Explore Projects

Pv6 is the future of the internet, and this created a necessity for a more scalable survey tool to understand how routing and DNS functions work. Survey 6 is designed based on this need to passively collect IPv6 traffic data for cyber security research. Survey 6 is a geo-distributed grid application with a C&C Server as its center and the probes as the packet collection application for intercepting IPv6 traffic on Linux. The data collected from the probes are sent to the C&C server, which is processed and aggregated.

Regolith is a productivity-focused Ubuntu-based desktop environment that combines tiling window managers (Sway, i3) with GNOME components for system management and GUI features. While GNOME depends on Mutter and custom Wayland protocols unsupported by wlroots-based compositors like Sway, this limits modularity and integration. To improve flexibility, this project aim to integrate the new Cosmic desktop components (cosmic-epoch), which, despite being in early alpha, offers a more modular and integration-friendly design.

CoreDNS (https://github.com/coredns/coredns) is a cloud-native DNS server with a focus on service discovery. While best known as the default DNS server for Kubernetes, CoreDNS is capable of handle many other scenarios within or outside of Kubernetes clusters to make easy infrastructure management. One such case is certificate management. This project is to provide ACME protocol support so that it is possible to have automatic certificate management through CoreDNS. More details and discussions are available in https://github.com/coredns/coredns/issues/3460.

Meshery's UI is powerful and utilizes frameworks like Next.js and Material-UI. However, it relies on outdated technology stacks, resulting in performance inefficiencies and increased maintenance overhead. Expected Outcome: Migrate from MUI v4 to MUI v5 and fully utilize features of Nextjs v13. Migrate all class based components to function based component. Reduced code complexity and improved maintainability for long-term sustainability. Responsive and accessible UI that adapts to diverse devices and user needs.

It is a forked project from the http-traffic-simulator npm package, which was developed to provide simulated throttled http traffic for testing purposes, towards specific http endpoints. It’s goal is to make this npm package a stand-alone desktop app as well as offer it as a web-server exposing the apis that even supports the authentication and authorization with OpenIDC. And further dockerize the app and deploy it to kubernetes. This way it will be offered as a stand-alone desktop app. Deliverables: - A desktop app - Server artifacts deployed to kubernetes

This research project addresses the problem of time-consuming debugging of RPM build failures in openSUSE. By integrating the Log Detective model into the openSUSE workflow. The integration will be achieved through developing an osc plugin for command-line interaction and creating a web component within the Open Build Service (OBS) interface.   The project aims to deliver a research document detailing Log Detective's AI approach, tools and scripts for log submission, and proof-of-concept implementations of both the osc plugin and the OBS web component.

The minimum constituent parts of an overall Software Bill of Material (SBOM) – referred to as NTIA’s minimum elements – are three broad, interrelated areas (Data Fields, Automation Support, and Practices and Processes). These elements will enable an evolving approach to software transparency, capturing both the technology and the functional operation. The purpose of this project is to check if an SBOM document contains the minimum required data fields such as the supplier name, component name, component version, unique identifiers, dependency relationships, author of the SBOM, and timestamps.

Meshery's UI is powerful and utilizes frameworks like Next.js and Material-UI. However, it relies on outdated technology stacks, resulting in performance inefficiencies and increased maintenance overhead. Expected Outcome: Migrate from MUI v4 to MUI v5 and fully utilize features of Nextjs v13 and Sistent. Migrate all class based components to function based components. Reduced code complexity and improved maintainability for long-term sustainability. Responsive and accessible UI that adapts to diverse devices and user needs.

gprMax users currently visualize simulation output using static terminal scripts with no interactivity. This project builds a reactive web-based dashboard using marimo, replacing that workflow with four components: parameter controls with live geometry preview, a simulation progress tracker, post-processing visualization for A-scans and B-scans, and a set of Reactive Recipes for common modelling scenarios. A working prototype covering all three visualization components is already built and running against real gprMax HDF5 output on the devel branch.

In recent discussions with the team, we decided that Prometheus won't be exporting its data with the OTLP format, however, Prometheus is still committed to have good import/export compatibility with OpenTelemetry. Last year Prometheus release the second version of its Remote-Write protocol, which translates a lot better with the OTLP format and the team started working on a PRW receiver in the collector-contrib project. This project is about getting this component into the finish line and publish it as an stable component in the collector. Expected Outcome: PrometheusRemoteWriteReceiver considered Alpha and released with OpenTelemetry-Collector-Contrib.

CodeLabz is a platform where the users can engage with online tutorials and the organizations can create tutorials for the users. The platform is developed using ReactJS front-end library and the back end is developed using the Google Cloud Firestore and Google Firebase Real-Time database. The project has a great potential of being provided to a larger audience as it serves to a routine purpose for learners and publishers. There are components like Profile, Feed, Authentication forms and Organizational Profile, etc. The components are having inconsistent designs and visual effects that need to be improved.

OpenTelemetry is made up of an integrated set of APIs and libraries as well as a collection mechanism via an agent and collector. These components are used to generate, collect, and describe telemetry about distributed systems. This data includes basic context propagation, distributed traces, metrics, and other signals in the future. OpenTelemetry is designed to make it easy to get critical telemetry data out of your services and into your backend(s) of choice. For each supported language it offers a single set of APIs, libraries, and data specifications, and developers can take advantage of whichever components they see fit.

The CVE Binary Tool is a widely used open-source vulnerability scanner that identifies components in binaries and matches them with known vulnerabilities from the CVE database. However, the current implementation requires downloading a 2.5GB CVE database, which is time-consuming and resource-intensive. Many users have expressed the need for a No-Scan mode that allows generating Software Bill of Materials (SBOMs) without downloading CVE data. This project aims to introduce a lightweight SBOM generation feature that extracts component metadata without querying an external database.

<p>MapMint4ME (MM4ME) is an android application allows user to take photos, record their positions, and view their current location on map based on configuration settings of their MapMint server. The Application stores data in the absence of internet connectivity and uploads recorded data to the server when it's online. The aim of the project is to add Augmented Reality (AR) support in MapMint4ME and add features like adding markers while capturing images, drawing shapes on scenes, calculating the distance between points, calculating the area of an object in the frame and geotagging captured data.</p>

App Inventor 2 allows users to extend its functionality by using third-party extensions. Extensions are similar to built-in components, they can do everything from showing UI elements on the screen to performing tasks in the background. However, unlike built-in components, extensions are unable to have a mock preview in App Inventor's designer. The goal of this project is to make it possible for extension developers to be able to create mock previews for their extensions using web technologies, while also making sure that the security and stability of App Inventor is not compromised because of untrusted third-party code.

<p>The objective of the project was to develop a mobile application that can not only avail OpenEMR features to increase accessibility but can also unlock a large range of medical usage which needs image processing or hardware which can be found in the daily use smartphone. It will be split into two repositories, openemr/app-golang-openemr will contain the go server which can be used to create an independent WebRTC server and it will also have the API endpoints for OCR. openemr/app-flutter-openemr will cover the flutter hybrid app.</p>

This project aims to develop the frontend components for managing clusters in the Inventory and Transport Space (ITS). Users should be able to onboard and manage clusters through an intuitive UI. Objectives: - Develop UI components for cluster onboarding and management. - Implement validation and error handling for cluster registration. - Ensure smooth integration with backend APIs for real-time updates. - Provide a guided onboarding experience for adding new clusters. Expected Outcomes: - A fully functional ITS management UI. - Improved usability for adding and managing clusters. - Seamless backend integration for real-time data updates.

The LiquidArt AI is a mobile application developed in Flutter that allows users to generate images using a text or an audio to text prompt and a selection of APIs (NightCafe, a local server of Stable Diffusion, AI Art Maker, Dall-e), a multi-screen system for displaying geographic information. The application uses a Node js server to connect to the Liquid Galaxy system and a custom API to display the images on the screens. The project also includes a new local machine for the LG project that has a GPU and the ability to create AI art based on stable diffusion.

<p>While building software with Shaka, developers can import Player’s own user interface to receive bundled component classes that help them achieve a high-quality, accessible and localized experience.</p> <p>Natively, the library includes several configuration options, allowing applications to reach an ideal fit between the interactive aspects of the display and the intended content.</p> <p>This project aims to introduce enhancements for the options available in the user interface plugin, through the refactoring of existing components and the addition of new scalable interfaces, delivering a highly customizable experience for developers.</p>

Meshery design is a common practice of both configuring and operating cloud native infrastructure functionality in a single, universal file. We are seeking to enhance Meshery's capabilities by supporting automatic versioning of Meshery designs based on user sessions. This functionality will enable users to track changes made to their designs by individuals, facilitating the ability to rollback changes at any time. Expected Outcomes: - Update Meshery server and pattern engine to support Meshery design versioning. - Update UI to allow users to perform actions related to design versioning. - Document changes made in pattern engine and server.

<p><strong>Rule induction</strong> from examples is recognised as a fundamental component of many machine learning systems. We propose to implement supervised rule induction algorithms and rule-based classification methods, established on a more general framework of replaceable individual components that can be fine-tuned to specific needs. For this purpose, the separate-and-conquer (also covering) strategy will be purposed.</p> <p>The addition to the Orange software suite should benefit both novice and expert users looking to advance their knowledge in a particular area of study through a better understanding of given predictions and underlying argumentation.</p>

The current approach to request data from the Meshery Server about the relationship between Kubernetes Resources doesn’t scale well due to the need to evaluate through all of the resources every time a request is performed. The proposed solution to this, is to implement a Graph database to store the these resources' relationships to provide faster query responses. I'm going to implement the Graph Database by embedding Cayley (embeddable graph database written in go) into Meshery Server to both efficiently store and retrieve the relationships between the nodes (resources) and hub nodes (cluster, label, annotation, namespace) through the usage of edges (owner_reference, has_label, has_annotation, has_namespace, in_cluster).

<p>Colibri provides a platform for smart building energy management. Semantics about the building, the building automation systems, other energy-consuming or energy-producing devices, and the environment are used to elaborate optimization strategies. Basically, simulation for the behaviour of the building automation system is performed. Simulation is done by designing individual components and their interconnection is then simulated using MATLAB Simulink. A Java-based connector is implemented in this project so as to link the simulation to the Colibri platform. This component(connector) should be able to read values from and write values to the running MATLAB Simulink simulation. These data exchanges are then sent to Colibri semantic core.</p>