Engineering Commons^™

Robot Path Planning Optimization Based On Fusion Of Improved Ant Colony Algorithm And A* Algorithm, Lanying Yang, Chao Li, Haifeng Zou, Jiangtao Wan, Renqiang Zhang, Hui Liu, Hong Lu

Journal of System Simulation

Abstract: To improve slow search efficiency and achieve real-time obstacle avoidance in traditional ant colony algorithms, an adaptive ant colony algorithm was proposed. A guidance direction mechanism was introduced to shorten the time of node selection. The A* algorithm's path-finding mechanism was introduced into the heuristic function to reduce the length and number of circles of the optimal path solution. The route planned by the traditional A* algorithm was used as the initial iteration data of the ant colony algorithm in global path planning, so as to solve the problem of slow initial convergence of the ant colony algorithm. The …

The Impact Of Domed Architecture On The Architectural Character Of Western Desert Oases, Nader Mohamed Gharib, Mo’Men Abdelqader, Yousab Magdy Shafik

Mansoura Engineering Journal

The visual disharmony arising from the indiscriminate and architecturally unplanned integration of curved roofing elements, notably domes, into the built environment of the Western Desert oases has become a significant issue, particularly in the Siwa Oasis, where the adoption of domed architecture was first introduced in the village of Jafar in 1997. This research delves into a detailed study that focuses on how pivotal historical, cultural, environmental, aesthetic, functional, and technical factors have crucially shaped the widespread integration of these iconic curved roofing superstructures in the oases' architectural heritage over generations, contributing to the uniquely recognizable architectural character and sense …

Seismic Responsive Buildings: Comparison Between Egyptian Code 2012 With Different International Codes For Seismic Structural Irregularities At Architectural Design, Aya Abd El Ghaffar Mohamed, Mohamed Anwar Mohamed Fikry, Mai Mohamed Abdo

Mansoura Engineering Journal

Seismic codes are laws and regulations that establish the basic requirements for building structures that can withstand seismic activity. Each country has different restrictions under different subheadings, depending on the seismic history of the region and the economic situation of the country. "Structural irregularity" is the most significant aspect of earthquake codes contributing to architectural design. A regular design of a structure leads to more rational behavior during earthquakes, enhancing resistance to dynamic loads and economic performance in comparison to irregular buildings. Architects must understand how earthquakes impact structures, as the structural system shapes the building's form and aesthetics, and …

How Can Smart Resilience Cities Provide Sdgs? An Integrative Framework Regarding Climate Change Mitigation, Asmaa M. Hassan, Manar A. Kotb

Mansoura Engineering Journal

Urbanization and climate change influence public health and wellbeing, which presents challenges facing architects and urban planners towards providing sustainable and resilient cities. In this context, smart city concept has been adopted to contribute to mitigating such influence. This study aims to conduct a bibliometric analysis within the previous scope. Then an integrative framework for climate change mitigation towards resilient smart cities based on SDGs is accomplished. The results indicate that further efforts are needed to develop “smart tools”, “urban economy”, and “carbon footprint. In addition, the proposed framework provides a significant paradigm shift towards mitigation of climate change impacts, …

A Novel Hybrid Intrusion Detection Model: A New Metaheuristic Approach For Feature Selection Based On Ai Techniques For Cyber Threat Detection, Maryam Mahdi Alhusseini, Alireza Rouhi

Iraqi Journal for Computer Science and Mathematics

The rapid increase in internet usage, digital transformation, and the rise of interconnected devices have greatly expanded the attack surface, introducing new and evolving cybersecurity challenges. Conventional security solutions frequently have difficulty adjusting to complex threats and the vast dimensionality of network traffic data, particularly in the case of imbalanced datasets. To tackle these challenges, this research introduces a Hybrid Intrusion Detection System (HyIDS-EVO) that combines the Energy Valley Optimizer (EVO) for feature selection and dimensionality reduction with machine learning classifiers, which include Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN). The system’s effectiveness …

Spatially Mapped Statewide Estimated Potential Evapotranspiration Using An Efficient Surface Interpolation Method: A Case Study Of South Carolina, Sudhanshu S. Panda, Devendra M. Amatya, Ka Kit Liu, Augustine Muwamba, Timothy J. Callahan

Journal of South Carolina Water Resources

Potential evapotranspiration (PET) exhibits substantial spatial and temporal variability across large landscapes, necessitating site-specific estimation for accurate environmental and water resource assessments. However, obtaining PET or ET data for specific locations across an entire state remains challenging due to the limited number of weather stations and associated environmental datasets. This study aimed to develop an automated geospatial modeling framework to map PET distribution across South Carolina, USA, using PET estimated by the temperature-based Hargreaves–Samani (H–S) method with daily weather data from 59 NOAA stations. Because the accuracy of spatial interpolation depends on both the target variable and the desired spatial …

Experience With The Stem For Success Internship, Ujwal S. Thirunagari

STEM Month

In this article, I discuss my experience working with the STEM for Success team. I detail some of the challenges I faced in completing the CRT and LED sections, how I addressed these challenges, and the widely applicable skills that I learned.

Television Guidebook, Ujwal S. Thirunagari

STEM Month

In this television guidebook, we work to clearly explain television technology by including detailed illustrations and introducing fundamental concepts. This guidebook first explains the Cathode Ray Tube by laying out the basics of circuits, thermionic emission, the electron beam gun, and the deflection yoke. Then, the guidebook tackles the modernly adopted LED panel technology used in most phones and computers by explaining the fundamentals of light and liquid crystal. In future iterations of the guidebook, we hope to delve into more detail on color CRTs, thin film transistors, OLED panels, and Micro-LED technology.

Njit Stem For Success Report, Riya R. Kapadia

STEM Month

Airborne viruses are the leading causes of disease and even death in public settings. For instance, the COVID-19 pandemic has resulted in 768 million cases. Air filters improve air quality and remove airborne pathogens that detrimentally affect health. However, current antiviral air filters such as HEPA filters and face masks are impractical for hospital and public settings. Electrically conductive air filters are favorable for antiviral air purification, as they are inexpensive and energy-efficient. Among electrically conductive air filters, laser-induced graphene-based electrified air filters are a promising technology, but they require a voltage greater than 20 V to inactivate the virus. …

Evaluating Igf1 And Igf1-R Levels As Risk-Related Indicators And Early Detection Tools In Estrogen Receptor–Positive Breast Cancer, Randa M. Lua’I, Khawla A. Kasar, Marwa A. Hassan

AUIQ Technical Engineering Science

Breast cancer (BC) remains one of the most common malignancies in women, with its development strongly influenced by hormonal and growth factor signaling. The insulin-like growth factor 1 (IGF1) and its receptor (IGF1-R) are increasingly recognized as key contributors to breast carcinogenesis, particularly in relation to estrogen receptor (ER) status. This study aimed to evaluate circulating IGF1 and IGF1-R levels among Iraqi women with BC and to explore their diagnostic and biological relevance. A total of 90 participants were enrolled, including 65 patients with histologically confirmed BC (41 ER-positive and 24 ER-negative) and 25 healthy controls. Serum concentrations of IGF1 …

Heritage-Based City Branding Case Study Of Fayoum City, Menna Mounir, Sameir Hammad

Mansoura Engineering Journal

Uniqueness and distinction have become fundamental requirements in promoting and branding cities. Influencing people's perceptions is best achieved by reinforcing the city's identity. This identity is the main component that can transform any ‘space’ into a ‘place’. Promoting a city should extend to highlighting the Heritage, landscape, religious sites, pathways, cuisine, inhabitants, activities, and personal experiences. These elements collectively express the city spirit and enrich visitors’ experience.

This study aims to enhance the image of heritage-based cities by exploring the potential for city branding and leveraging heritage to boost the national economy.

Fayoum was selected as a case study for …

Durability Performance Of Sustainable Fly Ash-Based Geopolymer Concrete Incorporating Waste Glass, El-Said Abdelsalam Maaty, Mariam Farouk Ghazy, Mohamed Gamal Eldmarny

Mansoura Engineering Journal

The cement and concrete industries contribute significantly to environmental degradation through high CO₂ emissions and extensive resource consumption. Cement manufacturing accounts for nearly 8% of global CO₂ emissions, primarily from limestone calcination, while raw material extraction leads to resource depletion and ecological disruption. Increasing attention is being directed toward the use of recycled glass as an eco-friendly substitute in geopolymer concrete, offering a sustainable solution to existing challenges. This study investigates the effectiveness of replacing fly ash with waste glass powder (WGP) at 0%, 10%, 20%, and 30%, and substituting natural sand with waste glass sand (WGS) at 0%, 15%, …

Predicting The Next Trending Hussaini Poems: A Machine Learning Approach Based On Textual And Engagement Features, Elaf Adel Abbas

AUIQ Technical Engineering Science

Hussaini’s poem videos have garnered substantial viewership on digital platforms; nevertheless, the determinants of why just a select number achieve “trending” status remain inadequately comprehended. This study presents a machine learning approach aimed at forecasting the trending potential of Hussaini poetry videos through the integration of text- and interaction-based variables. A dataset including 270 YouTube videos was generated, encompassing each video’s title and audience engagement parameters, including views, likes, comments, duration, and upload time. Textual attributes were converted using TF-IDF representations, whereas numerical attributes were standardized and amalgamated via a unified ColumnTransformer pipeline. Five machine learning classifiers—Naive Bayes, Logistic Regression, …

Neutrosophic Graded Jordan–Bialgebra Framework For Ai-Driven Analysis, Mona Gharib, Rana Muhammad Zulqarnain, Xiao Long Xin, Muhammad Gulistan, Muhammad Abid

Neutrosophic Systems with Applications

Modern Artificial Intelligence (AI) systems face significant challenges in processing and analyzing datasets characterized by high degrees of uncertainty, ambiguity, and indeterminacy, which are prevalent features in complex real-world scenarios. To address this limitation, this study introduces a novel neutrosophic graded Jordan–bialgebra framework. This framework strategically integrates the inherent structural properties of Jordan–Bialgebras with the advanced capability of Neutrosophic Graded Structures to simultaneously model degrees of truth, indeterminacy, and falsehood. The primary objective of this study is to establish a rigorous algebraic foundation that enables AI models to perform a more robust and comprehensive analysis of data containing incomplete or …

Comprehensive Risk Evaluation Framework For Reducing Errors In Critical Airport Systems, Arshad Hameed, Muhammad Umer Farooq

Neutrosophic Systems with Applications

Airports are intricate systems that are subject to a number of operational hazards that might impair safety and cause service interruptions. There is a dearth of thorough approaches designed specifically for airport operations, despite a wealth of research on risk management in several industries. In order to anticipate and prevent breakdowns in vital airport systems, we offer a thorough risk assessment approach that combines quantitative evaluation and human factor analysis. This study uses the decision-making methodology such as MARCOS method to rank the alternatives. The criteria weights are computed in this study. This study uses six criteria and 14 alternatives.

Evaluating Solar Energy Challenges And Strategies To Overcome Challenges Under Neutrosophic Decision Making Methodology, Ahmed A El-Douh, Mina Samir Shenouda

Neutrosophic Systems with Applications

Because of its reliance on fossil fuels and fast population expansion, the nation confronts severe socioeconomic problems that can result in political instability, environmental damage, health issues, and economic instability. A switch to clean energy is now necessary as a result of these problems widening the gap between supply and demand for energy. To close this gap, photovoltaic (PV) technology holds great potential. In order to reduce bias and handle ambiguity while assessing solar energy (SE) issues and regulations, this study offers a decision-making process in a single valued neutrosophic set (SVNS) environment. The neutrosophic set is used to overcome …

Integrated Neutrosophic Set For Assessing The Route Options In Overweight Complex Transportation Planning Scenarios, Muhammad Abid, Tayyaba Akhtar, Harshit Bhatt

Neutrosophic Systems with Applications

Due to improvements in lifting and transportation technology that enable the long-distance movement of heavy loads, overweight and oversized transport (O&OT) has emerged as one of the most important aspects of project logistics. This kind of transportation operation, also known as abnormal transportation, is heavily influenced by external variables like weather, traffic density, and legal regulations, as well as technical factors like the load’s weight and geometry, road surface, axle load limitations, slope, and ground strength. Decision-Makers (DMs) and practitioners who plan and carry out operations without giving these variables and factors enough thought may cause operational delays, significant hazards, …

Evaluation Of Integrating Smart Technologies Into Business Ecosystems Using Neutrosophic Uncertainty Model, Kainat Muniba, Muhammad Naveed Jafar, Adil Ahmad, Aruna Pavate

Neutrosophic Systems with Applications

This study proposes a methodological framework for Evaluation of Integrating Smart Technologies into Business Ecosystems. We use the decision-making process to deal with different criteria and alternatives. The decision-making process is used under the neutrosophic set to overcome uncertainty information. Neutrosophic set has three membership functions such as truth, indeterminacy, and falsity. These functions are used to overcome vague information. The average method is used to compute the criteria weights. The COBRA method is used to rank the alternatives based on different alternatives. This study uses 8 criteria and 15 alternatives to be evaluated to show the best option.

From The Editors, Rully Karim Dr.

Journal of Project Management & Construction

The Journal of Project Management and Construction (JPMC) is a peer-reviewed publication dedicated to advancing the field of project management and construction, grounded in the principles outlined in the PMBOK 6th Edition. Our focus encompasses the ten knowledge areas essential to successful project management: Integration, Scope, Schedule, Cost, Quality, Resource, Communications, Risk, Procurement, and Stakeholder Management.

JPMC publishes original research papers written in English that provide deeper insights into these knowledge areas and contribute to the development of best practices in project management and construction. Submissions may include theoretical analyses, computational models, experimental observations, or a combination of both theoretical …

Critical Success Factors Of Lean Construction Implementation To Improve Construction Project Efficiency In Indonesia, Onal Putra, Rossy Armyn Machfudiyanto

Journal of Project Management & Construction

Inefficiency is still a problem in the construction industry in Indonesia and in the world. Inefficiency leads to delayed deadlines, budget overruns, and inappropriate quality. It is caused by a lot of waste in the form of activities that use resources but do not produce the expected value. Lean construction is one approach to address this problem by eliminating waste and maximizing value for users or customers. This research aims to identify and determine the critical success factors that most influence the implementation of lean construction to improve the efficiency of construction projects in Indonesia as well as the development …

Development Of Knowledge Base Of Audit Process In High-Rise Building Works With Design-Build Contract Based On Iso 19011:2018 And Regulation Of The Minister Of Public Works And Housing No. 10 Of 2021, Zafira Alysha Fadli, Danang Budi Nugroho

Journal of Project Management & Construction

In achieving the long-term development goal of Advanced Indonesia, the Government continues to accelerate the completion of infrastructure development, such as strategic and priority projects that support economic transformation. Infrastructure development is still one of the main focuses of the Indonesian government, the 2024 state revenue and expenditure budget (APBN) is allocated to the infrastructure budget. The massive construction of high-rise buildings in Indonesia, the number of accidents is getting higher, so it is necessary to implement an audit process on construction work. The audit process is to know and monitor directly the procedures that have been applied optimally. Therefore, …

Dam Construction Project Planning: A Case Study Of Watershed Management In Poncol District, Fikrian Fajar Muhammad, Audy Christian Rayvano Kalalo

Journal of Project Management & Construction

Despite the rapid growth of infrastructure development in Indonesia, water resource management remains a major concern, especially in regions with high climate variability like Poncol District. This study aimed to identify and analyze the Watershed (DAS) in Poncol District, East Java, using a comprehensive approach integrating GIS technology and hydrology software. The Poncol watershed, covering 19,637 km², was mapped using DEMNAS maps and analyzed with flow direction and flow accumulation. Hydrological analysis via WinTR-20 included verification, sub-area identification, cross-sectional analysis, and storm analysis. Calibration results showed consistency between manual and digital methods, while land use analysis revealed significant impacts on …

Development Of Work Breakdown Structure (Wbs) Dictionary And Checklist Integrated With Building Information Modelling (Bim) On Concrete Bridge’S Care And Maintenance Work To Improve Maintenance Performance, Dina Benua Lalitya, Yusuf Latief

Journal of Project Management & Construction

According to The Ministry of Public Works and Public Housing of Republic of Indonesia (Kementerian PUPR), there was a significant decrease in national bridge condition in year 2021 compared to year 2018. One of the crucial factors that led to the collapse of the bridge was the lack of bridge management and maintenance to ensure the bridge’s serviceability. To cope with this condition, the solution needed is to carry out effective, efficient, and economical care and maintenance works. In bridge’s care and maintenance works, good project management can be improved with Work Breakdown Structure (WBS) and the use of integrated …

A Robust And Energy-Efficient Federated Ids For Iiot Using Spiking Neural Networks And Differential Evolution With Adversarial Resilience, Mohammad Othman Nassar

Iraqi Journal for Computer Science and Mathematics

The Industrial Internet of Things (IIoT) is faced with increasing cybersecurity threats that require lightweight, fast, and resilient intrusion detection systems (IDS). This study presents a novel federated IDS framework that integrates federated learning (FL), Spiking Neural Networks (SNNs), and differential evolution (DE). The use of SNNs within a federated context is a rare and innovative contribution that enables effective temporal feature extraction from IIoT traffic. DE is employed as a global optimization mechanism, enhancing robustness and generalization beyond conventional federated aggregation. To further strengthen resilience, synthetic adversarial noise is injected during training, allowing evaluation in realistic poisoning scenarios. The …

A Study Of Nonlinear Duffing Equations Using The Haar Wavelet Method, Kumbinarasaiah S., Yeshwanth R., Nandeesh K C.

Mansoura Engineering Journal

The main goal of this study is to solve Duffing equations, which are nonlinear differential equations (DEs), using the Haar wavelet technique. The solutions to this equation for an externally pushed and damped oscillator show intriguing dynamic behavior. Mathematicians have recently become more interested in wavelet analysis because of its real-world applications. A few real-world problems have been considered to assess the current methodology. Here, the (OMI) Operational Matrix of Integration and collocation points transform the non-linear ODEs into a system of nonlinear algebraic equations. The resulting system of algebraic equations is then solved using the Newton-Raphson technique to retrieve …

The Functional Efficiency Of Healing Gardens Elements And Its Impact On The Functional Aspect Of Hospitals, Menna Allah Hesham Mohammed, Heba Mohamed Abdou

Mansoura Engineering Journal

Communication with nature has a positive effect on human health and well-being in different civilizations all time. But technological development caused the production of purely functional buildings that are far from communicating with nature, although some buildings contain gardens to achieve communication with nature, their elements are poor. Therefore, healing gardens are considered one of the main elements to raise the efficiency of the functional performance of the health building because they contain the resting places and healing departments. Therefore, this study focuses on determining the functional criteria for the elements of the garden that must be considered when designing …

Scientific Characterization Of Historic Mortars Dating From The 15th-Century Of A Historical Building In Algeria: A Case Study, M. E. Belgacem, N. Rabahi-Touloum, R. Neves, Y. Ouldkhaoua

Journal of Sustainable Construction Materials and Technologies

This research investigates the historic mortars (Aggregate/Binder (A/B) ratio) of a historical patrimony building, dating from the 15th century, in Algeria, for restoration purposes. It is well known that thorough characterization is essential for successful restoration. To this end, several techniques, including Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), and X-ray Fluorescence (XRF), optical microscope were used to characterize the historic mortars. A mechanical test was used to characterize the compressive strength of a historic mortar. For a comprehensive characterization, A/B ratios were estimated using both Digital Image Analyses (DIA) and chemical analyses. The results obtained provided clear information on …

Encapsulation Of Corrosion Inhibitors: Methods, Preparation, And Emerging Applications, Mahdi M. Hanoon, Baha. S. Mahdi

AUIQ Technical Engineering Science

Corrosion remains a critical global challenge, imposing substantial economic, safety, and environmental burdens across infrastructure, transportation, marine, and energy sectors. Traditional corrosion inhibitors, while effective, suffer from rapid depletion, uncontrolled release, environmental risks, and limited long-term stability. Encapsulation of corrosion inhibitors has emerged as a transformative strategy, enabling controlled and stimuli-responsive release, improved stability, and self-healing capabilities. This mini review provides a comprehensive overview of encapsulation technologies, including polymeric microcapsules, inorganic carriers, hybrid systems, and advanced nanoengineering approaches. Preparation methods, ranging from physical and chemical routes to emerging microfluidic and electrospinning techniques, are critically examined. Furthermore, the article highlights state-of-the-art …

Analysis Of Modern Research In The Field Of Automation And Digitalization Of The Dairy Industry, N.A Kabulov, U.K. Sabirov, A.K. Oqilov

Chemical Technology, Control and Management

This article presents a systematic analysis of modern research aimed at the advancement of automation and digitalization technologies in the dairy industry, with particular emphasis on the processes of product sorting and quality control. The main directions of digital solution implementation are examined, including the use of robotic sorting lines, computer vision systems, spectral analysis sensors, and artificial intelligence tools for the automatic verification of product compliance with established standards. A comparative analysis of existing approaches to the implementation of intelligent control systems within the technological cycle — from raw material intake to packaging and finished product logistics — is …

Physicochemical Analysis Of Carbon-Containing Materials Obtained From Vulcanized Rubber Waste And Their Application As Filler Pigments, N.S. Baxranova, Sh.T. Jurayev, D.R. Muminova, Jurayev Shohruh Tulqinovich

Chemical Technology, Control and Management

The article presents the results of chemical and scanning electron microscopic analyses of the solid fraction of carbon-containing materials obtained through thermo-oxidative pyrolysis of vulcanized rubber waste. Elemental analysis of the solid product formed during high-temperature pyrolysis of rubber-technical products at 650–700 °C is provided. In addition, the potential use of the carbonaceous material as a pigment is examined. Raman spectroscopic analysis of worn automobile tires showed that their composition consists of approximately 80 wt.% C, 7 wt.% H, 0.4 wt.% N, 1.5 wt.% S, 3 wt.% O, and 8 wt.% inorganic substances.