To shorten the travel time and improve comfort, the automatic train driving system is considered to replace manual driving. In this article, an automatic control method of computer application data-processing system based on artificial intelligence is proposed. An automatic train operation (ATO) introduced the structure and function of an autopilot system (train), optimized the train running on the target curve, introduced the basic principle of fuzzy generalized predictive control (PC) algorithm, and combined with the characteristics of ATO system design the (...) speed controller based on optimization algorithm, the target curve to make use of the designed controller to track and simulation validation. The experimental outcomes demonstrate that when the train runs to 90 s, the displacement difference reaches about 40 m, which proves that the fuzzy PC has better displacement tracking, punctual arrival, and higher stopping accuracy. (shrink)

Nowadays, the modern management is promoted to resolve the issue of unreliable information transmission and to provide work efficiency. The basic aim of the modern management is to be more effective in the role of the school to train talents and serve the society. This article focuses on the application of data mining (DM) in the development of information management system (IMS) in universities and colleges. DM provides powerful approaches for a variety of educational areas. Due to the large amount (...) of student information that can be used to design valuable patterns relevant to student learning behavior, research in the field of education is continuously expanding. Educational data mining can be used by educational institutions to assess student performance, assisting the institution in recognizing the student’s accomplishments. In DM, classification is a well-known technique that has been regularly used to determine student achievement. In this study, the process of DM and the application research of association rules is introduced in the development of IMS in universities and colleges. The results show that the curriculum covers the whole field and the minimum transaction support count be 2, minconf = 70%. The results also suggested that students who choose one course also tend to choose the other course. The application of DM theory in university information will greatly upsurge the data analysis capability of administrators and improve the management level. (shrink)

The paper attempts to answer a very obstinate fundamental problem—is literary meaning determinable at all? Would it be determinable if it were constructed by the language of the text? Or is this meaning open-ended, constantly deferred or shifted as a result of the very nature of signification? In this paper, I argue that the levels of _dhvani-ṣ Avivakṣitavācya dhvani _ and_ Vivakṣitavācya dhvani_ and their sub-levels are far more comprehensive than the concept of ‘_differance_’, both based on the play of (...) meanings. Ānandvardhana seems to anticipate Derrida in postulating the infinite suggested meaning over and above the expressed literal meaning in the levels of _dhvani_, though the admission of any definite literal meaning itself goes against the deconstructive approach of ‘_differance_’. The paper also deals with the analysing a few literary works with the levels of _dhvani_ and also how meaning of a text is revealed to the _sahrdaya_ (reader). (shrink)

The world relies on authentic research that guides legislation, policy formulations, and governmental and corporate actions. Therefore, researchers globally should be aware of academic integrity and publication ethics. This research delved into plagiarism that severely undermines any scientific study. It explores the relationship between adverse attitudes (attitudes that favor plagiarism) and plagiaristic behavior. We probed deeper into the theories of planned behavior, reasoned action, and ethical theories of rational self-interest, cultural acceptance, and deontology to propose corrective measures as an intervention (...) to reduce adverse attitudes and plagiaristic behavior. Upon empirical testing of the said propositions through two studies (Study 1, n1 = 2609; Study 2, n2 = 2678), we ascertained a significant negative relationship between corrective measures and adverse attitudes and corrective measures and plagiaristic behavior. We also empirically examined the mediating effect of adverse attitudes on the relationship between corrective measures and plagiaristic behavior. The results confirm the mediation model, in which academics subjected to corrective actions reported reduced plagiaristic behavior through reduced adverse attitudes. The findings further the literature on plagiarism and provide crucial implications for managing plagiaristic behavior among academics. The study also provides specific corrective actions that educational administrators should initiate to ensure academic integrity. (shrink)