My Account | Careers | Downloads | Blog

PROJECT TITLE :

Improving Spatial Resolution of Raman DTS Using Total Variation Deconvolution

ABSTRACT:

Ancient Raman distributed optical sensor (DTS) exhibits an occasional-pass characteristic that causes sharp temperature changes to be over smoothed. This behavior will be modeled as the convolution of the real temperature profile with the DTS impulse response. This paper presents a deconvolution algorithm developed to enhance the spatial resolution of a Raman DTS system. The algorithm is based on a linear DTS model and total variation regularization. The main advantage is the flexibility to properly reconstruct hot regions with dimensions down to fifteen cm, which represents a resolution gain of up to six times when compared with the DTS spatial resolution of one m. We present simulations and experimental results demonstrating the efficacy of the proposed methodology.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

Deconvolution Distributed Sensors Fibre Optic Sensors Raman Spectra Temperature Sensors Deconvolution Algorithm
PROJECT TITLE : Improving I/O Complexity of Triangle Enumeration ABSTRACT: Many graph algorithms are now required to operate in external memory and deliver performance that does not significantly degrade with the scale of the
PROJECT TITLE : Improving Speech Emotion Recognition With Adversarial Data Augmentation Network ABSTRACT: When there aren't many training data to work with, it can be difficult to train a deep neural network without triggering
PROJECT TITLE : A Time-Series Feature-Based Recursive Classification Model to Optimize Treatment Strategies for Improving Outcomes and Resource Allocations of COVID-19 Patients ABSTRACT: This paper presents a novel Lasso Logistic
PROJECT TITLE : Recommender Systems and Scratch An integrated approach for enhancing computer programming learning ABSTRACT: Learning computer programming is a difficult task. Visual programming languages (VPLs), such as Scratch,
PROJECT TITLE : Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification ABSTRACT: The problem of unbalanced data is common in network intrusion detection, spam filtering,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry