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This paper presents a new method of smart waste city management which makes the environment of the city clean with a low cost. In this approach, the sensor model detects, measures, and transmits waste volume data over the Internet. The collected data including trash bin's geolocation and the serial number is processed by using regression, classification and graph theory. Thenceforth a new method is...
Cell-based clustering method using cell data structure, so all operations are clustering on the cell. Based on the processing of the observation data clustering, algorithms about data fusion and objective tracking are discussed. Matrixes of filter formula, such as the observation transfer-matrix, observation noise covariance matrix, the initial value of estimation covariance matrix, and observation...
The characterization of a data cluster representing a certain process behavior is achieved by developing steady-state nonlinear modeling of one or more critical signals as a function of other process variables in the system. This prediction model is used to detect either sensor maloperation or process anomaly by comparing the prediction and measurement of the same variable. A large database from a...
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