9,624 research outputs found
A New Macroeconomic Time Series: Business Profitability in Twentieth-Century Australia
No full textMacroeconomic time series, business profitability, Australia
Charlie May Simon materials
No full textThis collection contains materials relating to Arkansas author Charlie May Simon
Simon Nyakot
No full textabstract: Simon Nyakot left his village when he was six years old.
“Lost Boys Found” is an ongoing, interdisciplinary project that is collecting, recording and archiving the oral histories of the Lost Boys/Girls of Sudan. The collection is a work-in-progress, seeking to record the oral history of as many Lost Boys/Girls as are willing, and will be used in a future book.Age: 27Region: LakeThis picture and bio was donated to the Lost Boys Found project from The Arizona Lost Boys Cente
TinyOps: ImageNet Scale Deep Learning on Microcontrollers
No full textDeep Learning on microcontroller (MCU) based IoT devices is extremely challenging due to memory constraints. Prior approaches focus on using internal memory or external memories exclusively which limit either accuracy or latency. We find that a hybrid method using internal and external MCU memories outperforms both approaches in accuracy and latency. We develop TinyOps, an inference engine which accelerates inference latency of models in slow external memory, using a partitioning and overlaying scheme via the available Direct Memory Access (DMA) peripheral to combine the advantages of external memory(size) and internal memory (speed). Experimental results show that architectures deployed with TinyOps significantly outperform models designed for internal memory with up to 6% higher accuracy and importantly, 1.3-2.2x faster inference latency to set the state-of-the-art in TinyML ImageNet classification. Our work shows that the TinyOps space is more efficient compared to the internal or external memory design spaces and should be explored further for TinyML applications
Cahiers Saint-Simon
No full texthttps://www.persee.fr/renderCollectionCover/simon.pngThe Société Saint-Simon was founded in 1972 in order to promote studies about the Duke of Saint-Simon (1675-1755), namely about the work, life, and thinking of the Mémoires’s author. Each year it issues a Cahier Saint-Simon. It contains the Acts of the annual Journée d’étude in Versailles, but also Notes and Documents, News of the Society and Book reviews.Fondée en 1972, la Société Saint-Simon a pour but de développer les études concernant l'oeuvre, la personne et la pensée du duc de Saint-Simon (1675-1755), l’auteur des Mémoires. Chaque année, paraît un numéro de Cahiers Saint-Simon contenant les actes de la journée annuelle de Versailles, ainsi que des Mélanges, des Notes et Documents et une Chronique bibliographique détaillée
Enabling ImageNet-scale deep learning on MCUs for accurate and efficient inference
No full textConventional approaches to TinyML achieve high accuracy by deploying the largest deep learning model with highest input resolutions that fit within the size constraints imposed by the microcontroller's (MCUs) fast internal storage and memory. In this paper, we perform an in-depth analysis of prior works to show that models derived within these constraints suffer from low accuracy and, surprisingly, high latency. We propose an alternative approach that enables the deployment of efficient models with low inference latency, but free from the constraints of internal memory. We take a holistic view of typical MCU architectures, and utilise plentiful but slower external memories to relax internal storage and memory constraints. To avoid the lower speed of external memory impacting inference latency, we build on the TinyOps inference framework, which performs operation partitioning and uses overlays via DMA, to accelerate the latency. Using insights from our study, we deploy efficient models from the TinyOps design space onto a range of embedded MCUs achieving record performance on TinyML ImageNet classification with up to 6.7% higher accuracy and 1.4x faster latency compared to state-of-the-art internal memory approaches
Cahiers Saint-Simon
No full texthttps://www.persee.fr/renderCollectionCover/simon.pngThe Société Saint-Simon was founded in 1972 in order to promote studies about the Duke of Saint-Simon (1675-1755), namely about the work, life, and thinking of the Mémoires’s author. Each year it issues a Cahier Saint-Simon. It contains the Acts of the annual Journée d’étude in Versailles, but also Notes and Documents, News of the Society and Book reviews.Fondée en 1972, la Société Saint-Simon a pour but de développer les études concernant l'oeuvre, la personne et la pensée du duc de Saint-Simon (1675-1755), l’auteur des Mémoires. Chaque année, paraît un numéro de Cahiers Saint-Simon contenant les actes de la journée annuelle de Versailles, ainsi que des Mélanges, des Notes et Documents et une Chronique bibliographique détaillée
Energy managed reporting for wireless sensor networks
No full textIn this paper, we propose a technique to extend the network lifetime of a wireless sensor network, whereby each sensor node decides its individual network involvement based on its own energy resources and the information contained in each packet. The information content is ascertained through a system of rules describing prospective events in the sensed environment, and how important such events are. While the packets deemed most important are propagated by all sensor nodes, low importance packets are handled by only the nodes with high energy reserves. Results obtained from simulations depicting a wireless sensor network used to monitor pump temperature in an industrial environment have shown that a considerable increase in the network lifetime and network connectivity can be obtained. The results also show that when coupled with a form of energy harvesting, our technique can enable perpetual network operatio
Simon Weir - The Sydney Surrealist
No full textExhibition catalogue of "Simon Weir - The Sydney Surrealist", Exhibition at Disorder Gallery, Darlinghurst NSW, Australia, in April 2024. The catalogue contains images of exhibited works and statements by the artist Simon Weir, the gallery Director Elliott Cole, and author and journalist Margie Smithurst
- …
