Digital Commons Network^™

How To Make Radiometric Vicarious Calibration Methods Ready For The Upcoming Space Projects, Damien Rodat, Morgane Chapelier, Sophie Coustance, Emilie Delogu, Camille Desjardins, Arthur Dick, Morgane Farradeche, Lucas Landier, Clement Luitot, Sebastien Marcq, Aime Meygret, Charlotte Revel, Thierry Erudel, Morgan Farges, Xavier Lenot, Martin Bachmann, Emiliano Carmona, Laura La Porta, Miguel Pato, Karl Segl, Lorenzo Giampietri, Ettore Lopinto, Francesco Sarti

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

The space projects are always designed to push back the frontiers of what is feasible, focusing for instance on spatial, spectral and/or temporal aspects. In any case, the radiometric quality has to meet the end-user’s requirements, which may also be higher and higher. In the frame of optical Earth observation, the French space agency (CNES) is involved in a large panel of upcoming projects addressing new challenges such as the very high spectral resolution for carbon dioxide monitoring with MICROCARB, the combination of both spatial and spectral resolution for a spectro-imager, the thermal infrared domain with TRISHNA, the polarisation with …

Developing A Consistent And Coordinated Response From The National Metrology Institutes’ Radiometry Community To The Needs Of The Earth Remote Sensing Satellite-Observation Communities, Michelle Stephens, Emma Wolliams

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Modern satellite-based Earth observation measurements demand long-term data records that span multiple missions with reduced uncertainties. SI-traceability and robust uncertainty analyses are key aspects to meeting these demanding requirements. In this presentation we report on the activities of the CCPR-WG-SP TG17, an international task force created within the Bureau International des Poids et Mesures (BIPM) to provide a consistent and coordinated response from the National Metrology Institute (NMI) radiometry community to the needs of the satellite-observation communities.

The BIPM is the international organization through which National Metrology Institutes work together on matters related to metrology. Within the BIPM, the Consultative …

Intelligent Intrusion Detection In Clustered Wireless Sensor Networks: A Dynamic Clustering And Machine Learning-Based Approach, Abdullah R. Abdulwahhab, Mohd Fadzli Mohd Salleh, Muhammad Firdaus Akb, Mohammed Najm Abdullah

Iraqi Journal for Computer Science and Mathematics

Traditional Intrusion Detection Systems (IDS) designed for more conventional network infrastructures are often ill-equipped to handle the unique challenges WSNs pose, leading to significant gaps in security and resilience. This paper introduces an Intelligent Intrusion Detection System (IIDS) explicitly tailored for clustered WSNs to address these critical challenges. The proposed IIDS integrates dynamic clustering with advanced machine learning algorithms to create a robust and adaptive security solution capable of real-time threat detection and mitigation. The dynamic clustering mechanism is designed to continuously monitor and respond to changes in sensor node network topology and energy levels, ensuring that energy consumption is …

Non-Overlapping Patch-Based Pre-Trained Cnn For Breast Cancer Classification, Lamyaa Sabeeh Ashour, Ahmed Abed Mohammed, Mustafa M. Abd Zaid, Putra Sumari, Ahmed Kateb Jumaah Al-Nussairi, Sura Abdulateef Al-Shammari, Sarah Thabit Abdulmunem

Iraqi Journal for Computer Science and Mathematics

Breast cancer (BC) significantly impacts women's mortality rates and requires early detection to improve survival chances and enable appropriate treatment. Thus, a computer-aided system with high performance can speed up this process. A convolutional neural network (CNN) is considered sensitive to insufficient, noisy data. It cannot achieve high performance, however, restricted access to high-quality medical data, stemming from stringent confidentiality and privacy issues, is a considerable obstacle to the successful training of deep learning models. The current study aims to develop a remarkable, influential model for BC classification whilst considering modern pre-trained models ResNet50, AlexNet, InceptionV3 and VGG16 for extracting …

Retracted: Navigating The Complexities And Artificial Intelligence Of Internet Of Things Security Claims, Tamara Saad Mohamed, Saad Mohammed Khalifah

Iraqi Journal for Computer Science and Mathematics

The term ``Internet of Things'' (IoT) describes a system that allows everyday objects to communicate with one another and with controlled systems, servers, and other linked devices through a variety of connectivity constructions by means of embedded software, sensor technology, electronics, and connections. Data from the Internet of Things (IoT) will be sent to the servers over the internet from a variety of sensors, nods, and collectors. Governments, medical facilities, consumers, and corporations all make use of IoT devices. approximately, More than 65 billion Internet of Things devices are expected to be in operation by 2024. The proliferation of IoT …

Topological Indices For The Resize Graph Of (G2(3)), Manar Musab Ftekhan, Ali Abd Aubad

Iraqi Journal for Computer Science and Mathematics

Indexes of topological play a crucial role in mathematical chemistry and network theory, providing valuable insights into the structural properties of graphs. In this study, we investigate the Resize graph of G₂(3), a significant algebraic structure arising from the exceptional Lie group (G₂) over the finite field F₃. We compute several well-known topological indices, including the Zagreb indices, Wiener index, and Randić index, to analyze the graph's connectivity and complexity. Our results reveal intricate relationships between the algebraic structure of G₂(3) and its graphical properties, offering a deeper understanding of its combinatorial …

Machine Learning Algorithms To Detect Cyber-Attack In The Internet Of Things Platform, Maad Kamal Al-Anni, Rafah M. Almuttairi, Ammar A. Al-Hamadani, Khamis A. Zidan, Husam Ibrahiem Husain Alsaadi, Ghaidaa A. Al-Sultany

Iraqi Journal for Computer Science and Mathematics

In response to escalating cyber threats in Internet of Things (IoT) networks, this research investigates several traffic classification techniques by using benchmark datasets, such as CICIoT2023. This dataset was exclusively used to test the effectiveness of the proposed system, which aims to enhance the data processing for machine learning algorithms amid increasingly complex cyber threats. To prepare the naturally unstructured and raw dataset for analysis, Linear Discriminant Analysis (LDA) is applied for dimensionality reduction. The processed data and attributes are then fed into the proposed Fuzzy-Integrated Relevance Vector Machine Classifier (FIRVM), which is implemented in Python 3.10⁺ using the …

The Triple Display Projection Configuration That Reduces The Workload Of The Pixels., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a triple display projection configuration that reduces the workload of the pixels. The entire configuration will consists of 3 identical video projecting displays, 2 video projection combining beam splitters, a convex lens stack that consists of 2 convex lenses arranged in the stack configuration and a video projection reflecting beam splitter. The triple display projection configuration will have the capability to provide a virtual content viewing experience. This virtual content viewing experience will be achieved utilizing a consecutive collection of composite image projection procedures. Each composite image projection procedure will be constructed utilizing 3 consecutive image projection …

Insulated And Sealed Stator Lead Design Without Potting For Easier Disassembly

Defensive Publications Series

Sealing of stator lead terminations in refrigerant compressor motors is crucial to prevent refrigerant leakage and ensure robust electrical insulation. Traditional epoxy based potting solution is not suitable for high voltage applications that use terminal with busbars and lug-based design on stator leads. This proposed solution discloses an innovative rubber based potting free sealing solution for high voltage AC stator terminal that uses busbars.

Increase Card Acceptance In Under-Penetrated Segments: Changing Customer Payment Behavior With Reinforcement Learning, Gen Ai Reasoning, And Card Community Analysis, Nagraj Naidu Mr, Shruti Gupta Ms

Defensive Publications Series

The present disclosure provides a method for behavioral prediction of a cardholder, performed by an artificial intelligence (AI) agent utilizing reinforcement learning in conjunction with a Markov Decision Process (MDP) framework. A Language Learning Model (LLM) acquires state and transition probabilities from an analytical processing unit. The LLM accesses historical interaction data and feedback records from a specialized vector database. The LLM analyzes and assimilates historical information retained within the vector database. The LLM implements cognitive algorithms predicated on defined contextual parameters with the aim of developing a personalized card usage strategy. The LLM orchestrates a sequence of interactive prompts.

Videoshot: Automatic Video Summarization And Information Extraction, Paula Marques

Defensive Publications Series

While videos are a popular source of information, it is difficult to extract usable information from a video, e.g., a list of ingredients and set of steps from a recipe video. While screenshots and manual notetaking can be performed, these are cumbersome. This disclosure describes the use of artificial intelligence (AI) techniques for automatic extraction of information from video content (performed in accordance with controls set by the video creator) and transfer of such information to an appropriate downstream application. A user can trigger information extraction by performing a suitable action and optionally, can indicate their task. Artificial intelligence techniques …

Rlmf Training Of Llm For Optical Character Recognition Tasks, Ágoston Weisz, Khalid Salama

Defensive Publications Series

It is possible to provide an arbitrary image (e.g., in PDF, JPG, or any other format with handwritten or printed text in arbitrary orientations and languages) to an LLM and instruct it to extract text from the image. While an LLM can perform this task, the performance can be unsatisfactory and variable. This disclosure leverages reinforcement learning with machine feedback (RLMF) to improve the accuracy of an LLM when performing image-to-text conversion tasks. Per the techniques, known documents (where the groundtruth text content is known) and/or generated documents with text in a variety of fonts (and other parameters, such as …

Lookup-Table Multiplier Using Rom/Tie-Off Cells, Na

Defensive Publications Series

This disclosure describes low-cost, energy-efficient lookup-table (LUT) multipliers using memory arrays with read-only memory or tie-off cells (cells hard-wired to a 0 or 1). In contrast to a typical SRAM cell, which can use up to six transistors, a latch, etc., a tie-off cell uses only a couple of transistors. The memory array can be shared among a number of multipliers. Sharing the memory array across multipliers amortizes the cost of the memory array over those multipliers. The tie-off cell LUT can be optimized using ‘constant propagation’ during synthesis. The read decoders can be further optimized for a given implementation …

Cultural Intelligence In Expatriate Employee Success: A Critically Appraised Topic, Kathy So

Engaged Management ReView

Studies have shown a high failure rate among employees of multinational enterprises (MNEs) who work on overseas assignments. Although research often heralds cultural intelligence as an essential factor in expatriate employees, whether cultural intelligence should be the primary focus when choosing employees for overseas assignments is inconclusive. This topic paper aims to provide specific recommendations for ensuring the success of expatriate employees. More specifically, this assessment explores the effect of cultural intelligence on the success of expatriate employees. The research question is this: What is the effect of cultural intelligence on the success of expatriate employees who work for multinational …

New Contrast-Based Metrics For Roadway Lighting Design, Amira R. Abouelhamd

Thesis/ Dissertation Defenses

Roadway lighting standards specify design targets of horizontal illuminance or luminance at the roadway surface for various roadway types. Although the luminance and illuminance method to roadway lighting standards incorporate some factors that affect human visibility, other important factors, such as the target’s contrast and size, are not examined in these standards. Roadway lighting standards should consider how the human visual system detects objects and provides comfortable approaches to improve visibility for drivers. As luminous contrast has a crucial impact on visibility measures, recent studies have been directed to propose new approaches that utilize it. This research aims to propose …

Health Professions Advising Office (Hpao), University Of Mississippi. Health Professions Advising Office

University Website Migration from WordPress

No abstract provided.

Meeting 2025-06-11, Civil Service Senate

Civil Service Senate Minutes

Minutes from the Civil Service Senate meeting.

Interprofessional Education: A Geriatric Immersion Experiential, Emily J. Balog, Jennifer Degennaro, Lisa Bodenheimer, Stephanie Berdugo-Hernandez, Isabella Berdugo-Hernandez, Matthew Mclaughlin, Kevin Overbeck, Elyse Perweiler

Rowan-Virtua SOM Faculty Teaching & Learning Seminar

The Geriatric Interprofessional Education Immersion (GIPEI) course was developed using a mixed methods design guided by the Knowledge-to-Action (KTA) Framework and embedded data-driven decision-making (DDDM). The eight-week, tri-weekly immersion integrates Experiential and Adult Learning Theories, the 4Ms Framework, IPEC competencies, and TeamSTEPPS to foster age-friendly clinical decision-making. Quantitative and qualitative data, including pre/post-tests, rubrics, observations, and student interviews, inform iterative improvement. The somato-psycho-socio-semiotic model of health further anchors student reflection and care planning. Findings aim to demonstrate improved learner ability to recognize and apply age-friendly care, while supporting evidence-informed curriculum refinement. The course is funded by the geriatric workforce enhancement …

The Minutes Of The Marshall University Board Of Governors Meeting, June 11, 2025, Marshall University Board Of Governors

Board of Governors Minutes

No abstract provided.

Navigating Campus Partners, Dymond Bush, Sarah Campbell, Olivia Seymour

Library Staff Publications, Presentations & Journal Articles

Demonstrating the value of the library’s resources to campus partners can be challenging for librarians. In this session, learn how Bryant University Research and Instruction Librarian Dymond Bush built relationships with the Athletics Department to bring this community into the library. Olivia Jones with Salve Regina University’s McKillop Library will discuss her partnership with the Office of Multicultural Programs and Retention and their Inclusive Reading Club. Sarah Campbell, Research and Instruction librarian at JWU will explore how developing partnerships with the graphic design department and the Center for Teaching and Learning created new opportunities for instruction and pedagogy-focused professional development. …

A Guided Board Preparation Initiative To Support Struggling Students' Success In Board Exams, Dyron J. Corley, Shiyuan Wang

Rowan-Virtua SOM Faculty Teaching & Learning Seminar

The Guided Board Prep Initiative was created to synthesize all the board preparation resources and provide more organized guidance for students we identified in MS1 who would struggle to pass COMLEX Level 1. Among at-risk students between 2023/4-2024/5 cohorts (N=169), the cohort of 2024/25 had significantly higher COMLEX Level 1 pass rate than 2023/24 cohort (chi-square 4.8, p-0.03)

Teaching Students To Provide Effective Feedback With The Situation-Behavior-Impact (Sbi) Framework, Steve Garwood

Rowan-Virtua SOM Faculty Teaching & Learning Seminar

We often ask medical students to provide feedback to each other and the faculty. However, we do not necessarily teach them to provide effective, actionable feedback. This research focused on the impact of providing students with a 1-hour session training them to utilize the Situation-Behavior-Impact (SBI) feedback model.

Impact Of Nitrogen Fertilizer Application Rates On Plant Growth And Yield Of Organic Kale And Swiss Chard In Vertical Farming System, Andruw Jones, Sai Prakash Naroju, Dilip Nandwani, Anthony Witcher, Shahidullah Chowdhary

Agricultural and Environmental Sciences Faculty Research

To support the growing global population, sustainable farming methods like vertical farming must complement traditional agriculture. This study evaluated the effects of various nitrogen fertilizer application rates (N_low (1055.3 ppm), N_rec (1640.9 ppm), N_high (2811.3 ppm), and N_0 (469.9 ppm)) on organic kale (Brassica oleracea L. var. acephala ‘Lacinato’) and Swiss chard (Beta vulgaris subsp. Vulgaris ‘Ruby/Rhubarb Red’), grown in a vertical growing system installed in a high tunnel during the spring and fall season of 2023 at the organic farm of Tennessee State University. Growth parameters studied included fresh weight, Brix, chlorophyll, plant height, and leaf count. Most parameters …

Theatre And Film, University Of Mississippi. Department Of Theatre And Film

University Website Migration from WordPress

No abstract provided.

The Critical Plastocapillary Number For A Newtonian Liquid Filament Embedded Into A Viscoplastic Fluid, Mohammad Tanver Hossain, Wonsik Eom, Arjun Shah, Andrew Lowe, Douglas Fudge, Sameh H. Tawfick, Randy Ewoldt

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The yield stress of a viscoplastic material can stabilize an embedded fluid tunnel against capillarity-induced breakup, enabling remarkable technologies such as embedded 3D printing of intricate, freeform, and small components. However, there is persistent disagreement in the published literature between the observed minimum stable diameter, 𝑑min, and the theoretical plastocapillary length 𝑝𝑐 = 2𝛤∕𝜎𝑦, with interfacial tension 𝛤 and bath yield stress 𝜎𝑦, leading to a prior hypothesis that the apparent surface tension 𝛤 is much smaller to enforce 𝑑min = 𝑝𝑐 . Here we introduce and experimentally test a new hypothesis that the critical diameter is set by the …

Situational Analysis Of Child Labour In Coastal And Marine Activities In Zanzibar, Tanzania, Happiness Anold Moshi, Rukia Kitula

Journal of Humanities and Social Sciences

This study analyses the situation of child labour in coastal and marine activities in Zanzibar, Tanzania, by examining activities carried out by children, the major driving factors for engaging in child labour, as well as the associated impacts to children’s schooling and wellbeing. Questionnaire survey, focus group discussions (FGDs), participant observations, and key informant interviews (KII) were all used to collect data for the study. The study involved a total of 90 children, who were randomly selected among working children in coastal and marine activities. It was found that most of the working children were involved in fishing, fish descaling, …

Virtual Assistant For Pest Management, Viswanada Chakravarthy Karri

Master’s Dissertations

Effective pest identification and management are essential for ensuring agricultural productivity, especially in regions with limited expert access. This work proposes a virtual assistant based on a Retrieval-Augmented Generation (RAG) [1] framework to support pest management tasks. The system utilizes a multimodal dataset consisting of pest images and annotated textual interactions, adapted from the AgriLLaVA corpus [2]. The assistant combines retrieval mechanisms with generative language models to generate contextually grounded responses. It is designed for deployment on local hardware with limited computational resources, integrating open-source models for both retrieval and generation. Preliminary results suggest that this approach can provide accurate, …

Keynote Address: The Future Of Environmental Enforcement, David M. Uhlmann

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Panel 1: Environmental Enforcement Under New Administrative Law Principles, Sommer H. Engels, Jeffrey W. Mccoy, Melissa A. Scacchitti, David M. Uhlmann

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Presentations: Pennsylvania's Environmental Rights Amendment And Environmental Justice, Samantha Phillps Beers, John C. Dernbach, Emma H. Bast, Margaret O. Murphy

Villanova Environmental Law Journal (1991 - )

No abstract provided.