Intelligent Recognition System Based on Contour Accentuation for Navigation Marks

Du, Yong; Sun, Shuo; Qiu, Shi; Li, Shaoxi; Pan, Mingyang; Chen, Chi‐Hua

doi:10.1155/2021/6631074

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…This involves analyzing images captured by a camera. To enhance the precision of image recognition, Du et al [13] integrated a contour enhancement algorithm into a classification model that employs a multi-scale attention mechanism for identifying navigation markers. The empirical findings demonstrate that this approach elevates the accuracy of navigation marker classification.…”

Section: Introductionmentioning

confidence: 99%

The positive impact of intelligent aids to navigation on maritime transportation

Wu,

2024

Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023)

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With the continuous advancement of technology, intelligent aids to navigation have become an integral part of modern maritime transportation. This article analyzes the application of intelligent aids to navigation in ports and waterways and explores their positive impact on maritime transportation. The study reveals that intelligent aids to navigation can provide efficient navigation and navigational assistance services, thereby improving the safety and efficiency of transportation. Furthermore, intelligent aids to navigation can achieve precise management of waterways, provide accurate navigation information, reduce the probability of accidents, and save human and material resources. Finally, this article discusses the impact of intelligent aids to navigation on economic benefits, highlighting their ability to promote the development of port economy and enhance the quality of transportation services.

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Section: Introductionmentioning

confidence: 99%

The positive impact of intelligent aids to navigation on maritime transportation

Wu,

2024

Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023)

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“…To realize intelligent ships, an increasing number of computer technologies are applied in the field of navigation. For example, Du et al [1] combined the contour stress algorithm with the navigation sign classification model to improve the classification accuracy of navigation signs. Han et al [2] proposed a faster and more accurate ship detection model, ShipYOLO.…”

Section: Introductionmentioning

confidence: 99%

“…is a speech spectrum diagram, in which(1) shows the linear frequency power spectrum and the logarithmic frequency power spectrum of speech in the VHFVoice dataset taken from the real scene, (2) shows the TSTNN (baseline) enhancement result, and (3) shows the VHFSE (our model) enhancement result. The red box contains the special local noise of this speech.…”

mentioning

confidence: 99%

VHF Speech Enhancement Based on Transformer

Xue

Pan

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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To solve the poor quality of Very high frequency (VHF) speech communication in the navigation field, a VHF speech enhancement model based on an improved transformer (VHFSE) is proposed in this paper. The long-term and short-term noise are the reasons for the poor quality of VHF voice communication. VHFSE can reduce these two aspects of noise. We select the Two-stage Transformer based Neural Network (TSTNN) as the baseline. The Transformer structure pays attention to global information and parallel computing, which can reduce the long-term noise. In order to strengthen the ability of the model to reduce short-term noise, we add CNN module to the transformer according to the ability of revolutionary neural networks (CNN) to extract local information. Meanwhile, to improve the real-time performance , this study employs the lightweight convolution module (Depthwise Separable Convolution) to efficiency of VHF speech communication. Experimental results show that the proposed model VHFSE obtains the highest PESQ and STOI values than other compared modules. Besides, we apply the self-built dataset in our proposed model. The spectrum diagram shows that our model has the best enhancement effect on navigation VHF speech.

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“…Recently, with the release of Google's deep learning engine TensorFlow and arti cial intelligence technology, it became more popular after alpha dog defeated Li Shishi, which is also expected [16]. TensorFlow brings convenience and ease of use to deep learning and training, and this game also shows that arti cial intelligence can still perform well in this scenario [17][18][19]. Business English speaking training score plays an important role in Business English teaching.…”

Section: Introductionmentioning

confidence: 99%

Research on Scoring of Business English Oral Training Based on Deep Neural Network

Duan

2022

Scientific Programming

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A scoring approach of business English oral training based on a deep neural network is put forward. Based on speech recognition technology, automatic correction technology, deep learning technology, machine learning technology, and the scoring data of business English oral training generated by the general computerized examination platform system, this paper uses the audio data of students’ oral expression questions collected by the existing general computerized examination platform, and studies artificial intelligence technology, deep learning technology, and machine learning technology to train the intelligent scoring system, it realizes the intelligent scoring of oral expression questions, which plays a positive role in language training guidance and correction. Finally, the accuracy of the intelligent scoring system is verified by the correlation between the score of the intelligent scoring system and the manual score of teachers. The higher the correlation with manual scoring, the higher the scoring accuracy of the intelligent scoring system.

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Intelligent Recognition System Based on Contour Accentuation for Navigation Marks

Cited by 8 publications

References 28 publications

The positive impact of intelligent aids to navigation on maritime transportation

The positive impact of intelligent aids to navigation on maritime transportation

VHF Speech Enhancement Based on Transformer

Research on Scoring of Business English Oral Training Based on Deep Neural Network

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