Designing mr shim arrays with irregular coil geometry theoretical considerations
•Download as DOCX, PDF•
0 likes•126 views
Designing mr shim arrays with irregular coil geometry theoretical considerations IEEE PROJECTS 2014 ----------------------------------- Contact:+91-9994232214 :+91-8144199666 Email:ieeeprojectchennai@gmail.com http://www.projectsieee.com Support: ------------- Projects Code Documentation PPT Projects Video File Projects Explaintion Teamviewer Suppport
Report
Share
Report
Share
Recommended
sure poster
This document discusses a method for reducing streak artifacts in micro computed tomography (micro CT) scans of blood vessels containing metal stents. Micro CT scans of stented vessels are compromised by streak artifacts caused by the attenuating metal struts. The proposed method assigns energy-dependent attenuation coefficients to pixels, models the x-ray spectrum passing through the image, and creates correction arrays to divide out spectral effects before image reconstruction. This computationally corrective process improves the reconstructed images and biological interpretation by reducing artifacts from the stents. Future work includes applying the technique to real micro CT data and further refining the x-ray spectrum and reconstruction models.
Atti Rinem20146 Tannino
This document compares two analytical optimization methods for designing coils that generate magnetic field gradients. The first method is based on work by Mansfield and involves nulling unnecessary terms in the Taylor expansion of the magnetic field. The second method is the Target Field Method developed by Turner, which uses inverse Fourier transforms to estimate the required current density. Both methods are applied to design coils producing linear magnetic field gradients. The results show optimizations for coils modeled as BM3, CAP3, CAP5 and CAP7, which null different orders of terms in the field expansion to achieve higher linearity. Simulations demonstrate the designed field gradients.
Automated segmentation of breast in 3 d mr images using a robust atlas
I3E Technologies,
#23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
IMPROVEMENTS OF THE ANALYSIS OF HUMAN ACTIVITY USING ACCELERATION RECORD OF E...
The use of Holter Electrocardiograph (Holter ECG) is rapidly spreading. It is a wearableelectrocardiograph that records 24-hour electrocardiograms in a built-in flash memory, making it possibleto detect atrial fibrillation (Atrial Fibrillation, AF) through all-day activities. It is also useful for screeningfor diseases other than atrial fibrillation and for improving health. It is said that more useful informationcan be obtained by combining electrocardiograph with the analysis of physical activity. For that purpose,the Holter electrocardiograph is equipped with heart rate sensor and acceleration sensors. If accelerationdata is analysed, we can estimate activities in daily life, such as getting up, eating, walking, usingtransportation, and sitting. In combination with such activity status, electrocardiographic data can be expected to be more useful.
The segmentation of 3 d images using the random walking technique on a random...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3eprojects.com
Applications
The document discusses genetic algorithms, which are search techniques inspired by evolutionary biology concepts like inheritance, mutation, selection, and crossover. They are used to find optimal or near-optimal solutions to problems. The document also discusses composite laminates used in aircraft and other applications for their high strength to weight ratio, and describes anti-symmetric and symmetric angle ply laminate structures. It notes the orientation of fibers in laminates can be optimized for design problems using genetic algorithms.
An Improved TRICKS Method for Dynamic Contrast-Enhanced Tumor Imaging
3D dynamic contrast-enhanced (DCE) imaging is a widely used technique for tumor diagnosis. A major challenge in this
application is to fast sample the dynamic signal variations while keeping the spatial resolution. TRICKS is a reduced-encoding imaging method
where k-space data are temporally subsampled during data acquisition and then recovered by linear interpolation before image reconstruction.
Significant errors can be introduced by the linear interpolation when underlying signal variations show nonlinear behavior, for example, in DCE
experiments where the signals show a rapid enhancement phase followed by a slow decay phase. This abstract presents a new image reconstruction
scheme to improve the TRICKS method. Using a nonlinear interpolation scheme, the new method can capture dynamic signal variations more accurately. Experimental results from a DCE mice tumor study are presented to demonstrate the effectiveness of the proposed method.
ModelingOfUnsegmentedCloudPointData-RP-SanjayShukla
The document proposes a novel algorithm called Intermediate Skeletal Model (ISM) for modeling unsegmented cloud point data. ISM grows a sphere recursively over data points to connect feature points and build a skeletal model. It is modified to use an adaptive radius for the sphere to better capture features. With a fixed radius, features may be lost, but an adaptive sphere can take on different shapes like a disc or ellipsoid to segment the data during modeling based on local curvature. This approach models and segments simultaneously without requiring separate steps.
Recommended
sure poster
This document discusses a method for reducing streak artifacts in micro computed tomography (micro CT) scans of blood vessels containing metal stents. Micro CT scans of stented vessels are compromised by streak artifacts caused by the attenuating metal struts. The proposed method assigns energy-dependent attenuation coefficients to pixels, models the x-ray spectrum passing through the image, and creates correction arrays to divide out spectral effects before image reconstruction. This computationally corrective process improves the reconstructed images and biological interpretation by reducing artifacts from the stents. Future work includes applying the technique to real micro CT data and further refining the x-ray spectrum and reconstruction models.
Atti Rinem20146 Tannino
This document compares two analytical optimization methods for designing coils that generate magnetic field gradients. The first method is based on work by Mansfield and involves nulling unnecessary terms in the Taylor expansion of the magnetic field. The second method is the Target Field Method developed by Turner, which uses inverse Fourier transforms to estimate the required current density. Both methods are applied to design coils producing linear magnetic field gradients. The results show optimizations for coils modeled as BM3, CAP3, CAP5 and CAP7, which null different orders of terms in the field expansion to achieve higher linearity. Simulations demonstrate the designed field gradients.
Automated segmentation of breast in 3 d mr images using a robust atlas
I3E Technologies,
#23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
IMPROVEMENTS OF THE ANALYSIS OF HUMAN ACTIVITY USING ACCELERATION RECORD OF E...
The use of Holter Electrocardiograph (Holter ECG) is rapidly spreading. It is a wearableelectrocardiograph that records 24-hour electrocardiograms in a built-in flash memory, making it possibleto detect atrial fibrillation (Atrial Fibrillation, AF) through all-day activities. It is also useful for screeningfor diseases other than atrial fibrillation and for improving health. It is said that more useful informationcan be obtained by combining electrocardiograph with the analysis of physical activity. For that purpose,the Holter electrocardiograph is equipped with heart rate sensor and acceleration sensors. If accelerationdata is analysed, we can estimate activities in daily life, such as getting up, eating, walking, usingtransportation, and sitting. In combination with such activity status, electrocardiographic data can be expected to be more useful.
The segmentation of 3 d images using the random walking technique on a random...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3eprojects.com
Applications
The document discusses genetic algorithms, which are search techniques inspired by evolutionary biology concepts like inheritance, mutation, selection, and crossover. They are used to find optimal or near-optimal solutions to problems. The document also discusses composite laminates used in aircraft and other applications for their high strength to weight ratio, and describes anti-symmetric and symmetric angle ply laminate structures. It notes the orientation of fibers in laminates can be optimized for design problems using genetic algorithms.
An Improved TRICKS Method for Dynamic Contrast-Enhanced Tumor Imaging
3D dynamic contrast-enhanced (DCE) imaging is a widely used technique for tumor diagnosis. A major challenge in this
application is to fast sample the dynamic signal variations while keeping the spatial resolution. TRICKS is a reduced-encoding imaging method
where k-space data are temporally subsampled during data acquisition and then recovered by linear interpolation before image reconstruction.
Significant errors can be introduced by the linear interpolation when underlying signal variations show nonlinear behavior, for example, in DCE
experiments where the signals show a rapid enhancement phase followed by a slow decay phase. This abstract presents a new image reconstruction
scheme to improve the TRICKS method. Using a nonlinear interpolation scheme, the new method can capture dynamic signal variations more accurately. Experimental results from a DCE mice tumor study are presented to demonstrate the effectiveness of the proposed method.
ModelingOfUnsegmentedCloudPointData-RP-SanjayShukla
The document proposes a novel algorithm called Intermediate Skeletal Model (ISM) for modeling unsegmented cloud point data. ISM grows a sphere recursively over data points to connect feature points and build a skeletal model. It is modified to use an adaptive radius for the sphere to better capture features. With a fixed radius, features may be lost, but an adaptive sphere can take on different shapes like a disc or ellipsoid to segment the data during modeling based on local curvature. This approach models and segments simultaneously without requiring separate steps.
Can graph convolution network learn spatial relations ?
This document discusses using graph convolutional networks to learn spatial relations from geographic data represented as graphs. It presents experiments on (1) detecting alignments between linear geographic features and (2) selecting roads from a generalized network that should be kept or erased at a target map scale. For alignment detection, proximity criteria were used to modify the graph and convolutional networks with attribute features predicted alignments with 72% accuracy. For road selection, features like length and importance were used and the method classified 72% of sections correctly with 73% precision and 83% recall. The document concludes graph convolutional networks show promise for learning spatial relations from graph-represented geographic data.
Some Reviews on Circularity Evaluation using Non- Linear Optimization Techniques
This document provides a review of various nonlinear optimization techniques that can be used to evaluate circularity based on measured coordinate data. It discusses techniques such as minimum zone circle, least squares circle, maximum inscribed circle, and minimum circumscribed circle for data fitting to evaluate circularity error. It also reviews optimization algorithms like genetic algorithms and particle swarm optimization that can be applied to determine the optimal circle fit to minimize circularity error. The document concludes that genetic algorithms and hybrid optimization techniques that combine multiple algorithms can provide efficient evaluations of circularity compared to other discussed methods.
Global Modelling of the Space Weather Chain (2016)
This document presents FRi3D, a novel 3D model of coronal mass ejections (CMEs) that incorporates key aspects of their structure and evolution, such as expansion, deflection, rotation, pancaking, and magnetic field configuration. The model describes CMEs as continuously analytic magnetic flux ropes that can reproduce observed deformations. It fits white-light and in-situ observations of real CMEs better than existing models by capturing their pancaked shape and larger impact distance. The FRi3D model has various applications including space weather forecasting and input to MHD simulations.
Controlling Anisotropy In Mass-Spring Systems
This presents a deformable model that offers control of the isotropy or anisotropy of elastic material, independently of the way the object is tiled into volume elements. The new model is as easy to implement and almost as efficient as mass-spring systems, from which it is derived. In addition to controlled anisotropy, it contrasts with those systems in its ability to model constant volume deformations. We illustrate the new model by animating objects tiled with tetrahedral and hexahedral meshes.
Ijetcas14 312
This document presents a mathematical analysis of seven models of asymmetrical spectral lines. The models are decomposed into symmetrical and asymmetrical parts and their parameters like maximum position, width, and dependence on asymmetry are analyzed. Two new measures of line asymmetry are proposed based on the ratio of first derivative extremes and ratio of second derivative satellite amplitudes. Normalizing the models allows comparison of their dependence on asymmetry. The integral angular function of the asymmetrical part and its difference between line wings is found to be a sensitive indicator of asymmetry. The analyses can aid in modeling asymmetrical lines and selecting appropriate models.
CASAIR: CONTENT AND SHAPE-AWARE IMAGE RETARGETING AND ITS APPLICATIONS
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Edge preserving pet image reconstruction using trust optimization transfer
I3E Technologies,
#23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
MRI Tissue Segmentation using MICO
From this presentation, you can know about an MRI Tissue Segmentation method called "Multiplicative Intrinsic Component Optimization(MICO)"
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
Morphological active contours for image segmentation have become popular due to their low computational complexity coupled with their accurate approximation of the partial differential equations
involved in the energy minimization of the segmentation process. In this paper, a morphological active contour which mimics the energy minimization of the popular Chan-Vese Active Contour without Edges is coupled with a morphological edge-driven segmentation term to accurately segment natural images. By using morphological approximations of the energy minimization steps, the algorithm has a low computational complexity. Additionally, the coupling of the edge-based and region-based segmentation techniques allows the proposed method to be robust and accurate. We will demonstrate the accuracy and robustness of the algorithm using images from the Weizmann Segmentation Evaluation Database and report on the segmentation results using the Sorensen-Dice similarity coefficient.
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
Morphological active contours for image segmentation have become popular due to their low computational complexity coupled with their accurate approximation of the partial differential equations involved in the energy minimization of the segmentation process. In this paper, a morphological active contour which mimics the energy minimization of the popular Chan-Vese Active Contour without Edges is coupled with a morphological edge-driven segmentation term to accurately segment natural images. By using morphological approximations of the energy minimization steps, the algorithm has a low computational complexity. Additionally, the coupling of the edge-based and region-based segmentation techniques allows the proposed method to be robust and accurate. We will demonstrate the accuracy and robustness of the algorithm using images from the Weizmann Segmentation Evaluation Database and report on the segmentation results using the Sorensen-Dice similarity coefficient.
E010333644
1) The document analyzes the scattering properties of a conducting cylinder coated with an anisotropic chiral material using Mie's approach. Boundary conditions are used to derive a set of equations relating the scattered field coefficients, which are solved numerically.
2) Differential scattering cross sections are calculated for co-polarized and cross-polarized waves. Numerical results show the influence of chirality, permittivity, and permeability on the scattering response. Increasing chiral coating thickness decreases the co-polarized cross section.
3) Comparisons with previous work on a perfectly conducting chiral coated cylinder show good agreement. The scattering pattern has a maximum in the forward direction, which decreases with increasing chirality.
Mirror surface reconstruction from a single image
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Mesh colorization presentation
This document summarizes a paper on mesh colorization. The proposed method uses (1) vertex similarity based on spin images to propagate color from labeled to unlabeled vertices, and (2) a feature line field to help constrain color propagation along features. The method formulates colorization as an energy minimization problem. It was presented at the Eurographics conference in Italy and introduces a novel algorithm for automatically colorizing meshes.
2D Shape Reconstruction Based on Combined Skeleton-Boundary Features
This paper proposes a new method for 2D shape reconstruction based on combining skeleton and boundary features. The method aims to mimic human perceptual processes by using both curvature properties of the shape boundary and structural properties of the shape skeleton. Junction points on the skeleton are used to identify likely protrusions, while boundary features like curvature, length and width are used to determine the strength of protrusions. Experiments show the reconstructed shapes match human perceptual judgments better than existing methods. The approach gives a stable reconstruction and is robust to noise.
Task 3
The document discusses geometric theory and modeling. It explains that the Cartesian coordinate system specifies points using numerical distances from perpendicular lines. Basic modeling uses vertices connected by edges to form triangles as the simplest polygon faces. Modeling programs include primitive objects like cubes, pyramids and cylinders that can be edited by resizing or reshaping. Polygons can be given surfaces like textures and colors to define models, such as adding armor textures to parts of an alien character.
Assembly of Parts
The document discusses various topics related to assembly modeling including assembly modelling, interference checking, tolerance analysis, and mass property calculations. It describes assembly modeling concepts such as different assembly approaches (bottom-up, top-down), mating conditions (coincident, concentric, etc.), and assembly planning considerations (part dependencies, assembly order). Tolerance analysis methods like worst case arithmetic, worst case statistical and Monte Carlo simulation are summarized. Mass property calculations of parts like mass, center of gravity, and moments of inertia are also covered. Finally, mechanism simulation and interference checking are introduced.
MRI Tissue Segmentation basics
gives basic knowledge about the methods, need and related work of bias field estimation and inhomogeneties.
Left Ventricle Volume Measurement on Short Axis MRI Images Using a Combined R...
Segmentation and volume measurement of the
cardiac ventricles is an important issue in cardiac disease
diagnosis and function assessment. Cardiac Magnetic
Resonance Imaging (CMRI) is the current reference standard
for the assessment of both left and right ventricular volumes
and mass. Several methods have been proposed for
segmentation and measurement of cardiac volumes like
deformable models, active appearance, shape models, atlas
based methods, etc. In this paper a novel method is proposed
based on a parametric superellipse model fitting for
segmentation and measurement volume of the left ventricle
on cardiac Cine MRI images. Superellipses can be used to
represent in a large variety of shapes. For fitting superellipse
on MR images, a set of data points have been needed as a
partial data. This data points resulted from a semi-automatic
region growing method that segment the homogenous region
of the left ventricle. Because of ellipsoid shape of left ventricle,
fitting superellipse on cardiac cine MRI images has excellent
accuracy. The results show better fitting and also less
computation and time consuming compared to active contour
methods, which is commonly used method for left ventricle
segmentation.
01 4941 10014-1-sm ediqbal
Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm which adopts the radii of the disks at skeleton points and the lengths of skeleton branches to extract the histogram feature, and compare the similarity between two skeletons using the histogram feature matrix of skeleton endpoints. Experiment results demonstrate that our approach which combines these two algorithms significantly outperforms several leading sketch-based retrieval approaches.
Optial Magnetormetry, Malcolm Jardine - Summer Placement Report 2015
Malcolm Jardine completed a summer placement project to set up an optical magnetometer using a cesium gas cell. Tri-axial Helmholtz coils were constructed and modeled in MATLAB to create a controlled magnetic field for testing the magnetometer. The magnetometer was able to correctly measure magnetic fields with an initial sensitivity of 0.3μT. MATLAB was also used to develop programs for modeling the magnetic fields of the coils and performing linear regression analysis of experimental data.
Spherical array of annular ring microstrip antennas
The paper discusses the analytical study of spherical arrays of annular ring microstrip antenna (ARMSA) elements excited by electric dipole. A new empirical relation for calculating the nonunifrom current amplitude distributions of these elements has been obtained. The relation contains the information about the current amplitude factor ()Δ of the antenna elements of the spherical array. The narrow beamwidth and low side lobe levels can be obtain by choosing appropriate the current amplitude factor. It is found that for current amplitude factor ()5.0=Δ the radiation pattern have narrow beamwidth and low side lobe levels compared with uniform current distribution array. Circular polarization is realized by this study depends on the spherical array geometry. By using appropriate phase of each antenna elements in spherical arrays, radiation pattern is steered without change of gain and beamwidth.
Implementation of Digital Beamforming Technique for Linear Antenna Arrays
A digital Beamforming technique used for increased channel capacity and also increased signal to noise and interference ratio. In smart antenna, different type of radiation pattern of an antenna can be changed either by selecting appropriate weights or by changing the array geometry. This paper presented based on auxiliary phase algorithm by using this algorithm in linear antenna array determine the array pattern approximating the auxiliary function in both amplitude and phase. Cost function involving auxiliary function and array pattern is minimized by modifying the pattern.
More Related Content
What's hot
Can graph convolution network learn spatial relations ?
This document discusses using graph convolutional networks to learn spatial relations from geographic data represented as graphs. It presents experiments on (1) detecting alignments between linear geographic features and (2) selecting roads from a generalized network that should be kept or erased at a target map scale. For alignment detection, proximity criteria were used to modify the graph and convolutional networks with attribute features predicted alignments with 72% accuracy. For road selection, features like length and importance were used and the method classified 72% of sections correctly with 73% precision and 83% recall. The document concludes graph convolutional networks show promise for learning spatial relations from graph-represented geographic data.
Some Reviews on Circularity Evaluation using Non- Linear Optimization Techniques
This document provides a review of various nonlinear optimization techniques that can be used to evaluate circularity based on measured coordinate data. It discusses techniques such as minimum zone circle, least squares circle, maximum inscribed circle, and minimum circumscribed circle for data fitting to evaluate circularity error. It also reviews optimization algorithms like genetic algorithms and particle swarm optimization that can be applied to determine the optimal circle fit to minimize circularity error. The document concludes that genetic algorithms and hybrid optimization techniques that combine multiple algorithms can provide efficient evaluations of circularity compared to other discussed methods.
Global Modelling of the Space Weather Chain (2016)
This document presents FRi3D, a novel 3D model of coronal mass ejections (CMEs) that incorporates key aspects of their structure and evolution, such as expansion, deflection, rotation, pancaking, and magnetic field configuration. The model describes CMEs as continuously analytic magnetic flux ropes that can reproduce observed deformations. It fits white-light and in-situ observations of real CMEs better than existing models by capturing their pancaked shape and larger impact distance. The FRi3D model has various applications including space weather forecasting and input to MHD simulations.
Controlling Anisotropy In Mass-Spring Systems
This presents a deformable model that offers control of the isotropy or anisotropy of elastic material, independently of the way the object is tiled into volume elements. The new model is as easy to implement and almost as efficient as mass-spring systems, from which it is derived. In addition to controlled anisotropy, it contrasts with those systems in its ability to model constant volume deformations. We illustrate the new model by animating objects tiled with tetrahedral and hexahedral meshes.
Ijetcas14 312
This document presents a mathematical analysis of seven models of asymmetrical spectral lines. The models are decomposed into symmetrical and asymmetrical parts and their parameters like maximum position, width, and dependence on asymmetry are analyzed. Two new measures of line asymmetry are proposed based on the ratio of first derivative extremes and ratio of second derivative satellite amplitudes. Normalizing the models allows comparison of their dependence on asymmetry. The integral angular function of the asymmetrical part and its difference between line wings is found to be a sensitive indicator of asymmetry. The analyses can aid in modeling asymmetrical lines and selecting appropriate models.
CASAIR: CONTENT AND SHAPE-AWARE IMAGE RETARGETING AND ITS APPLICATIONS
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Edge preserving pet image reconstruction using trust optimization transfer
I3E Technologies,
#23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
MRI Tissue Segmentation using MICO
From this presentation, you can know about an MRI Tissue Segmentation method called "Multiplicative Intrinsic Component Optimization(MICO)"
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
Morphological active contours for image segmentation have become popular due to their low computational complexity coupled with their accurate approximation of the partial differential equations
involved in the energy minimization of the segmentation process. In this paper, a morphological active contour which mimics the energy minimization of the popular Chan-Vese Active Contour without Edges is coupled with a morphological edge-driven segmentation term to accurately segment natural images. By using morphological approximations of the energy minimization steps, the algorithm has a low computational complexity. Additionally, the coupling of the edge-based and region-based segmentation techniques allows the proposed method to be robust and accurate. We will demonstrate the accuracy and robustness of the algorithm using images from the Weizmann Segmentation Evaluation Database and report on the segmentation results using the Sorensen-Dice similarity coefficient.
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
Morphological active contours for image segmentation have become popular due to their low computational complexity coupled with their accurate approximation of the partial differential equations involved in the energy minimization of the segmentation process. In this paper, a morphological active contour which mimics the energy minimization of the popular Chan-Vese Active Contour without Edges is coupled with a morphological edge-driven segmentation term to accurately segment natural images. By using morphological approximations of the energy minimization steps, the algorithm has a low computational complexity. Additionally, the coupling of the edge-based and region-based segmentation techniques allows the proposed method to be robust and accurate. We will demonstrate the accuracy and robustness of the algorithm using images from the Weizmann Segmentation Evaluation Database and report on the segmentation results using the Sorensen-Dice similarity coefficient.
E010333644
1) The document analyzes the scattering properties of a conducting cylinder coated with an anisotropic chiral material using Mie's approach. Boundary conditions are used to derive a set of equations relating the scattered field coefficients, which are solved numerically.
2) Differential scattering cross sections are calculated for co-polarized and cross-polarized waves. Numerical results show the influence of chirality, permittivity, and permeability on the scattering response. Increasing chiral coating thickness decreases the co-polarized cross section.
3) Comparisons with previous work on a perfectly conducting chiral coated cylinder show good agreement. The scattering pattern has a maximum in the forward direction, which decreases with increasing chirality.
Mirror surface reconstruction from a single image
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Mesh colorization presentation
This document summarizes a paper on mesh colorization. The proposed method uses (1) vertex similarity based on spin images to propagate color from labeled to unlabeled vertices, and (2) a feature line field to help constrain color propagation along features. The method formulates colorization as an energy minimization problem. It was presented at the Eurographics conference in Italy and introduces a novel algorithm for automatically colorizing meshes.
2D Shape Reconstruction Based on Combined Skeleton-Boundary Features
This paper proposes a new method for 2D shape reconstruction based on combining skeleton and boundary features. The method aims to mimic human perceptual processes by using both curvature properties of the shape boundary and structural properties of the shape skeleton. Junction points on the skeleton are used to identify likely protrusions, while boundary features like curvature, length and width are used to determine the strength of protrusions. Experiments show the reconstructed shapes match human perceptual judgments better than existing methods. The approach gives a stable reconstruction and is robust to noise.
Task 3
The document discusses geometric theory and modeling. It explains that the Cartesian coordinate system specifies points using numerical distances from perpendicular lines. Basic modeling uses vertices connected by edges to form triangles as the simplest polygon faces. Modeling programs include primitive objects like cubes, pyramids and cylinders that can be edited by resizing or reshaping. Polygons can be given surfaces like textures and colors to define models, such as adding armor textures to parts of an alien character.
Assembly of Parts
The document discusses various topics related to assembly modeling including assembly modelling, interference checking, tolerance analysis, and mass property calculations. It describes assembly modeling concepts such as different assembly approaches (bottom-up, top-down), mating conditions (coincident, concentric, etc.), and assembly planning considerations (part dependencies, assembly order). Tolerance analysis methods like worst case arithmetic, worst case statistical and Monte Carlo simulation are summarized. Mass property calculations of parts like mass, center of gravity, and moments of inertia are also covered. Finally, mechanism simulation and interference checking are introduced.
MRI Tissue Segmentation basics
gives basic knowledge about the methods, need and related work of bias field estimation and inhomogeneties.
Left Ventricle Volume Measurement on Short Axis MRI Images Using a Combined R...
Segmentation and volume measurement of the
cardiac ventricles is an important issue in cardiac disease
diagnosis and function assessment. Cardiac Magnetic
Resonance Imaging (CMRI) is the current reference standard
for the assessment of both left and right ventricular volumes
and mass. Several methods have been proposed for
segmentation and measurement of cardiac volumes like
deformable models, active appearance, shape models, atlas
based methods, etc. In this paper a novel method is proposed
based on a parametric superellipse model fitting for
segmentation and measurement volume of the left ventricle
on cardiac Cine MRI images. Superellipses can be used to
represent in a large variety of shapes. For fitting superellipse
on MR images, a set of data points have been needed as a
partial data. This data points resulted from a semi-automatic
region growing method that segment the homogenous region
of the left ventricle. Because of ellipsoid shape of left ventricle,
fitting superellipse on cardiac cine MRI images has excellent
accuracy. The results show better fitting and also less
computation and time consuming compared to active contour
methods, which is commonly used method for left ventricle
segmentation.
01 4941 10014-1-sm ediqbal
Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm which adopts the radii of the disks at skeleton points and the lengths of skeleton branches to extract the histogram feature, and compare the similarity between two skeletons using the histogram feature matrix of skeleton endpoints. Experiment results demonstrate that our approach which combines these two algorithms significantly outperforms several leading sketch-based retrieval approaches.
What's hot (19)
Can graph convolution network learn spatial relations ?
Can graph convolution network learn spatial relations ?
Some Reviews on Circularity Evaluation using Non- Linear Optimization Techniques
Some Reviews on Circularity Evaluation using Non- Linear Optimization Techniques
Global Modelling of the Space Weather Chain (2016)
Global Modelling of the Space Weather Chain (2016)
CASAIR: CONTENT AND SHAPE-AWARE IMAGE RETARGETING AND ITS APPLICATIONS
CASAIR: CONTENT AND SHAPE-AWARE IMAGE RETARGETING AND ITS APPLICATIONS
Edge preserving pet image reconstruction using trust optimization transfer
Edge preserving pet image reconstruction using trust optimization transfer
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
A HYBRID MORPHOLOGICAL ACTIVE CONTOUR FOR NATURAL IMAGES
2D Shape Reconstruction Based on Combined Skeleton-Boundary Features
2D Shape Reconstruction Based on Combined Skeleton-Boundary Features
Left Ventricle Volume Measurement on Short Axis MRI Images Using a Combined R...
Left Ventricle Volume Measurement on Short Axis MRI Images Using a Combined R...
Similar to Designing mr shim arrays with irregular coil geometry theoretical considerations
Optial Magnetormetry, Malcolm Jardine - Summer Placement Report 2015
Malcolm Jardine completed a summer placement project to set up an optical magnetometer using a cesium gas cell. Tri-axial Helmholtz coils were constructed and modeled in MATLAB to create a controlled magnetic field for testing the magnetometer. The magnetometer was able to correctly measure magnetic fields with an initial sensitivity of 0.3μT. MATLAB was also used to develop programs for modeling the magnetic fields of the coils and performing linear regression analysis of experimental data.
Spherical array of annular ring microstrip antennas
The paper discusses the analytical study of spherical arrays of annular ring microstrip antenna (ARMSA) elements excited by electric dipole. A new empirical relation for calculating the nonunifrom current amplitude distributions of these elements has been obtained. The relation contains the information about the current amplitude factor ()Δ of the antenna elements of the spherical array. The narrow beamwidth and low side lobe levels can be obtain by choosing appropriate the current amplitude factor. It is found that for current amplitude factor ()5.0=Δ the radiation pattern have narrow beamwidth and low side lobe levels compared with uniform current distribution array. Circular polarization is realized by this study depends on the spherical array geometry. By using appropriate phase of each antenna elements in spherical arrays, radiation pattern is steered without change of gain and beamwidth.
Implementation of Digital Beamforming Technique for Linear Antenna Arrays
A digital Beamforming technique used for increased channel capacity and also increased signal to noise and interference ratio. In smart antenna, different type of radiation pattern of an antenna can be changed either by selecting appropriate weights or by changing the array geometry. This paper presented based on auxiliary phase algorithm by using this algorithm in linear antenna array determine the array pattern approximating the auxiliary function in both amplitude and phase. Cost function involving auxiliary function and array pattern is minimized by modifying the pattern.
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Abstract: Sum patterns find applications in Radar for searching and ranging of the targets. A sum pattern with low sidelobe level is a desirable feature in these applications, in order to reduce EMI problems. Sum patterns with Asymmetrical sidelobe topography are considered, in applications where only certain angular regions of pattern are required to have low sidelobe level. Asymmetrical pattern characteristics can have lower beam widths for given design specifications as compared to symmetrical patterns. In view of this, a conventional method of synthesis is carried out in this paper, to produce asymmetrical sidelobe level patterns using discrete arrays. The effect of beam scanning on the pattern behavior is also analyzed for the above synthesized patterns. Keywords: sum pattern, asymmetrical sidelobe level, beam width, complex excitation weights, and discrete array.
D010631621
This document discusses the generation of asymmetrical difference patterns from continuous line sources to reduce electromagnetic interference for marine applications. It begins by introducing the need for asymmetric patterns in marine radars to account for pitch and roll of ships. It then provides the formulation for generating an asymmetric difference pattern by introducing a 180 degree phase shift to one half of a symmetric array. Several results are presented showing asymmetric difference patterns for different array sizes and line source lengths, with high sidelobes in the boresight direction as required. The paper concludes that useful asymmetric difference patterns have been generated through this technique.
Generation of Asymmetrical Difference Patterns from Continuous Line Source to...
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Design of Square Shaped Miniaturized Split Ring Resonators
Microwaves are constantly experiencing changes for many years. Microwave circuits use microstrip lines because it allows easy integration of active and passive surface mount components and it is less costly. In addition to a large number of benefits, microstrip lines have some disadvantages such as narrow-band loss, interference and low efficiency. To overcome the disadvantages, metamaterials are introduced. The proposed work shows various concentric U-shaped multi-split ring resonators(SRRs) metamaterial structures with & without broadside coupling. As compared to the conventional split ring resonators , broadside coupled resonators shows decrease in the LC resonance frequency and provide an electrically small and easy-to-fabricate alternative to the present multi-band metamaterial structures. The multi-band magnetic resonator topologies are simulated using CST Microwave Studio (MWS) to compute and compare their electrical sizes. Different types of U-shaped structures with inner and outer rings of SRR are used to realize transmission spectra, resonant frequencies and electrical sizes. This topology has the flexibility of adjusting the resonance frequencies by changing the design parameters such as the gap width, metal width and inter-ring distances. The broadside-coupled multiple U-Shaped magnetic resonator topology is considered to be a useful contribution to multi-band metamaterial research applications.
D010212029
The document compares the radiation patterns of thinned and thickened linear antenna arrays. It finds that thickening reduces the null to null beamwidth without deteriorating sidelobe levels, while thinning raises sidelobe levels and beamwidth and can introduce grating lobes if not done properly. Tables show sidelobe levels and beamwidths decrease as array size increases for both thinned and thickened arrays, but thickened arrays have better performance. Patterns are evaluated for different array sizes and element amplitudes and spacings are listed for selected thinned and thickened arrays.
battelle_diffracted_mesh_paper
This document compares the transmission and diffraction patterns of four different metallic mesh patterns applied to optical windows: non-randomized square mesh, randomized hub-and-spoke mesh, randomized hexagon mesh, and randomized overlapping circle mesh. It finds that the randomized patterns reduce the intensity of diffraction side lobes compared to the non-randomized square mesh. Specifically, the randomized overlapping circle mesh shows the most randomly distributed and lowest amplitude side lobes. However, all four patterns transmitted approximately the same percentage of light in the main beam, consistent with predictions based on the open area of the mesh patterns.
abstract_only
The document discusses the development of simulations for magnetic nozzles used in space propulsion. It outlines how the author implemented a high-order numerical method called Runge-Kutta discontinuous Galerkin to simulate magnetic nozzles based on resistive magnetohydrodynamic plasma behavior models. The author also developed appropriate boundary conditions, corrected errors in magnetic field divergence, and split the magnetic field formulation. This model was then used to study how magnetic nozzle performance scales with beta-k and Rm parameters and investigate the effect of simulation domain size.
Module of fiber coupled diode laser based on 808nm single emitter combination
Module of fiber coupled diode laser based on 808nm single emitter combinationNaku Technology Co,. Ltd
Because of the good beam quality and heat dissipation of single emitter diode laser, it is more resuitable to be used in the source of electro-optic countermeasure. Aim at the responer curve of charge-coupled device (CCD) spectrum, 808nm single emitter is used as unitsource and 24 single emitters are divided into four groups. In order to increase the output power intensity, space sombination and polarization combination are used in the experiment. Combined beam is focused in an optical fiber through the focused lens group designed by ourself. All the single emittwes are connected inseries. When the drive current is 8.5A, 162W output power is obtained from a 300um fiber core with a numerical aperture of 0.22 at 808nm and coupling efficiency of 84%.Optical coupling and transport phenomena in chains of spherical dielectric mi...
The optical transmission properties of chains or circuits of touching polystyrene microspheres with sizes in the 3–20 mm range and a size dispersion of ,1% are studied. The dye-doped spheres with fluorescent peaks due to whispering gallery modes were attached to one end of the chains. The effects of optical transport were detected using spatially resolved scattering spectroscopy. The
attenuation was shown to be ,3 to 4 dB per sphere for the modes with the best transport properties. A mechanism for the observed transport is suggested based on the formation of strongly coupled photonic modes in the systems of randomly detuned resonators with size disorder. It is shown that such circuits possess broad bandpass waveguiding characteristics essential for applications in integrated all-optical network devices.
ESA Module 5 Part-B ME832. by Dr. Mohammed Imran
1. The document describes the moire fringes technique for experimental stress analysis. Moire fringes occur when two similar patterns are overlaid, allowing strains to be measured.
2. There are two approaches to analyzing moire fringe patterns - the geometrical approach regards fringes as intersections of grids, while the displacement approach uses fringes to determine displacements.
3. The distance between bright or dark fringes equals the master grid pitch divided by the strain. Fringes indicate loci of equal displacement and allow calculating strains from measured displacements.
MEDSI 2016 Poster_A0_STB V2
The document discusses the development of a vertically focusing combined function dipole magnet for the Cornell High Energy Synchrotron Source (CHESS) Upgrade project. A 30 cm prototype of the magnet was constructed and tested. Key points:
1) CHESS-U aims to increase photon flux and beam quality with new compact magnets, including a 2.3m combined function dipole with vertical focusing.
2) Testing of a 30cm prototype validated the magnet design and assembly process before construction of final magnets.
3) Measurements of the prototype showed good agreement with design specifications and field quality requirements for the CHESS-U project.
22 4553 2518-1-sm (edit a)
For high performance communication systems, Side Lobe Level (SLL) reduction and improved directivity are the goal of antenna designers. In the recent years, many optimization techniques of antenna design are occupying demanding place over the analytical techniques. Though they have contributed attractive solutions, it is often obvious to select one that meets the particular design need at hand. In this paper, an optimization technique called Self-adaptive Differential Evolution (SaDE) that can be able to learn and behave intelligently along with hyper beam forming is integrated to determine an optimal set of excitation weights in the design of EcAA. Non-uniform excitation weights of the individual array elements of EcAA are performed to obtain reduced SLL, high directivity and flexible radiation pattern. To evaluate the improved performance of the proposed SaDE optimized hyper beam, comparison are done with uniformly excited, SaDE without hyper beam and Genetic Algorithm (GA). In general, the proposed work of pattern synthesis has resulted in much better reduction of SLL and FNBW than both the uniformly excited and thinned EcAA. The results of this study clearly reveal that the SLL highly reduced at a very directive beamwidth.
Artificial periodic substrates
This document summarizes a theory for analyzing microstrip transmission lines on artificial periodic substrates. It proposes a double vector integral equation method involving two stages: 1) solving for the Green's function of the periodic structure, and 2) using this Green's function in a second integral equation to determine the fields and parameters of the microstrip line. Key aspects of the microstrip that can be determined include the propagation constant, characteristic impedance, and propagation bandgaps due to the periodic elements. The theory is validated through numerical comparisons to effective medium approximations and experimental data on a three-layer periodic substrate structure.
Estimating the Crest Lines on Polygonal Mesh Models by an Automatic Threshold
Estimating the Crest Lines on Polygonal Mesh Models by an Automatic ThresholdAIRCC Publishing Corporation
Crest lines convey the inherent features of the shape. Mathematically Crest lines are described via extremes of the surface principal curvatures along their corresponding lines of curvature. In this study we used an automatic threshold estimation technique to estimate crest lines. We firstly computed the principal curvature and corresponding direction for each vertex in the mesh; then we computed the saliency value by a linear combination of the maximal absolute curvature and the absolute curvature difference; finally, we automatically determine the threshold to detect the crest lines according to the saliency value. For illustrative purpose, we demonstrated our method with several examples.ESTIMATING THE CREST LINES ON POLYGONAL MESH MODELS BY AN AUTOMATIC THRESHOLD
Crest lines convey the inherent features of the shape. Mathematically Crest lines are described via extremes of the surface principal curvatures along their corresponding lines of curvature. In this study we used an automatic threshold estimation technique to estimate crest lines. We firstly computed the principal curvature and corresponding direction for each vertex in the mesh; then we computed the saliency value by a linear combination of the maximal absolute curvature and the absolute curvature difference; finally, we automatically determine the threshold to detect the crest lines according to the saliency value. For illustrative purpose, we demonstrated our method with several examples.
rrl.docx
The document discusses modeling eddy current effects in transformer windings and cores for electromagnetic transient simulations. It describes existing methods and their limitations. New lumped parameter models are presented that accurately represent eddy currents in windings and laminated cores up to high frequencies with low model order. Tests show the models provide appropriate damping effects during transient simulations by capturing the underlying physical phenomena of eddy currents in transformers.
PhD defense
This document discusses the electromagnetic modeling of large planar arrays using the Scale Changing Technique (SCT). SCT decomposes planar structures into hierarchical scales to reduce computational requirements. It expresses fields on orthogonal modes and computes scale-changing networks between domains to model coupling. The document presents applications of SCT to modeling infinite and finite reflectarrays, characterizing coupling in non-uniform arrays, and simulating 2D arrays under plane wave and horn excitation. SCT was shown to efficiently model multiscale arrays and characterize coupling while avoiding issues of conventional full-wave solvers.
Similar to Designing mr shim arrays with irregular coil geometry theoretical considerations (20)
Optial Magnetormetry, Malcolm Jardine - Summer Placement Report 2015
Optial Magnetormetry, Malcolm Jardine - Summer Placement Report 2015
Spherical array of annular ring microstrip antennas
Spherical array of annular ring microstrip antennas
Implementation of Digital Beamforming Technique for Linear Antenna Arrays
Implementation of Digital Beamforming Technique for Linear Antenna Arrays
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Generation of Asymmetrical Difference Patterns from Continuous Line Source to...
Generation of Asymmetrical Difference Patterns from Continuous Line Source to...
Design of Square Shaped Miniaturized Split Ring Resonators
Design of Square Shaped Miniaturized Split Ring Resonators
Module of fiber coupled diode laser based on 808nm single emitter combination
Module of fiber coupled diode laser based on 808nm single emitter combination
Optical coupling and transport phenomena in chains of spherical dielectric mi...
Optical coupling and transport phenomena in chains of spherical dielectric mi...
Estimating the Crest Lines on Polygonal Mesh Models by an Automatic Threshold
Estimating the Crest Lines on Polygonal Mesh Models by an Automatic Threshold
ESTIMATING THE CREST LINES ON POLYGONAL MESH MODELS BY AN AUTOMATIC THRESHOLD
ESTIMATING THE CREST LINES ON POLYGONAL MESH MODELS BY AN AUTOMATIC THRESHOLD
More from ieeepondy
Demand aware network function placement
Demand aware network function placement
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
ieee projects, ieee projects chennai, ieee projects 2016,ieee projects 2017,
Service description in the nfv revolution trends, challenges and a way forward
The telecommunications landscape is undergoing major changes with the introduction of SDN and NFV, which allow new ways of designing networks and deploying network functions. Accurately describing the services to be provided is crucial for integrating and ensuring interoperability between different NFV proposals. However, fully realizing the benefits of NFV presents unique challenges that the current service description proposals do not fully address. This paper reviews current NFV service description proposals, identifies key challenges, and proposes a straw man model for service and resource description that could guide future initiatives in addressing these challenges.
Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study of linear programming
'+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile laser scanning data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Standards for hybrid clouds
Standards for hybrid clouds
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Rfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configuration
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applications using computer clouds
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functionality
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity with fully anonymous attribute based encryption”’
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of things
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centers
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learning
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Protection of big data privacy
Protection of big data privacy
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Power optimization with bler constraint for wireless fronthauls in c ran
This document proposes two power optimization techniques for wireless fronthauls in cloud radio access networks (C-RAN) that minimize energy consumption at remote radio heads while satisfying quality of service constraints. It derives a closed-form upper bound on system block error rate via union bound analysis. Then, it proposes adaptive transmission schemes and practical power optimizations based on both block error rate and pair-wise error probability to reduce energy use at remote radio heads while meeting a predefined non-zero block error rate quality of service requirement.
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auction
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instances
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distributed small cells under cloud ran+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacenters
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
More from ieeepondy (20)
Service description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forward
Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...
Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...
Rfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configuration
Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of things
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory data
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centers
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learning
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Power optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ran
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auction
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instances
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacenters
Recently uploaded
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
DRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance
Top five deadliest dog breeds in America
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Types of Herbal Cosmetics its standardization.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdIntroduction to AI for Nonprofits with Tapp Network
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Recently uploaded (20)
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
Designing mr shim arrays with irregular coil geometry theoretical considerations
- 1. Designing MR Shim Arrays With Irregular Coil Geometry: Theoretical Considerations In magnetic resonance imaging and spectroscopy, a highly uniform magnetic field is desired for minimizing image distortions and line broadening, respectively. Typically, shim coils are employed to provide correcting fields for inhomogeneities brought about by magnetic interactions with the sample under study. Flexible field modeling is possible using an array of regularly shaped conducting loops that are independently electrically driven. In this paper, a design method is presented for generating coil winding patterns for shim arrays with irregular geometry elements. These designs are compared theoretically to the use of circular loop arrays and are shown to provide considerable improvements in field accuracy and efficiency for generating low-order correcting fields.