An automated and user-friendly optical tweezers for biomolecular investigat...Dr. Pranav Rathi
An automated and user-friendly optical tweezers for biomolecular investigations; a versatile, automated, fast, precise and user friendly optical tweezers capable of doing verity of biomolecular experiments.
Simulation of icing events over Gaspé regionWinterwind
Presentation by Jing Yang, Climate Research Division, Environment Canada on Winterwind 2012, session 3b. "Simulation of icing events over Gaspé region"
http://www-ik.fzk.de/~huege/heraeus490/Lectures.html
The CODALEMA experiment hosted on the radio observatory site at Nançay (France) has been studying radio signal from UHECR showers in the frequency range from 23 to 83 MHz triggered by a ground-based particle detector array since 2002. In this poster, after a brief presentation of experimental method used in radiodetection, the main results obtained will be reported (emission mechanims, lateral ditribution of the electric field, energy calibration, etc...). The first studies of the characteristics of the radio wave front and of the calculation method (using non-linear chi2 methods) of the curvature will be then discussed as new preliminarily results.
An automated and user-friendly optical tweezers for biomolecular investigat...Dr. Pranav Rathi
An automated and user-friendly optical tweezers for biomolecular investigations; a versatile, automated, fast, precise and user friendly optical tweezers capable of doing verity of biomolecular experiments.
Simulation of icing events over Gaspé regionWinterwind
Presentation by Jing Yang, Climate Research Division, Environment Canada on Winterwind 2012, session 3b. "Simulation of icing events over Gaspé region"
http://www-ik.fzk.de/~huege/heraeus490/Lectures.html
The CODALEMA experiment hosted on the radio observatory site at Nançay (France) has been studying radio signal from UHECR showers in the frequency range from 23 to 83 MHz triggered by a ground-based particle detector array since 2002. In this poster, after a brief presentation of experimental method used in radiodetection, the main results obtained will be reported (emission mechanims, lateral ditribution of the electric field, energy calibration, etc...). The first studies of the characteristics of the radio wave front and of the calculation method (using non-linear chi2 methods) of the curvature will be then discussed as new preliminarily results.
Using potential field data and stochastic optimisation to refine 3D geologica...Richard Lane
“Using potential field data and stochastic optimisation to refine 3D geological models” by Richard Lane (Geoscience Australia, richard.lane@ga.gov.au), Phil McInerney (Intrepid Geophysics, phil@intrepid-geophysics.com), Ray Seikel (Intrepid Geophysics, ray@intrepid-geophysics.com), and Antonio Guillen (BRGM and Intrepid Geophysics, a.guillen@brgm.fr). Paper presented at the Geophysics Session, PDAC, Tuesday, March 4 2008, Toronto, Canada. Abstract : As a geoscience agency, Geoscience Australia has sought a platform that allows us to integrate complimentary but diverse sources of information into consistent products. Several groups have made progress by blending 3D geological mapping and potential field modelling. We describe the approach implemented in GeoModeller software and illustrate typical workflows using a synthetic example and a case study involving the San Nicolas volcanogenic massive sulphide deposit. Starting with an initial 3D geological map, typically based on sparse surface observations, we utilise potential field data to investigate the viability of the proposed configuration of geological units at depth. Forward modelling of the property distribution derived from the 3D geological map and supplied rock property estimates allows us to simulate any of the gravity and magnetic fields or their associated vector or gradient tensor components. A visual comparison of the calculated and observed potential field data provides immediate feedback on the consistency between the 3D geological map and the observed potential field data. We may also use a bounded property optimisation procedure to derive an alternate combination of properties for the geological units (i.e., the combination that would best reproduce the supplied potential field observations). A review of the results obtained with these two simple procedures is used to identify any significant changes that are required for the 3D geological map or our estimates of the properties. Several iterations of geological mapping, forward modelling and property optimisation are generally required to derive a “reasonable” candidate 3D geological map for further consideration. At this point, a powerful geometry optimisation procedure can be used to fully invert the potential field data. The ambiguity that is inherent in this process is reduced by simultaneously inverting any number of gravity and magnetic data types and by doing so with strong geological constraints. The procedure utilises random elements and statistical decision rules to produce a large number of viable models, in contrast to the more common deterministic approach that results in a single “best” model. Statistical techniques are then used to analyse the acceptable models and identify important features of the 3D geological maps that are consistent with both geological and geophysical observations.
Dielectronic recombination and stability of warm gas in AGNAstroAtom
Paper presented by Susmita Chakravorty at the 17th International Conference on Atomic Processes in Plasmas, Queen's University Belfast, 19-22 July 2011.
Static and dynamic light scattering have evolved into powerful methods to
investigate a variety of soft and biological matter systems with structures
on the nanometer to micrometer scale. They can provide detailed
quantitative information on the shape, internal structure, size, and
polydispersity of the system as well as interparticle interactions.
I will present their fundamentals from a physics and instrumental point of
view and also comment on experimental data analysis. The opportunities
they offer will be discussed as well as their limits. This will be illustrated
by a selection of examples, ranging from colloidal suspensions, detergent
and polymer solutions to proteins and include topics like contrast and
absolute intensity, determination of molar mass, polydispersity and
interparticle interactions.
There is nowadays a growing need for sensing devices offering rapid and portable analytical functionality in real-time as well as massively parallel capabilities with very high sensitivity at the molecular level. Such devices are essential to facilitate research and foster advances in fields such as drug discovery, proteomics, medical diagnostics, systems biology or environmental monitoring.
In this context, an ideal solution is an ion-sensitive field-effect transistor sensor platform based on silicon nanowires to be integrated in a CMOS architecture. Indeed, in addition to the expected high sensitivity and superior signal quality, such nanowire sensors could be mass manufactured at reasonable costs, and readily integrated into electronic diagnostic devices to facilitate bed-site diagnostics and personalized medicine. Moreover, their small size makes them ideal candidates for future implanted sensing devices. While promising biosensing experiments based on silicon nanowire field-effect transistors have been reported, real-life applications still require improved control, together with a detailed understanding of the basic sensing mechanisms. For instance, it is crucial to optimize the geometry of the wire, a still rather unexplored aspect up to now, as well as its surface functionalization or its selectivity to the targeted analytes.
This project seeks to develop a modular, scalable and integrateable sensor platform for the electronic detection of analytes in solution. The idea is to integrate silicon nanowire field-effect transistors as a sensor array and combine them with state-of-the-art microfabricated interface electronics as well as with microfluidic channels for liquid handling. Such sensors have the potential to be mass manufactured at reasonable costs, allowing their integration as the active sensor part in electronic point-of-care diagnostic devices to facilitate, for instance, bed-side diagnostics and personalized medicine. Another important field is systems biology, where many substances need to be quantitatively detected in parallel at very low concentrations: in these situations, the platform being developed fulfills the requirements ideally and will have a strong impact and provide new insights, e.g. into the metabolic processes of cells, organisms or organs.
Using potential field data and stochastic optimisation to refine 3D geologica...Richard Lane
“Using potential field data and stochastic optimisation to refine 3D geological models” by Richard Lane (Geoscience Australia, richard.lane@ga.gov.au), Phil McInerney (Intrepid Geophysics, phil@intrepid-geophysics.com), Ray Seikel (Intrepid Geophysics, ray@intrepid-geophysics.com), and Antonio Guillen (BRGM and Intrepid Geophysics, a.guillen@brgm.fr). Paper presented at the Geophysics Session, PDAC, Tuesday, March 4 2008, Toronto, Canada. Abstract : As a geoscience agency, Geoscience Australia has sought a platform that allows us to integrate complimentary but diverse sources of information into consistent products. Several groups have made progress by blending 3D geological mapping and potential field modelling. We describe the approach implemented in GeoModeller software and illustrate typical workflows using a synthetic example and a case study involving the San Nicolas volcanogenic massive sulphide deposit. Starting with an initial 3D geological map, typically based on sparse surface observations, we utilise potential field data to investigate the viability of the proposed configuration of geological units at depth. Forward modelling of the property distribution derived from the 3D geological map and supplied rock property estimates allows us to simulate any of the gravity and magnetic fields or their associated vector or gradient tensor components. A visual comparison of the calculated and observed potential field data provides immediate feedback on the consistency between the 3D geological map and the observed potential field data. We may also use a bounded property optimisation procedure to derive an alternate combination of properties for the geological units (i.e., the combination that would best reproduce the supplied potential field observations). A review of the results obtained with these two simple procedures is used to identify any significant changes that are required for the 3D geological map or our estimates of the properties. Several iterations of geological mapping, forward modelling and property optimisation are generally required to derive a “reasonable” candidate 3D geological map for further consideration. At this point, a powerful geometry optimisation procedure can be used to fully invert the potential field data. The ambiguity that is inherent in this process is reduced by simultaneously inverting any number of gravity and magnetic data types and by doing so with strong geological constraints. The procedure utilises random elements and statistical decision rules to produce a large number of viable models, in contrast to the more common deterministic approach that results in a single “best” model. Statistical techniques are then used to analyse the acceptable models and identify important features of the 3D geological maps that are consistent with both geological and geophysical observations.
Dielectronic recombination and stability of warm gas in AGNAstroAtom
Paper presented by Susmita Chakravorty at the 17th International Conference on Atomic Processes in Plasmas, Queen's University Belfast, 19-22 July 2011.
Static and dynamic light scattering have evolved into powerful methods to
investigate a variety of soft and biological matter systems with structures
on the nanometer to micrometer scale. They can provide detailed
quantitative information on the shape, internal structure, size, and
polydispersity of the system as well as interparticle interactions.
I will present their fundamentals from a physics and instrumental point of
view and also comment on experimental data analysis. The opportunities
they offer will be discussed as well as their limits. This will be illustrated
by a selection of examples, ranging from colloidal suspensions, detergent
and polymer solutions to proteins and include topics like contrast and
absolute intensity, determination of molar mass, polydispersity and
interparticle interactions.
There is nowadays a growing need for sensing devices offering rapid and portable analytical functionality in real-time as well as massively parallel capabilities with very high sensitivity at the molecular level. Such devices are essential to facilitate research and foster advances in fields such as drug discovery, proteomics, medical diagnostics, systems biology or environmental monitoring.
In this context, an ideal solution is an ion-sensitive field-effect transistor sensor platform based on silicon nanowires to be integrated in a CMOS architecture. Indeed, in addition to the expected high sensitivity and superior signal quality, such nanowire sensors could be mass manufactured at reasonable costs, and readily integrated into electronic diagnostic devices to facilitate bed-site diagnostics and personalized medicine. Moreover, their small size makes them ideal candidates for future implanted sensing devices. While promising biosensing experiments based on silicon nanowire field-effect transistors have been reported, real-life applications still require improved control, together with a detailed understanding of the basic sensing mechanisms. For instance, it is crucial to optimize the geometry of the wire, a still rather unexplored aspect up to now, as well as its surface functionalization or its selectivity to the targeted analytes.
This project seeks to develop a modular, scalable and integrateable sensor platform for the electronic detection of analytes in solution. The idea is to integrate silicon nanowire field-effect transistors as a sensor array and combine them with state-of-the-art microfabricated interface electronics as well as with microfluidic channels for liquid handling. Such sensors have the potential to be mass manufactured at reasonable costs, allowing their integration as the active sensor part in electronic point-of-care diagnostic devices to facilitate, for instance, bed-side diagnostics and personalized medicine. Another important field is systems biology, where many substances need to be quantitatively detected in parallel at very low concentrations: in these situations, the platform being developed fulfills the requirements ideally and will have a strong impact and provide new insights, e.g. into the metabolic processes of cells, organisms or organs.
Semiconductor lasers are ideally suited for mass production and widespread applications, because they are based on a wafer-scale technology with a high level of integration. Not surprisingly, the first lasers entering virtually every household were semiconductor lasers in compact disk players. A new ultrafast semiconductor laser concept has been introduced by Prof. Keller, which is power scalable, suitable for pulse repetition rate scaling in the 10 to 100 GHz regime, supports both optical and electrical pumping and allows for wafer-scale fabrication. This class of devices is referred to as the modelocked integrated external-cavity surface emitting laser (MIXSEL). The next step towards even lower-cost and more compact ultrafast lasers will be electrical pumping with both pico- and femtosecond pulses. This would result in devices ideally suited for many applications such as telecommunications, optical clocking, frequency metrology, high resolution nonlinear multiphoton microscopy, optical coherence tomography, laser display . anywhere where the current ultrafast laser technology is considered to be too bulky or expensive.
The project aims to demonstrate optically and electrically pumped MIXSELs in both the pico- and femtosecond regime. Picosecond MIXSELs are ideally suited for clocking applications whereas femtosecond MIXSELs are required for continuum generation and many biomedical applications. For both cases, average powers above 100 mW with electrical pumping and above 500 mW with optical pumping should be reached, which represent significant advances of ultrafast MIXSELs.
This project targets the development of novel pocket X-ray sources and X-ray direct detectors that will be combined in a distributed network to solve important tasks, for example in the field of security, by ensuring reliable and real-time monitoring of failure sensitive parts in large manufacturing plants or in public transportation.
The miniaturized X-ray sources are based on multi-wall carbon nanotube (CNT) cold electron emitters and advanced microsystems technology. The electron field emission properties of CNTs, with their high current densities, make them prime candidates for cold emitter cathodes. Using CNT cold electron emitters will make it possible to miniaturize the whole X-ray source. Additionally, as opposed to classical thermionic emission, field electron emission of the CNT is voltage-controlled which allows for high modulation frequencies up to GHz level. The X-ray direct detectors in turn are based on crystalline germanium absorption layers grown directly on a CMOS sensor chip yielding high resolution and high sensitivity X-ray detectors. Single photon detection will allow for a significant improvement of contrast for applications in security, health care and nondestructive testing.
The need for Thermally aware IC design
Case Study: Implications of hot spots in a 3D stack with interposer and stacked memory
Validation of Compact Thermal model of the 3D stack
Results and discussion
This project seeks to design innovative tools to measure in vivo biomechanical parameters of joint prostheses, orthopaedic implants, bones and ligaments. These tools, partly implanted, partly external, will record and analyze relevant information in order to improve medical treatments. An implant module includes sensors in order to measure the forces, temperature sensors to measure the interface frictions, magneto-resistance sensors to measure the 3D orientation of the knee joint as well as accelerometers to measure stem micro-motion and impacts. An external module, fixed on the patient.s body segments, includes electronic components to power and to communicate with the implant, as well as a set of sensors for measurements that can be realized externally.
This equipment is designed to help the surgeon with the alignment or positioning phase during surgery. After surgery, by providing excessive wear and micro-motion information about the prosthesis, it will allow to detect any early migration and potentially avoid later failure. During rehabilitation, it will provide useful outcomes to evaluate in vivo joint function. The tools provided can also be implanted during any joint surgery in order to give the physician the information needed to diagnose future disease such as ligament insufficiency, osteoarthritis or prevent further accident. The proposed nanosystems are set to improve the efficiency of healthcare, which is both a benefit to the patient and to society. Although the scientific and technical developments proposed in this project can be applied to all orthopaedic implants, the technological platform which is being built as a demonstrator is limited to the case of knee prosthesis. In addition, by reaching the minimum size achievable thanks to clever packaging techniques and also by reducing, or even removing, the cumbersome battery, it paves the way for a new generation of autonomous implantable medical devices.
There is an increasing demand for sensitive, selective, fast and portable detectors for trace components in gases and liquids, e.g. due to increasing concerns about atmospheric pollutants, and a need for improved medical screening capabilities for early detection of diseases and drug abuse. In that context, the project IrSens aims at building a versatile platform based on optical spectroscopy in the near and midinfrared range. Indeed, techniques based on optical absorption offer the possibility to realize a non-invasive and highly sensitive detection platform. It allows to probe the vibrational frequencies of the targeted molecules - most of which are located in the near and mid-infrared range, and to obtain an unambiguous signature of the investigated gas or liquid.
The idea is to create a photonic sensor platform with high performance and reliability which will leverage on the new source, detector and interaction cell technologies to create a new sensor element with vastly improved performance and lowered cost. These improvements will be demonstrated further by the incorporation into two pilot applications, the first one aiming at the demonstration of sensing in the gas phase, the second one in the liquid phase.
There is nowadays a growing need for sensing devices offering rapid and portable analytical functionality in real-time as well as massively parallel capabilities with very high sensitivity at the molecular level. Such devices are essential to facilitate research and foster advances in fields such as drug discovery, proteomics, medical diagnostics, systems biology or environmental monitoring.
In this context, an ideal solution is an ion-sensitive field-effect transistor sensor platform based on silicon nanowires to be integrated in a CMOS architecture. Indeed, in addition to the expected high sensitivity and superior signal quality, such nanowire sensors could be mass manufactured at reasonable costs, and readily integrated into electronic diagnostic devices to facilitate bed-site diagnostics and personalized medicine. Moreover, their small size makes them ideal candidates for future implanted sensing devices. While promising biosensing experiments based on silicon nanowire field-effect transistors have been reported, real-life applications still require improved control, together with a detailed understanding of the basic sensing mechanisms. For instance, it is crucial to optimize the geometry of the wire, a still rather unexplored aspect up to now, as well as its surface functionalization or its selectivity to the targeted analytes.
This project seeks to develop a modular, scalable and integrateable sensor platform for the electronic detection of analytes in solution. The idea is to integrate silicon nanowire field-effect transistors as a sensor array and combine them with state-of-the-art microfabricated interface electronics as well as with microfluidic channels for liquid handling. Such sensors have the potential to be mass manufactured at reasonable costs, allowing their integration as the active sensor part in electronic point-of-care diagnostic devices to facilitate, for instance, bed-side diagnostics and personalized medicine. Another important field is systems biology, where many substances need to be quantitatively detected in parallel at very low concentrations: in these situations, the platform being developed fulfills the requirements ideally and will have a strong impact and provide new insights, e.g. into the metabolic processes of cells, organisms or organs.
Sensors are becoming ubiquitous in our lives and possible applications are countless. Micro and nanotechnologies are the natural choice for enabling complex sensor nodes, as they are small (thus unobtrusive), cheap and low power. Carbon nanotubes (CNTs) are a perfect example of how nanosystems offer features unachievable with microsystems: their outstanding structural, mechanical and electronic properties have immediately resulted in numerous device demonstrators from transistors, to physical and chemical sensors, and actuators. A key idea of the project is to combine elements from the fundamental knowledge base on the physics of carbon nanotubes, gathered in the past several years, and the fundamental engineering sciences in the area of micro/nano-electromechanical systems, to develop novel devices and processes based on CNTs.
Specificaly, it seeks to demonstrate concepts and devices for ultra-low power, highly miniaturized functional blocks for sensing and electronics. Due to their small mass and high stiffness, doubly clamped CNTs can exhibit huge resonant frequencies. These are carbon nanotube resonators which, as recently demonstrated or predicted theoretically, can reach the multi-GHz range, can be tuned via straining over a wide range of frequency, offer an unprecedented sensitivity to strain or mass loading, exhibit high quality factors, and all these with a very low power consumption.
Recent observed environmental changes as well as projections in the fourth assessment report of the Intergovernmental Panel on Climate Change shed light on likely dramatic consequences of a changing mountain cryosphere following climate change. Some very destructive geological processes are triggered or intensified, influencing the stability of slopes and possibly inducing landslides. Unfortunately, the interaction between these complex processes is poorly understood. This project addresses the key issues in response to such changing conditons: monitoring and warning systems for the spatial and temporal detection of newly forming hazards, as well as extending the quantitative understanding of these changing natural systems and our predictive capabilities.
The principle is to use solar energy, collected on home roofs, which is then used to electrolyze water in order to produce hydrogen and oxygen. These gases are compressed and stored locally to match the gap between supply and demand. Hydrogen and oxygen are filled in adhoc car reservoirs, and subsequently transposed to electricity for fuel cell driven cars. Such a demonstrator system can already be built today; however the economic viability of the project depends on disruptive innovation based upon our capacity to face and resolve very demanding scientific and technical challenges in the years to follow. One of the main issues in this coherent effort is the optimization of the hydrogen production and usage chain. Several major steps, both in science and engineering, are needed to achieve the commercial exploitation of the overall concept.
This project investigates the challenges in mixed signal platforms, such as those embedded in biomedical electronics, micro-systems, sensor networks and wireless communications, from both device and systems perspective. Demonstrators will be developed that cover generic sensor interface/data acquisition, passive telemetry, wireless body area network, wireless sensor networking and wireless wide area networks. The achievements will benefit other Nano-Tera projects focusing on the sensor/actuator side of microsystems, as well as wireless communications SoCs that will challenge the state-of-the-art in integration level, versatility and sophistication of nano CMOS systems.
This project is about further developing probe array techniques for life science applications, notably in the context of cancer research. The consortium shows the balance between experts in sensing technology as well as oncology.
This project aims to considerably improve cryptography on both the key distribution level and the encryption level. Quantum Key Distribution (QKD) is a secure way to generate and distribute keys, which is based on the fundamental laws of quantum mechanics. However, existing systems are too slow. The new QKD system will be capable of producing keys at 1 Mbps rate, which means it will allow 1 MHz OTP encryption for high-level applications.
The core of the system is an integrated chip, the NutriChip, which, as a demonstrator of an artificial and miniaturized gastrointestinal tract, will be able to probe the health potential of dairy food samples, using a minimal biomarker set identified through in vivo and in vitro studies. The project will develop innovative CMOS circuits at the nano-scale for high signal-to-noise ratio optical detection and propose a special microfluidic system closely integrating cell-based materials within the chip.
The NutriChip will be tested for screening and selection of dairy products with specific health-promoting properties, in particular immunomodulatory properties. The CMOS detection chip will be used to image down to single immune cells. For the biochemical validation of the NutriChip platform, the response of the immune cells upon the application of food will be examined by monitoring the Toll-like receptors 2 and 4, key molecules bridging metabolism and immuno-regulation in nutrition.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
cmosaic
1. 3D Stacked Architectures with
Interlayer Cooling - CMOSAIC
Prof. John R. Thome, LTCM-EPFL, Project Coordinator
Prof. Yusuf Leblebici, LSM-EPFL
Prof. Dimos Poulikakos, LTNT-ETHZ
Prof. Wendelin Stark, FML-ETHZ
Prof. David Atienza Alonso, ESL-EPFL
Dr. Bruno Michel, IBM Zürich Research Laboratory
2.
3. tegration & thermal management PhD student: Yassir Madhour
Vertical electrical intercon
Through-Silicon-Via (TS
egration opportunities & threats How to remove heat from a chip stack: int
cooling
al wire length reduction
ory-on-core stacking with vertical electrical § Scales with number of dies whereas backsi
munication → massive core-to-cache bandwidth cooling scales only with die area
er wires & no repeaters → improved power § Heat removal: refrigerant two-phase cooling
3
4
ncy § Two-phase: no electrical insulation, minima
ats: heat flux accumulation, additional thermal temperature gradients, automatic hot-spot h
4. r cooling with evaporated dielectric fluid. PhD st
« eutectic » 3.5Ag-Sn, low melting temperature: 221°C.
A&B Yas
project status: package design optimization. Madh
B
Thomas
chwiler,
Drechsler
5. Students: Michael Zervas, Yuksel Temiz
r-level and CMOS compatible TSV process. Daisy-chain interconnections pattern
on TSVs.
flat surface after TSV fabrication that allows.
lithographic steps.
SVs connected in a single daisy chain.
tance per TSV 0.7 Ohm.
6. Students: Yuksel Temiz, Michael Zervas
• Wafer reconstitution and stencil litho
• Die-level etching and thin-film patter
• Die-level Cu electroplating.
7. Students: Yuksel Temiz (LSM), Sylwia Szczukiewicz (LTCM)
ont-side metal patterning.
ont-side DRIE for inlet/outlet
penings.
ack-side DRIE for microchannels.
licon-Pyrex Anodic Bonding
Front-side
8. Ph.D.: Sylwia Szczukiewicz – Achievements to date
CCD camera
DAQ sys
Micro-evaporator
IR camera
Exploded view of the experimental setup
LTCM flow boiling test facility
4
novel in-situ ‘pixel by pixel’ technique has been developed to calibrat
w infra-red images from IR camera running at 60fps.
9. D.: Sylwia Szczukiewicz – 2D visualisation of two-phase refrigerant fl
Multi-microchannel evaporator having 67 channels with the inlet orifices e=2 and 100x100µ
cross-section areas, Tsat=31.96oC,
ΔTsub=5.63K,
q=30.69W/cm2
G=496.1kg/m2,s,
slow motion (30fps)
CCD recorded @2000
IR recorded @60fps
For the test section
the orifices with t
expansion ratio e=2
Flow direction
flow tends to stabili
the relatively high m
fluxes and heat flu
G=1643.02kg/m2s,
slow motion (30fps)
10. D.: Gustavo Rabello dos Anjos
standard approach Lagrangia
ace ace
surf surf
Development:
[1]
omparison of surface representations;
bitrary Lagrangian-Eulerian Technique;
D(ρu) 1
+ ∇p = 1/2 ∇ · [µ(∇u + ∇uT )] + ρg +
t case: 2D microchannel and 3D Dt N
bubble.
[2]
∇·u=0 mesh velocity gravity
D bubble motion - video
∂u u=u
ˆ Lag
+ (u − u) · ∇u
ˆ
∂t u=0
ˆ Eu
Goals:
[3]
velop a 3D Arbitrary Lagrangian- 2D microc
erian Finite Element code;
velocity
upled heat transfer and two-phase
w
3D rising
dict flows in microscale complex 3
ometries;
vity
11. D.: Gustavo Rabello dos Anjos
rising bubble:
: low velocity
w: bubble rising,
sertion, flipping and to
eletion of grid points
rtion: top view
tion: bottom view
12. D.: Gustavo Rabello dos Anjos
rising bubble:
: high velocity
w: bubble rising,
sertion, flipping and to
eletion of grid points
rtion: top view
tion: bottom view
13. perimental study: PhD student Adrian Renfer
e cavity of a Increased pressure drop at Instantaneous µ-Particle Image
chip stack high flow rates Velocimetry
Vortex shedding induced flow impingemen
tuations are amplified towards the outlet micropin fins
à Higher pumping power
Benefits of enhanced mixing
à High heat transfer
à Non-uniform micropin fin density fo
systematic hot spot cooling
inlet center outlet Planned: measure and evaluate
14. Pin-Fins Inline (PFI) Microchannels (MC) Parallel Pla
Q Q Q
e performance of cooling structures P
design guidelines for 3D chip stacks D
P
H
H
xperimental validation Pressure drop and heat transfer coefficients
Parallel plates
Transition
I) II) Pin-Fins
Microchannels
ly underway: Transitional regime: vortex shedding
on the performance of:
in-fins density adjustment Boundary layer
on-homogeneous heat fluxes regeneration
15. D. Student: Michael Rossier
Goals
roduction of a highly hydrophobic surface to
educe the pressure drop in microchannel
with application for water cooling systems
Approach
Creation of a nanostructure (silicon etching)
Surface functionalization of the created
Needle-like silicon etching
cture (fluorosiloxane)
3
4
16. liquid cooling– Arvind Sridhar, EPFL-ESL
• FIRST-EVER compact modeling based thermal simulator for ICs with microchannel liquid coolin
• Available as an open source Software Thermal Library at http://esl.epfl.ch/3D-ICE
• More than 35 (and counting!) research groups world-wide are using 3D-ICE
E 1.0
d on compact transient thermal modeling (CTTM)
Rconv
5x Faster! than commercial CFD tools even for
l problems
Coolant Flow
3D-ICE 2.0
Rcond Rconv • Advanced model for Enhanced Heat Transfer
Geometries (e.g., Pin Fins)
• 40x Faster! than conventional CTTM
{ X3D-ICE(tn+1)
optimized as Neural Network based simulator for massively parallel
cs Processing Units (GPUs)
arns from 3D-ICE test simulations
Training
n works as stand-alone simulator
{ X(tn) } Algorithm
00x Faster! than conventional 3D-ICE model
{ U(tn+1) } Neural Network
For more information on 3D-ICE please visit the poster
-based simulator
{ XNN(tn+1) }
17. MPSoCs – Mohamed M. Sabry, EPFL-ESL
eve thermal balance in 3D MPSoC tiers
hermal runaway situations (thermal violations)
mal performance degradation
mal energy consumption
Scheduler
Power Manager (
Flow-rate actua
ed technique
gn-time run-time management strategy
sign-time Control knobs identification
Electronic-based:
Dynamic Voltage and Frequency Scaling
Mechanical-based:
Transient Temperature R
Dynamic Varying Flow rate
for Each Unit
n-time thermal management
Fuzzy-logic control
Rule-base look-up table control
Low complexity
Low computation overhead
evements
Thermal violations 0%
20. MOSAIC aims to make an important
bution to the development of the first 3D
mputer chip with a functionality per unit
e that nearly parallels the functional density
of a human brain.
§ A 3D computer chip with integrated
cooling system is expected to:
Overcome the limits of air cooling
ompress ~1012 nanometer sized functional units
1000000
(1 Tera) into one cubic centimeter
100000
Wire Count
§ Yield 10-100 fold higher connectivity
10000
Cut energy and CO2
1000
