Representation and spatially adaptive segmentation for pol sar images based on wedgelet analysis
•Download as DOCX, PDF•
1 like•163 views
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
Report
Share
Report
Share
Recommended
GIS - Topology 
This document discusses GIS topology, which establishes rules for how geographic features share geometry and spatial relationships. Topology ensures data quality, enhances analysis, and manages coincident geometry. It has three components: connectivity between nodes and arcs, area definition using polygon boundaries, and contiguity to determine adjacent features. Topological rules prevent errors like overlaps, gaps, dangles and ensure proper containment of points and boundaries.
Spatiotemporal analytics
Using spatiotemporal analytics as a technique to analyze data using geographic and time properties at scale
Lec_6_Intro to geo-referencing
This document discusses geo-referencing raster data. It defines geo-referencing as aligning raster data to real-world coordinates so it can be viewed and analyzed with other geographic data. There are two main types of geo-referencing: absolute, which aligns raster to maps or coordinates, and relative, which aligns raster to other geo-referenced raster. The document outlines the geo-referencing process, including selecting ground control points, performing transformations, and interpreting error metrics to evaluate accuracy.
Internet hyperbolic mapping paper by Krioukov
This document proposes mapping the Internet's autonomous systems (ASes) to a hyperbolic geometric space to enable greedy routing. It finds that mapping ASes with angular coordinates equal to their geographic positions and radial coordinates based on degree preserves 99.99% of shortest paths. The model places higher-degree ASes farther from the origin to match the Internet's topology. Greedy routing in this mapped hyperbolic space remains efficient even when links are removed.
Maplat - Historical viewer technology that guarantees nonlinear bijective con...
1) The document introduces a historical map viewer technology called Maplat that allows nonlinear and bijective coordinate conversion without distortion of historical maps.
2) When switching between inaccurate historical maps and accurate maps in Maplat, coordinate conversion is done in real-time to perfectly fit the maps at the center point while maintaining scale and rotation of surrounding points.
3) This allows historical maps to be overlaid on accurate maps without damaging aesthetic value, and guarantees bijective conversion back to the original location when switching between maps repeatedly.
Lecture+12+topology+2013 (3)
This document provides an overview of geographic information systems (GIS) and topology. It discusses how GIS uses topology to represent spatial relationships between geometric objects and define properties like connectivity, area definition, and contiguity. The document outlines sources of errors in GIS data and describes techniques for building and validating topology to identify errors. It provides examples of topological rules and explains how Esri's ArcGIS software is used to create, validate, and fix topology errors in GIS vector data.
Maplat - Historical map viewer technology that guarantees nonlinear bijective...
Maplat - Historical map viewer technology that guarantees nonlinear bijective conversion without distortion
Presentation of ICC2019 July 17th
Georeferencing
SBL provides georeferencing services to fulfill client requirements. Georeferencing involves assigning real-world coordinates to maps and images, which typically lack coordinate information. For satellite images, it involves geometric correction, and for scanned maps it means assigning them to a geospatial framework. A key part of georeferencing is incorporating ground control points with known coordinates to reproject and resample maps and images accurately. This allows georeferenced materials to be correctly located spatially and used for overlay analysis. SBL has capabilities for high-volume georeferencing with precise positional accuracy.
Recommended
GIS - Topology
This document discusses GIS topology, which establishes rules for how geographic features share geometry and spatial relationships. Topology ensures data quality, enhances analysis, and manages coincident geometry. It has three components: connectivity between nodes and arcs, area definition using polygon boundaries, and contiguity to determine adjacent features. Topological rules prevent errors like overlaps, gaps, dangles and ensure proper containment of points and boundaries.
Spatiotemporal analytics
Using spatiotemporal analytics as a technique to analyze data using geographic and time properties at scale
Lec_6_Intro to geo-referencing
This document discusses geo-referencing raster data. It defines geo-referencing as aligning raster data to real-world coordinates so it can be viewed and analyzed with other geographic data. There are two main types of geo-referencing: absolute, which aligns raster to maps or coordinates, and relative, which aligns raster to other geo-referenced raster. The document outlines the geo-referencing process, including selecting ground control points, performing transformations, and interpreting error metrics to evaluate accuracy.
Internet hyperbolic mapping paper by Krioukov
This document proposes mapping the Internet's autonomous systems (ASes) to a hyperbolic geometric space to enable greedy routing. It finds that mapping ASes with angular coordinates equal to their geographic positions and radial coordinates based on degree preserves 99.99% of shortest paths. The model places higher-degree ASes farther from the origin to match the Internet's topology. Greedy routing in this mapped hyperbolic space remains efficient even when links are removed.
Maplat - Historical viewer technology that guarantees nonlinear bijective con...
1) The document introduces a historical map viewer technology called Maplat that allows nonlinear and bijective coordinate conversion without distortion of historical maps.
2) When switching between inaccurate historical maps and accurate maps in Maplat, coordinate conversion is done in real-time to perfectly fit the maps at the center point while maintaining scale and rotation of surrounding points.
3) This allows historical maps to be overlaid on accurate maps without damaging aesthetic value, and guarantees bijective conversion back to the original location when switching between maps repeatedly.
Lecture+12+topology+2013 (3)
This document provides an overview of geographic information systems (GIS) and topology. It discusses how GIS uses topology to represent spatial relationships between geometric objects and define properties like connectivity, area definition, and contiguity. The document outlines sources of errors in GIS data and describes techniques for building and validating topology to identify errors. It provides examples of topological rules and explains how Esri's ArcGIS software is used to create, validate, and fix topology errors in GIS vector data.
Maplat - Historical map viewer technology that guarantees nonlinear bijective...
Maplat - Historical map viewer technology that guarantees nonlinear bijective conversion without distortion
Presentation of ICC2019 July 17th
Georeferencing
SBL provides georeferencing services to fulfill client requirements. Georeferencing involves assigning real-world coordinates to maps and images, which typically lack coordinate information. For satellite images, it involves geometric correction, and for scanned maps it means assigning them to a geospatial framework. A key part of georeferencing is incorporating ground control points with known coordinates to reproject and resample maps and images accurately. This allows georeferenced materials to be correctly located spatially and used for overlay analysis. SBL has capabilities for high-volume georeferencing with precise positional accuracy.
Lab_6_Geo-referencing
The document provides step-by-step instructions for geo-referencing raster images in ArcMap. It describes two methods: absolute geo-referencing using coordinates from Google Earth or GPS, and relative geo-referencing using another geo-referenced map as a reference. For absolute geo-referencing, it instructs the user to collect coordinates for control points from Google Earth and add them in ArcMap. For relative geo-referencing, it instructs the user to add control points by linking features between the raster image and a geo-referenced reference map. The document emphasizes adding multiple control points to reduce residual error and rectifying the image to permanently save the geo-referencing.
snower malik
This document discusses using graph convolutional neural networks (GCNNs) for classifying building patterns from spatial vector data. GCNNs generalize CNNs to non-grid data structures like graphs. The document introduces applying GCNNs to spatial vector data by converting the convolution operation from the vertex domain to a point-wise product in the Fourier domain, overcoming the problem that spatial vector data can only be modeled as graphs which do not satisfy CNNs' regularity requirements. It concludes that GCNNs provide a way to perform pattern analysis and knowledge mining of spatial vector data using powerful convolutional networks.
GIS
GIS
COORDINATE SYSTEM
GEOREFERENCING
GEOCODING
GEO DATA PROCESS
DIGITIZATION
METADATA
DATA STRUCTURE
How is photogrammetry useful in gis
Learn and get aware about the role of Photogrammetry in GIS. How it provides a general framework for describing what Photogrammetry is, how it can be useful in GIS by making use of photographs to study the areas and give the quantitative measures of the photographed area.
Modern cartography
Presentació realitzada a l'ICC (27/09/2013) en el marc de la conferència magistral, a càrrec del Prof. Georg Gartner, president de l'Associació Cartogràfica Internacional (ICA/ACI)
Georeferencing
This document provides instructions for georeferencing a map of Pakistan in GIS software. It describes connecting the folder containing the map file, adding the map file to the display, fitting it to the screen, adding control points by clicking locations on the map and entering the corresponding X,Y coordinates. It explains adding at least 4 control points, one in each corner of the map, to georeference it. It also describes viewing the link table to check the entered control point coordinates. The goal is to transform an ungeoreferenced map into a georeferenced layer that can be analyzed with other geographic data in GIS.
TYBSC IT PGIS Unit I Chapter II Geographic Information and Spacial Database
This document discusses geographic information systems and spatial databases. It covers several key topics:
1) Models and representations of the real world in digital form, including raster and vector data models. Raster models use a grid approach while vector models represent points, lines and polygons.
2) Types of geographic phenomena like fields and objects that can be represented. Fields have values across a continuous space like elevation, while objects are discrete like roads.
3) Computer representations including raster and vector formats. Raster uses a grid of cells while vector uses points, lines and polygons.
4) Topology and spatial relationships between objects like containment, overlap and adjacency.
5) Organizing and managing spatial data in
TYBSC IT PGIS Unit V Data Visualization
Data Visualization GIS and Maps, The Visualization Process Visualization Strategies: Present or explore? The cartographic toolbox: What kind of data do I have?, How can I map my data? How to map?: How to map qualitative data, How to map quantitative data, How to map the terrain elevation, How to map time series Map Cosmetics, Map Dissemination
Raster data analysis
Raster data is represented by a grid of cells, where each cell contains numeric or qualitative values. Raster data comes from sources like images, maps, and satellite imagery. Common analyses of raster data include buffering, reclassification, hillshades, interpolation, and surface calculation. Buffering assigns "in" and "out" values to cells based on their distance from a feature. Reclassification reassigns cell values. Hillshades create shaded relief maps from elevation data. Interpolation estimates values between known data points. Surface calculation performs cell-by-cell mathematical functions on rasters.
7 srtm paleochannels_aeromagnetics data
SRTM is the Shuttle Radar Topography Mission that obtained digital elevation models on a near-global scale using radar. SRTM data is available in different formats from various sources and can be used for mapping geomorphology, structures, and revealing subsurface geological patterns when combined with Landsat data. SRTM imagery and derived hillshades can identify drainage patterns and be compared to paleochannels from aeromagnetic data to study geological processes over time.
Arc Geographic Information System (GIS) Digital Elevation Models (DEM).
This presentation discuss about Arc Geographic Information System (GIS) Digital Elevation Models (DEM). DEM data sources.
Gis georeference
Map projections allow the representation of locations on the spherical Earth on a flat surface by transforming geospatial coordinates using mathematical formulas. There are different types of map projections that preserve various geometric properties to differing degrees, such as distance, shape, or direction. It is important to choose a projection and coordinate system that suit the intended mapping purpose. Coordinate systems use datums to define relationships between coordinates and locations on the Earth's irregular surface.
Surfer software
This document discusses an assignment for a group project on using the software Surfer. It provides outlines on introducing Surfer, how to use it, and applications of Surfer such as creating contour maps, 3D surface maps, wireframe maps, vector maps, base maps, and map overlays. It also lists fields that use Surfer like hydrology, geology, archaeology, and surveying.
TYBSC IT PGIS Unit III Chapter I Spatial Referencing and Positioning
Spatial Referencing and Positioning Spatial Referencing: Reference surfaces for mapping, Coordinate Systems, Map Projections, Coordinate Transformations Satellite-based Positioning: Absolute positioning, Errors in absolute positioning, Relative positioning, Network positioning, code versus phase measurements, Positioning technology
Driving behavior for ADAS and Autonomous Driving
driving behavior, modeling, recognizing, simulation, learning, ADAS, autonomous driving, deep learning, CNN, RNN, prediction, road network, scenario, traffic, end-to-end.
Summary Of Rf Services
Examples of Custom Wireless Coverage Mapping and RF Engineering Services offered by Brian Webster and Wirelessmapping.com
Driving Behavior for ADAS and Autonomous Driving IX
driving behavior, deep learning, prediction, CNN, RNN, database, trajectory, transfer learning, tracking, primitive, modularity, abstraction, intention, courteous, aggressive, selfish, reinforcement learning, GAN.
Plot-Segmentation-Poster
This document summarizes a program for segmenting drone images of agricultural research fields into individual experimental plots. The program allows a user to demarcate rows of plots in an aerial mosaic image. It then automatically segments each row into individual plots. Optionally, the program can locate plot boundaries using GPS coordinates provided by the user. It can also propagate the plot segmentation to additional images taken of the same field, enabling computer vision analysis on a per-plot basis. This allows linking of image features to plot-specific crop data.
Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery
Operational Data Fusion Framework for Building Frequent Land sat-Like ImageryKaashivInfoTech Company
An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery.
The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework.
These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework.
The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.
When MODIS and Landsat reflectances were consistent, the max- imum difference of the predicted results for all Landsat spectral bands, except the blue band, was about 0.007 (or 5.1% relatively). However, differences were larger (0.026 in absolute and 13.8% in relative, except the blue band) when two data sources were inconsistent.
In an extreme case, the difference for blue-band reflectancewasaslargeas0.029(or39.1%relatively).Case studies focused on monitoring vegetation condition in central India and the Hindu Kush Himalayan region. In general, spatial and tem- poral landscape variation could be identified with a high level of detail from the fused data. Vegetation index trajectories derived from the fused products could be associated with specific land cover types that occur in the study regions.
The operational data fusion framework provides a feasible and cost-effective way to build dense time-series images at Landsat spatial resolution for cloudy regions.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/TIN IN GIS
Triangulated Irregular Network (TIN) is a digital representation of a surface as non-overlapping triangles computed from irregularly spaced 3D points, where each point has x, y, and z coordinates. TINs are useful for representing continuous surfaces in GIS as they can accurately model terrain with significant slopes and variations while using fewer triangles in flat areas. TINs allow for easy derivation and analysis of surface properties like slope, aspect, area, and volume from mass point data, contours, and breaklines.
iData Sciences Product Overview
iData Sciences is an IT company that provides software solutions to help customers improve process efficiency and productivity in data capture. It offers innovative solutions for data capture, analytics, and optimization from documents like invoices, bank statements, and medical bills. Headquartered in New Jersey with an offshore center in Chennai, India, iData's tools extract and analyze structured and unstructured data to provide valuable insights and intelligence to organizations.
More Related Content
What's hot
Lab_6_Geo-referencing
The document provides step-by-step instructions for geo-referencing raster images in ArcMap. It describes two methods: absolute geo-referencing using coordinates from Google Earth or GPS, and relative geo-referencing using another geo-referenced map as a reference. For absolute geo-referencing, it instructs the user to collect coordinates for control points from Google Earth and add them in ArcMap. For relative geo-referencing, it instructs the user to add control points by linking features between the raster image and a geo-referenced reference map. The document emphasizes adding multiple control points to reduce residual error and rectifying the image to permanently save the geo-referencing.
snower malik
This document discusses using graph convolutional neural networks (GCNNs) for classifying building patterns from spatial vector data. GCNNs generalize CNNs to non-grid data structures like graphs. The document introduces applying GCNNs to spatial vector data by converting the convolution operation from the vertex domain to a point-wise product in the Fourier domain, overcoming the problem that spatial vector data can only be modeled as graphs which do not satisfy CNNs' regularity requirements. It concludes that GCNNs provide a way to perform pattern analysis and knowledge mining of spatial vector data using powerful convolutional networks.
GIS
GIS
COORDINATE SYSTEM
GEOREFERENCING
GEOCODING
GEO DATA PROCESS
DIGITIZATION
METADATA
DATA STRUCTURE
How is photogrammetry useful in gis
Learn and get aware about the role of Photogrammetry in GIS. How it provides a general framework for describing what Photogrammetry is, how it can be useful in GIS by making use of photographs to study the areas and give the quantitative measures of the photographed area.
Modern cartography
Presentació realitzada a l'ICC (27/09/2013) en el marc de la conferència magistral, a càrrec del Prof. Georg Gartner, president de l'Associació Cartogràfica Internacional (ICA/ACI)
Georeferencing
This document provides instructions for georeferencing a map of Pakistan in GIS software. It describes connecting the folder containing the map file, adding the map file to the display, fitting it to the screen, adding control points by clicking locations on the map and entering the corresponding X,Y coordinates. It explains adding at least 4 control points, one in each corner of the map, to georeference it. It also describes viewing the link table to check the entered control point coordinates. The goal is to transform an ungeoreferenced map into a georeferenced layer that can be analyzed with other geographic data in GIS.
TYBSC IT PGIS Unit I Chapter II Geographic Information and Spacial Database
This document discusses geographic information systems and spatial databases. It covers several key topics:
1) Models and representations of the real world in digital form, including raster and vector data models. Raster models use a grid approach while vector models represent points, lines and polygons.
2) Types of geographic phenomena like fields and objects that can be represented. Fields have values across a continuous space like elevation, while objects are discrete like roads.
3) Computer representations including raster and vector formats. Raster uses a grid of cells while vector uses points, lines and polygons.
4) Topology and spatial relationships between objects like containment, overlap and adjacency.
5) Organizing and managing spatial data in
TYBSC IT PGIS Unit V Data Visualization
Data Visualization GIS and Maps, The Visualization Process Visualization Strategies: Present or explore? The cartographic toolbox: What kind of data do I have?, How can I map my data? How to map?: How to map qualitative data, How to map quantitative data, How to map the terrain elevation, How to map time series Map Cosmetics, Map Dissemination
Raster data analysis
Raster data is represented by a grid of cells, where each cell contains numeric or qualitative values. Raster data comes from sources like images, maps, and satellite imagery. Common analyses of raster data include buffering, reclassification, hillshades, interpolation, and surface calculation. Buffering assigns "in" and "out" values to cells based on their distance from a feature. Reclassification reassigns cell values. Hillshades create shaded relief maps from elevation data. Interpolation estimates values between known data points. Surface calculation performs cell-by-cell mathematical functions on rasters.
7 srtm paleochannels_aeromagnetics data
SRTM is the Shuttle Radar Topography Mission that obtained digital elevation models on a near-global scale using radar. SRTM data is available in different formats from various sources and can be used for mapping geomorphology, structures, and revealing subsurface geological patterns when combined with Landsat data. SRTM imagery and derived hillshades can identify drainage patterns and be compared to paleochannels from aeromagnetic data to study geological processes over time.
Arc Geographic Information System (GIS) Digital Elevation Models (DEM).
This presentation discuss about Arc Geographic Information System (GIS) Digital Elevation Models (DEM). DEM data sources.
Gis georeference
Map projections allow the representation of locations on the spherical Earth on a flat surface by transforming geospatial coordinates using mathematical formulas. There are different types of map projections that preserve various geometric properties to differing degrees, such as distance, shape, or direction. It is important to choose a projection and coordinate system that suit the intended mapping purpose. Coordinate systems use datums to define relationships between coordinates and locations on the Earth's irregular surface.
Surfer software
This document discusses an assignment for a group project on using the software Surfer. It provides outlines on introducing Surfer, how to use it, and applications of Surfer such as creating contour maps, 3D surface maps, wireframe maps, vector maps, base maps, and map overlays. It also lists fields that use Surfer like hydrology, geology, archaeology, and surveying.
TYBSC IT PGIS Unit III Chapter I Spatial Referencing and Positioning
Spatial Referencing and Positioning Spatial Referencing: Reference surfaces for mapping, Coordinate Systems, Map Projections, Coordinate Transformations Satellite-based Positioning: Absolute positioning, Errors in absolute positioning, Relative positioning, Network positioning, code versus phase measurements, Positioning technology
Driving behavior for ADAS and Autonomous Driving
driving behavior, modeling, recognizing, simulation, learning, ADAS, autonomous driving, deep learning, CNN, RNN, prediction, road network, scenario, traffic, end-to-end.
Summary Of Rf Services
Examples of Custom Wireless Coverage Mapping and RF Engineering Services offered by Brian Webster and Wirelessmapping.com
Driving Behavior for ADAS and Autonomous Driving IX
driving behavior, deep learning, prediction, CNN, RNN, database, trajectory, transfer learning, tracking, primitive, modularity, abstraction, intention, courteous, aggressive, selfish, reinforcement learning, GAN.
Plot-Segmentation-Poster
This document summarizes a program for segmenting drone images of agricultural research fields into individual experimental plots. The program allows a user to demarcate rows of plots in an aerial mosaic image. It then automatically segments each row into individual plots. Optionally, the program can locate plot boundaries using GPS coordinates provided by the user. It can also propagate the plot segmentation to additional images taken of the same field, enabling computer vision analysis on a per-plot basis. This allows linking of image features to plot-specific crop data.
Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery
Operational Data Fusion Framework for Building Frequent Land sat-Like ImageryKaashivInfoTech Company
An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery.
The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework.
These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework.
The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.
When MODIS and Landsat reflectances were consistent, the max- imum difference of the predicted results for all Landsat spectral bands, except the blue band, was about 0.007 (or 5.1% relatively). However, differences were larger (0.026 in absolute and 13.8% in relative, except the blue band) when two data sources were inconsistent.
In an extreme case, the difference for blue-band reflectancewasaslargeas0.029(or39.1%relatively).Case studies focused on monitoring vegetation condition in central India and the Hindu Kush Himalayan region. In general, spatial and tem- poral landscape variation could be identified with a high level of detail from the fused data. Vegetation index trajectories derived from the fused products could be associated with specific land cover types that occur in the study regions.
The operational data fusion framework provides a feasible and cost-effective way to build dense time-series images at Landsat spatial resolution for cloudy regions.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/TIN IN GIS
Triangulated Irregular Network (TIN) is a digital representation of a surface as non-overlapping triangles computed from irregularly spaced 3D points, where each point has x, y, and z coordinates. TINs are useful for representing continuous surfaces in GIS as they can accurately model terrain with significant slopes and variations while using fewer triangles in flat areas. TINs allow for easy derivation and analysis of surface properties like slope, aspect, area, and volume from mass point data, contours, and breaklines.
What's hot (20)
TYBSC IT PGIS Unit I Chapter II Geographic Information and Spacial Database
TYBSC IT PGIS Unit I Chapter II Geographic Information and Spacial Database
Arc Geographic Information System (GIS) Digital Elevation Models (DEM).
Arc Geographic Information System (GIS) Digital Elevation Models (DEM).
TYBSC IT PGIS Unit III Chapter I Spatial Referencing and Positioning
TYBSC IT PGIS Unit III Chapter I Spatial Referencing and Positioning
Driving Behavior for ADAS and Autonomous Driving IX
Driving Behavior for ADAS and Autonomous Driving IX
Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery
Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery
Viewers also liked
iData Sciences Product Overview
iData Sciences is an IT company that provides software solutions to help customers improve process efficiency and productivity in data capture. It offers innovative solutions for data capture, analytics, and optimization from documents like invoices, bank statements, and medical bills. Headquartered in New Jersey with an offshore center in Chennai, India, iData's tools extract and analyze structured and unstructured data to provide valuable insights and intelligence to organizations.
Geothermal energy
Geothermal energy harnesses heat from the earth's interior to generate electricity or provide heating. It can be produced through geothermal power plants that drill into the earth to extract hot water or steam which is used to spin turbines and generate electricity, or through geothermal heat pumps that tap into shallow earth heat to provide heating for buildings. The Philippines currently operates several geothermal power plants across the country.
DOC-20160815-WA0002
This study examined off-label drug use in hospitalized children at Gondar University Referral Hospital in Ethiopia. The researchers conducted a prospective observational study of 243 pediatric patients over 3 months. They found that 75.8% of the 800 drugs prescribed were off-label. Antimicrobials were the most commonly prescribed off-label drugs, accounting for 60.6% of off-label use. Inappropriate dosing and frequency was the leading reason for off-label use. Age group and undergoing surgery were significant predictors of off-label prescribing based on multivariate analysis. The study concludes that generating more evidence on safety and effectiveness of off-label drugs could help improve appropriate use in pediatric populations.
[Etude DGE] Les JEI en 2015 !
Les Jeunes Entreprises Innovantes ou JEI en 2015: le portrait robot selon l'étude de la DGE (sortie en Décembre 2016)
Pslb lab manual
The document contains 10 programming experiments involving basic C programming concepts like functions, arrays, loops, conditional statements, etc. Each experiment has the aim, code implementation, and sample output for programs to calculate sphere volume and area, sum of digits in a number, triangle properties, Pythagorean triplets, prime numbers in a range, recursive functions to reverse a number, sum even numbers, bubble sort an array, and find common elements between two arrays.
Meetup 29/11 - De wonderlijke datascience technieken achter slimnaarantwerpen.be
Slides van de meetup op 29/11: https://www.meetup.com/DigAnt-Cafe/events/235620364/
Language Computer Corporation: Text Extraction Profile
Language Computer Corporation provides customizable natural language processing software solutions. It has developed several information extraction systems over the years, including named entity recognition, relationship extraction, event extraction, question answering, and summarization. Its most recent system, CiceroCustom, allows users to easily create custom extractors for any type of entity, attribute, or event within minutes using an active learning approach. This provides more flexibility than traditional extraction methods.
How to Become a Thought Leader in Your Niche
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
Viewers also liked (11)
Meetup 29/11 - De wonderlijke datascience technieken achter slimnaarantwerpen.be
Meetup 29/11 - De wonderlijke datascience technieken achter slimnaarantwerpen.be
Language Computer Corporation: Text Extraction Profile
Language Computer Corporation: Text Extraction Profile
Similar to Representation and spatially adaptive segmentation for pol sar images based on wedgelet analysis
Research on Image Classification Model of Probability Fusion Spectrum-Spatial...
For insufficient information of imaging spectrum with high spatial resolution, detailed imaging information, reduction of mixed pixels, increase of pure pixels and problems of image characteristic extraction and model classification produced from this, we provide a classifier model of a united spectrum-spatial multi-characteristic based on SVM, and use this model to finish the image classification. The model completely uses the multi-characteristic information, and overcomes the over-fitting problems produced by accumulating high-dimensional characteristics. The model includes three classifications of spectrum-spatial characteristics, namely spectral characteristics-spectral characteristic of multi-scale morphology, spectral characteristics-physical characteristics of underlaying surfaces of multi-scale morphology and spectral characteristics-features spatial extension characteristics of multi-scale morphology. Firstly the three classifications of spectrum-spatial characteristics are classified through SVM, then carries out the probability fusion for the classification results based on the pixels to obtain the final image classification results. This article respectively uses WorldView-2 image and ROSIS image to experiment, and the results show that the model has better classification effect compared with VS-SVM algorithm.
Ieee transactions on image processing
This document contains summaries of several academic papers. The papers discuss topics related to computer vision, image processing, and machine learning including monocular depth estimation, subspace clustering, person re-identification, image set coding, 3D shape matching, single-image super-resolution, video synopsis, frame rate upconversion, in-loop filtering in video coding, microscopy image denoising, visual tracking, stereo matching, and brain image segmentation. Contact information is provided for TSYS Academic Projects in Adyar, India.
3D reconstruction
This document summarizes a research paper that presents a real-time 3D reconstruction method using stereo vision from a driving car. The method extends LSD-SLAM with stereo capabilities to simultaneously track camera pose and reconstruct semi-dense depth maps. It is evaluated on the KITTI dataset and compared to laser scans and traditional stereo methods. Results show the direct SLAM technique generates visually pleasing and globally consistent semi-dense reconstructions in real-time on a single CPU.
Matlab image processing_2013_ieee
The document contains abstracts from 10 different research papers related to image processing and computer vision. The papers cover topics such as face recognition, reversible watermarking, building footprint detection from SAR images, change detection in remote sensing images, estimating information from image colors, vehicle detection, histology image retrieval, automatic license plate recognition, SAR image segmentation, and context-dependent logo matching and recognition.
M.E Computer Science Remote Sensing Projects
List of Remote Sensing IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Remote Sensing for M.E Computer Science students.
M.Phil Computer Science Remote Sensing Projects
List of Remote Sensing IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Remote Sensing for M.Phil Computer Science students.
M phil-computer-science-remote-sensing-projects
List of Remote Sensing IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Remote Sensing for M.Phil Computer Science students.
M phil-computer-science-remote-sensing-projects
List of Remote Sensing IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Remote Sensing for M.Phil Computer Science students.
APPLYING R-SPATIOGRAM IN OBJECT TRACKING FOR OCCLUSION HANDLING
Object tracking is one of the most important problems in computer vision. The aim of video tracking is to extract the trajectories of a target or object of interest, i.e. accurately locate a moving target in a video sequence and discriminate target from non-targets in the feature space of the sequence. So, feature descriptors can have significant effects on such discrimination. In this paper, we use the basic idea of many trackers which consists of three main components of the reference model, i.e., object modeling, object detection and localization, and model updating. However, there are major improvements in our system. Our forth component, occlusion handling, utilizes the r-spatiogram to detect the best target candidate. While spatiogram contains some moments upon the coordinates of the pixels, r-spatiogram computes region-based compactness on the distribution of the given feature in the image that captures richer features to represent the objects. The proposed research develops an efficient and robust way to keep tracking the object throughout video sequences in the presence of significant appearance variations and severe occlusions. The proposed method is evaluated on the Princeton RGBD tracking dataset considering sequences with different challenges and the obtained results demonstrate the effectiveness of the proposed method.
B017360516
The document presents a new approach called Linear Curvature Empirical Coding (LCEC) for image retrieval. LCEC aims to improve upon existing curvature-based coding approaches by linearly representing the curvature scale space plot and then applying empirical coding to select descriptive shape features. The linear representation considers variations across all smoothing factors rather than discarding information below a threshold. Empirical coding is used to select features based on variation density rather than just magnitudes. The results show LCEC performs better than previous methods for image retrieval.
Empirical Coding for Curvature Based Linear Representation in Image Retrieval...
The document presents a new approach called Linear Curvature Empirical Coding (LCEC) for image retrieval. LCEC aims to improve upon existing curvature-based coding approaches by linearly representing the curvature scale space plot and then applying empirical coding to select descriptive shape features. The linear representation considers variations across all smoothing factors rather than discarding information below a threshold. Empirical coding is used to select features based on variation density rather than just magnitude. The results show LCEC performs better than previous methods for image retrieval.
Fractal analysis for reduced reference
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
6 superpixels using morphology for rock image
The document describes a new superpixel segmentation algorithm called Superpixels Using Morphology (SUM) and compares it to existing algorithms. SUM uses a watershed transformation approach on an image's morphological gradient that has undergone area closing to efficiently generate superpixels. In experiments on rock images, SUM achieved under-segmentation error and boundary recall comparable to recent algorithms while being significantly faster, making it suitable for applications requiring fast superpixel generation.
Ad04603175180
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
EFFECTIVE INTEREST REGION ESTIMATION MODEL TO REPRESENT CORNERS FOR IMAGE
One of the most important steps to describe local features is to estimate the interest region around the feature location to achieve the invariance against different image transformation. The pixels inside the interest region are used to build the descriptor, to represent a feature. Estimating the interest region
around a corner location is a fundamental step to describe the corner feature. But the process is challenging under different image conditions. Most of the corner detectors derive appropriate scales to estimate the region to build descriptors. In our approach, we have proposed a new local maxima-based
interest region detection method. This region estimation method can be used to build descriptors to represent corners. We have performed a comparative analysis to match the feature points using recent corner detectors and the result shows that our method achieves better precision and recall results than
existing methods.
A Review on Label Image Constrained Multiatlas Selection
This document reviews a label image constrained multi-atlas selection method for automated segmentation of prostate MRI images. The key steps of the proposed method include image normalization, registration of atlases to the target image, atlas selection using a label image constrained manifold ranking approach, and weighted combination of the selected atlases. The atlas selection approach aims to reduce the influence of surrounding anatomical structures by incorporating label image information to constrain the manifold projection. A novel weight computation algorithm is also proposed to improve the combination step. The method shows improvements over existing multi-atlas segmentation approaches and has applications in medical image segmentation tasks.
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.
An Assessment of Image Matching Algorithms in Depth Estimation
Computer vision is often used with mobile robot for feature tracking, landmark sensing, and obstacle detection. Almost all high-end robotics systems are now equipped with pairs of cameras arranged to provide depth perception. In stereo vision application, the disparity between the stereo images allows depth estimation within a scene. Detecting conjugate pair in stereo images is a challenging problem known as the correspondence problem. The goal of this research is to assess the performance of SIFT, MSER, and SURF, the well known matching algorithms, in solving the correspondence problem and then in estimating the depth within the scene. The results of each algorithm are evaluated and presented. The conclusion and recommendations for future works, lead towards the improvement of these powerful algorithms to achieve a higher level of efficiency within the scope of their performance.
Implementation of Fuzzy Logic for the High-Resolution Remote Sensing Images w...
This document describes an implementation of fuzzy logic for high-resolution remote sensing image classification with improved accuracy. It discusses using an object-based approach with fuzzy rules to classify urban land covers in a satellite image. The approach involves image segmentation using k-means clustering or ISODATA clustering. Features are then extracted from the image objects and fuzzy logic is applied to classify the objects based on membership functions. The method was tested on different sensor and resolution images in MATLAB and showed improved classification accuracy over other techniques, achieving lower entropy in results. Future work planned includes designing an unsupervised classification model combining k-means clustering and fuzzy-based object orientation.
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.
Similar to Representation and spatially adaptive segmentation for pol sar images based on wedgelet analysis (20)
Research on Image Classification Model of Probability Fusion Spectrum-Spatial...
Research on Image Classification Model of Probability Fusion Spectrum-Spatial...
APPLYING R-SPATIOGRAM IN OBJECT TRACKING FOR OCCLUSION HANDLING
APPLYING R-SPATIOGRAM IN OBJECT TRACKING FOR OCCLUSION HANDLING
Empirical Coding for Curvature Based Linear Representation in Image Retrieval...
Empirical Coding for Curvature Based Linear Representation in Image Retrieval...
EFFECTIVE INTEREST REGION ESTIMATION MODEL TO REPRESENT CORNERS FOR IMAGE
EFFECTIVE INTEREST REGION ESTIMATION MODEL TO REPRESENT CORNERS FOR IMAGE
A Review on Label Image Constrained Multiatlas Selection
A Review on Label Image Constrained Multiatlas Selection
An Assessment of Image Matching Algorithms in Depth Estimation
An Assessment of Image Matching Algorithms in Depth Estimation
Implementation of Fuzzy Logic for the High-Resolution Remote Sensing Images w...
Implementation of Fuzzy Logic for the High-Resolution Remote Sensing Images w...
ModelingOfUnsegmentedCloudPointData-RP-SanjayShukla
ModelingOfUnsegmentedCloudPointData-RP-SanjayShukla
More from I3E Technologies
Add
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.i3etechnologies.com, www.i3eprojects.com
Design of a low voltage low-dropout regulator
This document outlines the sections and contents for a project report on designing a low-voltage low-dropout regulator. It includes sections for an abstract, introduction, literature survey, existing and proposed systems, advantages, requirements, diagrams, implementation, testing, conclusions, and references. Contact information and course offerings are also provided for i3e Technologies.
An efficient constant multiplier architecture based on vertical horizontal bi...
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.i3etechnologies.com, www.i3eprojects.com
Aging aware reliable multiplier design with adaptive hold logic
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.i3etechnologies.com, www.i3eprojects.com
A high performance fir filter architecture for fixed and reconfigurable appli...
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.i3etechnologies.com, www.i3eprojects.com
A generalized algorithm and reconfigurable architecture for efficient and sca...
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.i3etechnologies.com, www.i3eprojects.com
A combined sdc sdf architecture for normal i o pipelined radix-2 fft
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.i3etechnologies.com, www.i3eprojects.com
Reverse converter design via parallel prefix adders novel components, method...
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.i3etechnologies.com, www.i3eprojects.com
Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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.i3etechnologies.com, www.i3eprojects.com
Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
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.i3etechnologies.com, www.i3eprojects.com
Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
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.i3etechnologies.com, www.i3eprojects.com
Ultrasparse ac link converters
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.i3etechnologies.com, www.i3eprojects.com
Single inductor dual-output buck–boost power factor correction converter
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.i3etechnologies.com, www.i3eprojects.com
Ripple minimization through harmonic elimination in asymmetric interleaved mu...
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.i3etechnologies.com, www.i3eprojects.com
Resonance analysis and soft switching design of isolated boost converter with...
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.i3etechnologies.com, www.i3eprojects.com
Reliability evaluation of conventional and interleaved dc–dc boost converters
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.i3etechnologies.com, www.i3eprojects.com
Power factor corrected zeta converter based improved power quality switched m...
The document describes a proposed switched mode power supply (SMPS) system that uses a front-end power factor corrected Zeta converter to improve power quality. The front-end converter reduces 100-Hz ripple and improves power factor and voltage regulation. Simulation and testing of a laboratory prototype showed the proposed SMPS enhanced performance under varying input voltages and loading conditions, meeting international power quality standards.
Pfc cuk converter fed bldc motor drive
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.i3etechnologies.com, www.i3eprojects.com
Optimized operation of current fed dual active bridge dc dc converter for pv ...
This document discusses optimized operation of a current-fed dual active bridge DC-DC converter for photovoltaic applications. It analyzes the operating principle and soft-switching conditions over a wide operating range with phase shift and duty cycle control. An optimized operating mode is proposed to achieve minimum RMS transformer current and extend the soft-switching region to reduce losses. Experimental results from a 5 kW hardware prototype verify the analysis. Contact and location information is also provided for an organization that develops IEEE software and hardware projects.
Online variable topology type photovoltaic grid-connected inverter
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.i3etechnologies.com, www.i3eprojects.com
More from I3E Technologies (20)
An efficient constant multiplier architecture based on vertical horizontal bi...
An efficient constant multiplier architecture based on vertical horizontal bi...
Aging aware reliable multiplier design with adaptive hold logic
Aging aware reliable multiplier design with adaptive hold logic
A high performance fir filter architecture for fixed and reconfigurable appli...
A high performance fir filter architecture for fixed and reconfigurable appli...
A generalized algorithm and reconfigurable architecture for efficient and sca...
A generalized algorithm and reconfigurable architecture for efficient and sca...
A combined sdc sdf architecture for normal i o pipelined radix-2 fft
A combined sdc sdf architecture for normal i o pipelined radix-2 fft
Reverse converter design via parallel prefix adders novel components, method...
Reverse converter design via parallel prefix adders novel components, method...
Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
Single inductor dual-output buck–boost power factor correction converter
Single inductor dual-output buck–boost power factor correction converter
Ripple minimization through harmonic elimination in asymmetric interleaved mu...
Ripple minimization through harmonic elimination in asymmetric interleaved mu...
Resonance analysis and soft switching design of isolated boost converter with...
Resonance analysis and soft switching design of isolated boost converter with...
Reliability evaluation of conventional and interleaved dc–dc boost converters
Reliability evaluation of conventional and interleaved dc–dc boost converters
Power factor corrected zeta converter based improved power quality switched m...
Power factor corrected zeta converter based improved power quality switched m...
Optimized operation of current fed dual active bridge dc dc converter for pv ...
Optimized operation of current fed dual active bridge dc dc converter for pv ...
Online variable topology type photovoltaic grid-connected inverter
Online variable topology type photovoltaic grid-connected inverter
Recently uploaded
Butterfly Valves Manufacturer (LBF Series).pdf
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
OOPS_Lab_Manual - programs using C++ programming language
This manual contains programs on object oriented programming concepts using C++ language.
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Supermarket Management System Project Report.pdf
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Sri Guru Hargobind Ji - Bandi Chor Guru.pdf
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
EMERSON EDUARDO RODRIGUES
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
原版一模一样【微信：741003700 】【(uofo毕业证书)美国俄勒冈大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...Paris Salesforce Developer Group
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.Digital Twins Computer Networking Paper Presentation.pptx
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
Paper Title
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications
Authors
Reginald Jude Sixtus J and Tamilarasi Muthu, Puducherry Technological University, India
Abstract
Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamically adapting to the functioning pattern of fluctuating channel state. The LSTM stage with adaptive coding and modulation enhances the BER.PSO algorithm is employed to optimize input weights of LSTM network. The modified algorithm splits the power by channel condition of every single user. Participants will be first sorted into distinct groups depending upon respective channel conditions, using a hybrid beamforming approach. The network characteristics are fine-estimated using PSO-LSTMEstNet after a rough approximation of channels parameters derived from the received data.
Keywords
Signal to Noise Ratio (SNR), Bit Error Rate (BER), mm-Wave, MIMO, NOMA, deep learning, optimization.
Volume URL: https://airccse.org/journal/ijc2022.html
Abstract URL:https://aircconline.com/abstract/ijcnc/v14n5/14522cnc05.html
Pdf URL: https://aircconline.com/ijcnc/V14N5/14522cnc05.pdf
#scopuspublication #scopusindexed #callforpapers #researchpapers #cfp #researchers #phdstudent #researchScholar #journalpaper #submission #journalsubmission #WBAN #requirements #tailoredtreatment #MACstrategy #enhancedefficiency #protrcal #computing #analysis #wirelessbodyareanetworks #wirelessnetworks
#adhocnetwork #VANETs #OLSRrouting #routing #MPR #nderesidualenergy #korea #cognitiveradionetworks #radionetworks #rendezvoussequence
Here's where you can reach us : ijcnc@airccse.org or ijcnc@aircconline.com
FULL STACK PROGRAMMING - Both Front End and Back End
This ppt gives details about Full Stack Programming and its basics.
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
* Registration is currently open *
Call for Research Papers!!!
Free – Extended Paper will be published as free of cost.
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
July 13 ~ 14, 2024, Virtual Conference
Webpage URL: https://aiad2024.org/index
Submission Deadline: June 22, 2024
Submission System URL:
https://aiad2024.org/submission/index.php
Contact Us:
Here's where you can reach us : aiad@aiad2024.org (or) aiadconference@yahoo.com
WikiCFP URL: http://wikicfp.com/cfp/servlet/event.showcfp?eventid=180509©ownerid=171656
#artificialintelligence #softcomputing #machinelearning #technology #datascience #python #deeplearning #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #engineering #robot #datascientist #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer #promptengineering #generativeai #genai #chatgpt #artificial #intelligence #datamining #networkscommunications #robotics #callforsubmission #submissionsopen #deadline #opencall #virtual #conference
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
原版一模一样【微信：741003700 】【(uoft毕业证书)加拿大多伦多大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Recently uploaded (20)
OOPS_Lab_Manual - programs using C++ programming language
OOPS_Lab_Manual - programs using C++ programming language
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
FULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back End
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Representation and spatially adaptive segmentation for pol sar images based on wedgelet analysis
- 1. REPRESENTATION AND SPATIALLY ADAPTIVE SEGMENTATION FOR POLSAR IMAGES BASED ON WEDGELET ANALYSIS ABSTRACT It is believed that it is essential to take the spatialadaptivity into the segmentation method for Polari metric synthetic aperture radar (PolSAR) images. The size and shape of eachsegment and the strength of the relationship of neighboring pixelsneed to depend on the local spatial complexity of the scene. The wedge let framework provides a promising analysis tool for spatial Information. The major advantage of the wedge let analysis is that it captures the geometrical structure of images at multiple scales, with the local spatial complexity taken into consideration. Hence, in this paper, we propose a wedge let approximation and analysis framework specially designed for PolSAR data. Based on thisframework, a spatially adaptive representation and segmentationmethod is constructed and presented. It mainly consists of three parts: first, the multi scale wedge let decomposition is applied to the PolSAR image, and the local geometrical information is capturedin an optimal way; then, the image is segmented in a spatiallyadaptive manner by the multi scale wedge let representation in the form of the regularized optimization, which keeps a balancebetween the approximation and parsimony of the representation;the final part is the spatial-complexity-adaptive segmentation refinement based on the Wish art Markov random field model. Theperformance of the proposed method is presented and analyzedon two experimental data sets, with visual presentation and numericalevaluation. It is also compared with an existing and theoreticallywell-founded segmentation method. The experiments andresults demonstrate the availability and advantage of the proposedmethod.