http://kasanpro.com/projects-list/ieee-2014-java-projects, List of IEEE Java Projects. It Contains the IEEE Projects in the Language Java with ieee publication year 2014
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
This document reviews various techniques for detecting blood vessels in retinal images. It discusses local entropy thresholding, matched filter methods, and Gaussian mixture models. Local entropy thresholding aims to maximize local entropy to extract vessels, but some structures may be missed. Matched filtering uses kernels to enhance vessels, but thin vessels can be hard to detect. Gaussian mixture models use expectation maximization to classify pixels into vessel and non-vessel classes. Other discussed techniques include fuzzy C-means clustering, Gabor wavelets, Hough transforms, and neural networks. Each technique has benefits but also limitations regarding preprocessing requirements, computation time, and ability to detect different vessel structures.
This document provides information on several 2015 IEEE Matlab projects related to signal processing and image analysis. It lists the project titles, languages, links, and abstracts for 10 different Matlab projects. The projects cover topics such as target source separation using deep neural networks, hyperspectral image classification using sparse representation, image denoising techniques, and cardiovascular biometrics.
This document lists several signal processing projects completed for IEEE in 2015. It includes projects on topics like target source separation using deep neural networks and NMF, image denoising using non-local means and a soft threshold, improving fingerprint image quality in the wavelet domain, brain MRI segmentation using discriminative clustering and feature selection, dynamic texture classification using hidden Markov models, an EEG-based biometric system using eigenvector centrality in brain networks, and cooperative mesh networks with decode-and-forward relays. The projects are implemented in languages like Matlab, C#, and NS2 and cover techniques such as NMF, deep neural networks, wavelets, hidden Markov models, and more.
On Demand Bandwidth Reservation for Real- Time Traffic in Cellular IP Network...IDES Editor
As real-time traffic requires more attention, it
is given priority over non-real-time traffic in Cellular IP
networks. Bandwidth reservation is often applied to serve
such traffic in order to achieve better Quality of Service
(QoS). Evolutionary Algorithms are quite useful in
solving optimization problems of such nature. This paper
employs Genetic Algorithm (GA) for bandwidth
management in Cellular IP network. It compares the
performance of the model with another model used for
optimizing Connection Dropping Probability (CDP) using
Particle Swarm Optimization (PSO). Both models, GA
based and PSO based, try to minimize the Connection
Dropping Probability for real-time users in the network
by searching the free available bandwidth in the user’s
cell or in the neighbor cells and assigning it to the realtime
users. Alternatively, if the free bandwidth is not
available, the model borrows the bandwidth from nonreal
time-users and gives it to the real-time users.
Experimental results evaluate the performance of the GA
based model. The comparative study between both the
models indicates that GA based model has an edge over
the PSO based one.
Peer to peer cache resolution mechanism for mobile ad hoc networksijwmn
In this paper we investigate the problem of cache resolution in a mobile peer to peer ad hoc network. In our
vision cache resolution should satisfy the following requirements: (i) it should result in low message
overhead and (ii) the information should be retrieved with minimum delay. In this paper, we show that
these goals can be achieved by splitting the one hop neighbours in to two sets based on the transmission
range. The proposed approach reduces the number of messages flooded in to the network to find the
requested data. This scheme is fully distributed and comes at very low cost in terms of cache overhead. The
experimental results gives a promising result based on the metrics of studies
Network Lifespan Maximization For Wireless Sensor Networks Using Nature-Inspi...IOSR Journals
This document proposes an Elephant Based Swarm Optimization (EBSO) approach to maximize the lifespan of wireless sensor networks. It models the wireless sensor network and describes elephants' social behavior that is inspiring the approach. Elephants exhibit unselfish behavior, strong memory, and ability to communicate and survive in large groups. The EBSO approach aims to adopt these behaviors through a cross-layer optimization of routing, MAC scheduling, and radio link parameters. It compares EBSO to LEACH and PSO protocols, showing EBSO extends network lifetime by balancing energy usage across nodes.
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
This document reviews various techniques for detecting blood vessels in retinal images. It discusses local entropy thresholding, matched filter methods, and Gaussian mixture models. Local entropy thresholding aims to maximize local entropy to extract vessels, but some structures may be missed. Matched filtering uses kernels to enhance vessels, but thin vessels can be hard to detect. Gaussian mixture models use expectation maximization to classify pixels into vessel and non-vessel classes. Other discussed techniques include fuzzy C-means clustering, Gabor wavelets, Hough transforms, and neural networks. Each technique has benefits but also limitations regarding preprocessing requirements, computation time, and ability to detect different vessel structures.
This document provides information on several 2015 IEEE Matlab projects related to signal processing and image analysis. It lists the project titles, languages, links, and abstracts for 10 different Matlab projects. The projects cover topics such as target source separation using deep neural networks, hyperspectral image classification using sparse representation, image denoising techniques, and cardiovascular biometrics.
This document lists several signal processing projects completed for IEEE in 2015. It includes projects on topics like target source separation using deep neural networks and NMF, image denoising using non-local means and a soft threshold, improving fingerprint image quality in the wavelet domain, brain MRI segmentation using discriminative clustering and feature selection, dynamic texture classification using hidden Markov models, an EEG-based biometric system using eigenvector centrality in brain networks, and cooperative mesh networks with decode-and-forward relays. The projects are implemented in languages like Matlab, C#, and NS2 and cover techniques such as NMF, deep neural networks, wavelets, hidden Markov models, and more.
On Demand Bandwidth Reservation for Real- Time Traffic in Cellular IP Network...IDES Editor
As real-time traffic requires more attention, it
is given priority over non-real-time traffic in Cellular IP
networks. Bandwidth reservation is often applied to serve
such traffic in order to achieve better Quality of Service
(QoS). Evolutionary Algorithms are quite useful in
solving optimization problems of such nature. This paper
employs Genetic Algorithm (GA) for bandwidth
management in Cellular IP network. It compares the
performance of the model with another model used for
optimizing Connection Dropping Probability (CDP) using
Particle Swarm Optimization (PSO). Both models, GA
based and PSO based, try to minimize the Connection
Dropping Probability for real-time users in the network
by searching the free available bandwidth in the user’s
cell or in the neighbor cells and assigning it to the realtime
users. Alternatively, if the free bandwidth is not
available, the model borrows the bandwidth from nonreal
time-users and gives it to the real-time users.
Experimental results evaluate the performance of the GA
based model. The comparative study between both the
models indicates that GA based model has an edge over
the PSO based one.
Peer to peer cache resolution mechanism for mobile ad hoc networksijwmn
In this paper we investigate the problem of cache resolution in a mobile peer to peer ad hoc network. In our
vision cache resolution should satisfy the following requirements: (i) it should result in low message
overhead and (ii) the information should be retrieved with minimum delay. In this paper, we show that
these goals can be achieved by splitting the one hop neighbours in to two sets based on the transmission
range. The proposed approach reduces the number of messages flooded in to the network to find the
requested data. This scheme is fully distributed and comes at very low cost in terms of cache overhead. The
experimental results gives a promising result based on the metrics of studies
Network Lifespan Maximization For Wireless Sensor Networks Using Nature-Inspi...IOSR Journals
This document proposes an Elephant Based Swarm Optimization (EBSO) approach to maximize the lifespan of wireless sensor networks. It models the wireless sensor network and describes elephants' social behavior that is inspiring the approach. Elephants exhibit unselfish behavior, strong memory, and ability to communicate and survive in large groups. The EBSO approach aims to adopt these behaviors through a cross-layer optimization of routing, MAC scheduling, and radio link parameters. It compares EBSO to LEACH and PSO protocols, showing EBSO extends network lifetime by balancing energy usage across nodes.
S3 INFOTECH +91 988 48 48 198
# 10/1, Jones Road, Saidapet, Chennai – 15. Ph: 044-3201 7467, 9884848198.
www.s3computers.com E-Mail: info@s3computers.com
The document lists 10 project titles from IEEE 2015 related to wireless networks and security. The projects address topics such as detecting malicious nodes in mobile ad hoc networks, enhancing security and caching in MANETs, providing multicast connectivity in flexgrid optical networks, and optimizing resource allocation and base station selection in heterogeneous networks.
The document contains 14 abstracts from IEEE 2012 papers related to networks and network security, wireless networks, mobile computing, wireless sensor networks, and knowledge and data mining. The abstracts summarize research on topics such as load balancing in content delivery networks, authentication protocols for ad-hoc networks, privacy and integrity in sensor networks, opportunistic routing in wireless networks, throughput maximization in wireless networks, and prediction of user web browsing behavior using Markov models.
This document summarizes a paper that presents a novel method for passive resource discovery in cluster grid environments. The method monitors network packet frequency from nodes' network interface cards to identify nodes with available CPU cycles (<70% utilization) by detecting latency signatures from frequent context switching. Experiments on a 50-node testbed showed the method can consistently and accurately discover available resources by analyzing existing network traffic, including traffic passed through a switch. The paper also proposes algorithms for distributed two-level resource discovery, replication and utilization to optimize resource allocation and access costs in distributed computing environments.
Fast and Scalable Semi Supervised Adaptation For Video Action RecognitionIJSRED
This document summarizes a research paper on developing a fast and scalable semi-supervised method for video action recognition using conditional random fields. The proposed method, called semi-supervised virtual evidence boosting (sVEB), simultaneously performs feature selection and semi-supervised training of CRFs using both labeled and unlabeled data. sVEB reduces the amount of labeling required during training while maintaining high accuracy, making it suitable for real-world applications. Experimental results on synthetic and activity recognition tasks demonstrate that sVEB outperforms other training techniques in terms of accuracy while being more computationally efficient.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet applications.
The document contains abstracts from 10 different research papers related to image processing and computer vision. The papers cover topics such as face recognition, reversible watermarking, building footprint detection from SAR images, change detection in remote sensing images, estimating information from image colors, vehicle detection, histology image retrieval, automatic license plate recognition, SAR image segmentation, and context-dependent logo matching and recognition.
1. The document evaluates the impact of virtual reality (VR) on liver surgical planning procedures. It proposes a VR-based model called the Virtual Liver Surgery Planning System (VLSPS) to enhance the surgical planning process.
2. A case study was conducted with 20 liver surgeons in Egypt. The results showed that the VLSPS was effective in training surgeons and shortening surgical planning time. It enabled more accurate quantitative analysis of liver structures.
3. The proposed VLSPS model integrated segmentation, refinement tools, and resection planning in a VR environment to improve pre-operative planning. Evaluation indicated the approach improved surgical decision making and efficiency.
A novel cache resolution technique for cooperative caching in wireless mobile...csandit
Cooperative caching is used in mobile ad hoc networks to reduce the latency perceived by the
mobile clients while retrieving data and to reduce the traffic load in the network. Caching also
increases the availability of data due to server disconnections. The implementation of a
cooperative caching technique essentially involves four major design considerations (i) cache
placement and resolution, which decides where to place and how to locate the cached data (ii)
Cache admission control which decides the data to be cached (iii) Cache replacement which
makes the replacement decision when the cache is full and (iv) consistency maintenance, i.e.
maintaining consistency between the data in server and cache. In this paper we propose an
effective cache resolution technique, which reduces the number of messages flooded in to the
network to find the requested data. The experimental results gives a promising result based on
the metrics of studies.
Permission marketing involves gaining a customer's consent and permission to contact them through relevant personalized messages, rather than interrupting them with unwanted marketing. It recognizes that customers now have power to ignore marketing and respects people by earning their attention over time. Sundance Vacations employs permission marketing by getting people to sign up for sweepstakes at events, with the entry form serving as consent to later contact the entrant through email and phone. However, permission marketing still relies initially on interruption marketing to gain a prospect's attention and develop a permission-based relationship.
The document summarizes Judaism during the Roman era. It describes how the Jews revolted against Roman rule in 66 AD due to their loss of national identity and desire for independence. The Romans defeated the Jews, destroyed Jerusalem and the Second Temple. Some Zealots held out at Masada but eventually committed suicide rather than surrender to the Romans. The defeat caused the surviving Jews to migrate throughout the Mediterranean and beyond. Their new communities were led by rabbis who shaped Judaism in the coming centuries.
Riya Patel created a YouTube channel and website called MedTechForTots to educate children about common medical tools and machines. The YouTube channel contains 8 videos describing tools like blood pressure monitors, stethoscopes, and x-ray machines. Riya also built a website using Weebly that hosts the videos and includes a photo slideshow and blog explaining what each tool does. The goal is to reduce children's fear of doctor visits through increased medical knowledge.
El documento describe una marcha contra la violencia de género organizada por el IES Maestro Eloy Vaquero el 25 de noviembre de 2011, incluyendo varias fotos que muestran a estudiantes y profesores participando en la marcha y sosteniendo pancartas en contra de la violencia hacia las mujeres.
٤. المواضيع الرئيسية
أ. إرث العهد القديم
١. الاقتباسات والإشارات الضمنية
٢. ملكوت السماوات
٣. الملك المسيحاني
٤. القادة اليهود غير المؤمنين
٥. التواضع واللطف
ب. شعب الله
١. الكنيسة
٢. عائلة الله
٣. الدعوة
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The school has recently completed several renovation projects including replacing all the windows over 4 years, installing a new pathway for nearly £13,000, and putting in a new perimeter fence and two new gates for the field. The headteacher and staff express gratitude for the help received from parents and donors that made these capital projects possible and helped invest in the school's future.
El documento enumera varias áreas estratégicas que no se consideran monopolios del Estado de acuerdo con la Constitución mexicana. Estas áreas incluyen minerales radiactivos, telegrafos, correos, energía nuclear, distribución de energía eléctrica, extracción de petróleo, comunicación vía satélite, ferrocarriles, banca central, emisión de monedas y billetes, asociaciones de trabajadores y cooperativas de productores bajo vigilancia del gobierno, y privilegios temporales concedidos a aut
S3 INFOTECH +91 988 48 48 198
# 10/1, Jones Road, Saidapet, Chennai – 15. Ph: 044-3201 7467, 9884848198.
www.s3computers.com E-Mail: info@s3computers.com
The document lists 10 project titles from IEEE 2015 related to wireless networks and security. The projects address topics such as detecting malicious nodes in mobile ad hoc networks, enhancing security and caching in MANETs, providing multicast connectivity in flexgrid optical networks, and optimizing resource allocation and base station selection in heterogeneous networks.
The document contains 14 abstracts from IEEE 2012 papers related to networks and network security, wireless networks, mobile computing, wireless sensor networks, and knowledge and data mining. The abstracts summarize research on topics such as load balancing in content delivery networks, authentication protocols for ad-hoc networks, privacy and integrity in sensor networks, opportunistic routing in wireless networks, throughput maximization in wireless networks, and prediction of user web browsing behavior using Markov models.
This document summarizes a paper that presents a novel method for passive resource discovery in cluster grid environments. The method monitors network packet frequency from nodes' network interface cards to identify nodes with available CPU cycles (<70% utilization) by detecting latency signatures from frequent context switching. Experiments on a 50-node testbed showed the method can consistently and accurately discover available resources by analyzing existing network traffic, including traffic passed through a switch. The paper also proposes algorithms for distributed two-level resource discovery, replication and utilization to optimize resource allocation and access costs in distributed computing environments.
Fast and Scalable Semi Supervised Adaptation For Video Action RecognitionIJSRED
This document summarizes a research paper on developing a fast and scalable semi-supervised method for video action recognition using conditional random fields. The proposed method, called semi-supervised virtual evidence boosting (sVEB), simultaneously performs feature selection and semi-supervised training of CRFs using both labeled and unlabeled data. sVEB reduces the amount of labeling required during training while maintaining high accuracy, making it suitable for real-world applications. Experimental results on synthetic and activity recognition tasks demonstrate that sVEB outperforms other training techniques in terms of accuracy while being more computationally efficient.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet applications.
The document contains abstracts from 10 different research papers related to image processing and computer vision. The papers cover topics such as face recognition, reversible watermarking, building footprint detection from SAR images, change detection in remote sensing images, estimating information from image colors, vehicle detection, histology image retrieval, automatic license plate recognition, SAR image segmentation, and context-dependent logo matching and recognition.
1. The document evaluates the impact of virtual reality (VR) on liver surgical planning procedures. It proposes a VR-based model called the Virtual Liver Surgery Planning System (VLSPS) to enhance the surgical planning process.
2. A case study was conducted with 20 liver surgeons in Egypt. The results showed that the VLSPS was effective in training surgeons and shortening surgical planning time. It enabled more accurate quantitative analysis of liver structures.
3. The proposed VLSPS model integrated segmentation, refinement tools, and resection planning in a VR environment to improve pre-operative planning. Evaluation indicated the approach improved surgical decision making and efficiency.
A novel cache resolution technique for cooperative caching in wireless mobile...csandit
Cooperative caching is used in mobile ad hoc networks to reduce the latency perceived by the
mobile clients while retrieving data and to reduce the traffic load in the network. Caching also
increases the availability of data due to server disconnections. The implementation of a
cooperative caching technique essentially involves four major design considerations (i) cache
placement and resolution, which decides where to place and how to locate the cached data (ii)
Cache admission control which decides the data to be cached (iii) Cache replacement which
makes the replacement decision when the cache is full and (iv) consistency maintenance, i.e.
maintaining consistency between the data in server and cache. In this paper we propose an
effective cache resolution technique, which reduces the number of messages flooded in to the
network to find the requested data. The experimental results gives a promising result based on
the metrics of studies.
Permission marketing involves gaining a customer's consent and permission to contact them through relevant personalized messages, rather than interrupting them with unwanted marketing. It recognizes that customers now have power to ignore marketing and respects people by earning their attention over time. Sundance Vacations employs permission marketing by getting people to sign up for sweepstakes at events, with the entry form serving as consent to later contact the entrant through email and phone. However, permission marketing still relies initially on interruption marketing to gain a prospect's attention and develop a permission-based relationship.
The document summarizes Judaism during the Roman era. It describes how the Jews revolted against Roman rule in 66 AD due to their loss of national identity and desire for independence. The Romans defeated the Jews, destroyed Jerusalem and the Second Temple. Some Zealots held out at Masada but eventually committed suicide rather than surrender to the Romans. The defeat caused the surviving Jews to migrate throughout the Mediterranean and beyond. Their new communities were led by rabbis who shaped Judaism in the coming centuries.
Riya Patel created a YouTube channel and website called MedTechForTots to educate children about common medical tools and machines. The YouTube channel contains 8 videos describing tools like blood pressure monitors, stethoscopes, and x-ray machines. Riya also built a website using Weebly that hosts the videos and includes a photo slideshow and blog explaining what each tool does. The goal is to reduce children's fear of doctor visits through increased medical knowledge.
El documento describe una marcha contra la violencia de género organizada por el IES Maestro Eloy Vaquero el 25 de noviembre de 2011, incluyendo varias fotos que muestran a estudiantes y profesores participando en la marcha y sosteniendo pancartas en contra de la violencia hacia las mujeres.
٤. المواضيع الرئيسية
أ. إرث العهد القديم
١. الاقتباسات والإشارات الضمنية
٢. ملكوت السماوات
٣. الملك المسيحاني
٤. القادة اليهود غير المؤمنين
٥. التواضع واللطف
ب. شعب الله
١. الكنيسة
٢. عائلة الله
٣. الدعوة
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The school has recently completed several renovation projects including replacing all the windows over 4 years, installing a new pathway for nearly £13,000, and putting in a new perimeter fence and two new gates for the field. The headteacher and staff express gratitude for the help received from parents and donors that made these capital projects possible and helped invest in the school's future.
El documento enumera varias áreas estratégicas que no se consideran monopolios del Estado de acuerdo con la Constitución mexicana. Estas áreas incluyen minerales radiactivos, telegrafos, correos, energía nuclear, distribución de energía eléctrica, extracción de petróleo, comunicación vía satélite, ferrocarriles, banca central, emisión de monedas y billetes, asociaciones de trabajadores y cooperativas de productores bajo vigilancia del gobierno, y privilegios temporales concedidos a aut
The document discusses how the media product of a magazine and poster for a horror film called "Adeline" used conventions of real horror magazines and posters to make the products look authentic. Specifically, it discusses how the magazine was styled after Fangoria magazine in terms of colors, layout, and promotional elements. The poster used a dark, mysterious background and font styles seen in other horror films. Both the magazine and poster featured the same title, tagline, and main character to maintain continuity across the media products.
Joe cala - focus on getting bigger before trying to get betterSean Bradley
Getting better individually is key to achieving bigger goals collectively. The document emphasizes evaluating and educating oneself in order to continuously improve. It encourages focusing on building a strong personal foundation before trying to expand or achieve more. When each person works on bettering themselves, it allows the whole to reach greater capacities and accomplishments.
AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...acijjournal
ABSTRACT
Measurements of retinal blood vessel morphology have been shown to be related to the risk of cardiovascular diseases. The wrong identification of vessels may result in a large variation of these measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of automatically identifying true vessels as a post processing step to vascular structure segmentation. We model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images. Experiment results are analyzed with respect to actual measurements of vessel morphology. The results show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.
AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...acijjournal
Measurements of retinal blood vessel morphology have been shown to be related to the risk of
cardiovascular diseases. The wrong identification of vessels may result in a large variation of these
measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of
automatically identifying true vessels as a post processing step to vascular structure segmentation. We
model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying
vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to
solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images.
Experiment results are analyzed with respect to actual measurements of vessel morphology. The results
show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true
vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.
Novel Class Detection Using RBF SVM Kernel from Feature Evolving Data Streamsirjes
In the data mining field the classification of data stream creates many problems. The challenges
faces in the data stream are infinite length, concept drift, concept evaluation and feature evolution. Most of the
existing system focuses on the only first two challenges. We propose a framework in which each classifier is
prepared with the novel class detector for addressing the two challenges concept drift and concept evaluation
and for addressing the feature evolution feature set homogeneous technique is proposed. We improved the
novel class detection module by building it more adaptive to evolving the stream. SVM based feature extraction
for RBF kernel method is also proposed for detecting the novel class from the steaming data. By using the
concept of permutation and combination RBF kernel extracts the features and find out the relation between
them. This improves the novel class detect technique and provide more accuracy for classifying the data
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
JAVA 2013 IEEE DATAMINING PROJECT Distributed web systems performance forecas...IEEEGLOBALSOFTTECHNOLOGIES
The document discusses using the Turning Bands (TB) geostatistical simulation method to predict the performance of distributed web systems. Real-life data on download times was collected from over 60 web servers monitored from different locations worldwide. The TB method was applied to this data to generate spatial-temporal predictions of web performance. The results showed the TB method provided good quality forecasts, especially for European servers monitored from Poland. The study aims to develop a robust spatio-temporal prediction algorithm using the TB method to efficiently forecast client-perceived web performance.
Retinal Vessel Segmentation in U-Net Using Deep LearningIRJET Journal
This document describes research on using a U-Net convolutional neural network for retinal blood vessel segmentation. It proposes a modified U-Net architecture with fewer parameters to segment vessels in retinal images. The model achieves high performance, outperforming manual segmentation by experts. It pre-processes training and test images before running them through the U-Net model in patches to generate vessel/non-vessel predictions pixel-by-pixel to extract the retinal vasculature. The model is tested on DRIVE dataset images and achieves high accuracy, recall, precision and F1-score, demonstrating its effectiveness at automated retinal vessel segmentation.
This document provides information on several remote sensing projects from IEEE 2015. It lists the titles, languages, and abstracts for 8 projects related to classification and analysis of hyperspectral and multispectral images. The projects focus on techniques such as sparse representation in tangent space, Gabor feature-based collaborative representation, level set evolutions for object extraction, and dimension reduction using spatial and spectral regularization.
The document proposes a new method called the Brownian correlation metric prototypical network (BCMPN) for fault diagnosis of rotating machinery. The BCMPN uses a multi-scale mask preprocessing mechanism to improve model performance. It extracts multi-scale features using dilation convolution and an effective light channel attention module. For classification, it measures the difference between the joint feature function and product of marginal distributions using Brownian distance, unlike existing methods that use Euclidean or cosine distance. Experiments on gear dataset and laboratory data show the BCMPN performs better than other methods for problems with few training samples and zero samples in the target domain.
IDENTIFICATION AND INVESTIGATION OF THE USER SESSION FOR LAN CONNECTIVITY VIA...ijcseit
This paper mainly presents some technical discussions on the identification and analyze of “LAN usersessions”.
The identification of a user-session is non trivial. Classical methods approaches rely on
threshold based mechanisms. Threshold based techniques are very sensitive to the value chosen for the
threshold, which may be difficult to set correctly. Clustering techniques are used to define a novel
methodology to identify LAN user-sessions without requiring an a priori definition of threshold values. We
have defined a clustering based approach in detail, and also we discussed positive and negative of this
approach, and we apply it to real traffic traces. The proposed methodology is applied to artificially
generated traces to evaluate its benefits against traditional threshold based approaches. We also analyzed
the characteristics of user-sessions extracted by the clustering methodology from real traces and study
their statistical properties.
Performance Comparison Analysis for Medical Images Using Deep Learning Approa...IRJET Journal
This document discusses and compares several deep learning approaches for analyzing medical images, specifically chest x-rays. It first provides an abstract that outlines comparing existing technologies for analyzing chest x-rays using deep learning. It then reviews literature on models like convolutional neural networks (CNN), fully convolutional networks (FCN), lookup-based convolutional neural networks (LCNN), and deep cascade of convolutional neural networks (DCCNN) that have been applied to tasks like image segmentation, classification, and quality assessment of medical images. The document compares the performance of these models on different medical image datasets based on accuracy metrics.
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Reconstruction of Objects with VSN M.Priscilla - UG Scholar,
B.Nandhini - UG Scholar,
S.Manju - UG Scholar,
S.Shafiqa Shalaysha – UG Scholar,
Christo Ananth - Assistant Professor,
Department of ECE,
Francis Xavier Engineering College, Tirunelveli, India
M.Phil Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.Phil Computer Science students.
M.E Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.E Computer Science students.
M.Phil Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.Phil Computer Science students.
M.E Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.E Computer Science students.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Assessment and Planning in Educational technology.pptx
IEEE 2014 Java Projects
1. IEEE 2014 Java Projects
Web : www.kasanpro.com Email : sales@kasanpro.com
List Link : http://kasanpro.com/projects-list/ieee-2014-java-projects
Title :Brain Tumor Detection using Region based Iterative Reconstruction and Segmentation
Language : Java
Project Link : http://kasanpro.com/p/java/brain-tumor-detection-region-based-iterative-reconstruction-segmentation
Abstract : X-ray computed tomography (CT) is a powerful tool for noninvasive imaging of time-varying objects.
Identifiying tumors from the CT image is a chalanging one. In this paper we proposed a reconstruct method for CT
image and tumors are detected then using edge based segmentation algorithm.. In the past, methods have been
proposed to reconstruct images from continuously changing objects. For discretely or structurally changing objects,
however, such methods fail to reconstruct high quality images, mainly because assumptions about continuity are no
longer valid. In this paper, we propose a method to reconstruct structurally changing objects. Starting from the
observation that there exist regions within the scanned object that remain unchanged over time, we introduce an
iterative optimization routine that can automatically determine these regions and incorporate this knowledge in an
algebraic reconstruction method. And tumor detection was made from the reconstructed image.
Title :Change Detection of Hyper Spectral Remote Sensing Image by Multilevel Image Segmentation
Language : Java
Project Link :
http://kasanpro.com/p/java/change-detection-hyper-spectral-remote-sensing-image-multilevel-image-segmentation
Abstract : Land cover composition and change are important factors that affect ecosystem condition and function.
Remote sensing is the most important and effective way to acquire data of land cover. The paper proposes an
Improved Change detection with Hyperspectral remote sensing images. Hyperspectral remote sensing images
contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design
accurate and efficient image segmentation algorithms for such imagery. In this paper, a new multilevel thresholding
method is introduced for the seg- mentation of hyperspectral and multispectral images. The new method is based on
fractional-order Darwinian particle swarm optimization (FODPSO) which exploits the many swarms of test solutions
that may exist at any time. In addition, the concept of fractional derivative is used to control the convergence rate of
particles. And finally Post-classification Comparison Change Detection applied which is the most commonly used
quantitative method of change detection.
Title :Automatic graph based approach for prior detection of diabetes and hypertension in retinal images
Language : Java
Project Link :
http://kasanpro.com/p/java/automatic-graph-based-prior-detection-diabetes-hypertension-retinal-images
Abstract : Retinal vessels are affected by several systemic diseases, namely diabetes, hypertension, and vascular
disorders. In diabetic retinopathy, the blood vessels often show abnormalities at early stages, as well as vessel
diameter alterations . Changes in retinal blood vessels, such as significant dilatation and elongation of main arteries,
veins, and their branches are also frequently associated with hypertension and other cardiovascular pathologies. The
classification of retinal vessels into artery/vein (A/V) is an important phase for automating the detection of vascular
changes, and for the calculation of characteristic signs associated with several systemic diseases such as diabetes,
hypertension, and other cardiovascular conditions. This paper presents an automatic approach for A/V classification
based on the analysis of a graph extracted from the retinal vasculature. The proposed method classifies the entire
vascular tree deciding on the type of each intersection point (graph nodes) and assigning one of two labels to each
vessel segment (graph links). Final classification of a vessel segment as A/V is performed through the combination of
the graph-based labeling results with a set of intensity features. The features were extracted, including exudates,
bifurcation angle, artery-to-veins diameter ratio, mean artery and veins diameters, form and size of optic disc, and
vessel tortuosity. And the identification of diabetes are made by the rule based conditions.
2. Title :Ontology-based annotation and retrieval of services in the cloud
Language : Java
Project Link : http://kasanpro.com/p/java/ontology-based-annotation-retrieval-services-cloud
Abstract : Cloud computing is a technological paradigm that permits computing services to be offered over the
Internet. This new service model is closely related to previous well-known distributed computing initiatives such as
Web services and grid computing. In the current socio-economic climate, the affordability of cloud computing has
made it one of the most popular recent innovations. This has led to the availability of more and more cloud services,
as a consequence of which it is becoming increasingly difficult for service consumers to find and access those cloud
services that fulfil their requirements. In this paper, we present a semantically-enhanced platform that will assist in the
process of discovering the cloud services that best match user needs. This fully-fledged system encompasses two
basic functions: the creation of a repository with the semantic description of cloud services and the search for services
that accomplish the required expectations. The cloud service's semantic repository is generated by means of an
automatic tool that first annotates the cloud service descriptions with semantic content and then creates a semantic
vector for each service. The comprehensive evaluation of the tool in the ICT domain has led to very promising results
that outperform state-of-the-art solutions in similarly broad domains.
Title :Comprehensive Explanation of SLA Violations at Runtime
Language : Java
Project Link : http://kasanpro.com/p/java/comprehensive-explanation-sla-violations-runtime
Abstract : Service Level Agreements (SLAs) establish the Quality of Service (QoS) agreed between service-based
systems consumers and providers. Since the violation of such SLAs may involve penalties, quality assurance
techniques have been developed to supervise the SLAs fulfillment at runtime. However, existing proposals present
some drawbacks: 1) the SLAs they support are not expressive enough to model real-world scenarios, 2) they couple
the monitoring configuration to a given SLA specification, 3) the explanations of the violations are difficult to
understand and even potentially inaccurate, 4) some proposals either do not provide an architecture, or present low
cohesion within their elements. In this paper, we propose a comprehensive solution, from a conceptual reference
model to its design and implementation, that overcomes these drawbacks. The resulting platform, SALMonADA,
receives the SLA agreed between the parties as input and reports timely and comprehensive explanations of SLA
violations. SALMonADA performs an automated monitoring configuration and it analyses highly expressive SLAs by
means of a constraint satisfaction problems based technique. We have evaluated the impact of SALMonADA over the
resulting service consumption time performance. The results are satisfactory enough to consider SALMonADA for
SLA supervision because of its low intrusiveness.
IEEE 2014 Java Projects
Title :Region-Based Iterative Reconstruction of Structurally Changing Objects in CT
Language : Java
Project Link : http://kasanpro.com/p/java/region-based-iterative-reconstruction-structurally-changing-objects-ct
Abstract : X-ray computed tomography (CT) is a powerful tool for noninvasive imaging of time-varying objects. In the
past, methods have been proposed to reconstruct images from continuously changing objects. For discretely or
structurally changing objects, however, such methods fail to reconstruct high quality images, mainly because
assumptions about continuity are no longer valid. In this paper, we propose a method to reconstruct structurally
changing objects. Starting from the observation that there exist regions within the scanned object that remain
unchanged over time, we introduce an iterative optimization routine that can automatically determine these regions
and incorporate this knowledge in an algebraic reconstruction method. The proposed algorithm was validated on
simulation data and experimental ?CT data, illustrating its capability to reconstruct structurally changing objects more
accurately in comparison to current techniques.
Title :Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization
Language : Java
Project Link : http://kasanpro.com/p/java/multilevel-image-segmentation-based-particle-swarm-optimization
Abstract : Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality
of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such
imagery. In this paper, a new multilevel thresholding method is introduced for the segmentation of hyperspectral and
multispectral images. The new method is based on fractional-order Darwinian particle swarm optimization (FODPSO)
3. which exploits the many swarms of test solutions that may exist at any time. In addition, the concept of fractional
derivative is used to control the convergence rate of particles. In this paper, the so-called Otsu problem is solved for
each channel of the multispectral and hyperspectral data. Therefore, the problem of n-level thresholding is reduced to
an optimization problem in order to search for the thresholds that maximize the between-class variance. Experimental
results are favorable for the FODPSO when compared to other bioinspired methods for multilevel segmentation of
multispectral and hyperspectral images. The FODPSO presents a statistically significant improvement in terms of both
CPU time and fitness value, i.e., the approach is able to find the optimal set of thresholds with a larger between-class
variance in less computational time than the other approaches. In addition, a new classification approach based on
support vector machine (SVM) and FODPSO is introduced in this paper. Results confirm that the new segmentation
method is able to improve upon results obtained with the standard SVM in terms of classification accuracies.
Title :An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images
Language : Java
Project Link : http://kasanpro.com/p/java/an-automatic-graph-based-artery-vein-classification-retinal-images
Abstract : The classification of retinal vessels into artery/vein (A/V) is an important phase for automating the
detection of vascular changes, and for the calculation of characteristic signs associated with several systemic
diseases such as diabetes, hypertension, and other cardiovascular conditions. This paper presents an automatic
approach for A/V classification based on the analysis of a graph extracted from the retinal vasculature. The proposed
method classifies the entire vascular tree deciding on the type of each intersection point (graph nodes) and assigning
one of two labels to each vessel segment (graph links). Final classification of a vessel segment as A/V is performed
through the combination of the graph-based labeling results with a set of intensity features. The results of this
proposed method are compared with manual labeling for three public databases. Accuracy values of 88.3%, 87.4%,
and 89.8% are obtained for the images of the INSPIREAVR, DRIVE, and VICAVR databases, respectively. These
results demonstrate that our method outperforms recent approaches for A/V classification.
http://kasanpro.com/ieee/final-year-project-center-dharmapuri-reviews