Computerised coloring machine NIFT
•Download as PPTX, PDF•
3 likes•962 views
The document discusses color matching systems used in computer systems. It describes how color is perceived by the human eye and influenced by light, objects, and surroundings. It then explains several color order systems used historically like Ostwald and Munsell to define and communicate color. The CIE (Commission Internationale de l'Eclairage) color system from 1928 is now the international standard used in color industries. The document outlines the components and modules of a computer color matching system, which uses spectrophotometry and software to efficiently formulate colors, standardize processes, and provide quality control for industries.
Report
Share
Report
Share
Recommended
Visual Impression Localization of Autonomous Robots_#CASE2015
The document proposes a method for visual localization of autonomous robots using color histogram-based clustering feature (CF) trees. The method extends previous work on an autonomous mobile robot that models color information using online clustering. It solves the localization problem by comparing the robot's CF tree built incrementally from observed data to reference CF trees constructed from model data in different areas. The comparison uses an all common subsequence measure between paths in the trees. Experiments show the method can localize the robot in different environments and lighting conditions in under 550 milliseconds using a desktop PC. Future work will investigate more robust features and improving color-based features' stability to illumination changes.
Triangle assignment
The document discusses options for locating a new stadium in the Research Triangle region of North Carolina, which includes the cities of Raleigh, Durham, and Chapel Hill.
Option 1 would place the stadium the same distance from each city, requiring new highways to be built from each city to the stadium. Option 2 would place the stadium equidistant from the existing highways, requiring resurfacing of the existing highways and building new connector highways.
Using a digital geometry environment (DGE) to analyze the options, the responder determined that Option 2 would be cheaper, costing an estimated $7.73 million compared to $9.57 million for Option 1.
NYAI - Understanding Music Through Machine Learning by Brian McFee
Understanding Music Through Machine Learning - (Brian McFee, Moore-Sloan Fellow at New York University's Center for Data Science)
Brian McFee is a Moore-Sloan Fellow at New York University's Center for Data Science. He received a B.S. degree in Computer Science from the University of California, Santa Cruz in 2003, and Ph.D. in Computer Science and Engineering from the University of California, San Diego in 2012. His work touches on various topics at the intersection of machine learning, information retrieval, and audio analysis. He is a contributor to various open source projects, and a principal developer of the librosa package for music analysis in Python.
Brian will talk about how we can understand music through machine learning. Music signals share much in common with other high-dimensional data domains (e.g., images or speech), but the domain also imposes unique constraints which can inform the problem formulations and be exploited during the modeling process. In this talk, he will give two examples of recent work on statistical musical analysis: structure analysis and instrument recognition. He will provide pointers to data sets and open source implementations wherever possible.
ICPR2014-Poster
This document proposes a 3D deconvolution method for wide field fluorescence microscopy images using sparse image priors. It uses a maximum a posteriori approach with two priors: 1) a global hyper-laplacian prior to preserve edges, and 2) a local smooth mask to suppress ringing artifacts. The method is tested on synthetic and real zebrafish embryo images, outperforming total variation and Tikhonov regularization in reducing blur and artifacts.
Geometry, Topology, and all of Your Wildest Dreams Will Come True
In this light talk, I give a high level view of some of my recent research in using ideas from mesh generation to lower the complexity of computing persistent homology in geomemtric settings.
Because this talk is for a general audience, I will focus on three related applications (where related is interpreted loosely) that I think have the widest appeal.
The applications are:
1. Winning Nobel Peace Prizes
2.Winning Olympic Gold Medals
3.Finding True Love
Color matching cabinet
1. The document describes a color matching cabinet used to evaluate color under different light sources and ensure accurate color matching.
2. It contains 6 standard lights including daylight, tungsten, fluorescent, and ultraviolet lights. Samples are viewed under each light to detect any differences caused by the phenomenon of metamerism.
3. The cabinet adheres to international standards for color assessment and is suitable for industries involving fabric dyeing, garment manufacturing, and other color-critical applications.
Textile & dyeing
For meeting the demand of 21th Century we need many qualified Textile Engineer but in our perspective there are two types of Textile Engineer one is more qualified another is more frantic about their position. No Frustration because you are the right key to touch your success. Don’t draw your life map with pen but pencil (because pencil is erasable). Let bygones be bygones & go ahead with our future as if it will be keep in touch. Make a whistle with vivacious life & vivid future.
Color matching painting assignments
These are my color matching assignments. I teach students how to mix a color and then paint it on their reference which is laminated, covered in acetate, or covered in clear packing tape to ensure that their mixture is the same color as their reference. There are three assignments and they get to choose one to pursue.
Recommended
Visual Impression Localization of Autonomous Robots_#CASE2015
The document proposes a method for visual localization of autonomous robots using color histogram-based clustering feature (CF) trees. The method extends previous work on an autonomous mobile robot that models color information using online clustering. It solves the localization problem by comparing the robot's CF tree built incrementally from observed data to reference CF trees constructed from model data in different areas. The comparison uses an all common subsequence measure between paths in the trees. Experiments show the method can localize the robot in different environments and lighting conditions in under 550 milliseconds using a desktop PC. Future work will investigate more robust features and improving color-based features' stability to illumination changes.
Triangle assignment
The document discusses options for locating a new stadium in the Research Triangle region of North Carolina, which includes the cities of Raleigh, Durham, and Chapel Hill.
Option 1 would place the stadium the same distance from each city, requiring new highways to be built from each city to the stadium. Option 2 would place the stadium equidistant from the existing highways, requiring resurfacing of the existing highways and building new connector highways.
Using a digital geometry environment (DGE) to analyze the options, the responder determined that Option 2 would be cheaper, costing an estimated $7.73 million compared to $9.57 million for Option 1.
NYAI - Understanding Music Through Machine Learning by Brian McFee
Understanding Music Through Machine Learning - (Brian McFee, Moore-Sloan Fellow at New York University's Center for Data Science)
Brian McFee is a Moore-Sloan Fellow at New York University's Center for Data Science. He received a B.S. degree in Computer Science from the University of California, Santa Cruz in 2003, and Ph.D. in Computer Science and Engineering from the University of California, San Diego in 2012. His work touches on various topics at the intersection of machine learning, information retrieval, and audio analysis. He is a contributor to various open source projects, and a principal developer of the librosa package for music analysis in Python.
Brian will talk about how we can understand music through machine learning. Music signals share much in common with other high-dimensional data domains (e.g., images or speech), but the domain also imposes unique constraints which can inform the problem formulations and be exploited during the modeling process. In this talk, he will give two examples of recent work on statistical musical analysis: structure analysis and instrument recognition. He will provide pointers to data sets and open source implementations wherever possible.
ICPR2014-Poster
This document proposes a 3D deconvolution method for wide field fluorescence microscopy images using sparse image priors. It uses a maximum a posteriori approach with two priors: 1) a global hyper-laplacian prior to preserve edges, and 2) a local smooth mask to suppress ringing artifacts. The method is tested on synthetic and real zebrafish embryo images, outperforming total variation and Tikhonov regularization in reducing blur and artifacts.
Geometry, Topology, and all of Your Wildest Dreams Will Come True
In this light talk, I give a high level view of some of my recent research in using ideas from mesh generation to lower the complexity of computing persistent homology in geomemtric settings.
Because this talk is for a general audience, I will focus on three related applications (where related is interpreted loosely) that I think have the widest appeal.
The applications are:
1. Winning Nobel Peace Prizes
2.Winning Olympic Gold Medals
3.Finding True Love
Color matching cabinet
1. The document describes a color matching cabinet used to evaluate color under different light sources and ensure accurate color matching.
2. It contains 6 standard lights including daylight, tungsten, fluorescent, and ultraviolet lights. Samples are viewed under each light to detect any differences caused by the phenomenon of metamerism.
3. The cabinet adheres to international standards for color assessment and is suitable for industries involving fabric dyeing, garment manufacturing, and other color-critical applications.
Textile & dyeing
For meeting the demand of 21th Century we need many qualified Textile Engineer but in our perspective there are two types of Textile Engineer one is more qualified another is more frantic about their position. No Frustration because you are the right key to touch your success. Don’t draw your life map with pen but pencil (because pencil is erasable). Let bygones be bygones & go ahead with our future as if it will be keep in touch. Make a whistle with vivacious life & vivid future.
Color matching painting assignments
These are my color matching assignments. I teach students how to mix a color and then paint it on their reference which is laminated, covered in acetate, or covered in clear packing tape to ensure that their mixture is the same color as their reference. There are three assignments and they get to choose one to pursue.
Computer Generated Watercolor
This document summarizes a 1997 paper on computer-generated watercolor painting. It describes how the paper simulates watercolor effects like flow, granulation and edge darkening through fluid simulation and applies the Kubelka-Munk model for optical rendering. Applications include interactive painting, watercolorizing photos, and applying effects to 3D models. While making assumptions, the model effectively captures watercolor's appearance for artistic purposes. Future work could explore additional effects and animation capabilities.
Color theory
Color theory involves the color wheel, primary colors (red, yellow, blue), secondary colors (green, orange, purple), and tertiary colors. Color harmony refers to pleasing color combinations and is influenced by analogous colors (next to each other on the wheel), complements (opposite each other), and nature. Color has natural associations based on nature and cultural/psychological associations that can be positive or negative. How color is perceived depends on factors like context, quantity, shape, and combinations with other colors.
Displays and color system in computer graphics(Computer graphics tutorials)
Displays and color system in computer graphics(Computer graphics tutorials)Daroko blog(www.professionalbloggertricks.com)
Do Not just learn computer graphics an close your computer tab and go away..
APPLY them in real business,
Visit Daroko blog for real IT skills applications,androind, Computer graphics,Networking,Programming,IT jobs Types, IT news and applications,blogging,Builing a website, IT companies and how you can form yours, Technology news and very many More IT related subject.
-simply google:Daroko blog(professionalbloggertricks.com)
• Daroko blog (www.professionalbloggertricks.com)
• Presentation by Daroko blog, to see More tutorials more than this one here, Daroko blog has all tutorials related with IT course, simply visit the site by simply Entering the phrase Daroko blog (www.professionalbloggertricks.com) to search engines such as Google or yahoo!, learn some Blogging, affiliate marketing ,and ways of making Money with the computer graphic Applications(it is useless to learn all these tutorials when you can apply them as a student you know),also learn where you can apply all IT skills in a real Business Environment after learning Graphics another computer realate courses.ly
• Be practically real, not just academic reader
Colour matching and colour theory
This document discusses colour matching and colour theory as it relates to injection moulding. It begins by introducing colour measurement and management concepts. It then discusses the importance of colour for moulded plastic parts and components. Components often need to match colours even when moulded from different materials, locations, or resin batches. The document covers colour perception by the human eye and brain and introduces colour quantification systems like Munsell colour theory and CIE theory. It discusses using spectrophotometers and software to measure, analyse, compare, and match colour samples. Key aspects for plastic colouring like pigment dispersion, base plastic selection, and common causes of colour variation are also summarized.
Understanding colour
This presentation covers in detail all the information necessary for a dentist to understand the importance of colour in dentistry, and how its use adds to one's knowledge in dental esthetics.
Color Systems and Spaces
A look at color spaces in digital and print environments, as well as examples of color use in everyday life.
Textile application of the color sensitivity of a dye mixture
This technical report discusses color sensitivity of dye mixtures for textile applications. It describes factors that influence dye sensitivity, such as dyeing parameters like temperature, time, liquor ratio, and auxiliaries. It also discusses methods for measuring dye sensitivity in terms of color measurement values and fastness properties. The report outlines the process for determining an optimal dye recipe, including selecting dyes, calculating recipes from calibration data, selecting the best recipe, and modifying it based on dyeing tests until the color match is close enough.
Colour fastness
The document discusses the importance of testing textiles, including research and development, product evaluation, quality control, problem analysis, product comparison, proper advertising, and regulatory compliance. Testing ensures new textile products are developed properly, fabrics perform as intended, quality standards are met, issues are identified, best products are selected, advertising is accurate, and legal requirements are followed.
Shade selection seminar - Copy.pptx
This document discusses shade selection and color science in ceramics. It covers topics such as color perception, color measurement systems, translucency in ceramics, and shade matching guidelines. The key aspects are:
1) Color is the perception of light reflected from an object, determined by light source, observer, and the object.
2) Shade selection involves visual matching using shade guides or digital methods. Common shade guides include VITA Classical and 3D Master, which arrange shades by hue or value.
3) Factors like translucency, opalescence, and counter opalescence affect natural tooth color and are difficult to replicate precisely. Proper lighting conditions are important for accurate shade
A PROPOSED HSV-BASED PSEUDOCOLORING SCHEME FOR ENHANCING MEDICAL IMAGES
Medical imaging is one of the most attractive topics of image processing and understanding
research fields due to the similarity between the captured body organs colors. Most medical
images come in grayscale with low contrast gray values; which makes it a challenge to
discriminate between the region of interest (ROI) and the background (BG) parts. Pseudocoloring
is one of the solutions to enhance the visual appeal of medical images, most literature
works suggest RGB-base color palettes. In this paper, pseudo-coloring methods of different
medical imaging works are investigated and a highly discriminative colorization method is
proposed. The proposed colorization method employs HSV/HSI color models to generate the
desired color scale. Experiments have been performed on different medical images and different
assessment methods have been utilized. The results show that the proposed methodology could
clearly discriminate between near grayscale organs especially in case of tumor existence.
Comparisons with other literary works were performed and the results are promising
06 color image processing
The document discusses color image processing and color models. It describes how color is perceived by the human visual system through rods and cones in the retina. Various color models are examined, including RGB, CMY, HSV, YIQ, and YUV. Color models transform between different representations of color, such as representing a color by its hue, saturation, and intensity rather than red, green, and blue values.
Color models in Digitel image processing
Any colour that can be specified using a model will correspond to a single point within the subspace it defines. Each colour model is oriented towards either specific hardware (RGB,CMY,YIQ), or image processing applications (HSI).
Colour spaces
- Colour spaces are mathematical models that describe colours as tuples of numbers, usually three or four. They allow colours to be represented universally.
- The CIE 1931 RGB and CIE 1931 XYZ colour spaces were the first developed based on colour matching experiments. XYZ defines colours in a positive space and preserves luminance (brightness).
- Common colour spaces include CIE 1931 RGB, CIE 1931 XYZ, and CIELAB. They transform colours between perceptual and device-dependent representations.
Color Study Journal
This document provides an overview of color studies, including discussions of:
1. What color is and how humans perceive it. Isaac Newton is credited with discovering that white light is made up of the visible color spectrum.
2. Several color systems for describing and reproducing colors, including Munsell, RGB, CMYK, and Pantone Matching System.
3. Color wheels and the primary, secondary, and tertiary colors that make up the visible spectrum.
4. Different color harmonies like analogous, complementary, split-complementary, triad, and tetrad and how they create visual effects.
5. Achromatic and monochromatic color schemes. It also
CACJapan - GROUP Presentation 1- Wk 4.pdf
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Top five deadliest dog breeds in America
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
More Related Content
Viewers also liked
Computer Generated Watercolor
This document summarizes a 1997 paper on computer-generated watercolor painting. It describes how the paper simulates watercolor effects like flow, granulation and edge darkening through fluid simulation and applies the Kubelka-Munk model for optical rendering. Applications include interactive painting, watercolorizing photos, and applying effects to 3D models. While making assumptions, the model effectively captures watercolor's appearance for artistic purposes. Future work could explore additional effects and animation capabilities.
Color theory
Color theory involves the color wheel, primary colors (red, yellow, blue), secondary colors (green, orange, purple), and tertiary colors. Color harmony refers to pleasing color combinations and is influenced by analogous colors (next to each other on the wheel), complements (opposite each other), and nature. Color has natural associations based on nature and cultural/psychological associations that can be positive or negative. How color is perceived depends on factors like context, quantity, shape, and combinations with other colors.
Displays and color system in computer graphics(Computer graphics tutorials)
Displays and color system in computer graphics(Computer graphics tutorials)Daroko blog(www.professionalbloggertricks.com)
Do Not just learn computer graphics an close your computer tab and go away..
APPLY them in real business,
Visit Daroko blog for real IT skills applications,androind, Computer graphics,Networking,Programming,IT jobs Types, IT news and applications,blogging,Builing a website, IT companies and how you can form yours, Technology news and very many More IT related subject.
-simply google:Daroko blog(professionalbloggertricks.com)
• Daroko blog (www.professionalbloggertricks.com)
• Presentation by Daroko blog, to see More tutorials more than this one here, Daroko blog has all tutorials related with IT course, simply visit the site by simply Entering the phrase Daroko blog (www.professionalbloggertricks.com) to search engines such as Google or yahoo!, learn some Blogging, affiliate marketing ,and ways of making Money with the computer graphic Applications(it is useless to learn all these tutorials when you can apply them as a student you know),also learn where you can apply all IT skills in a real Business Environment after learning Graphics another computer realate courses.ly
• Be practically real, not just academic reader
Colour matching and colour theory
This document discusses colour matching and colour theory as it relates to injection moulding. It begins by introducing colour measurement and management concepts. It then discusses the importance of colour for moulded plastic parts and components. Components often need to match colours even when moulded from different materials, locations, or resin batches. The document covers colour perception by the human eye and brain and introduces colour quantification systems like Munsell colour theory and CIE theory. It discusses using spectrophotometers and software to measure, analyse, compare, and match colour samples. Key aspects for plastic colouring like pigment dispersion, base plastic selection, and common causes of colour variation are also summarized.
Understanding colour
This presentation covers in detail all the information necessary for a dentist to understand the importance of colour in dentistry, and how its use adds to one's knowledge in dental esthetics.
Color Systems and Spaces
A look at color spaces in digital and print environments, as well as examples of color use in everyday life.
Textile application of the color sensitivity of a dye mixture
This technical report discusses color sensitivity of dye mixtures for textile applications. It describes factors that influence dye sensitivity, such as dyeing parameters like temperature, time, liquor ratio, and auxiliaries. It also discusses methods for measuring dye sensitivity in terms of color measurement values and fastness properties. The report outlines the process for determining an optimal dye recipe, including selecting dyes, calculating recipes from calibration data, selecting the best recipe, and modifying it based on dyeing tests until the color match is close enough.
Colour fastness
The document discusses the importance of testing textiles, including research and development, product evaluation, quality control, problem analysis, product comparison, proper advertising, and regulatory compliance. Testing ensures new textile products are developed properly, fabrics perform as intended, quality standards are met, issues are identified, best products are selected, advertising is accurate, and legal requirements are followed.
Viewers also liked (8)
Displays and color system in computer graphics(Computer graphics tutorials)
Displays and color system in computer graphics(Computer graphics tutorials)
Textile application of the color sensitivity of a dye mixture
Textile application of the color sensitivity of a dye mixture
Similar to Computerised coloring machine NIFT
Shade selection seminar - Copy.pptx
This document discusses shade selection and color science in ceramics. It covers topics such as color perception, color measurement systems, translucency in ceramics, and shade matching guidelines. The key aspects are:
1) Color is the perception of light reflected from an object, determined by light source, observer, and the object.
2) Shade selection involves visual matching using shade guides or digital methods. Common shade guides include VITA Classical and 3D Master, which arrange shades by hue or value.
3) Factors like translucency, opalescence, and counter opalescence affect natural tooth color and are difficult to replicate precisely. Proper lighting conditions are important for accurate shade
A PROPOSED HSV-BASED PSEUDOCOLORING SCHEME FOR ENHANCING MEDICAL IMAGES
Medical imaging is one of the most attractive topics of image processing and understanding
research fields due to the similarity between the captured body organs colors. Most medical
images come in grayscale with low contrast gray values; which makes it a challenge to
discriminate between the region of interest (ROI) and the background (BG) parts. Pseudocoloring
is one of the solutions to enhance the visual appeal of medical images, most literature
works suggest RGB-base color palettes. In this paper, pseudo-coloring methods of different
medical imaging works are investigated and a highly discriminative colorization method is
proposed. The proposed colorization method employs HSV/HSI color models to generate the
desired color scale. Experiments have been performed on different medical images and different
assessment methods have been utilized. The results show that the proposed methodology could
clearly discriminate between near grayscale organs especially in case of tumor existence.
Comparisons with other literary works were performed and the results are promising
06 color image processing
The document discusses color image processing and color models. It describes how color is perceived by the human visual system through rods and cones in the retina. Various color models are examined, including RGB, CMY, HSV, YIQ, and YUV. Color models transform between different representations of color, such as representing a color by its hue, saturation, and intensity rather than red, green, and blue values.
Color models in Digitel image processing
Any colour that can be specified using a model will correspond to a single point within the subspace it defines. Each colour model is oriented towards either specific hardware (RGB,CMY,YIQ), or image processing applications (HSI).
Colour spaces
- Colour spaces are mathematical models that describe colours as tuples of numbers, usually three or four. They allow colours to be represented universally.
- The CIE 1931 RGB and CIE 1931 XYZ colour spaces were the first developed based on colour matching experiments. XYZ defines colours in a positive space and preserves luminance (brightness).
- Common colour spaces include CIE 1931 RGB, CIE 1931 XYZ, and CIELAB. They transform colours between perceptual and device-dependent representations.
Color Study Journal
This document provides an overview of color studies, including discussions of:
1. What color is and how humans perceive it. Isaac Newton is credited with discovering that white light is made up of the visible color spectrum.
2. Several color systems for describing and reproducing colors, including Munsell, RGB, CMYK, and Pantone Matching System.
3. Color wheels and the primary, secondary, and tertiary colors that make up the visible spectrum.
4. Different color harmonies like analogous, complementary, split-complementary, triad, and tetrad and how they create visual effects.
5. Achromatic and monochromatic color schemes. It also
Similar to Computerised coloring machine NIFT (6)
A PROPOSED HSV-BASED PSEUDOCOLORING SCHEME FOR ENHANCING MEDICAL IMAGES
A PROPOSED HSV-BASED PSEUDOCOLORING SCHEME FOR ENHANCING MEDICAL IMAGES
Recently uploaded
CACJapan - GROUP Presentation 1- Wk 4.pdf
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Top five deadliest dog breeds in America
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
A Strategic Approach: GenAI in Education
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp Network
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcDRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
Recently uploaded (20)
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Computerised coloring machine NIFT
- 1. Computer Color Matching System (CCMS) Presented by:- Sumit kumar(M/BFT/13/40(l) Sudeept Ratna (B/Ap/12/274)
- 2. colorSensation in brain due to excitation of cones in retina Color is combined effect of:- Human eyes Illumination (Source of light/properties) Properties of object Surrounding of field
- 3. Theory of light Manipulated in term of three primary color Red, yellow, blue Classification of theory of light 1). Pigment theory Red + yellow + blue = Black 2). Light theory Red +green + blue = White
- 4. Color order system Initial attempts for specifying color Communicate color Ostwald color order system(oldest principle, color were define as two component) 1.) Tint 2.) Shade Munsell color order system(invent by munsell in 1905, color were define as three component) 1.) Hue 2.) Value 3.) Chroma
- 5. CIE Color order system Commission international de I’Edairage (international commission on Illumination) set-up in 1928. standards in colorimetric & photometry. Followed all over world in color industries. CIE describe color in term of X,Y,Z. C I E
- 6. Computer color matching machine Computer Color Matching (CCM) is the instrumental color formulation based on recipe calculation using the spectrophotometric properties of dyestuff and fibers By the use of computer it permits dyers to produce original color formation Machine consist scanning (spectrophotometer) o A digital computer(Software NOVA SCAN)
- 8. Objective of ccm To predict the recipe Inventory control To standardize the process Substance performance Assessment of fastness properties Shade shorting Bulk grading in term of pass & fail
- 9. Modules of Computer Color Matching System: Quality Assurance Formulation Batch Correction K & S Data Color maker Shade library File Management
- 10. Advantages of Computer Color Matching System Customers often have a choice of 10-20 formulation that will match color. By taking costing, availability of dyes, and auxiliaries into account, one can choose a best swatch. 3 to 300 times faster than manual color matching.
- 11. THANK YOU