❶ Capture total energy of relevant mode (Mechanical, Electrostatic, Dissipation)
❷ Krylov/Arnoldi methods to generate Lagrangian formulation
❸ Create Compact model for system modeling
This document presents a methodology for mapping multidimensional transforms onto reconfigurable architectures like FPGAs. The methodology uses tensor product decompositions and permutation matrices to express transforms recursively in terms of lower-order blocks. This allows large transforms to be computed by combining many parallel, smaller transform blocks. Specific examples are given for mapping one-dimensional linear convolution and discrete cosine transforms. The overall goal is to provide a unified framework and design process for implementing multidimensional transforms in a modular, parallel architecture.
Target environments for this software include applications that require large memory footprints, multiple processors and shared memory. Typical end-user applications are in the areas of energy, manufacturing, life sciences, computational structural mechanics, computational fluid dynamics, and finance. The software aims to simplify cluster complexities for applications that use significant computing resources.
This document discusses the optimal design of CMOS operational amplifiers (op-amps) using geometric programming. It begins by introducing CMOS op-amps and the goal of sizing transistors to meet performance specifications while minimizing area and power. The problem is formulated as a convex optimization that can be solved efficiently. Numerical experiments show the approach finds the globally optimal solution. The accuracy of performance predictions is verified against circuit simulations. Finally, the document provides background on geometric programming and defines the standard form of a geometric program that is used to solve the CMOS op-amp sizing problem.
This document discusses modeling techniques for passive interconnects based on reflectometer measurements. It presents several models of increasing complexity, from lumped LC to distributed lossy transmission line models. Measurement-based behavioral models using scattering parameters extracted from time-domain reflectometry data are proposed. Examples of modeling a coaxial cable and backplane connector using this approach are given. Good agreement is shown between models and actual reflectometer measurements, allowing accurate simulation of signal propagation effects.
This document discusses system-on-chip design using UML profiles. It covers trends towards modeling at higher levels of abstraction, profiles for embedded systems like SysML and MARTE, and UML profiles for electronic system level and system-on-chip design that allow generating SystemC code. Stereotypes are shown for structural, communication, and operation/property modeling in system-on-chip design.
This document discusses matrix inversion techniques for MIMO wireless communication systems. It begins by introducing how matrix inversion is used in algorithms for MIMO systems and standards like 802.11n. Existing matrix inversion approaches cannot achieve the performance needed for real-time 802.11n systems. The document then presents a new matrix inversion algorithm based on modified squared Givens rotations (MSGR) that enables real-time implementation with high throughput and low latency. This algorithm overcomes limitations of other QR decomposition techniques. Finally, the document evaluates this algorithm integrated into a MIMO receiver and demonstrates it can support the requirements of modern wireless standards like 802.11n.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Lifting Scheme Cores for Wavelet TransformDavid Bařina
The document presents research on improving the performance of wavelet transforms through lifting scheme cores. It introduces a lifting core as a processing unit that can continuously consume input and produce output while visiting each sample once in a cache-friendly manner. It discusses how lifting cores can handle borders, be configured for different processing orders, and allow reorganization of the underlying scheme for better parallelization and vectorization. The thesis aims to address shortcomings of prior methods through experimental evaluation of lifting cores on CPUs, GPUs, and FPGAs for 2D and 3D transforms as well as JPEG 2000 compression.
This document presents a methodology for mapping multidimensional transforms onto reconfigurable architectures like FPGAs. The methodology uses tensor product decompositions and permutation matrices to express transforms recursively in terms of lower-order blocks. This allows large transforms to be computed by combining many parallel, smaller transform blocks. Specific examples are given for mapping one-dimensional linear convolution and discrete cosine transforms. The overall goal is to provide a unified framework and design process for implementing multidimensional transforms in a modular, parallel architecture.
Target environments for this software include applications that require large memory footprints, multiple processors and shared memory. Typical end-user applications are in the areas of energy, manufacturing, life sciences, computational structural mechanics, computational fluid dynamics, and finance. The software aims to simplify cluster complexities for applications that use significant computing resources.
This document discusses the optimal design of CMOS operational amplifiers (op-amps) using geometric programming. It begins by introducing CMOS op-amps and the goal of sizing transistors to meet performance specifications while minimizing area and power. The problem is formulated as a convex optimization that can be solved efficiently. Numerical experiments show the approach finds the globally optimal solution. The accuracy of performance predictions is verified against circuit simulations. Finally, the document provides background on geometric programming and defines the standard form of a geometric program that is used to solve the CMOS op-amp sizing problem.
This document discusses modeling techniques for passive interconnects based on reflectometer measurements. It presents several models of increasing complexity, from lumped LC to distributed lossy transmission line models. Measurement-based behavioral models using scattering parameters extracted from time-domain reflectometry data are proposed. Examples of modeling a coaxial cable and backplane connector using this approach are given. Good agreement is shown between models and actual reflectometer measurements, allowing accurate simulation of signal propagation effects.
This document discusses system-on-chip design using UML profiles. It covers trends towards modeling at higher levels of abstraction, profiles for embedded systems like SysML and MARTE, and UML profiles for electronic system level and system-on-chip design that allow generating SystemC code. Stereotypes are shown for structural, communication, and operation/property modeling in system-on-chip design.
This document discusses matrix inversion techniques for MIMO wireless communication systems. It begins by introducing how matrix inversion is used in algorithms for MIMO systems and standards like 802.11n. Existing matrix inversion approaches cannot achieve the performance needed for real-time 802.11n systems. The document then presents a new matrix inversion algorithm based on modified squared Givens rotations (MSGR) that enables real-time implementation with high throughput and low latency. This algorithm overcomes limitations of other QR decomposition techniques. Finally, the document evaluates this algorithm integrated into a MIMO receiver and demonstrates it can support the requirements of modern wireless standards like 802.11n.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Lifting Scheme Cores for Wavelet TransformDavid Bařina
The document presents research on improving the performance of wavelet transforms through lifting scheme cores. It introduces a lifting core as a processing unit that can continuously consume input and produce output while visiting each sample once in a cache-friendly manner. It discusses how lifting cores can handle borders, be configured for different processing orders, and allow reorganization of the underlying scheme for better parallelization and vectorization. The thesis aims to address shortcomings of prior methods through experimental evaluation of lifting cores on CPUs, GPUs, and FPGAs for 2D and 3D transforms as well as JPEG 2000 compression.
TUKE MediaEval 2012: Spoken Web Search using DTW and Unsupervised SVMMediaEval2012
This document describes a spoken web search system that uses dynamic time warping (DTW) and an unsupervised support vector machine (SVM). It consists of 3 sections:
1) System architecture - outlines the segmentation, feature extraction, SVM method, and searching algorithm components of the system.
2) Experimental results - provides results from testing the system but no details.
3) Conclusion - the concluding remarks for the system but no specifics are given.
Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gr...CSCJournals
In this paper, we propose an invisible blind watermarking scheme for the gray-level images. The cover image is decomposed using the Discrete Wavelet Transform with Biorthogonal wavelet filters and the watermark is embedded into significant coefficients of the transformation. The Biorthogonal wavelet is used because it has the property of perfect reconstruction and smoothness. The proposed scheme embeds a monochrome watermark into a gray-level image. In the embedding process, we use a localized decomposition, means that the second level decomposition is performed on the detail sub-band resulting from the first level decomposition. The image is decomposed into first level and for second level decomposition we consider Horizontal, vertical and diagonal subband separately. From this second level decomposition we take the respective Horizontal, vertical and diagonal coefficients for embedding the watermark. The robustness of the scheme is tested by considering the different types of image processing attacks like blurring, cropping, sharpening, Gaussian filtering and salt and pepper noise effect. The experimental result shows that the embedding watermark into diagonal subband coefficients is robust against different types of attacks.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document compares two approaches for seismic damage assessment: instrumental intensity and damage index. Instrumental intensity provides concise damage assessments that generally agree with actual recorded damage, but does not differentiate well based on structure type or seismic code. The damage index approach allows evaluation of actual or required structural overstrength given the seismic design level, though it requires specifying overstrength and ductility in the direct approach. Both provide useful information, but each approach has limitations that the other complement.
- Structural modeling describes circuits using physical circuit elements like resistors, capacitors, and transistors based on their actual physical structure. Functional modeling describes circuits using any linear or nonlinear elements through their input-output behavior.
- Hierarchical simulation allows modeling complex circuits at high levels using simpler representations of subcircuit blocks. Ideal switches are implemented to allow circuit connections to change during simulation.
- Analog behavioral modeling uses controlled sources to describe circuit behavior through mathematical functions rather than detailed component models, improving simulation speed. Transfer functions can be defined through expressions, lookup tables, or Laplace transforms.
This document describes a Matlab-based approach for teaching students how to solve two-stub transmission line problems using the Smith chart. It presents the problem of finding the shortest stub lengths to achieve no reflection from a load. It then outlines the traditional Smith chart solution process and describes how Matlab scripts can implement each step as a modular function. This allows students to better understand the Smith chart as a step-by-step process. The document provides an example problem and describes the specific Matlab scripts used to implement each solution step. Survey responses from students indicated this approach helped make the challenging subject matter easier to comprehend.
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.
EFFICIENT IMAGE COMPRESSION USING LAPLACIAN PYRAMIDAL FILTERS FOR EDGE IMAGESijcnac
This project presents a new image compression technique for the coding of retinal and
fingerprint images. Retinal images are used to detect diseases like diabetes or
hypertension. Fingerprint images are used for the security purpose. In this work, the
contourlet transform of the retinal and fingerprint image is taken first. The coefficients of
the contourlet transform are quantized using adaptive multistage vector quantization
scheme. The number of code vectors in the adaptive vector quantization scheme depends
on the dynamic range of the input image.
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
This document summarizes an article that proposes adaptive error concealment algorithms for 3D multi-view video transmitted over noisy channels. It proposes adaptive algorithms for intra-frames and inter-frames that adapt to the motion characteristics and error patterns. For intra-frames, it proposes adaptive time domain, space domain, and hybrid algorithms. For inter-frames, it proposes adaptive inter-view, time domain, and joint time and inter-view algorithms. The algorithms aim to improve video quality by exploiting correlations between frames, views, and domains. Simulation results showed the adaptive algorithms can significantly improve objective and subjective video quality compared to previous methods.
Dynamic Texture Coding using Modified Haar Wavelet with CUDAIJERA Editor
Texture is an image having repetition of patterns. There are two types, static and dynamic texture. Static texture is an image having repetitions of patterns in the spatial domain. Dynamic texture is number of frames having repetitions in spatial and temporal domain. This paper introduces a novel method for dynamic texture coding to achieve higher compression ratio of dynamic texture using 2D-modified Haar wavelet transform. The dynamic texture video contains high redundant parts in spatial and temporal domain. Redundant parts can be removed to achieve high compression ratios with better visual quality. The modified Haar wavelet is used to exploit spatial and temporal correlations amongst the pixels. The YCbCr color model is used to exploit chromatic components as HVS is less sensitive to chrominance. To decrease the time complexity of algorithm parallel programming is done using CUDA (Compute Unified Device Architecture). GPU contains the number of cores as compared to CPU, which is utilized to reduce the time complexity of algorithms.
The document proposes the Layered Spiral Algorithm (LSA) for memory-aware application mapping and scheduling onto Network-on-Chip (NoC) architectures. LSA extends the existing spiral mapping algorithm to consider memory constraints and task scheduling. It models applications as Memory-Aware Communication Task Graphs (MACTG) and platforms as Platform Architecture Graphs (PAG). LSA aims to minimize energy consumption during mapping and scheduling while maintaining high parallelism. It compares results to optimal solutions from an Mixed Integer Linear Programming (MILP) formulation to evaluate performance.
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATIONVLSICS Design
A two dimensional numerical model of an optically gated GaAs MESFET with non uniform channel doping has been developed. This is done to characterize the device as a photo detector. First photo induced voltage (Vop) at the Schottky gate is calculated for estimating the channel profile. Then Poisson’s equation for the device is solved numerically under dark and illumination condition. The paper aims at developing the MESFET 2-D model under illumination using Monte Carlo Finite Difference method. The results discuss about the optical potential developed in the device, variation of channel potential under different biasing and illumination and also about electric fields along X and Y directions. The Cgs under different illumination is also calculated. It has been observed from the results that the characteristics of the device are strongly influenced by the incident optical illumination.
This document presents a new adaptive algorithm for an adaptive decision feedback equalizer (ADFE) that has lower computational complexity than existing algorithms. The proposed block-based normalized least mean square (BBNLMS) algorithm with set-membership filtering for the ADFE achieves similar bit error rate performance and convergence speed as conventional algorithms like set-membership normalized least mean square (SM-NLMS), but with significantly fewer computations. Simulation results show the new algorithm provides comparable equalization performance to SM-NLMS while realizing about a 70% reduction in computational operations, especially at high signal-to-noise ratios, making it suitable for high-speed decision feedback equalization applications.
This document proposes symmetric downlink permutation schemes for OFDMA PHY that are analogous to the uplink PUSC permutation schemes currently defined. Such symmetric schemes would enable optimal adaptive beamforming by pairing uplink and downlink allocations, while maintaining the frequency diversity and cell-based structure of PUSC. The proposal analyzes how both frequency diversity and spatial diversity from antenna arrays affect performance, finding that frequency diversity can significantly reduce the required fade margin even in the presence of spatial diversity. Detailed changes to the IEEE 802.16 standard are provided to define the new downlink permutation schemes.
A Novel Algorithm for Watermarking and Image Encryption cscpconf
Digital watermarking is a method of copyright protection of audio, images, video and text. We
propose a new robust watermarking technique based on contourlet transform and singular value
decomposition. The paper also proposes a novel encryption algorithm to store a signed double
matrix as an RGB image. The entropy of the watermarked image and correlation coefficient of
extracted watermark image is very close to ideal values, proving the correctness of proposed
algorithm. Also experimental results show resiliency of the scheme against large blurring attack
like mean and gaussian filtering, linear filtering (high pass and low pass filtering) , non-linear
filtering (median filtering), addition of a constant offset to the pixel values and local exchange of pixels .Thus proving the security, effectiveness and robustness of the proposed watermarking algorithm.
IntelliSuite 8.5 introduces new tools for MEMS professionals including Clean Room for 3D process simulation and visualization, improved 3D Builder with one-click all-hex meshing, RECIPE 3D for 3D etch simulation including RIE/ICP/Bosch processes, and a modernized interface.
IntelliSuite is a software product from IntelliSense Software Corporation that provides a complete design environment for MEMS professionals to design, develop, and manufacture microelectromechanical systems (MEMS). It offers integrated CAD tools, simulation software, and solutions to manage MEMS products throughout their life cycle from concept to production. IntelliSuite is used worldwide and has become the industry standard tool for MEMS design and manufacturing.
IntelliSuite v8.5 is a software tool for MEMS design that provides process visualization, etch modeling, expert layout, robust meshing, and schematic-based design. It offers advanced multiphysics simulation capabilities and directly integrates with electronic design automation tools from major vendors like Cadence, Mentor Graphics, Synopsys, and Tanner Research. The software aims to help shorten the time between conceptualizing a MEMS device and bringing it to market.
IntelliEtch is a validated atomistic etch simulator that provides fast, detailed simulations of etching processes in 5-30 minutes. It uses a first principles approach and experimental backing to model effects like steric interaction and impurity micromasking. Simulation results can be exported to FEA tools. The simulator also handles composite processing and has an experimentally validated database developed from Dr. Sato's work.
The document describes IntelliSuite's integrated MEMS design flow, which allows users to model devices from the schematic level through physical layout and verification, as well as simulate multi-physics processes. IntelliSuite combines top-down and bottom-up design approaches for efficient and accurate modeling. Key capabilities include schematic capture, physical layout, process simulation, and system-level modeling extraction for fast behavioral simulation.
IntelliSuite is a complete design environment for MEMS that provides tools across the entire product development cycle. It includes schematic capture tool Synple, physical design tool Blueprint, process design tools CleanRoom, and multiphysics solvers FastField. IntelliSuite aims to link the entire MEMS organization through a unified platform. It offers a seamless flow from concept to tapeout through integrated tools for simulation, layout, verification, and more. IntelliSuite has established itself as the standard industry tool used by MEMS professionals worldwide.
TUKE MediaEval 2012: Spoken Web Search using DTW and Unsupervised SVMMediaEval2012
This document describes a spoken web search system that uses dynamic time warping (DTW) and an unsupervised support vector machine (SVM). It consists of 3 sections:
1) System architecture - outlines the segmentation, feature extraction, SVM method, and searching algorithm components of the system.
2) Experimental results - provides results from testing the system but no details.
3) Conclusion - the concluding remarks for the system but no specifics are given.
Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gr...CSCJournals
In this paper, we propose an invisible blind watermarking scheme for the gray-level images. The cover image is decomposed using the Discrete Wavelet Transform with Biorthogonal wavelet filters and the watermark is embedded into significant coefficients of the transformation. The Biorthogonal wavelet is used because it has the property of perfect reconstruction and smoothness. The proposed scheme embeds a monochrome watermark into a gray-level image. In the embedding process, we use a localized decomposition, means that the second level decomposition is performed on the detail sub-band resulting from the first level decomposition. The image is decomposed into first level and for second level decomposition we consider Horizontal, vertical and diagonal subband separately. From this second level decomposition we take the respective Horizontal, vertical and diagonal coefficients for embedding the watermark. The robustness of the scheme is tested by considering the different types of image processing attacks like blurring, cropping, sharpening, Gaussian filtering and salt and pepper noise effect. The experimental result shows that the embedding watermark into diagonal subband coefficients is robust against different types of attacks.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document compares two approaches for seismic damage assessment: instrumental intensity and damage index. Instrumental intensity provides concise damage assessments that generally agree with actual recorded damage, but does not differentiate well based on structure type or seismic code. The damage index approach allows evaluation of actual or required structural overstrength given the seismic design level, though it requires specifying overstrength and ductility in the direct approach. Both provide useful information, but each approach has limitations that the other complement.
- Structural modeling describes circuits using physical circuit elements like resistors, capacitors, and transistors based on their actual physical structure. Functional modeling describes circuits using any linear or nonlinear elements through their input-output behavior.
- Hierarchical simulation allows modeling complex circuits at high levels using simpler representations of subcircuit blocks. Ideal switches are implemented to allow circuit connections to change during simulation.
- Analog behavioral modeling uses controlled sources to describe circuit behavior through mathematical functions rather than detailed component models, improving simulation speed. Transfer functions can be defined through expressions, lookup tables, or Laplace transforms.
This document describes a Matlab-based approach for teaching students how to solve two-stub transmission line problems using the Smith chart. It presents the problem of finding the shortest stub lengths to achieve no reflection from a load. It then outlines the traditional Smith chart solution process and describes how Matlab scripts can implement each step as a modular function. This allows students to better understand the Smith chart as a step-by-step process. The document provides an example problem and describes the specific Matlab scripts used to implement each solution step. Survey responses from students indicated this approach helped make the challenging subject matter easier to comprehend.
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.
EFFICIENT IMAGE COMPRESSION USING LAPLACIAN PYRAMIDAL FILTERS FOR EDGE IMAGESijcnac
This project presents a new image compression technique for the coding of retinal and
fingerprint images. Retinal images are used to detect diseases like diabetes or
hypertension. Fingerprint images are used for the security purpose. In this work, the
contourlet transform of the retinal and fingerprint image is taken first. The coefficients of
the contourlet transform are quantized using adaptive multistage vector quantization
scheme. The number of code vectors in the adaptive vector quantization scheme depends
on the dynamic range of the input image.
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
This document summarizes an article that proposes adaptive error concealment algorithms for 3D multi-view video transmitted over noisy channels. It proposes adaptive algorithms for intra-frames and inter-frames that adapt to the motion characteristics and error patterns. For intra-frames, it proposes adaptive time domain, space domain, and hybrid algorithms. For inter-frames, it proposes adaptive inter-view, time domain, and joint time and inter-view algorithms. The algorithms aim to improve video quality by exploiting correlations between frames, views, and domains. Simulation results showed the adaptive algorithms can significantly improve objective and subjective video quality compared to previous methods.
Dynamic Texture Coding using Modified Haar Wavelet with CUDAIJERA Editor
Texture is an image having repetition of patterns. There are two types, static and dynamic texture. Static texture is an image having repetitions of patterns in the spatial domain. Dynamic texture is number of frames having repetitions in spatial and temporal domain. This paper introduces a novel method for dynamic texture coding to achieve higher compression ratio of dynamic texture using 2D-modified Haar wavelet transform. The dynamic texture video contains high redundant parts in spatial and temporal domain. Redundant parts can be removed to achieve high compression ratios with better visual quality. The modified Haar wavelet is used to exploit spatial and temporal correlations amongst the pixels. The YCbCr color model is used to exploit chromatic components as HVS is less sensitive to chrominance. To decrease the time complexity of algorithm parallel programming is done using CUDA (Compute Unified Device Architecture). GPU contains the number of cores as compared to CPU, which is utilized to reduce the time complexity of algorithms.
The document proposes the Layered Spiral Algorithm (LSA) for memory-aware application mapping and scheduling onto Network-on-Chip (NoC) architectures. LSA extends the existing spiral mapping algorithm to consider memory constraints and task scheduling. It models applications as Memory-Aware Communication Task Graphs (MACTG) and platforms as Platform Architecture Graphs (PAG). LSA aims to minimize energy consumption during mapping and scheduling while maintaining high parallelism. It compares results to optimal solutions from an Mixed Integer Linear Programming (MILP) formulation to evaluate performance.
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATIONVLSICS Design
A two dimensional numerical model of an optically gated GaAs MESFET with non uniform channel doping has been developed. This is done to characterize the device as a photo detector. First photo induced voltage (Vop) at the Schottky gate is calculated for estimating the channel profile. Then Poisson’s equation for the device is solved numerically under dark and illumination condition. The paper aims at developing the MESFET 2-D model under illumination using Monte Carlo Finite Difference method. The results discuss about the optical potential developed in the device, variation of channel potential under different biasing and illumination and also about electric fields along X and Y directions. The Cgs under different illumination is also calculated. It has been observed from the results that the characteristics of the device are strongly influenced by the incident optical illumination.
This document presents a new adaptive algorithm for an adaptive decision feedback equalizer (ADFE) that has lower computational complexity than existing algorithms. The proposed block-based normalized least mean square (BBNLMS) algorithm with set-membership filtering for the ADFE achieves similar bit error rate performance and convergence speed as conventional algorithms like set-membership normalized least mean square (SM-NLMS), but with significantly fewer computations. Simulation results show the new algorithm provides comparable equalization performance to SM-NLMS while realizing about a 70% reduction in computational operations, especially at high signal-to-noise ratios, making it suitable for high-speed decision feedback equalization applications.
This document proposes symmetric downlink permutation schemes for OFDMA PHY that are analogous to the uplink PUSC permutation schemes currently defined. Such symmetric schemes would enable optimal adaptive beamforming by pairing uplink and downlink allocations, while maintaining the frequency diversity and cell-based structure of PUSC. The proposal analyzes how both frequency diversity and spatial diversity from antenna arrays affect performance, finding that frequency diversity can significantly reduce the required fade margin even in the presence of spatial diversity. Detailed changes to the IEEE 802.16 standard are provided to define the new downlink permutation schemes.
A Novel Algorithm for Watermarking and Image Encryption cscpconf
Digital watermarking is a method of copyright protection of audio, images, video and text. We
propose a new robust watermarking technique based on contourlet transform and singular value
decomposition. The paper also proposes a novel encryption algorithm to store a signed double
matrix as an RGB image. The entropy of the watermarked image and correlation coefficient of
extracted watermark image is very close to ideal values, proving the correctness of proposed
algorithm. Also experimental results show resiliency of the scheme against large blurring attack
like mean and gaussian filtering, linear filtering (high pass and low pass filtering) , non-linear
filtering (median filtering), addition of a constant offset to the pixel values and local exchange of pixels .Thus proving the security, effectiveness and robustness of the proposed watermarking algorithm.
IntelliSuite 8.5 introduces new tools for MEMS professionals including Clean Room for 3D process simulation and visualization, improved 3D Builder with one-click all-hex meshing, RECIPE 3D for 3D etch simulation including RIE/ICP/Bosch processes, and a modernized interface.
IntelliSuite is a software product from IntelliSense Software Corporation that provides a complete design environment for MEMS professionals to design, develop, and manufacture microelectromechanical systems (MEMS). It offers integrated CAD tools, simulation software, and solutions to manage MEMS products throughout their life cycle from concept to production. IntelliSuite is used worldwide and has become the industry standard tool for MEMS design and manufacturing.
IntelliSuite v8.5 is a software tool for MEMS design that provides process visualization, etch modeling, expert layout, robust meshing, and schematic-based design. It offers advanced multiphysics simulation capabilities and directly integrates with electronic design automation tools from major vendors like Cadence, Mentor Graphics, Synopsys, and Tanner Research. The software aims to help shorten the time between conceptualizing a MEMS device and bringing it to market.
IntelliEtch is a validated atomistic etch simulator that provides fast, detailed simulations of etching processes in 5-30 minutes. It uses a first principles approach and experimental backing to model effects like steric interaction and impurity micromasking. Simulation results can be exported to FEA tools. The simulator also handles composite processing and has an experimentally validated database developed from Dr. Sato's work.
The document describes IntelliSuite's integrated MEMS design flow, which allows users to model devices from the schematic level through physical layout and verification, as well as simulate multi-physics processes. IntelliSuite combines top-down and bottom-up design approaches for efficient and accurate modeling. Key capabilities include schematic capture, physical layout, process simulation, and system-level modeling extraction for fast behavioral simulation.
IntelliSuite is a complete design environment for MEMS that provides tools across the entire product development cycle. It includes schematic capture tool Synple, physical design tool Blueprint, process design tools CleanRoom, and multiphysics solvers FastField. IntelliSuite aims to link the entire MEMS organization through a unified platform. It offers a seamless flow from concept to tapeout through integrated tools for simulation, layout, verification, and more. IntelliSuite has established itself as the standard industry tool used by MEMS professionals worldwide.
This document discusses a designer who created 4 different designs. The designer first created an initial design, then made revisions to improve it. Additional modifications were then made before a final 4th design was completed.
Microfluidics can be used for heat transport, transmitting forces, creating forces, transporting materials, and reacting materials. There are two approaches to modeling fluids at the microscale - continuum models which work when quantities are large compared to molecular scales, and molecular models which must be used at smaller scales. A variety of microfluidic applications are possible including lab-on-a-chip devices, micropumps, micromixers, and more. Modeling of these systems can be done using computational fluid dynamics approaches like the Navier-Stokes equations to model things like electrokinetics, electroosmosis, electrophoresis, and more.
4 - Simulation and analysis of different DCT techniques on MATLAB (presented ...Youness Lahdili
This document discusses and compares different algorithms for implementing the Discrete Cosine Transform (DCT) in MATLAB. It first provides background on DCT and its importance in video compression. It then simulates and analyzes 4 DCT techniques: Chen form, Loeffler form, an 8x8 basic pattern form, and MATLAB's built-in dct2 function. For each, it measures performance metrics like MSE, PSNR, and speed. It finds that the Chen form has the fastest execution time and lowest MSE. While the basic pattern form may be improved, the built-in dct2 is the slowest. The document concludes DCT optimization is still needed and describes algorithms that could further improve speed without affecting output quality.
4 - Simulation and analysis of different DCT techniques on MATLAB (presented ...Youness Lahdili
This document summarizes a student project that simulated and analyzed different discrete cosine transform (DCT) techniques for image compression in MATLAB. The objectives were to implement 1D-DCT computing using different methods like Chen's algorithm and Loeffler's algorithm. The student tested the different DCT implementations and compared their performance in terms of speed and mean squared error. The results showed that the DCT technique designed was feasible in MATLAB and could potentially be optimized and ported to FPGA for applications like image and video compression.
Close encounters in MDD: when Models meet Codelbergmans
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Close Encounters in MDD: when models meet codelbergmans
“Close encounters in MDD: when Models meet Code”
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
CST STUDIO SUITE 2011 is a software that provides electromagnetic and circuit simulation tools. It includes solvers for microwave, static electric and magnetic, particle, cable, printed circuit board, thermal, and mechanical analysis. The suite has a common interface that facilitates multi-physics simulations and co-simulation of electromagnetic and circuit models.
Moldex3D, Structural Analysis, and HyperStudy Integrated in HyperWorks Platfo...Altair
In recent years, with the increasing variety, complexity, and precision requirement on plastic products, CAE tools have been widely used for solving product design and manufacturing issues. The structural designs or molding process parameters for products can be optimized efficiently through CAE analyses. Plus the reliable and correct verification with experiments, the directions or guidance in designs or process condition settings can be provided prior to the real moldings. However, sometimes it is not efficient to find an optimized set of parameters through traditional CAE analyses. A novel integration between Moldex3D and HyperStudy allows for more quick and efficient parameter optimization which will save time, increase product quality, and increase productivity.
Also, traditional CAE analyses do not consider the molding properties influence on structural analysis, such as material property variations caused by fiber orientation and residual stresses. Accordingly, an integrated technology is proposed to bridge molding and structural analysis. Through the integration of Moldex3D and structural analysis in HyperWorks platform, the important effects from molding process can be transferred to structural analysis for more accurate and realistic predictions of the product behaviors. This integration provides a virtual product development platform for users to increase profits as well as enhance productivity.
This document summarizes a technique called CADU (collaborative adaptive down-sampling and upconversion) to improve image compression at low bit rates. The technique adaptively decreases high frequency information by directionally prefiltering an image before uniform downsampling. This allows the downsampled image to be conventionally compressed while avoiding aliasing artifacts. At the decoder, the low-resolution image is decompressed and then upconverted to the original resolution using constrained least squares restoration with an autoregressive model. Experimental results show CADU outperforms JPEG2000 in PSNR and visual quality at low to medium bit rates. The technique suggests oversampling wastes resources and could hurt quality given tight bit budgets.
Gene's law, Common gate, kernel Principal Component Analysis, ASIC Physical Design Post-Layout Verification, TSMC180nm, 0.13um IBM CMOS technology, Cadence Virtuoso, FPAA, in Spanish, Bruun E,
Genetic Algorithms and Genetic Programming for Multiscale Modelingkknsastry
Effective and efficient multiscale modeling is essential to advance both the science and synthesis in a wide array of fields such as physics, chemistry, materials science, biology, biotechnology and pharmacology. This study investigates the efficacy and potential of using genetic algorithms for multiscale materials modeling and
addresses some of the challenges involved in designing competent algorithms that solve hard problems quickly, reliably
and accurately.
The document discusses FunctionalDMU, a framework for simulating the behavior of mechatronic systems directly within digital mockups (DMUs). It aims to integrate heterogeneous behavior models from different domains and tools through a co-simulation approach. Wrappers adapt the native behavior models for communication, while a master simulator coordinates the simulation. This allows behavior models to be simulated alongside 3D geometry without data conversion. The framework has been applied to examples like simulating the thermal effects of an electric motor's electronics. Benefits include earlier detection of multi-domain issues and integrated visualization of functional and geometric aspects of mechatronic designs.
FPGA Based Design of High Performance Decimator using DALUT AlgorithmIDES Editor
This paper presents a multiplier less approach
to implement high speed and area efficient decimator for
down converter of Software Defined Radios. This
technique substitutes multiply-and-accumulate (MAC)
operations with look up table (LUT) accesses. Proposed
decimator has been implemented using Partitioned
distributed arithmetic look up table (DALUT) algorithm
by taking optimal advantage of embedded LUTs of target
FPGA device. This method is useful to enhance the system
performance in terms of speed and area. The proposed
decimator has used half band polyphase decomposition
FIR structure. The decimator has been designed with
Matlab 7.6, simulated with Modelsim 6.3XE simulator,
synthesized with Xilinx Synthesis Tool (XST) 10.1 and
implemented on Spartan-3E based 3s500efg320-4 FPGA
device. The proposed DALUT approach has shown an
improvement of 24% in speed by saving almost 50%
resources of target device as compared to MAC based
approach.
This document provides an overview of computational fluid dynamics (CFD) modeling and simulation using commercial CFD software. It discusses the key steps in the CFD process including defining the geometry, governing equations, boundary conditions, meshing, solving the equations numerically, and post-processing the results. Examples of applications in aerospace, automotive, and other industries are given. The document also summarizes some of the main features and capabilities of the Fluent CFD software.
Approximate Dynamic Programming using Fluid and Diffusion Approximations with...dayuhuang
My presentation at CDC 2009.
Authors of the paper are:
Wei Chen, Dayu Huang, Ankur Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant Mehta, Sean Meyn, and Adam Wierman
Modeling and Simulation of an Active Disturbance Rejection Controller Based o...IJRES Journal
1) The document describes the modeling and simulation of an Active Disturbance Rejection Controller (ADRC) using MATLAB/Simulink.
2) The author establishes a user-defined ADRC block library in Simulink through subsystem packaging and M-function files to define nonlinear functions. This makes the ADRC model graphic and parameters easy to modify.
3) The key components of ADRC - Tracking Differentiator, Extended State Observer, and Nonlinear State Error Feedback - are modeled as subsystems and packaged into a new library.
4) The performance of the ADRC model is demonstrated through simulations of a sample system with disturbances. The simulations show the ADRC can estimate and compensate for disturbances in
This document provides an overview of simulation software for modeling multibody systems. It discusses different modeling approaches, such as using Cartesian or relative coordinates, and different solution methods in dynamics simulation, including Lagrange multipliers and velocity transformations. Examples of computer implementation for kinematics and dynamics simulation are presented. The document also briefly discusses using web technologies for simulation and collaboration.
BARRACUDA, AN OPEN SOURCE FRAMEWORK FOR PARALLELIZING DIVIDE AND CONQUER ALGO...IJCI JOURNAL
This paper presents a newly-created Barracuda open-source framework which aims to parallelize Java divide and conquer applications. This framework exploits implicit for-loop parallelism in dividing and merging operations. So, this makes it a mixture of parallel for-loop and task parallelism. It targets sharedmemory multiprocessors and hybrid distributed shared-memory architectures. We highlight the effectiveness of the framework and focus on the performance gain and programming effort by using this framework. Barracuda aims at large public actors as well as various application domains. In terms of performance achievement, it is very close to Fork/Join framework while allowing end-users to only focus on refactoring code and experts to have the opportunity to improve it.
Optimization of Electrical Machines in the Cloud with SyMSpace by LCMcloudSME
Presented at NAFEMS DACH regional conference for numerical simulation methods by LCM and cloudSME in Wiesbaden on the 14th of November 2019.
The Linz Center of Mechatronics GmbH showcased how they easily optimize electrical drive engines in the cloud.
We supported LCM to work out the right cloud-based service solutions for their customers based on their existing software. By respecting the latest developments in the industry and science, including security and privacy compliance and hosting flexibility (free choice of data centre, no vendor lock-in).
Check out their cool System Model Space "SyMSpace" for electrical drive engines and trusted by industrial partners! (https://bit.ly/2CKGphb) #poweredbycloudSME
Yes, Cloud Computing is offering a broad range of actions and can be confusing. You want to dig deeper?
Write us an email or give us a call so that we can work out how to approach the perfect cloud solution for your needs.
2. What is extraction?
Simplifying a full 3D model into behavioral model
Convert FEA/BEA model (large DOFs) into computationally efficient model
Develop pre-computed energy based model that captures multiphysics
What is extracted ?
Mechanical Strain Energy of Modes of Interest (Including stress and stress gradient effects)
Capacitive energy
Thermal effects (deformation due to temperature change)
Fluidic Structure Interaction (due to compressive or non-compressive media)
Other dissipation sources (thermoelastic damping (v8.6.1) and anchor acoustic losses (v8.6.2))
3. System Model Extraction (SME)
Capture strain energy Capture electrostatic energy Capture fluid damping
associated with each mode associated with each mode characteristics
Arnoldi/Krylov
First mode sub-space Compact
reduction Representation
HDL
HDL formulation
Second mode
Hardware
N-DOF behavioral model Description
based on Lagrangian
formulation
d # "L & "L
% () =0
dt % "q j ( "q j
$ '
Third mode
!
❶ Capture total energy of relevant mode ❷ Krylov/Arnoldi methods to ❸ Create Compact model for
(Mechanical, Electrostatic, Dissipation) generate Lagrangian formulation system modeling
4. System model extraction (SME) flow chart
/ SPICE OR OTHER EDA TOOL
Summary: Convert problem from Newtonian (inertia based) to more efficient Lagrangian domain (energy based)
5. SME advantages
• Automated full • 3D MEMS system
multi-physics simulation
capture
• Device and package
• 1000 X faster than level extraction
pure FEA
• Automated VHDL/
• Matches FEA to Verilog/ SPICE
within 1% accuracy generation
• Fully capture
harmonic responses
6. EDA Linker capabilities (compatibility)
Create accurate N-DOF dynamic system model
from MEMS FEA/BEA model
Output system model into SPICE, HDL, and
Simulink formats
Compatible with EDA tools from Cadence,
Mathworks, Mentor, Synopsys and Tanner
Integrated CMOS-MEMS (SoC/SiP) compatibility
7. Integrated design flow for MEMS + IC
Device/System Design Exploration
1 Design of Experiments
(SYNPLE/IntelliSuite)
Final MEMS Device design
2
(Multiphysics)
MEMS-CMOS integration
N-DOF Lagrangian design flow can be based on :
3 System Model Extraction
(IntelliSuite) √ VHDL-AMS
√ Verilog-A
Transistor level design √ SPICE netlist
4 (SPICE/SYNPLE or other EDA tools)
√ Matlab/Simulink .MEX
Gate level
5 Place and route, DRC, LVS
(Cadence/Synopsys/Mentor/ViewLogic/Tanner etc)
6
Final Layout
(IntelliMask Pro/ L-Edit/ Virtuoso/other)
8. What is verification?
Model verification (Schematic vs 3D)
Verify schematic model and 3D model match
Ensure MEMS model used in circuit development is accurate
Physical verification (‘Tape Out’)
Verify physical layout is consistent with Design Rules
Ensure design meets manufacturability criteria
9. Static model verification
0.200
Extracted 3D
-0.200
-0.600
-1.000
-1.400
-1.800
0 2 4 6 8 10 12
Pull-in: Schematic results vs Full 3D results
10. Damping model verification
Perforated condenser membrane
Full 3D (TEM) vs Macromodel comparison
Full capture of fluidic damping and spring force