Neutrosophic N-structures over Hilbert algebras

Aiyared; N.

doi:https://doi.org/10.54216/IJNS.230318

International Journal of BIM and Engineering Science | 2023

Implementing Building Information Modeling (BIM) in Sustainable Urban Design (A comparative study between Masdar City and Marotta City)

This thesis explores the utilization of Building Information Modeling (BIM) technology in the design of sustainable cities. It provides a comprehensive definition of BIM, with a focus on its various dimensions. The concept of sustainable cities and green buildings is examined as a foundation for achieving sustainable development goals. The thesis also addresses sustainable project phases and how BIM can be integrated into these stages. The thesis emphasizes the role of BIM in enhancing the design of sustainable cities by improving energy consumption and elevating air and environmental quality. The research also delves into how BIM can be used to enhance interaction and collaboration among stakeholders during the design phases. Practical aspects of the research are illustrated through an analytical comparative study between the cities of Masdar and Marotta, with a specific focus on the results derived from the application of BIM in these projects. The research presents practical recommendations that enhance the integration between BIM and the design of sustainable cities. The thesis concludes by summarizing the comprehensive results and recommendations, reaffirming the crucial importance of applying BIM to enhance sustainability in urban design.

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Sali Haidar mail -

Mohammad shaban mail

link https://doi.org/10.54216/IJBES.070205

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2026

Statistical Performance Evaluation of UDP Communication in IoT Environments: A Comparative Study of Small-Scale vs Large-Scale Packet Transmission under Latency Variations

With the rapid expansion of the Internet of Things (IoT), reliable and efficient data transmission has become a critical requirement for large-scale heterogeneous deployments. This paper presents a comprehensive simulation-based performance analysis of three widely adopted IoT transport protocols—UDP, CoAP, and MQTT—under Rayleigh fading channel conditions using a MATLAB-based framework. The study evaluates the transmission of 100 and 1000 data packets under three distinct latency regimes: low, medium, and high. Key performance metrics include end-to-end delay, jitter, packet loss ratio, and throughput. A novel Adaptive Exponential Moving Average (EMA) jitter buffer algorithm is proposed, achieving 57–65% jitter reduction across all tested scenarios. Protocol comparison reveals that UDP achieves the lowest average delay (20 ms under low conditions), while MQTT incurs the highest overhead (+20 ms) due to broker relay. Monte Carlo statistical analysis with 500 simulation runs confirms result convergence within 0.5 ms between 100-packet and 1000-packet scales. The findings provide practical design guidelines for IoT protocol selection and establish a reproducible benchmark for evaluating transport-layer behavior in constrained wireless ad hoc networks.

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Eman Gaber mail

link https://doi.org/10.54216/IJWAC.100101

Volume & Issue

Vol. Volume 10 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Developing a Model to Improve the Efficiency of Maintenance Management for Service Buildings Using BIM and Power BI: A Case Study

Maintenance management has a major role in maintaining service buildings and improving their performance. Therefore, in this research, building information modeling (BIM) was applied to one of the university buildings to obtain detailed and accurate information about the building’s components and link maintenance data to each element of the building through the capabilities and flexibility of the Revit program, which is reflected in the It is evident in the ability to add parameters to the elements and thus sort the maintenance data according to the elements of the building and model it to turn into information that can be extracted, analyzed and explored for the implicit knowledge in it through business intelligence techniques, to understand it and make appropriate decisions, which is reflected in the accuracy of maintenance work and achieving the best quality of service at the lowest cost. . Relying on the descriptive and analytical approach, by describing the reality of maintenance management in the Maintenance Department, describing the architectural maintenance work that took place within a period of 5 years (2019-2023), and conducting an accurate description of all the elements of the building to create a BIM model for the building of the College of Mechanical and Electrical Engineering. Then link the maintenance data with the operational data of the model by entering the maintenance parameters on the architectural elements of the building (doors - walls - windows - false ceilings - floors) and taking advantage of what Revit technology provides in creating tables specific to the building, and exporting them to Excel and then to the Power program. Bi, which provides the ability to analyze data, identify the most important maintenance problems and the maintenance cost for each item, determine the proportions of implemented and non-implemented items, determine the reasons for non-implementation, and measure the performance of workshops and specialists. In addition to achieving a spatial and visual link between the most important problems and their architectural spaces, predicting an approximate budget for future architectural maintenance in the coming year, and evaluating the building elements by giving technical marks to determine the periodic maintenance items for the next year for the door element, studyinMaintenance Management; Service buildings; Building information modeling BIM; Theuniversity; Business Intelligence BIg the expected cost of maintaining the doors, and determining the necessary materials to be supplied for the coming year.

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Mais Subra mail -

Fayez Jrad mail -

Sanaa AL Mezawy mail

link https://doi.org/10.54216/IJBES.080102

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

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Journal of Intelligent Systems and Internet of Things |

Design of an Iterative Q Learning Model for Multistage Classification of Diabetic Retinopathy & Glaucoma

This study addresses the escalating prevalence of diabetic retinopathy (DR) and glaucoma, major global causes of vision impairment. To improve diagnostic accuracy and classification speed, we propose an innovative iterative Q Learning model integrated with Fuzzy C Means clustering. Traditional diagnostic frameworks often struggle with accuracy and delay in disease stage classification, particularly in discerning complex features like exudates and veins. Our model overcomes these challenges by combining Fuzzy C Means with Q Learning, enhancing precision in identifying key retinal components. The core of our approach is a custom-designed 45- layer 2D Convolutional Neural Network (CNN) optimized for nuanced detection of DR and glaucoma stages. Performance on IDRID and SMDG-19 datasets and their samples demonstrates a 10.9% higher precision, 8.5% increased overall accuracy, 8.3% improved recall, 10.4% higher Area under the Curve (AUC), 5.9% enhanced specificity, and a 2.9% reduction in delay compared to existing methods. This model has transformative potential in revolutionizing DR and glaucoma diagnostics, paving the way for timely medical interventions and potentially reducing vision loss. The integration of advanced machine learning with medical imaging sets a precedent for future research in ophthalmology and beyond in clinical scenarios.

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Volume & Issue

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Journal of Intelligent Systems and Internet of Things |

Design of an Iterative Q Learning Model for Multistage Classification of Diabetic Retinopathy & Glaucoma

This study addresses the escalating prevalence of diabetic retinopathy (DR) and glaucoma, major global causes of vision impairment. To improve diagnostic accuracy and classification speed, we propose an innovative iterative Q Learning model integrated with Fuzzy C Means clustering. Traditional diagnostic frameworks often struggle with accuracy and delay in disease stage classification, particularly in discerning complex features like exudates and veins. Our model overcomes these challenges by combining Fuzzy C Means with Q Learning, enhancing precision in identifying key retinal components. The core of our approach is a custom-designed 45- layer 2D Convolutional Neural Network (CNN) optimized for nuanced detection of DR and glaucoma stages. Performance on IDRID and SMDG-19 datasets and their samples demonstrates a 10.9% higher precision, 8.5% increased overall accuracy, 8.3% improved recall, 10.4% higher Area under the Curve (AUC), 5.9% enhanced specificity, and a 2.9% reduction in delay compared to existing methods. This model has transformative potential in revolutionizing DR and glaucoma diagnostics, paving the way for timely medical interventions and potentially reducing vision loss. The integration of advanced machine learning with medical imaging sets a precedent for future research in ophthalmology and beyond in clinical scenarios.

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Pure Mathematics for Theoretical Computer Science | 2023

On 2-Commutative Derivations of Semi-prime Rings

The main purpose of this paper is to study some results concerning the generalized derivation D defined on semi-prime ring R, we obtain a derivation d which commuting and 2-commuting on R. Also, we present many examples to clarify the validity of our work.

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Othman Al-basheer mail

link https://doi.org/10.54216/PMTCS.020203

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2024

Design, Simulation and Analysis of Multi-Dimensional Multiple Access (MDMA) Schemes Using MATLAB for Quality of Service (QoS) Enhancement

To provide better Quality of Service (QoS), which is expected in contemporary 6G wireless networks. We project a MDMA scheme to fulfill UE-specific QoS needs with the aid of multi-dimensional radio resource cost. This method can be successfully called Multi-Dimensional Radio Resource Allocation (MDRA). Specifically, the planned scheme incorporates two novel aspects: for each UE, the choice of user-specific non-orthogonal multiple approach mode whose cost is determined by UE-specific non-orthogonal interference cancellation; and allocating multiple dimensional radio resources for co-existing UEs in dynamic network environment. To reduce the costs of using UE-specific resources, the BS mounts UEs with diverse multi-domain resources. Specific to each UE coalition by taking into consideration restrictions such as the availability of resources, the perceived quality of those resources, and the possibility for use. Every UE that is a part of the coalition has access to the radio resources that it needs, which helps to lower the costs of use while preventing resource-sharing disputes with the other nodes in the coalition. Furthermore, the allocation of multi-dimensional radio resources among co-existing user equipment makes it possible to solve the issue of maximizing the sum of cost-conscious utility. This is done to fulfil UE-specific quality of service needs as well as varied resource circumstances on the user equipment side. The gradient convexity with low complexity approximation and the Lagrange double decomposition approach are used in the development of the solution to this NP-hard issue. The efficacy of the system that we have presented is shown via the use of numerical simulations and a comparison of its performance with that of other methods.

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Ishwarlal Rathod mail -

Ankit Saxena mail

link https://doi.org/10.54216/JISIoT.110210

Volume & Issue

Vol. Volume 11 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2023

On The Minimal Sets and Stability Conditions For Compact Sets In I(X)-spaces

The set of all isometries on a metric space X with the usual composition of functions form a group and it is called the group of isometries and is denoted by I(X). In this paper we study the generalization of the concepts of minimal sets, stability and attraction, from dynamic system into the topological transformation group (I(X),X).We find that the collection of all minimal sets of I(X)-space is the collection of all the closures of orbits of X and we found some useful results about stability and attraction and we fixed the relationship among it's kinds.

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Murhaf Obaidi mail

link https://doi.org/10.54216/PMTCS.020204

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2023

On Some Results About P - Lindelöf Spaces

In this work, we study p-Lindelöf spaces, a concept which is "stronger" than Lindelöf spaces. Every p-compact space is proven to be p-Lindelöf space, so the concept of p-Lindelöf is a generalization of the concept of p-compact. Most of the theorems which are valid for p-compact spaces will be also valid for p-Lindelöf spaces, (with a slight modification). We also study local p-Lindelöf spaces with many related theorems and examples.

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Murhaf Obaidi mail

link https://doi.org/10.54216/PMTCS.020205

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024