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
143 巻, 7 号
選択された号の論文の18件中1~18を表示しています
特集:2022年電子・情報・システム部門大会
特集論文
<電気回路・電子回路>
  • 長島 直輝, 佐野 勇司
    2023 年 143 巻 7 号 p. 612-618
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    Future lighting will be LED for point light sources and Organic LED for surface light sources. This research proposes a system that achieves multiplex communications under wide illumination while maintaining the lighting performance by utilizing the three-color RGB lighting of Organic LEDs. Using red and blue lights modulated signals, which have small overlap in emission wavelengths, and separating and demodulating color signals through color filters. With the current panel performance, the high cutoff frequency of the emission was 5.51 kHz for red and 6.97 kHz for blue, which did not reach the 20 kHz required for the targeted low-frequency transmission. Therefore, peaking was applied to the driving circuit to increase the Organic LED emission to higher frequencies. The cutoff frequency of the luminescence is above 20 kHz for both red and blue light, and it is expected to transmit audio signal. The measured overall crosstalk from the blue signal to the red signal was -25.7 dB, and from the red signal to the blue signal was -31.9 dB. Because the crosstalk values reduced to these values, proposed system can be adapted to transmit stereo signal in the speaker environment.

  • 田丸 英駿, 佐野 勇司
    2023 年 143 巻 7 号 p. 619-625
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    Condensation on traffic mirrors in winter makes it difficult to check safety. As a solution, we proposed an anti-condensation system that heats the mirror surface using induction heating with high power efficiency, utilizing daytime charging energy. A design method was proposed, and the design error was less than 10.8%. Induction heating coils were selected, and Litz wire coils were found to be optimal. A prototype self-excited oscillation circuit was fabricated and its performance was evaluated.

  • 西山 直哉, 松井 文也, 佐野 勇司
    2023 年 143 巻 7 号 p. 626-633
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    We proposed exponentiation conversion circuit utilizing weak inversion operation by circuit design using practical voltage input and output with reducing circuit area. Because conventional circuit used input and output signal current and needed to convert signal current to signal voltage, it is not practical. Conventional circuit enabled exponentiation conversion by converting input signal current logarithmically, amplifying by power exponent value and converting signal to current exponentially. In order to enable convert small signal current in weak inversion region to 8bit 256 steps signal voltage with 10 mV per step, it is necessary to mount a few MΩ current voltage conversion resistance and difficult to mount on IC. Therefore, we reduced area of current voltage conversion resistance by using mult step current mirror circuit to amplify current. In addition, we proposed method to suppress MOSFET area increasing as side effect with decreasing of current density and completed the IC design. Feasibility of this IC will be confirmed by prototype IC soon.

<生体医工学・福祉工学>
  • Bin Li, Ryuki Iguchi, Hiroki Noyama, Tianyi Zheng, Kiyoshi Kotani, Yas ...
    2023 年 143 巻 7 号 p. 634-640
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    Brain-inspired intelligence technology is always cutting-edge research in Artificial Intelligence (AI). These years, mimicking the properties of nerve impulses in the brain, a new type of deep learning network structure has been introduced-Spiking Neural Networks (SNNs). However, the properties of SNNs are still poorly understood, especially their potential biological plausibility. Here, we investigated Spiking Recurrent Neural Networks (SRNNs) obtained by parameters transformation. We investigated their performance and characteristics when achieving working memory tasks under biological constraints from the real brain. Finally, it was proved that the constraints introduced by us are biologically reasonable and can help to create SNNs with keeping both working memory capacity and biological plausibility.

  • 宮原 優希, 榛葉 健太, 小谷 潔, 神保 泰彦
    2023 年 143 巻 7 号 p. 641-648
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    Peripheral sensitization, decrease in pain threshold in sensory neurons, can cause chronic pain. Little is known about how peripheral sensitization led to chronic pain. Here, we aimed to develop a method for evaluating peripheral sensitization in cultured sensory neurons with electrical recording. Sensory neurons from rat dorsal root ganglion were cultured on high-density microelectrode arrays, and their activity was evoked by capsaicin stimulation with or without substance P. Fluorescent imaging-based electrode selection effectively selected five times as many capsaicin-sensitive sensory neurons as the existing method. Peripheral sensitization by substance P was detected from 31.9% of selected sensory neurons, and majority of these neurons co-expressed capsaicin and substance P receptors. These results indicate that our method is suitable for evaluating peripheral sensitization by substance P in cultured sensory neurons.

<システム・計測・制御>
<音声画像処理・認識>
  • 大浦 杏奈, 浅井 拓也, 菊池 英明
    2023 年 143 巻 7 号 p. 686-693
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    Speech training methods using speech presentation are difficult to adapt to learning foreign languages or supporting the hearing impaired. Nonetheless, this issue could be resolved by displaying articulation movements. Therefore, it is necessary to devise a method of displaying articulation movements for speech training situations. In this study, real-time MRI (rtMRI) movie images of actual articulation movements were analyzed. However, the articulation movements imaged in rtMRI movies are incredibly fine and fast and impossible to discern with the naked eye. Therefore, we investigated a method for detecting articulation movements captured from rtMRI movies using optical flow. Analysis was performed on an rtMRI movie during /ra/ single-mora vocalizations, and movements of the tongue contacting and separating from the posterior part of the gums were well observed. These are considered to constitute detected articulation movements for /ra/ verbalizations. Thus, the proposed method could be used to confirm the movements during any mora speech. Furthermore, the proposed method could be useful for selecting articulation movements to be presented during speech training.

<ソフトコンピューティング・学習>
  • 寺西 大
    2023 年 143 巻 7 号 p. 694-700
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    Neural Network Collocation Method (NNCM) is a kind of model fitting method and is an effective imaging technique for application plasma tomographic imaging field that has limited to the number of views. The reconstructed image is represented as nonlinear combination of the basis functions by the activation functions of NNCM. NNCM could fit models based on few spatial location data because every basis function cover whole reconstruction region and are trained based on error back propagation algorithm. Therefore, the image could be effectively reconstructed even from few-view poor projection data. However, application of NNCM to practical imaging has an issue that NNCM requires many training epochs even to reconstruct a small-scale image. The main reason of the issue is attributed to that the small gradient value of sigmoid activation functions let the training speed slow.

    The paper proposes an improvement of NNCM by replacing the activation functions of hidden layers of NNCM with deep learning type ones which have larger gradient values, ReLU and tanh, to increase training speed of NNCM. Numerical simulation results show the effectiveness of the proposed method.

<情報処理・ソフトウェア>
  • 重松 大志, 松本 慎平
    2023 年 143 巻 7 号 p. 701-711
    発行日: 2023/07/01
    公開日: 2023/07/01
    ジャーナル 認証あり

    There is a learning method called “problem posing” in which learners create their own tasks. Previous research show that the problem posing can make the learner initiative, which enables more effective review and helps to consolidate the understanding than in conventional learning. For this reason, the learning with problem posing is said to be more effective than general learning. There have been several studies on programming learning support focusing on the effects of problem posing. In this study, we focus on fill-in-blank problems, which are widely used in programming education, and design and develop a new system that provides a learning task of problem posing on fill-in-the-blank programming problem. Fill-in-blank is a programming learning task that has been generally recognized as effective for learning. Therefore, asking students to post a learning task of fill-in-blank would be appropriate, and the problem posing of fill-in-blank programming problems is expected to be a higher learning effectiveness than usual fill-in-blank task.

特集研究開発レター
<生体医工学・福祉工学>
<メディア情報,ユーザ・インタフェース>
論文
<システム・計測・制御>
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