My Account | Careers | Downloads | Blog

PROJECT TITLE :

An Improved Sum-of-Disjoint-Products Technique for Symbolic Multi-State Flow Network Reliability

ABSTRACT:

Several real-world systems, like electrical power and transportation, satisfy the flow conservation law, and will be thought of to be multistate flow networks (MFN). Reliability could be a widespread index for evaluating MFN performance, and also the total-of-disjoint products (SDP) technique may be a standard tool for evaluating MFN reliability. An improved SDP (iSDP) is proposed during this study by adding simplification procedures to scale back the quantity of multiplications and summations to extend the potency of the SDP; the validity and effectiveness of the iSDP is also demonstrated during this study. The iSDP's computational complexity is additionally analyzed, and one benchmark example is given to illustrate how MFN reliability is decided using the proposed iSDP methodology. In addition, computational experiments with two MFN are conducted to test the performance of the iSDP methodology, together with comparisons to the present best-known SDP method.


Did you like this research project?

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

PROJECT TITLE : Fully Dynamic kk-Center Clustering With Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : IPFS and Blockchain based Reliability and availability improvement for integrated Rivers’ streamflow data ABSTRACT: The collection of data on streamflow using a variety of methods and the dissemination of
PROJECT TITLE : Fully Dynamic k-Center Clustering with Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter ABSTRACT: The detection and elimination of dangerous social bots in social media has piqued commercial and academic interest.
PROJECT TITLE : Boosting Structure Consistency for Multispectral and Multimodal Image Registration ABSTRACT: In computer vision and computational photography, multispectral imaging is essential. It is vital to align spectral band

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

Project Enquiry