Glaucoma is one of the second driving eye maladies on the planet, if not treated legitimately may prompt lasting visual impairment. There are no particular side effects when the glaucoma disease is considered, especially for this type of eye disease, the effect of which is the vision loss in the human eyes. Because of measuring, the container zone increments, which will result in the vision impairment in the human eyes. Normally exceptionally prepared opthalmogists physically review eye pictures as tedious way. In this unique circumstance, we are attempting to build up some novel calculations for programmed recognition of eyes influenced with glaucoma utilizing picture preparing separating and change strategies and actualize the same on equipment utilizing micro-controller framework. The product that will be created by us could be implanted on the equipment to test the sound and undesirable fundus pictures for the recognition of glaucoma. The calculations that could be created can be actualized wrt the eye pictures in HDL language utilizing Xilinx ISE, MATLAB and MODELSIM, TI based unit or NI based pack (any one) is the equipment apparatus that is considered for execution purposes.
Glaucoma is the most leading cause of irreversible blindness with the population of Africa and Asia ranking the highest over the rate of glaucoma affected regions around the world. The defect will damage eyes irreversibly by affecting the optic cup and optic disc of an eye. The early detection of glaucoma is an unavoidable need in the medical field. The widely used technique to detect glaucoma is an invasive method that may lead to other effects on the eye. This reason led to the introduction of a non invasive method that follows image processing for the detection of glaucoma. Retinal image based detection is the best way to choose as it comes under non invasive methods of detection. Detection of glaucoma using retinal images requires various medical features of the eyes such as optic cup diameter, optic disc diameter and optic cup to disc ratio are used. Glaucoma disease detection from retinal images supports convolutional neural networks CNN . The textual features obtained from retinal images such as the optic cup to optic disc measures are used for this classification. Convolutional Neural Networks use little pre processing techniques that can be implemented relatively uncomplicated compared to other image classification techniques. The implementation of this project follows the traditional CNN architecture, applying filter layers such as Convolution layer and Pooling layer and also activation functions such as ReLu function and sigmoid function to pre process as well as to update weights respectively on the hidden layers of the CNN followed by classifying the image. Vishnubhotla Poornasree | Vijayagiri Ashritha | Venumula Deeksha Reddy | J. Srilatha ""Glaucoma Detection from Retinal Images"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23732.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/23732/glaucoma-detection-from-retinal-images/vishnubhotla-poornasree
GLAUCOMA is a chronic eye disease that can damage optic nerve. According to WHO It
is the second leading cause of blindness, and is predicted to affect around 80 million people by 2020.
Development of the disease leads to loss of vision, which occurs increasingly over a long period of
time. As the symptoms only occur when the disease is quite advanced so that glaucoma is called the
silent thief of sight. Glaucoma cannot be cured, but its development can be slowed down by
treatment. Therefore, detecting glaucoma in time is critical. However, many glaucoma patients are
unaware of the disease until it has reached its advanced stage. In this paper, some manual and
automatic methods are discussed to detect glaucoma. Manual analysis of the eye is time consuming
and the accuracy of the parameter measurements also varies with different clinicians. To overcome
these problems with manual analysis, the objective of this survey is to introduce a method to
automatically analyze the ultrasound images of the eye. Automatic analysis of this disease is much
more effective than manual analysis.
Glaucoma Detection in Retinal Images Using Image Processing Techniques: A SurveyEswar Publications
Glaucoma is a disease associated with human eyes and second conducting movement o fblindness across the globe if
eyes are not treated at preliminary stage. Glaucoma normally occurs with increased intra-ocular pressure (IOP) in eyes and gradually damagesthe vision field of eyes. The term ocular-hypertension is related to those people in whom IOP increases consistently and does not damage the optic nerve. Glaucoma has different types such as open-angle, close-angle, congenital, normal tension and etcetera. Normal tension glaucoma affects vision field and damages optic nerve as well. The term angle means the distance between iris and cornea; if this distance is large it is referred to as open-angle glaucoma and similarly if the distance between iris and cornea is short than this is called close-angle glaucoma. Open-angle glaucoma is common as compared to close-angle glaucoma. Close-angle glaucoma is very painful and affects vision field of eyes quickly as compared to open-angle glaucoma. In this
paper, the state of the art CAD systems and image processing methods are studied and compared systematically in terms of their classification accuracy, methodology approach, sensitivity and specificity. The comparison results indicate that the accuracy of these CAD systems and image processing methods is not up to the mark.
FUZZY CLUSTERING BASED GLAUCOMA DETECTION USING THE CDR sipij
Glaucoma is a serious eye disease, overtime it will result in gradual blindness. Early detection of thedisease will help prevent against developing a more serious condition. A vertical cup-to-disc ratio which isthe ratio of the vertical diameter of the optic cup to that of the optic disc, of the fundus eye image is an important clinical indicator for glaucoma diagnosis. This paper presents an automated method for the extraction of optic disc and optic cup using Fuzzy C Means clustering technique combined with
thresholding. Using the extracted optic disc and optic cup the vertical cup-to-disc ratio was calculated.
The validity of this new method has been tested on 365 colour fundus images from two different publicly
available databases DRION, DIARATDB0 and images from an ophthalmologist. The result of the method
seems to be promising and useful for clinical work.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Glaucoma is the most leading cause of irreversible blindness with the population of Africa and Asia ranking the highest over the rate of glaucoma affected regions around the world. The defect will damage eyes irreversibly by affecting the optic cup and optic disc of an eye. The early detection of glaucoma is an unavoidable need in the medical field. The widely used technique to detect glaucoma is an invasive method that may lead to other effects on the eye. This reason led to the introduction of a non invasive method that follows image processing for the detection of glaucoma. Retinal image based detection is the best way to choose as it comes under non invasive methods of detection. Detection of glaucoma using retinal images requires various medical features of the eyes such as optic cup diameter, optic disc diameter and optic cup to disc ratio are used. Glaucoma disease detection from retinal images supports convolutional neural networks CNN . The textual features obtained from retinal images such as the optic cup to optic disc measures are used for this classification. Convolutional Neural Networks use little pre processing techniques that can be implemented relatively uncomplicated compared to other image classification techniques. The implementation of this project follows the traditional CNN architecture, applying filter layers such as Convolution layer and Pooling layer and also activation functions such as ReLu function and sigmoid function to pre process as well as to update weights respectively on the hidden layers of the CNN followed by classifying the image. Vishnubhotla Poornasree | Vijayagiri Ashritha | Venumula Deeksha Reddy | J. Srilatha ""Glaucoma Detection from Retinal Images"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23732.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/23732/glaucoma-detection-from-retinal-images/vishnubhotla-poornasree
GLAUCOMA is a chronic eye disease that can damage optic nerve. According to WHO It
is the second leading cause of blindness, and is predicted to affect around 80 million people by 2020.
Development of the disease leads to loss of vision, which occurs increasingly over a long period of
time. As the symptoms only occur when the disease is quite advanced so that glaucoma is called the
silent thief of sight. Glaucoma cannot be cured, but its development can be slowed down by
treatment. Therefore, detecting glaucoma in time is critical. However, many glaucoma patients are
unaware of the disease until it has reached its advanced stage. In this paper, some manual and
automatic methods are discussed to detect glaucoma. Manual analysis of the eye is time consuming
and the accuracy of the parameter measurements also varies with different clinicians. To overcome
these problems with manual analysis, the objective of this survey is to introduce a method to
automatically analyze the ultrasound images of the eye. Automatic analysis of this disease is much
more effective than manual analysis.
Glaucoma Detection in Retinal Images Using Image Processing Techniques: A SurveyEswar Publications
Glaucoma is a disease associated with human eyes and second conducting movement o fblindness across the globe if
eyes are not treated at preliminary stage. Glaucoma normally occurs with increased intra-ocular pressure (IOP) in eyes and gradually damagesthe vision field of eyes. The term ocular-hypertension is related to those people in whom IOP increases consistently and does not damage the optic nerve. Glaucoma has different types such as open-angle, close-angle, congenital, normal tension and etcetera. Normal tension glaucoma affects vision field and damages optic nerve as well. The term angle means the distance between iris and cornea; if this distance is large it is referred to as open-angle glaucoma and similarly if the distance between iris and cornea is short than this is called close-angle glaucoma. Open-angle glaucoma is common as compared to close-angle glaucoma. Close-angle glaucoma is very painful and affects vision field of eyes quickly as compared to open-angle glaucoma. In this
paper, the state of the art CAD systems and image processing methods are studied and compared systematically in terms of their classification accuracy, methodology approach, sensitivity and specificity. The comparison results indicate that the accuracy of these CAD systems and image processing methods is not up to the mark.
FUZZY CLUSTERING BASED GLAUCOMA DETECTION USING THE CDR sipij
Glaucoma is a serious eye disease, overtime it will result in gradual blindness. Early detection of thedisease will help prevent against developing a more serious condition. A vertical cup-to-disc ratio which isthe ratio of the vertical diameter of the optic cup to that of the optic disc, of the fundus eye image is an important clinical indicator for glaucoma diagnosis. This paper presents an automated method for the extraction of optic disc and optic cup using Fuzzy C Means clustering technique combined with
thresholding. Using the extracted optic disc and optic cup the vertical cup-to-disc ratio was calculated.
The validity of this new method has been tested on 365 colour fundus images from two different publicly
available databases DRION, DIARATDB0 and images from an ophthalmologist. The result of the method
seems to be promising and useful for clinical work.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Glaucoma Screening Test By Segmentation of Optical Disc& Cup Segmentation Usi...IJERA Editor
Glaucoma is one of the most common causes of blindness and it is becoming even more important considering
the ageing society. Because healing of died retinal nerve fibers is not possible early detection and prevention is
essential. Robust, automated mass-screening will help to extend the symptom-free life of affected patients. We
devised a novel, automated, appearance based glaucoma classification system that does not depend on
segmentation based measurements. Our purely data-driven approach is applicable in large-scale screening
examinations. The proposed segmentation methods have been evaluated in a database of 650 images with optic
disc and optic cup boundaries manually marked by trained professionals. Our expected Experimental results
may be average overlapping error of 9.5% and 24.1% in optic disc and optic cup segmentation, respectively.
Driving support systems, such as car navigation systems are becoming common and they
support driver in several aspects. Non-intrusive method of detecting Fatigue and drowsiness
based on eye-blink count and eye directed instruction controlhelps the driver to prevent from
collision caused by drowsy driving. Eye detection and tracking under various conditions such as
illumination, background, face alignment and facial expression makes the problem
complex.Neural Network based algorithm is proposed in this paper to detect the eyes efficiently.
In the proposed algorithm, first the neural Network is trained to reject the non-eye regionbased
on images with features of eyes and the images with features of non-eye using Gabor filter and Support Vector Machines to reduce the dimension and classify efficiently. In the algorithm, first the face is segmented using L*a*btransform color space, then eyes are detected using HSV and Neural Network approach. The algorithm is tested on nearly 100 images of different persons under different conditions and the results are satisfactory with success rate of 98%.The Neural Network is trained with 50 non-eye images and 50 eye images with different angles using Gabor filter. This paper is a part of research work on “Development of Non-Intrusive system for realtime Monitoring and Prediction of Driver Fatigue and drowsiness” project sponsored by Department of Science & Technology, Govt. of India, New Delhi at Vignan Institute of Technology and Sciences, Vignan Hills, Hyderabad.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
A Systematic Comparison of Spectral-Domain Optical Coherence Tomography and F...John Redaelli
Ophthalmology - Sept. 2011 - A Systematic Comparison of Spectral-Domain Optical Coherence Tomography and Fundus Autofluorescence in Patients with Geographic Atrophy
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathyijdmtaiir
Diabetic Retinopathy is a common complication of
diabetes that is caused by changes in the blood vessels of the
retina. The blood vessels in the retina get altered. Exudates are
secreted, micro-aneurysms and hemorrhages occur in the
retina. The appearance of these features represents the degree
of severity of the disease. In this paper the proposed approach
detects the presence of abnormalities in the retina using image
processing techniques by applying morphological processing
techniques to the fundus images to extract features such as
blood vessels, micro aneurysms and exudates. These features
are used for the detection of severity of Diabetic Retinopathy.
It can quickly process a large number of fundus images
obtained from mass screening to help reduce the cost, increase
productivity and efficiency for ophthalmologists.
IRDO: Iris Recognition by fusion of DTCWT and OLBPIJERA Editor
Iris Biometric is a physiological trait of human beings. In this paper, we propose Iris an Recognition using
Fusion of Dual Tree Complex Wavelet Transform (DTCWT) and Over Lapping Local Binary Pattern (OLBP)
Features. An eye is preprocessed to extract the iris part and obtain the Region of Interest (ROI) area from an iris.
The complex wavelet features are extracted for region from the Iris DTCWT. OLBP is further applied on ROI to
generate features of magnitude coefficients. The resultant features are generated by fusing DTCWT and OLBP
using arithmetic addition. The Euclidean Distance (ED) is used to compare test iris with database iris features to
identify a person. It is observed that the values of Total Success Rate (TSR) and Equal Error Rate (EER) are
better in the case of proposed IRDO compared to the state-of-the art techniques.
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Detection of Glaucoma using Optic Disk and Incremental Cup Segmentation from ...theijes
Medical researchers, detection of eye disease is very important because it may causes blindness. Glaucoma is one of the diseases that cause blindness. Standard procedure for detection glaucoma is to analysis of optic disk (OD) and cup region in retinal image. In this paper, introduce an automatic OD parameterized technique which is based on segmentation and Incremental Cup segmentation. The incremental cup segmentation method is based on anatomical evidence such as vessel bends at the cup boundary, considered relevant by glaucoma experts. Bends in a vessel are robustly detected using a region of support concept, which automatically selects the right scale for analysis. A multi-stage strategy is applied to derive a reliable subset of vessel bends called r-bends followed by a local 2-D spline fitting to derive the desired cup boundary. The results are compared with existing methods using different retinal images.
Next Gen Ophthalmic Imaging for Neurodegenerative Diseases and OculomicsPetteriTeikariPhD
Shallow literature analysis on recent trends in (multimodal) ophthalmic imaging with focus on neurodegenerative disease imaging / oculomics. Open-ended literature review on what you could be building next.
#1/2: Hardware
#2/2: Computational imaging (coming)
Alternative download link:
https://www.dropbox.com/scl/fi/ebp5xkhm3ngfu80hw0lvo/retina_imaging_2024.pdf?rlkey=eeikf3ewxdb481v06wxm34mqu&dl=0
Glaucoma Screening Test By Segmentation of Optical Disc& Cup Segmentation Usi...IJERA Editor
Glaucoma is one of the most common causes of blindness and it is becoming even more important considering
the ageing society. Because healing of died retinal nerve fibers is not possible early detection and prevention is
essential. Robust, automated mass-screening will help to extend the symptom-free life of affected patients. We
devised a novel, automated, appearance based glaucoma classification system that does not depend on
segmentation based measurements. Our purely data-driven approach is applicable in large-scale screening
examinations. The proposed segmentation methods have been evaluated in a database of 650 images with optic
disc and optic cup boundaries manually marked by trained professionals. Our expected Experimental results
may be average overlapping error of 9.5% and 24.1% in optic disc and optic cup segmentation, respectively.
Driving support systems, such as car navigation systems are becoming common and they
support driver in several aspects. Non-intrusive method of detecting Fatigue and drowsiness
based on eye-blink count and eye directed instruction controlhelps the driver to prevent from
collision caused by drowsy driving. Eye detection and tracking under various conditions such as
illumination, background, face alignment and facial expression makes the problem
complex.Neural Network based algorithm is proposed in this paper to detect the eyes efficiently.
In the proposed algorithm, first the neural Network is trained to reject the non-eye regionbased
on images with features of eyes and the images with features of non-eye using Gabor filter and Support Vector Machines to reduce the dimension and classify efficiently. In the algorithm, first the face is segmented using L*a*btransform color space, then eyes are detected using HSV and Neural Network approach. The algorithm is tested on nearly 100 images of different persons under different conditions and the results are satisfactory with success rate of 98%.The Neural Network is trained with 50 non-eye images and 50 eye images with different angles using Gabor filter. This paper is a part of research work on “Development of Non-Intrusive system for realtime Monitoring and Prediction of Driver Fatigue and drowsiness” project sponsored by Department of Science & Technology, Govt. of India, New Delhi at Vignan Institute of Technology and Sciences, Vignan Hills, Hyderabad.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
A Systematic Comparison of Spectral-Domain Optical Coherence Tomography and F...John Redaelli
Ophthalmology - Sept. 2011 - A Systematic Comparison of Spectral-Domain Optical Coherence Tomography and Fundus Autofluorescence in Patients with Geographic Atrophy
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathyijdmtaiir
Diabetic Retinopathy is a common complication of
diabetes that is caused by changes in the blood vessels of the
retina. The blood vessels in the retina get altered. Exudates are
secreted, micro-aneurysms and hemorrhages occur in the
retina. The appearance of these features represents the degree
of severity of the disease. In this paper the proposed approach
detects the presence of abnormalities in the retina using image
processing techniques by applying morphological processing
techniques to the fundus images to extract features such as
blood vessels, micro aneurysms and exudates. These features
are used for the detection of severity of Diabetic Retinopathy.
It can quickly process a large number of fundus images
obtained from mass screening to help reduce the cost, increase
productivity and efficiency for ophthalmologists.
IRDO: Iris Recognition by fusion of DTCWT and OLBPIJERA Editor
Iris Biometric is a physiological trait of human beings. In this paper, we propose Iris an Recognition using
Fusion of Dual Tree Complex Wavelet Transform (DTCWT) and Over Lapping Local Binary Pattern (OLBP)
Features. An eye is preprocessed to extract the iris part and obtain the Region of Interest (ROI) area from an iris.
The complex wavelet features are extracted for region from the Iris DTCWT. OLBP is further applied on ROI to
generate features of magnitude coefficients. The resultant features are generated by fusing DTCWT and OLBP
using arithmetic addition. The Euclidean Distance (ED) is used to compare test iris with database iris features to
identify a person. It is observed that the values of Total Success Rate (TSR) and Equal Error Rate (EER) are
better in the case of proposed IRDO compared to the state-of-the art techniques.
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Detection of Glaucoma using Optic Disk and Incremental Cup Segmentation from ...theijes
Medical researchers, detection of eye disease is very important because it may causes blindness. Glaucoma is one of the diseases that cause blindness. Standard procedure for detection glaucoma is to analysis of optic disk (OD) and cup region in retinal image. In this paper, introduce an automatic OD parameterized technique which is based on segmentation and Incremental Cup segmentation. The incremental cup segmentation method is based on anatomical evidence such as vessel bends at the cup boundary, considered relevant by glaucoma experts. Bends in a vessel are robustly detected using a region of support concept, which automatically selects the right scale for analysis. A multi-stage strategy is applied to derive a reliable subset of vessel bends called r-bends followed by a local 2-D spline fitting to derive the desired cup boundary. The results are compared with existing methods using different retinal images.
Next Gen Ophthalmic Imaging for Neurodegenerative Diseases and OculomicsPetteriTeikariPhD
Shallow literature analysis on recent trends in (multimodal) ophthalmic imaging with focus on neurodegenerative disease imaging / oculomics. Open-ended literature review on what you could be building next.
#1/2: Hardware
#2/2: Computational imaging (coming)
Alternative download link:
https://www.dropbox.com/scl/fi/ebp5xkhm3ngfu80hw0lvo/retina_imaging_2024.pdf?rlkey=eeikf3ewxdb481v06wxm34mqu&dl=0
Glaucoma is a disease which leads to a permanent blindness to a person. Many techniques are available in medical industry to detect glaucoma. Some traditional techniques are HRT and COT. But both of them are cost effective and time consuming. These inefficiencies leads to the emergence of automatic computer aided system which can detect glaucoma in less time. Optic disc and optic cup smashes an important role in glaucoma detection. This paper gives an study of various techniques that are used in glaucoma detection using automated systems Sherin. J | Devi Kala Rathinam. D | Santhiya Grace. A"Analysis on Glaucoma Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15756.pdf http://www.ijtsrd.com/computer-science/bioinformatics/15756/analysis-on-glaucoma-detection/sherin-j
Shallow introduction for Deep Learning Retinal Image AnalysisPetteriTeikariPhD
Overview of retinal imaging techniques such as fundus photography, optical coherence tomography (OCT) along with future upgrades such as multispectral imaging, OCT angiography, adaptive optics imaging and polarization-sensitive OCT. This is followed by an overview of deep learning image analysis methods suitable to be used with retinal imaging techniques.
Alternative download link: https://www.dropbox.com/s/n01w02cjaf68vbo/retina_deepLearning_pipeline.pdf?dl=0
Small overview of the startups involved in healthcare artificial intelligence, the OCT market, investments, patent and IP issues and FDA regulation.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/retinalAI_landscape.pdf
Eye Gaze Tracking With a Web Camera in a Desktop Environment1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Eye tracking system has played a significant role in many of today’s applications ranging from military
applications to automotive industries and healthcare sectors. In this paper, a novel system for eye tracking and
estimation of its direction of movement is performed. The proposed system is implemented in real time using an
arduino uno microcontroller and a zigbee wireless device. Experimental results show a successful eye tracking and
movement estimation in real time scenario using the proposed hardware interface.
An effective deep learning network for detecting and classifying glaucomatous...IJECEIAES
Glaucoma is a well-known complex disease of the optic nerve that gradually damages eyesight due to the increase of intraocular pressure inside the eyes. Among two types of glaucoma, open-angle glaucoma is mostly happened by high intraocular pressure and can damage the eyes temporarily or sometimes permanently, another one is angle-closure glaucoma. Therefore, being diagnosed in the early stage is necessary to safe our vision. There are several ways to detect glaucomatous eyes like tonometry, perimetry, and gonioscopy but require time and expertise. Using deep learning approaches could be a better solution. This study focused on the recognition of open-angle affected eyes from the fundus images using deep learning techniques. The study evolved by applying VGG16, VGG19, and ResNet50 deep neural network architectures for classifying glaucoma positive and negative eyes. The experiment was executed on a public dataset collected from Kaggle; however, every model performed better after augmenting the dataset, and the accuracy was between 93% and 97.56%. Among the three models, VGG19 achieved the highest accuracy at 97.56%.
Investigation of deformation of the cornea during tonometry using FEM IJECEIAES
A three-dimensional finite element model of the human eye is developed to evaluate the force which will be applied over the surface of cornea during tonometry and gonioscopy tests. The standard tonometers and gonioscopy experiences deformation from 0.5mm to 3mm of the cornea is adopted during both point contact and boundary contact on the surface of the cornea. The results demonstrate the maximum force experienced by the tonometer with point contact at the center of the cornea for the maximum possible deformation of the cornea during tonometry. The study also analyzes for the force experienced by the tonometer or goniolens with boundary layer contact for the defined deformation of the cornea along the direction from cornea towards the retina.
Automated fundus image quality assessment and segmentation of optic disc usin...IJECEIAES
An automated fundus image analysis is used as a tool for the diagnosis of common retinal diseases. A good quality fundus image results in better diagnosis and hence discarding the degraded fundus images at the time of screening itself provides an opportunity to retake the adequate fundus photographs, which save both time and resources. In this paper, we propose a novel fundus image quality assessment (IQA) model using the convolutional neural network (CNN) based on the quality of optic disc (OD) visibility. We localize the OD by transfer learning with Inception v-3 model. Precise segmentation of OD is done using the GrabCut algorithm. Contour operations are applied to the segmented OD to approximate it to the nearest circle for finding its center and diameter. For training the model, we are using the publicly available fundus databases and a private hospital database. We have attained excellent classification accuracy for fundus IQA on DRIVE, CHASE-DB, and HRF databases. For the OD segmentation, we have experimented our method on DRINS-DB, DRISHTI-GS, and RIMONE v.3 databases and compared the results with existing state-of-the-art methods. Our proposed method outperforms existing methods for OD segmentation on Jaccard index and F-score metrics.
Glaucoma is a chronic eye disease in which the optic nerve head is progressively damaged which leads to loss of
vision. Early diagnosis and treatment is the key to preserving sight in people with glaucoma. Current tests using
intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. Assessment of the
damaged optic nerve head is both more promising, and superior to IOP measurement or visual field testing. This paper
presents superpixel classification based optic disc and optic cup segmentation for glaucoma screening. In optic disc
segmentation, histograms and centre surround statistics are used to classify each superpixel as disc or non-disc. For optic
cup segmentation, in addition to the histograms and centre surround statistics, the location information is also included
into the feature space to boost the performance. The segmented optic disc and optic cup are used to compute the CDR
for glaucoma screening. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier
to confirm Glaucoma given patient.
Keywords — IOP measurement, optic cup segmentation, optic disc segmentation, CDR.
Similar to Development of novel BMIP algorithms for human eyes affected with glaucoma and hardware implementation using VLSI based embedded systems (20)
Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...Premier Publishers
In Benin, chilli pepper is a widely consumed as vegetable whose production requires the use of performant varieties. This work assessed, at Parakou and Malanville, the performance of six F1 hybrids of chilli including five imported (Laali, Laser, Nandi, Kranti, Nandita) and one local (De cayenne), in completely randomized block design at four replications and 15 plants per elementary plot. Agro-morphological data were collected and submitted to analysis of variance and factor analysis of mixed data. The results showed the effects of variety, location and their interactions were highly significant for most of the growth, earliness and yield traits. Imported hybrid varieties showed the best performances compared to the local one. Multivariate analysis revealed that 'De cayenne' was earlier, short in size, thin-stemmed, red fruits and less yielding (≈ 1 t.ha-1). The imported hybrids LaaliF1 and KrantiF1 were of strong vegetative vigor, more yielding (> 6 t.ha-1) by developing larger, long and hard fruits. Other hybrids showed intermediate performances. This study highlighted the importance of imported hybrids in improving yield and preservation of chili fruits. However, stability and adaptation analyses to local conditions are necessary for their adoption.
An Empirical Approach for the Variation in Capital Market Price Changes Premier Publishers
The chances of an investor in the stock market depends mainly on some certain decisions in respect to equilibrium prices, which is the condition of a system competing favorably and effectively. This paper considered a stochastic model which was latter transformed to non-linear ordinary differential equation where stock volatility was used as a key parameter. The analytical solution was obtained which determined the equilibrium prices. A theorem was developed and proved to show that the proposed mathematical model follows a normal distribution since it has a symmetric property. Finally, graphical results were presented and the effects of the relevant parameters were discussed.
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...Premier Publishers
Chia is an emerging cash crop in Kenya and its production is inhibited by lack of agronomic management information. A field experiment was conducted in February-June and May-August 2021, to determine the influence of nitrogen and spacing on growth and yield of Chia. A randomized complete block design with a split plot arrangement was used with four nitrogen rates as the main plots (0, 40, 80, 120 kg N ha-1) and three spacing (30 cm x 15 cm (s1), 30 cm x 30 cm (s2), 50 cm x 50 cm (s3)). Application of 120 kg N ha-1 significantly increased (p≤0.05) vegetative growth and seed yield of Chia. Stem height, branches, stem diameter and leaves increased by 23-28%, 11-13%, 43-55% and 59-88% respectively. Spacing s3 significantly increased (p≤0.05) vegetative growth. An increase of 27-74%, 36-45% and 73-107% was recorded in number of leaves, stem diameter and dry weight, respectively. Chia yield per plant was significantly higher (p≤0.05) in s3. However, when expressed per unit area, s1 significantly produced higher yields. The study recommends 120 kg N ha-1 or higher nitrogen rates and a closer spacing of 15 cm x 30 cm as the best option for Chia production in Kenya.
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...Premier Publishers
Social capital plays an essential role in empowering people for social and economic change even during the pandemic. A livelihood project of the government was implemented among the members of a women’s association of a disadvantaged upland community in Bukidnon province, Southern Philippines for inclusive development. This study was conducted to determine the influence of some socio-economic attributes and the change in the knowledge level on the social capital of the rural women amidst the pandemic. The activities of the project were implemented considering the health protocols imposed by the government during the health crisis. The findings revealed that the trainings conducted resulted to a positive change in the knowledge level among the rural women. This facilitated the production of vegetables for their households and generated additional income very necessary during the pandemic especially that other economic activities were hindered. Similarly, there was a significant increase in the social capital of the rural women during the last two years. The main occupation, sources of income and their ethnicity significantly influenced the social capital of the rural women. The rural development workers and policymakers must consider the social capital of the group in the implementation of poverty alleviation programs.
Impact of Provision of Litigation Supports through Forensic Investigations on...Premier Publishers
This paper presents an argument through the fraud triangle theory that the provision of litigation supports through forensic audits and investigations in relation to corporate fraud cases is adequate for effective prosecution of perpetrators as well as corporate fraud prevention. To support this argument, this study operationalized provision of litigation supports through forensic audit and investigations, data mining for trends and patterns, and fraud data collection and preparation. A sample of 500 respondents was drawn from the population of professional accountants and legal practitioners in Nigeria. Questionnaire was used as the instrument for data collection and this was mailed to the respective respondents. Resulting responses were analyzed using the OLS multiple regression techniques via the SPSS statistical software. The results reveal that the provision of litigation supports through forensic audits and investigations, fraud data mining for trends and patterns and fraud data collection and preparation for court proceedings have a positive and significant impact on corporate fraud prevention in Nigeria. This study therefore recommends that regulators should promote the provision of litigation supports through forensic audits and investigations in relation to corporate fraud cases in publicly listed firms in Nigeria, as this will help provide reports that are acceptable in court proceedings.
Improving the Efficiency of Ratio Estimators by Calibration WeightingsPremier Publishers
It is observed that the performances of most improved ratio estimators depend on some optimality conditions that need to be satisfied to guarantee better estimator. This paper develops a new approach to ratio estimation that produces a more efficient class of ratio estimators that do not depend on any optimality conditions for optimum performance using calibration weightings. The relative performances of the proposed calibration ratio estimators are compared with a corresponding global [Generalized Regression (GREG)] estimator. Results of analysis showed that the proposed calibration ratio estimators are substantially superior to the traditional GREG-estimator with relatively small bias, mean square error, average length of confidence interval and coverage probability. In general, the proposed calibration ratio estimators are more efficient than all existing estimators considered in the study.
Urban Liveability in the Context of Sustainable Development: A Perspective fr...Premier Publishers
Urbanization and quality of urban life are mutually related and however it varies geographically and regionally. With unprecedented growth of urban centres, challenge against urban development is more in terms of how to enhance quality of urban life and liveability. Making sense of and measuring urban liveability of urban places has become a crucial step in the context of sustainable development paradigm. Geographical regions depict variations in nature of urban development and consequently level of urban liveability. The coastal regain of West Bengal faces unusual challenges caused by increasing urbanization, uncontrolled growth, and expansion of economic activities like tourism and changing environmental quality. The present study offers a perspective on urban liveability of urban places located in coastal region comprising of Purba Medinipur and South 24 Parganas districts. The study uses the liveability standards covering four major pillars- institutional, social, economic and physical and their indicators. This leads to develop a City Liveability Index to rank urban places of the region, higher the index values better the urban liveability. The data for the purpose is collected from various secondary sources. Study finds that the eastern coastal region of the country covering state of West Bengal depicts variations in index of liveability determined by physical, economic, social and institutional indicators.
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...Premier Publishers
Stevia rebaudiana Bertoni is a plant which has recently been used widely as a sweetener. This medicinal plant has some components such as diterpenoid glycosides called steviol glycosides [SGs]. Rebaudioside A is a diterpenoid steviol glycoside which is 300 times sweeter than table sugar. This study was done to investigate the effect of GA3 (50 mg/L) on the expression of 14 genes involved in Rebaudioside A biosynthesis pathway in Stevia rebaudiana under in vitro conditions. The expression of DXS remarkably decreased by day 3. Also, probably because of the negative feedback of GA3 on MEP-drived isoprenes, GGDS transcript level reached its lowest amount after GA3 treatment. The abundance of DXR, CMS, CMK, MCS, and CDPS transcripts showed a significant increase at various days after this treatment. A significant drop in the expression levels of KS and UGT85C2 is detected during the first day. However, expression changes of HDR and KD were not remarkable. Results revealed that the level of transcript of UGT74G1 and UGT76G1 up regulated significantly 4 and 2 times higher than control, respectively. However, more research needs to shed more light on the mechanism of GA3 on gene expression of MEP pathway.
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...Premier Publishers
Information on genetic variability for biochemical characters is a prerequisite for improvement of tea quality. Thirteen introduced tea clones characterized with objective; assessing tea clones based on morphological characters at Melko and Gera research stations. The study was conducted during 2017/18 cropping season on experimental plots in RCBD with three replications. Data recorded on morphological traits like days from pruning to harvest, height to first branch, stem diameter, leaf serration density, leaf length, leaf width, leaf size, petiole length, leaf ratio, internode length, shoot length, number of shoot, canopy diameter, hundred shoot weight, fresh leaf yield per tree. Cluster analysis of morphological trait grouped into four clusters indicated, the existence of divergence among the tested clones. The maximum inter-cluster distance was between clusters I and IV (35.27) while the minimum inter cluster distance was observed between clusters I and II (7.8).Principal components analysis showed that the first five principal components with eigenvalues greater than one accounted 86.45% for 15 morphological traits. Generally, the study indicated presence of variability for several morphological traits. However, high morphological variation between clones is not a guarantee for a high genetic variation; therefore, molecular studies need to be considered as complementary to biochemical studies.
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...Premier Publishers
This research work was designed to examine nature of juvenile offences committed by juveniles, causes of juvenile delinquency, consequences of juvenile delinquency and remedies for juvenile delinquency in the context of Sub-Saharan Africa with specific reference to Eritrea. Left unchecked, juvenile delinquents on the streets engage in petty theft, take alcohol or drugs, rape women, rob people at night involve themselves in criminal gangs and threaten the public at night. To shed light on the problem of juvenile delinquency in the Sub-Saharan region data was collected through primary and secondary sources. A sample size of 70 juvenile delinquents was selected from among 112 juvenile delinquents in remand at the Asmara Juvenile Rehabilitation Center in the Eritrean capital. The study was carried out through coded self-administered questionnaires administered to a sample of 70 juvenile delinquents. The survey evidence indicates that the majority of the juvenile respondents come either from families constructed by unmarried couples or separated or divorced parents where largely the father is missing in the home or dead. The findings also indicate that children born out of wedlock, families led by single mothers, lack of fatherly role models, poor parental-child relationships and negative peer group influence as dominant causes of juvenile infractions. The implication is that broken and stressed families are highly likely to be the breeding grounds for juvenile delinquency. The survey evidence indicates that stealing, truancy or absenteeism from school, rowdy or unruly behavior at school, free-riding in public transportation, damaging the book of fellow students and beating other young persons are the most common forms of juvenile offenses. It is therefore, recommended that parents and guardians should exercise proper parental supervision and give adequate care to transmit positive societal values to children. In addition, the government, the police, prosecution and courts, non-government organizations, parents, teachers, religious leaders, education administrators and other stakeholders should develop a child justice system that strives to prevent children from entering deeper into the criminal justice process.
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...Premier Publishers
Stigma and discrimination associated with mental illness are a common occurrence in the Sub-Saharan region including Eritrea. Numerous studies from Sub-Saharan Africa suggest that stigma and discrimination are major problems in the community, with negative attitudes and behavior towards people with mental illness being widespread. In order to assess the whether such negative attitudes persist in the context of Eritrea this study explored the knowledge and perceptions of 90 Eritrean university students at the College of Business and Economics, the University of Asmara regarding the causes and remedies of mental illness A qualitative method involving coded self-administered questionnaires administered to a sample of 90 university students to collecting data at the end of 2019. The survey evidence points that almost 50% of the respondents had contact with a mentally ill person suggesting that the significant number of the respondents experienced a first-hand encounter and knowledge of mental illness in their family and community. The findings show an overall greater science-based understanding of the causes of mental illness to be followed by recommended psychiatric treatments. The survey evidence indicates that the top three leading causes of mental illness in the context of Eritrea according to the respondents are brain disease (76%), bad events in the life of the mentally ill person (66%) and substance abuse or alcohol taking, smoking, taking drugs like hashish. (54%). The majority of the respondents have a very sympathetic and positive outlook towards mentally ill persons suggesting that mentally illness does not simply affect a chosen individual rather it can happen to anybody regardless of economic class, social status, ethnicity race and religion. Medical interventions cited by the majority of the respondents as being effective treatments for mental illness centered on the idea that hospitals and clinics for treatment and even cures for psychiatric disease. Changing perceptions of mental illnesses in Eritrea that paralleled the very caring and sympathetic attitudes of the sample university students would require raising public awareness regarding mental illness through education, using the mass media to raise public awareness, integrating mental health into the primary health care system, decentralizing mental health care services to increase access to treatment and providing affordable service to maintain positive treatment outcomes.
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...Premier Publishers
An investigation was carried out at Kogi State University Student Research and Demonstration farm Anyigba during the 2019 wet season to observe the effect of phosphorus and zinc on the growth, nodulation and yield of soybean. The treatments comprised three levels: phosphorus and zinc (0, 30 and 60 kg P2O5/ha; 0, 5 and 10kg Zn/ha) and two varieties TGX 536 – 02D and Samsoy 2. The investigation revealed that application of phosphorus affected growth, nodulation, yield and some yield components of soybean while zinc application, apart from the plant height, which is reduced significantly, had no significant effect on other growth characters, nodulation, yield and yield components. However, it was generally found to decrease most of the characters. Application of 60 kg P2O5/ha gave the highest growth and yield, while 30 kg P2O5/ha gave the highest nodulation. Application of 60 kg P2O5/ha significantly increased yield to 1.9t/ha, which was significantly higher over the control plots, which gave 1.7t/ha. Crude protein and oil contents of the seeds were not significantly affected by phosphorus application but were significantly affected by zinc application, which significantly decreased protein content as its amount an increase from 0 to 10 kg/ha, and significantly increased oil content from 0 to 5kg/ha and decreased it below 5kg/ha. It was also revealed that the two varieties responded similarly to phosphorus and zinc in terms of growth, grain yield and crude protein content of the seeds.
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...Premier Publishers
A field experiment was conducted at Adami Tullu Agricultural Research Center in 2018 under rainfed condition with supplementary irrigation to determine the influence of harvest stage on vine yield and tuberous root yield of orange fleshed sweet potato varieties. The experiment consisted of four harvest stages (105, 120, 135 and 150 days after planting) and Kulfo, Tulla and Guntute varieties. A 4 X 3 factorial experiment arranged in randomized complete block design with three replications was used. Interaction of harvest stage and variety significantly influenced above ground fresh biomass, vine length, marketable tuberous root weight per hectare, commercial harvest index and harvest index. The highest mean values of above ground fresh biomass (66.12 t/ha) and marketable tuberous root weight (56.39 t/ha) were produced by Guntute variety harvested at 135 days after planting. Based on the results, it can be recommended that, farmers of the study area can grow Guntute variety by harvesting at 135 days after planting to obtain optimum vine and tuberous root yields.
Performance evaluation of upland rice (Oryza sativa L.) and variability study...Premier Publishers
This study aimed at assessing genetic variability and to evaluate the performance of 13 improved upland rice varieties for yield and its components based on morphological traits. The field experiment was conducted using a randomized block design at Guraferda and Gimbo districts in the 2019 main cropping season. The analysis of variance (ANOVA) over the two locations revealed significant differences (p≤ 0.05) among varieties for days to 50% heading, days to 85% maturity, panicle length, thousand-grain weight, and grain yield. Similarly, the ANOVA for variety by location interactions depicted significant differences among the tested varieties for days to 50% heading, days to 85% maturity, and thousand-grain weight. High heritability was obtained from days to heading (88.5%), panicle length (85.0%), and grain yield (85.2%), which indicates these traits can be easily improved through selection. High to medium broad sense heritability and genetic advance as percentage of the mean for days to heading, thousand-grain weight, and grain yield indicates a good opportunity for improvement through selection using their phenotypic performance. This is mainly due to the high role of additive gene action in the expression of such traits. This study confirmed the presence of variability among varieties for most of the studied traits, which will create an opportunity for breeders to improve rice yield and other attributes.
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...Premier Publishers
This study was conducted at Enchete kebele in Benna-Tsemay Woreda, South Omo Zone to evaluate the response of hot pepper to deficit irrigation on yield and water productivity under furrow irrigation system. The experiment comprised four treatments (100 % of ETc, 85% of ETc, 70 % of ETc and 50% of ETc), respectively. The experiment was laid out in RCBD and replicated four times. The two years combined yield results indicated that, the maximum total yield (20.38 t/ha) was obtained from 100% ETc while minimum yield (12.92 t/ha) was obtained from 50% of ETc deficit irrigation level. The highest WUE 5.22 kg/ha mm-1 was obtained from 50% of ETc. Treatment of 100% ETc irrigation application had highest benefit cost ratio (4.5) than all others treatments. Applying 50% of ETc reduce the yield by 37% when compared to 100 % ETc. Accordingly, to achieve maximum hot pepper yield in areas where water is not scarce, applying 100% ETc irrigation water application level throughout whole growing season under furrow irrigation system is recommended. But, in the study area water scarcity is the major limiting factor for crop production. So, it is possible to get better yield and water productivity of hot pepper when we apply 85% ETc irrigation water throughout growing season under furrow irrigation system.
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...Premier Publishers
Nigeria is still burdened with huge responsibilities of waste disposal because the potential for benefits of proper waste management is yet to be harnessed. The paper evaluates the capacity of the Sabo Cattle market in producing the required quantities of waste from animal dung alongside decomposed fruits with a view to generating renewable energy possibilities for lighting, security and other business activities of the market. It is estimated that about 998 million tons of agricultural waste is produced yearly in the country with organic wastes amounting to 80 percent of the total solid wastes. This can be categorized into biodegradable and non-biodegradable wastes. The paper evaluates the capacity of the Sabo Cattle market in producing the required quantities of waste from animal dung alongside decomposed fruits with a view to generating renewable energy possibilities for lighting, security and other business activities of the market. The Sabo market was treated as a study case with the adoption of in-depth examinations of the facility, animals and products for sale and waste generated. A combination of experimental, interviews (qualitative) and design simulation (for final phase) was adopted to extract, verify and analyse the data generated from the study. Animal waste samples were subjected to compositional and fibre analysis with results showing that the sample has high potency for biogas production. Biodegradable Wastes are human and animal excreta, agricultural and all degradable wastes. Availability of high quantity of waste generated being organic in Sabo market allows the use of anaerobic digestion to be proposed as a waste to energy technology due to its feasibility for conversion of moist biodegradable wastes into biogas. The study found that at peak supply period during the Islamic festivities, a conservative 300tonnes of animal waste is generated during the week which translates to over 800kilowatts of electricity.
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...Premier Publishers
The general purpose of this study is to investigate the influence of conferences and job rotation on job productivity of library staff in tertiary institutions in Imo State, Nigeria. The survey research design was used for this study using questionnaire as an instrument for data collection. This study covered the entire population of 661. Out of these, 501 copies of the questionnaire representing 75.8% were duly completed and returned for analysis. Student’s t-test was used to analyze the research questions. The finding showed that conferences had no significant influence on the job productivity of library staff in tertiary institutions in Imo State, Nigeria (F cal= 7.86; t-vale =6.177; p >0.005). Finding also showed that job rotation significantly influences job productivity of library staff in tertiary institutions in Imo State, Nigeria (F-cal value= 18.65; t-value = 16.225; P<0.05). This study recommended that, government should ensure that library staff participate in conferences with themes and topics that are relevant to the job they perform and also ensure that there should be proper evaluation and feedback mechanism which aimed to ensuring control and minimize abuse of their development opportunities. Again, there should be written statement of objectives in order to sustain job rotation programmes. Also, that training and development needs of library staff must be identified and analyzed before embarking on job rotation processes as this would help to build skills, competences, specialization and high job productivity.
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...Premier Publishers
Microscopic examination of urine samples collected from geriatric dogs revealed increased numbers of erythrocytes, leucocytes, epithelial cells and pus cells along with casts, bacteria, spermatozoa and crystals of various shapes. Among the different crystals, triple phosphate or struvite were predominant, followed by calcium oxalate dihydrate, calcium oxalate monohydrate and ammonium urate or biurate. The struvite crystals were, coffin-lid shape and while calcium oxalate dihydrate were octahedron or envelope and monohydrate crystals demonstrated “picket fence” and “dumbbell” and “hemp seed” appearance. Brown or yellow-brown spherical bodies with irregular borders with thorn-apple appearance were shown by ammonium urate or biurate crystals. SEM aspects of magnesium ammonium phosphate crystals revealed perpendicular columnar strata, few with scattered hexa or octa-hedral coffin-lid shaped crystals and calcium phosphate crystals were like cracked eggshells. Presence of wavy phases with sundry areas (uric acid), picket fence (calcium oxalate monohydrate) and typical envelope (calcium oxalate dehydrate) were electron microscopic appearance of various crystals.
Gentrification and its Effects on Minority Communities – A Comparative Case S...Premier Publishers
This paper does a comparative analysis of four global cities and their minority districts which have been experiencing the same structural pressure of gentrification. The main contribution of this paper is providing a detailed comparison of four micro geographies worldwide and the impacts of gentrification on them: Barrio Logan in San Diego, Bo-Kaap in Cape Town, the Mission District in San Francisco, and the Rudolfsheim-Fünfhaus District in Vienna. All four cities have been experiencing the displacement of minority communities due to increases in property values. These cities were chosen because their governments enacted different policies to temper the gentrification process. It was found that cities which implemented social housing and cultural inclusionary policies were more successful in maintaining the cultural and demographic make-up of the districts.
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...Premier Publishers
The experiments was conducted at Holetta Agricultural Research Center, to analyze forty nine Ethiopian Mustard land races for oil and fatty acid composition traits The experiment was carried out in a simple lattice design. The analysis of variance showed that there were highly significant differences among genotypes for all oil and fatty acid traits compared. The significant difference indicates the existence of genetic variability among the land races which is important for improvement
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
2. Development of novel BMIP algorithms for human eyes affected with glaucoma and hardware implementation using VLSI based embedded systems
Pavithra et al. 100
Fig. 3 :Medical image of normal and affected eye
Anatomy of the normal eye
An anatomy of human eye is approximately a spherical
organ & is shown in the Fig. 4. The container to-plate
proportion is an estimation utilized as a part of
ophthalmology and optometry to survey the movement of
glaucoma. The optic plate is the anatomical area of the
eye’s blind side. It is the territory where the optic nerve and
veins enter the retina. The optic plate can be level or it can
have a specific measure of ordinary measuring. If there is
a loss of pressure, then definitely, the optical nerve gets
damaged as a result of which the vision loss becomes
predominant.
Fig. 4: Anatomy of eye / retina
Fig. 5: Enlarged view of the retina with optic disc
Types of Glaucoma
In this section, different types of glaucoma are discussed
as below. These are marked by an increase of intraocular
pressure (IOP) or pressure inside the eye.
A brief review of the various types of glaucoma was
discussed in the previous sections. In this context, we are
going to find out the CDR for healthy & unhealthy images
along with the establishment of some relationships
between various parameters.
In the following sections, we give a brief review about the
detection of glaucoma is dealt with along with hardware
implementation of the same.
3. Development of novel BMIP algorithms for human eyes affected with glaucoma and hardware implementation using VLSI based embedded systems
Int. Res. J. Power Energy Engin. 101
LITERATURE SURVEY
Glaucoma disease in human beings is considered as one
of the important diseases which affects the nervous
systems & may lead to the loss of vision. Glaucoma
damages the optic nerve which carries visual information to
the brain. The brain can recognize the objects in the
foreground and in the background or at a certain distance
with the help of eyes. The damage to the optic nerve leads
to permanent blindness or to loss of vision. So, detection
of glaucoma plays an important role in order to prevent the
loss of vision.
The various parameters for the pri-glauco could be thought
of as below one after another as
• Measurement of the IP,
• Determination of the ONH,
• R N F L and
• Defect in the visual effects of the eyes.
Extensive research is being carried out on the secondary
glaucoma issues in the world @ various research centers
till date. A number of researchers have worked on the topic
so far, some of them have advantages & some of them dis-
advantages. A brief exhaustive review of the similar work
done in the relevant chosen field by different authors w.r.t.
glaucoma is summarized as follows.
G.C. Escher et al communicated that optical circle (OD)
estimate in Ocular Hypertension (OHT) patients is littler
contrasted with POAG patients and normal eye in the
human beings. The even and the vertical distances across
were measured. S.Sekhar et al. utilized Hough change to
recognize optical disc parameters. To discover the shapes
of disc O D, a locale of intrigue (ROI) is found from the
twofold picture gotten after pre-preparing. Morphological
calculations are utilized to compute the extent slope or the
grads for edge location of the ODs.
Mahdad Esmaeili et al effective optical discs confinement
and division (segmenting) are vital undertakings in
robotized retinal screening of the human eyes which are
affected with glaucoma. In this computerized curvelet
change (DCUT) of the improved retinal picture is taken and
its coefficients are altered in light of the sparsely of curvelet
coefficients to get likely area of OD.
Bock Rudger et al. developed a novel computerized
glaucoma identification framework in which, Glaucoma
Risk Index figuring comprises of 3 stages: pre-
handling/processing to kill the malady autonomous
varieties from the information picture, extracting the
features of the diseased eye by the P C A methodology to
change the pre-prepared info information to trademark and
minimal portrayal, and a 2-stage probabilistic SVM
classifier to produce the Glaucoma indexed values, from
which we can detect whether the human has been affected
with the disease or not.
Chrastek et al in their research paper displayed a technique
for optic nerve head division and its approval, i.e., they
validated the detection of the ONH by conducting some real
time works. The technique depends on morphological
calculations, Hough trans, and a tied down dynamic form
display. Gopal Dat Joshi et al in their developed a new
methodology of the Glaucoma discovery by figuring glass
to plate proportion (CDR), i.e., the ratio between the cup
and the disc of the eye. Morphological calculations and
Hough changes are connected w.r.t. each other in order to
distinguish the O D.
Niemeijer Meindert et al, executed a quick strategy to
distinguish the position of the optic plate and the fovea in
retinal pictures of the human eyes which are affected with
glaucoma. Jaeyoung Kim et al, actualized ongoing picture
preparing program utilizing Open CV library by using
different types of mobile phones such as apple, Samsung,
android smart phones, etc.... Sopharak et al, executed
location of OD in light of entropy channel.
Jalal Rashid Qureshi et al, actualized a mix of the
distinctive calculations for the discovery of OD and Macula.
Aby P.K et al, actualized picture handling calculations on
DM3730 for face location applications using various types
of sophisticated IP algorithms by considered the face of the
human in which the eye is a part of the face.
Shifeng Hu, proposed a driver weariness eye highlights
discovery calculation in light of Open CV, Hiroki Sugano in
their research paper, proposed/developed a parallel
execution of morphological handling advanced technology
for Cell Broadband Defects in the diseased eye affected
with glaucoma.
CuljakSIvan et al, in their research paper portrayed
numerous PC vision calculations to make a peruser
comfortable with Open CV and introduced numerous
fundamental and mainstream Computer Vision
calculations, alongside many key references for an
intrigued peruser to seek after further subtle elements.
Objectives of the project work
The main objective of our M.Tech dissertation (project)
work is to develop some algorithms for
• the diagnosis & detection of glaucoma by developing
sophisticated algorithms using different types of
transformation techniques &
• To compare them for their best performance for
glaucoma detection by finding out the performance
indices.
• Two cases may be considered in this project work, i.e.,
for healthy images & unhealthy images (affected with
glaucoma& injury).
• Hardware implementation of glaucoma detection using
DSP kits / FPGA Kits.
4. Development of novel BMIP algorithms for human eyes affected with glaucoma and hardware implementation using VLSI based embedded systems
Pavithra et al. 102
• Using MATLAB / LABVIEW as a tool to achieve this
implementation process.
• The main objective of our proposed research work is to
develop a simulation methodology for the identification
of the glaucoma and try to implement it using real time
hardware by using various types of hardware
implementation kits such as the Spartan, HDL kit or the
FPGA kit or the micro-controller kit or the D S P kit or in
the Verilog kit.
The above-mentioned objective of our dissertation work
may be achieved using the following steps:
1. Collecting images of human eyes (Both healthy and
unhealthy) using appropriate image capturing
devices… a large number of samples (data base of
image collection) from various sources from hospitals &
image databases.
2. Preparation of desired image data bases using state-
of-art techniques.
3. Performing image pre-processing (segmentation,
enhancement), processing, and analysis and
application of mathematically developed equations in
spatial & frequency domains.
4. Finding the ROI using different IP techniques.
5. Use of filtering & transformation techniques to get a fine
image
6. Simulating the same using Matlab/LabVIEW
7. Implementation using hardware kits.
Fig. 6: Block-diagram of the proposed hardware
implementation methodology
Hardware kits used
The hardware kits that are going to be used for the project
work is DSP card with CCS-Code Composer Studio & the
National Instruments Kits / FPGA Spartan kits for the
experimentation purposes / Xilinx Spartan Kits.
Motivation / Problem statement definition
The motivation for carrying out the project work is depicted
in this section along with the problem statement. Doctors
are finding problems in the earlier detection of the infected
region in case of eye as the glaucoma disease is the 2nd
most affected disease in the world to which many people
are falling victims.
At the same time, it is a very expensive process to detect
the disease using the modern tools as a result of which we
are developing a methodology for detection such that it is
affordable by all the sections of the society, also it can be
detected at the early stage & prevention can be taken.
Hence in continuation, with zeal of this work, we are
proposing some novel methodologies for detection of
glaucoma by developing some software algorithms using
some types of transformation techniques& filtering
techniques in Matlab/LabVIEW & finally implementing the
same using hardware (VLSI techniques) in FPGA, the
problem finally, being defined as “Simulation, development
of bio-medical image processing algorithms of eyes
affected with glaucoma & hardware implementation using
VLSI techniques”.
Proposed Methodology
The proposed methodology that may be used in our project
work is presented in this section (may change in due course
as the project progresses). The proposed methodology
that may be adopted in the present project work is depicted
in the Fig. 6 in a very highly abstracted manner with various
blocks in the vertical & horizontal fashion.