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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2017-11-10 11:25 |
Osaka | Osaka Univ. | On a Classification Function of an Asynchronous Cellular Automaton Spiking Neural Network Taiki Naka, Hiroyuki Torikai (Kyoto Sangyo Univ.)  CCS2017-29 |
In this paper, we consider a spike neural network consisting of asynchronous cellular automaton neurons, which has trans... [more] | CCS2017-29 pp.45-48 |
| CCS | 2017-11-10 14:30 |
Osaka | Osaka Univ. | On a DNA Damage Model based on Asynchronous Cellular Automaton Yoshimoto Takuya, Hiroyuki Torikai (Kyoto Sangyo Univ.) CCS2017-32 |
In this paper, we consider a modeling method of a gene network, which simulates dynamics triggered by DNA damage, using... [more] | CCS2017-32 pp.61-66 |
| SAT | 2017-10-26 13:50 |
Okinawa | Okinawa Cellular Telephone Company | Expectation toward the Satellite Communications from the viewpoint of a Cellular Operator Shunji Miura, Kazuhide Ando, Seiichi Yoshimura (NTT DOCOMO) SAT2017-43 |
Some examples of current satellite applications applied into the cellular systems are explained. In conventional usage, ... [more] | SAT2017-43 pp.37-42 |
| CQ | 2017-08-28 16:10 |
Tokyo | Tokyo University of Science | [Special Invited Talk]
Elements of Stochastic Geometry Analysis of Cellular Networks Koji Yamamoto (Kyoto Univ.) CQ2017-57 |
Stochastic geometry, which is used to analyze the interference and signal-to-interference-plus-noise power ratio, is int... [more] | CQ2017-57 pp.37-42 |
| NS, ASN, RCC, RCS, SR (Joint) |
2017-07-21 13:45 |
Hokkaido | Hokkaido Univ. | Elements of Stochastic Geometry Analysis of Cellular Networks Koji Yamamoto (Kyoto Univ.) RCC2017-47 NS2017-64 RCS2017-139 SR2017-62 ASN2017-55 |
Stochastic geometry, which is used to analyze the interference and signal-to-interference-plus-noise power ratio, is int... [more] | RCC2017-47 NS2017-64 RCS2017-139 SR2017-62 ASN2017-55 pp.185-190(RCC), pp.175-180(NS), pp.239-244(RCS), pp.197-202(SR), pp.211-216(ASN) |
| NLP | 2017-07-13 15:45 |
Okinawa | Miyako Island Marine Terminal | A Study of Image Inpainting Methods by using SD-CNN Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.) NLP2017-37 |
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] | NLP2017-37 pp.53-57 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-24 09:30 |
Okinawa | Okinawa Institute of Science and Technology | Elementary cellular automata and dynamic binary neural networks Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.) NC2017-13 |
This paper studies basic dynamic of elementary cellular automata(ECA): digital dynamical systems in which time, space a... [more] |
NC2017-13 pp.93-97 |
| RCS, IN, NV (Joint) |
2017-05-12 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Lecture]
Elements of Stochastic Geometry Analysis of Cellular Networks Koji Yamamoto (Kyoto Univ.) IN2017-8 RCS2017-46 |
Stochastic geometry, which is used to analyze the interference and signal-to-interference-plus-noise power ratio, is int... [more] | IN2017-8 RCS2017-46 pp.37-42(IN), pp.91-96(RCS) |
| NLP | 2017-03-14 11:15 |
Aomori | Nebuta Museum Warasse | Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS), Hisashi Aomori (Chukyo Univ.) NLP2016-109 |
We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi ... [more] | NLP2016-109 pp.19-24 |
| MBE, NC (Joint) |
2017-03-14 13:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of temporal change of astrocyte morphology under hypoxial adaptation using higher-order image features Tomohiro Nishino, Sosuke Tanaka, Masahiro Nitta, Takuma Sugashi, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2016-91 |
Astrocytes play an important role in controlling oxygen and nutrition from the blood to neurons. Although the shape of a... [more] | NC2016-91 pp.159-164 |
| RCS, SR, SRW (Joint) |
2017-03-02 11:15 |
Tokyo | Tokyo Institute of Technology | A Fenton Wilkinson Approximation-based PPP Model of Cellular Networks He Zhuang, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT), Tadao Nakagawa (Tottori university) RCS2016-315 |
[more] | RCS2016-315 pp.155-160 |
| SANE, SAT (Joint) |
2017-02-23 15:30 |
Chiba | Katsuura Hotel Mikazuki | Feature detection scheme using Cyclic Prefix (CP) in OFDM signal
-- Interference monitoring between satellite and cellular systems in millimeter band (in satellite uplink) -- Kanshiro Kashiki, Tomoki Sada (KDDI Research), Akihide Nagamine (Tokyo Tech.), Fumio Watanabe (KDDI Research/Tokyo Tech.) SAT2016-68 |
In the fifth generation cellular system, use of 28 GHz band is discussed as new radio frequency. Since the band is also ... [more] | SAT2016-68 pp.41-46 |
| AP (2nd) |
2017-01-26 - 2017-01-27 |
Overseas | Malaysia-Japan International Institute of Technology (MJIIT) | 28 GHz RF Transmitter for Cellular Network System Mohamad Faiz bin Mohamed Omar, Mohd Fadzil bin Ain (USM) |
In a microwave link, the analog data transmitted as radio waves in a particular band of the electromagnetic spectrum to ... [more] | |
| NC, NLP (Joint) |
2017-01-27 13:00 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Dynamic Binary Neural Networks with Local Connection Kazuma Makita, Toshimichi Saito (HU) NC2016-57 |
This paper studies of dynamic binary neural networks. The network is characterized by a signum activation fuction and ... [more] |
NC2016-57 pp.53-57 |
| OCS, CS (Joint) |
2017-01-19 16:45 |
Fukuoka | Kyushu Sangyo University | [Special Invited Talk]
Wireless Access and Optical Transmission Technologies for 5th Generation Cellular Systems Seiichi Sampei (Osaka Univ.) CS2016-69 |
In the fifth generation (5G) cellular systems, in addition to the extension of broadband multimedia services, machine to... [more] | CS2016-69 pp.31-35 |
| OPE, EST, LQE, EMT, PN, MWP, IEE-EMT [detail] | 2017-01-19 09:30 |
Mie | Iseshi Kanko Bunka Kaikan | [Invited Talk]
60 GHz band wireless access technology based on IEEE 802.11ad/WiGig and its future perspectives Koji Takinami, Naganori Shirakata, Kazuaki Takahashi (Panasonic) PN2016-71 EMT2016-100 OPE2016-146 LQE2016-135 EST2016-110 MWP2016-84 |
With successful launch of WiGig certification program by Wi-Fi Alliance on October 2016, the 60 GHz high speed wireless,... [more] | PN2016-71 EMT2016-100 OPE2016-146 LQE2016-135 EST2016-110 MWP2016-84 pp.207-212 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2016-98 |
In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for... [more] | MI2016-98 pp.101-106 |
| NS, RCS (Joint) |
2016-12-21 10:45 |
Ishikawa | Performance Evaluation of User Scheduling in Full-Duplex Cellular Networks Takuya Ohto, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) RCS2016-210 |
In full-duplex cellular (FDC) networks, a base station (BS) simultaneously transmits and receives signals on the same fr... [more] | RCS2016-210 pp.19-22 |
|
| NS, RCS (Joint) |
2016-12-22 11:05 |
Ishikawa | A Congestion Reducing Scheme in two-tier Cellular Networks using Device to Device Communication Shingo Sasaki, Kanayo Ogura, Bhed Bahadur Bista, Toyoo Takata (Iwate Prefectural Univ.) NS2016-130 |
In cellular networks such as LTE, it may be impossible for a user to satisfy data communication if a large number of Use... [more] | NS2016-130 pp.59-64 |
|
| SDM, EID | 2016-12-12 16:00 |
Nara | NAIST | Letter Recognition of Cellar Neural Network using Thin Film Transistors Sumio Sugisaki, Tokiyoshi Matsuda, Mutsumi Kimura (Ryukoku Univ.) EID2016-26 SDM2016-107 |
We are developing cellular neural networks using thin film transistors. We realized the neuron consisting of eight TFTs ... [more] | EID2016-26 SDM2016-107 pp.75-79 |
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