2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS), 2019
Edge Detection in image processing is very important due to large number of applications it offer... more Edge Detection in image processing is very important due to large number of applications it offers in variety of fields that extend from medical imaging to text and object detection, security, mapping of roads, real time traffic management, image inpainting, video surveillance and many more. Traditional methods for edge detection mostly rely on gradient filter based algorithms which usually require excessive pre-processing of the images for noise reduction and post-processing of the generated results in order to get fine edges. Moreover, traditional algorithms are not reliable generally because as the noise in images increases their efficiency is affected largely due to increase of mask size which also makes the system computationally expensive. In this paper, we will employ CNN method to detect edges of roof images. Incorporating CNN into edge detection problem makes the whole system simple, fast, and reliable. Moreover, with no more extra training and without additional feature ex...
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneratio... more Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on intensity level thresholding of high reflective pixels around retinal nerve fiber layer (RNFL). A dataset of 50 different B-scan is taken with having 25 AMD and 25 heathy images. Bottom layer of the retina known as RPE layer is extracted and analyzed by fitting a second order polynomial curve. The difference between both the curvess decide the class of the image. Results show an accurate detection of drusen with 96 % accuracy.
2021 IEEE 7th International Conference on Network Softwarization (NetSoft), 2021
Intent-Based Networking (IBN) is a model that enables proactive network control and automation to... more Intent-Based Networking (IBN) is a model that enables proactive network control and automation to satisfy high-level demands. It follows a closed-loop mechanism that abstracts the network complexity and dynamically allows updates to the network monitoring and intelligence. Hence, it eliminates the traditionally practiced error-prone manual network control. In contrast with the traditional reactive approach, IBN-based approach promotes the proactive and dynamic solution. To this end, IBN uses machine learning (ML) to predict the future and keeps a balance between the intended and actual state. Hence, this work considers an IBN-driven routing mechanism to ensure service provisioning with the desired quality of service (QoS). In contrast to the traditional static routing scheme, this work considers AI-driven dynamic and proactively updatable routing schemes to ensure QoS. This work demonstrates AI-driven service route control mechanism for ensuring quality of service (QoS) on top of Ko...
On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV... more On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be avoided by using the Intent-Based Networking (IBN) approach. The IBN approach eliminates the requirement of expertise for designing VNFs and NS by taking users’ intentions as an input. In this paper, the proposed system presents the Intent Management System for VNF modeling and end-to-end NS orchestration for multi-platforms. This system takes the high-level information related to a specific s...
The fifth-generation mobile network presents a wide range of services which have different requir... more The fifth-generation mobile network presents a wide range of services which have different requirements in terms of performance, bandwidth, reliability, and latency. The legacy networks are not capable to handle these diverse services with the same physical infrastructure. In this way, network virtualization presents a reliable solution named network slicing that supports service heterogeneity and provides differentiated resources to each service. Network slicing enables network operators to create multiple logical networks over a common physical infrastructure. In this research article, we have designed and implemented an intent-based network slicing system that can slice and manage the core network and radio access network (RAN) resources efficiently. It is an automated system, where users just need to provide higher-level network configurations in the form of intents/contracts for a network slice, and in return, our system deploys and configures the requested resources accordingl...
2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS), 2019
Edge Detection in image processing is very important due to large number of applications it offer... more Edge Detection in image processing is very important due to large number of applications it offers in variety of fields that extend from medical imaging to text and object detection, security, mapping of roads, real time traffic management, image inpainting, video surveillance and many more. Traditional methods for edge detection mostly rely on gradient filter based algorithms which usually require excessive pre-processing of the images for noise reduction and post-processing of the generated results in order to get fine edges. Moreover, traditional algorithms are not reliable generally because as the noise in images increases their efficiency is affected largely due to increase of mask size which also makes the system computationally expensive. In this paper, we will employ CNN method to detect edges of roof images. Incorporating CNN into edge detection problem makes the whole system simple, fast, and reliable. Moreover, with no more extra training and without additional feature ex...
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneratio... more Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on intensity level thresholding of high reflective pixels around retinal nerve fiber layer (RNFL). A dataset of 50 different B-scan is taken with having 25 AMD and 25 heathy images. Bottom layer of the retina known as RPE layer is extracted and analyzed by fitting a second order polynomial curve. The difference between both the curvess decide the class of the image. Results show an accurate detection of drusen with 96 % accuracy.
2021 IEEE 7th International Conference on Network Softwarization (NetSoft), 2021
Intent-Based Networking (IBN) is a model that enables proactive network control and automation to... more Intent-Based Networking (IBN) is a model that enables proactive network control and automation to satisfy high-level demands. It follows a closed-loop mechanism that abstracts the network complexity and dynamically allows updates to the network monitoring and intelligence. Hence, it eliminates the traditionally practiced error-prone manual network control. In contrast with the traditional reactive approach, IBN-based approach promotes the proactive and dynamic solution. To this end, IBN uses machine learning (ML) to predict the future and keeps a balance between the intended and actual state. Hence, this work considers an IBN-driven routing mechanism to ensure service provisioning with the desired quality of service (QoS). In contrast to the traditional static routing scheme, this work considers AI-driven dynamic and proactively updatable routing schemes to ensure QoS. This work demonstrates AI-driven service route control mechanism for ensuring quality of service (QoS) on top of Ko...
On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV... more On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be avoided by using the Intent-Based Networking (IBN) approach. The IBN approach eliminates the requirement of expertise for designing VNFs and NS by taking users’ intentions as an input. In this paper, the proposed system presents the Intent Management System for VNF modeling and end-to-end NS orchestration for multi-platforms. This system takes the high-level information related to a specific s...
The fifth-generation mobile network presents a wide range of services which have different requir... more The fifth-generation mobile network presents a wide range of services which have different requirements in terms of performance, bandwidth, reliability, and latency. The legacy networks are not capable to handle these diverse services with the same physical infrastructure. In this way, network virtualization presents a reliable solution named network slicing that supports service heterogeneity and provides differentiated resources to each service. Network slicing enables network operators to create multiple logical networks over a common physical infrastructure. In this research article, we have designed and implemented an intent-based network slicing system that can slice and manage the core network and radio access network (RAN) resources efficiently. It is an automated system, where users just need to provide higher-level network configurations in the form of intents/contracts for a network slice, and in return, our system deploys and configures the requested resources accordingl...
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Papers by Adeel Rafiq