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Condition monitoring of machinery has entered the big data era, while the existence of dirty data reduces the quality of the whole data. In order to recognize the dirty data included in machinery monitoring data, a new method is proposed in this paper. First, a feature named sampled power index (SPI) is designed to transform the dirty data recognition issue into the outlier recognition. Then the windowing...
To facilitate more quickly and effectively detect the types of pesticide residues on the surface of lettuce, a method involving the chemical molecular structure coupled with wavelet transform (CMS‐WT) was proposed to extract the characteristic wavelength. Five different kinds of pesticide residues were sprayed on the surface of lettuce, respectively, dimethoate, acephate, phoxim, dichlorvos, avermectin...
Click-baits are headlines that exaggerate the facts or hide the partial facts to attract user clicks. Click-baits deter readers from effectively and efficiently obtaining information in the era of information explosion, and will obviously affect user experience in news aggregator sites like Google News and Yahoo News. Detecting and preventing click-baits become crucial. Previous work achieved remarkable...
FaceDCAPTCHA and FR-CAPTCHA, proposed in 2014, are both face-based CAPTCHAs relying on human face recognition. The security of FaceDCAPTCHA is based on the difficulty of classifying real human faces and fake faces while the FR-CAPTCHA finds two faces belonging to the same person in a complex background. In this paper, edge detection is employed to obtain the small faces in FaceDCAPTCHA and then an...
Eye detection is required in many applications in human-computer interaction, which plays an important role in screen control, user recognition and auto-stereoscopic displays. Considering the defects of traditional methods of human-eye detection, an accurate human-eye-detection algorithm has been proposed. This paper proposes a novel technique combining the Adaboost algorithm and a hybrid matching...
The performance of underwater acoustic target classification decreases and is unstable when the training set contains noisy, redundant or irrelevant samples. In this paper, a new adaptive immune clonal sample selection algorithm (AICISA) is proposed to address this problem. AICISA is aimed at directing generation evolution. An experiment about the application of AICISA using the multi-field features...
This paper presents a wireless compressive pyroelectric sensor system for walker recognition. The research aims to make wireless distributed pyroelectric sensors a low-cost, low-data-throughput alternative to the expensive infrared video sensors in behavioral biometric applications. The compressive measurements are achieved by using both (1) non-uniform sensor sampling structures and (2) random projection...
A smart and cost-effective intelligent RMB (Ren Min Bi) sorting system is built by theoretical approaches and technical facilities integrated of electrics, magnetics, optics, maths, mechanics. It can be used to identify authenticity, denomination, orientation, version of RMB, whether RMB is new or old, and count the number of sheets and the amount. Real money and false money can be distinguished by...
In this paper we show how grid computing can be used to improve the operation of a medical image search system. The paper introduces the basic principles of a content-based image retrieval (CBIR) system and identifies the computationally challenging tasks in the system. For the computationally challenging tasks an efficient design is proposed that uses distributed grid computing to carry out the image...
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