This document discusses novel image fusion techniques using Kekre wavelet transforms. It proposes using both local and global Kekre wavelet transforms for image fusion. The key steps are:
1) Apply the local or global Kekre wavelet transform to each input image separately, generating transformed images.
2) Fuse the transformed images using either the average, minimum or maximum of the coefficient values at each point.
3) Apply the inverse transform to the fused coefficients to obtain the output fused image.
Experiments on six sets of images are used to compare the performance of local vs global Kekre wavelet transforms, and averaging, minimum and maximum fusion methods. The results show that
11.optimal nonlocal means algorithm for denoising ultrasound imageAlexander Decker
The document presents a new algorithm for denoising ultrasound images called the optimal nonlocal means algorithm. It calculates the mean distance of all pixel neighborhoods in the image, rather than totaling all neighborhood distances as in the original nonlocal means algorithm. The proposed algorithm exhibits better performance in noise removal, visual quality of restored images, and mean square error compared to the original algorithm, as evidenced by experiments on phantom and normal ultrasound images. Numerical measurements of SNR, RMSE, and PSNR support that calculating nonlocal means with mean neighborhood distances provides a better method for image denoising.
A comparison between scilab inbuilt module and novel method for image fusionEditor Jacotech
Image fusion is one of the important embranchments of data fusion. Its purpose is to synthesis multi-image information in one scene to one image which is more suitable to human vision and computer vision or more adapt to further image processing such as target identification.
This paper mainly compares the Scilab inbuilt module and novel method for image fusion. By using scilab as experimental platform, we approved the feasibility and validity of method. The result indicate that the fused image quality would be very effective and clear.
Hydraulics now a days is a very distinguished area which has lot of major challenges often came in its
progress due to the realistic changes affecting on applicable working fluid viz. Water. Most occasions,
Water can be easily available but in certain times it may be scarce also. The available water vary according
to its properties. It exists in normal conditions as well as salty or hardy due to deposits. Majority of Water
is contaminated with minerals, dust or dirt. Often pure water which may be acidic or alkaline can be used
for making discharges through the Turbines
Iaetsd a modified image fusion approach using guided filterIaetsd Iaetsd
This document proposes a modified image fusion approach using guided filters to combine images. It involves:
1. Decomposing the input images into base and detail layers using simple average filtering.
2. Generating guided weight maps for the base and detail layers of each input image using saliency maps and guided filtering.
3. Reconstructing the fused image by weighted summation of the base and detail layers using the guided weight maps.
The proposed method aims to preserve edge information better than other methods by exploiting spatial context with guided filters during the fusion process. It is compared to other methods based on quality assessment results.
Multimodality medical image fusion using improved contourlet transformationIAEME Publication
1. The document presents a technique for medical image fusion using an improved contourlet transformation with log Gabor filters.
2. It proposes decomposing images using a contourlet transformation with modified directional filter banks that incorporate log Gabor filters. This aims to provide high quality fused images while localizing features accurately and minimizing noise.
3. Experimental results on fusing medical images show that the proposed technique achieves higher quality measurements like PSNR compared to a basic contourlet transformation fusion approach.
Comparative study on image fusion methods in spatial domainIAEME Publication
This document provides a comparative study of various image fusion methods in the spatial domain. It begins by introducing image fusion and its applications. Section 2 then describes several common fusion algorithms in the spatial domain, including average, select maximum/minimum, Brovey transform, intensity hue saturation (IHS), and principal component analysis (PCA). Section 3 defines image fusion quality measures like entropy, mean squared error, and normalized cross correlation. Section 4 provides a comparative analysis of the spatial domain fusion techniques based on parameters like simplicity, type of resources, and disadvantages. It finds that spatial domain methods provide high spatial resolution but have issues like image blurring and producing less informative outputs. The document concludes that while the best algorithm depends on the problem, spatial
This document provides an overview of wavelet-based image fusion techniques. It discusses wavelet transform theory, including continuous and discrete wavelet transforms. For discrete wavelet transforms, it describes decimated, undecimated, and non-separated approaches. It explains how wavelet transforms can extract detail information from images at different resolutions, which can then be combined to create a fused image containing the best characteristics of the original images. While providing improved results over traditional fusion methods, wavelet-based approaches still have limitations such as artifact introduction that researchers continue working to address.
11.optimal nonlocal means algorithm for denoising ultrasound imageAlexander Decker
The document presents a new algorithm for denoising ultrasound images called the optimal nonlocal means algorithm. It calculates the mean distance of all pixel neighborhoods in the image, rather than totaling all neighborhood distances as in the original nonlocal means algorithm. The proposed algorithm exhibits better performance in noise removal, visual quality of restored images, and mean square error compared to the original algorithm, as evidenced by experiments on phantom and normal ultrasound images. Numerical measurements of SNR, RMSE, and PSNR support that calculating nonlocal means with mean neighborhood distances provides a better method for image denoising.
A comparison between scilab inbuilt module and novel method for image fusionEditor Jacotech
Image fusion is one of the important embranchments of data fusion. Its purpose is to synthesis multi-image information in one scene to one image which is more suitable to human vision and computer vision or more adapt to further image processing such as target identification.
This paper mainly compares the Scilab inbuilt module and novel method for image fusion. By using scilab as experimental platform, we approved the feasibility and validity of method. The result indicate that the fused image quality would be very effective and clear.
Hydraulics now a days is a very distinguished area which has lot of major challenges often came in its
progress due to the realistic changes affecting on applicable working fluid viz. Water. Most occasions,
Water can be easily available but in certain times it may be scarce also. The available water vary according
to its properties. It exists in normal conditions as well as salty or hardy due to deposits. Majority of Water
is contaminated with minerals, dust or dirt. Often pure water which may be acidic or alkaline can be used
for making discharges through the Turbines
Iaetsd a modified image fusion approach using guided filterIaetsd Iaetsd
This document proposes a modified image fusion approach using guided filters to combine images. It involves:
1. Decomposing the input images into base and detail layers using simple average filtering.
2. Generating guided weight maps for the base and detail layers of each input image using saliency maps and guided filtering.
3. Reconstructing the fused image by weighted summation of the base and detail layers using the guided weight maps.
The proposed method aims to preserve edge information better than other methods by exploiting spatial context with guided filters during the fusion process. It is compared to other methods based on quality assessment results.
Multimodality medical image fusion using improved contourlet transformationIAEME Publication
1. The document presents a technique for medical image fusion using an improved contourlet transformation with log Gabor filters.
2. It proposes decomposing images using a contourlet transformation with modified directional filter banks that incorporate log Gabor filters. This aims to provide high quality fused images while localizing features accurately and minimizing noise.
3. Experimental results on fusing medical images show that the proposed technique achieves higher quality measurements like PSNR compared to a basic contourlet transformation fusion approach.
Comparative study on image fusion methods in spatial domainIAEME Publication
This document provides a comparative study of various image fusion methods in the spatial domain. It begins by introducing image fusion and its applications. Section 2 then describes several common fusion algorithms in the spatial domain, including average, select maximum/minimum, Brovey transform, intensity hue saturation (IHS), and principal component analysis (PCA). Section 3 defines image fusion quality measures like entropy, mean squared error, and normalized cross correlation. Section 4 provides a comparative analysis of the spatial domain fusion techniques based on parameters like simplicity, type of resources, and disadvantages. It finds that spatial domain methods provide high spatial resolution but have issues like image blurring and producing less informative outputs. The document concludes that while the best algorithm depends on the problem, spatial
This document provides an overview of wavelet-based image fusion techniques. It discusses wavelet transform theory, including continuous and discrete wavelet transforms. For discrete wavelet transforms, it describes decimated, undecimated, and non-separated approaches. It explains how wavelet transforms can extract detail information from images at different resolutions, which can then be combined to create a fused image containing the best characteristics of the original images. While providing improved results over traditional fusion methods, wavelet-based approaches still have limitations such as artifact introduction that researchers continue working to address.
This document discusses wavelet-based image fusion techniques. Image fusion combines information from multiple images of the same scene to create a fused image that is more informative than any single input image. The wavelet transform decomposes images into different frequency bands, and image fusion algorithms merge the corresponding bands from input images. Common fusion rules include choosing the maximum, minimum, mean, or a value from one image at each band location. The inverse wavelet transform then reconstructs the fused image. Wavelet-based fusion can integrate high spatial and high spectral information from images like panchromatic and multispectral satellite data.
A basic overview of Fusion Imaging, our capabilities and examples of work we've completed. Projects like the Super Bowl, Olympics and other large events.
This document discusses fusion imaging, which combines images from different modalities to create a hybrid image. It describes fusion imaging techniques like PET-CT and SPECT-CT that merge functional imaging data with anatomical images. The primary advantage of fusion imaging is that it allows correlation of findings from two concurrent imaging modalities, providing both anatomical and functional/metabolic information in a single exam. Specifically, PET-CT fusion improves diagnostic accuracy and lesion localization by overcoming the limitations of each individual modality. In conclusion, combined PET-CT exams are more effective than PET alone for localizing lesions and differentiating normal variants from tumors.
This document discusses image fusion techniques at different levels of abstraction: pixel level, feature level, and decision level. It describes various fusion methods including numerical (e.g. multiplicative, Brovey), color related (e.g. IHS), statistical (e.g. PCA, Gram Schmidt), and feature level (e.g. Ehlers) techniques. Both qualitative (visual) and quantitative (statistical measures like RMSE, correlation coefficient, entropy) methods to assess fusion quality are outlined. Image fusion has applications in improving classification and displaying sharper resolution images.
Multimodal Medical Image Fusion Based On SVDIOSR Journals
Image fusion is a promising process in the field of medical image processing, the idea behind is to
improve the content of medical image by combining two or more multimodal medical images. In this paper a
novel fusion framework based on singular value decomposition - based image fusion algorithm is proposed.
SVD is an image adaptive transform, it transforms the matrix of the given image into product USVT
, which
allows to refactor a digital image into three matrices called tensors. The proposed algorithm picks out
informative image patches of source images to constitute the fused image by processing the divided subtensors
rather than the whole tensor and a novel sigmoid-function-like coefficient-combining scheme is applied to
construct the fused result. Experimental results show that the proposed algorithm is an alternative image fusion
approach.
This document presents a method for multi-sensor image fusion using temporal object detection from visible and infrared video frames. The method uses a Gaussian mixture model for background subtraction to detect foreground objects in each frame. An edge detection algorithm is then applied and the resulting edge maps are fused based on local differences to generate a fused output frame that emphasizes detected objects and preserves details from the visual frame. Experimental results demonstrate the fusion of daytime and low light visible and infrared frames. Future work will add object tracking capabilities to the system.
This document summarizes different techniques for fusing images from multiple sensors. It discusses how image fusion aims to reduce data volume while retaining important information. Single-sensor fusion involves fusing sequential images, while multi-sensor fusion overcomes single-sensor limitations. Key steps in image fusion systems include registration, preprocessing, and postprocessing. Common fusion methods discussed are in the spatial domain (e.g. weighted averaging, Brovey transform) and transform domain (e.g. discrete wavelet transform). The document evaluates different fusion methods for applications like remote sensing and medical imaging, finding the multiresolution analysis-based intensity modulation method most accurately reproduces high-resolution images.
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
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.
Kekre’s hybrid wavelet transform technique with dct, walsh, hartley and kekre’sIAEME Publication
The document discusses Kekre's hybrid wavelet transform technique for image fusion. It begins by introducing Kekre's transform matrix and how hybrid wavelet matrices can be generated by combining two orthogonal transform matrices like DCT, Walsh, Hartley, and Kekre's. The proposed method applies different hybrid transforms to input images, averages the components, and performs inverse transforms on the fused image. Results on color and gray images show that different hybrid techniques produce varied performance based on measures like entropy, mean, standard deviation, and mutual information. The Kekre Hartley hybrid performed best for most measures and datasets.
This document proposes a model of the universe as a giant digital computer simulation. It divides the key components of the simulation into six modules: 1) consciousness and perception, 2) space and time, 3) gratification and deprivation, 4) mass and energy, 5) vacuum energy and quantum fields, and 6) environmental coherence and quantum gravity. Each module contains categories that are represented by notation. The model aims to record and simulate everything in the "general ledger of the universe" and suggests we are playing roles in a virtual drama.
The document presents a holistic model to describe quantum mechanical behavior, quantum tunneling, Higgs boson, distorted space and time, Schrodinger's wave function, neuron DNA, hypothetical particles, and consciousness. It introduces key concepts and breaks the model into six modules, each with categories and differential equations. The modules are then combined into "global equations" to represent the overarching system in a consolidated form.
The document is a lab manual for a course on Computer Graphics and Multimedia. It contains:
1. A table of contents listing various sections like the time table, university scheme, syllabus, list of books, and list of programs.
2. The time table, university scheme, and syllabus provide details about the course schedule, assessment scheme, and topics to be covered.
3. The list of books and list of programs provide resources for students to refer to for the course and experiments to be performed in the lab.
The document discusses using a dependent Dirichlet process (DDP) to model ecological data measuring microbe abundance across different pollution sites. It first introduces the biology question and data, which contains measurements of various microbes found at sites with different pollution levels. It then summarizes the Dirichlet process and introduces the DDP as a way to model dependence between sites. The DDP defines a process on the beta distribution parameters that determine the weights in the Dirichlet process mixture, allowing weights to vary based on pollution level.
The numerical solution of helmholtz equation via multivariate padé approximationeSAT Journals
The document describes a numerical method for solving the Helmholtz equation using multivariate Padé approximation. The Helmholtz equation arises in various fields and is difficult to solve using conventional methods. The document presents:
1) The Helmholtz equation and its application in different areas.
2) How two-dimensional differential transformation is used to convert the Helmholtz PDE to a power series.
3) How multivariate Padé approximation is then applied to the power series to accelerate its convergence and reduce computational time in obtaining the numerical solution.
An example demonstrating the method is provided.
The document is a tutorial on the fast finite shearlet transform (FFST). It introduces shearlets and defines the necessary mathematical functions for the shearlet transform. These include auxiliary functions v and b that have specific properties when used to define the shearlet transform. The document then discusses the continuous shearlet transform, discrete shearlets, and how to efficiently compute the shearlet transform using the fast Fourier transform (FFT). It provides details on implementing and using the FFST software.
In tech multiple-wavelength_holographic_interferometry_with_tunable_laser_diodesMeyli Valin Fernández
Multiple-wavelength holographic interferometry uses tunable laser diodes to measure large step heights with high accuracy. Holograms are recorded at different wavelengths, generating phase differences with synthetic wavelengths from 0.4637 mm to 129.1 mm. The 129.1 mm wavelength allows measuring a 32 mm step height, while the 0.463 mm wavelength provides 0.01 mm measurement accuracy. Recursive calculations using phase differences from multiple wavelengths eliminate 2π ambiguities, enabling measurement of the 32 mm step with 0.01 mm accuracy. Precise knowledge of the recording wavelengths is required for correct phase unwrapping.
This document is a lab manual for a Computer Graphics and Multimedia course. It includes:
- An introduction and contact information for the instructor.
- A table of contents listing various sections such as the course timetable, syllabus, list of programs to be completed, and important exam questions.
- Details of the course syllabus which covers topics like raster graphics, 2D and 3D transformations, color models, multimedia systems, compression techniques and more.
- A list of 11 programming experiments related to computer graphics algorithms and multimedia, including DDA line drawing, Bresenham's circle algorithm, transformations and compression.
- Descriptions and code for the first 3 experiments - DDA line
This document provides an introduction to differential calculus. It begins by motivating the concept of instantaneous velocity and derivative using the example of calculating speed from position over time. It then discusses how the derivative can be used to calculate rates of change in various contexts from mechanics to economics. The document proceeds to define the gradient of tangents and secants to a graph, and introduces methods for calculating derivatives, such as the definition of the derivative and differentiation rules. It concludes by discussing the history of calculus and links to further topics.
The document discusses methods for characterizing heterogeneity in subsurface environments. It describes using geostatistics and stochastic approaches such as Gaussian random fields and Markov random fields to model heterogeneity when direct observations are limited. These methods involve characterizing the spatial autocorrelation structure and using techniques like LU decomposition to generate multiple equally probable representations of the subsurface that honor available data and incorporate the spatial uncertainty.
The document discusses the graphics rendering pipeline for virtual reality displays. It covers topics such as the graphics pipeline, stereo rendering, coordinate space transformations, shaders, lens distortion, and using WebGL and three.js for 3D graphics rendering in web browsers. The graphics pipeline involves vertex processing, rasterization, and fragment processing to convert 3D scene descriptions into 2D images. Key steps include model, view, and projection transformations as well as vertex and fragment shaders. Stereo rendering and lens distortion are also covered to enable VR displays.
This document discusses wavelet-based image fusion techniques. Image fusion combines information from multiple images of the same scene to create a fused image that is more informative than any single input image. The wavelet transform decomposes images into different frequency bands, and image fusion algorithms merge the corresponding bands from input images. Common fusion rules include choosing the maximum, minimum, mean, or a value from one image at each band location. The inverse wavelet transform then reconstructs the fused image. Wavelet-based fusion can integrate high spatial and high spectral information from images like panchromatic and multispectral satellite data.
A basic overview of Fusion Imaging, our capabilities and examples of work we've completed. Projects like the Super Bowl, Olympics and other large events.
This document discusses fusion imaging, which combines images from different modalities to create a hybrid image. It describes fusion imaging techniques like PET-CT and SPECT-CT that merge functional imaging data with anatomical images. The primary advantage of fusion imaging is that it allows correlation of findings from two concurrent imaging modalities, providing both anatomical and functional/metabolic information in a single exam. Specifically, PET-CT fusion improves diagnostic accuracy and lesion localization by overcoming the limitations of each individual modality. In conclusion, combined PET-CT exams are more effective than PET alone for localizing lesions and differentiating normal variants from tumors.
This document discusses image fusion techniques at different levels of abstraction: pixel level, feature level, and decision level. It describes various fusion methods including numerical (e.g. multiplicative, Brovey), color related (e.g. IHS), statistical (e.g. PCA, Gram Schmidt), and feature level (e.g. Ehlers) techniques. Both qualitative (visual) and quantitative (statistical measures like RMSE, correlation coefficient, entropy) methods to assess fusion quality are outlined. Image fusion has applications in improving classification and displaying sharper resolution images.
Multimodal Medical Image Fusion Based On SVDIOSR Journals
Image fusion is a promising process in the field of medical image processing, the idea behind is to
improve the content of medical image by combining two or more multimodal medical images. In this paper a
novel fusion framework based on singular value decomposition - based image fusion algorithm is proposed.
SVD is an image adaptive transform, it transforms the matrix of the given image into product USVT
, which
allows to refactor a digital image into three matrices called tensors. The proposed algorithm picks out
informative image patches of source images to constitute the fused image by processing the divided subtensors
rather than the whole tensor and a novel sigmoid-function-like coefficient-combining scheme is applied to
construct the fused result. Experimental results show that the proposed algorithm is an alternative image fusion
approach.
This document presents a method for multi-sensor image fusion using temporal object detection from visible and infrared video frames. The method uses a Gaussian mixture model for background subtraction to detect foreground objects in each frame. An edge detection algorithm is then applied and the resulting edge maps are fused based on local differences to generate a fused output frame that emphasizes detected objects and preserves details from the visual frame. Experimental results demonstrate the fusion of daytime and low light visible and infrared frames. Future work will add object tracking capabilities to the system.
This document summarizes different techniques for fusing images from multiple sensors. It discusses how image fusion aims to reduce data volume while retaining important information. Single-sensor fusion involves fusing sequential images, while multi-sensor fusion overcomes single-sensor limitations. Key steps in image fusion systems include registration, preprocessing, and postprocessing. Common fusion methods discussed are in the spatial domain (e.g. weighted averaging, Brovey transform) and transform domain (e.g. discrete wavelet transform). The document evaluates different fusion methods for applications like remote sensing and medical imaging, finding the multiresolution analysis-based intensity modulation method most accurately reproduces high-resolution images.
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
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.
Kekre’s hybrid wavelet transform technique with dct, walsh, hartley and kekre’sIAEME Publication
The document discusses Kekre's hybrid wavelet transform technique for image fusion. It begins by introducing Kekre's transform matrix and how hybrid wavelet matrices can be generated by combining two orthogonal transform matrices like DCT, Walsh, Hartley, and Kekre's. The proposed method applies different hybrid transforms to input images, averages the components, and performs inverse transforms on the fused image. Results on color and gray images show that different hybrid techniques produce varied performance based on measures like entropy, mean, standard deviation, and mutual information. The Kekre Hartley hybrid performed best for most measures and datasets.
This document proposes a model of the universe as a giant digital computer simulation. It divides the key components of the simulation into six modules: 1) consciousness and perception, 2) space and time, 3) gratification and deprivation, 4) mass and energy, 5) vacuum energy and quantum fields, and 6) environmental coherence and quantum gravity. Each module contains categories that are represented by notation. The model aims to record and simulate everything in the "general ledger of the universe" and suggests we are playing roles in a virtual drama.
The document presents a holistic model to describe quantum mechanical behavior, quantum tunneling, Higgs boson, distorted space and time, Schrodinger's wave function, neuron DNA, hypothetical particles, and consciousness. It introduces key concepts and breaks the model into six modules, each with categories and differential equations. The modules are then combined into "global equations" to represent the overarching system in a consolidated form.
The document is a lab manual for a course on Computer Graphics and Multimedia. It contains:
1. A table of contents listing various sections like the time table, university scheme, syllabus, list of books, and list of programs.
2. The time table, university scheme, and syllabus provide details about the course schedule, assessment scheme, and topics to be covered.
3. The list of books and list of programs provide resources for students to refer to for the course and experiments to be performed in the lab.
The document discusses using a dependent Dirichlet process (DDP) to model ecological data measuring microbe abundance across different pollution sites. It first introduces the biology question and data, which contains measurements of various microbes found at sites with different pollution levels. It then summarizes the Dirichlet process and introduces the DDP as a way to model dependence between sites. The DDP defines a process on the beta distribution parameters that determine the weights in the Dirichlet process mixture, allowing weights to vary based on pollution level.
The numerical solution of helmholtz equation via multivariate padé approximationeSAT Journals
The document describes a numerical method for solving the Helmholtz equation using multivariate Padé approximation. The Helmholtz equation arises in various fields and is difficult to solve using conventional methods. The document presents:
1) The Helmholtz equation and its application in different areas.
2) How two-dimensional differential transformation is used to convert the Helmholtz PDE to a power series.
3) How multivariate Padé approximation is then applied to the power series to accelerate its convergence and reduce computational time in obtaining the numerical solution.
An example demonstrating the method is provided.
The document is a tutorial on the fast finite shearlet transform (FFST). It introduces shearlets and defines the necessary mathematical functions for the shearlet transform. These include auxiliary functions v and b that have specific properties when used to define the shearlet transform. The document then discusses the continuous shearlet transform, discrete shearlets, and how to efficiently compute the shearlet transform using the fast Fourier transform (FFT). It provides details on implementing and using the FFST software.
In tech multiple-wavelength_holographic_interferometry_with_tunable_laser_diodesMeyli Valin Fernández
Multiple-wavelength holographic interferometry uses tunable laser diodes to measure large step heights with high accuracy. Holograms are recorded at different wavelengths, generating phase differences with synthetic wavelengths from 0.4637 mm to 129.1 mm. The 129.1 mm wavelength allows measuring a 32 mm step height, while the 0.463 mm wavelength provides 0.01 mm measurement accuracy. Recursive calculations using phase differences from multiple wavelengths eliminate 2π ambiguities, enabling measurement of the 32 mm step with 0.01 mm accuracy. Precise knowledge of the recording wavelengths is required for correct phase unwrapping.
This document is a lab manual for a Computer Graphics and Multimedia course. It includes:
- An introduction and contact information for the instructor.
- A table of contents listing various sections such as the course timetable, syllabus, list of programs to be completed, and important exam questions.
- Details of the course syllabus which covers topics like raster graphics, 2D and 3D transformations, color models, multimedia systems, compression techniques and more.
- A list of 11 programming experiments related to computer graphics algorithms and multimedia, including DDA line drawing, Bresenham's circle algorithm, transformations and compression.
- Descriptions and code for the first 3 experiments - DDA line
This document provides an introduction to differential calculus. It begins by motivating the concept of instantaneous velocity and derivative using the example of calculating speed from position over time. It then discusses how the derivative can be used to calculate rates of change in various contexts from mechanics to economics. The document proceeds to define the gradient of tangents and secants to a graph, and introduces methods for calculating derivatives, such as the definition of the derivative and differentiation rules. It concludes by discussing the history of calculus and links to further topics.
The document discusses methods for characterizing heterogeneity in subsurface environments. It describes using geostatistics and stochastic approaches such as Gaussian random fields and Markov random fields to model heterogeneity when direct observations are limited. These methods involve characterizing the spatial autocorrelation structure and using techniques like LU decomposition to generate multiple equally probable representations of the subsurface that honor available data and incorporate the spatial uncertainty.
The document discusses the graphics rendering pipeline for virtual reality displays. It covers topics such as the graphics pipeline, stereo rendering, coordinate space transformations, shaders, lens distortion, and using WebGL and three.js for 3D graphics rendering in web browsers. The graphics pipeline involves vertex processing, rasterization, and fragment processing to convert 3D scene descriptions into 2D images. Key steps include model, view, and projection transformations as well as vertex and fragment shaders. Stereo rendering and lens distortion are also covered to enable VR displays.
1. The document presents a model for computing and evolution using monoids and binary arithmetic.
2. Two monoids are defined: ({0,1},+) representing binary addition, and ({0,1},.) representing binary multiplication.
3. Generations of ancestors are modeled backwards in time using binary operations and diagrams of 0s and 1s to represent family trees.
Monoids, Computer Science And Evolutionguest9fa195
1. The document presents a model for computing as two monoids - ({0,1},+) representing binary addition and ({0,1},.) representing binary multiplication.
2. It then extends this model to represent genealogical trees and reverse evolution by numbering generations with 0s and 1s using the same monoids.
3. Diagrams are shown representing multiple generations according to this model, with the first generation at the top moving backwards in time.
The document presents a minimalist concatenation model for NP-complete problems. It groups 12 NP-complete problems into categories and develops notation to represent their relationships. These problems include soap bubble formation, protein folding, quantum computing, and more. Due to space constraints, the paper does not provide detailed explanations or analyses, but presents the model as a starting point for further work by other scholars to help solve the P versus NP problem and better understand NP-complete problems.
The grand unified theory part two the final solutionAlexander Decker
This document presents a mathematical model of the fundamental forces in nature: electromagnetism, gravity, strong nuclear force, and weak nuclear force. The model expresses each force as a system of differential equations with accentuation and dissipation coefficients. It aims to develop a unified theory of all fundamental interactions through a predator-prey approach.
On prognozisys of manufacturing double basemsejjournal
In this paper we introduce a modification of recently introduced analytical approach to model mass- and
heat transport. The approach gives us possibility to model the transport in multilayer structures with account
nonlinearity of the process and time-varing coefficients and without matching the solutions at the
interfaces of the multilayer structures. As an example of using of the approach we consider technological
process to manufacture more compact double base heterobipolar transistor. The technological approach
based on manufacturing a heterostructure with required configuration, doping of required areas of this heterostructure
by diffusion or ion implantation and optimal annealing of dopant and/or radiation defects. The
approach gives us possibility to manufacture p-n- junctions with higher sharpness framework the transistor.
In this situation we have a possibility to obtain smaller switching time of p-n- junctions and higher compactness
of the considered bipolar transistor.
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...msejjournal
In this paper we introduce a modification of recently introduced analytical approach to model mass- and
heat transport. The approach gives us possibility to model the transport in multilayer structures with account nonlinearity of the process and time-varing coefficients and without matching the solutions at the
interfaces of the multilayer structures. As an example of using of the approach we consider technological
process to manufacture more compact double base heterobipolar transistor. The technological approach
based on manufacturing a heterostructure with required configuration, doping of required areas of this heterostructure by diffusion or ion implantation and optimal annealing of dopant and/or radiation defects. The
approach gives us possibility to manufacture p-n- junctions with higher sharpness framework the transistor.
In this situation we have a possibility to obtain smaller switching time of p-n- junctions and higher compactness of the considered bipolar transistor.
This document provides an introduction to concepts and applications of Global Navigation Satellite Systems (GNSS). It outlines topics to be covered, including basic concepts, collecting geospatial data, introducing GNSS, applications and software, resources, and acknowledgements. The introduction discusses the long history of human navigation from ancient to modern times. It will cover mathematical concepts required to understand GNSS such as Taylor series expansion, Jacobian, and least squares adjustment. Older surveying techniques for collecting geospatial data involved chains, tapes, sextants, theodolites and autolevels, while modern methods include GNSS.
Similar to Novel image fusion techniques using global and local kekre wavelet transforms (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.