Brassinosteroid synthesis as context sensitive language acceptance problem
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 3
Abstract
A biochemical system like brassinosteroid biosynthesis is not just an assembly of enzymes. In addition to the listing of the individual components, it is essential to understand how individual components dynamically interact during the biosynthesis process. In this context the concept of computational complexity is applied to brassinosteroid biosynthesis. It is shown that brassinosteroid biosynthesis system accepts context sensitive languages and models of computation of this system are universal.
Authors and Affiliations
Monendra Grover
Fuzzy time series forecasting of wheat production
The present study provides a foundation for the development and application of fuzzy time series model for short term agricultural production forecasting. The present study can provide an advantageous basis to Farm admin...
Optimization of Transmission Conditions for Thin Interphase Layer Based on Imperialist Competitive Algorithm
The imperialist competitive algorithm (ICA) that was recently introduced has shown its good performance in optimization problems. In this paper a novel optimization algorithm based on ICA is used for obtaining transmissi...
A Study of Image Segmentation and Edge Detection Techniques
Image segmentation is the key behind image understanding. Image segmentation is one of the most important steps leading to the analysis of processed image data. It is the prime area of research in computer vision. A numb...
Facial Expressions with Some Mixed Expressions Recognition Using Neural Networks
Facial feature extraction is the essential step of facial expression recognition. The automatic facial impression evaluation applies for wide area use. The important facial feature vectors for expression analysis are ana...
Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm
In data mining research, generating frequent items from large databases is one of the important issues and the key factor for implementing association rule mining tasks. Mining infrequent items such as relationships amon...