DEIM Forum 2017 E Netflix (Video on Demand) IP 4K [1] Video on D
|
|
- あきみ たけはな
- 4 years ago
- Views:
Transcription
1 DEIM Forum 2017 E Netflix (Video on Demand) IP 4K [1] Video on Demand ( VoD) () VoD VoD 2. 2 AbemaTV VoD VoD
2 H-AHB Mbps Mbps Mbps Mbps 1.5 Mbps Mbps C 1, C 2, C 3 1 H-AHB ( 1) 2. 3 (Near Video on Demand) (Near Video on Demand) VoD [2], [3], [4] Hierarchical Asynchronous Harmonic Broadcasting method ( H-AHB ) [5] H-AHB ( ) S 1, S 2, S 3 C 1 S 1 C 2 S 2, C 3 S 3 3 S S 1 (10 ) (20 ) ( )/ /( )/ H-AHB H-AHB 3 ()
3 2 H-AHB 1 3 H-AHB 2 4 H-AHB H-AHB Optimized Heterogeneous Periodic Broadcast [6] DB-GA Division-based Broadcasting method with Genetic Algorithm ( DB-GA ) DB-GA [7] Fast data broadcasting and receiving scheme ( FB ) [8] 4.5 Mbps 4.5 Mbps Mbps Mbps [9] 4.5 Mbps Mbps Mbps n b i (i = 1,, n) 2 e i 3 (4.1) w e i m n w = max(x i y i, 0) (1) j=1 i=1 x i y i
4 1 r V R j j D c j,i j i S i i e i S i d i S i D e i n k=1 e k { 0 (i = 0) 5 x i = d i c j,i + x max(i Rj,0) (1 i n) 6. y i = { 0 (i = 1) max(x i 1, y i 1 ) + d i 1 r V (2 i n) 4 e i d i 5 C i S i Multiple-Video broadcasting scheme with Repairing ( MV-R ) [10] Multiple-Video broadcasting method considering Data size [11] Synchronized Double Buffering Broadcasting [12] Data Packet Broadcasting ( DPB ) [13] 6. 1 T elecas T elecommunication and BroadCasting System (T elecas) [14] T elecas FB MV-R T elecas 2 T elecas ( ) T elecas 6. 2 T elecas T elecas 5 T elecas 5 1 T elecas 1.5 T elecas 1
5 6 8 7 T elecas T elecas 1 1 T elecas IP T elecas T elecas T elecas T elecas IGMP-Snooping [15] T elecas 1 3 Gigabit Ethernet T elecas T elecas Mbps 7. 2 T elecas T elecas
6 8 DB-GA Mbps Mbps 3 10 Mbps T elecas 1.0 Mbps 10 Mbps DB-GA Bytes Mbps Mbps DB-GA T elecas DB-GA FB 11.1 MBytes 17.0 MBytes 22.5 MBytes 28.1 MBytes 33.8 MBytes 5 9 ( ) 5.0 Mbps 5.0 Mbps T elecas DB-GA Mbps Mbps 150 FB Mbps DB-GA Bytes 2.35 FB Bytes 8.9 DB-GA FB FB 5.0 Mbps 4.5 Mbps DB-GA 5.0 Mbps T elecas DB-GA FB T elecas DB-GA 7. 5
7 10 ( ) T elecas DB-GA H-AHB Mbps Mbps DB-GA C i i H-AHB C i i 1.0 Mbps Mbps 1 DB-GA H-AHB T elecas DB-GA H-AHB T elecas IGMP-Snooping JOIN T elecas JOIN JOIN T elecas DB-GA MV-R MBytes 22.5 Mbps 22.5 Mbps 5 DB-GA Mbps 5 5 MV-R Mbps DB-GA 4.39 MV-R 6.0 DB-GA MV-R DB-GA 15 MV-R 10 1 T elecas 7. 7
8 B B 15H02702 C 16K T elecas 12 DB-GA DPB 4.0 Mbps 4.0 Mbps 7. 1 Dummynet 20 DB-GA 5.63 DPB T elecas DPB DPB 8. [1] ) p df ( ) [2] Hua, K.A., Bagouet, O. and Oger, D.: Periodic Broadcast Protocol for Heterogeneous Receivers, Proc. ACM Multimedia Computing and Networking, Vol.5019, No.1, pp (2003). [3] Mahanti, A., Eager, D., Vernon, M. and Sundaram-Stukel, D.: Scalable On-Demand Media Streaming with Packet Loss Recovery, IEEE/ACM Trans. on Networking, pp (2003). [4] B Vol.J91-B No.3 pp (2008). [5] D Vol.J91-D No.3 pp (2008) [6] Shi, L., Sessini, P., Mahanti, A., Li, Z. and Eager, D.L.: Scalable Streaming for Heterogeneous Clients, Proc. ACM Multimedia, pp (2006). [7] Vol.12 No.5 pp (1997) [8] Juhn, L. and Tseng, L.: Fast Data Broadcasting and Receiving Scheme for Popular Video Service, IEEE Trans. on Broadcasting, Vol.44, No.1, pp (1998). [9] Vol.2016 pp (2016) [10] Chen, Y. and Huang, K.: Multiple Videos Broadcasting Scheme for Near Video-on-Demand Services, Proc. IEEE International. Conference. on Signal Image Technology and Internet Based Systems 2008, pp (2008). [11] Gotoh, Y.: A Scheduling Method for Division Based Broadcasting of Multiple Video Considering Data Size, Proc. 4th International Workshop on Advances in Data Engineering and Mobile Computing, pp (2015). [12] Vol.109 No,.449 pp (2010). [13] Vol.2012-DPS-152 No.24 pp.1-8 (2012). [14] B Vol.J96-B No.10 pp (2013) [15] :CO-BSW08GTXVL2 ( ) ( )
Web Social Networking Service Virtual Private Network 84
Promising business utilized five senses information media through the Next Generation Network Toshio ASANO Next Generation Network 2004 11 2010 6,000 3,000 2006 12 2008 83 Web Social Networking Service
More information8 P2P P2P (Peer-to-Peer) P2P P2P As Internet access line bandwidth has increased, peer-to-peer applications have been increasing and have great impact
8 P2P (Peer-to-Peer) P2P P2P As Internet access line bandwidth has increased, peer-to-peer applications have been increasing and have great impact on networks. In this paper, we review traffic issues for
More information外国語学部_紀要34号(横書)/11_若山
IETF Internet Engineering Task Force MANET Mobile Ad Hoc Network ITS Intelligent Transport Systems ITS ITS VICS Vehicle Information and Communication System ETC Electronic Toll Collection System VICS IETF
More informationIPSJ SIG Technical Report Vol.2014-DBS-159 No.6 Vol.2014-IFAT-115 No /8/1 1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Info
1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Information Science and Technology, Osaka University a) kawasumi.ryo@ist.osaka-u.ac.jp 1 1 Bucket R*-tree[5] [4] 2 3 4 5 6 2. 2.1 2.2 2.3
More informationTHE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. P2P
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. P2P 337-87 37 E-mail: {m199,miyoshi}@shibaura-it.ac.jp, olivier.fourmaux@upmc.fr P2P P2P ISP Internet Service
More information27 YouTube YouTube UGC User Generated Content CDN Content Delivery Networks LRU Least Recently Used UGC YouTube CGM Consumer Generated Media CGM CGM U
YouTube 2016 2 16 27 YouTube YouTube UGC User Generated Content CDN Content Delivery Networks LRU Least Recently Used UGC YouTube CGM Consumer Generated Media CGM CGM UGC UGC YouTube k-means YouTube YouTube
More informationMicrosoft Word - toyoshima-deim2011.doc
DEIM Forum 2011 E9-4 252-0882 5322 252-0882 5322 E-mail: t09651yt, sashiori, kiyoki @sfc.keio.ac.jp CBIR A Meaning Recognition System for Sign-Logo by Color-Shape-Based Similarity Computations for Images
More information17 Multiple video streams control for the synchronous delivery and playback 1085404 2006 3 10 Web IP 1 1 1 3,,, i Abstract Multiple video streams control for the synchronous delivery and playback Yoshiyuki
More informationMANET MANET MANET (DTN: Delay Tolerant Network) DTN DTN DTN DTN [7], [3], [11] [8] % N M m M n N D(m, n) Size(m) m MD(m) m M, n N, MD(m) = max{d
DEIM Forum 2013 F1-4 DTN, 565-0871 1-5 567-0047 5-1 184-8795 4-2-1 565-0871 2-1 E-mail: {sawamura.yusuke,nishio}@ist.osaka-u.ac.jp, teranisi@cmc.osaka-u.ac.jp, harumoto@eng.osaka-u.ac.jp DTN (DTN ) DTN
More informationPublish/Subscribe KiZUNA P2P 2 Publish/Subscribe KiZUNA 2. KiZUNA 1 Skip Graph BF Skip Graph BF Skip Graph Skip Graph Skip Graph DDLL 2.1 Skip Graph S
KiZUNA: P2P 1,a) 1 1 1 P2P KiZUNA KiZUNA Pure P2P P2P 1 Skip Graph ALM(Application Level Multicast) Pub/Sub, P2P Skip Graph, Bloom Filter KiZUNA: An Implementation of Distributed Microblogging Service
More information1. HNS [1] HNS HNS HNS [2] HNS [3] [4] [5] HNS 16ch SNR [6] 1 16ch 1 3 SNR [4] [5] 2. 2 HNS API HNS CS27-HNS [1] (SOA) [7] API Web 2
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 657 8531 1 1 E-mail: {soda,matsubara}@ws.cs.kobe-u.ac.jp, {masa-n,shinsuke,shin,yosimoto}@cs.kobe-u.ac.jp,
More information2.2 (a) = 1, M = 9, p i 1 = p i = p i+1 = 0 (b) = 1, M = 9, p i 1 = 0, p i = 1, p i+1 = 1 1: M 2 M 2 w i [j] w i [j] = 1 j= w i w i = (w i [ ],, w i [
RI-002 Encoding-oriented video generation algorithm based on control with high temporal resolution Yukihiro BANDOH, Seishi TAKAMURA, Atsushi SHIMIZU 1 1T / CMOS [1] 4K (4096 2160 /) 900 Hz 50Hz,60Hz 240Hz
More informationDEIM Forum 2012 E Web Extracting Modification of Objec
DEIM Forum 2012 E4-2 670 0092 1 1 12 E-mail: nd11g028@stshse.u-hyogo.ac.jp, {dkitayama,sumiya}@shse.u-hyogo.ac.jp Web Extracting Modification of Objects for Supporting Map Browsing Junki MATSUO, Daisuke
More informationFIT2014( 第 13 回情報科学技術フォーラム ) RD-002 Web SNS Yuanyuan Wang Gouki Yasui Yuji Hosokawa Yukiko Kawai Toyokazu Akiyama Kazutoshi Sumiya 1. Twitter 1 Facebo
RD-002 Web SNS Yuanyuan Wang Gouki Yasui Yuji Hosokawa Yukiko Kawai Toyokazu Akiyama Kazutoshi Sumiya 1. Twitter 1 Facebook 2 SNS SNS SNS Twitter SNS [1] SNS [2] Twitter Web Web Web Web SNS Web Web 2 Web
More informationスライド 1
WWW Request Client Data Server Request Data Client WWW Request Data Client Server Request Data Client WWW CPU Request Data Client Server Request Data Client Request Client Data Server Request Data Client
More information1 Web DTN DTN 2. 2 DTN DTN Epidemic [5] Spray and Wait [6] DTN Android Twitter [7] 2 2 DTN 10km 50m % %Epidemic 99% 13.4% 10km DTN [8] 2
DEIM Forum 2014 E7-1 Web DTN 112 8610 2-1-1 UCLA Computer Science Department 3803 Boelter Hall, Los Angeles, CA 90095-1596, USA E-mail: yuka@ogl.is.ocha.ac.jp, mineo@cs.ucla.edu, oguchi@computer.org Web
More information2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC
H.264 CABAC 1 1 1 1 1 2, CABAC(Context-based Adaptive Binary Arithmetic Coding) H.264, CABAC, A Parallelization Technology of H.264 CABAC For Real Time Encoder of Moving Picture YUSUKE YATABE 1 HIRONORI
More information1 DHT Fig. 1 Example of DHT 2 Successor Fig. 2 Example of Successor 2.1 Distributed Hash Table key key value O(1) DHT DHT 1 DHT 1 ID key ID IP value D
P2P 1,a) 1 1 Peer-to-Peer P2P P2P P2P Chord P2P Chord Consideration for Efficient Construction of Distributed Hash Trees on P2P Systems Taihei Higuchi 1,a) Masakazu Soshi 1 Tomoyuki Asaeda 1 Abstract:
More informationDEIM Forum 2019 H2-2 SuperSQL SuperSQL SQL SuperSQL Web SuperSQL DBMS Pi
DEIM Forum 2019 H2-2 SuperSQL 223 8522 3 14 1 E-mail: {terui,goto}@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp SuperSQL SQL SuperSQL Web SuperSQL DBMS PipelineDB SuperSQL Web Web 1 SQL SuperSQL HTML SuperSQL
More information23
Master's Thesis / 修 士 論 文 映 像 配 信 の 中 断 から 復 旧 までの 時 間 を 短 縮 するネットワーク 再 構 築 手 法 の 改 良 隅 田, 貴 久 三 重 大 学, 2011. 三 重 大 学 大 学 院 地 域 イノベーション 学 研 究 科 博 士 前 期 課 程 地 域 イノベーション 学 専 攻 http://hdl.handle.net/10076/12400
More informationCore1 FabScalar VerilogHDL Cache Cache FabScalar 1 CoreConnect[2] Wishbone[3] AMBA[4] AMBA 1 AMBA ARM L2 AMBA2.0 AMBA2.0 FabScalar AHB APB AHB AMBA2.0
AMBA 1 1 1 1 FabScalar FabScalar AMBA AMBA FutureBus Improvement of AMBA Bus Frame-work for Heterogeneos Multi-processor Seto Yusuke 1 Takahiro Sasaki 1 Kazuhiko Ohno 1 Toshio Kondo 1 Abstract: The demand
More information核融合…予稿集
9:30 9:45 9:45 10:00 10:05 10:10 10:10 10:40 2 3 10:40 11:10 11:10 11:40 11:40 12:00 6 7 8 9 10 11 13:10 13:20 13:20 14:00 14:00 14:20 14:20 14:40 14:50 15:20 15:20 15:50 15:50 15:55 14 15 16 17 18 19
More informationVoIP Broadcasting System 2/2 IP Convergence Communication Solution IP paradigm Integration & Management VoIP IP VoIP VoIP IT < 02-06-12>
2003. 5. 22 AddPac Technology Proprietary VoIP Broadcasting System 2/2 IP Convergence Communication Solution IP paradigm Integration & Management VoIP IP VoIP VoIP IT < 02-06-12> 8Khz 16Khz CDMA ADSL VoIP
More informationTCP-STAR a) Implementation and Evaluation of TCP-STAR: TCP Congestion Control Method for Satellite Internet Hiroyasu OBATA a), Kazuhiro TAIRA, and Ken
TCP-STAR a) Implementation and Evaluation of TCP-STAR: TCP Congestion Control Method for Satellite Internet Hiroyasu OBATA a), Kazuhiro TAIRA, and Kenji ISHIDA TCP NewReno TCP TCP-STAR TCP-STAR TCP TCP-STAR
More informationVol.54 No (Nov. 2013) P2P 1,a) 1,b) 1,c) 1,d) , P2P CG P2P A Method to Reduce Interruption Time of Model and Motion Sep
P2P 1,a) 1,b) 1,c) 1,d) 2013 1 7, 2013 9 13 P2P CG P2P A Method to Reduce Interruption Time of Model and Motion Separated Contents in P2P Streaming Environments Masahiro Yokoyama 1,a) Tomoki Yoshihisa
More informationBleutooth 2009 Bluetooth Ver.3.0 Bluetooth LAN Bluetooth Bluetooth Bluetooth 2. Bluetooth ( Bluetooth) Bluetooth ( Bluetooth) 2. 1 Bluetooth IEEE802.1
DEIM Forum 2011 B9-4 Bluetooth 111 111 1-1 E-mail: {tomomi,komiyama,shimoda,yokota}@c.oka-pu.ac.jp, liu@mis.ous.ac.jp Bluetooth Bluetooth Bleutooth Bluetooth Bluetooth Bluetooth,, Examination of Positional
More information. 2015 2013 2014 2015 2 3 4 1 33 2. 1 2-1 2010 3,018 399 0.7 0.8 2005 2010 2-2 2010 4,944 1,112 3.9 8.9 2005 2010 9,400 2-1 2-2 2 2-1 NITAS ver2.2 [ 2 ] 30 30 10 5m 20 30 10km 2-3 30 10 2 34 35 36 (2)
More informationIPSJ SIG Technical Report Vol.2014-MBL-70 No.49 Vol.2014-UBI-41 No /3/15 2,a) 2,b) 2,c) 2,d),e) WiFi WiFi WiFi 1. SNS GPS Twitter Facebook Twit
2,a) 2,b) 2,c) 2,d),e) WiFi WiFi WiFi 1. SNS GPS Twitter Facebook Twitter Ustream 1 Graduate School of Information Science and Technology, Osaka University, Japan 2 Cybermedia Center, Osaka University,
More informationRun-Based Trieから構成される 決定木の枝刈り法
Run-Based Trie 2 2 25 6 Run-Based Trie Simple Search Run-Based Trie Network A Network B Packet Router Packet Filtering Policy Rule Network A, K Network B Network C, D Action Permit Deny Permit Network
More information1 2 3 マルチメディア, 分散, 協調とモバイル (DICOMO2013) シンポジウム 平成 25 年 7 月.,.,,.,. Surrogate Diner,., Surrogate Diner,, 3,, Surrogate Diner. An Interface Agent for Ps
1 2 3 マルチメディア, 分散, 協調とモバイル (DICOMO2013) シンポジウム 平成 25 年 7 月.,.,,.. Surrogate Diner,., Surrogate Diner, 3,, Surrogate Diner. An Interface Agent for Pseudo Co-Dining with a Remote Person TAKUTO SHIOHARA 1
More information独立行政法人情報通信研究機構 Development of the Information Analysis System WISDOM KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the infor
独立行政法人情報通信研究機構 KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the information analysis system WISDOM as a research result of the second medium-term plan. WISDOM has functions that
More information2.R R R R Pan-Tompkins(PT) [8] R 2 SQRS[9] PT Q R WQRS[10] Quad Level Vector(QLV)[11] QRS R Continuous Wavelet Transform(CWT)[12] Mexican hat 4
G-002 R Database and R-Wave Detecting System for Utilizing ECG Data Takeshi Nagatomo Ikuko Shimizu Takeshi Ikeda Akio Sashima Koichi Kurumatani R R MIT-BIH R 90% 1. R R [1] 2 24 16 Tokyo University of
More information光アクセスの可能性を大きく広げる10G-EPONシステム
10G-EPON 10G-EPON System Broadens Possibility of Optical Access 新井正博 当摩栄作 川上貴士 坂井典生 あらまし FTTH Fiber To The Home 2600 M2M Machine-to-Machine FTTHGE- PON Gigabit Ethernet-Passive Optical Network 10G 10G-EPON
More informationInternet Live Broadcasting of the Cycling Championships, Tomohito WADA, Koichi SHIMOZONO, and Masato MASUYA Information Technology Center for Sports S
Internet Live Broadcasting of the Cycling Championships, Tomohito WADA, Koichi SHIMOZONO, and Masato MASUYA Information Technology Center for Sports Sciences, National Institute of Fitness and Sports in
More information1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15. 1. 2. 3. 16 17 18 ( ) ( 19 ( ) CG PC 20 ) I want some rice. I want some lice. 21 22 23 24 2001 9 18 3 2000 4 21 3,. 13,. Science/Technology, Design, Experiments,
More information知能と情報, Vol.30, No.5, pp
1, Adobe Illustrator Photoshop [1] [2] [3] Initital Values Assignment of Parameters Using Onomatopoieas for Interactive Design Tool Tsuyoshi NAKAMURA, Yuki SAWAMURA, Masayoshi KANOH, and Koji YAMADA Graduate
More informationDEIM Forum 2010 D Development of a La
DEIM Forum 2010 D5-3 432-8011 3-5-1 E-mail: {cs06062,cs06015}@s.inf.shizuoka.ac.jp, {yokoyama,fukuta,ishikawa}@.inf.shizuoka.ac.jp Development of a Large-scale Visualization System Based on Sensor Network
More information1 I/F I/F 1 6) MobileIP 7) 8) MN: Monile Node MN AR Mobility Anchor Point(MAP) MobileIP HMIP HMIP HA-MAP MN MAP MN MAP HMIP MAP MN 2 MobileIP Mo
1 2 2 I/F Mobility Anchor Point MAP Composite Wireless Access Networks on Mobile Communications and Its Evaluation Abstract: In emerging wireless communication environments, mobile terminals that have
More informationDEIM Forum 2019 A7-1 Flexible Distance-based Hashing mori
DEIM Forum 2019 A7-1 Flexible Distance-based Hashing 731 3194 E-mail: mc66023@e.hiroshima-cu.ac.jp,{wakaba,s naga,inagi,yoko}@hiroshima-cu.ac.jp, morikei18@gmail.com Flexible Distance-based Hashing(FDH)
More informationuntitled
4 1 4.1................................................. 1 4.1.1........................................ 1-1 4 17 11 30 4.1 2001 49% 2,400 47% 6,000 2001 390 8% 2005 3000 1000 IT 1 ADSL(Asymmetric Digital
More informationIPSJ SIG Technical Report Vol.2015-GN-93 No.29 Vol.2015-CDS-12 No.29 Vol.2015-DCC-9 No /1/27 1,a) 1 1 LAN IP 1), 2), 3), 4), 5) [
1,a) 1 1 LAN IP 1), 2), 3), 4), 5) 1. 2011 50 60 [14] [14] 1 NTT 3-4-1 Shibaura, Minato-ku, Tokyo 108-8118, Japan a) t.nakakura@ntt.com Web P2P(Peer to Peer) P2P [19] 1 World Wide Web Consortium( W3C)
More informationVol. 42 No. SIG 8(TOD 10) July HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Spe
Vol. 42 No. SIG 8(TOD 10) July 2001 1 2 3 4 HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Speed Networks Yutaka Kidawara, 1 Tomoaki Kawaguchi, 2
More informationmain.dvi
DEIM Forum 2016 C5-4 305-8573 1-1-1 305-8573 1-1-1 Wikipedia Wikipedia () ( ),,, A Method of Assisting Movie Summarization by Aligning Plot Sentences and Shots ueshan LI, Kentaro DOMOTO, and Takehito UTSURO
More informationCSIS (No.324) {kazuya-o, okuda, 2012 IP (LBM) IPv6 GALMA LBM GALMA GALMA 1 (LBM:Location Based Multicast) LBM IP IP GALMA (Geograp
CSIS (No.324) {kazuya-o, okuda, suguru}@is.naist.jp 2012 IP (LBM) IPv6 GALMA LBM GALMA GALMA 1 (LBM:Location Based Multicast) LBM IP IP GALMA (Geographically Aggregatable Location-based Multicast Address)
More information([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss
DEIM Forum 2016 H6-3 SuperSQL CSS 223 8522 3-14-1 E-mail: {ryosuke,goto}@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp SuperSQL, SQL. SuperSQL HTML, PHP,,,, SuperSQL Web, CSS 1. SQL, SuperSQL, CSS SuperSQL,
More informationuntitled
1 211022 2 11150 211022384 3 1000 23% 77% 10% 10% 5% 20% 15% 40% 5% 3% 8% 16% 15% 42% 5% 6% 4 =1000 = 66 5 =1000 = 59 6 52%(42% 1000 7 56% 41% 40% 97% 3% 11%, 2% 3%, 41 7% 49% 30%, 18%, 40%, 83% =1000
More informationP01_表紙
INDEX MEDIA DATA 2017 2 MEDIA DATA 2017 3 4.9 6.1 3.4 3.9 11.7 11.4 11.5 10.9 7.7 4.9 5.7 6.5 4.4 3.9 2.4 3.3 MEDIA DATA 2017 4 70.6 69.2 67.3 63.7 11.6 8.9 10.4 6.9 16.6 15.6 15.1 12.7 9.7 8.6 9.0 14.2
More informationDEIM Forum 2017 H2-2 Android LAN Android 1 Android LAN
DEIM Forum 2017 H2-2 Android LAN 112-8610 2-1-1 163-8677 1-24-2 E-mail: {ayano,oguchi}@ogl.is.ocha.ac.jp, sane@cc.kogakuin.ac.jp Android 1 Android LAN Ayano KOYANAGI, Saneyasu YAMAGUCHI, and Masato OGUCHI
More informationIPSJ SIG Technical Report Vol.2015-MUS-106 No.10 Vol.2015-EC-35 No /3/2 BGM 1,4,a) ,4 BGM. BGM. BGM BGM. BGM. BGM. BGM. 1.,. YouTube 201
BGM 1,4,a) 1 2 2 3,4 BGM. BGM. BGM BGM. BGM. BGM. BGM. 1.,. YouTube 2015 1 100.. Web.. BGM.BGM [1]. BGM BGM 1 Waseda University, Shinjuku, Tokyo 169-8555, Japan 2 3 4 JST CREST a) ha-ru-ki@asagi.waseda.jp.
More informationChip Size and Performance Evaluations of Shared Cache for On-chip Multiprocessor Takahiro SASAKI, Tomohiro INOUE, Nobuhiko OMORI, Tetsuo HIRONAKA, Han
Chip Size and Performance Evaluations of Shared Cache for On-chip Multiprocessor Takahiro SASAKI, Tomohiro INOUE, Nobuhiko OMORI, Tetsuo HIRONAKA, Hans J. MATTAUSCH, and Tetsushi KOIDE 1 1 2 0.5 µm CMOS
More informationIEEE e
2007 IEEE 802.11e LAN VoIP 2008 2 4 3606U075-2 1 5 1.1...................................... 5 1.2...................................... 5 1.3..................................... 6 2 IEEE 802.11e LAN
More informationxx/xx Vol. Jxx A No. xx 1 Fig. 1 PAL(Panoramic Annular Lens) PAL(Panoramic Annular Lens) PAL (2) PAL PAL 2 PAL 3 2 PAL 1 PAL 3 PAL PAL 2. 1 PAL
PAL On the Precision of 3D Measurement by Stereo PAL Images Hiroyuki HASE,HirofumiKAWAI,FrankEKPAR, Masaaki YONEDA,andJien KATO PAL 3 PAL Panoramic Annular Lens 1985 Greguss PAL 1 PAL PAL 2 3 2 PAL DP
More information3 16 2 27 4497 LAN(Local Area Network) OFDM(Orthogonal Frequency Division Multiplexing) 12 3 3 12 3 12 33. F/B 22.7dB 3 F/B i 1 1 2 3 8 2.1................................. 8 2.2.............................
More information2007/8 Vol. J90 D No. 8 Stauffer [7] 2 2 I 1 I 2 2 (I 1(x),I 2(x)) 2 [13] I 2 = CI 1 (C >0) (I 1,I 2) (I 1,I 2) Field Monitoring Server
a) Change Detection Using Joint Intensity Histogram Yasuyo KITA a) 2 (0 255) (I 1 (x),i 2 (x)) I 2 = CI 1 (C>0) (I 1,I 2 ) (I 1,I 2 ) 2 1. [1] 2 [2] [3] [5] [6] [8] Intelligent Systems Research Institute,
More information2 3, 4, 5 6 2. [1] [2] [3]., [4], () [3], [5]. Mel Frequency Cepstral Coefficients (MFCC) [9] Logan [4] MFCC MFCC Flexer [10] Bogdanov2010 [3] [14],,,
DEIM Forum 2016 E1-4 525-8577 1 1-1 E-mail: is0111rs@ed.ritsumei.ac.jp, oku@fc.ritsumei.ac.jp, kawagoe@is.ritsumei.ac.jp 373 1.,, itunes Store 1, Web,., 4,300., [1], [2] [3],,, [4], ( ) [3], [5].,,.,,,,
More informationP2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i
27 Verification of the usefulness of the data distribution method by browser cache sharing 1160285 2016 2 26 P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i Abstract Verification
More informationVol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3
36 Kitchen of the Future: Kitchen of the Future Kitchen of the Future A kitchen is a place of food production, education, and communication. As it is more active place than other parts of a house, there
More information双方向映像配信とブロードバンドへの適用
Interactive Video Conferencing and Its Application to Broadband TV TV ISDN MPEG-4 - Abstract New business chances are emerging in the multimedia communication market due to the maturity of Internet technology,
More informationTCP T ransmission Control Protocol TCP TCP TCP TCP TCP TCP TCP TCP c /(18)
3 -- 4 1 TCP T ransmission Control Protocol 2013 12 TCP TCP TCP TCP TCP TCP TCP TCP c 2013 1/(18) 3 -- 4 -- 1 1--1 TCP 2013 12 TCP Transmission Control Protocol TCP TCP TCP 1981 RFC 793 Request for Comments
More informationDuplicate Near Duplicate Intact Partial Copy Original Image Near Partial Copy Near Partial Copy with a background (a) (b) 2 1 [6] SIFT SIFT SIF
Partial Copy Detection of Line Drawings from a Large-Scale Database Weihan Sun, Koichi Kise Graduate School of Engineering, Osaka Prefecture University E-mail: sunweihan@m.cs.osakafu-u.ac.jp, kise@cs.osakafu-u.ac.jp
More information3_39.dvi
Vol. 49 No. 3 Mar. 2008 Web 1 2 PC Web Web Windows Web Access Watchdog Systems for Children Protection Tatsumi Ueda 1 and Yoshiaki Takai 2 For today s children, the Internet is one of the most familiar
More information212 5% NBC (National Broadcasting Company, 3 1 ) 45% ( 1) [1] App Store Netflix Amazon OTT (Over-The-Top, ) MNO (Mobile Network Operator, ) 46% 47% 37
213 2 LTE LTE 212 5% NBC (National Broadcasting Company, 3 1 ) 45% ( 1) [1] App Store Netflix Amazon OTT (Over-The-Top, ) MNO (Mobile Network Operator, ) 46% 47% 37% 55% 11% 24% 45% : Google 1: Google
More information図 2: 高周波成分を用いた超解像 解像度度画像とそれらを低解像度化して得られる 低解像度画像との差により低解像度の高周波成分 を得る 高解像度と低解像度の高周波成分から位 置関係を保ったままパッチ領域をそれぞれ切り出 し 高解像度パッチ画像と低解像度パッチ画像の ペアとしてデータベースに登録する
Exemplar-Based Super-Resolution of Human Body Image in Surveillance Video 1 1,2 1 1 1 Kento Nishibori 1, Tomokazu TAKAHASHI 1,2, Daisuke DEGUCHI 1, Ichiro IDE 1 and Hiroshi MURASE 1 1 2 nishiborik@murase.m.is.nagoya-u.ac.jp
More informationdews2004-final.dvi
DEWS2004 I-10-04 606 8501 E-mail: {akahoshi,hirotanaka,tanaka}@dl.kuis.kyoto-u.ac.jp A Basic Study on Ubiquitous Hypermedia Model Yuhei AKAHOSHI, Hiroya TANAKA, and Katsumi TANAKA Graduate School of Informatics,
More information& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
More informationindd
8 デジタルケーブルテレビ関連技術およびサービス動向 宮地悟史 KDDI( 株 ) ケーブルテレビ概要 1953 2 1955 Community Antenna Television Common Antenna Television CATV CATV CATV BS CATV サービス動向 全体概要 2010 9 図 -1 1 4,451 5,336 83% 4,890 91% 2,371 44%
More informationIPSJ SIG Technical Report iphone iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Proc
iphone 1 1 1 iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Processing Unit)., AR Realtime Natural Feature Tracking Library for iphone Makoto
More information知能と情報, Vol.29, No.6, pp
36 知能と情報知能と情報 ( 日本知能情報ファジィ学会誌 ( ))Vol.29, No.6, pp.226-230(2017) 会告 Zadeh( ザデー ) 先生を偲ぶ会 のご案内 Zadeh( ) とと と 日 2018 1 20 日 ( ) 15:00 17:30(14:30 18:00 ) 2F ( ) 530-8310 1-1-35 TEL: 06-6372-5101 https://www.hankyu-hotel.com/hotel/osakashh/index.html
More informationWLAN WLAN AP WLAN WLAN WLAN AP- WLAN SINR WLAN WLAN CE WLAN WLAN WLAN CE 2 3 WLAN 4 WLAN 2. WLAN [10] AP CE [11] AP CE CE [12] CE AP AP AP WLAN WLAN A
DEIM Forum2015 C2-4 LAN 112 8610 2-1-1 NEC 211 8666 1753 E-mail: mitomo@ogl.is.ocha.ac.jp, {miyoshi,t-murase}@ap.jp.nec.com, oguchi@computer.org LAN AP AP LAN LAN LAN WLAN AP- WLAN 3 LAN LANQoS Quality
More information20mm 63.92% ConstantZoom U 5
29 30 2 13 16350926 20mm 63.92% ConstantZoom U 5 1 3 1.1...................................... 3 1.2................................. 4 2 8 2.1............... 8 2.2............................ 8 2.3..
More information[2][3][4][5] 4 ( 1 ) ( 2 ) ( 3 ) ( 4 ) 2. Shiratori [2] Shiratori [3] [4] GP [5] [6] [7] [8][9] Kinect Choi [10] 3. 1 c 2016 Information Processing So
1,a) 2 2 1 2,b) 3,c) A choreographic authoring system reflecting a user s preference Ryo Kakitsuka 1,a) Kosetsu Tsukuda 2 Satoru Fukayama 2 Naoya Iwamoto 1 Masataka Goto 2,b) Shigeo Morishima 3,c) Abstract:
More information2.2 6).,.,.,. Yang, 7).,,.,,. 2.3 SIFT SIFT (Scale-Invariant Feature Transform) 8).,. SIFT,,. SIFT, Mean-Shift 9)., SIFT,., SIFT,. 3.,.,,,,,.,,,., 1,
1 1 2,,.,.,,, SIFT.,,. Pitching Motion Analysis Using Image Processing Shinya Kasahara, 1 Issei Fujishiro 1 and Yoshio Ohno 2 At present, analysis of pitching motion from baseball videos is timeconsuming
More informationデスクトップ仮想化の理解
Core vpro IT IT PC /OS 1 IT PC PC Core vpro PC .................................... 3 1................................................... 3 2................................. 4.................................................
More informationmain.dvi
B 15 0150023 16 3 1 1 1 6 2 7 2.1.......................... 7 2.1.1................. 7 2.1.2..................... 7 2.2........................ 8 2.2.1...................... 8 2.2.2 INS................................
More informationIPSJ SIG Technical Report Vol.2012-CG-149 No.13 Vol.2012-CVIM-184 No /12/4 3 1,a) ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransa
3,a) 3 3 ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransac. DB [] [2] 3 DB Web Web DB Web NTT NTT Media Intelligence Laboratories, - Hikarinooka Yokosuka-Shi, Kanagawa 239-0847 Japan a) yabushita.hiroko@lab.ntt.co.jp
More informationtotal-all-nt.dvi
XI W I D E P R O J E C T 1 WIDE Reliable Multicast 1.1 TV 1 1 TCP WIDE JGN/JB SOI (DV) Reliable Multicast (RM) US Reliable Multicast IETF RMT-WG PGM Digital Fountain FEC Tornado Code Ruby Code 1.2 WIDE
More informationTHE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE k
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 565 0871 2 1 606 8501 606 8501 651 2103 3 1 E-mail: k-nakamura@comm.eng.osaka-u.ac.jp ARToolKit 1. 1 1 2.
More information情報処理学会研究報告 IPSJ SIG Technical Report Vol.2014-GN-90 No.6 Vol.2014-CDS-9 No.6 Vol.2014-DCC-6 No /1/23 Bullet Time 1,a) 1 Bullet Time Bullet Time
Bullet Time 1,a) 1 Bullet Time Bullet Time Generation Technique and Eveluation on High-Resolution Bullet-Time Camera Work Ryuuki Sakamoto 1,a) Ding Chen 1 Abstract: The multi-camera environment have been
More informationIPSJ SIG Technical Report Vol.2014-GN-90 No.16 Vol.2014-CDS-9 No.16 Vol.2014-DCC-6 No /1/24 1,a) 2,b) 2,c) 1,d) QUMARION QUMARION Kinect Kinect
1,a) 2,b) 2,c) 1,d) QUMARION QUMARION Kinect Kinect Using a Human-Shaped Input Device for Remote Pose Instruction Yuki Tayama 1,a) Yoshiaki Ando 2,b) Misaki Hagino 2,c) Ken-ichi Okada 1,d) Abstract: There
More information3 2 2 (1) (2) (3) (4) 4 4 AdaBoost 2. [11] Onishi&Yoda [8] Iwashita&Stoica [5] 4 [3] 3. 3 (1) (2) (3)
(MIRU2012) 2012 8 820-8502 680-4 E-mail: {d kouno,shimada,endo}@pluto.ai.kyutech.ac.jp (1) (2) (3) (4) 4 AdaBoost 1. Kanade [6] CLAFIC [12] EigenFace [10] 1 1 2 1 [7] 3 2 2 (1) (2) (3) (4) 4 4 AdaBoost
More informationIPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe
1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Speech Visualization System Based on Augmented Reality Yuichiro Nagano 1 and Takashi Yoshino 2 As the spread of the Augmented Reality(AR) technology and service,
More information1 (n = 52, 386) DL (n = 52, 386) DL DL [4] Dynamic Time Warping(DTW ) [5] Altmetrics Gunther [
DEIM Forum 2014 C5-6 191 0065 6 6 191 0065 6 6 432 8011 3 5 1 E-mail: {sugiyama-iori@ed., ishikawa-hiroshi@}tmu.ac.jp, endo-masaki@ed.tmu.ac.jp, yokoyama@inf.shizuoka.ac.jp (bibliometrics) h-index Dynamic
More information04信州大学.indd
1 1 Journal of Multimedia Aided Education Research, 2004, No. 1, 1118 1 1 2 1 2 2 2002 2004 e-learning 2002 1 3 200 2004 2 Web 1 2 1995 e-learning 3 45 1CAI CAI CAI 3 97 119 2 30 58 1 44 0 0 15 8 11 3
More informationDEIM Forum 2009 E
DEIM Forum 2009 E5-3 464-8601 1 606-8501 464 8601 1 E-mail: lifushi@arch.itc.nagoya-u.ac.jp, mayumi@mm.media.kyoto-u.ac.jp, {hirano,kajita,mase}@itc.nagoya-u.ac.jp Abstract Study on a Recipe Recommendation
More informationHASC2012corpus HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus
HASC2012corpus 1 1 1 1 1 1 2 2 3 4 5 6 7 HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus: Human Activity Corpus and Its Application Nobuo KAWAGUCHI,
More informationWikipedia YahooQA MAD 4)5) MAD Web 6) 3. YAMAHA 7) 8) 2 3 4 5 6 2. Vocaloid2 2006 1 PV 2009 1 1100 200 YouTube 1 minato minato ussy 3D MAD F EDis ussy
1, 2 3 1, 2 Web Fischer Social Creativity 1) Social Creativity CG Network Analysis of an Emergent Massively Collaborative Creation Community Masahiro Hamasaki, 1, 2 Hideaki Takeda 3 and Takuichi Nishimura
More informationTitle MMORPG における動的領域分割結合アルゴリズム Author(s) 榎原, 博之, 吉岡, 啓, 松崎, 頼人 Citation 電子情報通信学会論文誌 (A), J98-A(41): Issue Date URL
Title MMORPG における動的領域分割結合アルゴリズム Author(s) 榎原, 博之, 吉岡, 啓, 松崎, 頼人 Citation 電子情報通信学会論文誌 (A), J98-A(41): 337-35 Issue Date 2015-04 URL http://hdl.handle.net/10112/9429 (C) 電子情報通信学会 : このデータは学協会著作権ポリシーデータベースの事項に基づいて作成しておりま
More informationDEIM Forum 2009 B4-6, Str
DEIM Forum 2009 B4-6, 305 8573 1 1 1 152 8550 2 12 1 E-mail: tttakuro@kde.cs.tsukuba.ac.jp, watanabe@de.cs.titech.ac.jp, kitagawa@cs.tsukuba.ac.jp StreamSpinner PC PC StreamSpinner Development of Data
More informationPC Development of Distributed PC Grid System,,,, Junji Umemoto, Hiroyuki Ebara, Katsumi Onishi, Hiroaki Morikawa, and Bunryu U PC WAN PC PC WAN PC 1 P
PC Development of Distributed PC Grid System,,,, Junji Umemoto, Hiroyuki Ebara, Katsumi Onishi, Hiroaki Morikawa, and Bunryu U PC WAN PC PC WAN PC 1 PC PC PC PC PC Key Words:Grid, PC Cluster, Distributed
More information1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf
1,a) 2,b) 4,c) 3,d) 4,e) Web A Review Supporting System for Whiteboard Logging Movies Based on Notes Timeline Taniguchi Yoshihide 1,a) Horiguchi Satoshi 2,b) Inoue Akifumi 4,c) Igaki Hiroshi 3,d) Hoshi
More information28 SAS-X Proposal of Multi Device Authenticable Password Management System using SAS-X 1195074 2017 2 3 SAS-X Web ID/ ID/ Web SAS-2 SAS-X i Abstract Proposal of Multi Device Authenticable Password Management
More information07九州工業大学.indd
1 1 Journal of Multimedia Aided Education Research, 2004, No. 1, 45 58 e-learning e-learning e-learning Video On Demand e-learning e-learning e-learning e-learning 2004 e-learning e-learning OLU SCS 2
More information2003/3 Vol. J86 D II No.3 2.3. 4. 5. 6. 2. 1 1 Fig. 1 An exterior view of eye scanner. CCD [7] 640 480 1 CCD PC USB PC 2 334 PC USB RS-232C PC 3 2.1 2
Curved Document Imaging with Eye Scanner Toshiyuki AMANO, Tsutomu ABE, Osamu NISHIKAWA, Tetsuo IYODA, and Yukio SATO 1. Shape From Shading SFS [1] [2] 3 2 Department of Electrical and Computer Engineering,
More information4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q
x-means 1 2 2 x-means, x-means k-means Bayesian Information Criterion BIC Watershed x-means Moving Object Extraction Using the Number of Clusters Determined by X-means Clustering Naoki Kubo, 1 Kousuke
More information24 21 21115025 i 1 1 2 5 2.1.................................. 6 2.1.1........................... 6 2.1.2........................... 7 2.2...................................... 8 2.3............................
More information00.目次_ope
816XL ii iii iv iv User Entry 1 3 v vi vii viii 1 1 C: >VTTERM 1- 1 1-3 1 1-4 1 1-5 1 1-6 1 1-7 1 1-8 1 1-9 1 1-10 C: >VTN 1 Host Name: 1-11 1 01 1-1 0.0.0.0 1 1-13 1 1-14 - -3 Port status and configuration
More informationディスプレイと携帯端末間の通信を実現する映像媒介通信技術
Data Transfer Technology to Enable Communication between Displays and Smart Devices 倉木健介 中潟昌平 田中竜太 阿南泰三 あらまし Abstract Recently, the chance to see videos in various places has increased due to the speedup
More information075730G: 2008/7/4, /07/ A: J: E:
075730G: 2008/7/4,11 2008/07/18 075711A: 075726J: 075759E: 1 (Mesh) () LAN () LAN LAN ( LAN ) 2 RMR Rokko Mesh Router LAN 3 RMR IP RMR mesh007 https://192.168.71.1 RMR Username:rootPassword:root Network
More information& Vol.2 No (Mar. 2012) 1,a) , Bluetooth A Health Management Service by Cell Phones and Its Us
1,a) 1 1 1 1 2 2 2011 8 10, 2011 12 2 1 Bluetooth 36 2 3 10 70 34 A Health Management Service by Cell Phones and Its Usability Evaluation Naofumi Yoshida 1,a) Daigo Matsubara 1 Naoki Ishibashi 1 Nobuo
More information