Cloud-based Collaboration Platform Research Articles

Design and Development of Collabosphere: A Cloud-based Collaboration Platform

Abstract: CollaboSphere is a cutting-edge cloud-based platform for collaboration that was created mainly with students in mind. It addresses the difficulties associated with information sharing and teamwork in both academic and professional settings. CollaboSphere combines the capabilities of a project directory and collaboration centre to provide features including task/issue tracking, real-time messaging, document sharing. CollaboSphere is powered by the powerful MERN stack, DevOps methodologies, and AWS cloud infrastructure, which guarantees performance, scalability, and reliability. Students may easily interact, share thoughts, and access collective expertise in this environment thanks to its novel features, which include a public project directory and an accessible interface. CollaboSphere is a new era of teamwork and knowledge sharing that embodies development and innovation in student collaboration through careful deployment, management, and scaling strategies

Assuring Academic Integrity of Supervisor Appointment in Post-Graduate Program with Data-Driven Decision Making Strategy: A Proposal

Research supervision is one of the important aspect in academic quality assurance and the sustainbility of the science itself. However, there is lack of attention based on research literature and evidence of good practice on research supervision from the context of academic integrity in higher education. This study aims to develop a data-driven decision making strategy in supervisor selection for post-graduate program based using research projects data. Apart of that, the researchers reviewed the indicator of academic integrity in research supervisory from program standards in masters and doctoral degree by Malaysia Qualification Agency (MQA), international recommendation by UNESCO and Islamic principles according to the roles of the supervisor, administrator and student in the context of research supervisory. This study adopted data analytics and visualization technique using cloud-based collaborative platform as a research method for data acqusition, processing and analyzing the data. The researchers acquired the research projects profile data registered in the institutional database in Universiti Malaysia Pahang from Department of Research and Innovation as a case study. We categorized and mapped the research profile according to Malaysian Research and Development Classification System (MRDCS) code. The combined data was been analyzed and visualized to specific online dashboard to indicate the research experience in fraction of years as a metric. The researchers evaluate the characteristics of the dashboard based on the academic integrity indicators from MQA, UNESCO and Islamic principles as our measures. The result shows that there is a potential usefulness of the proposed strategy in assuring academic integrity for supervisor selection in post-graduate programmes. This novel approach has a potential impact on academic integrity in higher education which can be adopted at larger scale by higher education institution in Malaysia.

A Complete Digital Workflow for Planning, Simulation, and Evaluation in Orthognathic Surgery.

The purpose of this study was to develop a complete digital workflow for planning, simulation, and evaluation for orthognathic surgery based on 3D digital natural head position reproduction, a cloud-based collaboration platform, and 3D landmark-based evaluation. We included 24 patients who underwent bimaxillary orthognathic surgery. Surgeons and engineers could share the massive image data immediately and conveniently and collaborate closely in surgical planning and simulation using a cloud-based platform. The digital surgical splint could be optimized for a specific patient before or after the physical fabrication of 3D printing splints through close collaboration. The surgical accuracy was evaluated comprehensively via the translational (linear) and rotational (angular) discrepancies between identical 3D landmarks on the simulation and postoperative computed tomography (CT) models. The means of the absolute linear discrepancy at eight tooth landmarks were 0.61 ± 0.55, 0.86 ± 0.68, and 1.00 ± 0.79 mm in left–right, advance–setback, and impaction–elongation directions, respectively, and 1.67 mm in the root mean square direction. The linear discrepancy in the left–right direction was significantly different from the other two directions as shown by analysis of variance (ANOVA, p < 0.05). The means of the absolute angular discrepancies were 1.43 ± 1.06°, 0.50 ± 0.31°, and 0.58 ± 0.41° in the pitch, roll, and yaw orientations, respectively. The angular discrepancy in the pitch orientation was significantly different from the other two orientations (ANOVA, p < 0.05). The complete digital workflow that we developed for orthognathic patients provides efficient and streamlined procedures for orthognathic surgery and shows high surgical accuracy with efficient image data sharing and close collaboration.

Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach

Numerical models are essential tools for understanding the complex and dynamic nature of the natural environment. The ability to evaluate how well these models represent reality is critical in their use and future development. This study presents a combination of changepoint analysis and fuzzy logic to assess the ability of numerical models to capture local scale temporal events seen in observations. The fuzzy union based metric factors in uncertainty of the changepoint location to calculate individual similarity scores between the numerical model and reality for each changepoint in the observed record. The application of the method is demonstrated through a case study on a high resolution model dataset which was able to pick up observed changepoints in temperature records over Greenland to varying degrees of success. The case study is presented using the DataLabs framework, a cloud-based collaborative platform which simplifies access to complex statistical methods for environmental science applications.

A hybrid circuits-cloud: Development of a low-cost secure cloud-based collaborative platform for A/D circuits in virtual hardware E-lab

The development and use of cloud based tools in virtual learning has been increasing in recent years. Electronic Design Automation (EDA) or Electronic Computer-Aided Design (ECAD) is one of the most important tools that are used for electronic circuit design and simulation. There is a number of available cloud based EDA tools that are used in industry and educational institutions. This paper introduces a hybrid-circuits cloud-based platform that enables students to design, simulate, and model both analog and digital electronic systems. Circuits-cloud became one of the top best electronic circuit cloud tools, it is ranked as number one in Google search for the “top list of electronic circuit cloud tools”. It integrates the Internet of Things (IoT) and cloud based tools by adding sensors, actuators, and interact with the physical design in the laboratory in the real time. This platform acts as a comprehensive laboratory device to capture components, draw circuits, integrate different components, apply different inputs, simulate, measure, and detect any defect or heated elements. This cloud-based platform introduces an integrated environment for digital, analog and IoT modeling. The platform has a laboratory device that can be integrated into circuits level with the cloud system to test the physical circuits in real-time remotely. This enables in-browser cloud platform for schematic capture, circuit simulation, and emulation. As a testimony of the platform of the modeling and simulation discipline, a list of about 100 types of equipment?s were included and tested. The cloud service is provided by Amazon Web Services (AWS) with high data protection service, AWS also provides encryption, key management, and threat detection that continuously monitors and protects user accounts and workloads. It is estimated to be able to serve approximately 2000 active students and tutors on a monthly average. This platform can be used in distance and blended learning as well.

Nenek: a cloud-based collaboration platform for the management of Amerindian language resources

This article presents Nenek: A cloud-based collaboration platform for language documentation of underresourced languages. Nenek is based on a crowdsourcing scheme that supports native speakers, indigenous associations, government agencies and researchers in the creation of virtual communities of minority language speakers on the Internet. Nenek includes a set of web tools that enables users to work collaboratively on language documentation tasks, build lexicographic assets and produce new language resources. This platform includes a three-stage management model to control the acquisition of existent language resources, the manufacturing of new resources, as well as their distribution within the virtual community and to the general public. In the acquisition stage, existent language resources are either automatically extracted from the web by a crawler or received through donations from users who participate in a monolingual social network. In the manufacturing stage, lexicographic and collaborative tools enable users to build new resources while the acquired and manufactured resources are published in the diffusion stage, either within the virtual community or publicly. We present a life cycle mapping scheme that registers the transformations of the language resources at each of the three stages of language resource management. This scheme also traces the utilization and diffusion of each resource produced by the virtual community. The paper includes a case study in which we present the use of the Nenek platform in a language documentation project of a Mayan language spoken in Mexico's Gulf coast region called Huastec. This case study reveals Nenek's efficiency in terms of acquisition, annotation, manufacturing and diffusion of language resources; it also discusses the participation of the members of the virtual community.