Agu maosi chen h31g-1590 retrieval of surface ozone from uv-mfrsr irradiances...Maosi Chen
High concentration of surface ozone is harmful to humans and plants. USDA UV-B Monitoring and Research Program (UVMRP) uses Ultraviolet (UV) version of Multi-Filter Rotating Shadowband Radiom-eter (UV-MFRSR) to measure direct, diffuse, and total irradiances every 3 minutes at 7 UV channels (i.e. 300, 305, 311, 317, 325, 332, and 368 nm channels with 2 nm full width at half maximum). There have been plenty of literature exploring retrieval methods of total column ozone from UV-MFRSR measurements, but few has explored the retrieval of surface ozone. Under clear-sky conditions, UV irradiances absorption by ozone are significant and variable by height and wavelength. Therefore, multi-channel UV irradiances at the ground have the potential to resolve ozone concentrations at multiple vertical layers (including surface ozone). In this study, we used a deep learning algorithm (i.e. Self-Normalizing Neural Network, SNN) to retrieve surface ozone from 3-minute UV-MFRSR direct and diffuse irradiances (and the airmass) under clear-sky conditions at the UVMRP station located at Billings, Oklahoma. The 3-minute surface ozone data for training and validation are accumulated from 1-second surface ozone measured at the collocated Southern Great Plains (SGP) station by US Department of Energy Atmospheric Radiation Measurement Climate Research Facility (ARM). To cover the cloudy conditions, we also explored several spatial interpolation techniques [i.e. Triangulation-based linear interpolation, Graph Convolutional Neural Network (GCNN or ChebNet), mixture model network (MoNet), and Re-current Neural Network (RNN)] to estimate the hourly surface ozone at the same UVMRP station from the adjacent (i.e. within the 3-degree box of) US Environmental Protection Agency (EPA) hourly surface ozone observations.
Evaluating effectiveness of radiometric correction for optical satellite imag...Dang Le
One of our published researches in ACRS 31st in Hanoi.
It has been used for our project in processing optical satellite imagery to detect environmental pollution.
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
Lec6: Pre-Processing for Nuclear Medicine ImagesUlaş Bağcı
2017 Spring, UCF Medical Image Computing
1. The use of PET/SPECT, PET/CT and MRI/PET Images
2. What to measure from Nuclear Medicine Images?
3. Denoising Nuclear MedicineI mages
4. PartialVolumeCorrection
ImageEnhancement • Filtering • Smoothing • Introduction to Medical Image Computing and Toolkits • Image Filtering, Enhancement, Noise Reduction, and Signal Processing • MedicalImageRegistration • MedicalImageSegmentation • MedicalImageVisualization • Machine Learning in Medical Imaging • Shape Modeling/Analysis of Medical Images Deep Learning in Radiology
Agu maosi chen h31g-1590 retrieval of surface ozone from uv-mfrsr irradiances...Maosi Chen
High concentration of surface ozone is harmful to humans and plants. USDA UV-B Monitoring and Research Program (UVMRP) uses Ultraviolet (UV) version of Multi-Filter Rotating Shadowband Radiom-eter (UV-MFRSR) to measure direct, diffuse, and total irradiances every 3 minutes at 7 UV channels (i.e. 300, 305, 311, 317, 325, 332, and 368 nm channels with 2 nm full width at half maximum). There have been plenty of literature exploring retrieval methods of total column ozone from UV-MFRSR measurements, but few has explored the retrieval of surface ozone. Under clear-sky conditions, UV irradiances absorption by ozone are significant and variable by height and wavelength. Therefore, multi-channel UV irradiances at the ground have the potential to resolve ozone concentrations at multiple vertical layers (including surface ozone). In this study, we used a deep learning algorithm (i.e. Self-Normalizing Neural Network, SNN) to retrieve surface ozone from 3-minute UV-MFRSR direct and diffuse irradiances (and the airmass) under clear-sky conditions at the UVMRP station located at Billings, Oklahoma. The 3-minute surface ozone data for training and validation are accumulated from 1-second surface ozone measured at the collocated Southern Great Plains (SGP) station by US Department of Energy Atmospheric Radiation Measurement Climate Research Facility (ARM). To cover the cloudy conditions, we also explored several spatial interpolation techniques [i.e. Triangulation-based linear interpolation, Graph Convolutional Neural Network (GCNN or ChebNet), mixture model network (MoNet), and Re-current Neural Network (RNN)] to estimate the hourly surface ozone at the same UVMRP station from the adjacent (i.e. within the 3-degree box of) US Environmental Protection Agency (EPA) hourly surface ozone observations.
Evaluating effectiveness of radiometric correction for optical satellite imag...Dang Le
One of our published researches in ACRS 31st in Hanoi.
It has been used for our project in processing optical satellite imagery to detect environmental pollution.
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
Lec6: Pre-Processing for Nuclear Medicine ImagesUlaş Bağcı
2017 Spring, UCF Medical Image Computing
1. The use of PET/SPECT, PET/CT and MRI/PET Images
2. What to measure from Nuclear Medicine Images?
3. Denoising Nuclear MedicineI mages
4. PartialVolumeCorrection
ImageEnhancement • Filtering • Smoothing • Introduction to Medical Image Computing and Toolkits • Image Filtering, Enhancement, Noise Reduction, and Signal Processing • MedicalImageRegistration • MedicalImageSegmentation • MedicalImageVisualization • Machine Learning in Medical Imaging • Shape Modeling/Analysis of Medical Images Deep Learning in Radiology
Searches for Cosmic Ray Electron Anisotropies with the Fermi-Large Area Teles...Vlasios Vasileiou
This is a talk presenting our stringent constraints on the anisotropy of high-energy cosmic ray electrons, as measured by the Fermi-Large Area Telescope.
Uncertainty in Petrophysics From Bayes To Monte CarloSimon Stromberg
Increasingly, reduced petrophysical data sets are being used to make critical decisions about the location of deepwater exploration wells. In addition, while drilling deepwater wells, reduced data sets are being used to make well design and completion decisions that may impact the safe operation of the well. However, despite numerous examples in the literature of how data is used to make decisions, very little attention has been given to reliability of the data and its impact on uncertainty, diagnosis, and risk. This presentation will act as a catalyst for starting a discussion on the impact of data reliability on risk assessment. The talk will cover the fundamental principles of uncertainty risk and the impact of data reliability on decision making. Two examples will be used to illustrate the issues. The first will look at risking of exploration wells using AVO response that has low/marginal reliability. The second example will be the risk analysis of a published paper: ‘Detecting Shallow Drilling Hazard in Large Boreholes Using LWD Acoustics’. This paper avoided the issue of data reliability. The potential impact of not considering data reliability will be explored and discussed with the group.
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS On the spectrum of the plenoptic f...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Efficient charge transfer induced organic/inorganic based hybrid heterojunction of Ppy/GaN nanorods for high-performance self-powered UV photodetection
Achieving 5 x More Sensitivity And Less Variation In Results Than Covalent Ch...Anteo Technologies
A new method of conjugating antibodies to particles was compared to covalent conjugation in a lateral flow assay for human Chorionic Gonadotropin (hCG).
Anteo Technologies has launched a new Lateral Flow Coupling Kit that contains Anteo’s patented Activation Reagent with all necessary buffers for conjugating antibodies to a range of particles used for lateral flow applications.
In this paper, we demonstrate the performance advantages of using activated magnetic particles, only requiring the addition of antibody solution and blocking. Keeping all other variables constant, this kit was directly compared to covalently (EDAC chemistry) conjugated magnetic particles of the same type using visual detection as the readout.
In this hCG study, this coupling kit achieves five times more sensitivity than the covalently conjugated magnetic particle based assay using half the amount of antibody.
A Novel Approach for Ship Recognition using Shape and Texture ijait
Maritime security includes reliable identification of ship entering and leaving a nation’s territorial waters. Sea target detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. Automated systems that could identify a ship could complement existing electronic signal identification methods. A new classification approach using shape and texture is introduced for Ship detection. Texture information can improve classification performance. This approach uses both shape and texture features. Feature extraction is done by Hu’s moment invariants with several classification algorithms. This paper presents an overview of
automatic ship recognition methods with a view towards embedded implementation on optical smart cameras. Therefore this approach may attain a good classification rate.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
9. The Formula has a good approximation to the theoretical value of the polarization entropy Eigenvalues and logarithm are unnecessary!!! Running Time by the proposed formula is only 5% of that by the traditional approach J. Yang, Y. Chen, Y. Peng, Y. Yamaguchi, H. Yamada, “New formula of the polarization entropy”, IEICE Trans. Commun., 2006, E89-B(3), 1033-1035
10. Similarity parameter single-look case Multi-look case J. Yang, et al., “Similarity between two scattering matrices,” Electronics Letters, vol.37, no. 3, pp. 193-194, 2001.
11. Similarity between a target and a plate: surface scattering Similarity between a target and a diplane: Double-bounce scattering
12. Generalized OPCE (GOPCE) based ship detection J. Yang, Y. Yamaguchi, W. -M. Boerner, S. M. Lin, “Numerical methods for solving the optimal problem of contrast enhancement,” IEEE Trans. Geosci. Remote Sensing, 2000, 38(2), pp. 965-971
13. GOPCE : G eneralized OPCE J. Yang, et al., “Generalized optimization of polarimetric contrast enhancement”, IEEE GRSL., vol.1, no.3, pp.171-174, 2004
27. Pre-test Approach for Speckle Filtering To-be-filtered pixel Pre-tested pixels Summary of Speckle Filtering : Two-Step Methodology An example of pre-testing homogenous pixels in non-local area by patch patch patch : pixel itself and its local neighboring non-local area : other than neighboring area pre-test : selecting homogenous pixels in non-local area by patch /28 Selecting homogenous pixels Averaging homogenous pixels Boxcar local area In neighboring area Uniformly weight Lee In aligned matching window By mmse criteria Pre-test In non-local area By the similarity of patch
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