Poetry is a very popular literary form. Currently, its sentiment analysis is one of the hottest research trends. However, there are few relevant studies focusing on the sentiment analysis of ancient Chinese poetry, es...
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Poetry is a very popular literary form. Currently, its sentiment analysis is one of the hottest research trends. However, there are few relevant studies focusing on the sentiment analysis of ancient Chinese poetry, es...
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ISBN:
(数字)9781728131290
ISBN:
(纸本)9781728131306
Poetry is a very popular literary form. Currently, its sentiment analysis is one of the hottest research trends. However, there are few relevant studies focusing on the sentiment analysis of ancient Chinese poetry, especially for Tang Poetry. In this paper, we propose a deep learning-based method to solve the above problem. Specifically, we combine Convolutional Neural Network and Gate Recurrent Unit to better extract the characteristics of Tang poetry. In addition, considering the special structural characteristics of Tang poetry, a multi-channel processing model is used to reshape the feature vector of sentences. Finally, in order to verify the rationality and superiority of the proposed methods, we construct a dataset by labeling more than 2500 representative Tang poems. The experimental results prove that our scheme has a higher accuracy rate, up to 64%, compared against three other competing methods.
This paper proposes a robust control scheme that prevents an autonomous 4WS4WD vehicle from lane departure and wheel skidding in presence of road curvature and aerodynamic drag. The control objectives can be specified...
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ISBN:
(纸本)9781457710957
This paper proposes a robust control scheme that prevents an autonomous 4WS4WD vehicle from lane departure and wheel skidding in presence of road curvature and aerodynamic drag. The control objectives can be specified as various closed-loop specifications, such as lane keeping, wheel slip constraint and disturbance attenuation. An LMI approach is used to deal with these objectives simultaneously, which combines the quadratic stabilization technique with constraints on inputs. Simulation results show that the proposed controller effectively limits the combined wheel slip and improves the lane keeping performance.
Wireless Audio Sensor Networks (WASNs) can provide event detection, object tracking and emergency response through cooperative audio sensor nodes. Effective collaboration of audio sensors requires precise synchronizat...
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Wireless Audio Sensor Networks (WASNs) can provide event detection, object tracking and emergency response through cooperative audio sensor nodes. Effective collaboration of audio sensors requires precise synchronization among audio streams. Some researches have been done on the timestamp mechanism based on time synchronization ignoring propagation delay and many other researches have focused on the synchronization of simple gunshot or scream. However, for the synchronization of intermittent and fluctuating audio stream, there still exists many challenges. In this paper, we propose an effective audio synchronization scheme which can synchronize the intermittent audio streams adaptively while maintain low energy cost. On one hand, we obtain audio synchronization without global clock which save energy tremendously. On the other hand, by introducing a feedback loop mechanism, we can keep a high audio synchronization fidelity even when the audio source moves around and the sound strength varies with time. Furthermore, we discuss the extension for flexibility and scalability of this scheme when there exist several sound sources simultaneously or the audio source moves among clusters. Through experiments on a WASNs platform and simulations, we show that the proposed scheme is desirable to guarantee the accuracy of audio synchronization in practical environment with low energy cost.
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