The final year project (FYP) is considered a capstone course in information technology (IT) programmes and involves the development of a software product. Currently, students are using the traditional software development life cycle approach to manage their FYPs. However, this approach can cause many difficulties. This paper proposes an alternative software development model for managing the FYP in an IT and IT-related degree programmes of study. First, a benchmarking exercise was undertaken to compare the software developed for business purposes with that developed for educational purposes, which took into account the ten project management knowledge areas. The result of this exercise indicated that the differences that exist between business and educational software necessitate the development of a new software development model that is specifically tailored to the development of educational software. Therefore, capability maturity model integration (CMMI) was modified to generate a new version of CMMI – named educational CMMI – which could be used to evaluate educational software projects and detailed mathematical descriptions of the proposed model were composed. As conclusions, the proposed model was then assessed by students’ results and by questionnaire feedback, the results of which showed that the proposed model was both useful and applicable for its intended target users and context.
Robot navigation in indoor environments has become an essential task for several applications, including situations in which a mobile robot needs to travel independently to a certain location safely and using the shortest path possible. However, indoor robot navigation faces challenges, such as obstacles and a dynamic environment. This paper addresses the problem of social robot navigation in dynamic indoor environments, through developing an efficient SLAM-based localization and navigation system for service robots using the Pepper robot platform. In addition, this paper discusses the issue of developing this system in a way that allows the robot to navigate freely in complex indoor environments and efficiently interact with humans. The developed Pepper-based navigation system has been validated using the Robot Operating System (ROS), an efficient robot platform architecture, in two different indoor environments. The obtained results show an efficient navigation system with an average localization error of 0.51 m and a user acceptability level of 86.1%.
Fractional versions of metric based networks invariants widen the scope of application in fields of intelligent systems, computer science and chemistry including, robot navigation, sensor networking, linear optimization problems, scheduling, assignment, operation research problems, image processing and drug discovery. It plays vital role in the study to check structural properties of the networks such as complexity, modularity and accessibility. Rotationally symmetric and planer networks have key importance in the fields of robot navigation, networking, telecommunication and chemistry due the structure of these networks which help in optimal rate of data transfer and minimize the time taken and resources used. In this paper we introduce a combinatorial technique to compute local fractional strong metric dimension (LFSMD) of networks. The technique is further used to compute LFSMD of certain rotationally symmetric planer networks.INDEX TERMS local fractional strong metric dimension, metric dimension, triangular circular ladder, quadrangular circular ladder, pentagonal circular ladder.
Modern wheelchairs, with advanced and robotic technologies, could not reach the life of millions of disabled people due to their high costs, technical limitations, and safety issues. This paper proposes a gesture-controlled smart wheelchair system with an IoT-enabled fall detection mechanism to overcome these problems. It can recognize gestures using Convolutional Neural Network (CNN) model along with computer vision algorithms and can control the wheelchair automatically by utilizing these gestures. It maintains the safety of the users by performing fall detection with IoT-based emergency messaging systems. The development cost of the overall system is cheap and is lesser than USD 300. Hence, it is expected that the proposed smart wheelchair should be affordable, safe, and helpful to physically disordered people in their independent mobility.
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