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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HPB
(2nd)
2014-02-28
16:40
Tokyo The University of Tokyo (Komaba II) iCSM: Automatic Recognition of Passing Automobile Sound Towards Sound Maps
Itaru Usami (Aoyama Gakuin Univ.), Niwat Thepvilojanapong (Mie Univ.), Naofumi Kitsunezaki, Yoshito Tobe (Aoyama Gakuin Univ.)
 [more]
ASN, RCS, NS, SR
(Joint)
2013-07-17
15:20
Shizuoka Hamamatsu Act City An Incentive Approach for Efficient Information Collection in Smartphone Sensing Environment
Tomoya Tsujimori, Niwat Thepvilojanapong (Mie Univ.), Hao Wang (Harbin Engineering Univ.), Yoshikatsu Ohta (Mie Univ.), Yunlong Zhao (Harbin Engineering Univ.), Yoshito Tobe (Aoyama Gakuin Univ.) ASN2013-48
Recently, the number of smartphone users is growing rapidly.
Recent smartphones equipped with several sensors are conve... [more]
ASN2013-48
pp.7-12
HPB
(2nd)
2013-06-17
13:45
Toyama Toyama Prefectural Univ. CSSP: Cooperative Sensor-data Stream Protocol
Ryosuke Ozaki (Aoyama Gakuin Univ.), Niwat Thepvilojanapong (Mie Univ), Teemu Leppanen (Univ of Oulu), Naofumi Kitsunezaki, Yoshito Tobe (Aoyama Gakuin Univ.)
 [more]
USN 2010-05-21
11:00
Tokyo Kikai-Shinko-Kaikan Bldg. SPAL : Sensing Real-World Attention
Yasunori Yakiyama (Tokyo Denki Univ.), Niwat Thepvilojanapong (Mie Univ.), Masayuki Iwai (Univ. of Tokyo), Kazunori Umeda (Chuo Univ.), Yoshito Tobe (Tokyo Denki Univ.) USN2010-7
This study aims at the establishment of measuring real-world attention automatically. We developed SPAL system using a l... [more] USN2010-7
pp.31-34
IN, RCS
(Joint)
2010-04-27
11:35
Tokyo Kikai-Shinko-Kaikan Bldg. A Scheduling Algorithm for Human-Probe Sensing Environments
Anas Basalamah (Univ. of Tokyo), Niwat Thepvilojanapong (Mie Univ.), Yoshito Tobe (Tokyo Denki Univ.), Kaoru Sezaki (Univ. of Tokyo) IN2010-9
Portable sensory devices carried by humans - which are referred to as Human Probes - facilitate easy-to-use sensing and ... [more] IN2010-9
pp.49-54
USN, IPSJ-UBI 2009-07-16
13:50
Kyoto ATR (Kyoto) Human Probes: Towards the Integration of Sensing in Human Activities
Shin'ichi Konomi, Niwat Thepvilojanapong, Yoshito Tobe (Tokyo Denki Univ./JST) USN2009-18
We introduce Human Probes, a novel approach to wide-scale sensing that considers the integration of sensing in human act... [more] USN2009-18
pp.59-62
USN 2009-05-22
15:00
Kanagawa Keio Univ. (Yagami) A Simulation Study of Human-Probe Approach for Urban Sensing
Niwat Thepvilojanapong, Shin'ichi Konomi, Yoshito Tobe (Tokyo Denki Univ./JST-CREST) USN2009-9
Portable sensory devices carried by humans - which are referred to as Human Probes - facilitate easy-to-use sensing and ... [more] USN2009-9
pp.49-54
IN 2008-12-11
14:45
Hiroshima Hiroshima City University Investigating Wireless Link Quality in 802.15.4 Networks
Niwat Thepvilojanapong, Yasuo Ariyoshi, Atsushi Hatori, Yasuyuki Ishida, Takahiro Ono, Yoshito Tobe (Tokyo Denki Univ.) IN2008-89
In the past decade, monitoring tasks have been received high attentions in many applications. To carry out such tasks, v... [more] IN2008-89
pp.19-24
USN, IPSJ-UBI 2008-07-17
10:20
Tokyo Tokyo Denki University (Tokyo) TomuDB: A Database Magagement System for Distributed Urban Sensors
Masayuki Iwai, Niwat Thepvilojanapong, Hiroki Ishizuka, Yoichi Nakamura, Keisuke Kanai (TUD), Yoh Shiraishi (Univ. of Tokyo), Yoshito Tobe (TUD)
Sensor network is a promising tool for collecting information about the real world without human's intervention.
Inste... [more]
USN2008-13
pp.13-18
NS, IN
(Joint)
2008-03-07
16:00
Okinawa Bankoku Shinryokan A Simulation Study of Distance-Based Packet Relay for Inter-Vehicle Communications
Niwat Thepvilojanapong, Shinji Motegi, Akira Idoue (KDDI Labs.) IN2007-230
Collision Warning Systems (CWS) can help reduce the probability and severity of car accidents by providing some sort of ... [more] IN2007-230
pp.425-429
NS 2007-04-20
10:25
Tokushima   An Evaluation Methodology for Intersection Collision Warning Systems
Niwat Thepvilojanapong, Shinji Motegi, Hiroki Horiuchi (KDDI R&D Labs.) NS2007-11
Collision Warning Systems (CWS) can help reduce the probability and severity of car accidents by providing some sort of ... [more] NS2007-11
pp.61-66
NS 2007-04-20
11:15
Tokushima   Proposal on Wide area DLNA communication system
Shinji Motegi, Kazuyuki Tasaka, Niwat Thepvilojanapong, Hiroki Horiuchi (KDDI R&D Labs.) NS2007-13
The spread of DLNA (Digital Living Network Alliance) certified consumer electronics has already started. There are some ... [more] NS2007-13
pp.71-76
SN
(2nd)
2006-05-19
14:35
Tokyo Tokyo Univ. of Science, Morito Memorial Hall A Study of Optimization the Mobile Sensor Network System
Niwat Thepvilojanapong (KDDI R&D Lab.), Yasunori Yakiyama, Yoshito Tobe (Tokyo Denki Univ.), Kaoru Sezaki (Univ. of Tokyo)
In a mobile-robot sparse sensor network, we propose a communication protocol called WISER (Wireless Interactive SEnsing ... [more]
NS, PN
(Joint)
2005-12-15
09:00
Ehime   WISER: Wireless Interactive SEnsing Robot Protocol -- Exploiting Intentional Mobility to Increase Sensing Performance --
Niwat Thepvilojanapong (Univ. of Tokyo), Yoshito Tobe (Tokyo Denki Univ.), Kaoru Sezaki (Univ. of Tokyo)
Sensor networks using mobile robots have recently been proposed to extend a capability of sensing. In this paper, we pro... [more] NS2005-133
pp.1-4
NS, IN 2005-03-04
16:00
Okinawa Okinawa Zanpa-misaki Royal An Efficient Multicast Routing Protocol for Wireless Sensor Networks
Niwat Thepvilojanapong (Univ. of Tokyo), Yoshito Tobe (Tokyo Denki Univ.), Kaoru Sezaki (Univ. of Tokyo)
In sensor network applications, communication with the sensors is required for the users to request information from the... [more] NS2004-329 IN2004-329
pp.419-422
LOIS, IN, ICM 2005-01-20
15:40
Fukuoka Fukuoka Institute of Technology On the Construction of Efficient Data Gathering Tree in Wireless Sensor Networks
Niwat Thepvilojanapong (Univ. of Tokyo), Yoshito Tobe (Tokyo Denki Univ.), Kaoru Sezaki (Univ. of Tokyo)
A wireless sensor network can be an effective tool for gathering data in a variety of environments. The data gathering p... [more] IN2004-149 TM2004-72 OIS2004-70
pp.31-36
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