Improved and Comparative End to End Delay Analysis in CBS and TAS using Data Compression for Time Sensitive Network

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

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

High-gain and ultrawide-band graphene patch antenna with photonic crystal covering 96.48% of the terahertz band

With the recent advancement in high-frequency microwave devices and applications, graphene-based antennas are showing real potential due to the unique properties of graphene material and its ability to operate at terahertz communication band (0.1 THz–10 THz). Herein, a very high-gain and ultrawide-band graphene-based patch antenna is proposed with the application of photonic crystal and dielectric grating. The … Continue reading High-gain and ultrawide-band graphene patch antenna with photonic crystal covering 96.48% of the terahertz band

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