2692-2967ISSN (Online)
2770-0216ISSN (Print)
Iraqi higher education institutions use the virtual classroom platform to replace face-to-face teaching and online learning, and to overcome the challenges of traditional teaching. Therefore, this research aim was to use multimedia applications by using JavaScript programming to design a virtual classroom simulation model to improve the teaching and learning process in higher education. In same the context, virtual classrooms have emerged as an immersive alternative to face-to-face, hands-on classrooms. In addition, the possibility of using virtual classrooms opens new perspectives for Iraqi universities. The method of this work was based on the interaction design (Design, Development, Testing, Analysis, and Evaluation). Thus, was selected Tikrit university as a case study for different levels of students at university colleges, to conduct a thorough evaluation of the virtual classroom platform based on the Multimedia Criteria in Conole’s Dimensions (12 criteria), which is considered as a general criteria evaluation for the proposed virtual classroom platform by experts’ review from different Iraqi universities. In addition to the students’ experience (first to the fourth year of the bachelor's degree) with the proposed virtual classroom platform from different colleges at Tikrit University. It can be a virtual platform for all Iraqi universities in the future. Finally, the results show that many students (200) are satisfied with the features of learning in the proposed model, with high performance and effectiveness in the learning process. Moreover, the results showed also that there is a strong need for the virtual classroom to process the difficult practical aspects of the learning process.
Read MoreDoi: https://doi.org/10.54216/FPA.120217
Vol. 12 Issue. 2 PP. 206-216, (2023)
This research explores the great potential of blockchain based smart contracts in Iraq’s financial and banking sector. It looks into how this technology can improve financial operations by automating transactions and reducing operational cost, increasing transparency, and reducing intermediaries. The research also tackles the challenges of adoption such as lack of digital infrastructure and lack of legal frameworks and cybersecurity risks. The findings show that smart contracts can lead to higher operational efficiency and more strategic flexibility for financial institutions in Iraq. Therefore, the research recommends developing digital infrastructure and establish comprehensive regulatory frameworks to support smart contracts and digital transformation in the financial and banking sector according to international standards.
Read MoreDoi: https://doi.org/10.54216/AJBOR.120204
Vol. 12 Issue. 2 PP. 52-61, (2025)
Determining web services according to Quality of Service (QoS) restrictions is the topic of discussion in this section. Decision tree classifiers are used to accomplish this classification. Because of the ever-changing and expanding nature of online services, it is necessary to accurately categorize them in order to make choosing them more efficient for consumers. It makes use of decision tree techniques, more especially the C5.0 classifier, this is an advancement over older approaches such as the C4.5 classifiers. It incorporates characteristics like as noisy handling, incomplete information administration, and improved decision-making correctness. Web services are classified into four distinct groups: Outstanding, Good, Average, and Poor. These classifications are determined by QoS metrics that include time to response, accessibility, performance, dependability, and success rate. The choice of features is accomplished utilizing an evolutionary algorithm with a wrapper technique with the goal to maximize the effectiveness of this category. This method minimizes the number of repetitive features and improves the method of classification for the purpose of optimization. The resilience and predicted reliability of the algorithm are ensured by additional approaches like as cross-validation and error reduction. These approaches also address difficulties such as overfitting and redundant characteristics. The construction of integrated web services for complicated corporate operations is a particularly valuable use of this technology, which also considerably improves the procedure for making choices for identifying services and consumption. Service 7 stands out with an impressive 98% performance, while Service 6 and Service 3 are also among the top-performing services. Compared to the others, Service 1, Service 2, Service 5, and Service 4 all exhibit comparatively poor results.
Read MoreDoi: https://doi.org/10.54216/AJBOR.120201
Vol. 12 Issue. 2 PP. 01-14, (2025)
The suggested models for the spread of technical breakthroughs make use of a phase structure to illustrate the steps involved in becoming familiar with the problem and making a choice. For it to portray genuine adopting conduct, a time-lag factor is included into the dispersion process. Depicts a two-step dissemination process by taking into account the reliance of adopting on the informed group of potential purchasers. Assuming that a prospective customer first becomes intrigued by an upcoming the item's availability and then accepts the novel idea at an ulterior point, a method of analysis for sales functions that incorporates time delay is proposed. The efficient propagation method for invention is shown using the various lag factors. Applying nonlinear regression modelling to worldwide shipping data of Acer PCs and Samsung smartphones experimentally validates the suggested models for mathematics. Several comparison models are used to evaluate the predicting abilities of the suggested models. By integrating a distributed time delay function into the implementation manage, a theoretical intergenerational diffusion model is created. To measure how long it takes for innovation to be eventually accepted, the distributed time lag function that follows the Erlang distributions is used. This framework incorporates switch and substituting, two forms of pragmatist shift behaviour. Using real shipping data of LCD (Liquid Crystal Display) computer monitors from consecutive generations, the predicted effectiveness of the suggested methods is examined and contrasted with well-established research. Here is the total accuracy of the approaches that have been proposed: When contrasted with more conventional models, MGDM 1 achieves a 99.33% accuracy rate, MGDM 2 a 99.81% rate, and MGDM 3 a 99.91% accuracy rate.
Read MoreDoi: https://doi.org/10.54216/AJBOR.120202
Vol. 12 Issue. 2 PP. 15-31, (2025)
This paper presents a multi-server Markovian queuing-inventory system (MQIS) that incorporates attractionretention (AR) mechanisms for impatient customers and models catastrophic inventory losses within a warehouse setting. The system consists of C identical servers, a limited waiting area, and a storage capacity of Q items. Periodic disruptions may destroy all inventory in the system, compelling waiting customers either to remain until stock is replenished or to exit the system. A subset of servers may take joint vacations when no customers are waiting. To analyze this queuing-inventory system (QIS), we derive balance equations using a three-dimensional continuous-time Markov chain framework, solving for steady-state solutions through a recursive method. We then derive performance metrics and identify special-case queuing-inventory models within the broader system. A cost-loss model is formulated to optimize the service rate and server vacation strategies, minimizing overall costs. A genetic algorithm is employed to conduct a cost analysis. We collected primary data from the Ethio Telecom district head office in Arba Minch, Ethiopia to validate our theoretical findings. The empirical analysis serves a dual purpose: to investigate performance measure sensitivity to parameter variations and to discuss an optimization problem aimed at minimizing expected total cost (ETC) while assessing the impacts of AR mechanisms and catastrophic events on ETC.
Read MoreDoi: https://doi.org/10.54216/AJBOR.120203
Vol. 12 Issue. 2 PP. 32-51, (2025)