D tosi om_efpi
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This document describes a miniature low-cost extrinsic Fabry-Perot interferometer for measuring low pressures. It consists of a diaphragm attached to an optical fiber that changes the air gap when subjected to pressure variations. This allows accurate measurement of pressures below 1 mmHg. The sensor is smaller, lighter, and lower cost than existing pressure sensors. It was tested in burette and heart simulator experiments demonstrating high accuracy below 1 mmHg and stability over long periods.
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![Miniature Low-Cost Extrinsic Fabry-Perot
Interferometer for Low-Pressure Detection
[Optical Metrology, 2013]
Sven Poeggel, Daniele Tosi, Gabriel Leen, Elfed Lewis
University of Limerick, Ireland
Optical Fibre Sensors Research Centre (OFSRC)](https://image.slidesharecdn.com/dtosiomefpi-130505040549-phpapp01/85/D-tosi-om_efpi-1-320.jpg)
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JASCO INTERNATIONAL CO., LTD.
JASCO CHINA (SHANGHAI) CO., LTD.
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Global business of JASCOSize ~100 μｍ
(Macro)
100~5 μm
(Micro)
5~1 μｍ
(Micro)
Target
Ocean
River
Oceans
Rivers
Atmosphere
Organisms*
Atmosphere
Organisms*
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details
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• Number of pieces per unit area
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(Macro)
100~5 μm
(Micro)
5~1 μｍ
(Micro)
JASCO's
proposal
Hardware
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Software
• Advanced
Spectrum
Search (ADSS)
• KnowItAll
Hardware
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• Microscopic FTIR
• Microscopic Raman
Software
• ADSS
• KnowItAll
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Hardware
• Sampling Kits
• Microscopic Raman
Software
• ADSS
• KnowItAll
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0.8 mm
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Observed image
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e-kagaku
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https://global-science.or.jp/eng/
https://e-kagaku.com/
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Polyester
Wavenumber [cm-1]
Wavenumber [cm-1]
Classification : Polyester
Wavenumber [cm-1]
Measurement spectrum
Wavenumber [cm-1]
Spectrum classify
PolyesterApplication
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Unidentified MPs
Macro
1 mm
0.2 mm
1 mm
0.2 mm
Measurement
spectrum
Measurement
spectrum
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Database : Polypropylene resin
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Wavenumber [cm-1]
Wavenumber [cm-1]
Wavenumber [cm-1]
Abs
Abs
Abs
AbsSampling
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1 PTFE 10 μm
2 PTFE 5 μm
3 PTFE 1 μm
4 Alumina 0.2 μm
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Membrane filters
MicroObservation, Measurement
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Micro
Observation
(about 100～5 µm sample)The following measurement methods are selectable for both
microscopic IR/Raman
Observation, Measurement
Point
measurement
Multipoint
measurement
Imaging
(Mapping)
Measurement
MicroObservation, Measurement, Qualitative
Advanced Search NAV
(Multipoint)
Real-time display Automatic registration Display of results
Search NAV
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S1
S3 S2
S4
S5
S6
TiO2
PMMA TiO2
PET
PS
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counts
total
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Fourier transform infrared spectroscopy (FTIR) is a technique that collects infrared spectral data to identify chemical bonds in molecules. It works by passing infrared light through a sample and measuring the vibrations of chemical bonds which produce a unique molecular "fingerprint" spectrum. FTIR provides advantages over other infrared techniques by being faster, more sensitive, and able to analyze a wider spectral range simultaneously. It is widely used for applications like polymer identification, contamination analysis, and biomedical research.
FTIR spectroscopy
This document provides an overview of Fourier Transform Infrared (FT-IR) Spectroscopy. It explains that FT-IR spectroscopy uses an interferometer to measure all infrared frequencies simultaneously, whereas dispersive infrared spectroscopy measures them sequentially. This allows FT-IR to produce spectra much faster. The document also outlines the key components of an FT-IR system, including the Michelson interferometer, beam splitter, fixed and moving mirrors, and how a Fourier transform is used to convert the interferogram signal into an infrared spectrum. Finally, some advantages of FT-IR are noted, such as improved sensitivity and ability to analyze a wide range of sample types.
Talents up grazioli cesare_20_05_2013
Tra Trieste e Nova Gorica per lo studio dei fenomeni ultraveloci / Between Trieste and Nova Gorica for the study of ultra-fast phenomena - by Cesare Grazioli
Phd defense of xin you
The document summarizes a PhD thesis defense on vectorial statistical characterization of optical signals for high-speed communication and quantum communication. It discusses the motivations and objectives of developing an optical pulsed source with picosecond pulses, tunable repetition rate from MHz to GHz, high extinction ratio, and low noise for applications in optical undersampling and quantum key distribution. The proposed architecture generates pulses using a semiconductor optical amplifier, compresses them using soliton effects in fiber, and suppresses pedestals using an optical filter. Characterization shows pulses down to 1 ps can be generated with repetition rates from 100 MHz to 790 MHz and carrier wavelengths from 1540 nm to 1565 nm, with timing jitter below 3 ps.
16.20 04 j anthony
Terahertz pulses were successfully guided in microstructured photonic crystal fibers made of Zeonex and PMMA. Zeonex PCFs provided low-loss guidance through modified total internal reflection. Kagome PCFs inhibited coupling between the core mode and cladding modes, resulting in attenuation below 0.6 cm-1. Measurements with THz time-domain spectroscopy characterized the fibers by analyzing their temporal pulse propagation, mode profiles, and transmission properties. Photonic crystal fibers were shown to be a promising approach for low-loss terahertz waveguiding.
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More from Daniele Tosi
D tosi om_fbg
University of Limerick - Politecnico di Torino - presentation for Optical Metrology 2013, Munich - FBG paper.
Medfiber pitch - Polymerchallenge
The document summarizes the Medfiber project, which aims to develop a non-invasive fiber optic probe for urinary incontinence diagnosis. The current methods are invasive, inconclusive, and expensive. Medfiber would be catheter-free, have high accuracy, and reduce hospitalization costs. It combines interferometric fiber optic sensor technology with a disposable all-in-one probe. The founders describe the market opportunity, business model, sales and marketing plan, team, and project milestones. Their projections estimate the company could reach over 3 million Euros in net income within 5 years if scalability goals are met.
IFBG pitch
The document discusses Intelligent Fiber Bragg Gratings (IFBG), which are fiber optic sensors embedded in optical fiber that can sense multiple physical parameters. IFBG prototypes have been developed in-house that are cheaper than existing solutions. IFBGs use Fiber Bragg Gratings (FBG) and can be multiplexed into arrays and interrogated using different architectures involving switches, lasers, and photodiodes. Potential applications include structural health monitoring of composites.
D. Tosi - presentation Kuang Chi 2011
Daniele Tosi has an academic background in telecom engineering and electronics engineering. He has industrial experience and is currently a postdoc focusing on university spin-offs. His research plan focuses on developing a "Lab-in-a-fiber" architecture using fiber Bragg gratings and evanescent field sensing to create distributed, low-cost sensors for strain, temperature, and biochemical measurements. His goals are to improve sensor performance and lower costs over 4 years, working with technology partners and pursuing commercialization through technology transfer and potential spin-off.
Presentation ph d
The document discusses fiber optic sensor technologies and their applications. It describes how fiber Bragg grating (FBG) sensors work by detecting changes in the refractive index modulation of an optical fiber core in response to strain and temperature. FBG sensors can be multiplexed by attaching multiple FBG arrays to an optical fiber and using wavelength division multiplexing to separate the signals. The market for fiber optic sensors is growing and expected to surpass wireless sensor networks by 2011 due to fiber optic sensors' immunity to electromagnetic interference and ability to distribute sensing points along an optical fiber.
Fbg pitch
The document discusses fiber Bragg grating (FBG) sensor technologies for strain and displacement sensing. It compares the performance of different FBG sensor types including scanning FBG, fiber Bragg grating array (FBGA), and interrogated FBG (I-FBG) sensors. I-FBG sensors offer high resolution down to 0.1 nanostrain at fast speeds of 10 kHz while costing around $1.5k. Potential applications of FBG sensors discussed include structural health monitoring, acoustics measurement, and weight-in-motion systems for aerospace.
More from Daniele Tosi (7)
Recently uploaded
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Things to Consider When Choosing a Website Developer for your Website | FODUU
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Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
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9. What is Camel K?
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10. Configuring Camel K Integrations for Data Pipelines
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
National Security Agency - NSA mobile device best practices
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
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
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6. Ideas and approaches to help build your organization's AI strategy.
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Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Recently uploaded (20)
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
20240609 QFM020 Irresponsible AI Reading List May 2024
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
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National Security Agency - NSA mobile device best practices
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HCL Notes and Domino License Cost Reduction in the World of DLAU
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How to Get CNIC Information System with Paksim Ga.pptx
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D tosi om_efpi
- 1. Miniature Low-Cost Extrinsic Fabry-Perot Interferometer for Low-Pressure Detection [Optical Metrology, 2013] Sven Poeggel, Daniele Tosi, Gabriel Leen, Elfed Lewis University of Limerick, Ireland Optical Fibre Sensors Research Centre (OFSRC)
- 2. Problem Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick In-vivo pressure measurement High accuracy (1 mmHg or below) Minimum invasiveness (size, weight) Low-cost disposable probe Immunity to EMI FIBER-OPTIC
- 3. Extrinsic FP Interferometer Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick EFPI: Fiber-optic Fabry-Perot interferometric sensor based on all- silica glass structure: (1) launch fiber, (2) diaphragm, (3) capillary + FBG Capillary Launch SM fiber Diaphragm MM fiber AIR-GAP dL Fiber Bragg Grating (FBG)
- 4. EFPI/FBG spectrum Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick FBG λB = (Tλ 0) + 10.2 pm/°C ・ TΔ EFPI L = -SΔ p P -1.6 nm/°CΔ ・ TΔ
- 5. Air-gap length L FP Spectrum ~ S0 + k cos[4πL/ ]λ d Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick EFPI principle L
- 6. Pressure Air-gap length L = L0 - Sp PΔ FP Spectrum ~ S0 + k cos[4π(L - Sp PΔ )/ ]λ Temperature: L = L0 - Sp P + SΔ T TΔ ⇒ FBG L0 - Sp PΔ Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick EFPI principle L
- 7. FBG detectionFBG detection EFPI/FBG system ASE sourceASE source SpectrometerSpectrometer 1530-1600 nm 1520-1596 nm CouplerCoupler 3 dB 1x4 switch ServerServer EFPI EFPI EFPI EFPI+FBG DAQDAQ (LabVIEW)(LabVIEW) Pressure Temperature} Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick EFPI detectionEFPI detection ProbeProbe calibrationcalibration
- 8. Performance chart UL EFPI/FBG St. Jude PressureWire Opsens OPP-M Technology Fiber optic, EFPI/FBG Guidewire Fiber optic, EFPI Diameter 0.2 mm 0.35 mm 0.55 mm Accuracy 0.2 mmHg 2 mmHg 2 mmHg Speed 100 Hz 25 Hz 20/250 Hz Stability 0.6 mmHg/hr >5 mmHg/hr 4.0 mmHg/hr Temperature Compens. 0.5°C None None Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick
- 9. Burette test Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick RMSE = 2.29 mmH2O RMSE = 1.30 mmH2O
- 10. Burette test Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick RMSE = 2.29 mmH2O = = 0.21 mmHg
- 11. Long-term stability Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick 0.63 mmHg 2.76 mmHg Typical fiber optic drift ~ 5 mmHg/hr
- 12. Heart simulator Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick Heart simulator Interrogator/processing Heart pumping Sensor positioning (short access) EFPI spectrum Pressure meas. Spectrometer ASE source Heart pumping inletFiber inlet
- 13. Heart simulator Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick Time (s) Pressure (mmHg)
- 14. Ventricular assist Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick Polymer Core, Cleveland Clinic, US Mar 2013FPI positioning Ventricular assist Reference (fluidic) Pressure readout
- 15. Ventricular assist Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick
- 16. Ventricular assist Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick Pressure (mmHg) Polymer Core, Cleveland Clinic, US Mar 2013
- 17. Daniele Tosi - Optical Fibre Sensors Research Centre - project portfolio - UL2013 Urodynamics InterrogatorInterrogator Differential pressure measurement Bladder outlet obstruction (BOO) diagnostic
- 18. Acknowledgments ‣ Cleveland Clinic and Pointec Medical ‣ FP7 Marie Curie (299985-PROBESENSE) ‣ Science Foundation Ireland (RFP/ECE2898) ‣ Enterprise Ireland (IP-2012-0166-Y) ‣ University of Limerick, MSSI and CES depts. Daniele Tosi - Optical Fibre Sensors Research Centre (OFSRC) - University of Limerick