Engineering Commons^™

Internet Of Things For Sustainable Transportation Systems, Ayodeji Akinsoji Okubanjo, Ignatius Kema Okakwu, Oluyinka Esther Olaifa, Matthew Babatunde Olajide, Olufemi Peter Alao, Olayiwola Abisola

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This paper highlights the opportunities for the Internet of Things in the transportation industry. The need for the Internet of Things and its architecture to address various complex challenges in the transportation sector are discussed. Various smart applications of the Internet of Things and its noticeable benefits over the existing technology are well articulated. In addition, the role of new and emerging technology such as artificial intelligence, machine learning, big data, cloud, data storage, and analysis for future sustainable transportation are highlighted with specific cases. Furthermore, smart areas of the Internet of Things in transportation are pictorially discussed. In addition, …

Pollution And Biodiversity Loss: A Comprehensive Review Of Impacts And Mechanisms, Great Iruoghene Edo, Agatha Ngukuran Jikah, Patrick Othuke Akpoghelie, Joseph Oghenewogaga Owheruo, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Biodiversity plays a vital role in maintaining ecological balance and providing essential ecosystem services. However, human activities, including pollution and overexploitation, have led to significant biodiversity loss. Pollution has particularly emerged as a major threat to biodiversity, impacting various species and ecosystems worldwide. This article synthesizes evidence on pollution-driven biodiversity loss, emphasizing industrial, agricultural, and urban sources. We discuss cascading ecosystem impacts and propose mitigation strategies to inform policy making. Overall, the article highlights the importance of addressing the impact of pollution on biodiversity to ensure the preservation of our planet's ecology and the sustainability of our natural resources.

Biosynthesis Of Metallic Nanoparticles Using Plant Extracts: Mechanisms, Advances, And Sustainable Applications, Alice Njolke Mafe, Great Iruoghene Edo, Patrick Othuke Akpoghelie, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Joseph Oghenewogaga Owheruo, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Growing concerns over the environmental and health impacts of conventional nanoparticle synthesis have driven a shift toward green, plant-based methods. This review highlights the biosynthesis of nanoparticles using plant extracts as a sustainable, economical and non-toxic alternative. Plant-derived phytochemicals such as flavonoids, phenolics, and alkaloids serve dual roles as natural reducing and stabilizing agents, enabling the production of nanoparticles typically ranging between 10 and 100 nm. Several studies have demonstrated up to 80% yield improvement when using optimized extracts from plants like Azadirachta indica and Ocimum sanctum. The review outlines recent progress, including the use of novel botanical sources, …

Especial Linkage To Poly(Vinyl Chloride) Structure To Enhance Its Characteristics, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Due to a variety of factors that motivated multiple creativities, modification of poly(vinyl chloride) chemical structure has become a flourishing area of research. The current study acts as a condensed overview of the improvements produced using various methods for adjusting the characteristics of poly(vinyl chloride) that is widely utilized. This study explains and emphasizes, through a brief discussion, the findings of the efforts made in recent decades, even if it does not address all of the issues at hand. The article covers a special linkage to the polymer chemical structure such as using heterocyclic moieties to modify poly(vinyl chloride), C–N …

Technological Schemes For Recycling Used Mineral Oils Carbon-Based Adsorbents Derived From Petroleum Coke, Jaloliddin Sharafiddinovich Bakhtiyorov, Vais Narzullaevich Juraev, Mirzhalol Nuriddinovich Norpulatov

Technical science and innovation

Currently, the demand for mineral oils used in engine vehicles and transformers is increasing year by year worldwide. Additionally, a significant portion of used oils is burned as fuel. At present, the contact method is widely used for oil regeneration with the help of adsorbents such as aluminosilicates, zeolites, silica gels, bleaching clays, and others. The existing industrial reprocessing technologies are of great importance in the recycling of used engine and transformer oils. Furthermore, scientists worldwide are conducting research to create long-lasting carbon-based adsorbents for the regeneration of used engine and transformer mineral oils. In this regard, special attention is …

Studying Effect Of Temperature On Photovoltaic Characteristics Of Photovoltaic Modules Based On Cigs Solar Cells, Farrux Anvar O‘G‘Li Akbarov, Anvar Akbarovich Alimov

Technical science and innovation

The article presents the experimental results of the temperature dependence of the load current-voltage characteristics of a solar photovoltaic (PV) module based on a polycrystalline semiconductor binary compound Cu(In,Ga)Se₂ under normal sunlight P_rad=800±5 W/m², in a temperature range of (32÷60) ^оС. It was found that the temperature dependence of the photocurrent has two slopes, which is explained by a change in the generation-recombination mechanism. An increase in the short-circuit current with an increase in the temperature of the photovoltaic module is explained by an increase in the drift length of minority charge carriers, due …

Chromatography In Analysis And Quality Control Of Oil And Gas Products: Modern Approaches And Prospects, Muborak Akramovna Mirshomilova, Natalia Evgenievna Sheina, Lala Bekirova

Technical science and innovation

Chromatography plays a key role in the analysis and quality control of oil and gas products. Modern chromatographic methods, including gas and liquid chromatography, provide high accuracy, sensitivity and speed of analysis. They allow you to identify impurities, control the composition and compliance of products with standards. The article considers innovative approaches, such as multidimensional chromatography and the use of automated systems. Development prospects are discussed, including integration with AI and digital technologies, which opens up new opportunities to improve the efficiency of quality control in the oil and gas industry. This article considers the role of chromatographic methods in …

Training Stages And Algorithms Of Multilayer Neural Networks For The Control System, Abdishukurov Maqsudovich Shavkat, Xuecheng Li

Technical science and innovation

The application of neural network technologies in control systems consists of several stages. In technological object control systems, each layer of the multilayer perceptron neural networks is represented using separate transfer functions. The result of synthesizing neural network technology into control systems allows for the rapid solution of many problems. Using neural network technology, it is possible to perform many calculations. Chain rules of neural networks are added this paper. Lots of training algorithms are compared to choose better to train network. Backpropagation neural networks is seen deeply in the last page. Problems of interpolation and extrapolation are solved. Algorithms …

Research Of Hereditarily Deformable Structures Under Seismic Impacts, Abdali Abdukarimov, Kazbek Nuratdinov

Technical science and innovation

This article examines the responses of a structure to both single-component and multi-component seismic impacts if they are generally described by three linear displacements and three rotations of the foundation relative to three orthogonal axes.

A mathematical apparatus has been created that allows developing statistical theories of seismic resistance for studying hereditarily deformable structures under random seismic impacts. Using impulse transition functions, having established the explicit form of the reaction of hereditarily deformable structures to an arbitrary form of random disturbance, it is possible to determine: the mathematical expectation and moments of the outgoing process; correlation functions; spectral densities, i.e. …

Comparative Analysis Of Gas And Mechanical Emissions From Electric Cars And Internal Combustion Engine Vehicles, Bakhtiyor Akhmatjonovich Kosimov

Technical science and innovation

This article analyzes the environmental impact of modern cars, in particular the amount of harmful substances emitted into the environment by electric cars and internal combustion engine cars, and provides scientific information on the substances that are released from cars in the form of not only gaseous emissions, but also dust particles generated by the mechanical wear of the brake system and tires. At the same time, this article also takes a scientific approach to the wear rates of brake pads and tires, their impact on environmental safety, and the level of dispersion of the microdust generated. Comparative tables have …

Improving The Methodology Of Complex Organization Of Rural Areas Based On Gis Technologies, Anvarjon Pardaboyev

Technical science and innovation

In the world, scientific research is being conducted aimed at improving the efficiency of complex organization of rural areas by utilizing modern geographic information systems (GIS) and remote sensing data. These studies focus on shaping the land allocated to these areas, organizing their activities, and forming the basis of cartographic information. Additionally, the use of modern GIS and remote sensing data has become widespread in the complex organization of rural areas in many countries. This method stands out for its effectiveness in organizing regions today.

In our republic, comprehensive measures are being implemented to consistently develop production through structural, institutional, …

Intelligent Control Of Reducing Energy Consumption And Water Loss In Smart Home Systems, Hakimjon Nasriddinovich Zaynidinov, Damira Farxodovna Hodjaeva, Dhananjay Singh

Technical science and innovation

The article presents an innovative approach to developing an intelligent control system for managing temperature and water level in smart home systems. The proposed method integrates an adaptive PID controller with fuzzy logic algorithms, enabling dynamic adjustment of the PID controller coefficients in real time. The mathematical model of the system incorporates heat balance equations, differential heat transfer relations, and nonlinear models of fluid loss. The adaptive control algorithms developed within the study allow the system to effectively respond to changes in input data.

A comprehensive analysis of the membership functions is conducted, along with adaptive tuning of the PID …

Research Into Technological Features In The Curring Process Of Multilayer Polymer Composite Parts, Umidbek Dilshod Ugli Kosimov, Jonibek Kobilovich Tokhirov, Andrey Dmitrievich Novikov

Technical science and innovation

This paper examines the main technologies and mechanisms used in the curing process of multilayer thick-walled parts of unmanned aerial vehicles (UAVs) made of polymer composite materials (PCM) based on epoxy resin. The study provides a detailed analysis of the technological features of the curing process, its kinetics, and the influence of heat transfer mechanisms on the final quality of molded components. It is emphasized that due to the low thermal conductivity of PCM, temperature inhomogeneity may occur during curing, leading to defects, internal stresses, and deterioration of the mechanical properties of the product. Therefore, ensuring uniform temperature distribution throughout …

Algorithms For Combined Regular Synthesis Of Controller Parameters In Control Systems For Dynamic Objects, Khusan Zakirovich Igamberdiev, Latafat Abbas Gizi Gardashova, Yulduz Mukhtarkhodjayevna Abdurakhmanova, Uktam Farkhodovich Mamirov

Technical science and innovation

Nonlinear control system that includes m-dimensional input control signal and extended (n+s) - dimensional state vector, the last s components of which form a vector of unknown parameters θ satisfying a general difference equation is being considered. The quality criterion is determined by the loss function. The optimal control must satisfy the Bellman equation with respect to the optimal loss function. To be defined an approximate solution that preserves an active use of information. For this purpose, the system is linearized in accordance to the nominal trajectory. This problem is seen as incorrectly stated. The values of the preliminary data …

Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator, Alexey Igorevich Ermakov, Alexey Alexandrovich Yazenkov, Sergey Anatolyevich Zelenko, Zulfiya Kakhramonovna Ergasheva

Technical science and innovation

The article describes the principle of operation of the MUZ-16 air-sieve separator produced by CJSC Borisov Plant Metalist, intended for preliminary, primary and secondary purification of grain and seeds of cereals, legumes, cereal crops and rapeseed. The results of a study of the directions of air flow in the MUZ-16 aspiration system and the efficiency of purifying buckwheat from impurities that differ in aerodynamic properties are presented. It has been established that the part of the MUZ-16 aspiration system, responsible for preliminary aspiration, works effectively, while the part of the system responsible for the final aspiration of the grain mixture …

Research On Geological Complications Occurring During Drilling Operations At Uzbekneftegaz Jsc Wells, Otabek Rajabovich Eshmurodov, Komilxodja Anvarxodjayevich Raximov, Shaxnoza Hikmatullayevna Mirsaatova, Tolib Olimovich Komilov, Sherali Halloqovich Umedov

Technical science and innovation

This article presents an analysis of maintaining wellbore stability, preventing pack-off formation, stuck pipe incidents, and drilling fluid losses. A technology aimed at ensuring successful and high-quality trouble-free well drilling is analyzed and recommended. Based on data obtained from the Surkhandarya Basin fields, many wells were not drilled to the designed depth. Geophysical data from studied fields indicate that pore pressure retained in clay formations causes wellbore instability. These data also help to identify zones prone to collapse; however, the direct measurement of pore pressure in such formations remains impossible. This research was primarily conducted in the Ustyurt region, one …

Technical And Economic Justification Of The New Design Of A Hydro-Accumulation Syste, Kurbon Salikhdjanovich Dzhuraev, Abdurasul Sayfutdinov, Elyor Doniyorovich Ismoilov

Technical science and innovation

The effective utilization of renewable energy sources such as solar and wind requires reliable and efficient energy storage systems due to their irregular and intermittent supply. This paper presents a novel hydro-accumulation system that significantly reduces energy consumption by integrating hydraulic ram pumps instead of traditional electrically powered pumps. The proposed system operates in cascade mode, where the kinetic energy of water is used multiple times through a sequence of hydraulic rams to pump water from a lower reservoir back to the upper one. Each stage of the system reuses the outflow water of the previous ram, achieving up to …

Harnessing Environmentally Healthy Approaches For Plastic Degradation: A Review And Future Perspectives, Marc Chojnacki

Beyond: Undergraduate Research Journal

In the face of escalating plastic pollution, innovative degradation strategies, such as enzymatic degradation, smokeless incineration technology, and biodegradable plastics, are gaining traction. This paper collates comprehensive research on these methods, assessing their environmental impact and operational feasibility. A special focus is placed on the role of technology and its capacity to spark advancements in these degradation strategies as well as to draw on specific research to understand the economic implications of these methods. At the core of this study is the exploration of potential new, inventive degradation methodologies. Through examining methods of green plastic degradation, the study aims to …

A Comprehensive Review Of Software Requirements Dependencies Analysis Techniques, Nahla Mohamed, Sherif Mazen, Waleed Helmy

Iraqi Journal for Computer Science and Mathematics

The software Requirements Prioritization (RP) process is essential for producing a successful software project. Requirements are interdependent in software projects, so handling their dependency during the RP process is mandatory. Many researchers have shown that requirements dependency is challenging for large-scale systems. Extracting requirements dependency is difficult since requirements are documented in natural language. Improper handling of dependencies among requirements while prioritization can cause inaccurate prioritization results and deadlocks, which cause project delays, rework, and redesign. Many techniques have been introduced to automate the dependency analysis process among software requirements, including artificial intelligence (AI) and other logic-based methods such as …

Fixed Points Of Multi-Valued Graph Maps In Strong B-Metric, Shaimia Qais Latif, Salwa Salman Abed, Haider Ahmed Shihab

Iraqi Journal for Computer Science and Mathematics

This paper involves adopting a well-known generalization method in the branches that dealing with fixed points via weakening the suppositions. As appearing in previous sources, letting (Ω,Sb,K) be a strong b-MS, and F,H be two multi-valued maps on Ω equipped with a graph σ s.t the set of vertices of σ,Λ(σ) = Ω and the set of edges of σ, Ξ(σ) ⊆ Ω × Ω. The acceptable assupmtions have been adopted to finding a common fixed point for in Ω. …

Enhanced Detection Of Intracranial Hemorrhage: A New Hybrid Model Design Based On The U-Net Segmentation Method, Hassan F. Hassan, Hadeel K. Aljobouri, Oktay Algin

Iraqi Journal for Computer Science and Mathematics

Intracranial hemorrhage (ICH) denotes bleeding inside the skull, which can occur in or around the brain. Computed tomography (CT) has been used to detect ICH due to its high efficiency and accuracy. Nowadays, deep learning model design is introduced to allow an accurate and efficient classification of ICH in CT images. This work focused on developing U-Net-based models for the segmenting of ICH. Furthermore, the proposed model employed two transfer learning models, MobileNet and Xception, as the backbones of the U-Net topology. This approach aims to establish metrics that improve ICH treatment through precise segmentation techniques. A free dataset from …

Retracted: A Novel Benchmarking Framework For Selecting The Best Deep Learning Model Diagnosing Covid-19 Based On New Development For Dual Mcdm Methods, Mahmood M. Salih, Yousif Raad Muhsen, M.A. Ahmed, Reem D. Ismael, Moceheb Lazam Shuwandy, Z.T. Al-Qaysi

Iraqi Journal for Computer Science and Mathematics

COVID-19 was diagnosed using deep learning models by a group of studies. Evaluating and benchmarking these models are essential to achieving the most suitable model for diagnosing coronavirus. Objective: In this investigation, we offer an inclusive valuation of several deep learning models to detect the maximum appropriate and active model which gratifies doctors' requirements and assessment criteria. Method: This study combines Fuzzy decision by the opinion score method (FDOSM) and Fuzzy-Weighted Zero-Inconsistency (FWZIC). According to the advantage of Trapezoidal Intuitionistic fuzzy, we developed FWZIC into Trapezoidal Intuitionistic fuzzy named (TrIF-FWZIC) for weighting criteria and FDOSM into Trapezoidal Intuitionistic fuzzy FDOSM …

Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

Basketball players in the NBA are renowned for their talent, athleticism, and commitment to the game. NBA players may make enormous sums of money; however, they vary greatly. Rookie agreements begin at a lower price and go up following performance. NBA players’ pays are influenced by several factors. Because they influence games and the success of the club, exceptional players fetch larger compensation. This study employs Machine Learning (ML) techniques, including Lasso Regression and Random Forest Regression (RFR) models to analyze wage trends, enhanced by the Slime Mould Algorithm (SMA) and Artificial Rabbit Optimization (ARO) for accuracy. The goal is …

الأمن السيبراني والذكاء الاصطناعي: حلول لإدارة أزمات البنية التحتية الرقمية, عبدالله سعد الغامدي

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

في ظل التحول الرقمي المتسارع، أصبحت إدارة الأزمات التقنية تحديًا استراتيجيًا يستوجب تبني حلول مبتكرة للحفاظ على استمرارية الأعمال وحماية البنية التحتية الرقمية. ناقشت هذه الورقة دور الأمن السيبراني والذكاء الاصطناعي في تعزيز قدرات المنظمات والجهات على التنبؤ بالأزمات والاستجابة لها بفعالية ، وتعتمد على منهجية تحليلية تجمع بين دراسة الحالات الواقعية وتحليل البيانات باستخدام تقنيات التعلم العميق Deep Learning ونظم الأمن السيبراني المتقدمة مثل SIEM وSOAR ومدى الاستفادة من دمج هذه التقنيات لتحسين زمن الاستجابة وتقليل معدل الهجمات الناجحة، مع التدليل على أمثلة من المملكة العربية السعودية والتي سجلت أكثر من 38 مليون محاولة هجوم سيبراني في عام 2024. …

Green Energy Production Using A Hydro-Generator In An Underground Mine Water Pumping Station – Case Study, Andrzej Chmiela, Beata Barszczowska, Eugeniusz Krause, Arkadiusz Kulawik, Adam Smolinski

Journal of Sustainable Mining

The paper analyses the experience of almost one year of production of “green” electricity by a hydro-generator using a constant water drop in the pits of mine water pumping stations. The main technical, economic and environmental parameters obtained by the applied technical and organisational system are presented. Equipping the mine water pumping station with a hydro-generator proved to be a good investment. The investment offers a relatively low risk with a relatively low initial outlay and a relatively short payback period of about 4 years. The innovative use of typical but modern elements in an atypical operating environment has not …

Machine Learning Techniques For Optimizing The Efficiency And Costs Of Drill Steel In Sandstone And Granodiorite: A Case Study In Peru, Marco Cotrina, Jairo Marquina, Jose Mamani, Solio Arango, Eusebio Antonio, Eduardo Noriega, Teofilo Donaires, Dominga Cano

Journal of Sustainable Mining

This research aims to optimize the efficiency and costs of drilling steel in sandstone and granodiorite rocks using machine learning techniques in a Peruvian mine. Predictive models, including random forest (RF), XGBoost (XGB), decision trees (DT), and artificial neural networks (ANN), were applied, along with optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), and simulated annealing (SA). A dataset of 705 entries was analyzed, focusing on drill bit wear, percussion and rotation pressures, and cost per meter drilled. Model performance was evaluated using R², RMSE, MAE, and MAPE. The ANN model …

Assessing The Living Conditions Of Mining-Induced Resettled Persons: The Case Of Ahafo South Resettlement Communities, Ghana, Jonathan Zinzi Ayitey, Mustapha Okyere, Frank Gyamfi-Yeboah

Journal of Sustainable Mining

This study examines the living conditions of mining-affected persons in the Ahafo South Mining Communities in Ghana using Cernea’s Impoverishment Risks and Reconstruction (IRR) model. Employing a case study design, data for the study was obtained through a combination of semi-structured interviews and close-ended questionnaires administered to ninety (90) respondents in the Ntotroso and OLA resettlement communities in the Asutifi North District, Ghana. The results show a complex mix of outcomes of mining-induced displacement and resettlement of the resettled population. While an analysis of resettlement impacts found a high level of satisfaction among the resettled population with housing provision, road …

Damage Assessment In The Case Of Post-Mining-Induced Seismicity: How To Use And Adapt Macroseismic Intensity Scales?, Johanna Vieille, Caterina Negulescu, Pierre Gehl, Pascal Dominique, Romain Guidez, Grzegorz Mutke

Journal of Sustainable Mining

Following coal mine closures, the impact of flooding on underground mining excavations and on the geomechanical stability of the rock mass has the potential to trigger superficial earthquakes. The generated vibrations may induce damages to the surface infrastructures. Therefore, they represent a significant source of concern for the population. Nowadays, seismic risk assessment procedures in Europe usually build upon the EMS-98, which has been developed for natural tectonic earthquakes. This study aims to investigate the applicability of EMS-98 to seismic events induced by post-mining context while comparing it to a new intensity scale MSIIS-22 adapted to very low intensities from …

Rockfill Trenching For Enhancing Overburden Dump Height On Weak Soil Strata, Rahul Shende, Srinivasan Venkatraman, K. Athiveera Pandian, Shubham Jain, Anjan Patel

Journal of Sustainable Mining

Dumping waste on weak soil layers can destabilize the dump, compromising its capacity for material disposal. This study focuses on the stability of dumps placed over weak black cotton (BC) soil strata in central India, with an emphasis on assessing the effectiveness of rockfill trenches (RFT) in improving dump stability. A combined approach using nine limit equilibrium methods (LEM) and the finite element method (FEM) was employed for analysis. The results demonstrate that dump stability is significantly influenced by the presence of weak strata under both dry and wet conditions when the dumping height is increased. The study also reveals …

Exploring The Interactions Between Mining And Climate Change: A Bibliometric Analysis, Artatrana Mishra, Sarat Chandra Sahu, Manish Yadav, Nitin Kumar Singh

Journal of Sustainable Mining

The increasing demand for minerals has placed huge pressure on the mining industry to increase production, which consequently affects the environment, and, thus, contributes to climate change. Coal extraction has been reported to be a major contributor to global CO₂ emissions, mainly due to the burning of fossil fuels. As a consequence, the frequency and severity of extreme climatic events have also increased throughout the world. Mining is essential for the development of society but contributes to climate change. On the contrary, extreme weather events and rising temperatures associated with climate change affect the overall productivity of mining companies. …