👏 We’re thrilled to have participated in RTNC 2024 in Toulouse, hosted by Centre National d'Études Spatiales! 🗣️ At this key event for the space community, Manuel Muñoz (CEO at FENTISS), shared insights on the evolution of XtratuM hypervisor and its success along with the COSMOS framework (former LVCUGEN). 🛰️ FENTISS’s talk focused on the partnership between the company and CNES, as well as how XtratuM has reached maturity in the last years and the great acceptance of the software in the industry. 🗒️ Additionally, FENTISS was also present at the poster session with dedicated material about SKE, our “Separation Kernel Emulator” which aims to deliver the same features and functionalities of the XtratuM hypervisor in a Linux host platform. Thank you to CNES and all attendees for letting us to share our work with you!
FENTISS’ Post
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I am excited to share that the final part of my Doctoral Thesis has just been published! 📚✨ 🙏 a big thank you to my supervisors and collaborators: Konstantinos Tatsis, Roland M. Hohensinn, John Clinton, Eleni Chatzi, Markus Rothacher 🔬 Title: Unscented Kalman Filter-Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking 📄 What is it about? In seismology or structural monitoring, we often face the challenge of measuring vibrations that vary immensly. The motion of interest spans a very broad frequency band, from kHz up to daily or even yearly variations. Additionally, the amplitudes range from being imperceptible to the human eye to visible and permanently displacing fault lines. On top of all that, the traditional translational sensors such as accelerometers and GNSS antennas and receivers are sensitive to rotational motion. Our paper introduces the well-known method, the Unscented Kalman filter, for new applications in seismology and structural monitoring. It enables the fusion of both accelerometer data and GNSS positions while simultaneously correcting for rotation-induced errors. This fusion scheme then provides displacement, velocity and rotation time series across a broad frequency band and in near real-time. 🔗 Link to Paper: https://lnkd.in/dH9FhEAv
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🌊📈Last Friday was an inspiring day at ApsaLadHyXa 2024, where physicists from the Laboratory of Hydrodynamics at École Polytechnique (LadHyX) came together to share their fascinating work. From fluid dynamics to financial markets, it was remarkable to see how tools from physics can effectively model complex behaviors. In my talk, Hydrodynamics in Financial Markets, I discussed how concepts from physics can be applied to finance to better understand stochastic dynamics. I was greatly inspired by Prof. Alexander Lipton’s book “Hydrodynamics of Markets”, where they use the Fokker-Planck to understand the dynamics of transition probabilities and then solve it with special solutions to the Navier-Stokes equations with linear flow to compute the expected payoff of options in derivative pricing. Additionally, jean-philippe bouchaud’s collaborative research on modeling the limit order book with a reaction-diffusion model has been highly influential to me, as it explains the well known square-root law of market impact. These examples demonstrate the effectiveness of applying physics-based methods to the study of derivative pricing and market microstructure. 💡📊 🙌🚀 A big thank you to all the presenters and to the EconophysiX Lab, where my fellow researchers and I use tools from physics to better understand socio-economic systems. It was great to see so many contributions from our lab, highlighting the power of physics in explaining financial and economic phenomena.
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Can [FeFe] hydrogenases be rationally engineered for improved performance? 📈 After ~four years and three resubmissions, I'm excited to share that the "magnum opus" from my PhD studies has finally been published in JACS. 📚✨ By incorporating key structural features from catalytic [FeFe] hydrogenases into a putatively sensory enzyme, a variant was created that is faster and more resilient to oxygen than its slower natural counterpart. 🛠️ Thank you to all who contributed: Alina Sekretareva, Moritz Senger, Ping Huang, Kaija Walter, Holly Redman PhD, Nicholas Croy, Sven Stripp, Henrik Land, and Gustav Berggren 🙇♀️ https://lnkd.in/dhPwqqNH
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AISEC-artificial intelligence research centre for security and preparedness in Norway an Adapa360.com initiative recently handed in 200 million kroner budget for support to the Norwegian Research Council. Big thanks to Per Filip Tjeransen for all of the support ,and professor Olaf Graven for accepting the challenge to lead the initiative through USN - university of southeastern Norway. Last but not least a big thank you to all of the 40 plus companies and organizations that contributed and are a part of the research center application. SINTEF Digital, Norwegian Computing Centre, the head of Economic Development in Kongsberg Region and many more. What a brilliant way to start the year 2025.
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I am excited to share that our paper, titled "𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗧𝗮𝘀𝗸 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗨𝘀𝗶𝗻𝗴 𝗛𝘂𝗺𝗮𝗻 𝗣𝗼𝘀𝘁𝘂𝗿𝗲 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝟯𝟲𝟬-𝗗𝗲𝗴𝗿𝗲𝗲 𝗩𝗶𝗱𝗲𝗼𝘀," has been accepted for presentation at the 𝘐𝘌𝘌𝘌 𝘊𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘰𝘯 𝘝𝘪𝘳𝘵𝘶𝘢𝘭 𝘙𝘦𝘢𝘭𝘪𝘵𝘺 𝘢𝘯𝘥 3𝘋 𝘜𝘴𝘦𝘳 𝘐𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦𝘴 (𝐼𝐸𝐸𝐸 𝑉𝑅), which will be held in Saint-Malo, France. This work will be presented as part of IEEE VR's 4th International Workshop on eXtended Reality for Industrial and Occupational Supports (XRIOS). We propose a novel framework that uses 360-degree video recordings, human posture estimation, and Gaussian Splatting for real-time digital twin modeling. Applications of this approach extend to industrial safety, ergonomics, and training, providing scalable and human-centered solutions. This paper is part of the ongoing research at the HiMER Lab in the field of digital twin modeling. We'll have more to share soon! A big thank you to my doctoral advisor and co-author for this work, Dr. Heejin Jeong, and our collaborating author, Dr. Ricardo Eiris. We gratefully acknowledge funding support from the Pilot Project Research Training Program at Southern California NIOSH Education and Research Center (SCERC).
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Hello everyone, I am thrilled to share the progress on our final year project. After some setbacks and modifications, we have successfully implemented AMCL (Adaptive Monte Carlo Localization) on our simulated robot. While this is a significant milestone, there are still many more functionalities to be added. Our goal is to build a safeguarding robot for the streets. Since our team is new to ROS2, we are unable to find out a way for implementing localization in outdoor environments and inter-city navigation. In our previous post, we mentioned an issue with the simulation, and we're grateful to the ROS community specialists who reached out to help us resolve those problems. Your support has been invaluable! As Gazebo Classic has reached its end of life, we attempted to migrate to Ignition Gazebo, which led to a previous issue — the robot was unable to turn along the z-axis unexpectedly. Unfortunately, despite our efforts, we were unable to resolve this issue and decided to continue using Gazebo Classic. If anyone has any suggestions or ideas on how to address these challenges, we would be grateful for your input. Thank you all for your wonderful support! Team members Radhika Kurva NAGARAJA MOTHUKURI Kotha Jyothireddy Sai Shiva Ram Peddireddy
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Torsten Pfalz thank you for the opportunity to present today at #Kerntechnik. This has given me the opportunity to reflect back on the amount of effort that has been made to ensure we have tools and methods in place to enable a systematic structured approach to enable control of the design. Through systems engineering including requirements management and configuration management we have a basis to oversee the execution of the project and ensure our requirements are met. A question was asked what lessons learned can I share with the big gameplayers? In my humble opinion: - systems engineering is key, but systems thinking is leading. - hindsight is an exact science, but even if you know there is missing information have a plan / vision/ roadmap that teams can follow and what can be used to prioritise tasks. - you cannot build a reactor alone, you need people.
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🚀 I feel pleased to report that our new brain emotional learning control performed precisely on the nonlinear systems (Inverted pendulum and Twin rotor MIMO system) that are available at Isfahan University of Technology's Nonlinear Control Lab. 🖥 💡 We previously submitted an article including a new Robust Type 2 Fuzzy Wavelet Control Design Practical (Twin Rotor Momo System)and Simulation (Excavator). We focus on an inverted pendulum (a nonlinear system) with a novel adaptive emotional learning control system. This outcome allows us to move forward with authoring our paper. I want to thank everyone who collaborated on this project, especially my friend and cooperator Mr. Alireza Nezamzadeh, And Profs. Amirmehdi Yazdani, Hamed Habibi, and Marzieh Kamali to collaborate in developing new control system solutions. Following the publication of the papers, we will share further information about our contribution to the design of robust and accurate controllers in the field of control systems. 💡 I appreciate the support and insights that enabled this work and look forward to discussing its implications with enthusiasts and experts in the field. 📧 🤝
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thank you for everything " Time travel is the hypothetical ability to travel to the past or future. It's a common theme in fiction, especially science fiction, and has been depicted in many media forms since the late 19th century. In fiction, time travel is often achieved by using a time machine, and stories often focus on the consequences of changing history. However, no one has ever demonstrated the ability to travel through time as depicted in science fiction. According to Albert Einstein's theories of relativity, it's possible to travel into the future by traveling at speeds close to the speed of light or spending time in an intense gravitational field. However, traveling into the past is considered very difficult or impossible. Some scientists believe that cosmic strings could be used to create a closed timelike curve, which could theoretically allow a spaceship to travel back in time. However, this is highly speculative, and would require a loop of string that contained half the mass-energy of an entire galaxy. Another theory is that rotating lasers could be used to travel back in time. Ronald Mallett's prototype laser loop bends time, which could hypothetically allow movement back to the moment the machine was turned on. "
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The Leica UC Enuity ultramicrotome with the M205 fluorescence module is a compelling value...
Fluorescent samples for UC Enuity A huge thank you to Felix Gaedke, Veronika Wulff and Astrid Schauss from CECAD Cologne! Felix showed me how to use the automatic freeze substitution system EM AFS2 to embed fluorescent cell monolayers for later automatic trimming under fluorescence using the ultramicrotome UC Enuity (follow for more).
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