Publications associées à Grain (céréale)

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Pengbo Yu, Flavio Ponzina

Machine learning algorithms such as Convolutional Neural Networks (CNNs) are characterized by high robustness towards quantization, supporting small-bitwidth fixed-point arithmetic at inference time with little to no degradation in accuracy. In turn, small ...

IEEE2024

Sensor Systems for Smart Agriculture

Diego Ruben Barrettino

This paper presents two sensor systems used in smart agriculture. The first sensor system is capable of remote monitoring at real time the condition of grains stored in silo bags. The second sensor system comprises soil's nitrogen (N), potassium (K), phosp ...

IEEE2022

Influence of depositional fabric on mechanical properties of naturally deposited sands

Gioacchino Viggiani, Edward Carlo Giorgio Andò

Fabric characteristics and shear deformation behaviour were analysed in four intact small-scale samples, including two disturbed and two undisturbed samples of naturally deposited sand from a shoal in the San Francisco Bay. Triaxial compression tests were ...

ICE PUBLISHING2022

Processability, microstructure and precipitation of a Zr-modified 2618 aluminium alloy fabricated by laser powder bed fusion

Christian Leinenbach, Xavier Maeder

Additive manufacturing offers the opportunity to produce complex geometries from novel alloys with improved properties. Adapting conventional alloys to the process-specific properties can facilitate rapid implementation of these materials in industrial pra ...

2022

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

Paolo Ienne, Kubilay Atasu, Jovan Blanusa

Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along ...

arXiv2022

Atom: A Stream Cipher with Double Key Filter

Subhadeep Banik, Willi Meier, Andrea Felice Caforio

It has been common knowledge that for a stream cipher to be secure against generic TMD tradeoff attacks, the size of its internal state in bits needs to be at least twice the size of the length of its secret key. In FSE 2015, Armknecht and Mikhalev however ...

2021

Enclosure: Language-Based Restriction of Untrusted Libraries

James Richard Larus, Mathias Josef Payer, Edouard Bugnion, Evangelos Marios Kogias, Adrien Ghosn

Programming languages and systems have failed to address the security implications of the increasingly frequent use of public libraries to construct modern software. Most languages provide tools and online repositories to publish, import, and use libraries ...

ACM2021

Variability in arsenic methylation efficiency across aerobic and anaerobic microorganisms

Rizlan Bernier-Latmani, Karin Lederballe Meibom, Karen Elda Viacava Romo, Arnaud Michel Gelb, Leia Soraya Véronique Falquet, Shannon Eliot Dyer, Adrien Mestrot

Microbially-mediated methylation of arsenic (As) plays an important role in the As biogeochemical cycle, particularly in rice paddy soils where methylated As, generated microbially, is translocated into rice grains. The presence of the arsenite (As(III)) m ...

2020

Triplet grain growth in a-texture polycrystalline ZnO thin films

Cécile Hébert, Duncan Thomas Lindsay Alexander, Arthur Brian Aebersold

A growth of grain triplets is identified in vapor deposited, a-texture polycrystalline zinc oxide thin films, using a combination of transmission electron microscopy-based automated crystal orientation mapping and high-resolution imaging. Each triplet cons ...

2020

Methylation of arsenic by single-species and soil-derived microbial cultures

Karen Elda Viacava Romo

Arsenic (As) is simultaneously a ubiquitous and a toxic element. Arsenic is subject to bio-transformations catalyzed by microorganisms constituting the As biogeochemical cycle. The primordial Earth was devoid of oxygen, exposing life to the highly mobile a ...

EPFL2020