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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
US 2023-01-25
15:30
Online Online The Optimized Lethal Cancer Treatment using Immunology and ME -- Also considering the stance of ultrasound therapy --
Kazuhide Okada (NTMC) US2022-75
Even in the Pacific region, which is considered warmer, there are many cancer patients. Especially in Japan, more than h... [more] US2022-75
pp.24-29
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] 2021-01-26
12:45
Online Online SLM based FPGA-IP soft core
Yuya Nakazato, Hiroaki Koga (Kumamoto Univ.), Zhao Qian (KIT), Motoki Amagasaki, Morihiro Kuga, Masahiro Iida (Kumamoto Univ.) VLD2020-61 CPSY2020-44 RECONF2020-80
In the recent edge computing infrastructure, MEC (Multi-access Edge Computing) devices is considered to reduce the load ... [more] VLD2020-61 CPSY2020-44 RECONF2020-80
pp.125-130
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
09:30
Fukuoka   A mobile hypothesis for Neural Network (Digital Linguistics) -- Linguistic Processing by Spinal Sign Reflex Mechanism based on Inside Ventricle Immune Cell Networks --
Kumon Tokumaru (Writer) PRMU2018-48 IBISML2018-25
In 1983, IEEE set the international standard for 802.3 Ethernet, in 1999 ITU recommended another international standard ... [more] PRMU2018-48 IBISML2018-25
pp.81-88
RCS, SR, SRW
(Joint)
2018-03-02
09:40
Kanagawa YRP Evaluation of Dynamic-duplex Cellular System on LTE Downlink under Macro-cell Environment
Hiroto Kuriki, Keiichi Mizutani, Takeshi Matsumura, Hiroshi Harada (Kyoto Univ.) RCS2017-373
In this paper, we propose a dynamic-duplex cellular (DDC) system that adds an uplink (UL) communication to the downlink ... [more] RCS2017-373
pp.301-306
AP, WPT
(Joint)
2018-01-19
10:20
Nara ATR [Propagation Model Contest] Prediction Method using Deep-Learning for Path Loss Characteristics in An Virtual City Environment
Nobuaki Kuno, Motoharu Sasaki, Yasushi Takatori (NTT) AP2017-164
Attending a propagation model contest, we proposed a prediction model using deep-learning for prepared path loss data. B... [more] AP2017-164
pp.75-79
AP, SAT, SANE
(Joint)
2017-07-28
10:15
Aichi Nagoya Institute of Technology Path Loss Frequency Dependency of 2-66 GHz in an Urban Macro Cell Environment
Motoharu Sasaki, Mitsuki Nakamura, Minoru Inomata, Yasushi Takatori (NTT), Koshiro Kitao, Tetsuro Imai (NTT DoCoMo) AP2017-60
This paper presents a frequency dependency of path loss in an urban macro (UMa) cell environment on the basis of the mea... [more] AP2017-60
pp.81-86
CQ 2017-01-19
14:15
Osaka Osaka University Nakanoshima Center Femtocell Deployment from an Economics Perspective
Bo Gu (Kogakuin Univ./Waseda Univ.), Cheng Zhang, Zhi Liu (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Osamu Mizuno (Kogakuin Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2016-93
The ongoing enhancement of mobile devices capabilities and advanced technologies has largely contributed to the huge inc... [more] CQ2016-93
pp.19-24
AP, WPT
(Joint)
2017-01-19
14:10
Hiroshima Hiroshima Institute of Technology Path Loss Frequency Dependency of 2-26 GHz in an Urban Macro Cell Environment
Motoharu Sasaki, Mitsuki Nakamura, Minoru Inomata, Yasushi Takatori (NTT), Kosihro Kitao, Tetsuro Imai (DOCOMO) AP2016-133
This paper presents a frequency dependency of path loss in an urban macro (Uma) cell environment on the basis of the mea... [more] AP2016-133
pp.21-25
MI 2016-01-20
10:08
Okinawa Bunka Tenbusu Kan Quantification method of individual macrophage dynamics in living mouse brain using 11.7T time lapse MR images
Atsuki Tashita, Syoji Kobashi (Univ of Hyogo), Yuki Mori (Osaka Univ), Seichi Goshi (Kogakuin Univ), Masakazu Morimoto, Satoru Aikawa (Univ of Hyogo), Yoshichika Yoshioka (Osaka Univ), Yutaka Hata (Univ of Hyogo) MI2015-115
It is difficult to directly observe immune cells of living organs without any invasion. Macrophage is the representative... [more] MI2015-115
pp.205-210
NS, RCS
(Joint)
2015-12-18
13:55
Ehime Matsuyama Community Center Effect of Macro-cell Cooperation on Distributed Antenna Space-Time Block Coded Diversity
Hiroyuki Miyazaki, Fumiyuki Adachi (Tohoku Univ.) RCS2015-273
Small-cell network using distributed antennas, in which a number of antennas are spatially deployed over each macro-cell... [more] RCS2015-273
pp.175-180
CQ, ICM, NS
(Joint)
2015-11-27
13:20
Niigata Niigata University Pricing Strategy in Macro-Femto Heterogeneous Networks
Wafa Werda, Bo Gu (Waseda Univ.), Kyoko Yamori (Asahi Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2015-87
The important increase in wireless network traffic and especially in wireless data has become a big challenge for mobile... [more] CQ2015-87
pp.65-70
MI 2015-11-11
14:05
Nara NAIST Hungarian algorithm based macrophage tracking in time-lapse MR images
Atsuki Tashita, Syoji Kobashi (Univ of Hyogo), Yuki Mori (Osaka Univ), Masakazu Morimoto, Satoru Aikawa (Univ of Hyogo), Yoshichika Yoshioka (Osaka Univ), Yutaka Hata (Univ of Hyogo) MI2015-64
Immune cells deeply affect human health. however, it is difficult to directly observe immune cells in vivo. Macrophage i... [more] MI2015-64
pp.31-36
RCS, SR, SRW
(Joint)
2015-03-04
16:15
Tokyo Tokyo Institute of Technology Receiver design for VHF broadband mobile communication systems
Kiminobu Makino, Keiichi Mizutani, Hiroshi Harada (Kyoto Univ.) RCS2014-333
Broadband communication systems using VHF band are studied to secure wider coverage area than conventional cellular phon... [more] RCS2014-333
pp.189-194
ASN, RCS, NS, SR
(Joint)
2013-07-17
16:10
Shizuoka Hamamatsu Act City Joint Femtocell Clustering and Cross-tier Interference Mitigation with Distributed Antenna System in Small Cell Networks
Massa Ndong, Takeo Fujii (Univ. of Electro-Comm.) SR2013-21
Small cell networks improve the spectral area efficiency of macrocells.
The femtocells overlaid onto macrocell constitu... [more]
SR2013-21
pp.1-7
AP 2013-01-23
13:25
Miyazaki Hotel Merieges (Miyazaki City) Deterioration Mechanism of MIMO Channel Capacity and the Influence on Actual Environment
Masami Maruyama, Hiroaki Nakabayashi (Chiba Inst. of Tech.) AP2012-127
A deterioration mechanism of a MIMO channel capacity in multi-path propagation (LOS and NLOS) was studied by a theory an... [more] AP2012-127
pp.31-36
AP, SAT
(Joint)
2012-07-26
14:30
Hokkaido Hokkaido Univ. [Tutorial Lecture] Summary of Mobile Radio Propagation in Urban Macro Environments
Tetsuro Imai, Koshiro Kitao (NTT DOCOMO) AP2012-55
Recently, in order to improve the communication quality and achieve higher transmission rates in mobile communication sy... [more] AP2012-55
pp.143-148
RCS, AP
(Joint)
2009-11-26
11:10
Tokyo Tokyo Inst. of Tech. Experimental Analysis of Dual-polarized MIMO systems in Small Urban Macrocell Environments
Yohei Konishi, Lawrence Materum, Jun-ichi Takada (Tokyo Inst. of Tech.), Ichirou Ida, Yasuyuki Oishi (Fujitsu Ltd.) RCS2009-139
This paper presents clusterwise polarization characteristics based on an estimated MIMO channel of a small urban macroce... [more] RCS2009-139
pp.37-42
RCS, IN
(Joint)
2009-05-21
10:40
Tokyo Kikai-Shinko-Kaikan Bldg. Measurements of Outdoor MIMO Propagation for 3GHz-band Macro Cellular Systems
Tomoshige Kan (Tokyo Inst. of Tech./NICT), Ryuhei Funada, Junyi Wang, Hiroshi Harada (NICT), Jun-ichi Takada (Tokyo Inst. of Tech) RCS2009-5
Multi-Input-Multi-Output (MIMO) is an emerging technology for the 4th-generation mobile communication systems due to the... [more] RCS2009-5
pp.25-30
MW 2009-03-06
09:50
Tokyo NHK Science & Technical Research Lab. Polarization Characteristics of a Small Urban MIMO Macrocell
Yohei Konishi, Lawrence Materum, Mir Ghoraishi, Jun-ichi Takada (Tokyo Inst. of Tech.), Ichirou Ida, Yasuyuki Oishi (Fujitsu Ltd.) MW2008-191
This report presents clusterwise polarization characteristics taken from an estimated MIMO channel of a small urban macr... [more] MW2008-191
pp.13-18
RCS, NS
(Joint)
2008-07-17
16:10
Kyoto Kyoto University Channel Capacity Degradation Due to Interference from Femto Cell in a CDMA Cellular System
Motoki Morita, Kojiro Hamabe, Tetsuo Yama (NEC) RCS2008-40
Home NodeBs or femto cells are expected to expand coverage and increase transmission speed in indoor environment. Howeve... [more] RCS2008-40
pp.49-54
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