236 research outputs found

    3D Printing the Complete CubeSat

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    The 3D Printing the Complete CubeSat project is designed to advance the state-of-the-art in 3D printing for CubeSat applications. Printing in 3D has the potential to increase reliability, reduce design iteration time and provide greater design flexibility in the areas of radiation mitigation, communications, propulsion, and wiring, among others. This project is investigating the possibility of including propulsion systems into the design of printed CubeSat components. One such concept, an embedded micro pulsed plasma thruster (mPPT), could provide auxiliary reaction control propulsion for a spacecraft as a means to desaturate momentum wheels

    Book Review - Gospel of the Working Class

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    Review of Gellman and Roll; Gospel of the Working Class

    The Impact of People of the Dream Applied to Kingdom Authority Christian Center Lay Workers Church Plant: A Mixed Methods Approach

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    Kingdom Authority Christian Center (KACC) is growing more attentive to the changing demographics in the world. It seeks to understand that as other countries and nations continue to diversify by race and ethnicity, change is needed. The problem is that KACC has no training curriculum designed to impact and employ change. A mixed-method approach will be applied to fix KACC’s problem and the proposal of correspondence from People of the Dream. This thesis project will provide research from individual interviews, a population group, and an inside viewpoint from one of the people in the dream. This project will also add to the already training analysis provided by the many scholarly articles, peer reviews, and dissertations

    Thermally activated reversal in exchange-coupled structures

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    In this paper, we study the thermally activated reversal of IrMn/CoFe exchange-coupled structures using Lorentz microscopy and magnetometry. An asymmetry and a training effect were found on the hysteresis loops both with and without holding the film at negative saturation of the ferromagnetic layer. Holding the film at negative saturation results in the hysteresis loop shifting toward zero field. We believe that, in this system, two energy barrier distributions with different time constants coexist. The large-time-constant thermally activated reversal of the antiferromagnetic layer contributes to a increasing shift of the entire hysteresis loop toward zero field with increased period of time spent at negative saturation of the ferromagnetic layer. The small-time-constant thermal activation contributes to asymmetry in the magnetization reversal and training effects

    Challenges and Opportunities for CubeSat Detection for Space Situational Awareness using a CNN

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    The deployment of artificial neural networks (ANNs) on small satellites will improve space situational awareness (SSA) where scarce radio resources limits the interactions between space-born and ground-based systems. The application of ANNs in space is stymied by lack of curated datasets. This project addresses an ongoing problem of small spacecraft detection and identification. This paper will present the problem and the activities the team has taken to advance this field

    Satellite Identification Imaging for Small Satellites Using NVIDIA

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    The Nvidia Tegra X1 (TX1) is a credit-card size system-on-a-chip (SoC) that contains an entire suite of input, output, and processing hardware. It is designed to take advantage of Nvidia’s graphics processing unit (GPU) architecture and CUDA (formerly Compute Unified Device Architecture) parallel computing platform in order to provide a deep learning capability within a small form factor. The novelty of such a small size makes the TX1 capable of being deployed onboard a satellite, or as the primary instrument of a CubeSat. Accompanying software exists to optimize the TX1 for image processing tasks such as image recognition, object detection and location, and image segmentation. Such on-board processing power would make an equipped satellite able to execute complex decisions based on the images it receives during flight. This paper describes the effort to achieve these image processing tasks on the ground based on original datasets, with the motivation that models could be trained to be deployed onboard spacecraft containing cameras and GPU hardware. Though the distances of space make high-resolution images difficult to obtain from orbital assets, compact devices such as the Nvidia TX1 (and the newer TX2) demonstrate the potential for a spacecraft to achieve increased situational awareness based on streams of collected images
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