Empirical Research Of A Greenhouse Monitoring And Controlling System Using Zigbee Protocol,
2025
Professor, Department of Computer & Automatic Control, Faculty of Mechanical & Electrical Engineering, Lattakia University
Empirical Research Of A Greenhouse Monitoring And Controlling System Using Zigbee Protocol, Mohammed Hijazeh, Salah Hagahmoodi
Al-Esraa University College Journal for Engineering Sciences
Greenhouses are of great importance in the agricultural field as they provide the appropriate and important environment for the growth and production of various plants regardless of the surrounding environmental conditions. Monitoring and controlling these houses are considered necessary and important in order to provide the required environment and obtain the best production. Therefore, the aim of this project is to study the monitoring and control of these houses using wireless sensor networks, which are considered modern and simple methods due to the accuracy of work and little effort they provide, and thus better production. The study will be for …
Designing An Efficient Deduplication Algorithm For Audio Files In Cloud Storage,
2025
Al-Esraa University – Baghdad – Iraq AND Homs University – Homs - Syria
Designing An Efficient Deduplication Algorithm For Audio Files In Cloud Storage, Ammar Zakzouk, Alaa Al Sebae, Hasan Hasan
Al-Esraa University College Journal for Engineering Sciences
Data duplication is a significant challenge in large-scale data storage systems, as it consumes storage space and impacts data organization, management, and processing. An optimal storage system effectively utilizes available storage space. To solve this problem, hash algorithms are employed to generate hash keys for files. Matching files have the same hash key. However, the hash key for two different files in the data may match, and this is what we refer to as a collision. The collision issue is related to the length of the hash key. As the length of the hash key increases, the probability of a …
The Future Of Al-Driven Cybersecurity For Advanced Iot,
2025
Information Technology Center, University of Kerbala, Kerbala / Iraq
The Future Of Al-Driven Cybersecurity For Advanced Iot, Estqlal Hammad Dhahi, Sanaa Hammad Dhahi, Ohood Fadil Alwan
Al-Esraa University College Journal for Engineering Sciences
Internet of Things technologies experience rapid advancement because of 5G networks and upcoming 6G technologies, which resulted in transformational changes to security dynamics. This study examines the functionality of artificial intelligence through platforms developed to secure Internet of Things systems. The demand for improved security capabilities has become essential because IoT devices generate new assault channels, and their market penetration speed is escalating. Machine learning algorithms, together with deep learning and natural language processing methods, are investigated in this paper for enhancing the security protocols of IoT systems through studies found in academic literature. The paper explores upcoming developments and …
Foundations Of Artificial Intelligence In Healthcare Diagnostics: A Systematic Survey,
2025
Faculty of Engineering, Altinbas university, Istanbul, 34676, Turkey
Foundations Of Artificial Intelligence In Healthcare Diagnostics: A Systematic Survey, Raghad Tariq Al-Hassani
Al-Esraa University College Journal for Engineering Sciences
Artificial Intelligence (AI) is becoming the cornerstone of the future of healthcare diagnostics, that has to ability to change the healthcare diagnostic landscape in terms of diagnostic accuracy, speed, and availability. This systematic review investigates the basic methods, tools, applications, and challenges involved in the integration of AI in diagnostic medicine. It emphasizes the using of machine learning models, deep learning networks (e.g., CNNs), NLP for clinical documentation, and smart computing infrastructures, such as edge device and IoMT. They are making possible real-time, data-driven decision making that is already at human-expert-level performance or, in some cases, even better (in the …
Secure Gif Files Based On Zuc Stream Cipher And Present Algorithm,
2025
Ministry of Education / Al-Rusafa 1, Baghdad / Iraq
Secure Gif Files Based On Zuc Stream Cipher And Present Algorithm, Suhad Fakhri Hussein
Al-Esraa University College Journal for Engineering Sciences
Some important security needs include authentication, confidentiality, integrity, non-repudiation, and user privacy. Many security systems include these required protections for information transmission. The encryption process is one of the most important security measures. Many secure encryption algorithms are based on different keys and key lengths to ensure a high degree of security. GIF file format is common file format that is used in several application, securing these files through transmission is imperative. In this paper, an efficient method for encryption GIF file is proposed based on using modified present algorithm, modified ZUC stream cipher, and an efficient method for key …
Advanced Strategies And Solutions Towards More Secure And Effective Two-Factor Authentication In Networking,
2025
College of Computer Science and Information Technology, Karbala University, Karbala, Iraq
Advanced Strategies And Solutions Towards More Secure And Effective Two-Factor Authentication In Networking, Zahraa Sameer Jawad
Al-Esraa University College Journal for Engineering Sciences
With the rapid increase in cybersecurity threats targeting network systems, traditional two-factor authentication (2FA) methods are insufficient to address advanced attacks. Vulnerabilities such as phishing, SIM-swapping, and social engineering exploit the limitations of SMS-based and email-based 2FA. This paper examines advanced strategies and solutions for securing networked environments through robust 2FA mechanisms, focusing on approaches like elliptic curve cryptography (ECC), digital certificates, and biometric verification. This article offers a comparative review of various strategies about their effectiveness in enhancing security, while also highlighting their capacity to optimize user-friendliness and adaptability to emerging threats. Research findings promote an effective countermeasure strategy …
Advancements In Ultrasound Technology And Iot Security: A Physics-Based Approach To Enhanced Imaging With Lightweight Encryption Algorithms,
2025
Department of Medical Physics, College of Applied Sciences, University of Fallujah, Fallujah, Iraq
Advancements In Ultrasound Technology And Iot Security: A Physics-Based Approach To Enhanced Imaging With Lightweight Encryption Algorithms, Noor Fawzi Shafiq
Al-Esraa University College Journal for Engineering Sciences
The rapid advancements in ultrasound technology, coupled with the growing significance of IoT security, present a unique opportunity to enhance imaging systems while ensuring data integrity. This study explores the integration of physics-based principles in ultrasound imaging, focusing on how lightweight encryption algorithms can secure data transmitted from IoT devices.Ultrasound technology has evolved significantly, benefiting from improved imaging techniques and the incorporation of IoT devices. As these devices proliferate across various applications, including healthcare and industrial monitoring, the need for secure data transmission becomes paramount. This paper proposes a framework that combines advanced ultrasound imaging with robust lightweight encryption methods …
Artificial Intelligence Approaches To Mitigating Network Congestion In Iot Systems,
2025
Department of Computer and Electrical Engineering, College of Engineering,University of Tabriz, Iran
Artificial Intelligence Approaches To Mitigating Network Congestion In Iot Systems, Aysar Hadi Oleiwi
Al-Esraa University College Journal for Engineering Sciences
The unprecedented explosion of Internet of Things (IOT) devices has elevated the requirements of the network infrastructures to unprecedented levels, causing severe congestion problems, especially in applications which demand low latency, high throughput, and real-time feedback. Static routing protocols, AQM, and TCP variants are some of the traditional mechanisms for congestion control that are unable to perform efficiently in dynamic and diverse IoT environments as they are reactive-based and inflexible. To this end, in this paper, we explore the promising ability of Artificial Intelligence (AI) methods such as Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), and their combination …
Groundwater Quality Analyses For Irrigation Purposes In Salah Al-Din, Iraq: A Review,
2025
B.Sc. Environmental Engineering, Department of Environmental Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq
Groundwater Quality Analyses For Irrigation Purposes In Salah Al-Din, Iraq: A Review, Noor A. Radhi, Dawood E. Sachit, Abdul-Sahib T. Al-Madhhachi
Al-Esraa University College Journal for Engineering Sciences
The focus of this study is the effect of the physical and chemical characteristics of groundwaters on plants and agricultural crops, following the last studies on this matter. The results underscore the necessity for groundwater treatment before its utilization in irrigation for sustainable agricultural farming. It is also possible to identify which crop type can be grown in well-watered land, according to the characteristics of irrigation water and the yield of each crop. The study also introduces some ideas about irrigation water quality parameters such as Electrical conductivity (EC), Total Dissolved Solids (TDS), pH, Chloride (Cl–), Sodium (Na …
Examining Iot-Enhanced For Current Developments In Face Image Authentication (Fia) Methods And Their Drawbacks,
2025
Fine Arts Institutes for Girls, Baqubah-Diyala/Iraq
Examining Iot-Enhanced For Current Developments In Face Image Authentication (Fia) Methods And Their Drawbacks, Marwa Jamal Hadi, Emaan Ouudha Oraby
Al-Esraa University College Journal for Engineering Sciences
The quick development of IoT and facial image manipulation (FIM) algorithms, as well as the growth of their user-friendly applications, highlight the pressing need for manipulation detection methods. These techniques need to demonstrate how face photos have been altered and validate their legitimacy. The scientific community has recently taken notice of the phrase “DeepFakes” and methods for detecting them. Take note of the latest methods for identifying watermark-based face image modification as well. The important thing to remember is that every one of these methods has its own set of drawbacks. This study provides a brief introduction to face image …
Detecting Polar Ring Galaxies Via Deep Learning,
2025
University of South Carolina
Detecting Polar Ring Galaxies Via Deep Learning, Fawad Kirmani, Anathavishnu S. Unnii, Varsha P. Kulkarni, Kyle Lackey, John R. Rose
Faculty Publications
Polar ring galaxies (PRGs) are peculiar galaxies that show a ring of stars, gas, and dust oriented roughly over the poles of the central ‘host’ galaxy (i.e. roughly orthogonal to the disc of the host galaxy). The formation models for these rings involve mergers or tidal interactions of the host galaxy with another galaxy. Although the identified PRGs look different from each other, they all have a ring that is not in the same plane as the disc of the host galaxy. Unlike in galaxies such as our Milky Way, where stars form in spiral arms, the rings exemplify an …
Development Of A Colorectal Cancer Spheroid Model To Improve The Accuracy Of Preclinical Drug Testing,
2025
California Polytechnic State University, San Luis Obispo
Development Of A Colorectal Cancer Spheroid Model To Improve The Accuracy Of Preclinical Drug Testing, Jillian Trilevsky
Master's Theses
Colorectal cancer is the second leading cause of cancer related deaths worldwide. It currently affects millions of people across the globe and is only expected to increase in impact over the coming years. The most common treatment for metastatic colon cancer is chemotherapy, however, the development of chemotherapeutic drugs is a long and expensive process. A large portion of this development process is spent in preclinical drug testing. However, the models used often lack enough physiological relevance to guarantee the drug’s success in a clinical trial. Due to this gap in testing, researchers seek to develop a more physiologically relevant …
Impact Of Ionizable Lipid Variation On The Immunogenicity Of Lipid Nanoparticles,
2025
DePauw University
Impact Of Ionizable Lipid Variation On The Immunogenicity Of Lipid Nanoparticles, Chloe M. Krueger, Abbey L. Stokes, Shilpi Agrawl, Christopher E. Nelson
Annual Student Research Poster Session
Lipid nanoparticles (LNPs) are a leading nonviral delivery system for nucleic acid therapeutics due to their scalability and efficiency. However, certain formulations may trigger undesired immune responses. This study aimed to assess the inflammatory potential of LNPs formulated with different ionizable lipids using a murine macrophage reporter cell line (RAW-IRCs). RAW-IRCs express GFP upon successful mRNA delivery and mRFP1 upon activation of inflammatory pathways. A library of LNPs was synthesized via vortex mixing and characterized for hydrodynamic diameter, polydispersity index, and encapsulation efficiency. Treated RAW-IRCs were analyzed by flow cytometry to evaluate GFP and mRFP1 expression. Our results highlight seven …
Multi-Material Printer Development,
2025
California Polytechnic State University, San Luis Obispo
Multi-Material Printer Development, Jessica Hu, Phoebe Eplett
College of Engineering Summer Undergraduate Research Program
Surgeons require pre-surgical models to practice procedures and improve success rates. However, the current process of creating physical models for practice using 3D printing is limited to producing homogeneous mimics of the human body, while the human body is a heterogeneous structure composed of multiple materials with varying properties, including bones, muscles, and skin. Additive manufacturing methods cannot easily print multiple materials simultaneously, as current AM machines only print homogeneous material, unlike the human body. In this proposal, we aim to develop a multi-material additive manufacturing system, from software to hardware, to manufacture pre-surgical models. We will investigate multi-material AM …
A Novel Hybrid Re-Entrant Double Arrowhead With Active Link Auxetic Metamaterial: Finite Element Approach,
2025
California Polytechnic State University, San Luis Obispo
A Novel Hybrid Re-Entrant Double Arrowhead With Active Link Auxetic Metamaterial: Finite Element Approach, April Nguyen
College of Engineering Summer Undergraduate Research Program
Auxetic metamaterials are a category of material that exhibit a negative Poisson's ratio (NPR). NPR materials contract when compressed and expand when stretched. NPR properties are typically produced through a complex unit cell consisting of folds, internal angles, or other specially designed shapes with internal voids capable of collapsing in on themselves. Individual unit cells that display these properties are developed and stacked or layered in a repeating pattern such that a larger body can be manufactured, maintaining the same properties. NPR auxetic structures show either a stretch-dominated mechanism (SDM) or a bending-dominated mechanism (BDM). SDM-based NPR structures are favored …
Computational Investigation Of The Role Of 3d Genome Architecture In The Lifecycle Of The Malaria Parasite,
2025
California Polytechnic State University, San Luis Obispo
Computational Investigation Of The Role Of 3d Genome Architecture In The Lifecycle Of The Malaria Parasite, Srish Maulik
College of Engineering Summer Undergraduate Research Program
Malaria, a mosquito-borne infectious disease caused by the Plasmodium parasite, is responsible for more than a half a million deaths per year, the vast majority of which occur in central Africa. The parasite undergoes an incredibly complex cell molecular transformation as it transitions from living in mosquitoes to living in humans with different sets of genes being activated or silenced in order to evade the immune system of the host. Understanding how its genome guides this transition is critical for developing adequate treatments. In this project, we aim to develop a computational framework for investigating the role of the three …
Impulse, Fall 2025,
2025
South Dakota State University
Impulse, Fall 2025, Jill Fier, Sierra Brown, Jerome J. Lohr College Of Engineering
Impulse (Jerome J. Lohr College of Engineering Publication)
2 | Faculty News
3 | SDSU Vet Hua to Head Civil Engineering
6 | Ad Lunam — To the Moon
10 | Building A Safety Culture
11 | Department News
12 | Surface Mount Technology Kickoff
14 | Construction Management Student, Volleyball Player Building Success Piece by Piece
16 | Student Awards, Honors
18 | Student Competition Results
20 | NASA Win Opens Doors for New Product Development Order
22 | SDSU Engineering Student Tabbed as Noblereach Fellow
26 | Knabach Award Recipient from Apprentice Lineman to Company President
28 | Metzger Create Faculty Endowment for SDSU Engineering
30 …
Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing,
2025
California Polytechnic State University, San Luis Obispo
Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing, Lucas Taliaferro, Phoebe Ong
College of Engineering Summer Undergraduate Research Program
Our group has been developing a novel manufacturing technique to fabricate flexible sensing devices using electrostatic force. Previously, we focused on utilizing nanomaterials as the sensing materials to measure strains. Building on our experience with the manufacturing technique, we will move forward to incorporate other smart materials in the flexible device to achieve self-powered sensors. Besides, to better understand the fabricated material properties, we are interested in characterizing the microstructural behavior of the material networks via microscopic imaging and finite element simulations. The students will have the opportunity to closely work with Dr. Wang’s interdisciplinary research group.
A Biomimetic Fe Model Of The Human Foot For Kinematic And Footwear Analysis,
2025
California Polytechnic State University, San Luis Obispo
A Biomimetic Fe Model Of The Human Foot For Kinematic And Footwear Analysis, Brady K. Nakamura
College of Engineering Summer Undergraduate Research Program
The idea of the present proposal is to develop a biomimetic foot model and validate the model accuracy in predicting plantar stresses on the foot, using insole pressure sensors. The incidences of foot pain can often be coupled with uncomfortable footwear and prolonged usage of a shoe may be associated with long-term musculoskeletal disorders in the lower limb. While multiple studies have tracked the progression of knee osteoarthritis (OA) or midfoot OA and have studied the effect of orthotic treatment on the foot pain across individuals [1], there are few biomimetic models of the foot that can study and associate …
Performance Dashboard Design For Radiologists: Highlighting What Matters & Fostering Improvement,
2025
California Polytechnic State University, San Luis Obispo
Performance Dashboard Design For Radiologists: Highlighting What Matters & Fostering Improvement, Trevor Knotts, Jemma Simpson, Coleman Hawkins
College of Engineering Summer Undergraduate Research Program
TurboRad has developed a system with proven results that streamlines radiology report creation and improves radiologist productivity. A study performed in 2023 found that “the advanced macro-button toolbar system has great correlation for both lower report completion times and increased wRVU productivity. The benefits of the toolbar system are most evident in the simpler XR reports. Though they are simpler to read and complete reports, the greater quantity of XR reports contributes to a greater overall wRVU completion rate throughout the day as radiologists can spend more time on more complex examinations and reports” (Chow, Speece, & Holtzman, 2024). Since …
