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Eye tracking technology is an important technology in the field of artificial intelligence(AI). Eye tracking will promote the development of human-computer interaction(HCI). Spot Center Corneal Reflex (PCCR) is an eye tracking technique that relies on pupils and reflected light spots. Therefore, it is significant to accurately locate the pupil position and reflected spot position. The traditional...
Surface-enhanced Raman scatters (SERS) spectroscopy is a novel detection technology which has advantages of fingerprint, high sensitivity, simple pretreatment and strong anti-interference for water and has been widely used for the analysis of organophosphorus pesticide residues. Furthermore, the intelligent species identification and quantitative analysis of organophosphorus pesticides can be achieved...
The fault reasoning and diagnosis are carried out by means of analysis on the contents of CO, HC, CO2 and O2 in the exhaust gas discharged from gasoline engine. The support vector machine is applied to fault diagnosis of the exhaust gas discharged from gasoline engine. Taken the fault data recorded the exhaust gas discharged from gasoline engine as the sample sets, part of the fault data of the exhaust...
A fuzzy classifier with adaptive learning of the volume of norm inducing matrix is proposed in this paper. The proposed fuzzy classifier improves the Gustafson-Kessel algorithm (GKA) which assumes a fixed volume of the norm inducing matrix. An efficient approach based on gradient descent learning, called adaptive ellipsoid classification algorithm (AECA) is proposed to recursively update the volume...
With the growing number of digital multimedia libraries, the need to efficiently index multimedia information is increasing, detecting and extracting the text information from images plays an important part in images indexing based on content. In the paper, a new text extraction algorithm under background image based on two-dimensional wavelet transforms is proposed. For the algorithm, firstly the...
Ant colony optimization (ACO) is a metaheuristic approach for solving hard optimization problem. It has been applied to solve various image processing problems such as image segmentation, classification, image analysis and edge detection. In this paper, we present an Improved Canny edges (ICE-ACO) algorithm which uses ACO to solve the problem of linking disjointed edges produced by Canny edge detector.
Aiming at the structure characteristics of middling and lower voltage distribution network, this article advances a new algorithm for its short circuit calculation. Algorithm translates complex grid with several loops to some dendriform subnets with substitution theorem, and acquires voltage matrix equation by Theveninpsilas equivalent on power paths, calculates the current of broken node sequentially...
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