDC for the Eastern District of Pennsylvania

Super-Resolution Remote Sensing Datasets For Application To Caral–Supe Archeological Sites Employing Sar And Dems, Jungrack Kim, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

Publicly accessible spaceborne remote sensing datasets often lack the spatial resolution required to reliably distinguish archeological features from their surrounding geomorphological contexts. In this study, we assess the potential of super-resolution (SR) products derived from multiple public-domain remote sensing datasets for a systematic archeological survey in the Caral–Supe region. We focus on Synthetic Aperture Radar (SAR) and topographic datasets—including Sentinel-1, Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR), and Digital Elevation Models (DEMs)—because of their capacity to detect subtle surface expressions and shallow subsurface structures obscured by vegetation or sediment cover. Using state-of-the-art deep learning algorithms, …

Ergonomic Trends In Endoscopic Skull-Base Surgeons: A Survey To The North American Skull Base Society, Shreya Mandloi, Alexander Duffy, Praneet Kaki, Elina Toskala, Marc Rosen, Christopher Farrell, James Evans, Gurston G. Nyquist, Mindy Rabinowitz, Md

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

OBJECTIVE: Lack of ergonomic practices in the operating room results in significant musculoskeletal strain. This study obtains a current assessment of self-reported musculoskeletal strain associated with endoscopic endonasal and open skull base surgery as reported by members of the North American Skull Base Society (NASBS).

STUDY DESIGN: Online Survey.

SETTING: Online.

METHODS: A survey assessing current symptoms in endoscopic skull base surgery was distributed to members of the NASBS.

RESULTS: Sixty-six responses were completed and analyzed. 95% of respondents indicated they had musculoskeletal strain at the neck and C-spine. There was no significant difference in average operating time per week …