Prediction of Visibility for Color Scheme on the Web Browser with Neural Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
In this study, we propose neural networks for predicting the visibility of color schemes. In recent years, most of us have accessed websites owing to the spread of the Internet. It is necessary to design web pages that allow users to access information easily. The color scheme is one of the most important elements of website design and therefore, we focus on the visibility of the background and character colors in this study. The prediction methods of visibility of color scheme have been proposed. In one of the prediction methods, neural networks are used to forecast pairwise comparison tables that indicate the visibility of background and character colors. Our model employs neural networks for color recognition and visibility prediction. The neural networks used for color recognition include functions that forecast the color class name from a color and extract the features of the color. The neural networks used for visibility prediction include functions that employ the features of background and character colors extracted by neural networks for color recognition and forecast the visibility of a color scheme. Pairwise comparison tables are forecasted with the prediction results of neural networks for visibility prediction. We conducted pairwise comparison experiment on a web browser, as well as color recognition experiment and evaluated our model. The results of the experiments suggest that our model could improve the accuracy of pairwise comparison tables compared to existing methods. Thus, proposed model can be used to predict the visibility of color schemes.
Authors and Affiliations
Miki Yamaguchi, Yoshihisa Shinozawa
Keywords
Related Articles
- EP ID EP594226
- DOI 10.14569/IJACSA.2019.0100602
- Views 94
- Downloads 0
Performance Evaluation of Polynomial Pool-Based Key Pre-Distribution Protocol for Wireless Sensor Network Applications
In nowadays, wireless sensor network (WSN) has been established as a leading emerging technology in the field of remote area distributed sensing due to its diverse application areas. Key pre-distribution is an important...
Towards a Real Time Energy Management Strategy for Hybrid Wind-PV Power System based on Hierarchical Distribution of Loads
Energy management is a crucial aspect for achieving energy efficiency within a Hybrid Renewable energy power station. Load being unbalanced through the day, a reasonable power management can avoid energy dissipation and...
Autonomous Vehicle-to-Vehicle (V2V) Decision Making in Roundabout using Game Theory
Roundabout intersections promote a continuous flow of traffic. Roundabouts entry move traffic through an intersection more quickly, and with less congestion on approaching roads. With the introduction of smart vehicles a...
A Developed Collaborative Filtering Similarity Method to Improve the Accuracy of Recommendations under Data Sparsity
This paper presented a new similarity method to improve the accuracy of traditional Collaborative Filtering (CF) method under sparse data issue. CF provides the user with items, that what they need, based on analyses the...
Identifying and Prioritizing Evaluation Criteria for User-Centric Digital Identity Management Systems
Identity Management systems are used for securing digital identity of users in reliable, automated and compatible way. Service providers employ identity management systems which are cost effective and scalable but cause...