TSN, or Time-Sensitive Network, is a set of standards that allows an Ethernet network to be extended to serve real-time applications while ensuring safety-critical hardware delivery. TSN uses a variety of shaping and scheduling techniques, like Credit-Based Shaping, Asynchronous Traffic Shaping (ATS), Burst-Limiting Shaper (BLS), and Time Aware Shaper (TAS), to improve real-time guarantees. In … Continue reading Improved and Comparative End to End Delay Analysis in CBS and TAS using Data Compression for Time Sensitive Network
Category: Conference Papers
Improve Service Curve Using Non-overlapped Gate in Time Sensitive Network Switch
When a Time-Sensitive Network, comes to networking, TSN is an assemblage of standards that may incorporate the Ethernet extension to enable real-time applications while maintaining the safety-critical distribution with the hardware and software. Multiple shaping processes, such as Credit-Based Shaping (CBS), Asynchronous Traffic Shaping (ATS), Burst Limiting Shaping (BLS), and scheduling procedures, such as Time … Continue reading Improve Service Curve Using Non-overlapped Gate in Time Sensitive Network Switch
Timing Analysis for Optimal Points in Credit-Based Shaper of Time Sensitive Network
TSN or Time-Sensitive Network is an aggregation of standards that can include the Ethernet extension to support the real-time application while preserving the safety-critical distribution with the hardware. To improve real-time guarantees establishes multiple shaping such as Credit-Based Shaping (CBS), Asynchronous Traffic Shaping (ATS), Burst Limiting Shaping (BLS) and scheduling processes like Time Aware Shaping … Continue reading Timing Analysis for Optimal Points in Credit-Based Shaper of Time Sensitive Network
Convolutional Neural Network Based Smart System to aid an Epileptic Patient
Epilepsy is a form of neurological disorder which results from the immediate change in neurological signal. Drug-resistant epileptic patients need to be monitored all the time. To solve this problem, in this paper, we proposed an Internet of things (IoT) based system which notifies the relatives and doctor that the patient is going through an … Continue reading Convolutional Neural Network Based Smart System to aid an Epileptic Patient
Lung nodule Detection and Classification using Deep Neural Network
Lung nodule detection is a complicated process. It is an interesting topic in the field of biomedical imaging. To detect lung nodules Computer-Aided Detection (CAD) plays an important role. Most of the CAD system consists of a nodule detector and a feature based classifier. In our method the nodule detection part, the CT images processed … Continue reading Lung nodule Detection and Classification using Deep Neural Network
High Performance 5G Microstrip Dipole Antennas for 39GHz Band
In this paper, three microstrip dipole antennas are presented for future 5G communication Band. Microstrip dipoles are designed by using Copper, Gold, and Graphene as strip material. The three antennas are analyzed and compared to choose the effective material for 5G dipole antennas. The antennas are designed on the Teflon substrate to operate in the … Continue reading High Performance 5G Microstrip Dipole Antennas for 39GHz Band
Ultra High Efficient 2×1 Graphene Patch Antenna Arrays for Single and Dual Band Operation
Graphene has opened the floodgate for a plethora of new applications in the field of communication due to its outstanding electrical and optical properties. In this paper, three types of Graphene antenna arrays, i.e. rectangular, circular and triangular are designed to operate around 3THz on a silicon (∈ r = 11.9) substrate. A single band … Continue reading Ultra High Efficient 2×1 Graphene Patch Antenna Arrays for Single and Dual Band Operation
Md. Ibrahim Ullah 