• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2014 Fiscal Year Final Research Report

A Disaster Prevention Broadcasting System Based on An Effective Audio Watermarking Scheme Using Spread Spectrum Techniques

Research Project

  • PDF
Project/Area Number 24510240
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Social systems engineering/Safety system
Research InstitutionTokyo National College of Technology

Principal Investigator

KOJIMA Tetsuya  東京工業高等専門学校, その他部局等, 教授 (20293136)

Co-Investigator(Kenkyū-buntansha) YOSHIMOTO Sadanobu  東京工業高等専門学校, 情報工学科, 准教授 (00321406)
MATSUMOTO Takahiro  山口大学, 大学評価室, 准教授 (10304495)
TANAKA Akira  東京工業高等専門学校, 情報工学科, 教授 (20578132)
DOI Nobukazu  東京工業高等専門学校, 情報工学科, 教授 (80547836)
Project Period (FY) 2012-04-01 – 2015-03-31
Keywords防災無線 / 防災サイレン / 情報ハイディング / 完全相補系列系 / ビット誤り率
Outline of Final Research Achievements

In this study, we proposed a novel disaster prevention broadcasting scheme based on audio data hiding using complete complementary codes. In the proposed system, the disaster information is embedded into siren sound. In the research period, the specific embedding and extracting algorithm has been proposed. The methods to set various parameters and to apply error correcting codes has also been proposed. In addition, a receiver application run on tablets and smartphones has been developed. After the stego siren sound conveying such information is broadcasted from a loud speaker, the embedded information can be extracted and displayed at the receiver such as tablets and smartphones. The effectiveness of the proposed system has been evaluated through analog transmission experiments using a loud speaker in the indoor scenario as well as numerical simulations. As a result, an effective information transmission can be realized with low bit error rates by setting appropriate parameters.

Free Research Field

情報理論,系列生成とその応用

URL: 

Published: 2016-06-03  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi