Eskil Steenberg

Eskil Steenberg


Stellar is a software platform for controlling elaborate LED lighting setups.

Modern Code, Virtual Reality, Networking, Internet of Things

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Stellar is a protable highly multithreded application that can controll hundreds of thousands of lights at 100+Hz.

Stellar lets you design and map complex lighting setups in full 3D, so that lighting effects can be controlled with high precission.

Stellar then gives the user a familliar 3D application interface to design and animate light effects, using a powerfull plugin system where the user can combine layers of filters to create a wide range of effects.

Finally Stellar lets users play bak these effects in like a DJ, where they can controll selected prameters and tie them to music and hardware devices such as Midi, and game controllers.

Stellar works on multiple platforms and supports VR.

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Anthony C. created project gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

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gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

Network Functions Virtualization ( NFV ) and Service Function Chaining ( SFC ) have moved from idea to POC to implementation stage . The challenge still remains to get bare metal performance from virtual machines . Resource Director Technology (RDT) from Intel is designed to bring in QoS to the virtual machine resources. gRPC from Google is a framework which could be used to design priority based services . This project integrates these technologies and creates a framework for more reliable and efficient services via gRPC enhanced with RDT.

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Ravi K. updated status

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Ravi K

Hi, I am very eager to learn AI technologies, I am master student at Governors State University,Chicago.

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Makiko K. created project Smarter Wireless Power Transfer Technology

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Smarter Wireless Power Transfer Technology

Wireless Power Transfer Technology enables people charging devices without a physical connection to the battery source. There are two main methods: Magnetic Inductance and Magnetic Resonance.

Magnetic Inductance charges devices within proximity. Magnetic Resonance, in turn, can charge further.

This project is an early proposal to evaluate how the different possible variables can impact the efficiency of the system, i.e., how fast can the device be charged subject to the distance, for example, material, object collision, room temperature, etc impact on the efficiency of the device.

Subject to these variables, the AI component of this project seeks to create a "smart wireless power charger", which reading through sensors the various conditions of the environment suggest the optimal distance for energy charging and placement without compromising the comfort of the user.

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Aashiq J. updated status

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