Computer Engineering Commons^™

Low Cost Additive Manufacturing Of Segmented Stator Composite Polymer Permanent Magnet Dc Motors, Ben Goldberg, Jordan Bailey, Connor Hawkins, Colin Haskins, Razvan Voicu

Symposium of Student Scholars

This study presents a novel approach to the design, manufacture, and optimization of segmented stators for composite construction axial flux permanent magnet DC motors. Traditional axial flux stator manufacturing is both challenging and expensive, creating a bottleneck in rapid prototyping and innovation. To overcome these limitations, the stator is divided into individually fabricated segments using advanced composite polymer materials and low-cost additive manufacturing techniques. This segmentation not only drastically reduces production complexity and cost but also allows for customized coil geometries that maximize the surface area for improved heat dissipation.

A key innovation of our design is the integration of …

Preparing Students For The Quantum Era: Qml Training And Applications, Triveni Kandimalla, Valentina Nino

Symposium of Student Scholars

Quantum Machine Learning (QML) emerges as a transformative approach to addressing the growing complexities of modern data processing and computational challenges. Classical machine learning (CML) techniques, while powerful, face limitations in handling vast amounts of high-dimensional data and solving complex optimization problems efficiently. Despite its potential, QML remains underrepresented in academia, highlighting the need for accessible, hands-on learning experiences and knowledgeable faculty. This project seeks to advance QML education by incorporating it into diverse curricula, creating practical learning materials, and fostering workforce readiness. Using Google Colab, an open source labware has been designed to provide interactive learning modules (M0 to …

Human-Ai Teaming For Academic Performance Analysis, Kendarius Ward, Elise Hernandez, Tom Antony, Md Abdullah Al Hafiz Khan, Kazi Aminul Islam, Abm Adnan Azmee

Symposium of Student Scholars

Educators today often work with students who are struggling academically, but limited time and resources make it difficult to uncover the root causes and provide timely assistance. Artificial intelligence (AI) is a growing, viable tool for analyzing large datasets and solving problems in different domains; however, human expertise is required to enhance the AI model’s performance. This study will utilize human-AI teaming to assess student performance based on factors such as their academic involvement, hours spent studying, and grade-point-average, among others. These findings will help instructors better grasp each student's academic needs. By incorporating humans into the AI pipeline, we …

Sustainable Smart Farming Device With Leafit Adaptive Growth Technology, Saville Atkins, Anthony Iwejuo, Julian Pitts, Luis Mercado, Rachnicha Rojjhanarittikorn, Sandip Das, Hai Ho

Symposium of Student Scholars

For farmers, gardeners, and horticulture enthusiasts worldwide, one immutable reality is that maintaining a consistent physical presence to care for plants is not always feasible. In addition, different plants have unique needs for watering, nutrients, and environmental conditions to thrive. Failing to meet these specific needs can result in poor plant health, reduced yields, and inefficient resource usage. In this research project, we have designed and developed ‘LeaFit’ – a cutting-edge Internet of Things (IoT) device that offers a sophisticated and sustainable smart farming and gardening solution. Equipped with intelligent soil moisture, ambient temperature, humidity, and light sensors, LeaFit autonomously …

A Comprehensive Analysis Of Recognition Of Hand Gestures Using Machine Learning, Shivani Shivani, Satinder Bal Gupta

Makara Journal of Technology

Hand gestures are a natural means of conveying information and thus, there is an increasing interest in utilizing gestures for communication with computers. This study focuses on systematically reviewing different machine learning algorithms while assessing their working mechanisms and accuracy. Articles were analyzed for comparing the performance of K-Nearest Neighbors (KNN), Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). In accordance with input data, intricacy of gestures, processing resources, and real-time demands, the study shows that each technique has distinct advantages and disadvantages. RNN showed the best accuracy of …

Design Of A Teleoperabletendon-Driven Robotic Hand, Zachary Giese, Joseph Gober, Samuel Grisham, Avery Mahan, Aspen White, Brayden May, Aspen White

ATU Scholars Symposium

This work presents the design, implementation, and validation of a 3D-printed tendon-driven robotic hand with a bi-directional wireless control system. The robotic hand emulates human anatomical principles, focusing on replicating flexion and extension mechanisms of the metacarpophalangeal (MCP), proximal interphalangeal (PIP), and distal interphalangeal (DIP) joints via a tendon-pulley system. Iterative prototyping resolved initial challenges in joint stiffness, tendon routing, and servo interference, culminating in a design where a single servo drives both flexion and extension for each joint using a bidirectional tendon control mechanism. A reliable bidirectional wireless communication framework, using Arduino Nano Every microcontrollers and NRF24L01 modules, enables …

Scalable Distributed Ai: Low-Cost, High-Performance Computing With Jetson Nano And Dask, Kesava Manikanta Chirumamilla

ATU Scholars Symposium

No abstract provided.

Deep Learning-Based Multi-Class Classification Of Breast Cancer Ultrasound Images Using Convolutional Neural Networks, Andres E. Dewendt Urdaneta

ATU Scholars Symposium

The National Cancer Institute forecasts 2,001,140 cancer diagnoses in 2024, with approximately 600,000 expected deaths. Breast cancer is projected to be the most prevalent, with about 310,000 cases. Early diagnosis is critical to improving outcomes, and various diagnostic technologies, including imaging, biopsies, and blood tests, play a vital role. Image testing methods include X-rays, ultrasounds, magnetic resonance imaging (MRI), and PET scans. Artificial intelligence (AI) has recently significantly improved cancer detection, improving speed, accuracy, and effectiveness. This research project uses a convolution neural network (CNN) to analyze ultrasound breast images, classifying them as benign, malignant, or normal. Our CNN model …

Empowering Mental Support Health Through Ai Chatbot, Anish Ilapaka

ATU Scholars Symposium

The growing prevalence of mental health concerns worldwide underscores the urgent need for accessible, scalable, and supportive solutions. Artificial Intelligence (AI) has emerged as a promising tool in this domain, capable of delivering immediate and empathetic interactions to complement traditional methods of mental health care. This project introduces a conversational AI system to assist individuals experiencing mental health challenges. The proposed system is built on a LLaMA model fine-tuned with a dataset of 10,000 mental health-related dialogues; the system leverages advanced natural language processing and machine learning techniques for meaningful engagement. The core functionality of this tool lies in its …

Empowering Students Through Project-Based Learning In Computer Science: Connecting Real-World Problems To Classroom Innovation, Roza Shaimurat, Faith Bogrek, Bethany Ratermann, Shruti Bhandari, Tolga Ensari

ATU Scholars Symposium

Project-Based Learning (PBL) is a powerful approach in computer science education that moves beyond technical instruction to cultivate problem-solving, adaptability, and resilience. Unlike traditional methods, PBL immerses students in real-world challenges, where failure becomes a steppingstone to success. This paper explores how PBL fosters deep learning through hands-on projects, such as robotics competitions and smart technology solutions, bridging the gap between classroom concepts and real-world innovation. Despite its unpredictability and instructional challenges, PBL ignites student engagement, instills a sense of ownership, and prepares learners for the evolving demands of the tech industry. By embracing PBL, educators not only equip students …

The Hidden Cost Of Intelligence: Environmental Impacts And The Rise Of Green Ai Solutions, Hayin Tamut

ATU Scholars Symposium

Artificial Intelligence (AI) has rapidly transformed industries and daily life, but beneath its advancements lies a growing environmental concern. This paper explores the often-overlooked ecological footprint of AI technologies, focusing on real-world data and tangible impacts. Notably, training OpenAI’s GPT-3 model alone consumed approximately 1,287 megawatt-hours (MWh) of electricity—equivalent to the annual consumption of over 120 U.S. homes—and emitted 500 metric tons of CO₂, comparable to driving 112 gasoline-powered cars for a year.

Furthermore, the environmental cost extends beyond electricity consumption. Data centers powering AI require vast amounts of water for cooling, contributing to local water shortages—highlighted …

An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Ruairí De Fréin, Yasin Emir Kutlu

Articles

Networked microgrids (NMG) are gaining popularity as an example of smartgrids (SG), where power networks are integrated with communication technologies. Communication technologies enable NMGs to be monitored and controlled via communication networks. However, ensuring that communication networks in NMGs satisfy quality of delivery (QoD) metrics such as the round trip time (RTT) of NMG control data is necessary. This paper addresses the communication network types and communication technologies used in NMGs. We present various NMG deployments to demonstrate real-life applicability in different contexts. We develop a real-time NMG testbed using real hardware such as Cisco 4331 Integrated Services Routers (ISR). …

Humanités Numériques, Langue Et Culture Synthèse, Fatima Chnane-Davin

Dirassat

The Digital Humanities: Digitalization and Artistic and Cultural Expression conference, organized from May 2 to 4, 2024 at the FLSH in Agadir, invites you to explore the vast field of digital humanities, from the challenges of digitalization to the opportunities it offers for cultural creativity, while highlighting the importance of preserving a rich heritage in the face of digital transformations.

Netflix : D’Une Digitalisation Cinématographique Vers Une Déconstruction Du 7èMe Art, Karim El Mahjoubi

Dirassat

According to a study conducted by GroupM1, 76% of French people have gone to the cinema less since the 2018 health crisis. The first reason given is "the fear of being contaminated by Covid-19". This is how the streaming platform "Netflix" saw, here, a godsend to seize this market and innovate in cinematographic digitalization. It therefore decided to rent via a monthly subscription, through a Smartphone or Smart TV application, films and series to watch "without moderation" (unlike the old video clubs). The cinema then becomes "Smart or pocket" and accessible, at a low price, for any film buff because …

Le Numérique En Administration Pédagogique Des Écoles : État Des Lieux, Impacts Et Défis. Cas De La Direction Provinciale D’Ouarzazate, Mohamed Boukhch, Abdessamad Boulkhalil

Dirassat

This article attempts to explore the subject of the digitalization of school administration. The digitization of the sector was initiated by the Minister of Education already ten years ago through the implementation of digital systems available to school administrators. We are wondering here about the probable existence of a link between the digitalization of the school administration system and student’s learning. the question we asked is: To what extent does the digitalisation put in place relate to student’s learning ?

to answer this question, we have opted for a practical exploratory approach in order to provide elements of clarification on …

Les Droits D’Auteur À L’Ère De La Révolution Numérique : Enjeux Et Perspectives, Ismail Madani Alaoui, Said Ouhamou, Mohamed Boukhch

Dirassat

This article explores the challenges and issues associated with the development of digital technologies in the context of copyright law. The authors examine significant changes in the creation, distribution, and consumption of digital content, as well as the consequences for copyright holders. Our article focuses on different approaches to copyright protection in the digital environment, such as DRM licenses and Creative Commons. It also evaluates their effectiveness in protecting creators' rights while promoting access to works. The issue of piracy and illegal sharing of digital content is also addressed, as well as the measures taken by the government and industry …

Comment La Digitalisation Affecte-T-Elle Les Interactions Sociales, Culturelles Et Économiques Au Maroc ?, Redouane El Majdouli

Dirassat

This study explores the multidimensional impact of digitalization on social, cultural, and economic interactions in Morocco. By leveraging modernization and social network theories, the analysis reveals how digital technologies transform social dynamics, facilitate innovation, and pose challenges in terms of access inequalities and privacy protection. Using a mixed- method approach combining quantitative surveys and qualitative analyses, the results show a growing adoption of digital technologies and their varied effects on Moroccan society. The proposed recommendations aim to maximize the benefits of digitalization while minimizing its risks, contributing to sustainable and inclusive development.

Impact Des Plateformes De Streaming Sur Les Métiers De La Scène, Ismail Madani Alaoui, Mourad Oumzi, Abdessamad Boulkhalil

Dirassat

This article examines the impact of streaming platforms, particularly Netflix, on performing arts professions. It explores how Netflix has transformed production practices, distribution methods, and modes of reception for artistic performances. By redefining accessibility, integrating advanced technologies, and offering alternative financing models, Netflix has created a dynamic and inclusive environment for artists and audiences. The challenges and opportunities related to these transformations are also analyzed, including the emergence of new economic models and their long- term viability for the entertainment industry. The article highlights the profound implications of these changes for artists, cultural institutions, and global audiences

L'Utilisation Des Technologies Numériques Dans Les Musées Contemporains Au Maroc : Les Défis De La Préservation Culturelle, De L'Accès Et De La Justice Dans L'Utilisation De La Réalité Virtuelle Et Augmentée, Fadma Fangach

Dirassat

This study investigates the impact of immersive technologies, particularly Virtual Reality (VR) and Augmented Reality (AR), on visitor experiences at two distinct museums: the Museum of Modern and Contemporary Art Mohamed the Sixth and the Exhibition and Museum of the Prophet’s Biography and Islamic Civilization. Employing a qualitative approach and a comparative case study methodology, the research examines the employment of VR and AR within each museum, focusing on their respective modes of projection and exhibition. While the Museum of Modern and Contemporary Art Mohamed the Sixth uses VR to establish a virtual space online, the Exhibition and Museum of …

L'Appel Du Rupestre Land : Revisiter L’Art Rupestre En Le Numérisant, Ghizlane Assif, Abdelkrim M’Hammed Oubella

Dirassat

This article attempts to explore the use of digital technology in preserving Moroccan rock art, emphasizing the significance of this art form in understanding the history and culture of our ancestors through digital tools such as 3D modeling, virtual reality, and others. This digitization effort aims to document and safeguard these cultural treasures while making them accessible to the public. The objective of the article is to examine the potential of digitizing rock art in our documentary film, "The call of the rupestre- land" We aimed to contribute to the digital conservation of heritage through audiovisual means. Indeed, this modest …

Numérisation Des Œuvres D’Art : L’Exemple Du Musée Numérique De La Micro-Folie, Meriem Benmhamed

Dirassat

Digitization refers to the creation of a digital copy of a text, image or other object. And if we make a copy of something, it's often to prevent its waste. It's a process which look like photocopying. We can digitize or scan silver photos, for example, to save them digitally or publish them online. In the art world, digitization makes it possible to save certain works of art from oblivion and deterioration. Paradoxically, it saves them, while at the same time falsifying them.

Until recently, the concept of an archive was something tangible and material, but now we're talking more …

La Mise En Visibilité Pratiquée Par/Sur Les Réseaux Socionumériques (Rsn) : Identité Numérique Et Motivations D’Usage Cas Des Jeunes Artistes En Développement D’Agadir En Art Visuel, Abderrahmane Ait Rahou, Nadia Bouaafia, Zohra Zemmit

Dirassat

The objective of this article is to present the results of a qualitative study conducted with around ten artists. The issue addressed is as follows: How are the practices of young artists affected by the visibility carried out by/on social networking sites (SNS)? We start from the premise that an artist's relationship with SNS should be viewed not as a given, but as a construct subject to the influence of factors both intrinsic and extrinsic to the artist. Theoretically, we consider that the sociology of uses provides a suitable analytical framework to frame the normativity of this digital environment alongside …

Design Et Intelligence Artificielle : Esquisse D’Une Logique De Créativité Générative Artificielle, Nada Ouerghi

Dirassat

This article questions the creative process in design compared with that of generative artificial intelligence (GAI), and attempts to define a relationship between creative and generative logic.

As a result, a resonance between the design mindset and AGI is identified, thanks to the poetics and use of the design toolbox borrowed to GAI .

Creative cogeneration reconciles human and machine. But the logic of artificial imagination led to question the future of the designer's profession and calls for a mandatory updating of the designer's profile!

Quantum Machine And Deep Learning For Medical Image Classification: A Systematic Review Of Trends, Methodologies, And Future Directions, Eman A. Radhi, Mohammed Y. Kamil, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

Quantum Learning (QL) has emerged as a promising approach to medical image classification, leveraging the principles of quantum mechanics to improve the performance and efficiency of machine learning algorithms. This systematic review provides a comprehensive critical assessment of the current status of QL techniques developed for medical image classification, with a specific focus on trends, methodologies, and future directions in this rapidly evolving field. A thorough literature search was conducted across five major databases, resulting in a total of 28 relevant studies published between 2018 and 2024. The studies were analyzed and classified based on the type of quantum algorithm, …

Different Methods To Estimate Stress-Strength Reliability Function For Modified Exponentiated Lomax Distribution, Raya Salim Al-Rassam, Khalida Ahmed Mohammed, Safwan Nathem Rashed

Iraqi Journal for Computer Science and Mathematics

When ensuring the reliability of device or the suitability of a material, it is necessary to take into consideration the stress cases in the operating environment. This means that the uncertainty about the reality environmental stress must be taken into as random. The stress-strength (S-S) model treated the stress and strength variables as random. In the simplest form of stress-strength model, y represents the stress put on the unit by the operating environment, and the strength of the unit represented by x. A unit is able to perform its required function if its stress imposed on it is less than …

A New Ridge-Type Estimator In The Zero-Inflated Bell Regression Model, Nawal Mahmood Hammood, Nadwa Khazaal Rashad, Zakariya Yahya Algamal

Iraqi Journal for Computer Science and Mathematics

Count data modeling requires usage of the Poisson regression model as a primary analytic method. Excess dispersion in variables makes the model unfit to use when the Poisson distribution mean value differs from its variance value. Data fits well with the results obtained by using the Bell regression model. Excess zeros occur frequently in the observed count data records. The Zero-Inflated Bell regression model is a substitute for the Bell regression model in this situation. The approach of maximum likelihood is mostly used to estimate the Zero-Inflated Bell regression model's parameters. When modeling the link between the response variable and …

An Improvement Finger Vein Authentication System Based On Pcanet Deep Learning And Hyper Parameter Machine Learning, Raniah Ali Mustafa, Tarek Abbes

Iraqi Journal for Computer Science and Mathematics

Finger vein authentication is a biometric technique that uses unique vein patterns within the finger to verify identity, ensuring security by scanning veins with near-infrared light to prevent counterfeiting. The reliability of this technology and its resistance to skin disorders make it highly appreciated. The motivation for using PCANet deep learning in finger vein authentication arises from the need for a more precise, secure, and effective biometric system. Conventional methods have trouble with image quality, noise, and illumination, whereas PCANet improves classification accuracy by employing principal component analysis (PCA) to extract deep features. Its lightweight structure guarantees computational efficiency while …

Liberated Arabic Handwritten Text Recognition Using Convolutional Recurrent Neural Networks, Ahmad Abdulqadir Alrababah, Mohammed Khalid Aljahdali, Abdulrahim Abdulhamid Al Jahdali, Mohammed Saleh Alghanmi, Israa Ibraheem Al_Barazanchi

Iraqi Journal for Computer Science and Mathematics

Arabic script is exhibited in a cursive style, which is a departure from the norm in many common languages, and the shapes of letters are contingent on their positions within words. The form of the first letter is influenced by the subsequent letter, middle letters are shaped by both preceding and succeeding letters, and the shape of the final letter is determined by the preceding letter. Additionally, certain letters are found to have strikingly similar shapes, making Arabic text recognition a formidable challenge in computer vision. The challenge of detecting and recognizing Arabic handwritten text is addressed in this paper …

Asymmetric Effects Of The Ebbinghaus Illusion On Relative Depth Judgments In A Perceptual Matching Task, Caden J. Thompson

Honors Theses

The Ebbinghaus illusion, also know as Titchner Circles, is a perceptual illusion that is typically presented as a two-dimensional set of disks. These disks are configured as a central disk surrounded by an annulus of smaller or larger disks. Numerous studies have found the illusion to have an effect on size perception, but fewer studies have analyzed its effects on depth judgments. This study utilized a head-worn virtual reality environment as well as a three-dimensional display to examine the effects of the Ebbinghaus illusion on relative depth judgments in a perceptual matching task. Findings indicated that Ebbinghaus configurations featuring an …

Mobile Robots And Autonomous Vehicle Control: A Comprehensive Review Of The Advancements And Challenges, Elvis Tamakloe, Benjamin Kommey, Ernest Ofosu Addo, Daniel Opoku

Makara Journal of Technology

Since their inception, mobile robots have enormously changed the landscape of robotics engineering in recent years. Imperatively, the impact of mobile robots has positively transformed many sectors of human endeavors, i.e., complemented and substituted humans in areas where human interactions were difficult, hazardous, and impossible to thrive and operate. In this regard, the contributions of mobile robots to scientific, social, and economic growth, development, and advancement cannot be overlooked, especially through its decades of transition from Industry 3.0 to 4.0 over the years. To achieve maximum benefits from the use of mobile robots across all important facets, their advancements and …