Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency.
Date: 28.02.2024
Speaker: Isabelle Dicaire (CCTT Optech)
Topic: From Ariadnas to Industry R&D in optics and photonics
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...iosrjce
IOSR Journal of Applied Physics (IOSR-JAP) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Researchers at the Desert Research Institute (DRI) are exploring ways in which unmanned aircraft systems are increasingly being used in civilian government work as well as the private sector for use in applications as diverse as cloud seeding to fighting forest fires.
Coupling Australia’s Researchers to the Global Innovation EconomyLarry Smarr
08.10.13
Sixth Lecture in the
Australian American Leadership Dialogue Scholar Tour
University of Technology Sydney
Title: Coupling Australia’s Researchers to the Global Innovation Economy
Sydney, Australia
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...iosrjce
IOSR Journal of Applied Physics (IOSR-JAP) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Researchers at the Desert Research Institute (DRI) are exploring ways in which unmanned aircraft systems are increasingly being used in civilian government work as well as the private sector for use in applications as diverse as cloud seeding to fighting forest fires.
Coupling Australia’s Researchers to the Global Innovation EconomyLarry Smarr
08.10.13
Sixth Lecture in the
Australian American Leadership Dialogue Scholar Tour
University of Technology Sydney
Title: Coupling Australia’s Researchers to the Global Innovation Economy
Sydney, Australia
Coupling Australia’s Researchers to the Global Innovation EconomyLarry Smarr
08.10.15
Eighth Lecture in the
Australian American Leadership Dialogue Scholar Tour
Australian National University
Title: Coupling Australia’s Researchers to the Global Innovation Economy
Canberra, Australia
Calit2: Experiments in Living in the Virtual/Physical WorldLarry Smarr
10.12.15
Invited Talk
"Cultivating Networked Centers of Excellence" CineGrid International Workshop 2010
Title: Calit2: Experiments in Living in the Virtual/Physical World
Growth and Optimization of Aluminium-doped Zinc Oxide using Spray Pyrolysis T...Kevin V. Alex
Highly conducting and transparent Al-doped ZnO thin films were grown on glass substrate using 0.3M of zinc acetate dihydrate and aluminum acetylacetonate solution via spray pyrolysis technique. Methanol was used as the main solvent and Nitrogen as the carrier gas. This work consists of two set of studies. The structural properties of the grown films were characterized using XRD. The crystallite size was also calculated from the XRD data. The optical studies of the prepared samples were studied using UV-Vis spectrometer and their respective optical band-gaps were determined. The film thickness was measured using the stylus profiler while the resistivity measurements were done in the source measuring unit. The surface morphology of the film was studied using the SEM images of the samples.
2024.03.22 - Mike Heddes - Introduction to Hyperdimensional Computing.pdfAdvanced-Concepts-Team
Presentation in Science Coffee of the Advanced Concepts Team of the European Space Agency.
Date: 22.03.2024
Speaker: Mike Heddes (University of California, Irvine)
Topic: Introduction to Hyperdimensional Computing
Abstract:
Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a computing framework capable of forming compositional distributed representations. HD/VSA forms a "concept space" by exploiting the geometry and algebra of high-dimensional spaces. The central idea is to represent information with randomly generated vectors, called hypervectors. Together with a set of operations on these hypervectors, HD/VSA can represent compositional structures, which, in turn, enables features such as reasoning by analogy and cognitive computing. In this introductory talk, I will introduce the high-dimensional spaces and the fundamental operations on hypervectors. I will then cover applications of HD/VSA such as reasoning by analogy and graph classification.
The ExoGRAVITY project - observations of exoplanets from the ground with opti...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 09.02.2024.
Speaker: Sylvestre Lacour (Paris Observatory/LESIA)
Title: The ExoGRAVITY project - observations of exoplanets from the ground with optical interferometry
Abstract: I will talk about the latest observations and results with the GRAVITY instrument installed at the VLTI, Paranal observatory.
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Ähnlich wie Isabelle Diacaire - From Ariadnas to Industry R&D in optics and photonics
Coupling Australia’s Researchers to the Global Innovation EconomyLarry Smarr
08.10.15
Eighth Lecture in the
Australian American Leadership Dialogue Scholar Tour
Australian National University
Title: Coupling Australia’s Researchers to the Global Innovation Economy
Canberra, Australia
Calit2: Experiments in Living in the Virtual/Physical WorldLarry Smarr
10.12.15
Invited Talk
"Cultivating Networked Centers of Excellence" CineGrid International Workshop 2010
Title: Calit2: Experiments in Living in the Virtual/Physical World
Growth and Optimization of Aluminium-doped Zinc Oxide using Spray Pyrolysis T...Kevin V. Alex
Highly conducting and transparent Al-doped ZnO thin films were grown on glass substrate using 0.3M of zinc acetate dihydrate and aluminum acetylacetonate solution via spray pyrolysis technique. Methanol was used as the main solvent and Nitrogen as the carrier gas. This work consists of two set of studies. The structural properties of the grown films were characterized using XRD. The crystallite size was also calculated from the XRD data. The optical studies of the prepared samples were studied using UV-Vis spectrometer and their respective optical band-gaps were determined. The film thickness was measured using the stylus profiler while the resistivity measurements were done in the source measuring unit. The surface morphology of the film was studied using the SEM images of the samples.
2024.03.22 - Mike Heddes - Introduction to Hyperdimensional Computing.pdfAdvanced-Concepts-Team
Presentation in Science Coffee of the Advanced Concepts Team of the European Space Agency.
Date: 22.03.2024
Speaker: Mike Heddes (University of California, Irvine)
Topic: Introduction to Hyperdimensional Computing
Abstract:
Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a computing framework capable of forming compositional distributed representations. HD/VSA forms a "concept space" by exploiting the geometry and algebra of high-dimensional spaces. The central idea is to represent information with randomly generated vectors, called hypervectors. Together with a set of operations on these hypervectors, HD/VSA can represent compositional structures, which, in turn, enables features such as reasoning by analogy and cognitive computing. In this introductory talk, I will introduce the high-dimensional spaces and the fundamental operations on hypervectors. I will then cover applications of HD/VSA such as reasoning by analogy and graph classification.
The ExoGRAVITY project - observations of exoplanets from the ground with opti...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 09.02.2024.
Speaker: Sylvestre Lacour (Paris Observatory/LESIA)
Title: The ExoGRAVITY project - observations of exoplanets from the ground with optical interferometry
Abstract: I will talk about the latest observations and results with the GRAVITY instrument installed at the VLTI, Paranal observatory.
Presentation in the Science Coffee hosted by the Advanced Concepts Team of the European Space Agency on the 12.01.2024.
Speaker: Benoit Famaey (CNRS - Observatoire astronomique de Strasbourg)
Title: Modified Newtonian Dynamics
Abstract: Presentation around the topic of MOND / tests of MOND
Presentation in Science Coffee of ESA’s Advanced Concepts Team on the 24.11.2023 by Pablo Gomet (ESA/ESAC)
Abstract:
Current and upcoming space science missions will produce petascale data in the coming years. This requires a rethinking of data distribution and processing practices. For example, the Euclid mission will be sending more than 100GB of compressed data to Earth every day. Analysis and processing of data on this scale requires specialized infrastructure and toolchains. Further, providing users with this data locally is not practical due to bandwidth and storage constraints. Thus, a paradigm shift of bringing users code to the data and providing a computational infrastructure and toolchain around the data is required. The ESA Datalabs platforms is specifically focused on fulfilling this need. It provides a centralized platform with access to data from various missions including the James Webb Space Telescope, Gaia, and others. Pre-setup environments with the necessary toolchains and standard software tools such as JupyterLab are provided and enable data access with minimal overhead. And, with the built-in Science Application Store, a streamlined environment is given that allows rapid deployment of desired processing or science exploitation pipelines. In this manner, ESA Datalabs provides an accessible and potent framework for high-performance computing and machine learning applications. While users may upload data, there is no need to download data, thus mitigating the bandwidth burden. As the computational load is handled within the computational infrastructure of ESA Datalabs, high scalability is achieved, and resources can be requisitioned as needed. Finally, the platform-centric approach facilitates direct collaboration on code and data. Currently, the platform is already available to several hundred users, regularly showcased in dedicated workshops and interested users may request access online.
Jonathan Sauder - Miniaturizing Mechanical Systems for CubeSats: Design Princ...Advanced-Concepts-Team
ESA/ACT Science Coffee presentation of Nov 3, 2023 by Jonathan Sauder (NASA/JPL/CalTech)
Abstract:
In the past decade CubeSats have evolved from small university educational opportunities to industry and governments using them make new discoveries and monetize space. While originally most missions were restricted to Low Earth Orbit (LEO), CubeSats have begun to increase their reach across the solar system with the advent of Mars Cube One (MarCO) in 2018. However, with the small, constrained CubeSat form factor there is often a need to expand the CubeSat through deployable mechanical systems once the satellite is in space. In reviewing many CubeSat missions, it has been found that over 90% have deployable structures actuated by a mechanical system. These include antennas, solar panels, and instrument booms.
There is a key challenge in CubeSat mechanism design, as one can not just shrink larger spacecraft mechanisms down to the CubeSat form factor. Rather, these mechanisms must be designed in a way to reduce complexity, which means good mechanical design principles are paramount. From experience designing the deployment mechanisms for the MarCO and RainCube missions, working on deployable antenna technology, and reviewing deployables used on hundreds of other CubeSats, several key principles have been identified for developing miniaturized mechanical systems for mechanisms. These principles will be discussed in the presentation, and examples will be provided. Small satellite missions can be made more robust by incorporating good design principles into future miniaturized mechanical systems, which in turn with result in greater reliability of small satellites. This is especially important given that many small satellites have mission critical deployables, and the ever-increasing number of interplanetary small satellite missions and opportunities.
Artificial intelligence (AI) is a potentially disruptive tool for physics and science in general. One crucial question is how this technology can contribute at a conceptual level to help acquire new scientific understanding or inspire new surprising ideas. I will talk about how AI can be used as an artificial muse in quantum physics, which suggests surprising and unconventional ideas and techniques that the human scientist can interpret, understand and generalize to its fullest potential.
EDEN ISS is a European project focused on advancing bio-regenerative life support systems, in particular plant cultivation in space. A mobile test facility was designed and built between March 2015 and October 2017. The facility incorporates a Service Section which houses several subsystems necessary for plant cultivation and the Future Exploration Greenhouse. The latter is built similar to a future space greenhouse and provides a fully controlled environment for plant cultivation. The facility was setup in Antarctica in close vicinity to the German Neumayer Station III in January 2018 and successfully operated between February and November of the same year. During that nine month period around 270 kg of food was produced by the crops cultivated in the greenhouse. Besides the mere production of food for the overwintering crew (10 people) of the Neumayer Station III a large number of experiments were conducted. These experiments delivered valuable data for engineering of space greenhouses, horticultural sciences, microbiology, food quality and safety, psychology and operation of a food production facility in a remote environment. Component and subsystem validation was conducted to better understand engineering issues when building a space greenhouse. Fresh edible and inedible biomass was measured upon every harvest, dry weight ratios were determined and crop life cycle data was collected. More than 400 plant and microbiological samples were taken for the microbiology, and food quality and safety scientists working on the project. Some samples were composed of freeze dried plant tissue, but most samples were frozen at -40°C and shipped to Europe for analysis in specialized laboratories. A survey with the overwintering crew was executed to get information about the impact of the greenhouse on the crew during the nine month long winter season. Operation procedures for horticultural tasks, but also for system maintenance were developed and tested. The required crewtime, energy and resources demands were measured. This presentation shows an overview of the research results of the EDEN ISS research campaign in Antarctica close to the Neumayer Station III.
The quest to create artificial general intelligence has largely followed a “brain in a vat” approach, aiming to build a disembodied mind that can carry out the kinds of logical reasoning and inference that humans are capable of, usually demonstrated through language. This approach may some day pay off, but it’s not how nature did it. Intelligence did not evolve to solve abstract problems – it evolved to adaptively control behaviour in the real world. Living organisms are agents that can act, for their own reasons, in pursuit of their own goals – most fundamentally, to persist as a self through time. By charting the evolution of agency, we can see the origins of action and the concomitant emergence of behavioural control systems; the transition from pragmatic perception-action couplings to more and more internalised semantic representations; and, on our lineage, a trajectory of increasing cognitive depth and ever more sophisticated mapping and modelling of the world and the self. The resultant accumulation of causal knowledge grants the ability to simulate more complex scenarios, to predict and plan over longer timeframes, to optimise over more competing goals at once, and ultimately to exercise conscious rational control over behaviour. In this way, intelligent entities – agents – evolved, with greater and greater autonomy, flexibility, and causal power in the world. To realise intelligence in artificial systems, it may similarly be necessary to develop embodied, situated agents, with meaning and understanding grounded in relation to real-world goals, actions, and consequences.
Brains rely on spiking neural networks for ultra-low-power information processing. Building artificial intelligence with similar efficiency requires learning algorithms to instantiate complex spiking neural networks and brain-inspired neuromorphic hardware to emulate them efficiently. Toward this end, I will briefly introduce surrogate gradients as a general framework for training spiking neural networks and showcase their robustness and self-calibration capabilities on analog neuromorphic hardware. Drawing further inspiration from biology, I will discuss the impact of homeostatic plasticity and network initialization in the excitatory-inhibitory balanced regime on deep spiking neural network training. Finally, I will show how approximations relate surrogate gradients to biologically plausible online learning rules with a minor impact on their effectiveness.
The promise of computer aided manufacturing is to make materializable structures that could not be fabricated using traditional methods. An example is 3D printed lattices, where variation in the lattice geometry and print media can define a vast spectrum of resulting material behaviour, ranging from fully flexible forms to completely stiff examples with high strength. While these “architected materials” offer huge promise for industrial applications, in practice they are difficult to generate and explore digitally, and even harder to simulate for mechanical testing. In this talk I will outline a range of approaches to the study of architected materials using machine learning. I will describe several projects using graph neural networks (GNNs) to model lattice geometry, and report on a few recent works that construct inverse models. These approaches are progress toward better methods for approximation of the material behaviour of the space of all lattice geometries, offering potential for real-time material feedback at the design stage, and a streamlined selection process for architected materials.
Electromagnetically Actuated Systems for Modular, Self-Assembling and Self-Re...Advanced-Concepts-Team
This talk will cover two research projects within the MIT Space Exploration Initiative’s microgravity self-assembly portfolio. While the sizes and geometries of today’s space structures are limited by launch mass and volume, modular reconfigurability may support tightly packing structure modules over multiple launches and provide for adaptation to unforeseen circumstances once deployed. Self-assembly methods also promise to reduce crew EVA construction time on-orbit, when leveraged for large-scale habitat structures. We will report on a quasi-stochastic self-assembly hardware platform, and accompanying robotics simulation, for hollow buckyball shells in orbit. This talk will also introduce a reconfigurable space structure based on electromagnetically pivoting cubes that originated in the ACT. Both projects will show recent hardware for fully untethered modules, results from physical experiments on parabolic flights and a 30-day ISS mission, and simulation approaches for planning and characterizing self-assembly and reconfigurability.
HORUS (Hyper-effective nOise Removal U-net Software) is a cutting-edge AI tool designed to enhance Lunar Reconnaissance Orbiter (LRO) optical low-light imagery of the Moon's shadowed regions by removing most of the CCD-related and photon noise. For the first time, HORUS enables scientists and engineers to identify intra-shadow geologic features (craters, boulders, etc.) as small as 3 meters across, making this tool uniquely useful for applications such as geologic mapping, landing site selection, hazard recognition, and mission planning, directly supporting the robotic and crewed exploration of the Moon's south pole.
META-SPACE: Psycho-physiologically Adaptive and Personalized Virtual Reality ...Advanced-Concepts-Team
During this pandemic we have experienced the devastating effects of isolation. Although astronauts undergo exhaustive training, psychological strain has been observed during space missions resulting in stress, home-sickness, anxiety, etc. Being confined with the same people poses challenges that could result in interpersonal antagonisms or sleeping problems. This effect could be also emphasized during long-term missions or Earth-out-of-view phenomenon.
The aim of our system is to alleviate some of those issues. A standalone VR headset with physiological sensors will be used to collect and integrate different inputs such as psycho-physiological signals, oculomotor patterns, voice, and behavioral actions. Afterwards, an adaptive model will process and analyze the signals to detect specific psychological states (e.g., stress, fatigue). Finally, the system will stream personalized content (user’s favorite Earth locations or revisiting family/friends memories) or provide individual games for entertainment and training. The system will also allow the integration of other crew members in the same VR.
The expected result is to provide astronauts with a tool to escape the feeling of isolation, to promote positive wellbeing timely delivered, and to boost crew cohesion and teamwork.
The Large Interferometer For Exoplanets (LIFE) II: Key Methods and TechnologiesAdvanced-Concepts-Team
The LIFE initiative has the goal to develop the science, the technology and a roadmap for an aspiring space mission that will allow humankind to detect and characterize, via nulling interferometry, the atmospheres of hundreds of nearby extrasolar planets including dozens that may be similar to Earth. This follow-up talk will tackle more of the techniques and technologies that will enable such an ambitious undertaking. I will outline the underlying measuring principle, and provide some overview over essential technologies, their current status and necessary developments.
Black holes have evolved from theoretical prediction to accepted hypothesis, due to the wealth of new discoveries in the last decades. In this talk I will discuss the observational evidence for the existence of black holes of different sizes and what we know about their evolution based on observations and theory. I will also describe what Quasars and Active Galactic Nuclei are, and how these extremely luminous objects can be used to study black holes at the early ages of the Universe.
In vitro simulation of spaceflight environment to elucidate combined effect o...Advanced-Concepts-Team
Long-term exposure to microgravity, ionizing radiation and increased levels of psychological stress can cause changes in the astronauts’ skin, resulting in skin rashes, itches and delayed wound healing during space missions. There is still a lack of understanding how the complex spaceflight environment induces these defects. This PhD project aims to investigate how exposure to a combination of spaceflight stressors can affect the structure and function of the skin, and how they can hamper wound healing. For this we have developed in vitro simulation models and are exposing primary human dermal fibroblasts to hydrocortisone, ionizing radiation and simulated microgravity. Results indicate a significant negative effect of hydrocortisone as well as simulated microgravity on wound healing capability of dermal fibroblasts. Furthermore, a project has been initiated with the support of the European Space Agency Academy “Spin Your Thesis!” Campaign, aiming to investigate the effects of an increased gravitational force on fibroblast function related to wound healing. Altogether the results of this PhD project will give more insights into the effects of combined spaceflight stressors on dermal skin cells, and improve risk assessment for human deep space exploration.
The Large Interferometer For Exoplanets (LIFE): the science of characterising...Advanced-Concepts-Team
Studying the atmospheres of a statistically significant number of rocky, terrestrial exoplanets - including the search for habitable and potentially inhabited planets - is one of the major goals of exoplanetary science and possibly the most challenging question in 21st century astrophysics. However, despite being at the top of the agenda of all major space agencies and ground-based observatories, none of the currently planned projects or missions worldwide has the technical capabilities to achieve this goal. In this talk we present new results from the LIFE Mission initiative, which addresses this issue by investigating the scientific potential of a mid infrared nulling interferometer observatory. Here we will focus on the mission's yield estimates, our simulator software as well as various exemplary science cases such as observing Earth- and Venus-twins or searching for phosphine in exoplanetary atmospheres.
Ephemeral wetlands – vernal pools, are temporal isolated bodies of freshwater that host amphibious (aquatic & terrestrial) lifeforms. Herein rare plant species and living animal fossils have adapted to the extreme conditions of water saturation and rapid desiccation events. In many ways, vernal pools hold extreme properties analogous to conditions that could be found across the solar system; they are natural laboratories to understand life adaptations to extreme conditions, colonization events and ecological life patterns. Vernal pools are very appropriate to study life macroecology, the diversity and distribution patterns of the taxa across the globe including microbes. Microbial organisms in vernal pools had never been studied before. Using high-throughput sequencing technology we addressed the diversity of bacteria and archaea in soils, water and plant tissues, exploring community assembly mechanisms and diversity patterns. In addition, the microbes living inside plants —endophytes, which are known to alleviate plants under environmental stress, were unraveled for the first time from the vernal pool-amphibious plant species Eryngium castrense. Discrete diversity patterns were found across latitudinal and anthropogenic transects, but this last one pattern is still part of further investigation and analysis. Vernal pools represent a new frontier to understand the dynamics of life, holding important lessons about adaptation processes, including mutualisms. They can be seen as naturally enclosed ecosystems on planetary bodies or even spacecraft in our quest for extraterrestrial habitats.Protecting and understanding these understudied and threatened ecosystems may hold the key of future human survival.
Sentinel-1 satellites, ESA’s Synthetic Aperture Radar (SAR) mission, provide continuous data from the Earth surface in weekly to biweekly time intervals. This data availability provides an unprecedented opportunity to continuously monitor the Earth surface motion in areas prone to geohazards; such as regions of high seismic and volcanic activities, with the end goal of supporting the Early Warning Systems. However, the great challenge is to derive insights from Terabytes of satellite image sequences, in a computationally-efficient and time-critical manner. We’ve risen to this challenge by designing innovative signal processing and deep learning algorithms to efficiently mine this invaluable wealth of data. This talk gives on overview of our designed solutions, as well as a demonstration of these solutions in the Tectonic and Volcanic monitoring of South America (TecVolSA) project.
Artificial intelligence (AI) is experiencing steadily growing interest over the recent years. For good reason, since these innovative algorithms and methods, such as machine learning and deep neural networks, in which knowledge is acquired and applied based on data, enable the automation of a wide range of processes and quickly deliver precise results. AI is also getting more and more popular in the space sector. The Institute of Space Technology & Space Applications (ISTA) at the Universität der Bundeswehr in Munich is conducting research around AI for space operations, science, and technology. An overview of activities and current developments towards fault management, autonomous collision avoidance, autonomous landing, as well as radio science at ISTA will be presented.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
2. Confidential
Isabelle Dicaire - Research Fellow in Earth System Science, ACT 2012-2015
Ariadna 1: Spaceborne laser filamentation for atmospheric remote sensing
Ariadna 2: Detection and analysis of climate tipping points using genetic algorithms
Ariadna 3: The Silky Way: Biomimetic sensing through changes in structural proteins
BACKGROUND
* In collaboration with ACT colleagues:
Francisco Fernandez-Navarro & Nasia
Nikolaou
* Outcome: 5 papers published
* In collaboration with ACT colleague:
Tom Gheysens
* Outcome: 6 papers published
* Outcome: 2 papers published
3. Confidential
BIOMIMETIC SENSING THROUGH CHANGES IN STRUCTURAL PROTEINS
Project aim for the Ariadna study: proof-of-concept study of biosensing using spider silk
1st step: Spider “milking” to extract the dragline silk – done by Tom at the Oxford Silk Group
2nd step: Injecting light from an optical fiber into the spider silk – done by the Group for Fiber Optics at EPFL
4. Confidential
DESCRIPTION OF ARIADNA STUDY THE SILKY WAY:
3rd step: Measure the optical properties of the silk – done by the Group for Fiber Optics at EPFL
4th step: Proof-of-concept of breath analysis through polarimetry using spider silk
5. Confidential
DATA ANALYSIS METHOD OF CHOICE – OPTECH.ORG
Physics-based
Chemometrics &
Machine Learning
Optical
data
Physics-
Based
Model Chemistry
data
6. Non-profit organization in operation since 2002 |
Located in Montréal, Canada
Specialized in optics & photonics 2 < TRL < 8
• Industrial product & process developement
• Applied Research
• Measurement services
8. Confidential
Optech: bridging the gap between academia and industry R&D
TRL:
1 2 3 4 5 6 7 8 9
Pull
Industry
R&D
Push
Academic
R&D
Terrile, Richard J., et al. "Calibrating the technology readiness level (TRL) scale using NASA
mission data." 2015 ieee aerospace conference. IEEE, 2015.
$37 $31
$373 $363
$1249 $1262
y = 14,13e0,8211x
2 3 4 5 6 7
Investments
(k$
CAD)
Technology Readiness Level (TRL)
DEVELOPMENT COSTS
OPTECH PROJECT K.
Series1 Expon. (Series1)
9. Confidential
Optech: bridging the gap between academia and industry R&D
31 employees: physicists, engineers, technicians + admin staff
140+ projects done with more than 60 private companies in 2022
Network of 2400 employees that supports 6000+ companies per year
+10M$ in equipment with 600 m2 of laboratories
Only 8% of our revenues = recurrent public funding
11. Confidential
FIBER OPTICS AND SENSORS
11
Development of a palladium
nanoparticles ink for hydrogen
sensing applications
3D printed palladium
layer on an optical fiber
12. Confidential
FIBER OPTICS AND SENSORS
12
Proof-of-concept of quantum
optics sensing using 3D-printed
upconversion nanoparticles
13. Confidential
MICROSYSTEMS
13
Technologies Piezoelectric HAPT FBG (Proba 2) DBR Fiber laser
Pressure resolution (mBar) 13 2 0.03
Pressure resolution (%FS 0-25 Bar) 0.05% 0.01% 0.00015%
Temperature (K) 0.5K/300K 0.05 0.004-0.1
Precision on the propellant measurement
(months)
7(42) for a 10(15)-year
mission
N/D 1(5) - 3(16) for a 10(15-
year mission
OSIP project: Improving satellite
propellant gauging accuracy with high
accuracy Optical Pressure Sensors and
Ultrafast Optoelectronics
ESA Contract No.
4000138372/22/NL/GLC/ov
14. Confidential
MICROSYSTEMS
14
OSIP project: Improving satellite propellant gauging
accuracy with high accuracy Optical Pressure Sensors and
Ultrafast Optoelectronics
ESA Contract No. 4000138372/22/NL/GLC/ov
Base package
(Aluminum, Kovar)
Lid
Membrane
(Sapphire/Silicon)
DBR fiber laser
Fitting for pressure controller
seal cover
5 assembled units
19. Confidential
ARTIFICIAL INTELLIGENCE AND OPTICS
Confidentiel
Provide precise quantitative information for embedded
metrology applications from prototype design to
manufacturing and tests:
❖ K-means clustering analysis
❖ PLS-DA classification
❖ Dimension reduction with PCA
❖ Machine learning – Training of classification and
regression models (decision tree, k nearest neighbors,
logistic regression, SVM, gradient boosting, AdaBoost,
Random Forest, CatBoost, MLP, XGB, etc)
❖ Deep learning for imaging applications
DevOps prototypes: deployment of models in production,
application monitoring and continuous improvements