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With the explosive growth of information on the Internet, it becomes more and more important to improve the efficiency of information acquisition. Automatic text summarization provides a good means for quick acquisition of information through compression and refinement. While existing methods for automatic text summarization achieve elegant performance on short sequences, however, they are facing...
In order to solve the multipath effect and non-ideal channel characteristics for unmanned aerial vehicle data link, this paper introduces the design of adaptive cascaded equalizer and its FPGA implementation. By cascading constant modulus algorithm (CMA) equalizer, digital phase locked loop (PLL) and decision feedback equalizer (DFE), adaptive cascaded equalizer achieves convergence through two manageable...
Goal: Most state-of-the-art computer-aided endoscopic diagnosis methods require pixelwise labeled data to train various supervised machine learning models. However, it is a tedious and time-consuming work to collect sufficient precisely labeled image data. Fortunately, we can easily obtain huge endoscopic medical reports including the diagnostic text and images, which can be considered as weakly labeled...
Accurate estimation of the remaining useful life of lithium-ion batteries plays an important role in the prognostic and health management (PHM). The traditional empirical data-driven approaches for RUL prediction usually need multidimensional input physical characteristics including the current, voltage, usage duration, battery temperature, and ambient temperature. From the capacity fading analysis...
To resolve the problem that the face detection is slow and detection efficiency is low in complex background, this thesis adopts double color space for color modeling based on YCbCr color space and RGB color space, and on this basis we adopt Adaboost algorithm for face detection. Based on the research of Adaboost algorithm, this thesis proposes improvements on the Adaboost training process and detecting...
Path motion object detection based on video is a fundamental part of intelligent transportation systems, In the aspect of background extraction, this paper compared all existing theories and algorithms, aimed at specific objects (city expressways or high-speed Road), and combined with the virtual loop set method. This paper proposed an extraction and updating algorithm based on the sub-segmentations...
How to improve the accuracy of the concept similarity computation is still an issue needed to be studied further. This paper proposes a new approach which combines concept similarity with the users' individual preference. The personal coefficients trained by artificial neural network are employed to adjust the initial concept similarities to get the actual concept similarities. The experimental results...
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