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Energy-efficiency and location accuracy are two important performance metrics for indoor localization systems. However, typical indoor localization schemes based on WLAN cut gravely down smart device lifetime due to large energy consumption of scanning around wireless access points. In this paper, for the purpose of decreasing the amount of energy consumption while guaranteeing localization accuracy,...
In wireless sensor networks, hierarchical clustering schemes have been widely used to enhance the quality of service. However, in mobile wireless sensor networks, node mobility dynamically influences the topology of the clustered network, thus affects the optimal cluster performance such as compactness and separation of clusters. To eliminate the influence of node mobility, a novel adaptive distributed...
Fingerprint matching is adopted by a large family of indoor localization schemes, where collecting fingerprints is inevitable but all consuming. Recent studies show that the crowdsourcing scheme could be utilized to perform fingerprints collecting with desirable performance price ratio; however, since the fingerprints are collected from various mobile devices with crowdsourcing, it is difficult to...
Motion blur is usually generated when people captured a picture in the daily life. This kind of blur is often non-liner motion and may cause the blurred contents seriously in this image. Hence, how to remove the blurred image into a clear image becomes a very important scheme. In this paper, the primary aim is to propose an efficient blurred image restoration method based on fast blur-kernel estimation,...
In this paper, we propose a simple and efficient motion deblurring method based on fast kernel retrieval method, which can quickly find the best kernel from a set of kernels. Owing to camera shake during exposure, it may generate a motion blurred image; this kind of blur is often nonlinear motion and caused the deterioration. For this reason, reconstructing a blurred image into a sharp image is the...
In this paper, we propose a kernel estimation algorithm using fast best kernel retrieval (FBKR) from spectral irregularities to achieve the deblurring. In daily life, when people take a photograph by any kinds of camera equipment, image motion blur caused by camera motion often happens. Camera motion during exposure will produce a blurred image, this kind of blur is often non-liner mode. Motion blur...
In the past, we proposed a time series segmentation approach by combining the clustering technique, the Discrete Wavelet Transformation (DWT) and the genetic algorithm to automatically find segments and patterns from a time series. In this paper, we propose a PIP-based evolutionary approach, which uses Perceptually Important Points (PIP) instead of DWT, to effectively adjust the length of subsequences...
This paper proposed a new method of news summarization based on semantic similarity measure. It used Latent semantic indexing (LSI) to measure sentence similarity, then it used Singular Value Decomposition (SVD) to reduce the dimension of the word-sentence matrix, it used new clustering algorithm to cluster all the sentences. It ordered all the sentences according to their relevant positions in the...
For the explosion of information in the World Wide Web, this paper proposed a new method of summarization for Internet news based on clustering algorithm. It used Google search engine to extract relevant documents, and mixed query sentence into sentences set which segmented from relevant document set, then this paper adopted effective cluster algorithm to cluster all the sentences. In the period of...
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