電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
141 巻, 1 号
選択された号の論文の14件中1~14を表示しています
特集:電子回路関連技術
特集解説論文
<電気回路・電子回路>
特集論文
<電気回路・電子回路>
特集研究開発レター
<電気回路・電子回路>
論文
<システム・計測・制御>
  • 田井 一, 篠原 寿広, 上保 徹志, 中迫 昇
    2021 年 141 巻 1 号 p. 61-67
    発行日: 2021/01/01
    公開日: 2021/01/01
    ジャーナル 認証あり

    Under ideal conditions with low noise, the acoustic distance measurement (ADM) method using the cross-spectrum for adjacent 2ch observations shows sufficient distance estimation performance. Increasing noise will deteriorate the distance estimation performance. To reduce noise, even if complex ICA is applied to adjacent 2ch noisy observations, sufficient separation performance for distance measurement cannot be exhibited, because the microphones are too close. Thus, if the ADM method using the cross-spectrum is applied to the separated signals of the adjacent 2ch noisy observations, an incorrect distance near 0 m is estimated because of the effect of measurement system. Therefore, by increasing the number of microphones (which increases information and can be expected to improve the separation performance), and applying complex ICA to improve the separation performance, ADM using the cross-spectrum for the new separation signals is proposed. This method enables us to obtain distance estimation that eliminates both environmental noise and the effect of the measurement system. The validity of the proposed method is also verified with the experiment of the actual distance measurement. As a result, it was found that the distance 1 m to the target can be measured under the noise of SNR (Signal to Noise Ratio) -10 dB.

  • 牧村 愛萌, 小山 昌人
    2021 年 141 巻 1 号 p. 68-75
    発行日: 2021/01/01
    公開日: 2021/01/01
    ジャーナル 認証あり

    Since the world faces to the realization of “the low-carbon world”, renewable energies have been attracting attention. Due to the estimated ocean-wave power capacity is large, wave power generations are one of the promising renewable energy. However, the system using the rotational motor and the conventional linear motor has problems caused by the mechanical loss and the output power amount. On the other hand, the authors have proposed “a helical motor” as a high thrust-density linear motor and the damping control using this motor. In the latest study, deriving the optimal damping gain, the regenerative efficiency maximization control for the motor was proposed and basically validated. In this paper, firstly, in comparison with the experiment, the numerical simulation, and the derived theoretical response, the calculations were validated. Then, from the numerical and theoretical analysis, the proposed control and design method were discussed. From this discussion, it can conclude the proposed design method can predict the existence range of the optimal damper gain.

<音声画像処理・認識>
  • 石川 智貴, 矢向 高弘
    2021 年 141 巻 1 号 p. 76-84
    発行日: 2021/01/01
    公開日: 2021/01/01
    ジャーナル 認証あり

    Predicting the human visual attention in an image is called saliency prediction, and is an active research area in the field of neuroscience and computer vision. Early works on saliency prediction was performed by using low-level features. In recent years, convolutional neural networks (CNN) have been adapted for saliency prediction and achieved the state-of-the-art performance. However, the eye-gaze depends on the personality of each viewer(1) and conventional methods did not take into account such individual properties of the viewer. Therefore, this paper proposes a novel saliency prediction method considering the influence of eye-gaze. Assuming that personality can be expressed as the degree of attention to an object, our proposed method considers the personality by learning which objects are likely to be perceived by each viewer, and weighting the universal saliency map with the generated mask based on the object detection results. The experimental results show that the proposed universal saliency map achieves higher accuracy than conventional methods on the public dataset, and the proposed weighted saliency map can reflect the variation of the eye-gaze influences among viewers.

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