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Through the study on the vessel scheduling problem of the port, it is found that the navigational environment is complicated near the channel area. In order to provide better services, the traffic flow information should be clearly managed. This paper builds a vessel traffic flow forecasting model based on Back Propagation (BP) neural network, and validates the model with some Automatic Identification...
In this paper, we propose a deep convolutional neural network model for in-bed behavior recognition and bed-exit prediction. This model extracts features for training from depth images taken by depth cameras in two categories: in-bed images taken several time intervals before a patient gets out of bed, and usual in-bed activity images. The depth camera-based model features grayscale and low-resolution...
Cooperative communication is a bright technology to acquire diversity gain in wireless terminals by sharing their antennas. With the fixed amplify-and-forward (AF) mode, relay node always helps to relay the data of the source node with unchanged transmission power. Judging from the power efficiency, it is obviously not optimal, particularly when channel states are quite good. An adaptive AF mode is...
In software maintenance, severity prediction on defect reports is an emerging issue obtaining research attention due to the considerable triaging cost. In the past research work, several text mining approaches have been proposed to predict the severity using advanced learning models. Although these approaches demonstrate the effectiveness of predicting the severity, they do not discuss the problem...
Receiving bug reports, developers usually need to spend significant amount of time resolving where to fix the faults. Although previous studies have shown that the revision frequency of a file location is an important measure to reflect the possibility of containing bugs, the frequency-based approaches achieve limited prediction accuracy for file locations having low revision frequencies. Our empirical...
Mine work face gas emission is the important basis for mine design, and has important practical significance for ventilation and safety production. Between mine gas emission and work face there are complex nonlinear relationships. The paper constructed a work face gas emission prediction model based on wavelet neural network. It based on statistics of a mine work face gas emission data, applied the...
An accurate and simple link quality model is of utmost importance in link adaptation (LA) design. Our previous work in has verified the good accuracy of the mutual information (MI) model for rate compatible (RC) LDPC coded OFDM system. In this paper, the MI model is used to predict the retransmission length T of two hybrid ARQ schemes, partial chase combining (PCC) and incremental redundancy (IR)...
In software testing and maintenance activities, the observed faults and bugs are reported in bug report managing systems (BRMS) for further analysis and repair. According to the information provided by bug reports, developers need to find out the location of these faults and fix them. However, bug locating usually involves intensively browsing back and forth through bug reports and software code and...
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