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Articles 1771 - 1800 of 197941
Full-Text Articles in Engineering
Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang
Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang
Research Collection School Of Computing and Information Systems
Regular maintenance during non-traffic hours (NTH) is vital for the resilience of urban rail transit (URT) systems, yet an insufficient NTH maintenance window poses a challenge for URT systems in various cities. For instance, the Hong Kong MTR Corporation has noted that the required NTH maintenance time often exceeds the available window, prompting service adjustments such as earlier late-night closures and/or later early-morning starts. To address this challenge, this study develops an optimal scheduling framework that links late-night and early-morning URT services through the NTH maintenance window requirement to maximize public welfare. A Decoupled Optimization Model (DOM) first derives closed-form …
Interfacial Redox Mediation By Amine/Alkyne-Functionalized Silicon Nanoparticles: Surfactant-Free Gold Nanoparticle Synthesis, Amber L. Garcia, Brittany Griggs, Brian S. Mitchell, Mark J. Fink, Julie P. Vanegas
Interfacial Redox Mediation By Amine/Alkyne-Functionalized Silicon Nanoparticles: Surfactant-Free Gold Nanoparticle Synthesis, Amber L. Garcia, Brittany Griggs, Brian S. Mitchell, Mark J. Fink, Julie P. Vanegas
Physics & Astronomy Faculty Publications
We develop a surfactant-free synthesis method for gold nanoparticles (AuNPs) using 2-propynylamine-functionalized silicon nanoparticles as integrated redox-active supports. Surface-anchored amine groups act as built-in reducing sites for Au3+ precursors at the hexane–water interface under ambient conditions, enabling in situ AuNP nucleation and growth. Time-resolved UV-vis spectroscopy and dynamic light scattering track the emergence of plasmonic AuNPs, while quantitative morphology analysis reveals a final population dominated by spherical and near-spherical nanoparticles (∼74%), with faceted polyhedral structures (∼4%) and dendritic, hollow, irregular, and rod-like morphologies (∼22%) as minority species. The temporal evolution proceeds from early dendritic and irregular aggregates to a …
Design And Evaluation Of A Distributed Ticket Booking System Using Cqrs And Hybrid Consistency Models, Tai Nguyen Vo, Sangwhan Cha
Design And Evaluation Of A Distributed Ticket Booking System Using Cqrs And Hybrid Consistency Models, Tai Nguyen Vo, Sangwhan Cha
Harrisburg University Other Works
This paper presents the design and evaluation of a Distributed Ticket Booking System (DTBS) built to handle extreme concurrency in high-traffic digital environments. Motivated by real-world failures such as the 2022 Taylor Swift Eras Tour sale—where 14 million simultaneous requests overwhelmed Ticketmaster—the system addresses the fundamental conflict between strong consistency and high availability under massive demand. The proposed solution adopts the Command Query Responsibility Segregation (CQRS) pattern to decouple read and write operations, and applies a hybrid consistency model grounded in the CAP theorem: a CP-oriented booking subsystem with Redis-based distributed locking, and an AP-oriented search subsystem using Elasticsearch for …
The Privacy Trap: Keeping Sensitive Data Safe In The Ai Era, Xiaohui Liang
The Privacy Trap: Keeping Sensitive Data Safe In The Ai Era, Xiaohui Liang
Paul English Applied Artificial Intelligence (AI) Institute Publications
This presentation examines privacy and data security risks associated with the growing use of artificial intelligence, with particular attention to the sensitive information users may disclose when interacting with AI systems. It explores how voice, text, images, and prompts can expose personally identifiable and privacy-sensitive information and introduces privacy threats associated with large language models and other AI systems. The presentation discusses approaches for identifying and protecting sensitive information, including named entity recognition, prompt modification, masking, replacement, and other privacy-preserving techniques. It also examines the trade-off between protecting privacy and maintaining the usefulness of AI-generated responses. Drawing on research in …
Confidenceai: A Wearable And Predictive Ai Ecosystem, Denzil Paul, Xuejun Kong, Raymond Wang, Flora Fleith Lopes, Zhengjia Yang, Brain Chu, Weijian Wang, Leo Chen
Confidenceai: A Wearable And Predictive Ai Ecosystem, Denzil Paul, Xuejun Kong, Raymond Wang, Flora Fleith Lopes, Zhengjia Yang, Brain Chu, Weijian Wang, Leo Chen
Paul English Applied Artificial Intelligence (AI) Institute Publications
This group project presents ConfidenceAI, a conceptual wearable and predictive artificial intelligence ecosystem designed to help teenagers build confidence and manage stress in high-pressure situations such as classroom participation and public speaking. The system combines wrist-based biosensing with a personalized machine-learning model that uses physiological signals, including heart rate and heart rate variability, electrodermal activity, skin temperature, and movement, to learn an individual's baseline patterns and anticipate heightened stress responses. Rather than relying on universal thresholds, ConfidenceAI is designed to personalize the timing, method, and delivery of interventions based on each user's physiological patterns and prior responses. The proposed ecosystem …
Actioncaptions: Making Movies, Shows, And Daily Life Accessible For All, Haruna Hosokawa, Rhianon Gutierrez, Matt Davis, Justin Wang, Eric Gu, Arthur Miao, Andrew Duan, Perry Yu, Ziqi Yan, Susie Yan
Actioncaptions: Making Movies, Shows, And Daily Life Accessible For All, Haruna Hosokawa, Rhianon Gutierrez, Matt Davis, Justin Wang, Eric Gu, Arthur Miao, Andrew Duan, Perry Yu, Ziqi Yan, Susie Yan
Paul English Applied Artificial Intelligence (AI) Institute Publications
This group project presents ACTIONCAPTIONS, a proposed downloadable application or web application designed to improve access to audio content through customizable captioning. The project addresses limitations associated with existing captioning options in settings such as movie theaters, including limited device availability, cumbersome equipment, lack of portability, and the absence of live captioning capabilities. ACTIONCAPTIONS proposes a free and accessible platform that provides both live transcription and captioning for uploaded files. The application incorporates customizable settings for user preferences, including caption size, color, contrast, and language, and is designed around principles of accessibility and universal design. The project demonstrates how speech …
Veribrief: A Multi-Agent Retrieval-Augmented Generation System For Policy Decision Support, Imane Bahji
Veribrief: A Multi-Agent Retrieval-Augmented Generation System For Policy Decision Support, Imane Bahji
Electrical and Computer Engineering ETDs
VeriBrief is a multi-agent retrieval-augmented generation (RAG) system for evidence-grounded economic policy analysis. The system orchestrates a five-stage LangGraph pipeline, retrieval, research, analysis, synthesis, and critique, to produce cited, structured responses while detecting out-of-scope queries. An empirical evaluation on eight questions drawn from official U.S. macroeconomic releases compared VeriBrief against a single-pass RAG baseline. The multi-agent system achieved 100% refusal precision on unanswerable analytical queries versus 0% for the baseline. Unsupported claims fell substantially on answerable factual questions. A context-propagation defect discovered during evaluation was diagnosed and corrected. Limitations include failure of the evidence gate on policy-counterfactual queries and a …
Examining Data Richness In Undergraduate Students’ Reflections: A Linguistic Analysis Of Three Data Collection Methods, Kirsten A. Davis, Anne Wrobetz
Examining Data Richness In Undergraduate Students’ Reflections: A Linguistic Analysis Of Three Data Collection Methods, Kirsten A. Davis, Anne Wrobetz
School of Engineering Education Faculty Publications
Researchers select data collection methods for a variety of reasons. In our research on experiential education programs, we perceived that when we collected students’ reflections using different methods, the data we received was different. However, we found few existing studies to help us characterize what was different across our data sets to inform our decisions about which methods to use. Thus, the purpose of our study was to compare data richness across three data sets from previous studies of engineering students studying abroad, each collected using a different method (written diaries, interviews, video diaries). We used linguistic inquiry as a …
Artificial Intelligence Based Predictive Simulation And Decision-Support Framework For Full Scale Wastewater Treatment Systems, Muhammad Hassnain, Cameron Veal, Sarada M.W. Lee, Muhammad Rizwan Azhar
Artificial Intelligence Based Predictive Simulation And Decision-Support Framework For Full Scale Wastewater Treatment Systems, Muhammad Hassnain, Cameron Veal, Sarada M.W. Lee, Muhammad Rizwan Azhar
Research outputs 2022 to 2026
Full scale wastewater treatment plants (WWTPs) generate extensive sensor and laboratory datasets that remain challenging to translate into real-time operational insight, while increasing hydraulic variability, energy constraints, tightening effluent regulations, and events such as sensor faults, hydraulic shocks, and effluent-quality excursions require predictive decision-support tools beyond conventional mechanistic modelling. This study presents a full-scale, industry-deployed artificial intelligence (AI) framework integrating machine learning (ML), simulation, and operational boundary definition across a nitrogen-removal WWTP in Australia. Up to nine years of high-frequency online instrumentation data (≤419,000 records per target; 5–30 min resolution) and ~3000 laboratory samples were used to train and evaluate …
Dimpled Surfaces For Thermal Performance Enhancement In Solar Collectors, Furqan Jamil, Baig, Amna Adil, Aasia Farrukh
Dimpled Surfaces For Thermal Performance Enhancement In Solar Collectors, Furqan Jamil, Baig, Amna Adil, Aasia Farrukh
Research outputs 2022 to 2026
With escalating environmental concerns, solar energy is a feasible approach to support a sustainable environment, considering the pressing need to move away from fossil fuels. Optimizing solar collector’s efficiency improves energy capture and lowers carbon emissions. One innovative technique is to the surface of solar collectors. The heat transfer is greatly increased by adding such tiny indentations, encouraging turbulence in the incoming working fluid. The article reviews the effect of dimples on the efficiency of various collector applications, including flat plate collector, solar water heaters, solar air collectors, parabolic trough solar collectors, photovoltaic thermal systems, desalination, and many others. The …
Constrained Assortment Optimization Under The Mixed-Logit Model, Hoang Giang Pham, Tien Mai
Constrained Assortment Optimization Under The Mixed-Logit Model, Hoang Giang Pham, Tien Mai
Research Collection School Of Computing and Information Systems
In this paper, we study the assortment optimization problem under the mixed-logit customer choice model. While assortment optimization has been a central topic in revenue management for decades, the mixed-logit model is widely regarded as one of the most general and flexible frameworks for modeling and predicting customer purchasing behavior. The assortment optimization problem is known to be NP-hard to be approximated to any constant factor, even in the unconstrained case. To address this challenge, we first explore the submodularity properties of a simplified version of the objective function to derive novel semi-constant factor approximation solutions for assortment problems under …
The Voice Of The Flow: A Graph-Based Approach For Step-Wise Explanations Of Constraint Satisfaction Problems, Minh Anh Nguyen, Tien Mai, Hoong Chuin Lau
The Voice Of The Flow: A Graph-Based Approach For Step-Wise Explanations Of Constraint Satisfaction Problems, Minh Anh Nguyen, Tien Mai, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
Stepwise explanations are an important tool for interpreting constraint programs. Existing methods rely heavily on repeated minimal unsatisfiable subsets (MUS) extraction or intensive SAT-based propagation, which are computationally prohibitive for large-scale problems with complex constraints. We propose a novel framework leveraging Multi-Valued Decision Diagrams (MDDs) to overcome these bottlenecks. By decomposing CSPs into smaller, graph-based subproblems compactly represented as MDDs, we enable highly efficient constraint propagation through network-flow reformulation. To further enhance efficiency, we propose a Divide-and-Conquer approach to improve the search for minimal explanation steps. Furthermore, we utilize the MDD’s network-flow structure to generate nested explanations that break down …
A Century Of Safer Skies: Statistical Insights Into Aviation Accidents And Death Rates, Abhijeet Regmi
A Century Of Safer Skies: Statistical Insights Into Aviation Accidents And Death Rates, Abhijeet Regmi
Journal of Aviation Technology and Engineering
The purpose of this study is to determine whether the recent advancements in the technology used for aircraft maintenance and repair have resulted in an increase or decrease in the accident and fatality rates of aviation incidents and accidents. The primary concerns are the extremely low survival rates in aviation accidents and the necessity to determine whether or not the accident and fatality rates are declining in light of recent technological advancements. If the rate is rising, we must prioritize passenger and crew safety more and adhere to tight regulations when performing repairs and maintenance. The data were compared for …
The Open Wiki Of Electrochemical Methods (Owem): A Community-Driven Educational Resource, Anderson Fuller, Devin Rappleye
The Open Wiki Of Electrochemical Methods (Owem): A Community-Driven Educational Resource, Anderson Fuller, Devin Rappleye
Reviews, Analyses, and Instructional Studies in Electrochemistry (RAISE)
The traditional resources for learning electrochemical methods—textbooks, academic literature, and university coursework—remain essential but are limited in accessibility, update frequency, and practical usability. This paper introduces the Open Wiki of Electrochemical Methods (OWEM), an open-access, community-driven platform designed to complement these resources. OWEM organizes content into equations, definitions, methods, tutorials, and supplementary articles, with a heavy emphasis on experimental relevance. A case study on cyclic voltammetry demonstrates how OWEM consolidates foundational theory, lesser-known results, and practical guidance within a continuously maintainable framework to benefit the broader electrochemistry community.
Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade
Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade
Journal of Pre-College Engineering Education Research (J-PEER)
Precollege students in Indonesia, especially in rural and coastal regions, often lack exposure to engineering disciplines due to social, geographic, and informational barriers. This essay proposes a conceptual model of alumni-led near-peer outreach as an affective and culturally grounded mechanism to engage high school students in ocean engineering. Drawing from theories of social similarity, possible selves, and engineering identity, the model conceptualizes alumni as “aspirational mirrors” who influence students not merely through information but also through identification. The model outlines four primary mechanisms—social connection, narrative engagement, aspirational mirroring, and early identity activation—and also accounts for contextual variables such as school …
Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa
Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa
BAU Journal - Science and Technology
A comprehensive evaluation of current and novel diagnostic techniques is necessary since the diagnosis of breast cancer is essential for improving treatment efficacy and raising long-term survival. Evidence from conventional imaging methods including mammography, ultrasonography, and magnetic resonance imaging is combined in this systematic review with advancements in liquid biopsies and current AI-based diagnostic tools. Using specific keywords related to breast cancer, early detection, imaging, biomarkers, and artificial intelligence, a thorough search was conducted in PubMed, Scopus, Web of Science, and IEEE Xplore. Reviews, case reports, and studies unrelated to breast cancer were excluded; only clinical, experimental, and computational research …
Optimize Optical Properties Of Cdte Solar Cell For Pv Applications, Mabrouk Hassan Arhoma
Optimize Optical Properties Of Cdte Solar Cell For Pv Applications, Mabrouk Hassan Arhoma
BAU Journal - Science and Technology
In order to to develop thin film heterojunction solar cells, CdTe is one of the most promising absorber materials cells. Electrodeposition CdTe materials solar cell are being focused by Several key researchers. This is due to its direct energy band gap and its high absorption coefficient and the best efficiency obtained for a small-area. In this work CdTe films were electrochemically deposited from aqueous solutions. Different preparative parameters such as growth voltage and heat treatment conditions were optimized. The CdTe layers were deposited at 655, 665, 675, 685 and 695 mV vs SCE. Material characterization were carried out using optical …
Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda
Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda
BAU Journal - Science and Technology
High level of safety risk on road construction projects remains a major concern for all industry stakeholders, as safety of workers is paramount to achieving project success. Managing construction safety requires a more comprehensive approach. New technologies have recently emerged to enhance construction safety. This study examines the level of adoption and barriers to the implementation of these technologies in safety risk management on road construction sites in Lagos, Nigeria, with a view to improving the safe delivery of the road projects. A questionnaire was designed and administered to two engineers and one worker randomly selected on each of sixty-one …
Compound Role Of Using Advanced Materials And Design Procedures On Improving The Performance Of Baghdad Buildings Facades, Abeer Qasim Jbur
Compound Role Of Using Advanced Materials And Design Procedures On Improving The Performance Of Baghdad Buildings Facades, Abeer Qasim Jbur
Al-Esraa University College Journal for Engineering Sciences
The research idea addresses improving the thermal performance of buildings in Baghdad by selecting and employing facade materials to reduce heat gain and energy consumption associated with cooling in a hot-dry climate. The study discusses the pivotal role of facade materials in interacting with solar radiation, heat transfer, and inward thermal transmittance, as well as their capacity to store and release heat in ways that maintain thermal comfort within architectural spaces and reduce reliance on mechanical cooling systems. A range of traditional materials such as stone, earth, and concrete is presented alongside modern materials like high-performance glass and thermal storage …
Current Condition Of The Holy Kadhimiya Shrine Surveying Using A Gpr, Israa Hatem
Current Condition Of The Holy Kadhimiya Shrine Surveying Using A Gpr, Israa Hatem
Al-Esraa University College Journal for Engineering Sciences
This study describes the extensive survey of the Holy Kadhimiya Shrine in Baghdad, Iraq, carried out with the use of a non-invasive geophysical instrument called Ground Penetrating Radar (GPR) to assess the conditions of subsurface and the condition of the infrastructure in the site. The total area of the shrine is 19,575 m2 that was systematically studied with the help of internal measures, satellite imagery and radar profiling. The frequency antennas used for the GPR survey were the 250 MHz, 500 MHz, and 800 MHz which have a penetration depth of 1-15 m. Specialized software packages (Ground Vision, Reexplore …
Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq
Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq
Al-Esraa University College Journal for Engineering Sciences
Android malware is not only increasing in size and sophistication but is also a challenge to be detected on a large scale. Static analysis is popular due to its ability to detect malware without running applications or tracing run-time events. However, features, datasets, labeling methods, and assessment methodology differ, which makes studying performance difficult. This is a systematic study of 78 peer reviewed articles written between 2021 and 2026 regarding the Android malware detection by static analysis. In each of the studies, the current survey cover the following feature source, feature representation and engineering, learning paradigms, datasets and labeling methods, …
Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji
Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji
Al-Esraa University College Journal for Engineering Sciences
Spatial thinking constitutes a core cognitive ability in early architectural design education, enabling students to interpret, organize, and transform spatial relationships into coherent architectural configurations. Despite its importance, studio practice often indicates that first-year students rely on surface-level representation rather than engaging in structured spatial reasoning, which leads to fragmented compositions and weak spatial coherence. Accordingly, this study investigates the following research question: To what extent can guided mind mapping support the development of spatial thinking in early architectural design studios? A quasi-experimental design was adopted to examine the impact of structured visual–cognitive guidance on students' spatial reasoning. The study …
Multiaxial Stress And Deformation Analysis In Mechanical Structures Under Variable Dynamic Loads, Aqeel Naeem Fareed Al-Khafaji
Multiaxial Stress And Deformation Analysis In Mechanical Structures Under Variable Dynamic Loads, Aqeel Naeem Fareed Al-Khafaji
Al-Esraa University College Journal for Engineering Sciences
Piping supports in gas and process facilities in Iraq are routinely exposed to operational vibration and moderate seismic actions, creating multiaxial, variable dynamic loads that are not fully captured by conventional uniaxial, static design checks. Welded brackets, in particular, are prone to local stress concentration and fatigue at weld toes. This study aims to quantify the multiaxial stress and deformation response of a welded steel pipeline support bracket under variable dynamic loading and to assess the implications for structural integrity and design practice. It was demonstrated by the development and validation of a three-dimensional finite element model of a bracket-pipe …
Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid
Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid
Al-Esraa University College Journal for Engineering Sciences
Achieving consistent surface integrity in CNC milling under varying materials and degraded tool conditions remains a critical challenge because fixed cutting parameters often induce regenerative chatter, accelerate tool wear, and cause surface and subsurface damage. This paper presents an integrated solution that combines an Ensemble Digital Twin (EDT), real-time in-process vibration monitoring, and a hybrid adaptive controller to maintain high surface quality while preserving productivity. The EDT fuses a physics-based milling dynamics model with a recurrent LSTM surrogate through a context-aware meta-learner that weights model outputs by process state (e.g., tool wear, engagement). A compact real-time monitoring pipeline computes a …
Evaluation Of Mimo Antenna Configurations For High Data-Rate Systems, Ammar Abdulimam Abbood
Evaluation Of Mimo Antenna Configurations For High Data-Rate Systems, Ammar Abdulimam Abbood
Al-Esraa University College Journal for Engineering Sciences
This paper introduces a new design of cat-shaped antenna in super wideband (SWB) and high data-rate multiple input multiple output (MIMO) systems. The single-element SWB antenna has a wide frequency range of 2.23 GHz up to more than 100 GHz with outstanding bandwidth ratio (BW Ratio = 44.84:1), fractional bandwidth (FBW = 191%), bandwidth dimensional ratio (BDR = 5567) and a peak gain of 9.52 dB. The single antenna was also expanded to 2 × 2 MIMO array to further improve performance on multipath environments. Measurements and simulation show very good results using radiation patterns, isolation, channel capacity loss (CCL), …
Enhancement Of Tribological Behavior Of Rotating Bearings Using Advanced Ceramic Compounds Via Thermal Spray Techniques, Amjid Shihab Abdul Jaleel
Enhancement Of Tribological Behavior Of Rotating Bearings Using Advanced Ceramic Compounds Via Thermal Spray Techniques, Amjid Shihab Abdul Jaleel
Al-Esraa University College Journal for Engineering Sciences
Rotating machines constitute the main part of the most important industrial sectors in Iraq such as oil and gas production, power generation, and manufacturing. The harsh operating conditions however, in the form of high temperatures, corrosive agents and abrasive particulates are causes of premature failure of crucial components such as journal bearings. This study examines the improvement of tribological characteristics of normal steel journal bearings using superior ceramic coating using thermal spray. In particular, atmospheric plasma spray (APS) was used to deposit Alumina-Titania (Al2O3–TiO2) and Zirconia (ZrO2)coating on A106 Grade B carbon …
Effect Of Nano-Additives On Fracture Toughness Of Engineering Materials: An Experimental Study, Humam Ahmed Awad
Effect Of Nano-Additives On Fracture Toughness Of Engineering Materials: An Experimental Study, Humam Ahmed Awad
Al-Esraa University College Journal for Engineering Sciences
Structural integrity and service life of engineering components is based on fracture resistance. The paper presents an experimental study on the nano-additive that can be added to the locally-produced Iraqi engineering materials in order to enhance their fracture toughness. The research was inspired by the increasing demand in high-performance materials in the main sectors of the country such as infrastructure and energy besides the need to improve the properties of local resources. The tested material systems were two Portland cement composites and epoxy-based polymers. Nano-silica (n-SiO2 nano-alumina (n-Al2O3) and multi-walled carbon nanotubes (MWCNTs) were added …
Experimental Study Of The Effect Of Nano-Doping On The Electrical And Thermal Properties Of Organic Semiconductors, Zainab Abdulateef Rashad
Experimental Study Of The Effect Of Nano-Doping On The Electrical And Thermal Properties Of Organic Semiconductors, Zainab Abdulateef Rashad
Al-Esraa University College Journal for Engineering Sciences
This paper has introduced an experimental research case on the impact of nano-doping on electrical and thermal characteristics of organic semiconductor thin-film. The overall goal of the study is to study the effect of controlled addition of nano-dopants on charge transport characteristics and thermal stability that are important criteria in organic electronic device applications. Solution-based deposition was used to produce the thin films at a different concentration of nano-dopant and, systematic electrical and thermal measurements were carried out under controlled laboratory conditions. Electrical characterization showed that there was high improvement of electrical conductivity as the nano-dopant concentration was high, especially …
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
Al-Esraa University College Journal for Engineering Sciences
In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …
Improvement Of Mechanical And Corrosion Properties Of Weld In Stainless Steel In Crude Oil Tank By Using Nano-Fillers, Ali Abdulzahra Shanshoon
Improvement Of Mechanical And Corrosion Properties Of Weld In Stainless Steel In Crude Oil Tank By Using Nano-Fillers, Ali Abdulzahra Shanshoon
Al-Esraa University College Journal for Engineering Sciences
The aim of this study is to investigate the corrosion behavior and mechanical properties of welded steel exposed to gases emitted from crude oil reservoirs. In this study, two types of nanoparticles were used as fillers during welding to improve corrosion and mechanical properties. TiO2 and SiO2 nanoparticles were mixed with soldering oil in four mass concentrations of 0, 1, 2.5 and 5% by ultrasonic bath method and used as filler during the welding process. In order to prepare the samples, plain carbon steel with a thickness of 3 mm was used and they were welded together by …