Digital Commons Network^™

Llm-Integrated Anomaly Detection For Iot Networks: Framework Structure, Mamoon M. Saeed, Rashid A. Saeed, Salah Hagahmoodi, Rania A. Mokhtar, Khalid Hamid

Baghdad Science Journal

Internet of Things (IoT) devices are vulnerable to zero-day attacks because most of them have weak or no inherent security due to the resource constraints of the devices. This weakness underscores the growing need for anomaly-based intrusion detection systems tailored to IoT networks. Nevertheless, general anomaly detection traditionally has a high number of false positives that drain analysts' time. Also, a semantic difference exists between the system's results and the operators' interpretations. We introduce a machine learning-based framework to tackle these issues in traditional systems in this paper by combining large language models (LLMs). Our model is effective in identifying …

Video Steganography Based On Invertible Neural Networks With Densenet And U-Net Features, Noor Fahem Sahib, Soukaena Hassan Hashem, Ekhlas Falih Naser

Baghdad Science Journal

The increased rate of cyber threats such as fraud and other forms of attack, including phishing, malware, and denial-of-service attacks, has led to a growing demand for secure methods to ensure the security of sensitive information that is transferred among users. Video steganography has become a very important element in dealing with these security issues, as communication has become more dependent on multimedia content. Hiding information is now an area that is being developed very fast with the introduction of Deep Learning (DL)-based steganography methods. This framework introduces Vid_Steg_DenseUNet, a video steganography method which efficiently extracts multi-level features using edge-preserving …

Qrc-Pso: A Quad-Module Ring-Competitive Pso Algorithm For Coverage Optimization In Wireless Sensor Networks, Yu-Xuan Zhou, Shao-Qiang Ye, Di-Wen Kang, Xue-Wei Liu, Kai-Qing Zhou

Baghdad Science Journal

Coverage optimization in WSNs is critical for disaster warning and industrial monitoring, but is challenging due to multi-modality and high-dimensionality. Particle swarm optimization (PSO) offers fast convergence and simple parameter tuning, yet suffers from premature convergence and parameter sensitivity in multi-peak problems. To address these issues, we propose a Quad-module Ring-Competitive PSO (QRC-PSO). It comprises four heterogeneous subgroups with distinct parameter configurations for global exploration, local exploitation, balanced search, and perturbation enhancement. Subgroups evolve independently but exchange elite particles via a ring-topology migration strategy: every 20 iterations, the best three particles of each subgroup move clockwise to the next subgroup …

A New Reptile Search Algorithm For An Intelligent Video Retrieval System, Ansam Nazar Younis, Fawziya Mahmood Ramo

Baghdad Science Journal

The increasing volume of videos produced and shared via smart devices has made indexing and retrieving them a clear challenge. Current retrieval systems, such as specialized video retrieval systems, rely on text-based searches, which often misrepresent and frequently result in erroneous descriptions of the requested video, particularly when it comes to videos about certain specialities like security or medical procedures that are hard to describe. As a result, we developed a model that handles information-rich video queries, making it easier to find related videos that are specifically relevant to the user's needs. This paper proposes a new method for indexing …

A Vision For The Future Of Academic Publishing In Sports Analytics, Ryan Elmore, B. Baumer, Brian Macdonald, Gregory J. Matthews, Michael E. Schuckers

Statistical and Data Sciences: Faculty Publications

This article introduces the Journal of Statistics and Data Science in Sports (JSDSS), a Diamond Open Access, peer-reviewed journal. The journal is founded on three core principles. First, our commitment to open access is absolute. Second, reproducibility is critical and fundamental to the journal. Third, we believe sport is a rich and underutilized laboratory for statistical and data science innovation. The aim of the Journal of Statistics and Data Science in Sports is to provide an outlet for original, rigorous, practical, state-of-the-art, reproducible, and peer-reviewed analysis of sports data as well as the data science tools (software, applications, data, etc.) …

Deep Learning-Based Burned Area Mapping Of California Wildfires Using Sentinel-2 And Landsat-8 Imagery Enhanced With Super-Resolution Techniques, Youngmin Seo, Seung Hee Kim, Menas Kafatos, Jinsoo Kim, Yangwon Lee

Institute for ECHO Articles and Research

The increasing frequency of wildfires under a changing climate has led to extensive ecosystem destruction, highlighting the need for reliable burned area assessment using satellite imagery. Single-satellite data are constrained by observation gaps and interference from smoke and clouds, whereas multi-satellite data fusion can mitigate these limitations. Nonetheless, the fusion techniques still encounter challenges such as spatial information loss from resolution differences and cross-satellite domain mismatch. This study presents a burned area mapping framework that integrates super-resolution (SR) with transfer learning to address spatial and domain gaps in multi-satellite data. Specifically, Landsat-8 imagery is super-resolved to 7.5 m resolution, and …

Draft Final 2023 Reclamation Improvement Sites Sampling: Bres No. 31 – Waste Dump #5 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

This Butte Priority Soils Operable Unit (BPSOU) Reclamation Improvement (RI) Site Evaluation Summary Report (SESR) presents results of soil sampling conducted on October 16, 2023, at the Butte Reclamation Evaluation System (BRES) No. 31 – Waste Dump #5 Site and adjacent areas (referred to herein as Site) within the BPSOU. The BPSOU Consent Decree (CD) (referred to herein as BPSOU CD; EPA, 2020) Appendix D, Attachment C Further Remedial Elements Scope of Work (FRESOW) prescribed further evaluation of sites reclaimed prior to establishment of the Butte Hill Revegetation Specifications (BHRS) (Appendix A to the BPSOU CD), which were initially established …

2026 Final Bpsou Backfill And Cover Material Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

This Butte Priority Soils Operable Unit (BPSOU) Backfill and Cover Material Quality Assurance Project Plan (QAPP) provides the procedures and protocols necessary to conduct sampling and geotechnical characterization activities on import borrow and other externally sourced materials that will be used in backfill, cover soil, or engineered caps for upcoming BPSOU remediation activities described in the BPSOU Consent Decree (CD) (referred to as BPSOU CD; EPA, 2020a) Further Remedial Elements Scope of Work (FRESOW) (Attachment C of Appendix D to the BPSOU CD), the 2020 Residential Metals Abatement Program (RMAP) Unilateral Administrative Order (UAO) Amendment (EPA, 2020a), and ongoing maintenance …

Personal Authenticity For Engagement And Transfer In Introductory Cybersecurity Education, Daniel T. Hickey, Ronald J. Kantor

Journal of Cybersecurity Education, Research and Practice

Abstract—This conceptual/theoretical paper explores how personal authenticity might promote generative learning in introductory cybersecurity courses. Generative learning transfers confidently to future educational, professional, personal, and testing situations. This cycle of design-based research addresses the concern that more typical professionally authentic contexts (e.g., hospitals, banks, etc.) may be alien and overwhelming to many students, particularly those in introductory courses and/or from non-professional families and communities. If so, this leads to “inert” knowledge that does not transfer. Personal authenticity is rooted in expansive framing, a modern theory of learning transfer. We reframe expansive framing as personal authenticity to make it …

Mentor Evaluation Of A Black Male Youth Mentoring Program, Kenneth Brown

Walden Dissertations and Doctoral Studies

This study was an exploration of how Black male mentors perceived organizational practices, culturally responsive mentoring, relational safety, and systems level barriers shaping their effectiveness and continued participation. The purpose was to examine early mentor-mentee match dissolution and low mentor retention in a nonprofit youth mentoring through the lens of the ecological systems theory and program evaluation framework. The practice-focused research questions were: How do volunteer mentors and program staff perceive the organizational practices and culturally responsive strategies that influence mentor effectiveness and retention in youth mentoring programs, and what organizational and systemic challenges do Black male mentors encounter in …

Lightweight Open Source On-Spacecraft Machine Learning With Mlpack And F Prime, Ryan R. Curtin, Scott M. Gilliland, Sterling L. Peet

Small Satellite Conference

Onboard machine learning is an increasingly important topic in spaceflight systems, as machine learning and AI models are increasingly used for data processing, anomaly detection, attitude control systems, and other predictive applications. However, successfully deploying a machine learning model in a spaceflight computing environment is fraught with difficulty, as spaceflight computing environments are low-resource, but typical machine learning software solutions are implemented in languages like Python, which require an interpreter and other heavyweight dependencies. It is therefore virtually mandatory for any on-spacecraft machine learning to be written with lightweight toolkits that minimize dependencies and resource usage.

We demonstrate a solution …

Uncertainty Quantification And Platform Scattering For The Cimr Reflector Antenna, Tonny Rubaek, Pasquale Giuseppe Nicolaci, Cecilia Cappellin

Small Satellite Conference

The Copernicus Microwave Imaging Radiometer (CIMR) employs a 7.1 m conical scanning mesh reflector antenna rotating at 7.8 rpm that operates from L to Ka band. Demanding radiometric accuracies and sensitivities at few tenths of a Kelvin at high spatial resolution are targeted for the instrument. These require a high accuracy in the characterization and modelling of the antenna pattern over 4π, considering any nearby scattering structure, and/or any potential multipath due to the antenna installation on the S/C, as well as the quantification of the uncertainty on the beam efficiency (BE) arising (from possible in-orbit random variations in the …

Sar Disksat Demonstration Mission For Constellation In Vleo, Hirobumi Saito, Mitsuteru Kaneoka

Small Satellite Conference

We proposed a novel concept of quasi-two-dimensional SAR (synthetic aperture radar) satellites, SAR DiskSats, in 2023 at this conference. This year, in 2026, the demonstration missions of SAR DiskSats are authorized by the Japanese government as a Space Strategy Fund’s Mission. This paper describes the concept and the mission scenario of the demonstration mission in 2028 and 2030. The SAR DiskSat features a deployable passive slot array antenna that can be compactly folded within the quasi-two-dimensional satellite body. This configuration allows for flexible solar cell sheets to be installed on the backside of the antenna, as the antennas do not …

Design Mechanism Framework For Autonomous Small Satellite Constellations – A Newspace Outlook, Mohammed Irfan Rashed

Small Satellite Conference

The increasing deployment of small satellite constellations is driving a transition from isolated spacecraft missions toward distributed and coordinated space operations. However, as constellation size and mission complexity grow, traditional ground-centric operational approaches become difficult to scale due to communication limitations, delayed decision-making, and increased operational workload. While autonomy has been widely explored through onboard algorithms and artificial intelligence techniques, there remains limited focus on how autonomy should be integrated into the systems engineering architecture of constellation missions. This paper presents a Design Mechanism Framework (DMF) for autonomous small satellite constellations that embeds autonomy directly into mission architecture, operational logic, …

Modeling Of Supersonic Wave And Shock Propagation Using The Lattice Boltzmann Method, Timothy P. Schroeder

Beyond: Undergraduate Research Journal

The lattice Boltzmann method (LBM) has emerged as a mesoscopic alternative to traditional Navier-Stokes solvers for modeling fluid dynamics offering advantages in computational efficiency, parallelization, and handling of complex boundaries. Despite these strengths, accurately reproducing compressible, shock-driven phenomena remains challenging. This study investigates the performance of LBM in simulating the Sod shock tube problem, a classical benchmark for compressible flow-using both single and double distribution function formulations across one- and two-dimensional lattice stencils. A MATLAB-based solver was developed to model the flow under isothermal conditions and compared to the analytical solution using the L2 norm error. The one-dimensional models achieved …

Development Of Quantum Cryptographic Algorithm For Next Generation Secure Systems, Gururaja Ts Mr

Theses and Dissertations

The rapid advancement of digital communication and quantum technologies are developing at an accelerated pace makes cybersecurity and data protection a big challenge. The traditional cryptographic methods are increasingly under attack by phishing, brute force, cryptanalytic attack and threats of quantum computing. This research presents a quantum-secure communication based on Quantum Random Number Generator (QRNG), Quantum Key Distribution (QKD), Quantum Image Encryption (QIE) and secure quantum key access using a dongle-based hardware.

QRNG models were designed in the quantum simulator and hardware. The sequences produce high entropy and they passed the statistical randomness tests with p-values higher than 0.01 indicates …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Resilience-Oriented Geological Safeguards For Damage Mitigation In Coal Resource Exploitation, Wang Shuangming, Sun Qiang, Yan Meixin, Miao Lintian, Liu Lang, Qiao Junwei, Niu Chao, Geng Jishi, Fang Chenxi, Zhang He, Xiao Lele, Li Shibo

Coal Geology & Exploration

Background Coal remains a fundamental component of China’s energy security system. With the westward shift of coal development and continuous expansion into deeper strata, coal mining is confronted with increasingly complex geological conditions and growing ecological constraints. Geological damage induced by mining disturbance has evolved from isolated geological issues into a coupled Earth-system problem involving the lithosphere, hydrosphere, pedosphere, atmosphere, and biosphere, characterized by uncertainty, hysteresis, concealment, and cross-scale accumulation. Resilience-based damage mitigation emphasizes reducing the probability, intensity, and recovery costs of geological damage through proactive identification, dynamic regulation, damage suppression, and post-disturbance restoration under mining disturbance and external environmental …

Mechanisms And Implications Of The Novel Cast Model Of Coal Graphitization, Wang Shaoqing, Zhang Jingzhe, Zhang Xiaomei, Wang Xiaoshuai, Chen Hao, Wang Xiaoling, Li Wu, Tang Yuegang

Coal Geology & Exploration

Objective and Methods Coal graphitization is a multi-stage process with abrupt changes rather than linear evolution. So far, its inherent driving mechanisms have not yet been fully elucidated. Notably, twisted graphene was observed in the process of coal graphitization in 2025, providing a new opportunity to reveal the essence of this structural transformation. Results and Conclusions By combining previous research results, this study proposes a novel coal graphitization model that consists of condensation, alignment, stacking, and twisting (CAST). The four parts of the CAST model are organically integrated, collectively forming a continuous and dynamic evolutionary process. Most especially, no absolute …

Spatial Topological Configurations Of Cleats And Geometrical Quantitative Characterization Of Matrix Blocks In Deep Coal Seams, Shen Jian, Li Wei, Tian Yongjing, Ma Tianyu, Zhang Hewei, Dong Jiying, Zhu Peipei

Coal Geology & Exploration

Objective Cleats in deep coal seams are characterized by strong heterogeneity, and their topological configurations, as well as their topological relationships with matrix blocks, remain poorly understood. On the other hand, the assumptions regarding the size and geometry of matrix blocks adopted in representative reservoir structure models and numerical simulations do not fully reflect actual reservoir conditions. Methods Deep coal cores collected from the northeastern Ordos Basin were investigated in this study. Using CT scanning and topological theory, a multi-dimensional topological parameter system was established to characterize cleats in deep coal seams. Furthermore, four topological configurations of cleats in deep …

Stable Isotope-Based Origin Identification And Enrichment Zone Division Of Medium- To Low-Rank Coalbed Methane, Wang Qiong, Xu Fengyin, Ren Pengfei, Xu Hao, Lu Pengda, Hu Han, Zhou Siyuan

Coal Geology & Exploration

Objective Medium-to low-rank coalbed methane (CBM) exhibits complex origins with significant vertical differentiation, leading to unclear origin identification and enrichment patterns. This study aims to determine the genetic mechanisms, enrichment patterns, and efficient exploitation pathways of medium- to low-rank CBM. This will help improve the theoretical system for the exploration and exploitation of such CBM. Methods CBM data from 14 typical low- to medium-rank coalfields and coal-bearing basins across the world were comprehensively analyzed, including CBM compositions C₁/(C₂+C₃), carbon and hydrogen isotopes of CH₄ (δ¹³C-CH₄ and δD-CH_{4 …}

Dynamic-To-Static Elastic Parameter Conversion Models For Coals Under Temperature-Pressure Coupling: A Case Study Of The No. 8 Coal Seam In The Daning-Jixian Block, Zhang Wei, Wu Peng, Liu Conghui, Zhang Sidun, Sun Xuedong, Yang Haixing, Ma Zhuang, Shi Rui, Shen Jian

Coal Geology & Exploration

Objective Existing dynamic-to-static elastic parameter conversion models for coals fail to fully account for the actual in situ pressure and temperature conditions of deep reservoirs. This leads to significant deviations in directly evaluating the mechanical properties of reservoirs using log-derived dynamic parameters. To address this challenge, this study investigated dynamic-to-static elastic parameter conversion under the in situ stress and geotemperature conditions of strata. Accordingly, high-precision parameter conversion models were established. Methods This study examined coal samples from the No. 8 coal seam at a burial depth of approximately 1200 m in the Daning-Jixian block along the eastern margin of the …

A Geochemical Evaluation Method For Geological Sweet Spots Of Marine-Continental Transitional Shale Gas: A Case Study Of The Shan$^3_2 $ Sub-Member, Eastern Margin Of The Ordos Basin, Zhu Xingcheng, Li Yong, Lu Jungang, He Qingbo, Li Shuxin, Xiao Zhenglu, Li Xiang, Jiang Qijun

Coal Geology & Exploration

Background China boasts abundant marine-continental transitional shale gas resources. However, marine-continental transitional shales in the country exhibit complex geological conditions characterized by rapid lateral facies transition, vertical superimposition of multiple lithologies, and small single-layer thickness. These characteristics pose a challenge to shale gas sweet spot prediction. Therefore, establishing a sweet spot grading and evaluation system tailored to these shales is of great significance for guiding decision-making in hydrocarbon exploration and supporting large-scale production. Methods Based on core observations, this study systematically evaluated the geochemical characteristics of marine-continental transitional shales in the 3rd submember of the 2nd member of the Permian …

An Integrated Automated Parameter Optimization Method Based On Fdem And Isight For Rock Mass Engineering: A Case Study Of Pillar Stability Design, Zhu Defu, Gao Bolong, Xu Jiabo, Wang Deyu, Gao Peng, Li Yalin, Hu Wenshuo

Coal Geology & Exploration

Background Conventional rock mass engineering design largely relies on empirical equations or numerical simulation schemes selected from a limited number of comparable cases, making it difficult to effectively balance multiple constraints such as safety, economic viability, and resource recovery. The finite-discrete element method (FDEM) based on the intrinsic cohesive zone model (ICZM) can effectively simulate the evolution of quasi-brittle materials from continuous to discontinuous behavior, rendering it particularly suitable for engineering issues involving highly discontinuous rock masses. Therefore, FDEM has become an important numerical analysis method in rock mass engineering. However, there remains an urgent need for a high-precision, integrated, …

Selection And Verification Of Optimal Key Parameters Of Ultra-Wideband Radars For Life Detection In Coal-Rock Shielding Environments In Coal Mines, Huang Yuan, Zheng Xuezhao, Wen Hu, Jin Feiyang, Xu Chengyu, Liu Yin, Ding Wen

Coal Geology & Exploration

Objective and Methods Ultra-wideband (UWB) radars can transmit electromagnetic waves that penetrate coal and rock media, thereby addressing the challenge of detecting and localizing personnel trapped in shielding environments during mine collapse. However, key parameters for UWB radar detection are difficult to determine due to complex mine environments, diverse media, and unclear dispersion characteristics. To deal with this issue, this study determined the frequency-dependent dielectric properties of various coal and rock media, as well as human tissues, through experiments and fitting. In combination with actual rescue scenarios, this study established the electromagnetic equivalent model of shielding environments in coal mines. …

Factors Influencing The Build-Up Rate Of Small-Diameter Rotary Steerable Systems In Underground Coal Mines, Yang Dongdong, Li Quanxin, Zhang Youzhen, Chen Long, Chu Zhiwei, Jiang Bici, Wang Bo, Yan Wenchao

Coal Geology & Exploration

Objective Intelligent drilling represents an important part of intelligent coal mine construction. However, measurement-while-drilling (MWD) directional drilling, the core of underground intelligent drilling operations, currently suffers from several limitations, including the high dogleg severity of wellbore trajectories, low drilling efficiency, and poor hard-rock penetration. Rotary steerable system (RSS) technology has emerged as a key approach to addressing these limitations owing to its high-precision control on drilling trajectories. Methods This study systematically analyzed the factors influencing the build-up rate of small-diameter, push-the-bit RSSs using a modified 3-point circle method and the longitudinal beam bending method. Through theoretical modeling, the coupled impacts …

Machine Learning-Based Diagnosis Of Fracture-Induced Lost Circulation And Intelligent Selection Of Lost Circulation Control Fluids, Sun Huan, Zhu Mingming, Wang Jinshu, Yao Lu, Zhou Fangfang, Tan Xuebin, Sun Yan, Qu Yanping, Chen Ning

Coal Geology & Exploration

Objective and Method Drilling operations in the Changqing area face several challenges in lost circulation, including complex types, significantly different characteristics, and difficulty in designing plugging formulations. To address these issues, this study proposes a DSX-Hybrid coupled intelligent decision-making framework, which serves as an integrated scheme to identify lost circulation channels, perform intelligent selection of plugging formulations, and offer recommendations on construction process. In this framework, given the scarcity of labeled log data, the density-based spatial clustering of applications with noise (DBSCAN) is employed to mine latent geological characteristics of unlabeled data. Then, the self-attention convolutional neural network (SACNN) is …

Fast-Track Ode: A Student-Centered, Game-Based Summer Differential Equations Course, Chamila D. Malagoda Gamage

CODEE Journal

This article describes a student-centered and game-based redesign of an Elementary Differential Equations course taught during a six-week summer session. In this compressed setting, students had to move through the standard course content quickly while still developing procedural fluency, conceptual understanding, and confidence with applications. To support these goals, the course used real-time feedback tools, collaborative problem solving, applications connected to students' fields, and mathematical games. The paper describes the course context, major activities, implementation details, and student feedback. Student responses suggest that the activities were well received and helped students stay engaged, participate regularly, prepare for exams, and see …

Reacquiring Satellites After Unknown Maneuvers In Sensor Blind Spots: A Physics-Informed Behavioral Framework For Closed-Loop Custody Recovery, Naushad Rahman, Niha Agarwalla, Hardik Patel

Small Satellite Conference

Operational problem

After a maneuver during a sensor blind spot, a pre­-gap catalog state may no longer be operationally sufficient. A null look at GS2 must become evidence for where the object could be­ – and where to task next – before access expires.

2026 Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

Insufficiently Reclaimed sites exist within the Butte Priority Soils Operable Unit (BPSOU) that could pose a threat to human health or surface water quality due to the exposure of historical mine waste. Although many source areas have been previously reclaimed, areas exist where reclamation was completed prior to the establishment of the Butte Hill Revegetation Specifications (BHRS) or reclaimed areas that have failed consecutive Butte Reclamation Evaluation System (BRES) inspections and now fall into either the Insufficiently Reclaimed or Reclamation Improvement category. In all these cases, additional work is required to comply with the BHRS to ensure the cap remains …