IEEE ESPA 2012 - January 12-14, 2012 - Las Vegas, Nevada, USA

Minoru Etoh

Biography:Dr Minoru Etoh has dual-roles as President & CEO of DOCOMO Innovations and Managing Director of Service & Solution Department ,Vice President of NTT DOCOMO. In 90's, he was leading an image communication research team in Panasonic and participated in MPEG-4 standardization. He joined Multimedia Laboratories of NTT DoCoMo in 2000. He contributed to launching DoCoMo's 3G mobile multimedia services. His contribution includes the first MP-4 enabled mobile content download service prior to ipod, the first distributed speech recognition service with cell-phones (notably of 16Khz sampling), and H.264 standardization for ITU/ISO joint team's Engineering Emmy Award 2008. In 2006, he launched a big data mining project in DOCOMO. Since then, he is leading that project for new service creation and enhancement, in addition to his business administration duty in California and Japan. He is still teaching mobile communication technologies in Osaka University as Visiting Professor.

His expertise covers a wide range of mobile multimedia and wrote several books and more than hundred journal papers in network architecture, terminal software, coding technologies, media transport, and data mining. He received his B.E. and M.S.E.E. from Hiroshima University, Ph.D. degree from Osaka University, in 1983, 1985 and 1993 respectively.

Signal Processing and Big Data in Mobile Communication

According to Wikipedia, signal processing is an area of systems engineering, electrical engineering and applied mathematics. Signals of interest can include sound, images, time-varying measurement values and sensors. Accordingly, in this talk, signals in mobile communication comprise two aspects: 1. data from mobile device sensors, and 2. data from infrastructure. The former aspect indicates that cell-phones have become vital information hubs in our daily life. After the emergence of smart phones in 2007, those mobile devices are commonly equipped with cameras for images, GPS sensors for locations, accelerometers for motions, magnetometers for directions, magnetic induction chips for NFC, and legacy microphones for sounds. Mobile devices are interacting with a real world those sensors in information retrieval. This talk highlights several examples on the evolution path from that aspect. The other aspect of "signals in mobile communication" is related to big data being captured by infrastructure. Infrastructure can be a mobile communication platform itself or another sensing platform such as a meteorological sensing system. This talk covers two platforms: 1. Earthquake Early Warning System in Japan which has almost 5000 seismometers and highly integrated with mobile cell-broadcasting systems, 2. A mining platform of aggregated mobile user data. A story about Japan's great earthquake disaster in March 2011 reveals that a large scale integration of sensor networks and mobile communication networks is highly demanded in general, and the technologies adopted here need more improvement in sensing and calculating unknown big data. The latter mining platform deals with aggregated data from user traffic flows or SNS activities, and it illustrates statistically our social behavior in real-time. This concludes the talk; signals exist from a sensor level to our society level. Signals from large-scale integration systems are acquiring important roles.


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