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Land use land cover (LULC) maps are essential for numerous applications, such as urban growth analysis, deforestation, etc. The accuracy of these LULC maps is often assessed using global indicators, and its spatial variations are neglected. To address this issue, this letter proposes to examine local LULC classification accuracy through incorporating a polygon system derived from image segmentation...
The preliminary work on a new methodology to design low noise amplifiers (LNAs) for use in radiofrequency (RF) wireless systems is presented. The methodology aims to find the relevant design parameters faster than current analytical models and optimization procedures. To reach this goal, an artificial neural network (ANN) is used to learn the design task by being exposed to successful design examples...
In this paper, we proposed multiband received signal strength fingerprint (MRSS) based location system employing the frequency diversity of received signal strength (RSS). The enhancements of estimated accuracy contribute to the frequency diversity. This paper shows the experimental results under the area of 103 m2, we achieved the accuracy improvement over 40 percent, comparing with the singleband...
Recently, Viola proposed a rectangular features (RFs) based classifier with high accuracy and rapid processing speed for object detection tasks. In this paper, we propose non-neighboring RFs (NNRFs) as an extension of RFs, and a particle swarm optimization (PSO) based feature selection algorithm for NNRFs. NNRFs are the pairs of arbitrary rectangular sub-regions in images, giving us huge number of...
The principle of nodes' localization in wireless sensor networks is analyzed. The nodes' distance measure and localization process are described. CC2420 RF module and LPC2138 MCU are used to be the hardware platform of nodes on the location experiment. The results of two RSSI-based localization algorithms (Trilateration and Maximum Likelihood Estimation) in Wireless Sensor Networks are presented....
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