Peng Qian

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Background. In Traditional Chinese Medicine (TCM), most of the algorithms are used to solve problems of syndrome diagnosis that only focus on one syndrome, that is, single label learning. However, in clinical practice, patients may simultaneously have more than one syndrome, which has its own symptoms (signs). Methods. We employed a multilabel learning(More)
BACKGROUND In Traditional Chinese Medicine (TCM), tongue diagnosis has been an important diagnostic method for the last 3000 years. Tongue diagnosis is a non-invasive, simple and valuable diagnostic tool. TCM treats the tongue coating on a very sensitive scale that reflects physiological and pathological changes in the organs, especially the spleen and(More)
This paper introduces a standard acquisition environment and a recognition method for clinical facial complexional diagnosis in Traditional Chinese Medicine (TCM). Firstly, collected the information of facial complexion in an environment with different artificial light source, the color value of face was extracted and compared with diagnostic conclusion(More)
Recently, many NLP tasks have benefited from distributed word representation. However, it remains unknown whether embedding models are really immune to the typological diversity of languages, despite the language-independent architecture. Here we investigate three representative models on a large set of language samples by mapping dense embedding to sparse(More)
In Traditional Chinese Medicine (TCM), most of the algorithms used to solve problems of syndrome diagnosis are superficial structure algorithms and not considering the cognitive perspective from the brain. However, in clinical practice, there is complex and nonlinear relationship between symptoms (signs) and syndrome. So we employed deep leaning and(More)
To solve the problem of congestion which often occurs in the process of the large data transmission in large-scale wireless senator networks, a multipath routing protocol based on congestion control mechanism implemented by cross-layer design concept is proposed. Realizing the multipath routing protocol on the basis of AODV protocol, congestion control(More)
In this paper, we propose an approach for multiple target localization in wireless sensor network by employing the compressive sensing (CS) theory, which provides a novel framework for recovering the signal with far fewer sampling values than traditional methods, under the assumption that the signal is sparse. The sparsity in our localization approach is(More)
Biphotons with narrow bandwidth and long coherence time can enhance light-atom interaction, which leads to strong coupling between photonic and atomic qubits. Such strong coupling is desirable in quantum information processing, quantum storage and communication. In particular, paired photons with a long coherence time over submicroseconds facilitate the(More)