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Advances in microcomputer display devices and support software during the past decade have made the microcomputer an increasingly popular vehicle for technical education. This is especially apparent in the area of simulation. The pedagog can provide the student of control theory not merely with the block diagrams and differential algebra but with high resolution color graphic animations supported by mathematical models whose parameters are easily changed by some editor facility. This mode of control system design and behavior study is both faster and more enjoyable for the student, providing greater continuity, concentration, and learning efficiency. This paper describes the simulation of a PID two-tank level control system. The System is at most fourth-order and provides a good introduction to system control theory. The model is not unusual, and its nonlinear fourth-order Runge-Kutta solution is straightforward. Simulation itself takes form as (1) a graphical animation in which the user is aware of changing water levels and pipe flows and (2) a numerical multi-column output of system inputs, state variables, and outputs. Both applications are very user-friendly. A special editor is developed, under which the above applications run. This paper is not a thorough treatment of the control system; a course is required here. Instead, the focus is on the editor and the organization of its Pascal source code. Discussed are a general editor concept and object-oriented code template to which any mathematical driver and associated simulators may be adapted. The editor’s source code is designed to be programmer-friendly so that the uninitiated programmer may rapidly assimilate editor structure and continue development.

In the information era, reading becomes more important to keep up with the growing amount of knowledge. The ability to read a document varies from person to person depending on their skills and knowledge. It also depends on the readability level of the text, whether it matches the reader’s level or not. In this thesis, we propose a system that uses state-of-the-art technology in machine learning and deep learning to classify and simplify a text taking into consideration the reader’s level of reading. The system classifies any text to its equivalent readability level. If the text readability level is higher than the reader’s level, i.e. too difficult to read, the system performs text simplification to meet the desired readability level. The classification and simplification models are trained on data annotated with readability levels from in the Newsela corpus. The trained simplification model performs at sentence level, to simplify a given text to match a specific readability level. Moreover, the trained classification model is used to classify more unlabelled sentences using Wikipedia Corpus and Mechanical Turk Corpus in order to enrich the text simplification dataset. The augmented dataset is then used to improve the quality of the simplified sentences. The system generates simplified versions of a text based on the desired readability levels. This can help people with low literacy to read and understand any documents they need. It can also be beneficial to educators who assist readers with different reading levels.

京都大学 / 新制・課程博士 / 博士(情報学) / 甲第24027号 / 情博第783号 / 新制||情||133(附属図書館) / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 河原 達也, 教授 黒橋 禎夫, 教授 西野 恒 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM