with the rapid expansion of the information on the internet, recommender systems play an important role in terms of trade and research. recommender systems try to guess the user's way of thinking, using the in-formation of user's behavior or similar users and their views, to discover and then propose a product which is the most appropriate and closest product of user's interest. ...

Nowadays, there is a large amount of data growth at all organizational scales. To find useful information, the right mining technique needs to be used. One popular techniques called equivalence class transformation (Eclat) algorithm which gaining benefits vertical format used in association rule technique. However, like horizontal representation, still suffering from huge memory consumption. Th...

Indoor localization services are emerging as an important application of the Internet Things, which drives development related technologies in indoor scenarios. In recent years, various algorithms for different scenarios have been proposed. The algorithm based on fingerprints has attracted much attention due to its good performance without extra hardware devices. However, occurrence fingerprint...

Wi-Fi indoor positioning algorithms experience large positioning error and low stability when continuously positioning terminals that are on the move. This paper proposes a novel indoor continuous positioning algorithm that is on the move, fusing sensors and Wi-Fi on smartphones. The main innovative points include an improved Wi-Fi positioning algorithm and a novel positioning fusion algorithm ...

The main objective of this paper is to model and optimize the parallel and relatively complex FuzzyP+FuzzyI+FuzzyD (FP+FI+FD) controller for simultaneous control of the voltage and frequency of a micro-grid in the islanded mode. The FP+FI+FD controller has three parallel branches, each of which has a specific task. Finally, as its name suggests, the final output of the controller is derived fro...