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Monitoring Cavitation in a Cetrifugal Pump
Our goal is to develop a real-time cavitation detection system for centrifugal pumps that prevents damage without requiring prohibitively low pressures. We use acoustics for detection by recording the noise produced by cavitation with an Integrated Circuit Piezoelectric (ICP) microphone (130D20, PCB Piezotronics) and analyzing the frequency domain of the data. Computational Fluid Dynamics (CFD) models are created at different inlet pressures to compare empirical results and understand pressure drops in the turbine. Data is acquired using a National Instruments Data Acquisition (NI DAQ) system and Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software on a PC. We hypothesize that cavitation is signaled by a large magnitude of noise at a specific frequency.
The study uses a two-inch polyvinyl chloride (PVC) pipe that carries water from a centrifugal pump to a heat pump tank. Initially, the microphone is held by hand, but later it is fixed using a 3D-printed fixture bolted around the pipe. We collect multiple 5-second sound recordings at pressure differences ranging from 5 pounds per square inch (PSI) to 50 PSI, with the test pressure controlled via a butterfly valve and pressure gauge. The recorded data is analyzed in Matlab for deconvolution, comparing normal pressure conditions (5 PSI) to different pressure deviations.
The analysis shows that cavitation can be detected acoustically, with distinct peaks in the Fast Fourier Transforms (FFTs) of deconvolved samples at higher pressure deviations. We then develop a Matlab program that identifies cavitation by searching for repeated peaks in the deconvolved frequency domain plots. Cavitation is detected both qualitatively and quantitatively across multiple frequencies. The system successfully detects cavitation, preventing damage and serving as an educational tool
Effects of Music During Task Performance on Alpha Rhythm Patterns
Previous research indicates that music produces changes in brainwave patterns. However, the specific pattern and location of these changes are unclear. This study examines alterations in brainwave patterns within the alpha spectrum between individuals completing a memory task in a music condition or a no music condition. The Barcelona Music Reward Questionnaire was administered to 27 participants, from which 18 participants with scores indicative of a pleasurable music listening experience were selected. The 18 participants were assigned to one of the two conditions, music or no music, with the no music condition functioning as the control. All participants were connected to a multichannel EEG machine for the duration of memory task administration. Fast Fourier spectral analysis was used to identify alpha patterns. Increases in alpha power were found in the music condition when compared with the no music condition, but the pattern of changes varied according to the specific location in the brain being measured. One possible explanation for this occurrence is that the participants in the music condition found the music relaxing, accounting for the increase in alpha power within the music condition and absent from the no music condition
Comparative Analysis of Drone-Based and Traditional Surveying Methods for Detention Basin Volume
Accurate surveying of detention basins is essential for stormwater management. This study evaluates traditional surveying techniques versus the use of drones and advanced imaging technology for detention basin assessment. Conventional surveying methods rely on GPS and manual measurements, which can be time-intensive and subject to human error. In contrast, drone-based surveying utilizes high-resolution aerial imagery to rapidly collect topographic data. This study compares the accuracy and efficiency of both methods by conducting surveys of on-campus detention basins using each approach. The collected data is analyzed and assessed to determine the advantages and limitations of drone-based surveying in comparison to traditional techniques. Best practices for the use of drones in this application are also recommended
Paradox
Vulnerability exists in a dichotomy; a Paradox.
Paradox is an oil painting on canvas that involves a sculptural element through wire and beading. This piece explores vulnerability and the paradoxical nature that surrounds it. There is a certain sense of safety in not being vulnerable with the ppl around you, however it also serves as an isolating cage. I am inspired by other artists, such as artist Nick Cave, who combines mediums into whimsical , weable pieces of art. My goal is to inspire an introspection among viewers. What aspects of your life do you keep to yourself? Is this detrimental to your relationships? This piece comments on these questions
Use of Ambient Light in VAM 3D Printing
VAM (volumetric additive manufacturing) is a method of 3D printing that produces 3D geometries using projected light and resin. Using VAM produces layerless prints in minutes. Current methods only use a UV projector to produce a geometry. Our method of VAM aims to use projection methods of much lower power to produce comparable final objects. Due to the nonlinear nature of VAM resin, we attempt to use an ambient light source to reduce the power output of projection. The resin cures only in regions that pass a light dose threshold. The reaction of the resin could almost be viewed as if the light “freezes” the resin with the addition of enough light. Similarly, SLS (selective light sintering) uses just enough laser light to melt powder in the outline of an object. SLS uses a heated chamber just below the melting point. This allows the laser required to create the final object to have relatively lower power requirements than without. This same principle enables a lower power projector to be used in VAM, lowering the cost of such a device. Our experimentation required the creation of a standard VAM 3D printing setup as a baseline. This was done using modified consumer electronics to achieve 405 nm projection. An adjustable 405 nm LED light source with a custom lens is used to create evenly disturbed ambient light. Together, this allows for controllable printing conditions. Lower printing times and lower required projection intensity in printing are expected
Pest and disease detection in corn with AI
Corn production is significantly impacted by pests and diseases, leading to substantial yield losses and economic damage. Traditional detection methods are time-consuming, labor-intensive, and rely on expert knowledge. Artificial Intelligence (AI), specifically machine learning and computer vision techniques, can provide an efficient solution for pest and disease detection in corn. This study explores the use of AI models for automated detection and classification of pests and diseases affecting corn plants.
The dataset used for this research is the Corn Leaf Disease Dataset, which includes a total of 4188 images for classifying four types of corn leaf conditions: Common Rust (1306 images), Gray Leaf Spot (574 images), Blight (1146 images), and Healthy (1162 images). This dataset, derived from the PlantVillage and PlantDoc datasets, is publicly available for research and provides valuable resources for developing AI models aimed at detecting and classifying plant diseases in corn. Using this dataset, we trained AI models, particularly Convolutional Neural Networks (CNNs), to detect and classify plant health issues. Various AI algorithms were tested for accuracy and efficiency in real-time disease identification.
By integrating AI into pest and disease detection, this research could contribute to the advancement of precision agriculture, reducing the need for chemical treatments, optimizing resource utilization, and enhancing sustainable farming practices
“A Time of Fire and Cataclysm”: The Centrality of Cosmic War in Tolkien’s Round World Cosmologies
In the etiological mythology of Middle-earth, heavenly battles routinely invoke astronomical events, signs of Melkor’s marring of the world or mighty weapons in his arsenal of destruction. In this conference paper I specifically focus on battles involving the Sun and Moon, especially in Tolkien\u27s later Round Earth cosmologies, where the Sun Maiden is ravished by Melkor
Book Review: Lessons from History: Emerging and Non-Western Concepts of Leadership and Spirituality
Washing versus Shepherding: An Important Distinction
This article suggests a pragmatic, outcomes-driven approach to the ethical dilemmas faced by values-driven organizations when considering partnerships with entities that may not align with their principles. It examines the complexity of reconciling positive actions by bad actors, such as an oil giant investing in renewables or a controversial government addressing social issues. The article distinguishes between washing —reputation-laundering efforts driven by PR motives—and shepherding , where organizations support initiatives that create substantive positive outcomes despite disapproving of the initiating entity.
While acknowledging the philosophical underpinnings of these dilemmas, the article advocates for an approach that prioritizes actions that demonstrably create a positive impact, regardless of the motivations or reputation of the involved parties. This consequentialist framework simplifies decision-making by shifting focus from moral judgment to tangible benefits, fostering clarity and efficiency for organizations navigating ethical challenges in complex contexts
Trauma Therapy for Orcs: A Psychotherapeutic Consideration of Orcs in Tolkien\u27s Legendarium
The complex, violent behavior of the Orcs can be understood through the lens of modern trauma psychology, specifically Complex Post-Traumatic Stress Disorder (CPTSD) and the mechanism of Intergenerational Trauma Transmission.
CPTSD is a diagnosis often applied to individuals who have experienced prolonged, repeated, and inescapable trauma, particularly within an abusive or authoritarian environment. The foundational myth of the Orcs—that they were captured, enslaved, tortured, and physically and mentally mutated by Morgoth—perfectly aligns with a foundational, systemic trauma event.
The resulting Orcish behaviors align with the core symptom clusters of CPTSD including; emotional dysregulation,dissociation/distorted self-perception, disturbed relationships, and a lack of trust.
In this conference presentation I also explored the transmission of these via intergenerational trauma and epigenetics.
The initial, catastrophic trauma of Morgoth\u27s corruption was not an isolated event but the starting point of an unbroken cycle of violence that has persisted for thousands of years. Each subsequent generation of Orcs is born into and raised within a culture saturated by fear, abuse, and perpetual warfare. This environment ensures the re-traumatization of every new Orc, effectively making the historical trauma current for all members of the species.
The resulting culture of extreme neglect constant threat, and compulsory violence is, therefore, a massive societal trauma response. The brutality exhibited by the Orcs is a survival strategy passed down, not a conscious choice stemming from an innately wicked will.
By viewing the Orcs through this psychological lens, their redemption becomes a therapeutic challenge—healing the collective and intergenerational trauma—rather than an impossible theological decree. In the closing part of the paper I explore which psychotheraputic interventions would work with this repeatedly traumatised population