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.
In this paper, we propose a L1-Norm driven Semi-Supervised Local Discriminant Projection (S2LDP-L1) for robust dimensionality reduction and image representation. For feature learning, our S2LDP-L1 approach aims at compacting local within-class divergence and separating local betweenclass divergence at the same time in addition to possessing the locality preserving power over all training data. To...
Historically restoration switching strategies have been deployed to improve the system reliability by addressing effects resulting from permanent fault activity via distribution automation schemes. This paper investigates the potential role of a Distribution Automation System (DAS) in dealing with nuisance tripping where customers are often disturbed by frequently occurring short-term supply outages...
Summary form only given. The positive feedback-based anti-islanding scheme has become a common anti-islanding protection technique for inverter-based distributed generators (DGs). This paper investigates the scheme's impact on the small-signal stability of multiple inverter-based DGs installed in power distribution systems during grid-connected operation. The interactions among multiple-DGs due to...
Frequent pattern mining is an essential theme in data mining. Existing algorithms usually use a bottom-up search strategy. However, for very high dimensional data, this strategy cannot fully utilize the minimum support constraint to prune the rowset search space. In this paper, we propose a new method called top-down mining together with a novel row enumeration tree to make full use of the pruning...
Since its origins in the 1980s, third-party logistics is maturing as an option to help increase supply chain effectiveness. The trend of using third-party logistics services becomes prominent especially in the industrializing countries like China where manufacturing constitutes a major part of the GDP. This development poses a great challenge to channel managers in selecting the third-party logistics...
Finding frequent items or top-k items in data streams is a basic mining task with a wide range of applications. There are lots of algorithms proposed to enhance the performance of these algorithms, whereas not much effort has been made to make use of hierarchical information held by items in data stream. In this paper, we try to improve the accuracy of finding frequent items using hierarchical information...
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.