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Full-Text Articles in Engineering

Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal Jun 2026

Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal

Al-Esraa University College Journal for Engineering Sciences

Historic urban spaces play a central role in shaping social interaction, environmental comfort, and collective identity in cities with deep cultural heritage. Despite this importance, empirical assessments of their performance in terms of Quality of Life (QoL) from the perspective of contemporary users remain limited, particularly in the context of Baghdad. This study examines Quality of Life indicators within a historic urban space through a case study of Al-Mustansiriya Madrasa, one of Baghdad's most prominent historic educational complexes. A descriptive–analytical approach was adopted, integrating a structured questionnaire survey, systematic on-site observation, and spatial analysis based on Space Syntax techniques. The …

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Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad Jun 2026

Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad

Al-Esraa University College Journal for Engineering Sciences

The Iraqi Museum's remaining architectural form and traditional display techniques do not allow for enough interaction between visitors and the items, despite the museum's great heritage and cultural value. This between visitors and the exhibits. Additionally, the museum does not include interactive technologies and contemporary architecture, which are now essential components of modern museums around the world.This invites the question of how to optimize the Iraqi Museum's visitor experience by applying the principles of interaction design in museum architecture within a contemporary developmental vision. In order to revive the architectural spaces within the Iraqi Museum, the research aims to generate …

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Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq Jun 2026

Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq

Al-Esraa University College Journal for Engineering Sciences

The current paper provides a detailed experiment and numerical study of the performance of the combustion chamber of a heavy-duty diesel engine in the common Iraqi industrial conditions at the State Company of Heavy Engineering Equipment (HEESCO). The main goal is to close the difference between what is specified by the manufacturers concerning the performance data, which is usually assumed to be under ideal conditions of the ISO standard, and the real efficiency of operation as witnessed in the field. The methodology is based on a hybrid approach that combines direct field measurements of in-cylinder pressure, temperature and fuel flow …

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An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany Jun 2026

An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany

Al-Esraa University College Journal for Engineering Sciences

Smart cities are emerging as a critical solution for creating more efficient, sustainable, and comfortable urban environments. This transformation is primarily driven by the synergistic integration of the Internet of Things (IoT) and Artificial Intelligence (AI). The IoT provides a pervasive network of connected sensors that collect real-time urban data, while AI serves as the analytical engine that processes this information to optimize city-wide systems. This paper presents a comprehensive framework that leverages this AI-IoT convergence for dynamic optimization to achieve long-term urban sustainability. The framework focuses on enabling intelligent, data-driven decision-making across core urban domains. The discussion and analysis …

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Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher Jun 2026

Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher

Al-Esraa University College Journal for Engineering Sciences

In the study, nonlinear vibration and thermo-mechanical characteristics of centrifugal pump bearings utilized in the cooling tower system of South Refineries Company (Basra) were properly examined using a combined experimental and numerical method. The intent of the study was to learn the impact of misalignment, the nature of the lubrication film, and thermal gradients on the stability of the operation of these bearings and their service life under realistic industry environment conditions. Finite element model (FEM) was constructed and tested on the basis of real field data obtained at the working pumps that allowed realistic distribution of stress and temperature. …

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Numerical Method For Strongly Variable-Density Flows At Low Mach Number: Flame-Sheet Regularisation And A Mass-Flux Immersed Boundary Method, Matheus P. Severino, Fernando F. Fachini, Elmer M. Gennaro, Daniel Rodríguez, Leandro F. Souza Jun 2026

Numerical Method For Strongly Variable-Density Flows At Low Mach Number: Flame-Sheet Regularisation And A Mass-Flux Immersed Boundary Method, Matheus P. Severino, Fernando F. Fachini, Elmer M. Gennaro, Daniel Rodríguez, Leandro F. Souza

Mathematical Modelling and Numerical Simulation with Applications

A low-Mach-number flow, in the laminar regime, has intrinsically two characteristic spatial scales for a given time scale, or two characteristic temporal scales for a given spatial scale, and these dual scales are very different due to the disparity between the flow and acoustic speed. Therefore, low-Mach-number flows impose mathematical and computational challenges in their description. Standard numerical methods for compressible flows, which are typically designed for problems with a single dominant spatial and temporal scale, require alternative approaches, such as preconditioning techniques or solvers tailored for low-Mach-number equations. The present work introduces a simplified fluid dynamics model for flows …

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An Interactive Multi-Objective Programming Approach For Optimizing Fully Trapezoidal Spherical Fuzzy Linear Programming Problem With Application, Sultan S. Alodhaibi, Hissah Ibrahim Almuzini, Hamiden Abd El-Wahed Khalifa Jun 2026

An Interactive Multi-Objective Programming Approach For Optimizing Fully Trapezoidal Spherical Fuzzy Linear Programming Problem With Application, Sultan S. Alodhaibi, Hissah Ibrahim Almuzini, Hamiden Abd El-Wahed Khalifa

Neutrosophic Systems with Applications

In this paper, a linear programming framework with completely uncertain parameters is investigated by employing trapezoidal spherical fuzzy numbers (TrSFNs). The proposed formulation incorporates a spherical fuzzy (SF) decision environment in which the optimization process simultaneously maximizes the degree of positive membership while minimizing the corresponding neutral and negative membership degrees. By utilizing the concept of the α -cut associated with TrSFNs, the original fully fuzzy linear programming problem is transformed into an interval-valued linear programming model with confidence levels. To rank and compare the resulting interval objective values, an interval ordering approach based on the decision maker's preferences—considering the …

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Interval-Valued Neutrosophic Dombi Bonferroni Mean Aggregation Operators In Medical Diagnosis And Sustainable Energy, Maryam Faisal, Muhammad Nadeem, Muhammad Kamran Jun 2026

Interval-Valued Neutrosophic Dombi Bonferroni Mean Aggregation Operators In Medical Diagnosis And Sustainable Energy, Maryam Faisal, Muhammad Nadeem, Muhammad Kamran

Neutrosophic Systems with Applications

Medical diagnosis is one of the most difficult fields in which decisions must be made due to the fact that medical information often has characteristics of uncertainty, incompleteness, imprecision and even contradiction. Traditional aggregation and decision-making methods are often not well suited to such complexities, and may result in less reliable diagnostic outcomes. In order to overcome these drawbacks, the authors propose a new approach using a novel representation of Interval-Valued Neutrosophic Sets (IVNSs), the Dombi operational laws, and Bonferroni Mean (BM) aggregation operators. The proposed framework is specifically aimed at coping with uncertainty, indeterminacy and falsity all at once …

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Exploiting Uncertainty Of Computational Methodology In Optimizing User Interface In Human-Computer Interaction, Nada Mohamed, Alshaimaa A. Tantawy Jun 2026

Exploiting Uncertainty Of Computational Methodology In Optimizing User Interface In Human-Computer Interaction, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

Human-computer interaction (HCI) evaluation and optimization of user interfaces (UIs) constitute a complex multi-criteria decision-making challenge, marked by conflicting evaluation dimensions, subjective expert judgments, and inherent uncertainty in user experience assessment. Traditional evaluation approaches, such as heuristic expert reviews and user satisfaction surveys, rely on sharp, binary classifications that fail to capture the gradual and overlapping nature of human cognitive and affective states. This limitation necessitates a more robust uncertainty-aware methodology that can model the true complexity of HCI evaluation. This paper proposes a hybrid mathematical model that integrates various Multi-Criteria Decision Making (MCDM) techniques of Entropy, and Simple Additive …

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Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad Jun 2026

Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad

Neutrosophic Systems with Applications

This paper introduces Generative Endurance Logic (GEL), a formal framework for studying objects through the outcomes they can produce. In many cases, an object cannot be judged only by a fixed truth value, score, or utility value. A rule, model, action, or strategy may behave well in one situation but fail when the context changes or when small perturbations occur. GEL addresses this issue by treating each object as a generator of outcomes. Each object a is linked to a generation map Ga:X×Ω→Y, where X is the context space, Ω is the …

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Recursive Neutrosophic Superhypergraphs With Illustrative Applications, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran Jun 2026

Recursive Neutrosophic Superhypergraphs With Illustrative Applications, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran

Neutrosophic Systems with Applications

Finite hypergraphs generalize ordinary graphs by permitting each hyperedge to join any nonempty set of vertices, and thus provide a natural model for truly multiway interactions. To represent hierarchical and multi-layer structure, SuperHyperGraphs iterate the powerset operation so that set-valued entities created at one level can be treated as vertices at higher levels. Independently, recursive hypergraphs allow edge recursion: an edge may contain not only vertices but also lower-level edges, yielding nested (and possibly self-referential) incidence controlled by a specified recursion depth. In this work we introduce and axiomatize Recursive Neutrosophic SuperHyperGraphs, a unified framework that combines vertex …

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Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada Jun 2026

Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada

Chemical Technology, Control and Management

The widespread use of AI systems in important infrastructure, it's very important that algorithmic decision-making processes are clear and easy to understand. Explainable Artificial Intelligence (XAI) has emerged as a vital research domain addressing the opacity in contemporary machine learning models, particularly deep neural networks, which function as inscrutable black boxes. This literature review provides a comprehensive examination of XAI methodologies and their applications in distributed systems, with a particular emphasis on microservice architectures. The review compiles contemporary taxonomies of XAI methods and elucidates the fundamental strategies that facilitate the comprehension of models across various computing environments. This study also …

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Mathematical Modeling And Image Processing Algorithms In Artificial Intelligence-Based Technical Vision Systems, Erkin Uljaev, Ulmasjon Ulfat Ogli Abdixalilov Jun 2026

Mathematical Modeling And Image Processing Algorithms In Artificial Intelligence-Based Technical Vision Systems, Erkin Uljaev, Ulmasjon Ulfat Ogli Abdixalilov

Chemical Technology, Control and Management

This paper presents a comprehensive study on the development of a mathematical model and image processing algorithms for artificial intelligence-based technical vision systems. The research focuses on analyzing the structural organization and functional components of the system, including image acquisition devices, illumination subsystems, and data processing modules that ensure stable and accurate operation. A systematic and integrated approach is applied to model the transformation of object parameters and to enhance the accuracy, robustness, and reliability of object detection processes. Particular attention is given to image preprocessing, segmentation techniques, and contour detection algorithms, as these stages play a crucial role in …

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Planning The Movements Of Robots Based On Intellectual Technologies, Temurbek Omonboevich Rakhimov, Dildora Usmonovna Sevinova Jun 2026

Planning The Movements Of Robots Based On Intellectual Technologies, Temurbek Omonboevich Rakhimov, Dildora Usmonovna Sevinova

Chemical Technology, Control and Management

This article is devoted to the issues of planning the actions of robots based on intelligent technologies. One of the main issues in the intelligent planning of robot manipulators' movements is to determine the configuration of the links corresponding to the final position of the manipulator handle in the given Cartesian coordinate. Including the planning of robot movements based on intelligent technologies, the automation of production processes, the discretization of the space of links in the process of planning the movements of robots is important, because this space determines the possible states of the robot handle. The article considers the …

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Development Of A Smart Solar Panel Based On Embedded Systems, Khotam Bakhtiyor Ugli Mirzokulov Jun 2026

Development Of A Smart Solar Panel Based On Embedded Systems, Khotam Bakhtiyor Ugli Mirzokulov

Chemical Technology, Control and Management

This paper addresses the growing need for sustainable energy solutions by analyzing global solar energy trends and the barriers limiting renewable energy deployment in Uzbekistan, despite national goals such as the Strategy for Transition to a Green Economy. The research presents the design and implementation of a smart dual-axis solar tracking system based on the Arduino Uno microcontroller, integrating four LDR sensors and two servo motors to automatically align a photovoltaic panel with maximum solar radiation. A control algorithm continuously compares light intensity values, adjusts horizontal and vertical angles, and ensures safe mechanical operation. The developed prototype demonstrates improved light …

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Fuzzy-System-Based Correction Of Nonlinearities In Complex Dynamic Plants, Zokhid Ergashboyevich Iskandarov, Tukhtamurod Khayitmurodovich Avezov Jun 2026

Fuzzy-System-Based Correction Of Nonlinearities In Complex Dynamic Plants, Zokhid Ergashboyevich Iskandarov, Tukhtamurod Khayitmurodovich Avezov

Chemical Technology, Control and Management

A method for synthesizing a fuzzy compensating element from the static characteristic of a nonlinear plant is presented. The method transforms the characteristic into a rotated coordinate system, identifies zero crossings and local extreme, maps the characteristic points back to the original coordinates, and uses them to determine the antecedent membership functions and singleton consequents of a zero-order Sugeno inference system. Unlike heuristic rule tuning, the proposed procedure derives the rule base directly from the geometry of the nonlinear characteristic. An adaptive reconfiguration mechanism based on a mismatch indicator is also formulated for operating conditions in which plant parameters vary …

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Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev Jun 2026

Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev

Chemical Technology, Control and Management

This article addresses the problem of managing multi-agent robotic systems using artificial intelligence technologies. A hybrid model combining the Vision-Language-Action (VLA) architecture with the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm is proposed for the synergetic control of a group of robots. The model is built on the Centralized Training with Decentralized Execution (CTDE) principle, with a Social-Force component incorporated into the reward function to automatically maintain a safe distance between agents. Experiments were conducted in the NVIDIA Isaac Sim environment using a dataset of over 10,000 trajectories and scenarios involving 4 to 16 agents. The results show a 90% …

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Modeling Of A Mechatronic Module Based On A Linear Motion Actuator, Nodira Batirdjanovna Аlimova, Bekmurod Bayotovich Yusupov Jun 2026

Modeling Of A Mechatronic Module Based On A Linear Motion Actuator, Nodira Batirdjanovna Аlimova, Bekmurod Bayotovich Yusupov

Chemical Technology, Control and Management

This article is devoted to the modeling of a mechatronic module based on linear motion actuator, including the processes of modeling the dynamic, kinematic, and control parameters of the mechatronic module, as well as the design and functional characteristics of the drives providing linear motion. In modern manufacturing enterprises and automated production systems, the need for mechatronic modules with high accuracy, speed, and reliability is increasing. In addition, mechatronic systems based on linear motion play a key role in the efficient control of technological processes, increasing positioning accuracy, and reducing energy consumption. The article presents mathematical models that allow one …

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Adaptive Control And Optimization Methods In Complex Robotic Systems Using Artificial Intelligence Algorithms, Otajon Normuminovich Norboyev Jun 2026

Adaptive Control And Optimization Methods In Complex Robotic Systems Using Artificial Intelligence Algorithms, Otajon Normuminovich Norboyev

Chemical Technology, Control and Management

This research addresses the critical problem of controlling complex robotic systems characterized by parametric uncertainty and external disturbances. Within the scope of this work, a novel adaptive control model was developed based on the integration of artificial intelligence elements and modern control theory. The proposed approach combines classical nonlinear control theory, Lyapunov stability analysis, and neural function approximation mechanisms into a single, unified system. The primary advantage of this model is that it does not require prior exact knowledge of system parameters and ensures high precision and energy efficiency by minimizing the control functional in real-time. Unknown system dynamics are …

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Architecture Of The Information System Supporting Information Processing And Decision-Making In Medicine, Isamidin Sidikov, Sanjarbek Bekturdiev Jun 2026

Architecture Of The Information System Supporting Information Processing And Decision-Making In Medicine, Isamidin Sidikov, Sanjarbek Bekturdiev

Chemical Technology, Control and Management

This article examines the architecture of an information system that supports information processing and clinical decision-making in the field of medicine. The system is described using a multilayer functional model that enables the integration, analysis, and efficient utilization of heterogeneous data. The utilization of the BioBERT and XGBoost neural network models at data collection, preparation and analysis, as well as decision-making steps using machine learning and expert systems are summarized. The use of IDEF methodology for modeling medical information system is reviewed and the importance of IDEF0, IDEF1, IDEF1X, IDEF2, and IDEF3 models is emphasized. An efficient paradigmatic model for …

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Integration Of Adaptive Kalman Filter And Bayesian Models For Diagnostics And Reliability Assessment Of Vision Sensors, Rustam Tulkunovich Khamdamov, Marjona Jasubek Qizi Xoliqova Jun 2026

Integration Of Adaptive Kalman Filter And Bayesian Models For Diagnostics And Reliability Assessment Of Vision Sensors, Rustam Tulkunovich Khamdamov, Marjona Jasubek Qizi Xoliqova

Chemical Technology, Control and Management

Vision-based sensors constitute a cornerstone of contemporary automation, robotics, and intelligent transportation systems, where their reliability directly determines operational safety and efficiency. Conventional Kalman filtering achieves optimal state estimation under linear dynamics and stationary noise assumptions, yet its performance deteriorates in the presence of sensor malfunctions or nonstationary environments. This study proposes an innovative framework that couples an adaptive Kalman filter with Bayesian inference to strengthen diagnostic capabilities and reliability evaluation of vision sensors. The Kalman filter provides dynamic state tracking, while Bayesian reasoning enables probabilistic fault identification and reliability quantification. The methodological novelty lies in the real-time adjustment of …

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Investigation Of The Problems Of Intelligent Control Of The Process Of Low-Temperature Separation Of Natural Gas., Shaxzod Nurmuhammad O‘G‘Li Amirov Jun 2026

Investigation Of The Problems Of Intelligent Control Of The Process Of Low-Temperature Separation Of Natural Gas., Shaxzod Nurmuhammad O‘G‘Li Amirov

Chemical Technology, Control and Management

This article analyzes the problems of intelligent control of the process of low-temperature separation (LTS) of natural gas and modern approaches to solving them. Since the process complexity of gas separation at low temperature as well as multidimensional technological parameters have nonlinear control properties, a principled technological scheme for intellectual control of technological parameters such as gas humidity, temperature, pressure, consumption and diethylenglicol (DEG) consumption of the LTS process has been developed. The analysis and literature review show that intellectual control methods allow for stable operation of the technological process, reduced energy consumption, reduced heat exchange, and reduced gas hydrate …

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Li+/Na+ Hybrid Ion Conduction Mechanism In The Superionic Conductor Li3–XNaXZr2Si2Po12, Yi-Hong Wu, Xia Xie, Lei Zhu, Mu-Ran Yu, Guo-Tai Zhang, Jun-Chao Chen, Shu-Ying Sun, You-Wei Wang, Wei-Ping Tang Jun 2026

Li+/Na+ Hybrid Ion Conduction Mechanism In The Superionic Conductor Li3–XNaXZr2Si2Po12, Yi-Hong Wu, Xia Xie, Lei Zhu, Mu-Ran Yu, Guo-Tai Zhang, Jun-Chao Chen, Shu-Ying Sun, You-Wei Wang, Wei-Ping Tang

Journal of Electrochemistry

Hybrid ion conductors that transport multiple ionic conductive species provide a useful platform for understanding how mixed-ion transport governs ionic conductivity within a single phase. However, the controlled introduction of multiple mobile ions into solid-state electrolytes and a mechanistic understanding of their migration within the framework remain challenging. Herein, a skeleton-retained Li+↔Na+ cationic exchange was used to simultaneously induce Li+ and Na+ cations into the NASICON-type framework of Li3–xNaxZr2Si2PO12 (0 < x < 3). We show that the interpenetration of NaO6 and NaO8 coordination polyhedra significantly influences the ionic conductivity of hybrid ion conductors. Computational …

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Distribution And Transport Of Lithium Ions At Interfaces Between Graphite And Carboxymethyl Celluloses, Zi-Jun Huang, Zhen-Ying Zheng, Hua-Wei Cao, Jian Wang, Qing-Feng Zhang, Sheng-Li Chen Jun 2026

Distribution And Transport Of Lithium Ions At Interfaces Between Graphite And Carboxymethyl Celluloses, Zi-Jun Huang, Zhen-Ying Zheng, Hua-Wei Cao, Jian Wang, Qing-Feng Zhang, Sheng-Li Chen

Journal of Electrochemistry

Carboxymethyl cellulose (CMC) is a water-processable binder widely used for graphite anodes. However, a microscopic understanding of why the identity of CMC counterions (Li+/Na+/K+) strongly affects electrode performance remains limited. Here, molecular dynamics (MD) simulations are used to track Li+ transport accessibility across electrolyte/CMC/graphite three-phase interfaces, comparing pure CMC-Li, CMC-Na, CMC-K, and mixed-counterion CMC binders. We find that CMC-Li sustains a continuous Li+ transport pathway from the electrolyte through the binder phase toward graphite. In contrast, in CMC-Na and CMC-K, Na+/K+ ions preferentially enrich at the graphite/binder interface, forming …

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Distinct Co2 Electroreduction Behaviors Over Planar And Non-Planar Cobalt Molecular Catalysts, Ru Jia, Cheng-Biao Zhu, Zi-Mo Zhang, Tuo Wang, Kai-Cong Yang, Guang-Zhe Wang, Yang Hu, Ting-Ting Zhang, Zhen-Wei Wei, Li Xiao, Gong-Wei Wang, Lin Zhuang Jun 2026

Distinct Co2 Electroreduction Behaviors Over Planar And Non-Planar Cobalt Molecular Catalysts, Ru Jia, Cheng-Biao Zhu, Zi-Mo Zhang, Tuo Wang, Kai-Cong Yang, Guang-Zhe Wang, Yang Hu, Ting-Ting Zhang, Zhen-Wei Wei, Li Xiao, Gong-Wei Wang, Lin Zhuang

Journal of Electrochemistry

Molecular catalysts serve as ideal platforms for studying electrocatalytic reaction mechanisms. While current research mainly focuses on modulating central metals or surrounding ligands, the influence of molecular spatial configuration remains largely unexplored. Herein, we synthesized two cobalt complexes with similar ligand environments but distinct spatial geometries, a planar cobalt hexaazamacrocyclic complex (CoHAM) and a non-planar acyclic Co(phen)2Cl2, and evaluated their performance in CO2 reduction reaction (CO2RR). The planar CoHAM exhibited dramatically superior CO2RR performance compared to the non-planar Co(phen)2Cl2. Through a series of combined analyses using in-situ …

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On The Use Of Lorawan For Smart Fishing Applications In The Blue Economy Sector, Eva Shayo Jun 2026

On The Use Of Lorawan For Smart Fishing Applications In The Blue Economy Sector, Eva Shayo

Tanzania Journal of Engineering and Technology (TJET)

The growth of digital technology is expected to transform small-scale fishery sectors, where a need for robust, low-cost, long-range communication networks becomes critical. There exist several technologies that are used in the fishery sector but they are never affordable to small scale fisheries. This study evaluates the feasibility of using low cost Long Range Wide Area Network (LoRaWAN) technology specifically tailored for smart fishing environments to small scale fishery sector. Using simulation, we assess the performance of the key performance metrics including probability of success and energy efficiency under varying device densities and time. During evaluation, we considered end devices …

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Optimal Design And Techno-Economic And Environmental Analysis Of A Hybrid Solar Pv-Battery-Generator System For Off-Grid Telecom Towers And Rural Households: Case Of Misughaa Village In Tanzania, Ibrahim Mwammenywa, Martha Mwaikenda Jun 2026

Optimal Design And Techno-Economic And Environmental Analysis Of A Hybrid Solar Pv-Battery-Generator System For Off-Grid Telecom Towers And Rural Households: Case Of Misughaa Village In Tanzania, Ibrahim Mwammenywa, Martha Mwaikenda

Tanzania Journal of Engineering and Technology (TJET)

Telecommunication services are pivotal for the socio-economic development of communities, regions, and countries. Extensive and reliable telecom infrastructure enables populations to leverage development opportunities and bridge the urban-rural divide. However, extending these services to rural areas often necessitates the deployment of telecommunication towers in locations lacking national grid access. Consequently, service providers typically rely on diesel generators (DG) for power, which introduces significant challenges. These challenges include a high operational expenditure (OPEX), rendering telecom services unaffordable for rural communities, and substantial environmental pollution from greenhouse gas (GHG) emissions. This study aims to present an optimal design, encompassing sizing and economic …

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Physicochemical Properties And Chemical Compositions Of Cashew Nut Shell Liquid Extracted With Carbon Dioxide–Expanded Hexane, Neema Msuya, Joseph Yn Philip, Frank Jacob, Kando K. Janga Jun 2026

Physicochemical Properties And Chemical Compositions Of Cashew Nut Shell Liquid Extracted With Carbon Dioxide–Expanded Hexane, Neema Msuya, Joseph Yn Philip, Frank Jacob, Kando K. Janga

Tanzania Journal of Engineering and Technology (TJET)

Cashew nut shell liquid (CNSL) is a mixture of phenolic compounds that can effectively replace commercially available phenols in various applications. This study investigated the physicochemical properties and chemical composition of CNSL extracted using CO2–expanded hexane (CXH) and compared to the traditional Soxhlet extraction method. Steamed cashew nut shells (sCNS) were used in both cases.  The CXH was carried under varying CO2-mole fractions (0.468-0.892) and temperatures (20-36 °C) whereas Soxhlet extraction was performed at atmospheric pressure and hexane boiling point. Response Surface Methodology (RSM) with Central Composite Face-Centred Design (CCFD) was employed to evaluate the effect …

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Voltage Profile Enhancement In Iliceto Shield Wire Scheme For Rural Electrification: Case Study Of Chalinze-Mbwewe Transmission Line In Tanzania, Ebeneza Chaula, Ibrahim Mwammenywa, Santos Kihwele Jun 2026

Voltage Profile Enhancement In Iliceto Shield Wire Scheme For Rural Electrification: Case Study Of Chalinze-Mbwewe Transmission Line In Tanzania, Ebeneza Chaula, Ibrahim Mwammenywa, Santos Kihwele

Tanzania Journal of Engineering and Technology (TJET)

Rural electrification faces challenges due to significant voltage drops over long transmission distances, affecting reliability and power quality. While the Iliceto Shield Wire Scheme (ISWS) offers a modern cost-effective solution, voltage stability remains a challenge. This study analyses voltage profile enhancement within ISWS, focusing on the Chalinze-Mbwewe section of the 132 kV transmission line, using LTSpice simulations. Due to LTSpice limitations, direct solar PV integration was mimicked by introducing a secondary voltage source at each load centre, producing 33 kV to match the original source voltage. This approach maintained improved voltage profile from Msoga Village to Mbwewe over 80.9 Kilometers. …

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The Impact Of Gender Sensitization On Requirements Elicitation: A Controlled Experiment, Ruthbertha Kateule, Salome Maro, Leonard Peter Binamungu Jun 2026

The Impact Of Gender Sensitization On Requirements Elicitation: A Controlled Experiment, Ruthbertha Kateule, Salome Maro, Leonard Peter Binamungu

Tanzania Journal of Engineering and Technology (TJET)

Previous studies in software engineering have reported the importance of considering gender aspects in various software engineering activities, including requirements engineering, however, to the best of our knowledge, no work has investigated the impact of gender sensitisation on eliciting gender inclusive software requirements. The objective of this study was to understand the impact of gender sensitisation on software requirements elicitation. We conducted a controlled experiment using 40 undergraduate students from three different computing programs at the University of Dar es Salaam. The 40 participants were divided into 9 groups with both males and females. The participants were asked to elicit …

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