and vibration analysis have also been carried out to evaluate theflying cars are promising future transportation systems. They dynamic characteristics [11].can erase traffic congestion by providing on-demand, point-to-point transportation with reduced/zero-emission [1]. Driven by This project aims to design and develop a Jetson One stylethe recent advancements in batteries, motors, and power personal eVTOL aircraft. This paper focuses on the design of aelectronics, and flight control technologies, hundreds of new lightweight frame that is strong and safe for flight. The creationeVTOL projects are in the development stage by many
opportunities structures in vast datasets as in [1] and continuouslyacross multiple domains, including education, it also raises improving through fine-tuning and prompting.ethical concerns around issues such as copyright,misinformation, and bias. This paper explores the potential of Generative AI operates in three phases:generative AI to revolutionize teaching and learning, with a focuson its impact on student outcomes. Through an examination of • Training, to create a foundation model that can serveselective platforms such as ChatGPT, Character AI, Gemini, and as the basis of multiple gen AI applications.Deep Seek, this paper aims to introduce students to thefundamentals of building AI-powered applications
. Many AI-powered educational tools require soft skills that employers seek. As AI continues to shapesubstantial computing power, subscription fees, or institutional the future of work, its strategic integration into engineeringsupport, which may create barriers for students from under- curricula will be a crucial step in preparing students for theprivileged backgrounds. Institutions must consider providing demands of an AI-enhanced workforce.subsidized access to AI platforms or integrating open-sourcealternatives to ensure inclusivity in AI-driven education[8]. R EFERENCES Another major consideration is ethical concerns, particularly [1] A. Alberola, E. del Val, V. Sanchez
-icant results and analysis, followed by the conclusion and futureattention in recent years due to its ability to work in Section 6.capture detailed spectral information across numerous narrowand contiguous spectral bands. This characteristic allows for II. R ELATED W ORKSmore precise identification and differentiation, making HSIa valuable tool in various fields such as bio-medical [1], The field of HSI classification has seen significant ad-agriculture [2], mineral exploration [3], and environmental vancements through various machine learning models aimedmonitoring [4]. However, the high dimensionality and large at
hijack user sessions leading adversarial testing are used. These techniques aim to min-to unauthorized use and data leakages [1]. Common attack imize false positives and enhance the accuracy of vulnera-vectors are session hijacking, where a malicious attacker bility identification [6]. Effective testing frameworks, modelsteals or sniffs away a user’s session cookie in order to gain decision-making transparency, and continuous monitoring forunauthorized access, and session fixation, where an attacker identifying any possible drifts or degradations in performancemaps a user’s session ID to one they know in order to allow are involved in valid evaluation of LLMs. Rigorous cross-them to
decision-makers tools to leverage data for strategic planning, I. I NTRODUCTION and optimum resource utilization, providing the universities International student enrollment in the United States has and the policymakers with intelligence they need to predictsteadily increased since 1948, but COVID-19 travel & student future trends and make educated decisions.visa restrictions caused a slight dip. The data shows thatenrollment began recovering in the 2022/2023 academic year II. L ITERATURE R EVIEWand continues to rise [1]. Predicting accurately these trends According to recent estimates
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Unlock the Mystery: Puzzle Box Marlon Jost1,3, Umme Hani Bootwala1,2, Don Heiman1 and Haridas Kumuraku1 1 Department of Physics, 2Department of Chemical Engineering, 3Khoury College of Computer Science Northeastern University Boston, MA 02115 USA Abstract—This project develops an interactive are needed to power the chip, while the other legs are set to be anpuzzle box with an electronic locking mechanism to engage input or output
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Learning Through Logic: An Educational Digital Guessing Game with LED FeedbackSteven Bercik1, Mehmet Furkan Baylan1, Ansa Brew-Smith1, Don Heiman1, Bala Maheswaran2, Haridas Kumarakuru1 1 Department of Physics, 2Department of Electrical and Computer Engineering Northeastern University, Boston, MA 02115 USA Abstract—This project introduces a digital guessing game, engaging, and fun, fostering an overall deeper understandingwhere player-1, the guesser, attempts to deduce a correct and appreciation of
essential for providing long-term power inserviced, they need to be able to withstand the stressors caused space missions, particularly on planets with limited solarby the launch, docking, travel, and landing sequences of the energy, such as Mars [1]. As critical power systems, thesespacecraft that they are being transported on. It is also units must withstand various impact forces during launch,extremely important to remember that MMRTGs house landing, and operation on extraterrestrial terrains. Theradioactive materials; therefore, their resilience is crucial notonly to the success of the space mission, but also to the safety of MMRTG faces the
Fairfield, CT Fairfield, CT riescok@sacredheart.edu ukaway@sacredheart.edu alfrehb@sacredheart.edu abdelfattahe@sacredheart.edu Abstract—Autism Spectrum Disorder (ASD) is a Answering this question will provide a more comprehensiveneurodevelopmental condition that presents diagnostic and accurate approach to diagnosis.challenges. This study examines a dataset that includesdemographic, medical, and familial variables, in addition to This study involves data [1] from 292 participants,responses to the 10-item Autism Spectrum Questionnaire for incorporating both demographic and behavioral information.Children aged 4-11 years old (AQ-10
centers as shown in Fig. 1, chilledComputational fluid analysis (CFD) was used to predict the flow air from the computer room air conditioning (CRAC) units ischaracteristics in a data center for 12 designs. The CFD simulation blown into the underfloor plenum, which then enters the roomresults were further used to assess the data center performance through the perforated floor tiles. After taking away the heatand energy consumption metrics, such as rack cooling index generated by rack servers, the air leaves the room through(RCI), index of mixing (IOM), beta index (β), and energy ceiling plenum and returns to the CRAC to be chilled [5].utilization
@my.bridgeport.edu dtenney@bridgeport.edu I. INTRODUCTION Abstract—Electric vehicle (EV) adoption is essential for Electric vehicles (EV) adoption plays a crucial role in theadvancing sustainable transportation, yet understanding how global transition toward sustainable [1] . EVs are essential inconsumer behavior shapes adoption outcomes remain a complex reducing greenhouse gas emissions, decreasing reliance onchallenge. Consumer EV adoption rates have not met vehicle fossil fuels, and combating climate change [2
clinical simulation is a fundamental aspect types of immersive clinical training experiences at a lowerof undergraduate nursing training. It allows for student nurses to cost than traditional Sim-Labs (Fig. 1.)experience close to real scenarios in a controlled environment.However, clinical simulation spaces require a large investment tobuild and maintain, making it inaccessible in lower resourceinstitutions. Virtual reality in nursing education has seenincreased implementation in curriculum within the last decade.The purpose of this scoping review is to examine the currentliterature surrounding virtual reality head-mounted displays innurse training. Of 31 articles examined, current implementationsof virtual reality primarily focus on
of wildfire hotspots [14].societal challenge, with their frequency and intensity • AI-Driven Classification: The use of CNNs allows forescalating due to climate change and human activities [1]. the automatic extraction of spatial features from satelliteThese uncontrolled fires cause devastating impacts, including and drone images, improving the accuracy of wildfirethe destruction of vast ecosystems, loss of biodiversity, air detection compared to manual or
device production, pharmaceuticals,concentration is the handheld light scattering airborne particlecounter (LSAPC). These devices use light scattering techniques and food packaging [1]. Thus, these operations areto count and size particles while they are still airborne, performed in cleanrooms. Cleanrooms are areas designed toallowing improved throughput over static analysis techniques. filter out and regulate environmental variables, such asThese instruments tend to be expensive and are not capable of airborne particulate matter (PM), humidity, and temperature.measuring other physical properties of the particles, such as They accomplish this
to its three outputs. The input vector is denoted as I (A, B, C),potential to minimize power consumption and enhance while the output vector is represented as O (P, Q, R). Thecomputational efficiency. Numerous studies have examined relationship between the inputs and outputs follows specificthe role of reversible logic gates in the development of logical operations: P = A, Q = A ⊕ B (XOR operation), andenergy-efficient sequential circuits, leading to remarkable R = (A ⋅ B) ⊕ C (AND followed by XOR). Since the Peresprogress in digital circuit design. gate is reversible, it preserves information, making it highly In [1
for energy-constrained applications [1], [2]. Traditional full addersdesign achieves improved power efficiency and reduced are typically implemented using Complementary Metal-Oxide-delays compared to conventional gate-based adders. Semiconductor (CMOS) logic, pass transistor logic (PTL), andMultiplexers offer superior area efficiency, reduced transistor transmission gates. In Ripple Carry Adders (RCAs), the sequentialcount, and simplified logic implementation, making them nature of carry propagation results in significant delays, making themideal for low-power and high-performance applications in unsuitable for high-speed applications [3]. Additionally, dynamicVLSI systems
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Wildfire Detection Using Vision Transformer with the Wildfire Dataset Gowtham Raj Vuppari[1], Navarun Gupta[2], Ahmed El-Sayed[2], Xingguo Xiong[2] [1] Department of Computer Science and Engineering, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604, USA. [2] Department of Electrical and Computer Engineering, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604
octocopter’s design, assembly, and tuning process aredetailed, incorporating advanced PID optimization and filteringstrategies. Experimental flight tests validate the system’sefficiency in maintaining stability, responding to obstacles, andexecuting waypoint navigation with high precision. The resultsdemonstrate the feasibility of multi-sensor fusion in enhancingUAV autonomy, reliability, and safety for heavy-lift applications. Keywords— UAV, heavy-lift drones, multi-sensor fusion,INAV, obstacle avoidance, flight control, PID tuning I. INTRODUCTION (Heading 1) UAVs have become essential tools in various industries, Figure 1: X8 octocopter named "Buck X"including aerial surveying, logistics, disaster response
The virtual queue system requires reliable internetsubstantial visitor dissatisfaction, as lengthy wait times and connectivity, which may not always be available in certaininaccurate estimates of queue duration contribute to areas. Additionally, these systems may struggle to maintainfrustration. Additionally, queue violations such as line-cutting fairness if visitors are not present when their turn arrives or ifundermine the perceived fairness of the system. they manipulate the system by joining multiple queues simultaneously [1, 7]. A fourth method that is suitable, GPS- Traditional queue management solutions, including
BARTtraining data lacks depth in a particular domain, it may struggle variant specifically optimized for news summarization. It isto generate relevant responses (1). Similarly, a study from the designed to generate concise and coherent summaries whileMIT Media Lab emphasizes that the opacity of training datasets retaining key information from the input text. And Thiscan affect an AI model (2). A review in Cognitive Computation model is widely used for applications requiring automaticdiscusses how the effectiveness of LLMs is directly tied to the text summarization.quality and scope of their training data, which can lead tolimitations when addressing domain-specific queries (3). These III. METHODOLOGICAL
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Aligning University Education with Industry Needs Through Cross-Functional Teamwork Bushra Rayyan Qadri1, Arthur McAdams1,2, Peter Cavanaugh1,2, Dan Tenney1,2, Ali Baker2 1 School of Engineering and Technology 2 Ernest C. Trefz School of Business University of Bridgeport Bridgeport
traditional braille printers 5. Arduino and control board (Fig 6, visible with motors andare often out of reach. Furthermore, the technology could be solenoid connected in Fig 5)adapted for use in diverse cultural and economic contexts, 5.1. Arduino code: receives G-code from computer,helping to bridge the accessibility gap faced by visually actuates motorsimpaired individuals across the world, in both education and 5.2. 2x DRV2285: allows Arduino to control high-communication. current stepper motors. Utilizes 1/16 micro stepping
gas (GHG) emissions, educational institutions, and private sector entities.accounting for approximately 29% of total emissions in theU.S. [1]. The U.S. government has introduced policies and This paper contributes to the ongoing discussion on EVfunding programs to accelerate EV adoption, including the workforce development by outlining effective policies andBipartisan Infrastructure Law (BIL), which allocates $7.5 training strategies that align with federal and state-levelbillion to support EV charging infrastructure development and objectives. By identifying thematic patterns from stakeholderworkforce training [2]. The National Electric Vehicle interviews, the study
Keywords—Total Ankle Arthroplasty (TAA), Hintegra Ankle lower leg. The tibia, fibula, and talus bones make up theProsthesis, Finite Element Analysis (FEA), Computer-Aided joint. [4]. Fig:1 [4]Design (CAD), Biomechanical Performance, Structural Integrity,Ankle Joint Replacement I. INTRODUCTIONThe human ankle joint is critical for walking, running, andbalance because it allows for movements like dorsiflexion andplantarflexion, which are necessary for weight-bearing,mobility, and stability.[8] But it is vulnerable to problems likedegenerative diseases, overuse, and trauma. Among these,arthritis is a prevalent and crippling ailment that causes pain,stiffness, and decreased movement, especially
) and hasinnovation, and enhancing research [1]. Promoting women's implemented policies, programs, and educational efforts toinvolvement in economic growth has become a priority in support women entrepreneurs. NSPs promote social justice,national development programs [2]. Technology management economic security, education, and balanced services [15]. A(TM) empowers women by integrating innovation and dedicated national center for women entrepreneurs wasexcellence, enabling them to acquire digital skills and address proposed under Vision 2030 to provide training, feasibilityregional concerns [3]. studies, and investment guidance. Saudi women have
learn about computer during my 10th-grade year. The journey of starting andprogramming and the impact of artificial intelligence (AI). When expanding the club was both challenging and rewarding,I started the Computer Programming and AI Club at Boston providing valuable lessons in leadership, organization, andCollege High School in 10th grade, we only had three members. engagement [1].By using a mixture of creative marketing, fun activities, andteamwork, I helped grow our club to 16 members the following When I first started the club, participation was low, with onlyyear, peaking at 43 people signing up during the school’s club fair. three members attending meetings. Lack of knowledge
Sashank_Narain@uml.edu Kelilah_Wolkowicz@uml.edu Abstract— This work focuses on the “Tic-Tac-Toe AI Game”, and enhance student engagement [1]. Studies have shown thata key exhibit at a recent educational technology exhibition, AI-driven educational environments increase studentdesigned as an interactive introduction to the capabilities and motivation and improve retention rates compared to traditionalapplications of artificial intelligence (AI) and machine learning instruction methods [2]. However, traditional AI education still(ML) systems. The interactive game engaged K-8 students in largely depends on abstract theories, text-heavy explanations,strategic gameplay, helping them develop a
data collected by the footedness in adulthood is associated with a greater BMI,sensors is transmitted to a mobile application through a larger foot size, and a higher comorbidity index [7]. PeopleBluetooth-enabled Arduino Nano 33 BLE board. The app displays with flat feet are also more likely to develop shin splintsthe results in real-time via graphs and notifications, enhancing theuser experience by providing feedback on pressure imbalances in and other overuse injuries from activity [1]. Thethe user’s foot. This data is valuable for individuals with flat feet, combination of lack of access to care and the health impactshigh
of these have two subfolders designated NORMAL andtrained on stanford “CheXpert Plus” dataset. His heart ismonitored through a structural causal framework, forecasting PNEUMONIA. The goal for the generation of this dataset wasthe absence of certain values. The future projects will use to train a convolutional neural network using this dataset toVariational Autoencoders (VAEs) to recollect the missed identify pneumonia. An instance of the dataset material ispieces of information, in addition to bettering the overall shown below.reliability. Fig. 4. Dataset Snapshot Fig. 1. Deep