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The eye tracker was used to collect pilots' eye movement data when operating landing procedures under different conditions in a simulator. Differences between expert pilots and flight cadets on the vision were analyzed and compared. Results show that before the aircraft passing the threshold, expert pilots scanned the cockpit inside and outside more frequently and faster to form situation recognition...
Recommender systems (RS) are used by many social networking applications and online e-commercial services. Collaborative filtering (CF) is one of the most popular approaches used for RS. However traditional CF approach suffers from sparsity and cold start problems. In this paper, we propose a hybrid recommendation model to address the cold start problem, which explores the item content features learned...
A method of building height extraction from multi-polarization SAR imagery, taking radarsat-2 as an example, was proposed based on backscatter model. First, the connected component of double-scatter of the buildings in the image was analyzed and its contribution to radar cross section was got simultaneously—a case study in urban areas of Beijing, China. Then, optimal polarized combination was utilized,...
Prediction of stock market has attracted attention from industry to academia [1, 2]. Various machine learning algorithms such as neural networks, genetic algorithms, support vector machine, and others are used to predict stock prices.
As one of the most popular deep learning models, convolution neural network (CNN) has achieved huge success in image information extraction. Traditionally CNN is trained by supervised learning method with labeled data and used as a classifier by adding a classification layer in the end. Its capability of extracting image features is largely limited due to the difficulty of setting up a large training...
Voluntarily modulating neural activity plays a key role in brain-computer interface (BCI). In general, the self-regulated neural activation patterns are used in the current BCI systems involving the repetitive trainings with feedback for an attempt to achieve a high-quality control performance. With the limitation posed by the training procedure in most BCI studies, the present work aims to investigate...
Interest in traffic classification has dramatically grown in the past few years in both industry and academia. As more and more applications are encrypting the payloads and not to use well-known ports, traditional traffic classification methods such as transport-layer protocol ports based ones can not accurately and efficiently deal with these applications. In this paper we investigate the problem...
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