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[Author] Tomohiko NAKAMURA(2hit)

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  • Winding Ratio Design of Transformer in Equivalent Circuit of Circular Patch Array Absorber

    Ryosuke SUGA  Tomohiko NAKAMURA  Daisuke KITAHARA  Kiyomichi ARAKI  Osamu HASHIMOTO  

     
    BRIEF PAPER

      Vol:
    E101-C No:8
      Page(s):
    651-654

    An equivalent circuit of a circular patch array absorber has been proposed, however the method to identify a winding ratio of a transformer in its circuit have never been reported. In this paper, it is indicated that the ratio is proportionate to the area ratio between patch and unit cell of the absorber, and the design method of the winding ratio is proposed. The winding ratio derived by the proposed method is agreed well with that by using electromagnetic simulator within 3% error. Moreover, the operating frequency and 15 dB bandwidth of the fabricated absorber designed by proposed method are agreed with those derived by the circuit simulation within 0.4% and 0.1% errors. Thus the validity of the proposed method is verified.

  • Visual Customer Relationship Management System that Supports Broadband Network E-Commerce

    Tetsushi MORITA  Tetsuo HIDAKA  Tomohiko NAKAMURA  Morihide OINUMA  Yutaka HIRAKAWA  

     
    PAPER-Network Application

      Vol:
    E87-B No:7
      Page(s):
    1789-1796

    Recently, broadband access is widely spreading, and many broadband network E-commerce services are planned and developed. This article proposes a broadband online shop where a videoconferencing system is used to enable direct, face-to-face communication. It is important for a broadband online shop to understand what preference their customers want in order to provide them with more appropriate information. By using customer preferences, a salesclerk can have a serviceable conversation with few questions to his online customers. So, we are developing a visual Customer Relationship Management system (v-CRM system) that offers customer preferences to broadband network service such as broadband online shop. In this paper, we classify customer preferences, and describe three visualization methods that enable customer preferences to be intuitively understood quickly. We outline the v-CRM evaluation system and describe an experiment where we evaluated how accurately customer preferences can be recognized using these methods. The results show that v-CRM system is effective for understanding customer preferences.