RoughSurfaceModels.ppt
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The document summarizes recent advances in analytical models for electromagnetic scattering from rough surfaces, including the statistical integral equation method (SIEM) and the extended advanced integral equation method (E-AIEM). SIEM incorporates surface slope statistics into the Kirchhoff approximation to improve accuracy. E-AIEM makes fewer assumptions than previous models and includes correction terms involving the error function for more accurate cross and complementary scattering coefficients, especially when surfaces or media are lossy. Testing shows these new methods agree well with full-wave simulations and experimental data.
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![Some Extensions to the Integral Equation Method for Electromagnetic Scattering from Rough Surfaces Yang Du [email_address] Zhejiang University, Hangzhou, China 2011.7.25](https://image.slidesharecdn.com/roughsurfacemodels1-110725161650-phpapp02/85/RoughSurfaceModels-ppt-1-320.jpg)
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Abstract: We find Survival rate estimates, parameter estimates for the Weibulldistribution model using least-squares estimation method for the case when partial derivatives were not available, the Simplex optimization Methods (Nelder and Mead, and Hooke and Jeeves were used, and for the case when first partial derivatives were available, the Quasi – Newton Methods(Davidon-Fletcher-Powel (DFP) and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimization methods)were applied.The medical data sets of 21 Leukemiacancer patients with time span of 35 weeks were used.
Tropical Cyclone Determination using Infrared Satellite Image
Many sub continents in the world have the region that are affected by the cyclone in every year. To prevent the loss of life and their assets, cyclone prediction is a major role because of directly related to the lives and household of human being. Satellite images provide an excellent view of clouds which can be used in weather forecasting and especially Infrared Red IR satellite images play in many environmental applications. To find the tropical cyclone TC center, the basic stage is to extract the main cloud of the cyclone. In manual segmentation, selection of the storm region is complicated, time consuming task and it also need the human experts for every time processing. The semi and fully automatic storm detection is sophisticated and difficult process because of the overlapping between boundaries of the cloud. Fuzzy C means FCM clustering and morphological image processing is applied for segmentation each infrared satellite images. The effectiveness is tested for infrared cyclone image over Kalpana satellite which is obtained from the INSAT satellite of India. 45 tropical cyclones are occurred during the period 1989 2014 over Bay of Bengal. Cyclones Nargis that mainly affected to Myanmar in 2 May 2008 as case study. Experimental results show that the high location accuracy can be obtained. Thu Zar Hsan | Myint Myint Sein "Tropical Cyclone Determination using Infrared Satellite Image" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27934.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/27934/tropical-cyclone-determination-using-infrared-satellite-image/thu-zar-hsan
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40120130406008
This document summarizes research on using particle swarm optimization to reconstruct microwave images of two-dimensional dielectric scatterers. It formulates the inverse scattering problem as an optimization problem to find the dielectric parameter distribution that minimizes the difference between measured and simulated scattered field data. Numerical results show that a particle swarm optimization approach can accurately reconstruct the shape and dielectric properties of a test cylindrical scatterer, with lower background reconstruction error than a genetic algorithm approach. The research demonstrates that particle swarm optimization is a suitable technique for high-dimensional microwave imaging problems.
Zhang weglein-2008
This document summarizes research on direct non-linear inversion of 1D acoustic media using the inverse scattering series. Key points:
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- Testing on a single reflector case showed improved estimates of property changes beyond the reflector compared to linear methods, for a wider range of angles.
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Melles
This document discusses optimization techniques for sampling strategies in long-term environmental monitoring of gamma dose rates. It presents regression kriging and simulated annealing as methods for optimizing sampling locations to minimize prediction errors while accounting for spatial autocorrelation. An example application to a gamma radiation monitoring network in Europe demonstrates that minor changes to the existing network could improve mapped predictions along borders. The document notes several shortcomings and areas for further improvement, such as dealing with extreme values and incorporating dynamic and multi-criteria optimization that considers monitoring purposes and constraints.
Physics NSF_REU Tim Kilmer Poster 2016
This project aims to simulate the density of states and band structure of joined bi-layer graphene using density functional theory (DFT) and compare it to graphene. DFT simulations were performed on joined bi-layer graphene and graphene to calculate potential energy, defect formation energy, and density of states. The bi-layer graphene system was found to be not spin polarized with a low defect formation energy of 0.001 eV per atom. Additionally, the project works to develop a 3D printing process for proposed graphene structures by converting structure files to STL files for printing.
Path Loss Prediction by Robust Regression Methods
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
P367
This document summarizes large eddy simulations of supersonic non-reactive and reactive flows performed with an immersed boundary method on two configurations. The first test case is a Mach 3.5 flow over a cylinder, which showed excellent agreement with theory. The second case is a supersonic hydrogen-air burner, where comparisons to experimental data for species mass fractions and temperature also led to good agreement. The impact of burner geometry on the velocity and species fields was studied using the immersed boundary method.
Estimating Reconstruction Error due to Jitter of Gaussian Markov Processes
This paper presents estimation of reconstruction error due to jitter of Gaussian Markov Processes. Two samples are considered for the analysis in two different situations. In one situation, the first sample does not have jitter while the other one is effected by jitter. In the second situation, both the samples are effected by jitter. The probability density functions of the jitter are given by Uniform Distribution and Erlang Distribution. Statistical averaging is applied to conditional expectation of random variable of jitter. From that, conditional variance is obtained which is defined as reconstruction error function and by knowing that, the reconstruction error of a Gaussian Markov Process is determined.
Overview combining ab initio with continuum theory
Multi-methodological approaches combining quantum-mechanical and/or atomistic simulations
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computational materials science. A crucial aspect when applying these strategies is to carefully check,
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Coates weglein-1996
Internal multiple attenuation using inverse scattering: Results from prestack 1 & 2D acoustic and
elastic synthetics
R. T. Coates*, Schlumberger Cambridge Research, A. B. Weglein, Arco Exploration and Production Technology
Summary
The attenuation of internal multiples in a multidimensional
earth is an important and longstanding problem in exploration
seismics. In this paper we report the results of applying
an attenuation algorithm based on the inverse scattering
series to synthetic prestack data sets generated in on
and two dimensional earth models. The attenuation algorithm
requires no information about the subsurface structure
or the velocity field. However, detailed information about
the source wavelet is a prerequisite. An attractive feature of:
the attenuation algorithm is the preservation of the amplitude
(and phase) of primary events in the data; thus allowing for
subsequent AVO and other true amplitude processing.
Internal multiple attenuation using inverse scattering: Results from prestack...
The attenuation of internal multiples in a multidimensional
earth is an important and longstanding problem in exploration
seismics. In this paper we report the results of applying
an attenuation algorithm based on the inverse scattering
series to synthetic prestack data sets generated in on
and two dimensional earth models. The attenuation algorithm
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or the velocity field. However, detailed information about
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This document discusses extrapolation, which is constructing new data points outside a range of known data points based on trends. It summarizes extrapolation techniques, assumptions, advantages, and disadvantages. Common extrapolation methods include least squares curve fitting, smooth curve fitting, and nonlinear curve fitting using the Levenberg-Marquardt algorithm. Examples of extrapolation applications given are weather and hurricane forecasting, geophysical modeling, and estimating properties at temperature and depth extremes.
Laser Pulsing in Linear Compton Scattering
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Effectiveness of Element Free Galerkin Method over FEM
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This document discusses using wavelet transforms to analyze two-point statistics of polarimetric synthetic aperture radar (PolSAR) data. It introduces wavelet variance and kurtosis as metrics that can be applied to PolSAR data transformed using a wavelet frame. It then provides an example of applying this analysis to ALOS PALSAR data over Hawaii's Papau Seamount to characterize sea surface features.
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- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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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.
Columbus Data & Analytics Wednesdays - June 2024
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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.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Artificial Intelligence for XMLDevelopment
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.
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RoughSurfaceModels.ppt
- 1. Some Extensions to the Integral Equation Method for Electromagnetic Scattering from Rough Surfaces Yang Du [email_address] Zhejiang University, Hangzhou, China 2011.7.25
- 8. Correlation Coefficients between Slopes at Different Points
- 9. The Significance of Slope Statistics If the conventional KA approach is incorporated with the surface slope statistics, the resulting model appears almost immune to the Brewster angle effect for vertical polarization. This feature is expected since the directions of the unit normal which lead the local angles of incidence to approach the Brewster angle occupy only a small portion of the directional distribution; contributions from the rest of the distribution become appreciable in this new treatment.
- 10. Smooth surface Rougher surface slope accounted No slope accounted Data: DeRoo, R.D., and F.T. Ulaby, “Bistatic Specular Scattering from Rough Dielectric Surfaces,” IEEE Transactions on Antennas and Propagation, Vol. 42, No. 2, 1994, pp. 1743–1755. Added by KSC
- 11. The Statistical IEM Model Development of the statistical IEM (SIEM) model is motivated by the observation that slope statistics has appreciable impact on the Kirchhoff approximation, which forms the Kirchhoff part of the IEM formalism, and by the intuition that incorporating shadow effect directly into field rather than scattered power may provide more physical results. Details of the SIEM model can be found in [3]. [3] Y. Du, J. A. Kong, Z. Y. Wang, W. Z. Yan, and L. Peng, “A statistical integral equation model for shadow-corrected EM scattering from a Gaussian rough surface,” IEEE Trans. Antennas and Propagation , vol. 55, no. 6, pp. 1843-1855, June 2007.
- 12. Testing Cases of SIEM
- 13. SIEM – Simulation I
- 18. Spectral form of Green’s function Added by KSC @ksc 2003 Propagator in upper and lower medium, respectively Upward, downward
- 19. An Illustrative Computation to Show the Inclusion of the Error Function I is the Heavyside function, . Transformation of variables leads to the factorization where
- 20. An Illustrative Computation to Show the Inclusion of the Error Function II can be readily obtained as while where erf is the error function defined as
- 24. EAIEM Simulation I Macelloni, G., Nesti, G., Pampaloni, P., Sigismondi, S., Tarchi, D. and Lolli, S., 2000, Experimental validation of surface scattering and emission models. IEEE Transactions on Geoscience and Remote Sensing, 38, 459–469.