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This paper applies both Empirical Mode Decomposition (EmD) and Ensemble Empirical Mode Decomposition (EEMD) to extract the EMD and EEMD components from a data set of passenger flows of a station in the metro system, and illustrates the time variants of short-term passenger flow for this data sets. The results indicate that the extracted meaningful EEMD components reveal a more unique pattern than...
Shapelet is a fragment of a time series that can be used to represent class characteristics of the time series. Its application in time series classification is extensively discussed and many improvements have been made. One of them is to separate the construction of classifier from shapelet selection process which is called shapelet transformation. It is more flexible and provides us with more freedom...
In view of limitations of students' evaluation on course and lack of evaluation methods on student's comprehensive quality, we put forward the concept of the course suitability and design a set of courses appropriate evaluation index and analysis methods. This concept means that the degree of teaching and learning requirements of universities, which is similar to the Customer Satisfaction in management...
The shift the prediction object from the final product to the common component makes better use of the aggregation effect. In this study, the mutually independent demands for all the products with linear increasing trend is generated by the method of Monte Carlo Stochastic Simulation. Using the prediction method of ordinary least square, the comparison is made with two prediction results. One of which...
Staffs' perceived work pressure has complex influence on their performance. Empirical study indicates that work pressure can increase staffs' emotional labor and job burnout significantly, lead to emotional burnout and then affect study orientation negatively. So managers in service industry should pay attention to pressure management, adopt humanity methods to reduce staffs' emotional labor and job...
Research on service enterprises find that supervisory play an important role in staffs' behaviors. Among them, the role of employee champion, strategic partner and change agent all can lead to staff show positive behaviors, but the role of administrative expert can not affect staff positively. LMX not only can affect staffs' behavior directly, but also modulate the role of supervisory. So service...
Service innovation is fundamental competitiveness to service enterprise. Researches on domestic service enterprise shows that organization support and emotional labor, Psychological empowerment, learning commitment, internal social capital are the key variables to significantly affect employee's service orientation and further service innovation. So managers should strengthen organization support,...
Staffs' perceived work pressure has complex influence on their performance. Empirical study indicates that work pressure can increase staffs' emotional labor and job burnout significantly, lead to emotional burnout and then affect performance negatively. So managers in service industry should pay attention to pressure management, adopt humanity methods to reduce staffs' emotional labor and job burnout...
This paper employs voice analysis techniques to detect hoarseness occurring as a result of administration of local anesthetic for shoulder surgery. The patients in our study developed transient vocal cord dysfunction; however surgery and anesthesia can also cause permanent vocal cord paralysis, which is a significant clinical problem. Early detection is important to optimize the chance of repair,...
In this paper, an improved grey self-organizing map (GSOM) model is proposed and applied in the detection of deny of service (DOS) attack. For detection of the DOS attacks, this improved model can consider the relativity of the data set of DOS attacks. Finally, the experiments on the DOS data set confirm their validities and feasibilities over this improved GSOM model.
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