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  1. 221

    Modelle der Akkordgrundtonbestimmung by Karl Traugott Goldbach

    Published 2009-08-01
    “…Um entsprechende Musik unter Einschluss traditioneller Verfahren erklären zu können, entwickelten Komponisten wie Paul Hindemith in ihren Tonsatzlehren unter anderem auch neue Methoden der Grundtonbestimmung. In jüngerer Zeit leitete der Psychoakustiker Ernst Terhardt aus seinen Forschungen zu ›virtuellen Grundtönen‹ ein Modell zur Bestimmung von Akkordgrundtönen ab, das Richard Parncutt, Llorenç Balsach und Ludger Hofmann-Engl jeweils weiterentwickelten. …”
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    Effect of Baduanjin Exercise on Skin Temperature of the Governor Vessel by Zheyan SA, Xiaohua PAN, Cailian LAN, Xinghui YAN, Jinsen XU

    Published 2017-06-01
    “…Objective:To analysis the effect of Baduanjin exercise on skin temperature changes of the Governor Vessel (GV).Methods:A total of twenty-nine healthy volunteers were randomly assigned into exercise group (<italic>n</italic>=15) and control group (<italic>n</italic>=14). …”
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    Comprehensive Rehabilitation Therapy for A Child with Reducing Body Myopathy by Xinhong WU, Fan WU, Yun ZHANG, Taibiao LI, Tiebin YAN

    Published 2016-12-01
    “…Objective:To investigate the characteristics and rehabilitation therapy of a case with reducing body myopathy (RBM).Methods:A case of a child with limb weakness due to RBM was admitted, and the clinical features, laboratory tests results, imaging findings, muscle pathology and genetic testing results of the child were analyzed. …”
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    Deep learning Chinese input method with incremental vocabulary selection by Huajian REN, Xiulan HAO, Wenjing XU

    Published 2022-12-01
    “…The core task of an input method is to convert the keystroke sequences typed by users into Chinese character sequences.Input methods applying deep learning methods have advantages in learning long-range dependencies and solving data sparsity problems.However, the existing methods still have two shortcomings: the separation structure of pinyin slicing in conversion leads to error propagation, and the model is complicated to meet the demand for real-time performance of the input method.A deep-learning input method model incorporating incremental word selection methods was proposed to address these shortcomings.Various softmax optimization methods were compared.Experiments on People’s Daily data and Chinese Wikipedia data show that the model improves the conversion accuracy by 15% compared with the current state-of-the-art model, and the incremental vocabulary selection method makes the model 130 times faster without losing conversion accuracy.…”
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    Fusion of auto encoders and multi-modal data based video recommendation method by Qiuyang GU, Chunhua JU, Gongxing WU

    Published 2021-02-01
    “…Nowadays, the commonly used linear structure video recommendation methods have the problems of non-personalized recommendation results and low accuracy, so it is extremely urgent to develop high-precision personalized video recommendation method.A video recommendation method based on the fusion of autoencoders and multi-modal data was presented.This method fused two data including text and vision for video recommendation.To be specific, the method proposed firstly used bag of words and TF-IDF methods to describe text data, and then fused the obtained features with deep convolutional descriptors extracted from visual data, so that each video document could get a multi-modal descriptors, and constructed low-dimensional sparse representation by autoencoders.Experiments were performed on the proposed model by using three real data sets.The result shows that compared with the single-modal recommendation method, the recommendation results of the proposed method are significantly improved, and the performance is better than the reference method.…”
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