In this research we will study an algebraic structure d-algebras. Then we establish an algorithm to check any sets in d-algebras if they are ideals or T-fuzzy d-ideals. Moreover we investigate some related properties in d-algebras.

This research suggests an add-on working compatibly with Google Forms to construct multiple-choice questions (MCQs). This add-on comprises two main components including software for constructing MCQs and a data storage for collecting data used to compose MCQs. I demonstrated effectiveness of the add-on by applying it in the context of repetition online learning in which students could learn relearn and take an exam of which MCQs generated by the add-on. At the last step of this research I suggest using a sentiment analysis method – based on natural language processing and machine learning to find environmental factors and teaching strategies suitable for the repetition online learning.

Accurate efficient and robust travel time prediction is crucial to the development of advanced traveler information systems for providing route guidance information. To achieve this goal this paper proposed a travel time prediction through the matching of the current speed interval pattern to that in a historical database. Speed intervals instead of speeds are considered in this study to simplify the structure of matching patterns for improving matching efficiency. In this study speed interval patterns are defined by sets of link speed intervals that are either spatially or temporarily correlated with the link considered. With the speed interval patterns the algorithm is developed for searching the historical pattern(s) that is/are the closest match with the current one. Then link speeds from these matched patterns are combined for travel time prediction. By using the GPS probe taxi data which the collected speeds are aggregated in every 5 minutes the proposed travel time prediction system is implemented in Bangkok. With the speed data from probe taxi this paper has chosen four links/paths with different geometric and flow characteristics for testing the performance of the proposed travel time prediction system. From these tests it is found that the optimal speed interval pattern should include: 1) speeds of the studied link within three preceding time intervals and; 2) speeds of links in the first connection level of the studied link. Also while the computational time is capable of real-time application the proposed prediction algorithm is more accurate under uninterrupted flow conditions.

The purpose of the project is to study about the structure and details of Algorithm architecture of Michael Handsmayer by using details texture and appearance of dominant features to created details on clothes such as layering and folding to express a new design of amount 5 clothes. The method used in the study is descriptive analysis tool which analyzed about line symmetry prominent point and details that appearing on this architecture in each column and brought the result of analyzed to applied and designed clothes. According to the result of analyzed Algorithm architecture is made from more than a million layers provided the complex dimension and beautiful structure which depending on the result of calculated by computer. By that studied student was brought forms and lines of each column to specificated the silhouette of casual and special event clothes emphasizing special features of architecture to form the detail and used cutting techniques to make the multiple dimensions on clothes. Wearable and beautiful clothes with great details that interesting make them more outstanding from others.