The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper develops a learning model for personalized adaptive cruise control that can learn from human demonstration online and mimic a human driver's driving strategies in the dynamic traffic environment. Under the framework of the proposed model, reinforcement learning is used to capture the human-desired driving strategy, and the proportion-integration-differentiation controller is adopted to...
Load modelling is a crucial part in modelling a power system. The complex, nonlinear and stochastic characteristics of power load increase the difficulty of modelling. In this paper, a new approach of ambient signal based load model parameter identification method is proposed to solve this problem. With the proposed method, load model parameter can be identified in any time regardless of the existence...
Communication network brings new challenges such as time delay and data loss to wide-area damping control of power systems. The uncertainty caused by stochastic time delay of network communication increases the difficulty of wide-area control performance analysis. This paper proposes a mathematical expectation modeling approach to model and analyze wide-area controlled power systems considering the...
Using time-synchronized phasor measurements, the closed-loop identification of power system based on ambient signals is discussed, which could reflect the current operating characteristic of power system accurately and timely, and could solve the adaptability difficulties in the regulator design. In this paper, ambient signals based closed-loop identification of power system with multiple small amplitude...
With economic development and social progress, supermarket has become the main channel of everyday consumption of people. How to keep existing customers in the fierce competition is the key problem of the competition between supermarket enterprises. The weighted factor and weighted entropy of information were introduced on the basis of traditional C4.5 decision making tree arithmetic. The customer...
We demonstrate a novel in-line chromatic dispersion monitoring scheme for 100 Gbit/s RZ-DQPSK signal based on delay tap sampling and asymmetry ratio evaluation. This scheme can differentiate positive and negative residual chromatic dispersion.
The estimation of oscillation modes is important to the monitoring and damping of low frequency oscillation in power system. Ambient data caused by low level stochastic disturbances can be used to identify the low frequency oscillation properties. In this paper, the autoregressive moving averaging(ARMA) method is used to analyze the ambient data. As a key step in the ARMA method, the selection of...
Ensuring public security is an important issue for every government, and effective public security depends on the efficiency of criminal justice processes and procedures. The procedures of the criminal justice may be viewed as the upper-, middle-, and down-stream sections of a supply chain. Like their business counterparts, most law enforcement agencies have to deal with logistics, information flow,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.