A Graphical User Interface (GUI) was developed for
a user-friendly implementation of a water depth correction
model. The Interactive Data Language (IDL)-based tool
provides the prospective users with an interface that can be
applied to perform water depth correction on hyperspectral
images that contain shallow water bodies containing benthic
habitat information. Users can select a pixel or a subset of a
hyperspectral image to be corrected and define water
correction for water depths of 0-2.0 m and for turbidity values
of 0-20 NTU (Nephalometric Turbidity Unit) using the GUI.
The results demonstrate that the GUI is an effective benthic
mapping tool for shallow littoral areas; and it can be
incorporated as a module in currently available commercial
image processing software.
Digital Ortho Image Creation of Hall County Aerial Photos Papermpadams77
Special Topics Project Paper “Digital Ortho Image Creation of Hall County Aerial Photos” which I presented at the Florida Academy of Science and Georgia Academy of Science Joint Conference held in Jacksonville, FL March 14th and 15th of 2008
A Fusion Based Visibility Enhancement of Single Underwater Hazy ImageIJAAS Team
This document summarizes a research paper that proposes a novel method for enhancing the visibility of single underwater images using multimodal discrete wavelet transform (DWT) fusion. The method generates two inputs for the fusion framework by applying contrast enhancement using singular value decomposition and discrete wavelet transform to the hue-saturation-value color space, and color constancy using the shades of gray algorithm. The fused image produced by taking the mean of approximation sub-bands and the maximum of detail sub-bands undergoes further contrast stretching for enhancement. Experimental results demonstrate improved contrast and visibility over other state-of-the-art underwater image enhancement techniques.
Robust High Resolution Image from the Low Resolution Satellite Imageidescitation
In this paper, we propose a framework detecting and locating the land cover
classes from a low-resolution image, which can play a very important role in the satellite
surveillance image from the MODIS data. The lands cover classes by constructing super-
resolution images from the MODIS data. The highest resolution of the MODIS images is 250
meters per pixel. By magnifying and de-blurring the low-resolution satellite image through
the kernel regression. SR reconstruction is image interpolation that has been used to
increase the size of a single image. The SRKR algorithm takes a single low-resolution image
and generates a de-blurred high-resolution image. We perform bi-cubic interpolation on the
input low-resolution image (LR) with a desired scaling factor. Finally, the KR model is then
used to generate the de-blurred HR image. K-means is one of the simplest unsupervised
learning algorithms that solve the well-known clustering problem, which generates a
specific number of disjoint, flat (non-hierarchical) clusters. K-means clustering is employ in
order to compare MODIS data and recognize land cover type, i.e., “Forest”, “Land”, “sea”,
and “Ice”.
IRJET-A Review of Underwater Image Enhancement By Wavelet Decomposition using...IRJET Journal
This document reviews underwater image enhancement techniques using wavelet decomposition implemented on a field programmable gate array (FPGA). It begins with an introduction to the poor quality of underwater images due to light scattering and color distortion. It then discusses prior work on underwater image enhancement using techniques like wavelet fusion and contrast adjustment. The proposed approach involves color correction, contrast enhancement, and multi-scale fusion via wavelet decomposition of the color-corrected and contrast-enhanced images. Low frequency components are fused with weighted averaging while high frequency components use local variance. Experimental results demonstrate this wavelet fusion approach improves underwater image visibility.
This document discusses digital image processing of satellite images. It describes how satellite images are represented digitally as pixels with brightness values. It outlines three main categories of image processing: image rectification and restoration to correct distortions; enhancement to improve visual interpretation; and information extraction to automate feature identification. Specific techniques discussed include image rectification, contrast enhancement, spatial filtering, edge enhancement, and band ratioing. The overall aim is to analyze satellite images both visually and quantitatively.
High Performance Computing for Satellite Image Processing and Analyzing – A ...Editor IJCATR
High Performance Computing (HPC) is the recently developed technology in the field of computer science, which evolved
due to meet increasing demands for processing speed and analysing/processing huge size of data sets. HPC brings together several
technologies such as computer architecture, algorithm, programs and system software under one canopy to solve/handle advanced
complex problems quickly and effectively. It is a crucial element today to gather and process large amount of satellite (remote sensing)
data which is the need of an hour. In this paper, we review recent development in HPC technology (Parallel, Distributed and Cluster
Computing) for satellite data processing and analysing. We attempt to discuss the fundamentals of High Performance Computing
(HPC) for satellite data processing and analysing, in a way which is easy to understand without much previous background. We sketch
the various HPC approach such as Parallel, Distributed & Cluster Computing and subsequent satellite data processing & analysing
methods like geo-referencing, image mosaicking, image classification, image fusion and Morphological/neural approach for hyperspectral satellite data. Collective, these works deliver a snapshot, tables and algorithms of the recent developments in those sectors and
offer a thoughtful perspective of the potential and promising challenges of satellite data processing and analysing using HPC
paradigms.
Multiple Binary Images Watermarking in Spatial and Frequency Domainssipij
Editing, reproduction and distribution of the digital multimedia are becoming extremely easier and faster with the existence of the internet and the availability of pervasive and powerful multimedia tools. Digital watermarking has emerged as a possible method to tackle these issues. This paper proposes a scheme using which more data can be inserted into an image in different domains using different techniques. This increases the embedding capacity. Using the proposed scheme 24 binary images can be embedded in the DCT domain and 12 binary images can be embedded in the spatial domain using LSB substitution technique in a single RGB image. The proposed scheme also provides an extra level of security to the watermark image by scrambling the image before embedding it into the host image. Experimental results show that the proposed watermarking method results in almost invisible difference between the watermarked image and the original image and is also robust against various image processing attacks.
This document discusses image superresolution techniques in both the spatial and frequency domains. It compares a spatial domain algorithm by Keren et al. to a frequency domain algorithm by Vandewalle et al. for image registration. The spatial domain algorithm more accurately estimates shift and rotation parameters, especially when images contain strong directionality. For image reconstruction, it compares interpolation, iterative backpropagation, and a robust super resolution algorithm. Experimental results show the spatial domain approach works better for the application of image superresolution.
Digital Ortho Image Creation of Hall County Aerial Photos Papermpadams77
Special Topics Project Paper “Digital Ortho Image Creation of Hall County Aerial Photos” which I presented at the Florida Academy of Science and Georgia Academy of Science Joint Conference held in Jacksonville, FL March 14th and 15th of 2008
A Fusion Based Visibility Enhancement of Single Underwater Hazy ImageIJAAS Team
This document summarizes a research paper that proposes a novel method for enhancing the visibility of single underwater images using multimodal discrete wavelet transform (DWT) fusion. The method generates two inputs for the fusion framework by applying contrast enhancement using singular value decomposition and discrete wavelet transform to the hue-saturation-value color space, and color constancy using the shades of gray algorithm. The fused image produced by taking the mean of approximation sub-bands and the maximum of detail sub-bands undergoes further contrast stretching for enhancement. Experimental results demonstrate improved contrast and visibility over other state-of-the-art underwater image enhancement techniques.
Robust High Resolution Image from the Low Resolution Satellite Imageidescitation
In this paper, we propose a framework detecting and locating the land cover
classes from a low-resolution image, which can play a very important role in the satellite
surveillance image from the MODIS data. The lands cover classes by constructing super-
resolution images from the MODIS data. The highest resolution of the MODIS images is 250
meters per pixel. By magnifying and de-blurring the low-resolution satellite image through
the kernel regression. SR reconstruction is image interpolation that has been used to
increase the size of a single image. The SRKR algorithm takes a single low-resolution image
and generates a de-blurred high-resolution image. We perform bi-cubic interpolation on the
input low-resolution image (LR) with a desired scaling factor. Finally, the KR model is then
used to generate the de-blurred HR image. K-means is one of the simplest unsupervised
learning algorithms that solve the well-known clustering problem, which generates a
specific number of disjoint, flat (non-hierarchical) clusters. K-means clustering is employ in
order to compare MODIS data and recognize land cover type, i.e., “Forest”, “Land”, “sea”,
and “Ice”.
IRJET-A Review of Underwater Image Enhancement By Wavelet Decomposition using...IRJET Journal
This document reviews underwater image enhancement techniques using wavelet decomposition implemented on a field programmable gate array (FPGA). It begins with an introduction to the poor quality of underwater images due to light scattering and color distortion. It then discusses prior work on underwater image enhancement using techniques like wavelet fusion and contrast adjustment. The proposed approach involves color correction, contrast enhancement, and multi-scale fusion via wavelet decomposition of the color-corrected and contrast-enhanced images. Low frequency components are fused with weighted averaging while high frequency components use local variance. Experimental results demonstrate this wavelet fusion approach improves underwater image visibility.
This document discusses digital image processing of satellite images. It describes how satellite images are represented digitally as pixels with brightness values. It outlines three main categories of image processing: image rectification and restoration to correct distortions; enhancement to improve visual interpretation; and information extraction to automate feature identification. Specific techniques discussed include image rectification, contrast enhancement, spatial filtering, edge enhancement, and band ratioing. The overall aim is to analyze satellite images both visually and quantitatively.
High Performance Computing for Satellite Image Processing and Analyzing – A ...Editor IJCATR
High Performance Computing (HPC) is the recently developed technology in the field of computer science, which evolved
due to meet increasing demands for processing speed and analysing/processing huge size of data sets. HPC brings together several
technologies such as computer architecture, algorithm, programs and system software under one canopy to solve/handle advanced
complex problems quickly and effectively. It is a crucial element today to gather and process large amount of satellite (remote sensing)
data which is the need of an hour. In this paper, we review recent development in HPC technology (Parallel, Distributed and Cluster
Computing) for satellite data processing and analysing. We attempt to discuss the fundamentals of High Performance Computing
(HPC) for satellite data processing and analysing, in a way which is easy to understand without much previous background. We sketch
the various HPC approach such as Parallel, Distributed & Cluster Computing and subsequent satellite data processing & analysing
methods like geo-referencing, image mosaicking, image classification, image fusion and Morphological/neural approach for hyperspectral satellite data. Collective, these works deliver a snapshot, tables and algorithms of the recent developments in those sectors and
offer a thoughtful perspective of the potential and promising challenges of satellite data processing and analysing using HPC
paradigms.
Multiple Binary Images Watermarking in Spatial and Frequency Domainssipij
Editing, reproduction and distribution of the digital multimedia are becoming extremely easier and faster with the existence of the internet and the availability of pervasive and powerful multimedia tools. Digital watermarking has emerged as a possible method to tackle these issues. This paper proposes a scheme using which more data can be inserted into an image in different domains using different techniques. This increases the embedding capacity. Using the proposed scheme 24 binary images can be embedded in the DCT domain and 12 binary images can be embedded in the spatial domain using LSB substitution technique in a single RGB image. The proposed scheme also provides an extra level of security to the watermark image by scrambling the image before embedding it into the host image. Experimental results show that the proposed watermarking method results in almost invisible difference between the watermarked image and the original image and is also robust against various image processing attacks.
This document discusses image superresolution techniques in both the spatial and frequency domains. It compares a spatial domain algorithm by Keren et al. to a frequency domain algorithm by Vandewalle et al. for image registration. The spatial domain algorithm more accurately estimates shift and rotation parameters, especially when images contain strong directionality. For image reconstruction, it compares interpolation, iterative backpropagation, and a robust super resolution algorithm. Experimental results show the spatial domain approach works better for the application of image superresolution.
IRJET-Underwater Image Enhancement by Wavelet Decomposition using FPGAIRJET Journal
This document describes a method for enhancing underwater images using wavelet decomposition and fusion on an FPGA (field programmable gate array). Underwater images often have low contrast and visibility due to light scattering in water. The proposed method performs color correction and contrast enhancement on an input underwater image. It then decomposes the color-corrected and contrast-enhanced images into low and high frequency components using wavelet transforms. Image fusion is performed on the wavelet coefficients to combine the detailed information from both images. The fused image is reconstructed via inverse wavelet transform. Experimental results show the proposed fusion-based approach improves underwater image visibility. Implementing the algorithm on an FPGA provides benefits over general processors for computationally intensive image processing.
NewAge is a semi-distributed hydrological model that models the whole hydrological cycle, including radiation budget, evapotranspiration, snow modelling, hillslope runoff, runoff aggregation, and flood propagation. It is designed to be fast and easy to use. NewAge represents the topology of hillslopes and the river network as an oriented graph. It performs water and energy budgets for each hillslope based on modified Duffy and Utah Energy Balance models. The model outputs include effective rainfall, radiation, temperature, wind, and snow water equivalent. Case studies applying NewAge to the Passirio and Adige rivers in Italy are presented.
Underwater image enhancement is a challenging task and has gained priority in recent years, as the human eye cannot clearly perceive underwater images. We introduce an effective technique to develop the images captured underwater which are degraded due to the medium scattering and absorption. Our proposed method is a single image approach that does not require specialized hardware or knowledge about the structure of the hardware or underwater conditions. We introduce a new underwater image enhancement approach based on object detection and gamma correction in this paper. In our method, we first obtain the restored image on the base of underwater image model. Then we detect objects using object detection. Finally, the image is gamma corrected. adapted. Experimental results on real world as well as mock underwater images demonstrate that the proposed method is a simplified approach on different underwater scenes and outperforms the existing methods of enhancement. Marshall Mathews | Riya Chummar | Sandra | Ms. R. Sreetha E, S "Underwater Image Enhancement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31467.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31467/underwater-image-enhancement/marshall-mathews
Utilizando la información espectral y visión panorámica mediante la interpretación de imágenes satelitales se puede conocer la superficie, forma y distribución de la cobertura de agua y vomo la arcatan las alteraciones en las componentes vegetal y uso de la tierra de grandes áreas. En el trabajo específico con vegetación son empleadas para describir grandes tipos de comunidades (incluso determinar presencia de especies invasoras), estimar su estado hídrico, fenología, niveles de degradación y tasas de productividad. Basado en imágenes de satélites, en el año 2002 se presentó en Argentina el Primer Inventario de Bosques Nativos, que tuvo como objetivo obtener mapas temáticos de cobertura de uso de la tierra, del estado de los bosques (niveles de aprovechamiento y degradación), indicadores de factores ambientales responsables de la alteración de los recursos hidricos
Vegetation Mapping and Measurement using LiDAR - an Industry Survey by Toby C...Toby Clewett
The document discusses a survey conducted by Toby Clewett to understand industry use of light detection and ranging (LiDAR) technology for vegetation mapping. The survey used a snowball sampling method to gather 157 responses. It aimed to learn about best practices, further the author's research skills, and inform how LiDAR-derived data could support vegetation management from local to regional scales. Respondents said key applications included mapping vegetation structure, wildfires, and floods. While most saw benefits to using metrics like height at finer scales, barriers included data quality, costs, and skills.
1) A field study was conducted in Adventdalen valley, Svalbard to measure active layer thaw depth across ice-wedge polygon networks of varying sizes.
2) Over 120 measurements of active layer depth were taken and GPS coordinates were recorded. A digital elevation model was also constructed.
3) Kriging geostatistical analysis showed active layer was on average 0.41m deep and depth varied somewhat with polygon size, being slightly shallower under larger polygons.
Vegetation cover influences thaw depth but water infiltration into ice wedges may also impact the process.
This document discusses a novel technique for better analysis of ice properties using Kalman filtering. It summarizes previous research on sea ice segmentation using SAR imagery and dual polarization techniques. It proposes using an automated SAR algorithm along with Kalman filtering to more accurately detect sea ice properties from RADARSAT1 and RADARSAT2 imagery data. The document reviews techniques for image segmentation, dual polarization, PMA detection, and related work on sea ice classification using statistical ice properties, edge preserving region models, and object extraction methods.
This document describes a project analyzing the impact of 2 and 4 feet of sea level rise on Broward County, FL land use using GIS. The author used elevation data, land use data, and the raster calculator to determine areas above and below the water levels. Original land use categories were dissolved and converted to raster format. The land use raster was overlaid with the sea level rise rasters to quantify changes. The results found high-rise residential and conservation areas most impacted by 2 feet of rise and almost half the county impacted by 4 feet of rise, showing the area's vulnerability.
PREVENTING COPYRIGHTS INFRINGEMENT OF IMAGES BY WATERMARKING IN TRANSFORM DOM...ijistjournal
1) The document discusses a method for preventing copyright infringement of images using watermarking in the transform domain and a full counter propagation neural network.
2) It aims to encode the host image before watermark embedding to enhance security. The fast and effective full counter propagation neural network then helps successfully embed the watermark without deteriorating the image quality.
3) Previous techniques embedded watermarks directly in images, but the authors find neural network synapses provide a better way to reduce distortion and increase message capacity when embedding watermarks.
Land Cover Feature Extraction using Hybrid Swarm Intelligence Techniques - A ...IDES Editor
This document presents a hybrid algorithm using biogeography-based optimization (BBO) and ant colony optimization (ACO) for land cover feature extraction from remote sensing images. The algorithm first analyzes a training image to identify features that BBO and ACO classify efficiently. It then applies BBO to clusters containing these features and ACO to remaining clusters. An evaluation shows the hybrid algorithm achieves a higher kappa coefficient of 0.97 compared to 0.67 for BBO alone, indicating better classification accuracy. The authors conclude the algorithm effectively handles uncertainties in remote sensing images and future work could improve efficiency further.
Denpasar Sewerage and Its Contribution to MDG Achievement infosanitasi
The document discusses urban sanitation in Denpasar, Indonesia. It provides an overview of the Denpasar Sewerage Development Project (DSDP), which aims to provide sewerage infrastructure to over 400,000 people in Denpasar. The DSDP is being implemented in phases and includes sewer networks, pumping stations, and a wastewater treatment plant. Challenges remain around maximizing connections, tariff collection, operation and maintenance, and expanding services to other areas. Proper management of septic tank sludge and development of on-site sanitation through community programs are also ongoing efforts.
Shallow Water Depth Mapping Using Single Band and Band Ratio on High-Resoluti...Luhur Moekti Prayogo
This document summarizes a study that compares the accuracy of single band and band ratio methods for shallow water depth mapping using Worldview-3 satellite imagery of the Karimunjawa Islands, Indonesia. Depth data was collected via field surveys and corrected for tides. The study found that the band ratio method, specifically the blue/green ratio, produced more accurate depth estimates with a root mean square error of 1.669 meters compared to 2.373 meters for the best single band method. Therefore, the band ratio method is concluded to provide better shallow water depth estimates than the single band method for this study area and image dataset.
Modified adaptive bilateral filter for image contrast enhancementeSAT Publishing House
This paper proposes a two-phase method for removing noise and enhancing image resolution using an adaptive bilateral filter. In the first phase, total variation regularization is used to identify pixels likely contaminated by noise. In the second phase, the image is reconstructed by applying an adaptive technique only to candidate pixels identified for enhancement. Experimental results show the proposed method performs better than median-based filters or edge-preserving regularization methods at preserving texture, details and edges even at high noise levels.
ER Publication,
IJETR, IJMCTR,
Journals,
International Journals,
High Impact Journals,
Monthly Journal,
Good quality Journals,
Research,
Research Papers,
Research Article,
Free Journals, Open access Journals,
erpublication.org,
Engineering Journal,
Science Journals,
This document compares three methods for mapping land cover of Vaderahalli Village, India: analysis of satellite imagery using GIS software MapInfo, analysis of Google Earth images using Google Pro software, and analysis of Google Earth images using MATLAB software. Land cover features mapped included green cover, water bodies, open spaces, paved surfaces and built-up areas. Results from each method were verified on-site using GPS. Analysis with MapInfo using satellite imagery provided the most accurate results but was more expensive and complex. Google Pro analysis was less accurate but simpler and cheaper. MATLAB analysis was least accurate and most complex and time-consuming. Overall, remote sensing with GIS provided the most effective land cover mapping approach.
Image resolution enhancement by using wavelet transform 2IAEME Publication
This document discusses techniques for enhancing the resolution of digital images using wavelet transforms. It proposes a method that uses both stationary wavelet transform (SWT) and discrete wavelet transform (DWT) to decompose an input image into subbands, which are then interpolated using Lanczos interpolation before being combined via inverse DWT. The method is shown to achieve higher peak signal-to-noise ratios than traditional interpolation techniques like bilinear and bicubic interpolation as well as other wavelet-based super resolution methods, demonstrating its effectiveness for image resolution enhancement.
Larry Barone and Gary Martin - Leveraging a Space Agency's View Of Earth To A...Shane Mitchell
NASA collects extensive Earth observation data that can help address societal challenges like climate change. The document proposes public-private partnerships where NASA leverages its Earth science capabilities and critical information systems. NASA would partner with other organizations in new ways to provide data, science, and technologies that can help monitor issues like wildfires and pipelines, provide disaster response support, and gain situational awareness for first responders. These partnerships aim to build on NASA's core capabilities and information systems to generate innovative solutions for societal needs.
IRJET- White Balance and Multi Scale Fusion for under Water Image EnhancementIRJET Journal
This document discusses techniques for enhancing underwater images, including white balance and multi-scale fusion. White balance corrects color by adjusting the red, green, and blue channels based on color depth and regions. Multi-scale fusion focuses on edge detection to retain image details. It applies white balance followed by gamma correction or sharpening, then performs multi-scale fusion to produce an enhanced output image with high quality and minimal complexity using a single input image. The techniques aim to remove blurriness and improve underwater image quality compared to existing methods.
Satellite Image Enhancement Using Dual Tree Complex Wavelet TransformjournalBEEI
Drawback of losing high frequency components suffers the resolution enhancement. In this project, wavelet domain based image resolution enhancement technique using Dual Tree Complex Wavelet Transform (DT-CWT) is proposed for resolution enhancement of the satellite images. Input images are decomposed by using DT-CWT in this proposed enhancement technique. Inverse DT-CWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.
Comparing canopy density measurement from UAV and hemispherical photography: ...IJECEIAES
UAV and hemispherical photography are common methods used in canopy density measurement. These two methods have opposite viewing angles where hemispherical photography measures canopy density upwardly, while UAV captures images downwardly. This study aims to analyze and compare both methods to be used as the input data for canopy density estimation when linked with a lower spatial resolution of remote sensing data i.e. Landsat image. We correlated the field data of canopy density with vegetation indices (NDVI, MSAVI, and AFRI) from Landsat-8. The canopy density values measured from UAV and hemispherical photography displayed a strong relationship with 0.706 coefficient of correlation. Further results showed that both measurements can be used in canopy density estimation using satellite imagery based on their high correlations with Landsat-based vegetation indices. The highest correlation from downward and upward measurement appeared when linked with NDVI with a correlation of 0.962 and 0.652, respectively. Downward measurement using UAV exhibited a higher relationship compared to hemispherical photography. The strong correlation between UAV data and Landsat data is because both are captured from the vertical direction, and 30 m pixel of Landsat is a downscaled image of the aerial photograph. Moreover, field data collection can be easily conducted by deploying drone to cover inaccessible sample plots.
An Efficient Cloud based Approach for Service CrawlingIDES Editor
In this paper, we have designed a crawler that
searches services provided by different clouds connected in a
network. Proposed method provides details of freshness and
age of cloud clusters. Crawler checks each router available in
a network providing services. On basis of search criteria, our
design generates output guiding users for accessing requested
cloud services in efficient manner. We have planned to store
the result in an m-way tree and to use traversal technique for
extraction of specific data from the crawling result. We have
compared the result with other typical search techniques.
A Comparative Study on Direct and Pulsed Current Gas Tungsten Arc Welding of ...IDES Editor
the aim of this article is to evaluate the mechanical
and microstructure properties of Inconel 617 weldments
produced by direct current electrode negative (DCEN) gas
tungsten arc welding (GTAW) and pulse current GTAW. In
this regard, the micro structural examinations, impact test
and hardness test were performed. The results indicated that
the joints produced by direct mode GTAW exhibit poor
mechanical properties due to presence of coarse grains and
dendrites. Grain refining in pulse current GTAW is reason of
higher toughness and impact energy than DCEN GTAW.
Further investigations showed that the epitaxial growth is
existed in both modes that can strongly affect the mechanical
behavior of the joints in heat affected zone (HAZ).
IRJET-Underwater Image Enhancement by Wavelet Decomposition using FPGAIRJET Journal
This document describes a method for enhancing underwater images using wavelet decomposition and fusion on an FPGA (field programmable gate array). Underwater images often have low contrast and visibility due to light scattering in water. The proposed method performs color correction and contrast enhancement on an input underwater image. It then decomposes the color-corrected and contrast-enhanced images into low and high frequency components using wavelet transforms. Image fusion is performed on the wavelet coefficients to combine the detailed information from both images. The fused image is reconstructed via inverse wavelet transform. Experimental results show the proposed fusion-based approach improves underwater image visibility. Implementing the algorithm on an FPGA provides benefits over general processors for computationally intensive image processing.
NewAge is a semi-distributed hydrological model that models the whole hydrological cycle, including radiation budget, evapotranspiration, snow modelling, hillslope runoff, runoff aggregation, and flood propagation. It is designed to be fast and easy to use. NewAge represents the topology of hillslopes and the river network as an oriented graph. It performs water and energy budgets for each hillslope based on modified Duffy and Utah Energy Balance models. The model outputs include effective rainfall, radiation, temperature, wind, and snow water equivalent. Case studies applying NewAge to the Passirio and Adige rivers in Italy are presented.
Underwater image enhancement is a challenging task and has gained priority in recent years, as the human eye cannot clearly perceive underwater images. We introduce an effective technique to develop the images captured underwater which are degraded due to the medium scattering and absorption. Our proposed method is a single image approach that does not require specialized hardware or knowledge about the structure of the hardware or underwater conditions. We introduce a new underwater image enhancement approach based on object detection and gamma correction in this paper. In our method, we first obtain the restored image on the base of underwater image model. Then we detect objects using object detection. Finally, the image is gamma corrected. adapted. Experimental results on real world as well as mock underwater images demonstrate that the proposed method is a simplified approach on different underwater scenes and outperforms the existing methods of enhancement. Marshall Mathews | Riya Chummar | Sandra | Ms. R. Sreetha E, S "Underwater Image Enhancement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31467.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31467/underwater-image-enhancement/marshall-mathews
Utilizando la información espectral y visión panorámica mediante la interpretación de imágenes satelitales se puede conocer la superficie, forma y distribución de la cobertura de agua y vomo la arcatan las alteraciones en las componentes vegetal y uso de la tierra de grandes áreas. En el trabajo específico con vegetación son empleadas para describir grandes tipos de comunidades (incluso determinar presencia de especies invasoras), estimar su estado hídrico, fenología, niveles de degradación y tasas de productividad. Basado en imágenes de satélites, en el año 2002 se presentó en Argentina el Primer Inventario de Bosques Nativos, que tuvo como objetivo obtener mapas temáticos de cobertura de uso de la tierra, del estado de los bosques (niveles de aprovechamiento y degradación), indicadores de factores ambientales responsables de la alteración de los recursos hidricos
Vegetation Mapping and Measurement using LiDAR - an Industry Survey by Toby C...Toby Clewett
The document discusses a survey conducted by Toby Clewett to understand industry use of light detection and ranging (LiDAR) technology for vegetation mapping. The survey used a snowball sampling method to gather 157 responses. It aimed to learn about best practices, further the author's research skills, and inform how LiDAR-derived data could support vegetation management from local to regional scales. Respondents said key applications included mapping vegetation structure, wildfires, and floods. While most saw benefits to using metrics like height at finer scales, barriers included data quality, costs, and skills.
1) A field study was conducted in Adventdalen valley, Svalbard to measure active layer thaw depth across ice-wedge polygon networks of varying sizes.
2) Over 120 measurements of active layer depth were taken and GPS coordinates were recorded. A digital elevation model was also constructed.
3) Kriging geostatistical analysis showed active layer was on average 0.41m deep and depth varied somewhat with polygon size, being slightly shallower under larger polygons.
Vegetation cover influences thaw depth but water infiltration into ice wedges may also impact the process.
This document discusses a novel technique for better analysis of ice properties using Kalman filtering. It summarizes previous research on sea ice segmentation using SAR imagery and dual polarization techniques. It proposes using an automated SAR algorithm along with Kalman filtering to more accurately detect sea ice properties from RADARSAT1 and RADARSAT2 imagery data. The document reviews techniques for image segmentation, dual polarization, PMA detection, and related work on sea ice classification using statistical ice properties, edge preserving region models, and object extraction methods.
This document describes a project analyzing the impact of 2 and 4 feet of sea level rise on Broward County, FL land use using GIS. The author used elevation data, land use data, and the raster calculator to determine areas above and below the water levels. Original land use categories were dissolved and converted to raster format. The land use raster was overlaid with the sea level rise rasters to quantify changes. The results found high-rise residential and conservation areas most impacted by 2 feet of rise and almost half the county impacted by 4 feet of rise, showing the area's vulnerability.
PREVENTING COPYRIGHTS INFRINGEMENT OF IMAGES BY WATERMARKING IN TRANSFORM DOM...ijistjournal
1) The document discusses a method for preventing copyright infringement of images using watermarking in the transform domain and a full counter propagation neural network.
2) It aims to encode the host image before watermark embedding to enhance security. The fast and effective full counter propagation neural network then helps successfully embed the watermark without deteriorating the image quality.
3) Previous techniques embedded watermarks directly in images, but the authors find neural network synapses provide a better way to reduce distortion and increase message capacity when embedding watermarks.
Land Cover Feature Extraction using Hybrid Swarm Intelligence Techniques - A ...IDES Editor
This document presents a hybrid algorithm using biogeography-based optimization (BBO) and ant colony optimization (ACO) for land cover feature extraction from remote sensing images. The algorithm first analyzes a training image to identify features that BBO and ACO classify efficiently. It then applies BBO to clusters containing these features and ACO to remaining clusters. An evaluation shows the hybrid algorithm achieves a higher kappa coefficient of 0.97 compared to 0.67 for BBO alone, indicating better classification accuracy. The authors conclude the algorithm effectively handles uncertainties in remote sensing images and future work could improve efficiency further.
Denpasar Sewerage and Its Contribution to MDG Achievement infosanitasi
The document discusses urban sanitation in Denpasar, Indonesia. It provides an overview of the Denpasar Sewerage Development Project (DSDP), which aims to provide sewerage infrastructure to over 400,000 people in Denpasar. The DSDP is being implemented in phases and includes sewer networks, pumping stations, and a wastewater treatment plant. Challenges remain around maximizing connections, tariff collection, operation and maintenance, and expanding services to other areas. Proper management of septic tank sludge and development of on-site sanitation through community programs are also ongoing efforts.
Shallow Water Depth Mapping Using Single Band and Band Ratio on High-Resoluti...Luhur Moekti Prayogo
This document summarizes a study that compares the accuracy of single band and band ratio methods for shallow water depth mapping using Worldview-3 satellite imagery of the Karimunjawa Islands, Indonesia. Depth data was collected via field surveys and corrected for tides. The study found that the band ratio method, specifically the blue/green ratio, produced more accurate depth estimates with a root mean square error of 1.669 meters compared to 2.373 meters for the best single band method. Therefore, the band ratio method is concluded to provide better shallow water depth estimates than the single band method for this study area and image dataset.
Modified adaptive bilateral filter for image contrast enhancementeSAT Publishing House
This paper proposes a two-phase method for removing noise and enhancing image resolution using an adaptive bilateral filter. In the first phase, total variation regularization is used to identify pixels likely contaminated by noise. In the second phase, the image is reconstructed by applying an adaptive technique only to candidate pixels identified for enhancement. Experimental results show the proposed method performs better than median-based filters or edge-preserving regularization methods at preserving texture, details and edges even at high noise levels.
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This document compares three methods for mapping land cover of Vaderahalli Village, India: analysis of satellite imagery using GIS software MapInfo, analysis of Google Earth images using Google Pro software, and analysis of Google Earth images using MATLAB software. Land cover features mapped included green cover, water bodies, open spaces, paved surfaces and built-up areas. Results from each method were verified on-site using GPS. Analysis with MapInfo using satellite imagery provided the most accurate results but was more expensive and complex. Google Pro analysis was less accurate but simpler and cheaper. MATLAB analysis was least accurate and most complex and time-consuming. Overall, remote sensing with GIS provided the most effective land cover mapping approach.
Image resolution enhancement by using wavelet transform 2IAEME Publication
This document discusses techniques for enhancing the resolution of digital images using wavelet transforms. It proposes a method that uses both stationary wavelet transform (SWT) and discrete wavelet transform (DWT) to decompose an input image into subbands, which are then interpolated using Lanczos interpolation before being combined via inverse DWT. The method is shown to achieve higher peak signal-to-noise ratios than traditional interpolation techniques like bilinear and bicubic interpolation as well as other wavelet-based super resolution methods, demonstrating its effectiveness for image resolution enhancement.
Larry Barone and Gary Martin - Leveraging a Space Agency's View Of Earth To A...Shane Mitchell
NASA collects extensive Earth observation data that can help address societal challenges like climate change. The document proposes public-private partnerships where NASA leverages its Earth science capabilities and critical information systems. NASA would partner with other organizations in new ways to provide data, science, and technologies that can help monitor issues like wildfires and pipelines, provide disaster response support, and gain situational awareness for first responders. These partnerships aim to build on NASA's core capabilities and information systems to generate innovative solutions for societal needs.
IRJET- White Balance and Multi Scale Fusion for under Water Image EnhancementIRJET Journal
This document discusses techniques for enhancing underwater images, including white balance and multi-scale fusion. White balance corrects color by adjusting the red, green, and blue channels based on color depth and regions. Multi-scale fusion focuses on edge detection to retain image details. It applies white balance followed by gamma correction or sharpening, then performs multi-scale fusion to produce an enhanced output image with high quality and minimal complexity using a single input image. The techniques aim to remove blurriness and improve underwater image quality compared to existing methods.
Satellite Image Enhancement Using Dual Tree Complex Wavelet TransformjournalBEEI
Drawback of losing high frequency components suffers the resolution enhancement. In this project, wavelet domain based image resolution enhancement technique using Dual Tree Complex Wavelet Transform (DT-CWT) is proposed for resolution enhancement of the satellite images. Input images are decomposed by using DT-CWT in this proposed enhancement technique. Inverse DT-CWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.
Comparing canopy density measurement from UAV and hemispherical photography: ...IJECEIAES
UAV and hemispherical photography are common methods used in canopy density measurement. These two methods have opposite viewing angles where hemispherical photography measures canopy density upwardly, while UAV captures images downwardly. This study aims to analyze and compare both methods to be used as the input data for canopy density estimation when linked with a lower spatial resolution of remote sensing data i.e. Landsat image. We correlated the field data of canopy density with vegetation indices (NDVI, MSAVI, and AFRI) from Landsat-8. The canopy density values measured from UAV and hemispherical photography displayed a strong relationship with 0.706 coefficient of correlation. Further results showed that both measurements can be used in canopy density estimation using satellite imagery based on their high correlations with Landsat-based vegetation indices. The highest correlation from downward and upward measurement appeared when linked with NDVI with a correlation of 0.962 and 0.652, respectively. Downward measurement using UAV exhibited a higher relationship compared to hemispherical photography. The strong correlation between UAV data and Landsat data is because both are captured from the vertical direction, and 30 m pixel of Landsat is a downscaled image of the aerial photograph. Moreover, field data collection can be easily conducted by deploying drone to cover inaccessible sample plots.
An Efficient Cloud based Approach for Service CrawlingIDES Editor
In this paper, we have designed a crawler that
searches services provided by different clouds connected in a
network. Proposed method provides details of freshness and
age of cloud clusters. Crawler checks each router available in
a network providing services. On basis of search criteria, our
design generates output guiding users for accessing requested
cloud services in efficient manner. We have planned to store
the result in an m-way tree and to use traversal technique for
extraction of specific data from the crawling result. We have
compared the result with other typical search techniques.
A Comparative Study on Direct and Pulsed Current Gas Tungsten Arc Welding of ...IDES Editor
the aim of this article is to evaluate the mechanical
and microstructure properties of Inconel 617 weldments
produced by direct current electrode negative (DCEN) gas
tungsten arc welding (GTAW) and pulse current GTAW. In
this regard, the micro structural examinations, impact test
and hardness test were performed. The results indicated that
the joints produced by direct mode GTAW exhibit poor
mechanical properties due to presence of coarse grains and
dendrites. Grain refining in pulse current GTAW is reason of
higher toughness and impact energy than DCEN GTAW.
Further investigations showed that the epitaxial growth is
existed in both modes that can strongly affect the mechanical
behavior of the joints in heat affected zone (HAZ).
Assessing the alignment between students of the department of secretaryshipAlexander Decker
This document summarizes a study that assessed the alignment between the Secretaryship/Bilingual Secretaryship and Management Studies department at Accra Polytechnic and the labor market in Ghana. The study found that over 55% of respondents did not see shorthand as relevant. It also found that few students get access to organizations for internships. The study recommends reviewing the department's curriculum to better suit the needs of the labor market.
Ontology-based Semantic Approach for Learning Object RecommendationIDES Editor
The main focus of this paper is to apply an ontologybased
approach for semantic learning object recommendation
towards personalized e-learning systems. Ontologies for
learner model, learning objects and semantic mapping rules
are proposed. The recommender can be able to provide
individually learning object by taking the learner preferences
and styles, which used to adjust or fine-tune in learning object
recommending process. In the proposed framework, we
demonstrated how the ontologies can be used to enable
machines to interpret and process learning resources in
recommendation system. The recommendation consists of four
steps: semantic mapping between learner and learning
objects, preference score calculation, learning object ranking
and recommending the learning object. As a result, a
personalized and most suitable learning object is
recommended to the learner.
The document defines the sales culture at NA Sales as valuing high performance from everyone according to 9 core values and 8 principles. It emphasizes attracting and retaining top talent through a commitment to top of market pay. Management aims to create a context of transparency, empowerment and alignment around goals rather than controlling employees. The culture promotes responsibility, innovation and self-discipline from workers through flexibility and freedom balanced with accountability.
Las normas APA son un conjunto de directrices propuestas por la Asociación Estadounidense de Psicología para asegurar una presentación clara y consistente de documentos científicos. Sus reglas cubren tablas, encabezados, citas, ética, estadísticas, formato y redacción. Se aplican a artículos de investigación y trabajos académicos. Las normas APA son las más adoptadas en ciencias sociales y humanas debido a que brindan un formato estandarizado.
ESTIMATION OF DEPTH OF RIVER BY BATHYMETRY OF SATELLITE IMAGESIRJET Journal
This document discusses using satellite imagery to estimate the depth of rivers. It outlines previous work using machine learning techniques like random forest and deep learning to process satellite images and generate bathymetry maps. The methodology section describes preprocessing steps like separating land and water pixels and correcting for light attenuation through the water column. It then explains Lyzenga's method for creating depth-invariant indices using ratios between spectral bands to estimate river depth without requiring water depth measurements. Results found combining high-resolution multispectral imagery with machine learning can generate accurate topographical maps for bathymetry. Future work involves applying these deep learning techniques to real satellite data and improving accuracy.
Using Remote Sensing Techniques For Monitoring Ecological Changes In Lakes: C...IJERA Editor
The ability to use remote sensing in studying lake ecology lies in the capability of satellite sensors to measure
the spectral reflectance of constituents in water bodies. This reflectance can be used to determine the
concentration of the constituents of the water column through mathematical relationships. This work identified a
simple linear equation for estimating suspended matter in Lake Naivasha with reflectance in Landsat7 ETM+
image. A R² = 0.94, n = 6 for suspended matter was obtained. Archive of Landsat imagery was used to
produce maps of suspended matter concentrations in the lake. The suspended matter concentrations at five
different locations in the lake over 30 year’s period were then estimated. It was therefore concluded that the
ecological changes Lake Naivasha is experiencing is the result of the high water abstraction and the effect of
climate change.
Using Remote Sensing Techniques For Monitoring Ecological Changes In Lakes: C...IJERA Editor
The ability to use remote sensing in studying lake ecology lies in the capability of satellite sensors to measure
the spectral reflectance of constituents in water bodies. This reflectance can be used to determine the
concentration of the constituents of the water column through mathematical relationships. This work identified a
simple linear equation for estimating suspended matter in Lake Naivasha with reflectance in Landsat7 ETM+
image. A R² = 0.94, n = 6 for suspended matter was obtained. Archive of Landsat imagery was used to
produce maps of suspended matter concentrations in the lake. The suspended matter concentrations at five
different locations in the lake over 30 year’s period were then estimated. It was therefore concluded that the
ecological changes Lake Naivasha is experiencing is the result of the high water abstraction and the effect of
climate change.
APPLICATION OF REMOTE SENSING AND GIS IN WATER QUALITY ASSESSMENT - REVIEW PAPERDereck Downing
This document reviews the application of remote sensing and GIS techniques for water quality assessment. It discusses how satellite images and models have been used to map parameters like chlorophyll-a, turbidity, and trace organic contamination in surface waters. GIS has allowed for generating groundwater vulnerability maps using the DRASTIC index model and identifying pollution sources by overlaying thematic layers. Regression models have also been developed to predict water quality index values from satellite imagery. In general, the integration of remote sensing data with the visualization and analysis capabilities of GIS provides effective tools for evaluating water resources and aiding decision making around water quality management.
Hydrological mapping of the vegetation using remote sensing productsNycoSat
This document presents a new method for hydrological mapping of vegetation using remote sensing products. The method is based on the Forest Canopy Density model and uses vegetation indexes like Advanced Vegetation Index, Bare Soil Index, and Shadow Index calculated from Landsat TM satellite imagery. These indexes are classified and combined to categorize vegetation into hydrological classes. The method was tested in Upper Tărlung Watershed and showed high correlation with traditional methods, providing an accurate and up-to-date alternative for hydrological mapping.
DUAL-CHANNEL MODEL FOR SHALLOW WATER DEPTH RETRIEVAL FROM WORLDVIEW-3 IMAGERY...Luhur Moekti Prayogo
This research aims to estimate shallow water depth using Worldview 3 satellite imagery and dual-channel models in Karimunjawa waters, Central Java – Indonesia. To build dual-channel models, we used spectral data that had been validated in the field. Twenty-three depth data were recorded synchronous to the spectral data used in forming the semianalytical dual-channel models. Twelve models were tested using 633 depth data with a non-linear model using multiple polynomial regression analysis degrees 1 and 2. This research has shown that the proposed model has been confirmed to improve depth accuracy. Models using blue and green channels of Worldview 3 image result in good accuracies especially for estimating depths with interval from 5 to 20 meters with RMSE of 1,592 meters (5–10 meters), 2,099 meters (10–15 meters), and 1,239 meters (15–20 meters). The wavelengths of two channels have a low absorption rate to penetrate deeper waters than other wavelengths. The research also finds out that there are still models that meet the IHO standard criteria.
study and analysis of hy si data in 400 to 500IJAEMSJORNAL
This document summarizes a research paper that analyzed hyperspectral data in the 400-500nm visible and near infrared (VNIR) spectrum for precision agriculture applications. Specifically:
1) Hyperspectral imagery of the Amravati region of India was classified using maximum likelihood classification to determine soil, water, and vegetation indices. Spectral graphs showed reflectance curves for each.
2) The analysis aims to extract information about the terrain from hyperspectral data in a way that is easily understood. Such data provides more accurate information than multispectral data due to the large number of narrow bands.
3) Supervised classification with maximum likelihood was used to categorize pixels into classes for producing the
Oceanic pictures have poor visibility attributable to various factors; weather disturbance, particles in water, lightweight frames and water movement which results in degraded and low contrast pictures of underwater. Visibility restoration refers to varied ways in which aim to decline and remove the degradation that have occurred whereas the digital image has been obtained. The probabilistic Ant Colony Optimization (ACO) approach is presented to solve the problem of designing an optimal route for hard combinatorial problems. It’s found that almost all of the prevailing researchers have neglected several problems i.e. no technique is correct for various reasonably circumstances. the prevailing strategies have neglected the utilization of hymenopter colony optimization to cut back the noise and uneven illuminate downside. The main objective of this paper is to judge the performance of ANT colony optimization primarily based haze removal over the obtainable MIX-CLAHE (Contrast Limited adaptive histogram Equalization) technique. The experiment has clearly showed the effectiveness of the projected technique over the obtainable strategies.
IRJET - Underwater Object Identification using Matlab and MachineIRJET Journal
This document discusses underwater object identification using MATLAB and machine learning. It begins with an abstract that outlines using image processing techniques like color correction and enhancement to improve underwater image quality and resolution for object detection. The methodology section then describes the process, which includes image acquisition, preprocessing like color conversion and noise removal, feature extraction to determine object type, and using a NodeMCU to send data to the cloud. It tests this approach by capturing images of fish underwater and classifying them by type. The results show enhanced, higher quality images compared to the originals. In conclusion, this method effectively removes color distortions and increases contrast to identify underwater objects using deep learning frameworks.
This document summarizes a study that used a spectral matching algorithm to estimate water optical properties, water depth, and bottom albedo from a WorldView-2 satellite image of coastal waters in Singapore. The algorithm fitted pixel reflectance spectra to a shallow water reflectance model to derive parameters like water depth, bottom composition, and detect submerged vegetation. Estimates of water depth, bottom albedo, and a vegetation index were produced and helped map different coastal habitats beneath the water surface.
IRJET - Prediction of Ground Water Level based on Machine LearningIRJET Journal
1) The document discusses using machine learning algorithms to predict groundwater levels based on factors like rainfall, temperature, and humidity.
2) Models were developed using statistical analysis, random forests, logistic regression, and decision trees to predict daily, weekly and monthly groundwater levels.
3) Field surveys were conducted to collect groundwater level data from observation wells over time. Factor analysis was used to analyze correlations between input parameters and develop predictive models.
This study investigated the impact of variation in soil moisture on Arctic ecosystems by manipulating water tables in a thaw lake basin. Spectral reflectance was used to monitor surface hydrology at different scales. Results showed that near infrared reflectance was most affected by presence of surface water, while blue reflectance was not. A normalized difference surface water index (NDSWI) using blue and near infrared bands strongly correlated with and predicted measured water table depth throughout the growing season. Spatial patterns of elevation, water table depth, and the predictive ability of NDSWI were analyzed across the study area at different scales.
An efficient image segmentation approach through enhanced watershed algorithmAlexander Decker
This document proposes an efficient image segmentation approach combining an enhanced watershed algorithm and color histogram analysis. The watershed algorithm is applied to preprocessed images after merging the results with an enhanced edge detection. Over-segmentation issues are addressed through a post-processing step applying color histogram analysis to each segmented region, improving overall performance. The document provides background on image segmentation techniques, reviews related work applying watershed algorithms, and discusses challenges like over-segmentation that watershed approaches can face.
Water-Body Area Extraction From High Resolution Satellite Images-An Introduct...CSCJournals
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Surveying of water-bodies and delineate its features properly is very first step for any planning, especially for places like India, where the land-cover is dominated by water-bodies. Recording images, such as from satellite, sometimes does not reflect the distinguished characteristics of water with non-water features, e.g. shadows of super structures. Image of water body is confused easily with the shadow of skyscraper, since calm water surface induces mirror reflection when it gives birth to echo wave. Over the past decade, a significant amount of research been conducted to extract the water body information from multi-resolution satellite image. The objective of this paper is to review methodologies applied for water body extraction using satellite remote sensing. First, studies on water body detection are treated. Methodological issues related to the use of these methods were summarized. Results from empirical studies, applying water-body extraction techniques are collected and discussed. Important issues for future research are also identified and discussed.
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...Angelo State University
This document describes the design and initial results of an L-band radiometer mounted on an unmanned aerial vehicle (UAV) for soil moisture monitoring. The radiometer measures antenna temperature with 1.27K resolution. Software processes the raw data, applying calibration and georeferencing to produce soil moisture maps. Initial field tests show the system can distinguish between soil, water and sun glint reflections. The UAV system provides flexibility and high resolution for applications like precision agriculture compared to spaceborne radiometers.
Identification of Groundwater Potential Survey Using QGIS of DBATU campus, Ma...IRJET Journal
This document summarizes a study that used GIS tools to identify potential groundwater zones on the campus of Dr. Babasaheb Ambedkar Technological University in Maharashtra, India. The researchers created various thematic maps of the study area using data on geomorphology, land use/land cover, drainage density, slope, and vectors. Electrical resistivity tests were conducted at three points on campus to determine subsurface rock and water conditions. Point 1 found water-bearing weathered rock from 1-23 meters. Point 2 found water-bearing weathered and fractured rock from 4-26 meters. Point 3 detected only hard, impermeable rock with no water. The study aims to identify suitable locations for future construction
Remote Sensing Method for Flood Management SystemIJMREMJournal
Flood occurred when heavy and continuous rainfall exceeding the absorptive capacity of soil and the flow
capacity of rivers, streams, and coastal areas. Land areas that are most subjected to floods are areas situated
adjacent to rivers and streams, that are known as floodplain and therefore considered as “flood-prone”. These
areas are hazardous to development activities if the vulnerability of those activities exceeds an acceptable level.
The main objectives of this study are; to identify floodplains and other susceptible areas, and to assess the
extent of disaster impact in the study area which is located at Kota Tinggi, Johor, Malaysia. This area
experienced an unprecedented flood during December of 2006 to January of 2007.Questions such as how often
and how long the floodplain will be covered by water, and at what time of year flooding can be expected need to
be answered. Thus, an understanding of the dynamic nature of floodplains is greatly required. Multi-temporal
Radarsat-1images, Landsat ETM+ image, topographical maps and land use maps were used in this study for
the purpose of delineating the flood extend before, during and after the flood event. DEM acquired from
topographic map is used to derive flood depth. The final outputs of this study are flood extent and flood depth
maps where both of these maps show the impact of the flood to environment, lives and properties. This map is
also important and can be applied to develop a comprehensive relief effort immediately after flooding.
- Established in 1990, the company has 57 employees including scientists and engineers across various disciplines. They have offices in Australia, Japan, and the US.
- They have substantial investments in innovation, developing world-leading technologies for smart sensor systems in aquaculture, fisheries acoustics analysis software, and 4D environmental data analysis software.
- Their flagship product, Eonfusion, is a universal software solution for integrating, visualizing, and analyzing diverse environmental data sets in 4D.
APPLICATIONS OF RS AND GIS FOR DEVELOPMENT OF SMALL HYDROPOWER PLANTS (SHP)Abhiram Kanigolla
This document discusses using GIS and remote sensing tools to assess small hydropower potential in a systematic way. It describes how digital elevation models and satellite imagery can be used to map water resources and estimate energy potential from small hydro sites. GIS allows for integration of spatial data layers and rapid evaluation of sites over large areas. Case studies demonstrate how these tools were applied to identify suitable locations for small hydro projects in India and evaluate their technical and economic feasibility in a sustainable manner.
Similar to Graphical User Interface for Benthic Mapping (20)
Power System State Estimation - A ReviewIDES Editor
This document provides a review of power system state estimation techniques. It discusses both static and dynamic state estimation algorithms. For static state estimation, it covers weighted least squares, decoupled, and robust estimation methods. Weighted least squares is commonly used but can have numerical instability issues. Decoupled state estimation approximates the gain matrix for faster computation. Robust estimation uses M-estimators and other techniques to handle outliers and bad data. Dynamic state estimation applies Kalman filtering, leapfrog algorithms, and other methods to continuously monitor system states over time.
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
This document summarizes a research paper that proposes using artificial intelligence techniques and FACTS controllers for reactive power planning in real-time power transmission systems. The paper formulates the reactive power planning problem and incorporates flexible AC transmission system (FACTS) devices like static VAR compensators (SVC), thyristor controlled series capacitors (TCSC), and unified power flow controllers (UPFC). Evolutionary algorithms like evolutionary programming (EP) and differential evolution (DE) are applied to find the optimal locations and settings of the FACTS controllers to minimize losses and costs. Simulation results on IEEE 30-bus and 72-bus Indian test systems show that UPFC performs best in reducing losses compared to SVC and TCSC.
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
Damping of power system oscillations with the help
of proposed optimal Proportional Integral Derivative Power
System Stabilizer (PID-PSS) and Static Var Compensator
(SVC)-based controllers are thoroughly investigated in this
paper. This study presents robust tuning of PID-PSS and
SVC-based controllers using Genetic Algorithms (GA) in
multi machine power systems by considering detailed model
of the generators (model 1.1). The effectiveness of FACTSbased
controllers in general and SVC-based controller in
particular depends upon their proper location. Modal
controllability and observability are used to locate SVC–based
controller. The performance of the proposed controllers is
compared with conventional lead-lag power system stabilizer
(CPSS) and demonstrated on 10 machines, 39 bus New England
test system. Simulation studies show that the proposed genetic
based PID-PSS with SVC based controller provides better
performance.
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
This paper presents the need to operate the power
system economically and with optimum levels of voltages has
further led to an increase in interest in Distributed
Generation. In order to reduce the power losses and to improve
the voltage in the distribution system, distributed generators
(DGs) are connected to load bus. To reduce the total power
losses in the system, the most important process is to identify
the proper location for fixing and sizing of DGs. It presents a
new methodology using a new population based meta heuristic
approach namely Artificial Bee Colony algorithm(ABC) for
the placement of Distributed Generators(DG) in the radial
distribution systems to reduce the real power losses and to
improve the voltage profile, voltage sag mitigation. The power
loss reduction is important factor for utility companies because
it is directly proportional to the company benefits in a
competitive electricity market, while reaching the better power
quality standards is too important as it has vital effect on
customer orientation. In this paper an ABC algorithm is
developed to gain these goals all together. In order to evaluate
sag mitigation capability of the proposed algorithm, voltage
in voltage sensitive buses is investigated. An existing 20KV
network has been chosen as test network and results are
compared with the proposed method in the radial distribution
system.
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
Controlling power flow in modern power systems
can be made more flexible by the use of recent developments
in power electronic and computing control technology. The
Unified Power Flow Controller (UPFC) is a Flexible AC
transmission system (FACTS) device that can control all the
three system variables namely line reactance, magnitude and
phase angle difference of voltage across the line. The UPFC
provides a promising means to control power flow in modern
power systems. Essentially the performance depends on proper
control setting achievable through a power flow analysis
program. This paper presents a reliable method to meet the
requirements by developing a Newton-Raphson based load
flow calculation through which control settings of UPFC can
be determined for the pre-specified power flow between the
lines. The proposed method keeps Newton-Raphson Load Flow
(NRLF) algorithm intact and needs (little modification in the
Jacobian matrix). A MATLAB program has been developed to
calculate the control settings of UPFC and the power flow
between the lines after the load flow is converged. Case studies
have been performed on IEEE 5-bus system and 14-bus system
to show that the proposed method is effective. These studies
indicate that the method maintains the basic NRLF properties
such as fast computational speed, high degree of accuracy and
good convergence rate.
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
The size and shape of opening in dam causes the
stress concentration, it also causes the stress variation in the
rest of the dam cross section. The gravity method of the analysis
does not consider the size of opening and the elastic property
of dam material. Thus the objective of study is comprises of
the Finite Element Method which considers the size of
opening, elastic property of material, and stress distribution
because of geometric discontinuity in cross section of dam.
Stress concentration inside the dam increases with the opening
in dam which results in the failure of dam. Hence it is
necessary to analyses large opening inside the dam. By making
the percentage area of opening constant and varying size and
shape of opening the analysis is carried out. For this purpose
a section of Koyna Dam is considered. Dam is defined as a
plane strain element in FEM, based on geometry and loading
condition. Thus this available information specified our path
of approach to carry out 2D plane strain analysis. The results
obtained are then compared mutually to get most efficient
way of providing large opening in the gravity dam.
Assessing Uncertainty of Pushover Analysis to Geometric ModelingIDES Editor
Pushover Analysis a popular tool for seismic
performance evaluation of existing and new structures and is
nonlinear Static procedure where in monotonically increasing
loads are applied to the structure till the structure is unable
to resist the further load .During the analysis, whatever the
strength of concrete and steel is adopted for analysis of
structure may not be the same when real structure is
constructed and the pushover analysis results are very sensitive
to material model adopted, geometric model adopted, location
of plastic hinges and in general to procedure followed by the
analyzer. In this paper attempt has been made to assess
uncertainty in pushover analysis results by considering user
defined hinges and frame modeled as bare frame and frame
with slab modeled as rigid diaphragm and results compared
with experimental observations. Uncertain parameters
considered includes the strength of concrete, strength of steel
and cover to the reinforcement which are randomly generated
and incorporated into the analysis. The results are then
compared with experimental observations.
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...IDES Editor
This document summarizes and analyzes secure multi-party negotiation protocols for electronic payments in mobile computing. It presents a framework for secure multi-party decision protocols using lightweight implementations. The main focus is on synchronizing security features to avoid agreement manipulation and reduce user traffic. The paper describes negotiation between an auctioneer and bidders, showing multiparty security is better than existing systems. It analyzes the performance of encryption algorithms like ECC, XTR, and RSA for use in the multiparty negotiation protocols.
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
The problems associated with selfish nodes in
MANET are addressed by a collaborative watchdog approach
which reduces the detection time for selfish nodes thereby
improves the performance and accuracy of watchdogs[1]. In
the related works they make use of credit based systems, reputation
based mechanisms, pathrater and watchdog mechanism
to detect such selfish nodes. In this paper we follow an approach
of collaborative watchdog which reduces the detection
time for selfish nodes and also involves the removal of such
selfish nodes based on some progressively assessed thresholds.
The threshold gives the nodes a chance to stop misbehaving
before it is permanently deleted from the network.
The node passes through several isolation processes before it
is permanently removed. Another version of AODV protocol
is used here which allows the simulation of selfish nodes in
NS2 by adding or modifying log files in the protocol.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...IDES Editor
The recent advancements in the wireless technology
and their wide-spread deployment have made remarkable
enhancements in efficiency in the corporate and industrial
and Military sectors The increasing popularity and usage of
wireless technology is creating a need for more secure wireless
Ad hoc networks. This paper aims researched and developed
a new protocol that prevents wormhole attacks on a ad hoc
network. A few existing protocols detect wormhole attacks but
they require highly specialized equipment not found on most
wireless devices. This paper aims to develop a defense against
wormhole attacks as an Anti-worm protocol which is based on
responsive parameters, that does not require as a significant
amount of specialized equipment, trick clock synchronization,
no GPS dependencies.
Cloud Security and Data Integrity with Client Accountability FrameworkIDES Editor
This document summarizes a proposed cloud security and data integrity framework that provides client accountability. The framework aims to address issues like lack of user control over cloud data, need for data transparency and tracking, and ensuring data integrity. It proposes using JAR (Java Archive) files for data sharing due to benefits like portability. The framework incorporates client-side verification using MD5 hashing, digital signature-based authentication of JAR files, and use of HMAC to ensure data integrity. It also uses password-based encryption of log files to keep them tamper-proof. The framework is intended to provide both accountability and security for data sharing in cloud environments.
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetIDES Editor
A System state in HTTP botnet uses HTTP protocol
for the creation of chain of Botnets thereby compromising
other systems. By using HTTP protocol and port number 80,
attacks can not only be hidden but also pass through the
firewall without being detected. The DPR based detection
leads to better analysis of botnet attacks [3]. However, it
provides only probabilistic detection of the attacker and also
time consuming and error prone. This paper proposes a Genetic
algorithm based layered approach for detecting as well as
preventing botnet attacks. The paper reviews p2p firewall
implementation which forms the basis of filtering.
Performance evaluation is done based on precision, F-value
and probability. Layered approach reduces the computation
and overall time requirement [7]. Genetic algorithm promises
a low false positive rate.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
This document summarizes a research paper that proposes a method for enhancing data security in cloud computing through steganography. The method hides user data in digital images stored on cloud servers. When data needs to be accessed, it is extracted from the images. The document outlines the cloud architecture and security issues addressed. It then describes the proposed system architecture, security model, and data storage and retrieval process. Data is partitioned and hidden in multiple images to improve security. The goal is to prevent unauthorized access to user data stored on cloud servers.
The main tasks of a Wireless Sensor Network
(WSN) are data collection from its nodes and communication
of this data to the base station (BS). The protocols used for
communication among the WSN nodes and between the WSN
and the BS, must consider the resource constraints of nodes,
battery energy, computational capabilities and memory. The
WSN applications involve unattended operation of the network
over an extended period of time. In order to extend the lifetime
of a WSN, efficient routing protocols need to be adopted. The
proposed low power routing protocol based on tree-based
network structure reliably forwards the measured data towards
the BS using TDMA. An energy consumption analysis of the
WSN making use of this protocol is also carried out. It is
found that the network is energy efficient with an average
duty cycle of 0:7% for the WSN nodes. The OmNET++
simulation platform along with MiXiM framework is made
use of.
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...IDES Editor
The security of authentication of internet based
co-banking services should not be susceptible to high risks.
The passwords are highly vulnerable to virus attacks due to
the lack of high end embedding of security methods. In order
for the passwords to be more secure, people are generally
compelled to select jumbled up character based passwords
which are not only less memorable but are also equally prone
to insecurity. Multiple use of distributed shares has been
studied to solve the problem of authentication by algorithms
based on thresholding of pixels in image processing and visual
cryptography concepts where the subset of shares is considered
for the recovery of the original image for authentication using
correlation function[1][2].The main disadvantage in the above
study is the plain storage of shares and also one of the shares
is being supplied to the customer, which will lead to the
possibility of misuse by a third party. This paper proposes a
technique for scrambling of pixels by key based random
permutation (KBRP) within the shares before the
authentication has been attempted. Total number of shares to
be created is dependent on the multiplicity of ownership of
the account. By this method the problem of uncertainty among
the customers with regard to security, storage, retrieval of
holding of half of the shares is minimized.
This paper presents a trifocal Rotman Lens Design
approach. The effects of focal ratio and element spacing on
the performance of Rotman Lens are described. A three beam
prototype feeding 4 element antenna array working in L-band
has been simulated using RLD v1.7 software. Simulated
results show that the simulated lens has a return loss of –
12.4dB at 1.8GHz. Beam to array port phase error variation
with change in the focal ratio and element spacing has also
been investigated.
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesIDES Editor
Hyperspectral images can be efficiently compressed
through a linear predictive model, as for example the one
used in the SLSQ algorithm. In this paper we exploit this
predictive model on the AVIRIS images by individuating,
through an off-line approach, a common subset of bands, which
are not spectrally related with any other bands. These bands
are not useful as prediction reference for the SLSQ 3-D
predictive model and we need to encode them via other
prediction strategies which consider only spatial correlation.
We have obtained this subset by clustering the AVIRIS bands
via the clustering by compression approach. The main result
of this paper is the list of the bands, not related with the
others, for AVIRIS images. The clustering trees obtained for
AVIRIS and the relationship among bands they depict is also
an interesting starting point for future research.
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...IDES Editor
A microelectronic circuit of block-elements
functionally analogous to two hydrogen bonding networks is
investigated. The hydrogen bonding networks are extracted
from â-lactamase protein and are formed in its active site.
Each hydrogen bond of the network is described in equivalent
electrical circuit by three or four-terminal block-element.
Each block-element is coded in Matlab. Static and dynamic
analyses are performed. The resultant microelectronic circuit
analogous to the hydrogen bonding network operates as
current mirror, sine pulse source, triangular pulse source as
well as signal modulator.
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...IDES Editor
In this paper a method is proposed to discriminate
real world scenes in to natural and manmade scenes of similar
depth. Global-roughness of a scene image varies as a function
of image-depth. Increase in image depth leads to increase in
roughness in manmade scenes; on the contrary natural scenes
exhibit smooth behavior at higher image depth. This particular
arrangement of pixels in scene structure can be well explained
by local texture information in a pixel and its neighborhood.
Our proposed method analyses local texture information of a
scene image using texture unit matrix. For final classification
we have used both supervised and unsupervised learning using
K-Nearest Neighbor classifier (KNN) and Self Organizing
Map (SOM) respectively. This technique is useful for online
classification due to very less computational complexity.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.