Digital Commons Network^™

Treatment Of Iraqi Municipal Wastewater By Up-Flow Anaerobic Sludge Blanket Reactor Uasb, Khairi R. Kalash, Majid A. Dixon, Hussein Ir. Sultan, Raad A. Ali

Engineering and Technology Journal

In this work, the Upflow Anaerobic Sludge Blanket “UASB” reactor treated effluent wastewater to investigate the process performance on a pilot plant scale. Municipal wastewater at high and medium strength with different organic load rate OLR (0.6-9) kg COD m-3day-1 with the flow of 20 l/h, up-flow velocity 0.4 m/h, hydraulic retention time HRT 9 h at a temperature of (20-30 ºC) was evaluated. The wastewater concentration, including TSS, COD was measured, and the removal efficiencies of chemical oxygen demand (COD) and total suspended solid TSS were calculated and summarized as 45-85% and 70-75%, respectively, depending on organic load rate …

A Brief Survey On Modern Iris Feature Extraction Methods, Hanaa M. Ahmed, Mohammed A. Taha

Engineering and Technology Journal

This paper presents a survey of some of the most recent research work on the extraction phase of the Iris recognition system. Iris biometric system has been used for person recognition in wide applications where person identity authentication required for its stability and uniqueness as compared to other biometric systems. Iris based recognition systems consist of stages are Iris localization, normalization, feature extraction, and matching. The extraction of features influences the precision and reliability of the biometric system, so several methods have been used.

Effect Of Pulse Electric Field On Water Characteristics As A Disinfection Function In Filtration Unit, Ghassan Abukhanafer, Alaa H. Al-Fatlawi, Hassan H. Joni

Engineering and Technology Journal

This paper studied the impact of the addition of pulse electric-filed low voltage (PEF-LV) in the filtration process by designing, constructing, and operating a pilot-scale. The Disinfectant process (DP) demonstrated several benefits in terms of efficiency and ease of application, without the use of any chemical additive. This system contains two pairs of silver mesh electrodes inside the filtration column test with a low pulse voltage for killing microorganisms. The parametric effects of DP performance, such as alternating current pulse frequency and the voltage applied were investigated. The effect of PEF-LV on the biological, physical, and chemical characteristic of water …

Influence Of Microfibers Additive On The Self-Healing Performance Of Mass Concrete, Alaa Z. Dahesh, Farhad M. Othman, Alaa A. Abdul-Hamead

Engineering and Technology Journal

Because cracks are the main problem of mass concrete, this paper investigates an experimental study on the effect of polypropylene microfiber (PPMFs) on self -repair behavior of mass concrete, through study the microstructure, workability, physical, and mechanical properties of mass concrete. PPMFs with a diameter of 18 μm add in different percentages (0, 0.5, 1 and 1.5) % of cement weight. Where the prepared mixture ratio was (1:2:4.8) and the water-cement ratio (W/C) was 0.4. Also, 0.6% of Superplasticizer (SP) % of cement weight to all concrete mixtures was added. In this study, an SEM analysis used to observe the …

Parametric Study On Buckling Behavior Of Aluminum Alloy Thin-Walled Lipped Channel Beam With Perforations Subjected To Combined Loading, Dalya S. Khazaal, Hussein M. Al-Khafaji, Imad A. Abdulsahib

Engineering and Technology Journal

The objective of the research presented in this paper is to investigate the buckling behavior of a perforated thin-walled lipped channel beam subjected to combined load. A nonlinear finite element method was used to analyze the buckling behavior of the beam. Experimental tests were made to validate the finite element simulation. Three factors with three levels for each factor were chosen to examine their influence on the buckling behavior of the beam and these factors are: the shape of holes, opening ratio and the spacing ratio of . The finite elements outcome was analyzed by using Taguchi method to identify …

Thermal Investigations Of Double Pass Solar Air Heater With Two Types Of Porous Media Of Different Thermal Conductivity, Jalal M. Jalil, Shrooq J. Ali

Engineering and Technology Journal

This study describes an experimental investigation of the thermal efficiency of stainless steel mesh and steel wool as a porous medium in the lower channel of a double pass solar air heater. An experimental setup was planned and developed. Various types of porous media with high thermal conductivity and with different porosities have been tested. The effects of the porosity of wire mesh, the thermal conductivity of porous media, mass flow rate, and the intensity of radiation have been studied. Experimental results show that thermal efficiency with using porous media is greater than without using porous media. When used steel …

Evaluation Of The Hydrodynamic Pressure Effect Of Cylindrical Liquid Storage Tank On The Granular Soil Behavior Under Seismic Excitation, Ahmed A. Hussein, Mohammed A. Al-Neami, Falah H. Rahil

Engineering and Technology Journal

Many liquid storage tanks around the world have been affected by earthquakes, and the seismic analysis of such tanks is much more complicated due to the Fluid-Structure Interaction. Besides, when the soil properties are taken into the consideration, the analysis with the Fluid-Soil-Structure Interaction becomes very complicated. In this paper, a series of shaking table tests are conducted on a model of the cylindrical water tank rested on dry granular soil and the equivalent load is considered to study the effect of hydrodynamic pressure generated in the storage water tank on the soil behavior. An experimental investigation of (1:100) scale …

Chemical Extraction Process For Producing High Purity Nanosilica From Iraqi Rice Husk, Sami A. Ajeel, Khalid A. Sukkar, Naser K. Zedin

Engineering and Technology Journal

Rice husk is considered a main agricultural waste in Iraq. High purity SiO2 NPs were produced from rice husk by enhanced precipitation and developed leaching processes for the preparation of silica from RH. In this study, pre-treatment for rice husk was with 3N HCl, and calcination at 700°C was achieved, then followed with a leaching process with (1.5, 2, 2.5, 3) N NaOH concentrations. The characterizations of the prepared SiO2 NPs were studied by X-ray fluorescence (XRF), X-ray diffraction (XRD), and atomic force microscopy (AFM). The results show that the prepared SiO2 NPs have an amorphous structure with a high …

Effects Of Evaporator And Condenser Temperatures On The Performance Of A Chiller System With A Variable Speed Compressor, Ahmed H. Al-Hassani, Alaa R. Al-Badri

Engineering and Technology Journal

The operation and performance of heat-pump systems are affected by indoor and outdoor operating conditions. Power consumption and system efficiency are related to evaporator and condenser working pressures. Intelligent controllers such as a proportional integral (PI) controller improve the performance of variable speed refrigeration systems (VSRs) with electronic expansion valve (EEV). Evaporator and condenser pressures affect the system power consumption and efficiency. In this study, the influence of evaporator and condenser temperatures on the performance of a variable speed refrigeration system with an EEV was experimentally investigated at constant cooling load. The experimental system comprises of a rotary compressor, shell-and-coil …

Experimental Investigation Of Thermosyphon Thermal Performance Using Different Filling Ratio, Talib Z. Farge, Samar J. Ismael, Rawad M.Thyab

Engineering and Technology Journal

The present work investigated the thermal performance of thermosyphon by using distilled water as a working fluid at different filling ratios (50%, 60%, and 70 %). The thermosyphon was manufactured from a copper tube with outer and inner diameters (26 and 24) mm, respectively. The thermosyphon was tested experimentally at different input power (100, 200 and 300) Watt. The operating temperature of the oil was chosen below 85°C. Experimental results revealed that the filling ratio of 60% exhibited the best heat dissipation at the highest operating temperature. While the low operating temperature and 50 % filling ratio show better heat …

Direct Shear Strength Of Rpc Member, Shahad Q. Madhlom, Hussein A. Aziz, Ammar A. Ali

Engineering and Technology Journal

In this research paper, results are obtained from Reactive Powder Concrete (RPC) push-off specimens - double L shape subjected to direct shear loading. Different parameters considered are compressive strength, percentages of steel fiber, presence of aggregate and shear reinforcement. The results show that increasing in steel fiber content starting from 0.0% and ending with 1.5% leads to increases in the shear strength by (261%) and attempt to decrease its brittleness. The presence of steel fiber content enhances and improves the tensile strength and the shear strength. Using RPC in constructing the specimens enhances the shear strength by 29.6% compared with …

Performance Evaluation Of Photovoltaic Panels By A Proposed Automated System Based On Microcontrollers, Mustafa Q. Ali, Monaf S. Tapoub, Hayder A. Dhahadc

Engineering and Technology Journal

In this paper, an automated test setup for PV panels using LabVIEW and several microcontrollers (μCs) based embedded systems has been designed, tested, and implemented. This PV testing system has been characterized as fully automated and the only human intervention required is to install the PV panel and to set the required testing conditions. Several PV panels were evaluated and tested, the obtained results showed a high degree of accuracy and conformity with several testing schemes that have been carried out numerically, manually and manufacturer specifications. The designed system is characterized by a high-performance standard with accuracy, precision, and resolution …

A Review On Microbial Fuel Cells, Baidaa A. Kitafa, Afaf J. Obaid Al-Saned

Engineering and Technology Journal

The Microbial Fuel Cell (MFC) is a bioreactor with which the chemical energy in chemical bonds of organic compounds are converted to electricity under anaerobic conditions through catalytic reactions of micro-organisms. It has been familiar for a long time that electricity can be generated directly through using bacteria to break organic matter. A microbial fuel cell can also serve in different wastewater treatment to destroy organic matter. The development of MFC technology requires a greater understanding of the microbial processes for MFCs, and their components, limitations, factors and design this system, to be simpler and large scale system developed; so …

Evaluation Of Gridded Precipitation Products And Machine-Learning Models For Rainfall Prediction In Arid Regions - Case Study In Qassim Region, Ksa, Ragab Rabeiy

Yanbu Journal of Engineering and Science

Receiving rainfall predictions in dry regions such as Saudi Arabia is challenging due to limited observational stations and the temporal and spatial variability of rainfall events. This study explores the performance of nine remote sensing rainfall datasets over the Qassim region of central Saudi Arabia. High-resolution rainfall data from ground-based sources were used to evaluate the accuracy of CHIRPS, TRMM, GPM, PERSIANN, CMORPH, CFSR, TerraClimate, TerraClimate_Monthly, and ERA5 datasets. Performance metrics such as R2, RMSE, MAE, and bias were calculated to quantify the accuracy of each dataset. Analysis revealed that ERA5 generally demonstrated better accuracy than the other datasets with …

Attention-Based Ensemble Deep Learning Model For Arabic And English Fake News Classification, Ameer Alhaq Alshamery

Journal of Intelligent Informatics, Networking, and Cybersecurity

It is difficult to classify articles as fake news since one article may consist of true facts with only some statements being fake. Moreover, classification becomes complicated for the Arabic language owing to its morphology and several ways of spelling, as well as the lack of well-classified and marked data sets. This paper presents an Ensemble Deep Learning Model (EDLM) used for Arabic and English fake news classification. The EDLM consists of CNN, Bi-LSTM with attention, and Bi-GRU with attention networks. Each of them produces one probability of the article, which is then summed up to a final probability via …

Novel Dynamic Batch-Sensitive Adam Optimiser For Vehicular Accident Injury Severity Prediction, Daniel Asare Kyei, Alimatu Saadia-Yussiff, Maame G. Asante-Mensah, Abdul Lateef-Yussiff, Charles Roland Haruna, Derry Emmanuel

Iraqi Journal for Computer Science and Mathematics

The choice of optimiser is important in deep learning, as it strongly influences model efficiency and speed of convergence. However, many commonly used optimisers encounter difficulties when applied to imbalanced and sequential datasets, limiting their ability to capture patterns of minority classes. In this study, we propose Dynamic Batch-Sensitive Adam (DBS-Adam), an optimiser that dynamically scales the learning rate using a batch difficulty score derived from exponential moving averages of gradient norms and batch loss. DBS-Adam improves training stability and accelerates convergence by increasing updates for difficult batches and reducing them for easier ones. We evaluate DBS-Adam by integrating it …

Genpix: A Diverse Dataset For Fake Image Detection, Guessoum Dalila, Benblidia Nadjia, Boumahdi Fatima, Remmide Mohamed Abdelkarim, Nouri Tarek-Amine, Bataouche Azeddine-Lotfi

Iraqi Journal for Computer Science and Mathematics

The rapid advancement of sophisticated generative models has intensified the need for robust fake image detection systems. However, many existing benchmark datasets suffer from limited diversity in content types and generation techniques, constraining the generalization ability of detection models. To address these limitations, we introduce GenPix (Generalized Pixels), a comprehensive dataset encompassing over 80,000 images spanning diverse categories, including faces, objects, and scenes, generated by multiple state-of-the-art models such as Generative Adversarial Networks (GANs) and diffusion-based architectures. The dataset includes samples from different generation methods to ensure broad coverage of fake image characteristics.

GenPix provides a realistic evaluation environment that …

Eyolov8-Msaff: An Enhanced Object Detection Algorithm With Multi-Scale Attention And Feature Fusion For Small And Dense Object Detection In Uav Applications, Mohammed Hasan Mutar, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

Iraqi Journal for Computer Science and Mathematics

The proliferation of unmanned aerial vehicles (UAVs) has necessitated the development of sophisticated object detection algorithms capable of handling the unique challenges posed by aerial imagery. Traditional detection methods often struggle with small object sizes, dense distributions, and complex backgrounds characteristic of UAV-captured scenes. This research presents EYOLOv8-MSAFF (Enhanced YOLOv8 with Multi-Scale Attention and Feature Fusion), a novel deep learning architecture specifically engineered for superior performance in UAV-based object detection tasks. The proposed methodology integrates four innovative components: a Hybrid Spatial-Channel Attention Mechanism (HSCAM) that processes attention information in parallel rather than sequentially, an Adaptive Multi-Scale Feature Fusion Module (AMSFFM) …

A Novel Hierarchical Multi-Scale Attention Mechanism For Enhanced Yolov8 Performance In Unmanned Aerial Vehicle-Based Small Object Detection, Mohammed Hasan Mutar, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

Iraqi Journal for Computer Science and Mathematics

Object detection in Unmanned Aerial Vehicle (UAV) images presents significant challenges due to the prevalence of small and densely packed objects, as well as variations in scale, orientation, and lighting conditions. This paper introduces a novel object detection algorithm, Hierarchical Multi-Scale Attention YOLO (HMSA-YOLO), which is an improved version of YOLOv8 designed to address these challenges. The proposed method incorporates a novel Hierarchical Multi-Scale Attention (HMSA) module, a Bidirectional Feature Pyramid Network (BiFPN) for enhanced feature fusion, a modified loss function, and an adaptive anchor optimization technique. The HMSA module effectively captures both channel and spatial dependencies at multiple scales, …

Automated Multimodal Synthesis And Native Ecosystem Handoff Of Artificial Intelligence Generated Knowledge Media To Shared Ambient Displays, Richa Gupta

Defensive Publications Series

The disclosed technology introduces a GenAI knowledge bridge that seamlessly translates customized Gen AI workspace outputs into a native, multimodal television experience for consumption by a user and other viewers. The GenAI knowledge bridge establishes a secure, authenticated, customized synthesized knowledge row for inclusion in a user interface of a homepage of a television application running on a computing device (e.g., a smart television). The GenAI knowledge bridge populates the customized synthesized knowledge row by way of a direct application programming interface (API) sync with a private GenAI workspace of the user. A visualizer engine running on the computing device …

Dynamic Media Device Power Management Using Proximity Inferred From Wireless Signals, Nikita Agarwal

Defensive Publications Series

Power management for media devices can be inefficient when a user is listening to audio content but is not actively viewing the display, potentially leading to increased energy consumption. Systems and methods can manage display power by inferring user proximity. The technology can utilize wireless signal characteristics, such as a received signal strength indicator from a user's personal peripheral device (e.g., a smartwatch, smartphone, or earbuds), to establish virtual zones around a media playback device. When the system infers that a user has moved from a viewing zone to a listening zone, it can automatically deactivate the display panel while …

System And Method For Available Cognitive Headroom Scoring And Predictive Task Orchestration In Multi-Agent Ai Systems, Ram Mohan R, Annu Rani Mahto, Anis Edavalath, Aparna Raj K, Sridhar D

Defensive Publications Series

Traditional load-balancing techniques for multi-agent artificial intelligence (AI) systems are insufficient because they rely on infrastructure metrics rather than an agent's actual reasoning capacity. Proposed herein is a mechanism that addresses this gap by introducing an Available Cognitive Headroom (ACH) score, which enables predictive, capacity-aware routing that ensures agents are not cognitively overloaded before tasks are dispatched.

Hotter Than The Fire: Analysis Of Indonesia's Forest And Peatland Fire Policy Contention, 2015–2024, Dede Setiono, Nunuk Retnandari, Putri Wulandari

Forest and Society

The catastrophic forest and peatland fires of 2015 served as a critical juncture for Indonesia, catalyzing an unprecedented wave of policy reforms aimed at fire prevention and ecosystem restoration. Despite this, major fire events recurred in 2019 and 2023, exposing a persistent gap between policy ambition and on-the-ground reality. This article investigates the underlying reasons for this continued policy failure. This study employs a qualitative, interpretive approach, drawing on 25 in-depth, semi-structured interviews with key stakeholders across government, the corporate sector, civil society, and local communities conducted between 2023 and 2024. The analysis reveals that Indonesia's fire crisis is not …

Selective Factors Impacting Charter High School Enrollment, Nathan Marshall

Theses and Dissertations

This study examined factors influencing high school choice among Utah families, comparing parent priorities between charter and traditional public high schools. Using one-way ANOVA with Tukey honestly significant difference (HSD) post hoc comparisons, parental priorities were analyzed across personal, school community, and academic factors. Parents choosing traditional public high schools rated personal and school community factors significantly higher, emphasizing relationships and school climate, while charter high school parents rated academic factors significantly higher, favoring rigor and instructional quality. Charter parents' priorities were not uniform, however, but varied significantly by school model, suggesting that the charter-versus-traditional divide masks meaningful differences within …

A Mathematical Decision-Making Framework For Athlete Development In A Collegiate Taekwondo Community: Prioritizing Coaching Interventions Using Statistical Analysis And The Analytic Hierarchy Process, King Harold A. Recto, Hazel Jade L. Antonio, Jhyrald Anthony P. Dalida

Electronics, Computer, and Communications Engineering Faculty Publications

Athlete development within collegiate sports communities requires informed decisions regarding the prioritization of coaching interventions and allocation of developmental resources. However, such decisions are frequently guided by experience and intuition, limiting opportunities for systematic and evidence-based decision-making. This study develops a mathematical decision-making framework for athlete development by integrating statistical analysis and the Analytic Hierarchy Process (AHP) within a collegiate taekwondo community. Data were collected from 25 collegiate taekwondo athletes who satisfied established eligibility criteria, including participation in University Athletic Association of the Philippines (UAAP) competitions during the previous three seasons. Athletes evaluated coaching practices across five dimensions: Training and …

Unscripted Urban Interior, Paramita Atmodiwirjo, Yandi Andri Yatmo

Interiority

The urban interior has emerged as a site of unscripted performance. The unscripted urban interior can be understood as a dynamic field where spatial conditions, social practices, and temporal change interact to produce emergent and contingent spatial realities beyond the original script. Through unscripted performance, the urban interior becomes a site of transformative potential, where various forms of practices emerge to transform, appropriate, and mediate the situations. The articles in this Interiority issue highlight the indeterminate characters of the urban interior and the possible transformation practices emerging from such urban contexts through various techniques and media that create distinctive values …

Unplanned Public Nature Interiority, Kendra Locklear Ordia

Interiority

This paper advances a theory of urban interiority through the concept of public nature interiority, integrating ecological thinking into the spatial, sensory, and temporal conditions of exterior spaces that feel interior. Drawing on works by Tine Poot, Richard Sennett, Liz Teston, and Suzie Attiwill, it challenges binary distinctions between interior and exterior, emphasising relational and dynamic urban conditions. Using Attiwill's notions of collective individuation and an ecology of subjectivity, interiority is reframed as being shaped not only by human perception and experience with nature but also by biotic relations and multispecies interactions. The theory is situated within terrain vague—indeterminate, overlooked …

Bridging Intelligent Optimization And Knowledge-Based Planning: A Retrospective Evaluation Of Ioe And Rapidplan Models For Ethos Lung Adaptive Radiotherapy, Anna Katherine Robbins

Masters Projects

Adaptive radiotherapy (ART) and knowledge-based planning (KBP) have independently improved treatment planning quality and efficiency; however, limited evidence exists regarding their combined use within the Varian Ethos planning system. This retrospective study evaluated whether an institution-specific Ethos-trained RapidPlan model improved dosimetric plan quality compared with Intelligent Optimization Engine (IOE) optimization alone and a publicly available Eclipse-trained RapidPlan model for right-sided non-small cell lung cancer. Ten patients previously treated with adaptive radiotherapy were replanned using three planning approaches: IOE optimization alone, IOE with a generic RapidPlan model, and IOE with an institutional Ethos-trained RapidPlan model. Target coverage, homogeneity, and organ-at-risk (OAR) …

Mobility-Restricting Covenants In Business Contracts: The Case Of Franchising, Francine Lafontaine, Lorenzo G. Luisetto, J.J. Prescott

Articles

Several studies show that restrictive covenants in employment contracts, such as non-compete agreements, may affect employees in detrimental ways, including by reducing mobility and suppressing wages. While such concerns are real, these clauses also have the potential to serve legitimate business purposes by helping companies protect valuable information, which can encourage investment and training and enhance social welfare. This paper explores the use of several types of covenants, including non-competes but also confidentiality and post-relationship non-recruitment clauses, in franchise contracts, an important and accessible category of business contracts. Many of these contracts impose restrictive covenants on franchisees but also on …

Exploring University Nursing Students’ Experiences Of Cross-Disciplinary Courses: A Qualitative Study, Hsueh-Wen Chung, Li-Yin Chien

International Nursing Research Congress (INRC)

Background: Cross-disciplinary education is increasingly emphasized in nursing programs to prepare students for complex professional roles, yet little is known about their actual learning experiences. This study aimed to evaluate the learning outcomes of cross-disciplinary education among undergraduate nursing students and explore how such experiences influence their professional perspectives and career development.

Methods: Using a semi-structured, in-depth interview design, this study purposively recruited 13 nursing students who had participated in cross-disciplinary programs at a top research university in Taiwan. Only those students with a GPA of >3.38 were allowed to apply for cross-disciplinary programs. Data were analyzed using thematic analysis. …