Shopping and Basket Analysis by Using an Improved Apriori Algorithm in WEKA

In the past years, e-commerce and online shopping grew fast. It became more helpful by letting people buy the desired product online. Also, to help their users to find the product of their desire easily and make the process simpler, the online shopping websites use some kinds of an algorithm to provide recommendation systems. Often, these systems use techniques like basket analyzing and association rules which is finding the relation between the products together or between users too, so apriori algorithm is one of the famous ones among the recommendation systems. Although it has some limitations while implementing which makes the algorithm less confident or even useless, Let us assume we have 100K records in the sold item list in a system in which about 10K refers to the customers buying only one or two items in their purchase. Therefore, this ten per cent will not affect finding the relation between the items, at the same time these records will make the system less efficient and take more time to analyze, in this paper, we try to show how we can improve the apriori algorithm efficiency and accuracy by some preprocessing on the dataset before applying apriori algorithm by eliminating the unnecessary records, this process helps to make the algorithm better because of reducing the number of transactions, hence finding strong relationships between items easier for the rest of the records.

Education in the Virtual Space: A Sustainable Strategy for Achieving Tension-free and Inclusive Learning in COVID-19 Dispensation

Apart from scalable classrooms, learning in virtual space for pro-technology and pro-Internet generation contributes significantly to developing their inherent domains. This process manifests through the use of digital materials, making the pedagogical scheme enjoyable, catchy, innovative, and inclusive. Today’s staggering educational challenges of tertiary institutions, because of the COVID-19 Pandemic, call for operational rejig. Still alarming is the difficulty of containing the recent evolution into variants. Sequel to this, different countries adopted various strategies to achieve tension-free and inclusive learning environments as part of the ‘new normal.’ This study addresses the pertinence: Could the use of virtual spaces for instructional delivery constitute sustainable strategies for tension-free, and more inclusive, methods of educating learners during and after COVID-19 dispensation? To answer this question, we adopted a theory-based adaptation conceptual approach and inside-outside approach and brought the Nigerian situation into focus where virtual learning was sceptically debunked because of operational and policy slackness. This study agreed with the positive potentials of virtual space and disagrees with earlier studies deficient at uncertainty variables. Based on these, recommends areas of gaps filling in developing countries’ education systems, who stopped learning during the pandemic period for future adoption and adaptation.

Design of Lower Prosthetic Limb Using Additive Manufacturing Processes

This paper presents an approach for designing a prosthetic limb using SolidWorks. The process of stereolithography helped manufacture the prosthetic limb due to the flexibility in the provided parameters. The designed leg weighs 4kg approx. The entire weight acts on the sole of the leg. The sole again underwent a SolidWorks simulation with the application of a 1200N load. The preferred material - TPU - was selected after considering all the factors. The manuscript proceeds with a financial analysis to get a price estimate for the manufacturing of each part of the limb, which is a crucial factor.

Scheduling and Synchronization Algorithms in Operating System: A Survey

An operating system is software that is designed to manage computer hardware and software resources. However, this management requires applying an ample number of techniques and algorithms which are called synchronization and scheduling. The scheduling algorithms are used to arrange the way that the CPU is assigned to the processes, while synchronization is utilized to indicate how to work with multi-processes at the same time. Therefore, they are related to each other. CPU scheduling is a vital phenomenon of an operating system. At present, numerous CPU scheduling algorithms exist as First Come First Serve) FCFS(, Shortest Job First (SJF), Shortest Remaining Time First (SRTF), Priority Scheduling, and Round Robin (RR). In this paper, a survey of the current synchronization and scheduling algorithms have been presented. An overview of each technique with the main algorithms have been described in detail with the advantages and the issues of each algorithm. Furthermore, this paper has dug deep into the real-time operating system scheduling issues, which is the current trend in operating system researches.