IPSJ SIG Technical Report Vol.2014-ICS-175 No /3/14 Modified Stochastic Cell Transmission Model 1,a) 1,b) 1,c) Cell Transmission Model CTM Stoc
|
|
|
- あいと たつざわ
- 4 years ago
- Views:
Transcription
1 Modified Stochastic Cell Transmission Model 1,a) 1,b) 1,c) Cell Transmission Model CTM Stochastic Cell Transmission Model SCTM CTM SCTM Modified Stochastic Cell Transmission Model MSCTM MSCTM CTM 1. Cell Transmission Model CTM Stochastic Cell Transmission Model SCTM CTM SCTM CTM SCTM SCTM 1 Nagoya Instatute of Technology a) tokuda.sho@itolab.nitech.ac.jp b) kanamori.ryo@nitech.ac.jp c) ito.takayuki@nitech.ac.jp Modified Stochastic Cell Transmission Model MSCTMMSCTM SCTM SCTM MSCTM SCTM CTM MSCTM Cell Transmission Model CTM Carlos F.Daganzo 1994 [1][2] CTM CTM 1 LWR LWR 1
![LWR CTM LWR [3] LWR 1 1 LWR CTM 1 1 2.2 Stochastic Cell Transmission Model SCTM A.](/docs-images/100/144554381/images/2-0.jpg "Sumalee 2011 [3][4] SCTM CTM CTM SCTM 2 1 2 2 SCTM 0 1 1 0 SCTM switching-mode [5][6] SCTM SCTM SCTM Zhong [7] SCTM")
2 LWR CTM LWR [3] LWR 1 1 LWR CTM Stochastic Cell Transmission Model SCTM A. Sumalee 2011 [3][4] SCTM CTM CTM SCTM SCTM SCTM switching-mode [5][6] SCTM SCTM SCTM Zhong [7] SCTM Zhong SCTM 1 [3] 3 Zhong [7] 2
3 3. Modified Stochastic Cell Transmission Model 3.1 Zhong [7] SCTM SCTM SCTM MSCTM 3 SCTM 3.2 (1) t = l v (1) (1) t l v & & [8] & (2) v = v f (1 k k j ) (2) (2) v v f k k j 0 0 (1) (2) [9] k (3) k = n l (3) 3
4 FF CC CF FC (4) (5) (6) (7) P F F = P r(ρ u < ρ c,1 ρ d < ρ c,2 ) (4) 4 5 (3) k n l (2) v k j v f (1) MSCTM FF Free flow-free flowcc Congestion- CongestionCF Congestion-Free flow FC1 Free flow-congestion1 FC2 Free flow-congestion2 4 FF CC CF FC FC 2 FC1 FC2 2 P CC = P r(ρ u ρ c,1 ρ d ρ c,2 ) (5) P CF = P r(ρ u ρ c,1 ρ d < ρ c,2 ) (6) P F C = 1 (P F F + P CC + P CF ) (7) ρ u ρ d ρ c,1 ρ c,2 ρ c,1 ρ c,2 FF (ρ u < ρ c,1 ρ d < ρ c,2 ) ρ c,1 ρ c,2 FC1 FC2 FC1 (8) FC2 (9) P F C1 = P F C P r(v f,1 ρ u w c,2 (ρ J,2 ρ d )) (8) P F C2 = P F C P r(v f,1 ρ u > w c,2 (ρ J,2 ρ d )) (9) v f,1 w c,2 ρ J,2 FC1 FC2 v f,1 w c,2 ρ J,2 3.4 MSCTM SCTM S S 2 FF 4
5 CF S v f,1 ρ 1 CC FC S Q 1 v f,1 ρ 1 Q 1 S 4 ( 1 ) FF FC S Q 2 S ( 2 ) FF FC S Q 2 Q 2 ( 3 ) CC CF S w c,2 (ρ J,2 ρ 2 ) S ( 4 ) CC CF S w c,2 (ρ J,2 ρ 2 ) w c,2 (ρ J,2 ρ 2 ) Q 2 w c,2 ρ J,2 ρ 2 4 (10) (11) (12) (13) P 1 = (P F F + P F C )P r(s Q 2 ) (10) P 2 = (P F F + P F C )P r(s > Q 2 ) (11) P 3 = (P CC + P CF )P r(s w c,2 (ρ J,2 ρ 2 )) (12) P 4 = (P CC + P CF )P r(s > w c,2 (ρ J,2 ρ 2 )) (13) P 1 P 2 P 3 P 4 (14) S = P 1 S + P 2 Q 2 + P 3 S + P 4 w c,2 (ρ J,2 ρ 2 ) (14) S SCTM [10] Zhong [7] 4 Zhong MSCTM SCTM MSCTM MSCTM Zhong [7] MSCTM SCTM Zhong MSCTM SCTM Zhong [7] % SCTM MSCTM 5
6 Zhong MSCTM Zhong R 6 Zhong 3 R MSCTM SCTM 4.2 [11] MSCTM CTM MSCTM % 100 MSCTM CTM 2 10 MSCTM CTM MSCTM CTM MSCTM CTM 9 9 MSCTM CTM 45 MSCTM MSCTM CTM 6 7 Zhong [7] 8 6
7 5. 9 MSCTM 3.8 CTM 4.6 MSCTM 10 MSCTM CTM MSCTM CTM MSCTM CTM 10 CTM MSCTM MSCTM CTM MSCTM 19.8 CTM 32.3 MSCTM 10 MSCTM CTM SCTM MSCTM SCTM SCTM MSCTM 10 CTM MSCTM [1] Carlos F. Daganzo: The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory, Transportation Research Part B: Methodological Volume 28, 1994, Pages [2] Carlos F. Daganzo: The cell transmission model, Part II: Network traffic, Transportation Research Part B: Methodological Volume 29, 1995, Pages [3] A. Sumalee, R.X. Zhong, T.L. Pan and W.Y. Szeto: Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment, Transportation Research Part B: Methodological Volume 45, Issue 3, 2011, Pages [4] Agachai Sumalee, Tianlu Pan, Renxin Zhong, Nobuhiro Uno and Nakorn Indra-Payoong: Dynamic stochastic journey time estimation and reliability analysis using stochastic cell transmission model: Algorithm and case studies, Transportation Research Part C: Emerging Technologies Vol. 35, October 2013, P [5] Laura Munoz, Xiaotian Sun, Roberto Horowitz, Luis Alvarez: Trafic Density Estimation with the cell transmission model, Proceedings of the American Control Conference. Denver, Colorado, USA, pp [6] Xiaotian Sun, Laura Munoz and Roberto Horowitz: Highway Traffic State Estimation Using Improved Mixture Kalman Filters for Effective Ramp Metering Control, 42th IEEE Conference on Decision and Control, Vol.6, pp , [7] R. X. Zhong, A. Sumalee, T. L. Pan and W. H.K. Lam: Stochastic cell transmission model for traffic network with demand and supply uncertainties, Transportmetrica A: Transport Science, P , [8], :, (1992). [9] : - -, (1998). [10] S. Fruhwirth-Schnatter: Finite Mixture and Markov Switching Models, Springer [11] :, KichijojiBM/ave-dataset/ave-index.html. 7
p63_67.ec7
研究解説 179 AnalysisofTraficDataColectionSystemsfor ImprovingSensorPlacements TianJIANG *,MarcMISKA **,ShinjiTANAKA *** andmasaokuwahara *** Abstract Inthispaper,weanalyzehighwaydetectionsystem underdiferenttraficscenarios.traficdatacolectiondependsonnot
蜷咲ｧｰ譛ｪ險ｭ螳・3
2011. October vol.606 2 3 2011. October vol.606 4 5 ' 2011. October vol.606 6 7 2011. October vol.606 8 毎 月 18 日 は 9 2011. October vol.606 10 4 4 11 2011. October vol.606 12 39 12 254 13 2011. October
520
1319121211 1419 1910121918 19151712171412 11191712 1011 1119191911 191519181711 1912191714 1019 191214 10101915191911 13141917 121419191014 1912101011 191019191014126 1 19191912101911 19191217 1215161416
No. 3 Oct The person to the left of the stool carried the traffic-cone towards the trash-can. α α β α α β α α β α Track2 Track3 Track1 Track0 1
ACL2013 TACL 1 ACL2013 Grounded Language Learning from Video Described with Sentences (Yu and Siskind 2013) TACL Transactions of the Association for Computational Linguistics What Makes Writing Great?
2016 10 31 1. 1.1 20 1 1993 20 2 2 1 industrial society 2 2 169 2014 3 1.2 4 5 6 3 1.3 4 5 1973 6 170 7 8 9 7 ISO/IEC 9126 11 8 1 9 ABS ABS ABS ABS 171 2. 2.1 1960 10 11 12 13 10 1964 IBM S/360 11 16 FORTRAN
& 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
C79 A11 A12 A13 A19 B11 B12 B13 B14 B15 B19 B21 B22 B23 B24 B25 C11 C12 C19 C21 C31 C32 C33 C34 C35 C36 C37 C39 C41 C51 C52 C53 C54 C55 C61 ( ) C62 C6
C79 A11 A12 A13 A19 B11 B12 B13 B14 B15 B19 B21 B22 B23 B24 B25 C11 C12 C19 C21 C31 C32 C33 C34 C35 C36 C37 C39 C41 C51 C52 C53 C54 C55 C61 ( ) C62 C63 C64 C71 C72 C73 C74 C99 1 A11 A12 A13 A19 B11 B12
149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :
![149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :](/thumbs/92/109497872.jpg "149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :")
Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
15ol
2010. October vol.594 2 3 2010. October vol.594 4 (営業時間:10 時~18 時) (営業時間:11 時~22 時) (営業時間:9時~18 時) (開館時間:9時~21 時30 分) 5 6 2010. October vol.594 ' 4 4 4 7 8 2010. October vol.594 9 11 12 2010. October vol.594
Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey ML 11 NL
HANAOKA, Shinya 1 3 Hansen1, 2 1 2 3 Hansen 2 3 4 5 2 2.1 002 Vol.5 No.4 2003 Winter 3 4 2.2 Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey 10 2.3
IPSJ SIG Technical Report NetMAS NetMAS NetMAS One-dimensional Pedestrian Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yam
1 1 1 1 1 NetMAS NetMAS NetMAS One-dimensional Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yamashita, 1 Masaki Onishi, 1 Ikushi Yoda 1 and Itsuki Noda 1 We propose the one-dimentional
Recent Developments and Perspectives of Statistical Time Series Analysis /ta) : t"i,,t Q) w (^ - p) dp *+*ffi t 1 ] Abraham, B. and Ledolter, J. (1986). Forecast functions implied by autoregressive
(1)2004年度 日本地理
1 2 3 4 1 2 3 4 5 6 7 8 9 10 11 12-5.0-5.1-1.4 4.2 8.6 12.4 16.9 19.5 16.6 10.8 3.3-2.0 6.6 16.6 16.6 18.6 21.3 23.8 26.6 28.5 28.2 27.2 24.9 21.7 18.4 22.7 5 1 2 3 4 5 6 7 8 9 10 11 12 2.2 3.5 7.7 11.1
untitled
IT E- IT http://www.ipa.go.jp/security/ CERT/CC http://www.cert.org/stats/#alerts IPA IPA 2004 52,151 IT 2003 12 Yahoo 451 40 2002 4 18 IT 1/14 2.1 DoS(Denial of Access) IDS(Intrusion Detection System)
Run-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
untitled
JCCS Ver.2.0 JCCS -i- ISO-12006 -ii- JCCS -iii- JCCS -iv- -v- JCCS Ver. 2.0 1 (7) JCCS Ver. 2.0 1 (118) JCCS 2007 6 JCCS Construction information Classification System in Japan JCCS ISO12006 2001 JCCS
Study on Throw Accuracy for Baseball Pitching Machine with Roller (Study of Seam of Ball and Roller) Shinobu SAKAI*5, Juhachi ODA, Kengo KAWATA and Yu
Study on Throw Accuracy for Baseball Pitching Machine with Roller (Study of Seam of Ball and Roller) Shinobu SAKAI*5, Juhachi ODA, Kengo KAWATA and Yuichiro KITAGAWA Department of Human and Mechanical
平塚信用金庫の現況 2015
2015 1 2 3 1 2 3 4 5 6 7 1 2 3 4 5 8 9 @ A B C D E F G H I J K HK L M N O P Q R T R T S T U V W 1 2 3 4 5 6 E F C J I O M N K L H 8 7 G D 0 A 6 9 5
14 2 5
14 2 5 i ii Surface Reconstruction from Point Cloud of Human Body in Arbitrary Postures Isao MORO Abstract We propose a method for surface reconstruction from point cloud of human body in arbitrary postures.
20mm 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..
プラズマ核融合学会誌１１月【８１‐１１】／小特集５
Japan Atomic Energy Agency, Ibaraki 311-0193, Japan 1) Kyoto University, Uji 611-0011, Japan 2) National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8569, Japan 3) Central Research
橡matufw
3 10 25 3 18 42 1 2 6 2001 8 22 3 03 36 3 4 A 2002 2001 1 1 2014 28 26 5 9 1990 2000 2000 12 2000 12 12 12 1999 88 5 2014 60 57 1996 30 25 205 0 4 120 1,5 A 1995 3 1990 30 6 2000 2004 2000 6 7 2001 5 2002
O
11 2 1 2 1 1 2 1 80 2 160 3 4 17 257 1 2 1 2 3 3 1 2 138 1 1 170 O 3 5 1 5 6 139 1 A 5 2.5 A 1 A 1 1 3 20 5 A 81 87 67 A 140 11 12 2 1 1 1 12 22 1 10 1 13 A 2 3 2 6 1 B 2 B B B 1 2 B 100 B 10 B 3 3 B 1
1 t=495minutes 2.8m 25m t=495minutes t=5minutes t=55minutes 25m D A E B F 1.4m 2.8m / 6) ) 12) 13) 14), 7),8) 12) 13) 14) FDS 2) Disch
, 5, 62 NUMERICAL SIMULATIONS OF URBAN FLOODING DUE TO DIKE BREACHING 1 2 Juichiro AKIYAMA and Mirei SHIGE-EDA 1 Ph.D. 84-855 1-1 2 () The flooding process of the Misumi district due to dike breaking of
2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055
1 1 1 2 DCRA 1. 1.1 1) 1 Tactile Interface with Air Jets for Floating Images Aya Higuchi, 1 Nomin, 1 Sandor Markon 1 and Satoshi Maekawa 2 The new optical device DCRA can display floating images in free
人文学部研究年報12号.indb
制御理論を用いた在庫管理モデルの一解析 * リードタイムが変動する場合 西平直史 1 [1, 2, 3, 4] [1] [2, 3, 4] 1 1 3 2 [2] = +w(k) d(k) (1) 2014 12 1 1 制御理論を用いた在庫管理モデルの一解析 西平 k w(k) d(k) L k u(k) (2) (1) 2 w(k) =u(k L) (2) = +u(k L) d(k) (3)
LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,000,000 1,800,000 1,
LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro 1 23 LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,, 1,8, 1,6, 1,4, 1,2, 1,, 8, 6, 4, 2, 1985 1987 199 1993 1996 1998 Barrett
IPSJ SIG Technical Report Vol.2012-MUS-96 No /8/10 MIDI Modeling Performance Indeterminacies for Polyphonic Midi Score Following and
MIDI 1 2 3 2 1 Modeling Performance Indeterminacies for Polyphonic Midi Score Following and Its Application to Automatic Accompaniment Nakamura Eita 1 Yamamoto Ryuichi 2 Saito Yasuyuki 3 Sako Shinji 2
第3章.DOC
000 Ben-Akiva and Lerman, 1985 1996 1996 4 1997 Banister, 1978; Verplanken et al., 1998 1 5 1996 3 () (I n ) 1 18 I n n P n (1) P n ( 1) = exp exp ( Vn 1 ) I n 1 ( V ) + exp µ ln exp ( V ) n1 + i= ni (3.1)
65歳雇用時代の賃金制度のつくり方
1 65 2005 2 65 18 65 2 PART 165 6 7 8 11 14 16 60 17 25 PART 2 28 35 () 10 35 () 35 () 36 () 39 () 39 () 41 () 42 () 42 () 44 (10) 44 (11) 47 1 15 2007 2 35 3 10 10 2.5 2.5 1.5 0.5 2.5 2.5 1.5 0.5 10
CompuSec SW Ver.5.2 アプリケーションガイド（一部抜粋）
64 PART 9 65 66 PART10 67 1 2 3 68 PART 10 4 5 69 1 2 3 4 5 70 PART 10 6 7 8 6 9 71 PART11 72 PART 11 1 2 3 73 4 5 6 74 PART 11 7 8 9 75 PART12 76 PART 12 1 2 3 4 1 2 3 4 77 1 2 3 4 5 6 7 8 78 PART13 79
untitled
c 645 2 1. GM 1959 Lindsey [1] 1960 Howard [2] Howard 1 25 (Markov Decision Process) 3 3 2 3 +1=25 9 Bellman [3] 1 Bellman 1 k 980 8576 27 1 015 0055 84 4 1977 D Esopo and Lefkowitz [4] 1 (SI) Cover and
JAPAN MARKETING JOURNAL 122 Vol.31 No.22011
Japan Marketing Academy JAPAN MARKETING JOURNAL 122 Vol.31 No.22011 JAPAN MARKETING JOURNAL 122 Vol.31 No.22011 JAPAN MARKETING JOURNAL 122 Vol.31 No.22011 JAPAN MARKETING JOURNAL 122 Vol.31 No.22011 JAPAN
23_02.dvi
Vol. 2 No. 2 10 21 (Mar. 2009) 1 1 1 Effect of Overconfidencial Investor to Stock Market Behaviour Ryota Inaishi, 1 Fei Zhai 1 and Eisuke Kita 1 Recently, the behavioral finance theory has been interested
Contents P02 P03 P04 P06 P07 P08 P10 P12 P14 P16 P18 KYOSAN New Vision-100 KYOSAN Code of conduct Action agenda 02
KYOSAN ENVIRONMENTAL REPORT 2016 2016 Kyosan Electric Mfg. Co., Ltd. Contents P02 P03 P04 P06 P07 P08 P10 P12 P14 P16 P18 KYOSAN New Vision-100 KYOSAN Code of conduct Action agenda 02 ENVIRONMENTAL REPORT
ア 接続 管理 ーバ ー GPS インター ッ S C バス位置情報 バス ー ータ ー バス運行情報 & ニ ース 1 S バス停 ー C コンセン ータ CATV/FTTH GPS Web 2.2 Linux GPS Linux GPS c 2015 Infor
IoT 1 1 1 IoT M2M IoT Wi-SUN 920MHz 6LoWPAN MQTT IoT MQTT 1. [1] [2 5] IoTInternet of Things M2MMachine-to-Machine 1 Graduate School of Science and Technology, Meijo University [6] HEMSHome Energy Management
ほんぶん－第14章.indd
- - - http://j.people.com.cn/ ///.html - http://www.sasac.gov.cn/n /n /n / index.html .... ...................................................................... -,,,,.. ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
７章 構造物の応答値の算定
(1) 2 (2) 5.4 5.8.4 2 5.2 (3) 1.8 1) 36 2) PS 3) N N PS 37 10 20m N G hg h PS N (1) G h G/G 0 h 3 1) G 0 PS PS 38 N V s G 0 40% Gh 1 S 0.11% G/G 0 h G/G 0 h H-D 2),3) R-O 4) 5),6),7) τ G 0 γ = 0 r 1 (
Preliminary Version Manning et al. (1986) Rand Health Insurance Experiment Manning et al. (1986) 3 Medicare Me
Preliminary Version. 600 * 14530029 12-1- Preliminary Version. 1 70 1 1997 9 1020 70 1 3 2 70 1 Manning et al. (1986) Rand Health Insurance Experiment 25 50 Manning et al. (1986) 3 Medicare Medicare Medicare
Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).
Fig. 1 The scheme of glottal area as a function of time Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels). Fig, 4 Parametric representation
研究成果報告書
Simulation Study of Interaction between Alfvén Eigenmodes and Energetic Particles (TAE ) TAE TAE MHD ITER We studied the interaction between Alfvén eigenmodes and energetic particles in fusion plasmas
KII, Masanobu Vol.7 No Spring
KII, Masanobu 1 2 3 4 5 2 2.1 1945 60196075 19759019904 002 Vol.7 No.1 2004 Spring 1194560 1 1946 2 195328 3 4 1958 1960 2196075 5 6 7 8 1946 2 1972 1/23/4 1974 1968481973 1969 3197590 9 1980 1987 41990
¥ì¥·¥Ô¤Î¸À¸ì½èÍý¤Î¸½¾õ
2013 8 18 Table of Contents = + 1. 2. 3. 4. 5. etc. 1. ( + + ( )) 2. :,,,,,, (MUC 1 ) 3. 4. (subj: person, i-obj: org. ) 1 Message Understanding Conference ( ) UGC 2 ( ) : : 2 User-Generated Content [
2014 2
2014 2 Web Web 1 1 1 1.1................................... 1 1.2.................................... 1 1.3.............................. 1 1.4.................................... 2 1.5...................................
IPSJ SIG Technical Report * Wi-Fi Survey of the Internet connectivity using geolocation of smartphones Yoshiaki Kitaguchi * Kenichi Nagami and Yutaka
* Wi-Fi Survey of the Internet connectivity using geolocation of smartphones Yoshiaki Kitaguchi * Kenichi Nagami and Yutaka Kikuchi With the rapid growth in demand of smartphone use, the development of
181 第 54 回土木計画学研究発表会 講演集 GPS S-502W S-502W
181 GPS 1 2 3 4 1 98-845 468-1 S-52W E-mail: h-ymgc@plan.civil.tohoku.ac.jp 2 98-845 468-1 S-52W E-mail: mokmr@m.tohoku.ac.jp 3 18-626 2 15-3 C 6F E-mail: h kaneda@zenrin-datacom.net 4 18-626 2 15-3 C
(1970) 17) V. Kucera: A Contribution to Matrix Ouadratic Equations, IEEE Trans. on Automatic Control, AC- 17-3, 344/347 (1972) 18) V. Kucera: On Nonnegative Definite Solutions to Matrix Ouadratic Equations,
Study of the "Vortex of Naruto" through multilevel remote sensing. Abstract Hydrodynamic characteristics of the "Vortex of Naruto" were investigated b
Study of the "Vortex of Naruto" through multilevel remote sensing. Abstract Hydrodynamic characteristics of the "Vortex of Naruto" were investigated based on the remotely sensed data. Small scale vortices
16
Empirical Analysis of the Efficiency of the Broadcasting Industry: Verification of Regionalism and a Proposal ABSTRACT Reforms in the broadcasting industry have recently been discussed and proposed, and
IHI Robust Path Planning against Position Error for UGVs in Rough Terrain Yuki DOI, Yonghoon JI, Yusuke TAMURA(University of Tokyo), Yuki IKEDA, Atsus
IHI Robust Path Planning against Position Error for UGVs in Rough Terrain Yuki DOI, Yonghoon JI, Yusuke TAMURA(University of Tokyo), Yuki IKEDA, Atsushi UMEMURA, Yoshiharu KANESHIMA, Hiroki MURAKAMI(IHI
21 Pitman-Yor Pitman- Yor [7] n -gram W w n-gram G Pitman-Yor P Y (d, θ, G 0 ) (1) G P Y (d, θ, G 0 ) (1) Pitman-Yor d, θ, G 0 d 0 d 1 θ Pitman-Yor G
![21 Pitman-Yor Pitman- Yor [7] n -gram W w n-gram G Pitman-Yor P Y (d, θ, G 0 ) (1) G P Y (d, θ, G 0 ) (1) Pitman-Yor d, θ, G 0 d 0 d 1 θ Pitman-Yor G](/thumbs/89/99361107.jpg "21 Pitman-Yor Pitman- Yor [7] n -gram W w n-gram G Pitman-Yor P Y (d, θ, G 0 ) (1) G P Y (d, θ, G 0 ) (1) Pitman-Yor d, θ, G 0 d 0 d 1 θ Pitman-Yor G")
ol2013-nl-214 No6 1,a) 2,b) n-gram 1 M [1] (TG: Tree ubstitution Grammar) [2], [3] TG TG 1 2 a) ohno@ilabdoshishaacjp b) khatano@maildoshishaacjp [4], [5] [6] 2 Pitman-Yor 3 Pitman-Yor 1 21 Pitman-Yor
カルマンフィルターによるベータ推定（ ）
β TOPIX 1 22 β β smoothness priors (the Capital Asset Pricing Model, CAPM) CAPM 1 β β β β smoothness priors :,,. E-mail: koiti@ism.ac.jp., 104 1 TOPIX β Z i = β i Z m + α i (1) Z i Z m α i α i β i (the
penalty cost. back log KM hq + cm + Q 2 2KM Q = h economic order quantity, EOQ Wilson 2
logistics 1 penalty cost. back log KM hq + cm + Q 2 2KM Q = h economic order quantity, EOQ Wilson 2 Wilson lot size lot-size formula Kotler[15], p602 Scarf [15] / s,s Veinott [18] 3 + + x d(x) f(x) x h
サービス付き高齢者向け住宅賠償責任保険.indd
1 2 1 CASE 1 1 2 CASE 2 CASE 3 CASE 4 3 CASE 5 4 3 4 5 6 2 CASE 1 CASE 2 CASE 3 7 8 3 9 10 CASE 1 CASE 2 CASE 3 CASE 4 11 12 13 14 1 1 2 FAX:03-3375-8470 2 3 3 4 4 3 15 16 FAX:03-3375-8470 1 2 0570-022808
main.dvi
FDTD S A Study on FDTD Analysis based on S-Parameter 18 2 7 04GD168 FDTD FDTD S S FDTD S S S S FDTD FDTD i 1 1 1.1 FDTD.................................... 1 1.2 FDTD..................... 3 2 S 5 2.1 FDTD
Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Step
Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Stepwise Chow Test a Stepwise Chow Test Takeuchi 1991Nomura
研究シリーズ第40号
165 PEN WPI CPI WAGE IIP Feige and Pearce 166 167 168 169 Vector Autoregression n (z) z z p p p zt = φ1zt 1 + φ2zt 2 + + φ pzt p + t Cov( 0 ε t, ε t j )= Σ for for j 0 j = 0 Cov( ε t, zt j ) = 0 j = >
73 p.1 22 16 2004p.152
1987 p.80 72 73 p.1 22 16 2004p.152 281895 1930 1931 12 28 1930 10 27 12 134 74 75 10 27 47.6 1910 1925 10 10 76 10 11 12 139 p.287 p.10 11 pp.3-4 1917 p.284 77 78 10 13 10 p.6 1936 79 15 15 30 80 pp.499-501
