Securing Drug Traceability: Block chain-Enhanced Privacy Protection and Anti-Counterfeit Measures in Pharmaceutical Supply Chains

Abdulrahman Mohammed Alshehri; Thamer Alhussain

doi:https://doi.org/10.54216/FPA.170206

International Journal of BIM and Engineering Science | 2024

Developing Awareness of Companies and Individuals in the “BIM” System: Systematic Review

This systematic review aims to get the awareness and implementation of Building Information Modeling (BIM) among companies and individuals in the construction industry. The objective of that is to assess the current understanding of BIM, identify challenges in its adoption, and propose strategies to enhance its integration for improved project outcomes. The review employed bibliometric and content analysis methods. A comprehensive search of academic databases such as Google Scholar, Scopus, and Web of Science was conducted using keywords like "BIM awareness," "BIM adoption," and "Building Information Modeling training." Then selection criteria were established to include studies focused on BIM awareness and implementation, published between 2010 and 2023. Data extraction and synthesis were performed to analyze trends, challenges, and best practices in BIM adoption. The analysis revealed that while BIM offers significant benefits in improving communication, reducing errors, and enhancing resource efficiency, there is a notable lack of understanding and clear guidelines among stakeholders. Key challenges identified include high implementation costs, resistance to change, and insufficient training resources. However, successful case studies demonstrated that strategic training programs and robust support frameworks significantly enhance BIM adoption and utilization. The review concludes that increasing awareness and providing comprehensive training on BIM are crucial for its successful adoption in the construction industry. Therefore, developing clear implementation strategies and fostering a culture of continuous improvement can mitigate the identified challenges. The findings highlight the need for further research to develop tailored solutions that address the specific needs of different stakeholders, ultimately leading to more effective and widespread use of BIM in construction projects

groups

Heba Mohamad Dala mail -

Sonia Ahmed mail

link https://doi.org/10.54216/IJBES.090103

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Using GIS in Sustainable Urban Planning: Evaluation of Educational Services in Basilia City

The study presents an applied model of how GIS technology can be used to analyze spatial information and highlight the spatial relationships between them, as the research relied on studying the areas of distribution of educational services in the city of Basilia as one of the cities located in the Syrian capital, Damascus, and then the research extracts the spatial relationships and the nature of the distribution of educational services within the region and identifying the service areas and access distances for each category and comparing them with the approved standards. GIS technology is a good tool for this type of applied studies, where maps can be entered, spatial classifications and distribution of services and the use of Spatial Analyst tools and Spatial Statistics tools in modeling information and analysis, highlighting the relationship in the spread of these services within the region, assessing the pattern of spread and identifying the places that lack those services, and then developing recommendations aimed at sustainable urban planning.

groups

Mohammad Ibrahim mail -

Sonia Ahmed mail -

Shaza Aljraki mail

link https://doi.org/10.54216/IJBES.090104

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

The Adoption of Building Information Modeling (BIM) in Construction Contracts in Syria

The primary objective of this study is to evaluate and propose modifications to the current construction contracting system in Syria to accommodate and fully leverage Building Information Modeling (BIM) technology. By identifying deficiencies and proposing a comprehensive contractual framework, the research aims to enhance project delivery efficiency and collaboration in public sector construction projects. This research employs a descriptive-analytical approach, utilizing case studies and interviews. The Syrian Petroleum Company's traditional contract served as the primary case study. Detailed content analysis was conducted on existing contract clauses, followed by bibliometric analysis of relevant literature to inform potential contractual modifications. Interviews with key stakeholders provided practical insights into current contractual practices and challenges. The study identified significant shortcomings in the current contracting system, which fails to address the needs of modern construction technologies like BIM. Key findings include discrepancies between contract quantities and actual project requirements, frequent delays necessitating contract extensions, and inequitable risk distribution. Additionally, the lack of clear dispute resolution mechanisms often leads to costly and time-consuming legal battles. The research concludes that substantial updates to the current contracting framework are imperative to integrate BIM effectively. Proposed modifications include incorporating a BIM Execution Plan (BEP), clearly defining digital model ownership and responsibilities, and establishing equitable risk management and dispute resolution protocols. Implementing these changes can significantly improve project outcomes, fostering transparency, collaboration, and efficiency in public sector construction projects in Syria.

groups

Samar Kablaghli mail -

Mohammad Shaban mail

link https://doi.org/10.54216/IJBES.090105

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Adapting Traditional Sustainable Architectural Elements in Modern Buildings Utilizing Modern BIM Technologies

This study aims to explore the role of traditional architectural elements in promoting sustainability and how to integrate them into modern buildings by utilizing modern technologies, especially Building Information Modeling (BIM), to restore heritage identity and apply green building standards to modern residential buildings. Despite the advancements in modern urban and architectural developments, sustainability is an ancient concept. Traditional architecture in our region has successfully balanced the use of natural resources with environmental preservation, thereby providing cultural and environmental identity to heritage buildings. In Aleppo, modern residential buildings suffer from a loss of this deep connection to the environment and authentic identity. This research employs BIM software to model and analyze the heritage house of Ajqabash, assessing its compliance with green building standards. The study highlights the role of modern BIM technologies in facilitating environmental analysis and emphasizes the importance of traditional elements, such as the iwan and the internal courtyard, in providing thermal comfort for residents. By studying and analyzing traditional architectural elements and using BIM techniques, the article demonstrates that the concept of sustainability is deeply rooted in our architectural heritage. The Revit program was utilized to model the Ajqabash house in its architectural and structural details, and an energy simulation plug-in was used to analyze the sun's impact on the house. The findings underscore the effectiveness of BIM in conducting environmental studies and in preserving heritage while promoting sustainability. The goal is to develop new design criteria that combine heritage architectural identity with global sustainability standards. This approach aims to contribute to building environmentally and economically sustainable architectural communities and providing innovative solutions to modern housing problems in Aleppo. Ultimately, the research seeks to honor our rich architectural heritage while addressing contemporary environmental challenges.

groups

Sima Bazerbashi mail -

Sakher Olabi mail -

Hala Aslan mail

link https://doi.org/10.54216/IJBES.090106

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Neutrosophic and Information Fusion | 2024

On the Numerical Solutions Based on the Exponential Finite Difference Method for the Kuramoto–Sivashinsky Equation and Numerical Stability Analysis

In this paper, we solve the Kuramoto-Sivashinsky Equation numerically by finite-difference methods, using two different schemes which are the Fully Implicit scheme and Exponential finite difference scheme, because of the existence of the fourth derivative in the equation we suggested a treatment for the numerical solution of the two previous scheme by parting the mesh grid into five regions, the first region represents the first boundary condition, the second at the grid point x1, while the third represents the grid points x2,x3,…xn-2, the fourth represents the grid point xn-1 and the fifth is the second boundary condition. We also, study the numerical stability by Fourier (Von-Neumann) method for the two scheme which used in the solution on all mesh points to ensure the stability of the point which had been treated in the suggested style, we using two interval with two initial condition and the numerical results obtained by using these schemes are compare with Exact Solution of Equation Excellent approximate is found between the Exact Solution and numerical Solutions of these methods.

groups

Agnes Osagie mail

link https://doi.org/10.54216/NIF.040204

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

Neutrosophic and Information Fusion | 2024

On the Problem of Inverting Discrete Self-Regression Models to Continuous Models

In this paper, we discuss the problem of converting auto-regression models at a discrete time into auto-regression models at continuous time, based on the idea of converting auto-regression models from first to second order. We study the general formula of AR (p) and its ability to convert from discrete to continuous time. Also, we use our model to study some real-life problems as a direct application of our approach.

groups

Taher Ahmed Jubbori mail

link https://doi.org/10.54216/NIF.040205

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

Pure Mathematics for Theoretical Computer Science | 2024

Prediction of Tuberculosis in Iraq Using A ZIPR Model

In this article, the ZeroInflated Poisson Regression model (ZI-PRM) was used to predict the number of tuberculosis patients by estimating the model using the maximum likelihood method and compared with Poisson regression model (PRM). The results showed that the ZIPRM best represented TB data from PRM. The PRM showed that the importance of some variables, although they were not significant as a cause of the TB data. The ZIP model indicates that there will be more TB cases in 2027 than there were in 2023. These findings point to an improvement in the nation's health status.

groups

Afraa A. Hamada mail

link https://doi.org/10.54216/PMTCS.040202

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2025

A Novel Behavioral Monitoring based Trust Model for enhancing Edge Security using Adaptive Neuro-fuzzy Inference System

The Internet of Things (IoT) is in a recent state of instability due to the flooding of virtual data. It is believed that IoT and cloud computing have met their maximum thresholds and loading them with data after this point will only deteriorate their performance. Hence, edge computing has been introduced to mitigate the processing burden of IoT. To meet the security demands of edge computing, we intend to combine the method of blockchain along with edge computing for a better solution. Accordingly, this paper proposes the introduction of a novel blockchain model that is based on artificial neural networks and trust estimation called the behavioral monitoring trust estimation model. Performance metrics such as accuracy, precision, recall, and F-measure are calculated under normal conditions and under the injection of attacks like false data injection, booting attack, and node capturing. The proposed behavioral monitoring trust classification model is compared with existing classifiers like Naive Bayes, K-nearest neighbor, Auto Encoder, Random Forest, and Support Vector Machine, and is found to have improved performance. Additional evaluation parameters like execution time, encryption time, storage cost, computational overhead, energy efficiency, and packet drop possibility are also calculated for the proposed model and compared with existing blockchain techniques of Bitcoin, Ethereum, Hyperledger, Direct and indirect trust model, and mutual trust chain based blockchain model. The proposed model achieved an accuracy of 95%, a precision score of 90%, a recall score of 94%, and an F-measure of 94% indicating superior performance.

groups

D. Jayakumar mail -

K. Santhosh Kumar mail

link https://doi.org/10.54216/FPA.170204

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2025

Enhancing Cloud Computing Efficiency with Crocodile Optimization Algorithm: A Novel Approach to Distributed Workload and VM Management

Cloud computing has introduced itself as a mighty mechanism for delivering customers through the service model with on-demand, scalable, and instant access to computer resources. It will conduct effective load balancing and resource management, high importance so that the cloud system works with optimized performance and resource utilization. This gives a new strategy in load balancing and virtual machine (VM) control in cloud computing applied in the field using the Crocodile Optimization Algorithm (COA) for better performance. Inspired by crocodile hunting behaviors, the COA-based strategy is adopted to balance loads and manage VMs. This approach seeks to balance the number of the workload given to VMs with respect to the processing power of VMs and also the distribution of workload. It best uses resources in such a way that tasks are dynamically distributed to VMs in such a way that response time is at its minimum, and thus overall efficiency is enhanced in cloud computing. On the other hand, COA-based load balancing incorporates VM management techniques like migration and scaling to be adjustable in relation to the changing conditions of the workload. This allows dynamically adjusting the allocation of resources with respect to current demands, in such a way that assures optimal utilization of computational resources with high performance. The proposed approach was evaluated using simulations through CloudSim, one of the most adopted tools for simulating cloud computing. The COA effectively works are divided between the VM, which in turn will lead to better response time for the user request and improve cloud resource utilization. That is to mean, subsequent research would be some type of unique attempt in the area of load balancing and VM management in cloud computing, based on the Crocodile Optimization Algorithm. This approach improves efficient cloud computing through the balancing of load distribution, maximization of resource utilization, and lowering of response time.

groups

Ibrahim A. Ibrahim mail -

Warshine Barry mail -

Narek Badjajian mail

link https://doi.org/10.54216/FPA.170205

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2025

Securing Drug Traceability: Block chain-Enhanced Privacy Protection and Anti-Counterfeit Measures in Pharmaceutical Supply Chains

The pharmaceutical industry encounters numerous challenges in the management of medications and ensuring their authenticity, as well as safeguarding sensitive information within the supply chain. Maintaining the integrity of drug manufacturing processes, transaction records, and patient data from unauthorized access or tampering is crucial. Any breach in security could undermine trust throughout the entire supply chain.  To mitigate these concerns, a multi-layered approach is employed. Initially, data encryption using QR codes with Attribute-Based Encryption provides a foundation for securing information. This is followed by an innovative strategy that combines Red Panda Optimization (RPO) Algorithm and Group Teaching Optimization algorithms (GTOA) to optimize encryption key selection. Finally, Multi-Party Computation (MPC) protocols along with Shamir's Secret Sharing enhances overall security measures. These procedures ensure that only authorized individuals have access to critical information essential for identifying counterfeit products and maintain confidentiality through Secure MPC verification without compromising sensitive details.

groups

Abdulrahman Mohammed Alshehri mail -

Thamer Alhussain mail

link https://doi.org/10.54216/FPA.170206

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new