The document describes two main methods to correct predicted dye concentrations in color matching:
1. Numerical increments - increasing each dye concentration by 1% successively and recalculating color coordinates.
2. Using differentiation of reflectance - leveraging the differentiation of target and standard reflectance to quickly reach the correct recipe with minimal iterations.
It also outlines the general steps to predict dye concentrations which include measuring standard and substrate reflectance, calculating Kubelka-Munk functions, identifying dye properties, forming equations to solve for concentrations, calculating color differences, and applying corrections if needed.
Combination drugs containing Paracetamol and Aspirin, displayed in Figure 1, are widely used analgesics with anti-inflammatory properties for treatment of migraines. Both active ingredients have a similar mode of action, whereby they inhibit the cyclooxygenase (COX) enzyme, by preventing the production of prostaglandins which cause pain, inflammation, and fever. UV/Vis spectrometry is a fast and commonly used technique in quality control laboratories for routine analysis of purity and quantity of components within various stages of a product’s manufacture in many industries.
Combination drugs containing Paracetamol and Aspirin, displayed in Figure 1, are widely used analgesics with anti-inflammatory properties for treatment of migraines. Both active ingredients have a similar mode of action, whereby they inhibit the cyclooxygenase (COX) enzyme, by preventing the production of prostaglandins which cause pain, inflammation, and fever. UV/Vis spectrometry is a fast and commonly used technique in quality control laboratories for routine analysis of purity and quantity of components within various stages of a product’s manufacture in many industries.
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...iosrphr_editor
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research paper publishing, where to publish research paper, journal publishing, how to publish research paper, Call for research paper, international journal, publishing a paper, call for paper 2012, journal of pharmacy, how to get a research paper published, publishing a paper, publishing of journal, research and review articles, Pharmacy journal, International Journal of Pharmacy, hard copy of journal, hard copy of certificates, online Submission, where to publish research paper, journal publishing, international journal, publishing a paper
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Color fastness properties of different reactive dyesAzmir Latif Beg
In knitwear industry, dyeing of cotton knitted fabrics is mostly done with reactive dyes, because of their good fastness properties and versatility of applications. The ease of application, wide shade range, high brilliancy and excellent wet fastness properties make the reactive dyes preferred choice for the dyeing of cellulosic fabrics. The most important characteristic of reactive dyes is the formation of covalent bonds with the substrate to be colored, i.e. the dye forms a chemical bond with cellulose. Fiber reactive dyes are the most permanent of all dye types. Unlike other dyes, it actually forms a covalent bond with the cellulose or protein molecule. Once the bond is formed, what you have is one molecule, as the dye molecule has become an actual part of the cellulose fiber molecule.
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...iosrphr_editor
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research paper publishing, where to publish research paper, journal publishing, how to publish research paper, Call for research paper, international journal, publishing a paper, call for paper 2012, journal of pharmacy, how to get a research paper published, publishing a paper, publishing of journal, research and review articles, Pharmacy journal, International Journal of Pharmacy, hard copy of journal, hard copy of certificates, online Submission, where to publish research paper, journal publishing, international journal, publishing a paper
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Color fastness properties of different reactive dyesAzmir Latif Beg
In knitwear industry, dyeing of cotton knitted fabrics is mostly done with reactive dyes, because of their good fastness properties and versatility of applications. The ease of application, wide shade range, high brilliancy and excellent wet fastness properties make the reactive dyes preferred choice for the dyeing of cellulosic fabrics. The most important characteristic of reactive dyes is the formation of covalent bonds with the substrate to be colored, i.e. the dye forms a chemical bond with cellulose. Fiber reactive dyes are the most permanent of all dye types. Unlike other dyes, it actually forms a covalent bond with the cellulose or protein molecule. Once the bond is formed, what you have is one molecule, as the dye molecule has become an actual part of the cellulose fiber molecule.
Flat knitting is a method for producing knitted fabrics in which the work is turned periodically, i.e., the fabric is worked with alternating sides facing the knitter. A "Flat" or Vee Bed knitting machine consists of 2 flat needle beds arranged in an upside-down "V" formation.
Bangladesh is a developing country.80% of export comes from the Garments industry. Bangladesh became the second largest apparel exporting country in the world. Around 20 million people from the total 156 million population are directly and indirectly depending on this sector for their immediate livelihoods. Majority of the garments products are sold in US & European markets. Therefore, this industry needs deatail quality and regulatory assessment. Bangladesh has set a vision to reach $50 billion of RMG exports by 2021. the export figures are increasing in almost every month.At KNIT CONCERN LTD., cutting-edge technologies merge seamlessly with human ingenuity and deep seat recommitment to ensure excellence in every stage and area of their activities. From fiber to fabric, KNIT CONCERN LTD is truly integrated undertaking. The KNIT CONCERN LTD. has the capability to offer a complete product range for the export textile markets. The goal of KNIT CONCERN LTD. is to become the preferred partner for sourcing high quality fabrics and clothing from Bangladesh With highly advanced technology and an emphasis on developing local human resources. KNIT CONCERN LTD has the potential to make an important contribution to the nation's growing ready-made garments export sector.The factory is one of the most modern export oriented knit composite in Bangladesh Though it was established only a few year's ago ,it has earned " very good reputations " .I am AZMIR LATIF learn lot of practical knowledge from Knit Concern floor.Only knit concern first launch yarn printing in Bangladesh.
Multiscale Gradient Based – Directional CFA Interpolation with RefinementIJTET Journal
Abstract—Single sensor digital cameras capture only one color value for every pixel location. The process of reconstructing a full color image from these incomplete color samples output from an image sensor overlaid with a color filter array (CFA) is called demosaicing or Color Filter Array (CFA) interpolation. The most commonly used CFA configuration is the Bayer filter. The proposed demosaicing method makes use of multiscale color gradients to adaptively combine color difference estimates from horizontal and vertical directions and determine the contribution of each direction to the green channel interpolation. This method does not require any thresholds and is non iterative. The red and blue channels are then refined using structural approximation.
Nowadays digital cameras are equipped with a
single sensor (CCD/CMOS), to reduce the size and cost of the
camera. The color filter array (CFA) is used to cover the sensor
and it consist of three primary colors such as red, green and blue
and it samples only one color component at each pixel location.
The process of estimating the other two missing color components
at each pixel location is known as demosaicing. The proposed
algorithm uses the directional color difference and multiscale
gradient method for green plane interpolation, this type of
interpolation method is used to reduce the artifacts and improve
the image quality. The red and blue plane are interpolated using
the estimated green plane, the bayer pattern is used for the
interpolation technique. The performance of the image is
measured using the CPSNR value
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUEprj_publication
Colorization is a method that adds color components to a gray scale image using only
a few representative pixels (RP) by the user. A novel approach to image compression called
colorization-based coding is being done. It automatically extracts representative pixels from
an original color image at an encoder and restores a full color image by using colorization at
the decoder. However past studies on colorization based coding obtain redundant
representative pixels and do not remove the pixels required for suppressing coding errors.
The main issue in colorization based coding is how to extract representative pixels (RP) so
that compression rate is high and the reconstructed images have good visual quality. In this
work we formulate the colorization based coding into an optimization problem i.e., an
minimization problem. We use the colorization matrix that colorizes the image in a multi
scale manner and this is combined with RP extraction method allows us to choose a very
small set of RP. Simulation results revealed that implemented method compress the color
image with higher compression rate and has good quality and is comparable to conventional
JPEG standard.
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...ijiert bestjournal
This paper presents an experimental evaluation of t he effectiveness of various techniques for lossless compression of CFA images. A colour image requires at least three colour samples at each pixel location. A digital camera would need th ree separate sensors to completely measure the image. In a three chip colour camera,the light entering the camera is split and projected onto each spectral sensor. Each sensor requires its prop er driving electronics,and the sensors have to be registered precisely. These additional requireme nts add a large expense to the system. Thus most commercial digital cameras use colour filterar rays to sample red,green,and blue colours according to a specificpattern. At the location of each pixel only one colour sample istaken and the values of the other colours must be interpolate d usingneighbouring samples. This colour plane interpolation is knownas demosaicing.Demosaic ing is generally carried out before compression.Recently,it was found that compression first schemes outperform the conventional demosaicing first schemes in terms of output image quality.An efficient prediction based lossless compression scheme for Bayer CFA images is proposed in this paper. It exploits a context matching technique to rank the neighboring pixels w hen predicting a pixel,an adaptive colour difference estimation scheme to remove the colour s pectral redundancy when handling red and blue samples,and an adaptive code word generation technique. Simulation results show the comparison of different coding scheme in terms of compression ratio.
Sparsity Based Super Resolution Using Color Channel ConstraintsHojjat Seyed Mousavi
Sparsity constrained single image super-resolution (SR) has been of much recent interest. A typical approach involves sparsely representing patches in a low-resolution (LR) input image via a dictionary of example LR patches, and then using the coefficients of this representation to generate the high-resolution (HR) output via an analogous HR dictionary. However, most existing sparse representation methods for super resolution focus on the luminance channel information and do not capture interactions between color channels. In this work, we extend sparsity based super-resolution to multiple color channels by taking color information into account. Edge similarities amongst RGB color bands are exploited as cross channel correlation constraints. These additional constraints lead to a new optimization problem which is not easily solvable; however, a tractable solution is proposed to solve it efficiently. Moreover, to fully exploit the complementary information among color channels, a dictionary learning method is also proposed specifically to learn color dictionaries that encourage edge similarities. Merits of the proposed method over state of the art are demonstrated both visually and quantitatively using image quality metrics.
With the improvements in Image acquisition systems there is an increasing concentration in the direction of
High Dynamic Range (HDR) images where the amount of intensity levels varies among 2 to 10,000. With these
numerous intensity levels the exact representation of luminance variations is entirely possible. But, because the
normal display devices are shaped to exhibit Low Dynamic Range (LDR) images, there is necessary to translate
HDR images to LDR images without down significant image structures in HDR images. In this paper four TMOs
like Reinhard, Gamma and color correction TMOs are evaluated .In this paper two novel TMOs are projected.
Keywords — HDR, LDR, Tone mapping, Gamma correction.
Correction of Saturated Regions in RGB Color Space ijcga
In a digital image, color representation of a digital image sensor is limited to a narrow dynamic range. Especially, when extremely bright light is captured, the original color of a scene is saturated to the maximum value, up to which a digital image sensor can represent the color. This paper proposes an algorithm that corrects the color in a saturated region, where the original color is distorted and lost. For natural correction, i.e., to minimize the artifacts near the boundary of a saturated region, the proposed method uses the weighted sum of color value(s) in the saturated color channel(s) of neighborhood of saturated regions. In determining the weight of each pixel, saturation, hue, and color values are used with the certainty map. Using the certainty map, the proposed method can reliably distinguish the unsaturated and already desaturated neighboring pixels from the remaining pixels. Then, the proposed correction method computes the weight function using saturation, hue, and color values. Therefore, the proposed algorithm can get reliable corrected colors. Comparison of experimental results of the proposed and existing correction methods shows the effectiveness of the proposed saturated region correction method in the view of natural color restoration.
Correction of Saturated Regions in RGB Color Space ijcga
In a digital image, color representation of a digital image sensor is limited to a narrow dynamic range.
Especially, when extremely bright light is captured, the original color of a scene is saturated to the
maximum value, up to which a digital image sensor can represent the color. This paper proposes an
algorithm that corrects the color in a saturated region, where the original color is distorted and lost. For
natural correction, i.e., to minimize the artifacts near the boundary of a saturated region, the proposed
method uses the weighted sum of color value(s) in the saturated color channel(s) of neighborhood of
saturated regions. In determining the weight of each pixel, saturation, hue, and color values are used with
the certainty map. Using the certainty map, the proposed method can reliably distinguish the unsaturated
and already desaturated neighboring pixels from the remaining pixels. Then, the proposed correction
method computes the weight function using saturation, hue, and color values. Therefore, the proposed
algorithm can get reliable corrected colors. Comparison of experimental results of the proposed and
existing correction methods shows the effectiveness of the proposed saturated region correction method in
the view of natural color restoration.
Computer Vision: Feature matching with RANSAC Algorithmallyn joy calcaben
Computer Vision: Feature matching with RANdom SAmple Consensus Algorithm
CMSC197.1 Introduction to Computer Vision
April 2018
by: Allyn Joy Calcaben, Jemwel Autor, & Jefferson Butch Obero
University of the Philippines Visayas
Similar to 8. computer colour matching steps to predict concentration (20)
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
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The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
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Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
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(C) 2024 Robbie E. Sayers
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2. Correction to predicted Recipe
• The correction can be applied in different ways. The important methods are:
• i. numerical increments in connection of each dye
• ii. correction by using the differential of K-M function of standard color
w.r.t. Reflectance
A. Numerical increments in connection of each dye
• In this method the concentration of dyes are increased by 1% of computed
concentration successively for each dye and tristimulus values are computed
each time using 16 equations
• sample Concentration Color coordinate’s
• Standard - Xt Yt Zt
• fiber program C1 C2 C3 X0 Y0
• predated c2 c3X1 Y1 Z1
• Predated C1 c2+0.01c2 c3 X2 Y2 Z2
• Predated C1 c2 c3+0.01c3 X3 Y3 Z3
3. B. Using of differentiation of Reflectance
The differentiation of reflectance of the target and standard provides a method
to reach to correct recipe with minimum iterations.
Color Matching Using Sixteen Points Reflectance Data
The Present computational mentods use 16 wavelengths data for determining
color recipe for a given shade. CHE color parameters of customer standard are
determined by its spectral rteckeetance values, which in turn depend on
concentration of each dye for three dyes combination we have:
• X = F2 (c1,c2,c3)
• Y = F2(c1,c2,C3)
• Z= F3 (c1,c2,c3)
• Where:
• F1,F2,F3 are non –linear functions of dyestuff concentrations
• The linearization of equations result inherent inaccuracies, and therefore
concentration computed ar first retail will have more of less errop. The first
solution can be improved by iteration method. Thus even for 16-point
computations the determnunations of color recipe are carried out in two ways
– Determination of initial recipe
– Improvement solution by iteration
4. Read XYZ of standard & data for
dyes & substrates
Select appropriate combinations of dyes
Negative concentration or out side tolerance?
Calculate reflectance curve and XYZ of sample
Compare XYZ of standard ,close enough
Calculate
Correction to
concentration
Calculate color difference for different illuminants, metamersim, cost of dyes.
Calculation is made for all possible combinations from selected dyes?
Print out results
Steps to Predict Concentration
5. A/ 1. Measure reflectance of target standard
2. Measure reflectance of subs trace
3. Calculate K .M Function of Standard
4. Calculate K.M function of subs tract
B/ Take optical data of three dyes for calculating recipe at 16 wavelengths
C/ 1. Identify Smax and (K/S/ Max, and f(Rframex path) mx surs.
2. Represent K.M function with variables for both standard and subs tract
3. Form a mate
4. Solve c1,C2$C3
D/ 1. Calculate K.M function of the sample ( dye mixture ) a 16 wake length data
2. calculate Refraction of the sample ( dye mixture) a 16 wow length data
E/ 1. Calculate Tristumalus malue of standard
2. calculate Tristimulus value of dye mixture ( sample)
F/ 1. Apply color Difference formula
2. Indicate the lightless, red greenness & Blue yellow CASs of the sample
3. Take correction
4. fist give over covert ion
Steps to Predict Concentration
6. A/ 1. Measure reflectance of target standard
2. Measure reflectance of subs trace
3. Calculate K .M Function of Standard
4. Calculate K.M function of subs tract
B/ Take optical data of three dyes for calculating recipe at 16 wavelengths
C/ 1. Identify Smax and (K/S/ Max, and f(Rframex path) mx surs.
2. Represent K.M function with variables for both standard and subs tract
3. Form a mate
4. Solve c1,C2$C3
D/ 1. Calculate K.M function of the sample ( dye mixture ) a 16 wake length data
2. calculate Refraction of the sample ( dye mixture) a 16 wow length data
E/ 1. Calculate Tristumalus malue of standard
2. calculate Tristimulus value of dye mixture ( sample)
F/ 1. Apply color Difference formula
2. Indicate the lightless, red greenness & Blue yellow CASs of the sample
3. Take correction
4. fist give over covert ion
Steps to Predict Concentration