BOHR International Journal of Smart Computing and Information Technology

A Comprehensive Study of MATLAB Optimization Toolbox Solvers for Nonlinear Constraints and Objective Functions

2025-01-15T06:48:20+00:00

In this paper, four different solvers available in the optimization toolbox of MATLAB for nonlinear constraints and objective functions have been discussed. Among these solvers, numerical comparisons have been made using CPUTIME as the parameter. The MATLAB solvers described in this study have been applied to obtain the global optimum values of Rosenbrock’s banana functions in multi-dimensions. Additionally, graphical analysis is provided for a visual illustration of the convergence of the optimal solution of Rosenbrock’s function.

Road condition assessment: A framework for automatic detection of surface flaws

2025-02-26T07:39:52+00:00

Road abnormalities such as cracks, unevenness, potholes, and manholes are increasing the number of road disasters in today’s world, particularly in nations like India. Accidents and irreplaceable loss result from uneven and damaged roadways, as well as unneeded openings. The introduction of more Big Data sources through citizen recording devices has created a new foundation for public infrastructure management and control, as well as policy design. Roads that are maintained on a regular basis are less likely to be involved in accidents. However, manually inspecting road damage is costly, time-intensive, and requires a large amount of manpower. Automatically detecting and reporting the presence of potholes, manholes, and other anomalies such as cracks to the appropriate departments can aid in the recovery of road conditions. Detailed real-time performance object detection frameworks (YOLOv5 and RCNN) for detections of potholes are presented. The main objective of this manuscript is to propose a framework that utilizes machine learning and deep learning models for detecting surface flaws.

SAP S/4HANA Cloud: the intelligent core of next-generation ERP

2026-01-02T10:46:32+00:00

SAP S/4HANA Cloud means a full Enterprise Resource Planning suite that is fundamentally made for the cloud, is built around a microservices-based architecture in containers, and keeps the same codebase that can be run on any compatible infrastructure without the need for intervention and can be scaled up or down as required. With its in-memory engine, it allows the fastest reading and writing of data, so if user data is being processed, then analytics and automation that are embedded can also be executed in real time. The single database with a unified database schema brings together finance, logistics, and asset management into one database, thus ensuring that the same data is used and that there is more efficiency in the operations. To ensure both security and compliance, the same basic infrastructure is used for encryption and role-based access control, with the operations being at different layers that not only protect the data but also support the fulfillment of regulations. As a result, companies are upgrading their old systems with SAP S/4HANA Cloud in order to save time in their operations and be able to comply with data protection requirements that are specific to the region and the industry.