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With the implementation of national strategies such as "One Belt and One Road" and "double first class", it has put forward unprecedented requirements for the cultivation of talents and international communication in universities. Local universities should pay fiercer personnel to grab the battle, use...

The responsibility of colleges and universities is to train high-quality socialist talents in the new era. Through effective student management, it is particularly important to make students become the pillar of the country. This paper will explore the student management of colleges and universities...

Much attention is focused on the study of flipped classroom. This research is conducted among top students with the purpose of confirming the effect of flipped classroom. It found that flipped classroom does not merely implies learning by oneself, even if objects are top students, teachers are expected...

AdaBoost is an ensemble method to construct a strong classifier with linear combination of base classifiers, which has been applied to relevance vector machine (RVM) for performance improvement. However, the combination of the RVM and AdaBoost can be overfitting in dealing with the noisy data sets because...

Indoor positioning is becoming a very popular research direction in recent years. In this paper, we realize real-time trajectory calculation through the fusion of inertial and vision. We have two experiments in different environments and we find that the algorithm's error is below 50% of pure inertial...

The significant jump in world crude oil price over the past year has raised great concern over the economic impact that such a price shock may bring about on Taiwan’s economy, which has been characterized by extremely high import-oil dependence. Previous analyses have been tackling similar issue from...

In 1980s, many empirical researches’ findings (i.e., Shiller(1984), Thaler (1985) et al. ) did not support efficient market hypothesis (EMH). Previous studies (e.g., Bernartzi and Thaler, 1995) related to behavioral model suggest that certain market anomalies are consistent with the presence of irrational...

Security Exchange Commission in Taiwan requires all public companies to file and announce their monthly sales figure by the of the following month. This requirement has established another channel for market investors to obtain additional accounting information on a more timely basis than quarterly or...

This paper provides the most complete evidence to date on the importance of monetary aggregates as a policy tool in an inflation forecasting experiment. Every possible definition of ‘money’ in the USA is being considered for the full data period (1960 – 2006), using the most sophisticated non-linear...

This paper outlines a data mining approach to analysis and prediction of the trend of stock prices. The approach consists of three steps, namely partitioning, analysis and prediction. A modification of the commonly used k-means clustering algorithm is used to partition stock price time series data. After...

The main objective of this study is developing a linguistic cluster model in order to meet the public security index requirement and extract crime rule in time series. In contrast to the current studies in crime theory which mostly rely on traditional behavior science, we turned to a hybrid approach...