A group of eye conditions known as glaucoma impair the optic nerve, which is in charge of sending visual data from the eye to the brain. Glaucoma impacts 3.54% of adults aged 40 to 80 around the world. Early detection...
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A group of eye conditions known as glaucoma impair the optic nerve, which is in charge of sending visual data from the eye to the brain. Glaucoma impacts 3.54% of adults aged 40 to 80 around the world. Early detection of glaucoma is crucial as it can prevent total optic nerve damage, which would cause irreversible vision loss. It is possible for specialists to diagnose glaucoma medically, but treatment options are either expensive or time-consuming and requires ongoing care from medical professionals. there have been numerous initiatives at streamlining all components of the glaucoma categorization process, however these models are challenging for users to comprehend the key predictors, resulting in them being unreliable for use by medical experts. the study uses eye fundus images to classify glaucoma patients using three distinct Deep Learning techniques: Convolutional neural network, Visual Geometry Group 16 (VGG16), and Global Context Network (GC-Net). In addition, several data pre-processing techniques are used to avoid overfitting and achieve high accuracy. this research compares and analyses the performance of various architectures using the aforementioned techniques. the CNN model had the best accuracy of 83% when in contrast to the other deep learning models.
Approximate computing enhances energy efficiency by allowing hardware to deliver sufficiently accurate results tailored to specific applications, prioritizing energy savings over absolute precision. An essential domai...
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Efficient image processingarchitectures are consistently in demand across a multitude of applications, particularly those customized for resource-constrained systems-on-chip (SoC). the increasing need for high-perfor...
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ISBN:
(纸本)9798400709586
Efficient image processingarchitectures are consistently in demand across a multitude of applications, particularly those customized for resource-constrained systems-on-chip (SoC). the increasing need for high-performance image processing in various sectors has driven the development of specialized architectures. However, deploying such architectures on platforms with limited resources, such as SoCs, poses significant challenges. Furthermore, the implementation of complex algorithms to handle large datasets using software solutions often leads to slower response times, prompting exploration into hardware implementations. Field-Programmable Gate Arrays (FPGAs) are becoming popular for hardware implementations because of their attributes: low latency, connectivity, parallel computing capabilities, and flexibility. Consequently, the utilization of FPGA-based implementations has resulted in faster and more efficient performance of unique architectures tailored to specific requirements. this paper presents a novel hardware/software co-design approach to implement erosion, dilation, and neighborhood image processing operations on the FPGA development board, "Zedboard". In this approach, the FPGA is programmed by connecting it to a PC via USB, facilitating the transfer of an image pixel by pixel. the pixels are temporarily stored in on-chip DDR and accessed through DMA (Direct Memory Access) until they are requested by an interrupt signal from the Image processing IP, at which point they are moved to line buffers for faster processing. Once processed, the image is transmitted back to the PC via UART, facilitating pixel-by-pixel transfer for verification, where it is compared with a reference image generated using Python. this comparison confirms a 99.22% match between the processed image and the reference image, withthe discrepancy occurring at the image's edges due to initial padding. Additionally, the time required to process the entire image was measured and displayed
the proceedings contain 73 papers. the topics discussed include: accelerating the dynamic programming for the optimal polygon triangulation on the GPU;security computing for the resiliency of protecting from internal ...
ISBN:
(纸本)9783642330643
the proceedings contain 73 papers. the topics discussed include: accelerating the dynamic programming for the optimal polygon triangulation on the GPU;security computing for the resiliency of protecting from internal attacks in distributed wireless sensor networks;optimization of a short-range proximity effect correction algorithm in e-beam lithography using GPGPUs;vectorized algorithms for Quadtree construction and descent;an optimal parallel prefix-sums algorithm on the memory machine models for GPUs;enhancing the performance of a distributed mobile computing environment by topology construction;maintaining consistency in software transactional memory through dynamic versioning tuning;a new low latency parallel turbo decoder employing parallel phase decoding method;high-performance matrix multiply on a massively multithreaded Fiteng1000 processor;and on construction of Cloud IaaS for VM live migration using KVM and OpenNebula.
the proceedings contain 73 papers. the topics discussed include: accelerating the dynamic programming for the optimal polygon triangulation on the GPU;security computing for the resiliency of protecting from internal ...
ISBN:
(纸本)9783642330773
the proceedings contain 73 papers. the topics discussed include: accelerating the dynamic programming for the optimal polygon triangulation on the GPU;security computing for the resiliency of protecting from internal attacks in distributed wireless sensor networks;optimization of a short-range proximity effect correction algorithm in e-beam lithography using GPGPUs;vectorized algorithms for Quadtree construction and descent;an optimal parallel prefix-sums algorithm on the memory machine models for GPUs;enhancing the performance of a distributed mobile computing environment by topology construction;maintaining consistency in software transactional memory through dynamic versioning tuning;a new low latency parallel turbo decoder employing parallel phase decoding method;high-performance matrix multiply on a massively multithreaded Fiteng1000 processor;and on construction of Cloud IaaS for VM live migration using KVM and OpenNebula.
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote fi...
ISBN:
(纸本)3642131352
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote files;query optimization over parallel relational data warehouses in distributed environments by simultaneous fragmentation and allocation;a high efficient on-chip interconnection network in SIMD CMPs;design of a slot assignment scheme for link error distribution on wireless grid networks;dynamic resource tuning for flexible core chip multiprocessors;a grid based system for closure computation and online service;parallel domain decomposition methods for high-order finite element solutions of the Helmholtz problem;frequencies;quick forwarding of queries to relevant peers in a hierarchical P2P file search system;cluster-fault-tolerant routing in burnt pancake graphs;and edge-bipancyclicity of all conditionally faulty hypercubes.
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote fi...
ISBN:
(纸本)3642131182
the proceedings contain 95 papers. the topics discussed include: scalable co-clustering algorithms;parallel prefix computation in the recursive dual-net;a two-phase differential synchronization algorithm for remote files;query optimization over parallel relational data warehouses in distributed environments by simultaneous fragmentation and allocation;a high efficient on-chip interconnection network in SIMD CMPs;design of a slot assignment scheme for link error distribution on wireless grid networks;dynamic resource tuning for flexible core chip multiprocessors;a grid based system for closure computation and online service;parallel domain decomposition methods for high-order finite element solutions of the Helmholtz problem;frequencies;quick forwarding of queries to relevant peers in a hierarchical P2P file search system;cluster-fault-tolerant routing in burnt pancake graphs;and edge-bipancyclicity of all conditionally faulty hypercubes.
the proceedings contain 52 papers. the topics discussed include: improving concurrent write scheme in file server group;a practical comparison of cluster operating systems implementing sequential and transactional con...
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ISBN:
(纸本)3540292357
the proceedings contain 52 papers. the topics discussed include: improving concurrent write scheme in file server group;a practical comparison of cluster operating systems implementing sequential and transactional consistency;a recursive-adjustment co-allocation scheme in data grid environments;reducing the bandwidth requirements of P2P keyword indexing;localization techniques for cluster-based data grid;an efficient dynamic load-balancing algorithm in a large scale cluster;job scheduling policy for high throughput grid computing;data distribution strategies for domain decomposition applications in grid environments;and a practical comparison of cluster operating systems implementing sequential and transactional consistency.
the proceedings contain 145 papers. the special focus in this conference is on algorithms and architectures for parallelprocessing. the topics include: An Improved Heterogeneous Dynamic List Schedule Algorithm;fastth...
ISBN:
(纸本)9783030602383
the proceedings contain 145 papers. the special focus in this conference is on algorithms and architectures for parallelprocessing. the topics include: An Improved Heterogeneous Dynamic List Schedule Algorithm;fastthetaJoin: An Optimization on Multi-way Data Stream θ -join with Range Constraints;a Distributed Framework for Online Stream Data Clustering;end-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks;broad Learning System with Proportional-Integral-Differential Gradient Descent;Accelerating De Novo Assembler WTDBG2 on Commodity Servers;Typing Everywhere with an EMG Keyboard: A Novel Myo Armband-Based HCI Tool;accelerating Pattern Matching on Intel Xeon Phi Processors;Redistributing and Optimizing High-Resolution Ocean Model POP2 to Million Sunway Cores;Efficient Sorting and Join on NVM-Based Hybrid Memory;performance Optimization for Feature Extraction Section of DeepChem;principal Component Analysis for Fingerprint Positioning;priority Based Service Placement Strategy in Heterogeneous Mobile Edge Computing;VTC: A Scheduling Framework Between Soft Real-Time and Hard Real-Time on Multimedia OS;A BSP Based Approach for NFAs Intersection;tight Bound of parallel Request Latency for Erasure-Coded Distributed Storage System;High-Performance Simulations on GPUs Using Adaptive Time Steps;Performance Modeling of Stencil Computation on SW26010 Processors;Optimizing B+ -Tree Searches on Coupled CPU-GPU architectures;OCVM: Optimizing the Isolation of Virtual Machines with Open-Channel SSDs;parallel SCC Detection Based on Reusing Warps and Coloring Partitions on GPUs;CANRT: A Client-Active NVM-Based Radix Tree for Fast Remote Access;distributed and parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition;SWAF: A Distributed Solar WSN Adaptive Framework.
the proceedings contain 145 papers. the special focus in this conference is on algorithms and architectures for parallelprocessing. the topics include: An Improved Heterogeneous Dynamic List Schedule Algorithm;fastth...
ISBN:
(纸本)9783030602444
the proceedings contain 145 papers. the special focus in this conference is on algorithms and architectures for parallelprocessing. the topics include: An Improved Heterogeneous Dynamic List Schedule Algorithm;fastthetaJoin: An Optimization on Multi-way Data Stream θ -join with Range Constraints;a Distributed Framework for Online Stream Data Clustering;end-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks;broad Learning System with Proportional-Integral-Differential Gradient Descent;Accelerating De Novo Assembler WTDBG2 on Commodity Servers;Typing Everywhere with an EMG Keyboard: A Novel Myo Armband-Based HCI Tool;accelerating Pattern Matching on Intel Xeon Phi Processors;Redistributing and Optimizing High-Resolution Ocean Model POP2 to Million Sunway Cores;Efficient Sorting and Join on NVM-Based Hybrid Memory;performance Optimization for Feature Extraction Section of DeepChem;principal Component Analysis for Fingerprint Positioning;priority Based Service Placement Strategy in Heterogeneous Mobile Edge Computing;VTC: A Scheduling Framework Between Soft Real-Time and Hard Real-Time on Multimedia OS;A BSP Based Approach for NFAs Intersection;tight Bound of parallel Request Latency for Erasure-Coded Distributed Storage System;High-Performance Simulations on GPUs Using Adaptive Time Steps;Performance Modeling of Stencil Computation on SW26010 Processors;Optimizing B+ -Tree Searches on Coupled CPU-GPU architectures;OCVM: Optimizing the Isolation of Virtual Machines with Open-Channel SSDs;parallel SCC Detection Based on Reusing Warps and Coloring Partitions on GPUs;CANRT: A Client-Active NVM-Based Radix Tree for Fast Remote Access;distributed and parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition;SWAF: A Distributed Solar WSN Adaptive Framework.
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