Recently years, the nearest neighbor (N-N) query in the spatial database contracts much public attentions and is studied widely. Because of the kinds of the query objects, there are generally three types, point to point (p-p), point to segment (p-s) and segment to segment (s-s). Most of them are precise data, and related documents are rich. However, the research about querying fuzzy objects wit...

The emergence of wireless sensor network as has raised the need for cheap wireless indoor localization technique This paper considers the problem of fingerprinting indoor localization based on signal strength measurements RSS. A new approach based on Fuzzy logic has been put forward. The proposal makes use of k-nearest neighbor classification in signal space. The localization of target node is ...

The normal distribution is a usual one of various distributions in the real world. A normal neutrosophic set (NNS) is composed of both a normal fuzzy number and a neutrosophic number, which a significant tool for describing the incompleteness, indeterminacy, and inconsistency of the decision-making information. In this paper, we propose two correlation coefficients between NNSs based on the sco...

The most facial emotion recognition methods use the geometrical features of face such as eye opening and mouth opening, which extraction of them is a hard and complicated task. But, in this paper, we propose to use the discriminant features simply extracted by nonparametric weighted feature extraction (NWFE). Moreover, to model the inherent uncertainties contained in the emotional features, we ...

Abstract — Signature is the result of process writing a person particular nature as symbolic substance, which means symbol or mark. usually used an identifying mark person, each must have his own signature in different pattern. Because it's person's badge, Signatures now become particularly susceptible to counterfeiting and abuse that require check with pattern recognition. This research has cr...

This paper considers the fuzzy inference as position estimator for WLAN indoor environments, based on received signal strength measurements RSS. The proposal algorithm includes a fuzzy inference which uses the k-nearest neighbor classification in signal space, where the position of target node is calculated as a weighted combination of nearest fingerprints, where the weights are estimated using...