> σ, σ j, j σ j, σ j j σ σ j σ j (t) = σ (t ) σ j (t) = σ () j(t ) n j σ, σ j R lm σ = σ j, j V (8) t σ R σ d R lm σ = σ d V (9) t Fg.. Communcaton ln

Size: px
Start display at page:

Download "> σ, σ j, j σ j, σ j j σ σ j σ j (t) = σ (t ) σ j (t) = σ () j(t ) n j σ, σ j R lm σ = σ j, j V (8) t σ R σ d R lm σ = σ d V (9) t Fg.. Communcaton ln"

Transcription

1 IIC-- Dstrbuted Cooperatve Atttude Control for Multple Rgd Bodes wth Communcaton Delay Yoshhro achbana, oru Namerkawa (Keo Unversty) Abstract hs paper descrbes dstrbuted cooperatve atttude consensus and synchronzaton for multple rgd bodes wth communcaton delay. Mult-agent system s composed of multple autonomous agents and they exchanges nformaton for each other. If there are tme delays n the communcaton lnes, the system may become unstable and may not acheve the control objectve. he atttudes are represented by modfed Rodrguez parameters. Frst, we show the proposed control law guarantees consensus among agents. Second, t can be shown that atttude synchronzaton to reference atttude can be guaranteed va the proposed consensus control law. Fnally, smulaton results show effectveness of the two proposed control laws. (mult-agent system, communcaton delay, rgd body, atttude synchronzaton ). (MAS) MAS () () () () () () MAS MAS (7) (8) (9) () () () () () (9) (MRP) (). v = v v v R v v v = v v () v v w = w w w R v w = v w a, b R a b a =, a a = (MRP) MRP σ R λ R θ R σ = λ tan θ () () () σ = F(σ )ω J ω = ω J ω + τ F(σ ) = σ σ I + σ + σ σ () ω R J R τ R /

2 > σ, σ j, j σ j, σ j j σ σ j σ j (t) = σ (t ) σ j (t) = σ () j(t ) n j σ, σ j R lm σ = σ j, j V (8) t σ R σ d R lm σ = σ d V (9) t Fg.. Communcaton lne n v V = {v, v,, v n } E V V (v j,v ) v j v N = {v j V : (v j, v ) E} v v j v v j v v j A D L A = a j (v j N ) a j = () (v j N ) D v d = N D = dag(d, d,, d n ) () MAS L L = D A (7) () L n = n = R n () L. () () τ (t) = F k j (σ (t)) a j (σ (t) σ j (t )) + κ σ (t) d () j= κ R > R > A = a j k j d a j = a j, k j = k j κ > k j () n () () MAS Proof. σ (t) σ (t ) σ (t ) = σ (t) σ j (t) σ (t + µ)dµ () σ j (t) = σ (t) σ j (t) () () τ (t) = F (σ (t)) k j a j (σ j (t) + d j= σ j (t + µ)dµ) + κ σ (t) () (t) V = κ + d ω J ω + κ = = j= k ja j = j= µ k j a j σ jσ j σ (t + s) σ (t + s)dsdµ() /

3 V ω, σ j, σ c > {(ω, σ j, σ ) V c } ω, σ j, σ V t V = κ d ω J ω + κ k j a j σ jσ j = + = j= = κ d ω + = + = = = j= k ja j ( σ σ σ (t + µ) σ (t + µ) ) dµ ( F (σ ) j= k j d a j (σ j σ j (t + µ)dµ) + κ σ ) + κ k ja j j= k ja j j= = κ d σ σ + κ = = = = κ κ = = k j a j σ j= k ja j j= σ σ dµ = k j a j σ σ j j= σ (t + µ) σ (t + µ)dµ = j= a j σ σ + j= k j a j σ j= k ja j σ σ σ j (t + µ)dµ σ (t + µ) σ (t + µ)dµ = k ja j σ σ j= σ j (t + µ)dµ k ja j σ (t + µ) σ (t + µ)dµ = j= = a j (κ k j ) σ σ = j= ( κ a j = j= σ σ + κk j σ σ j (t + µ) ) +k j σ j (t + µ) σ j (t + µ) dµ = a j (κ k j ) σ σ = j= ( ) κ a j σ + k j σ j (t + µ) = j= ( ) κ σ + k j σ j (t + µ) dµ () κ > k j > V V σ σ = F(σ )ω ω () τ σ, τ σ, τ () τ = F (σ) ( L I )σ + ( A I ) σ(t + µ)dµ + κ σ () F (σ) = dagf (σ ),, F n (σ n ) A = k j d a j L A σ σ τ τ () F (σ) ( L I )σ + ( A I ) σ(t + µ)dµ (7) ( A I ) t σ(µ)dµ σ(t) t t = µ σ(µ) ( A I ) t σ(µ)dµ (7) t ( L I )σ (8) σ = σ = = σ n t σ (t) σ j (t), ω (t) () τ (t) = F k j (σ (t)) a j (σ (t) σ j (t )) d j= +k (n+) a (n+) (σ (t) σ d ) + κ σ (t) (9) σ d a (n+) k (n+) κ > k j σ d (9) n () () MAS Proof. (), () (9) τ (t) = F k j (σ (t)) a j (σ j (t) d j= + σ j (t + µ)dµ) + k (n+) a (n+) (σ (t) σ d ) + κ σ (t) () (t) V = κ d ω J ω + κ k j a j σ jσ j = = j= + κ d k (n+) a (n+) (σ σ d ) (σ σ d ) + = = j= k ja j µ σ (t + s) σ (t + s)dsdµ() V ω, σ j, σ σ d, σ c > {(ω, σ j, σ σ d, σ ) V c } ω, σ j, σ σ d, σ V t V = κ d ω J ω + κ k j a j σ jσ j = = j= +κ d k (n+) a (n+) σ (σ σ d ) = /

4 + k ja j ( σ σ σ (t + µ) σ (t + µ) ) dµ = j= = a j (κ k j ) σ σ = j= ( ) κ a j σ + k j σ j (t + µ) = j= ( ) κ σ + k j σ j (t + µ) dµ () κ > k j > V V σ σ = F(σ )ω ω () τ σ, τ σ, τ () τ = F (σ) (M I )(σ n σ d ) +( A I ) σ(t + µ)dµ + κ σ () κ > k j =. (), κ =.,. able. Rgd body specfcatons J kgm.9..;...;...9 J kgm...;...;... J kgm..7.;.7..;... J kgm.9..;...7;..7. J kgm...;...;... J kgm...;..9.;...7 M = L + dagk (n+) a (n+),, k n(n+) a n(n+) σ σ τ τ () F (σ) (M I )(σ n σ d ) +( A I ) σ(t + µ)dµ () ( A I ) t σ(µ)dµ σ(t) t t = µ σ(µ) ( A I ) t σ(µ)dµ () t Fg.. Communcaton topology (M I )(σ n σ d ) () M z R z = z,, z n z ( L I )z = z = z j σ d k (n+) a (n+) > z (M I )z = z ( L I )z + n = k (n+) a (n+) z z z (M I )z = z = M M I σ n σ d t σ (t) σ d, ω (t) Fg.. Intal atttudes of rgd bodes. n = a 7 = a 7 = ( ) σ d k j = k 7 = σ d =... =.s κ 8, κ =., 7 κ =. 8 σ ( j) ω ( j) ( j) σ ω j,, 7 κ /

5 8 9 # σ d κ, 9, κ σ d =... σ (). σ ().. σ ()... σ () σ () σ () (κ =.) Fg.. Atttude (κ =.) ω () (κ =.) Fg.. Atttude (κ =.).. ω (). ω ()... 7 (κ =.) Fg. 7. Angular velocty (κ =.) ω () ω () ω ().... (κ =.) Fg.. Angular velocty (κ =.) Fg Fnal atttudes of rgd bodes. /

6 σ ().. σ ().. σ () ω (). 9 (κ =.) Fg. 9. Atttude (κ =.). ω () ω ().... (κ =.) Fg.. Angular velocty (κ =.) Fg.. Fnal atttudes of rgd bodes. Namerkawa: Consensus Problem for Mult-agent Systems and Cooperatve Catpurng Behavor, Systems, Control and Infomaton, Vol., No., pp. -8 (9) :, //, Vol., No., pp. -8 (9) C. Yoshoka and. Namerkawa: Consensus Problem for Mult-agent System and Its Applcaton to Formaton Control, ransactons of the Socety of Instrument and Control Engneers, Vol., No.8, pp. -9 (8) :,, Vol., No.8, pp. -9 (8) J.. Y. Wen and K. Kreutz-Delgado: he atttude control problem, IEEE ransactons on Automatc Control, vol., no., pp. 8- (99) W. Ren: Dstrbuted atttude algnment n spacecraft formaton flyng, Internatonal Journal of Adaptve Control and Sgnal Processng, vol., no. -, pp. 9- (7) J.-J. E. Slotne and M. D. D. Benedetto: Hamltonan adaptve control of spacecraft, IEEE ransactons on Automatc Control, vol., no. 7, pp (99) W. Ren: Dstrbuted Cooperatve Atttude Synchronzaton and rackng for Multple Rgd Bodes, IEEE ransactons on Control Systems echnology, vol. 8, no., pp. 8-9 () 7 K. Peng and Y. Yang: Leader-followng consensus problem wth a varyng-velocty leader and tme-varyng delays, Physca A: Statstcal Mechancs and ts Applcatons, Vol. 88, pp. 9-8 (9) 8 J. Hu and Y. Hong: Leader-followng coordnaton of multagent systems wth couplng delays, Physca A: Statstcal Mechancs and ts Applcatons, Vol. 7, pp. 8-8 (7) 9 U. Munz, A. Papachrstodoulou and F. Allgöwer: Delay- Dependent Rendezvous and Flockng of Large Scale Mult- Agent Systems wth Communcaton Delays, Proceedngs of the 7th IEEE Conference on Decson and Control, pp. 8- (8) H. Wang and Y. Xe: On Atttude Synchronzaton of Multple Rgd Bodes wth me Delays Preprnts of the 8th IFAC World Congress, pp () Z. Meng, Z. You, G. L, and C. Fan: Cooperatve Atttude Control of Multple Rgd Bodes wth Multple me-varyng Delays and Dynamcally Changng opologes, Hndaw Publshng Corporaton, Mathematcal Problems n Engneerng, vol., do:.//9 () Y. Igarash,. Hatanaka, M. Fujta and M. W. Spong: Passvty-Based Atttude Synchronzaton n S E(), IEEE ransactons on Control Systems echnology, vol. 7, no., pp.9- (9) /

10_4.dvi

10_4.dvi Vol.44, No.1, 1/7 28 Synchronzed Control for Blateral Teleoperaton wth Dfferent Confguratons and Communcaton Delays Hsanosuke Kawada,KoueYoshda and Toru Namerkawa Ths paper addresses the problem of the

More information

IPSJ SIG Techncal Report 2. RangeBased RangeFree. 2.1 Rangebased RangeBased TDOA(Tme Dfference Of Arrval) TOA(Tme Of Arrval) TDOA TDOA Actve Bat 2) Cr

IPSJ SIG Techncal Report 2. RangeBased RangeFree. 2.1 Rangebased RangeBased TDOA(Tme Dfference Of Arrval) TOA(Tme Of Arrval) TDOA TDOA Actve Bat 2) Cr IPSJ SIG Techncal Report 1 2 2 (SOM, Self Organzng Maps) 7). Self-Organzng Localzaton for Wreless Sensor Networks on Ansotropc Topology Yuto Takashma, 1 Naotosh Adach 2 and Yasuhsa Takzawa 2 On wreless

More information

main.dvi

main.dvi THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. ( ) Estmaton and Analyss of Topc Models n Tme Seres Japanese / Chnese News and Blogs Shuo HU,LyZHENG, Yusuke

More information

橡jttc2.PDF

橡jttc2.PDF 1 ( ) 1 GA GA GA MOGA (Multple-Objectve Genetc Algorthm) GA GA GA MOGA GA GA MOGA GA GA 3.1MOGA ( ) x x j f = f, f, 1 2 L, f q x x j x j f ( x ) f ( x ) f ( x ) f ( x ) L f ( x ) f ( x ) ( ) ( ) 1 1 j

More information

22 2016 3 82 1 1

22 2016 3 82 1 1 : 81 1 2 3 4 1990 2015 22 2016 3 82 1 1 83 : 2 5 84 22 2016 3 6 3 7 8 2 : 85 1 S 12 S S S S S S S S S 86 22 2016 3 S S S S S S S S 2 S S : 87 S 9 3 2 1 10 S 11 22 2016 3 88 1 : 89 1 2 3 4 90 22 2016 3

More information

人文学部研究年報12号.indb

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)

More information

繰り返しゲームの新展開:

繰り返しゲームの新展開: CIRJE-J-65 001 10 001 10 5 New Progress n Repeated Games: Implct Colluson wth Prvate Montorng Htosh Matsushma Faculty of Economcs, Unversty of Tokyo October 5, 001 Abstract The present paper provdes a

More information

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2 CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for

More information

1 2 2005 1983 1 ()1984 2 1947 1950 19791996 1

1 2 2005 1983 1 ()1984 2 1947 1950 19791996 1 KEO Discussion Paper No.104 19451947 * ** 2006 11 19451947 * ** 1 2 2005 1983 1 ()1984 2 1947 1950 19791996 1 4 A A A A A 3 3 1990 19952003A2003B 4 2 198719941997 1995 1995 3 5 6 1998: 30 40 19701992 7

More information

IPSJ SIG Technical Report Vol.2010-CVIM-170 No /1/ Visual Recognition of Wire Harnesses for Automated Wiring Masaki Yoneda, 1 Ta

IPSJ SIG Technical Report Vol.2010-CVIM-170 No /1/ Visual Recognition of Wire Harnesses for Automated Wiring Masaki Yoneda, 1 Ta 1 1 1 1 2 1. Visual Recognition of Wire Harnesses for Automated Wiring Masaki Yoneda, 1 Takayuki Okatani 1 and Koichiro Deguchi 1 This paper presents a method for recognizing the pose of a wire harness

More information

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. E-mail: {ytamura,takai,tkato,tm}@vision.kuee.kyoto-u.ac.jp Abstract Current Wave Pattern Analysis for Anomaly

More information

16_.....E...._.I.v2006

16_.....E...._.I.v2006 55 1 18 Bull. Nara Univ. Educ., Vol. 55, No.1 (Cult. & Soc.), 2006 165 2002 * 18 Collaboration Between a School Athletic Club and a Community Sports Club A Case Study of SOLESTRELLA NARA 2002 Rie TAKAMURA

More information

LLG-R8.Nisus.pdf

LLG-R8.Nisus.pdf d M d t = γ M H + α M d M d t M γ [ 1/ ( Oe sec) ] α γ γ = gµ B h g g µ B h / π γ g = γ = 1.76 10 [ 7 1/ ( Oe sec) ] α α = λ γ λ λ λ α γ α α H α = γ H ω ω H α α H K K H K / M 1 1 > 0 α 1 M > 0 γ α γ =

More information

IIC Proposal of Range Extension Control System by Drive and Regeneration Distribution Based on Efficiency Characteristic of Motors for Electric

IIC Proposal of Range Extension Control System by Drive and Regeneration Distribution Based on Efficiency Characteristic of Motors for Electric IIC-1-19 Proposal of Range Extension Control System by Drive and Regeneration Distribution Based on Efficiency Characteristic of Motors for Electric Vehicle Toru Suzuki, Hiroshi Fujimoto (Yokohama National

More information

SICE東北支部研究集会資料(2012年)

SICE東北支部研究集会資料(2012年) 77 (..3) 77- A study on disturbance compensation control of a wheeled inverted pendulum robot during arm manipulation using Extended State Observer Luis Canete Takuma Sato, Kenta Nagano,Luis Canete,Takayuki

More information

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.

More information

7) FOE (Maxmum A Posteror : MAP) MAP 2. ( ) F (1) 2) p(f ; θ) = 1 Z all clques = 1 Z exp [ φ(f ; θ) all clques λ(f ; θ) ] (1) F f φ( ) λ( ) θ Z

7) FOE (Maxmum A Posteror : MAP) MAP 2. ( ) F (1) 2) p(f ; θ) = 1 Z all clques = 1 Z exp [ φ(f ; θ) all clques λ(f ; θ) ] (1) F f φ( ) λ( ) θ Z 1 2 2 (MRF) Natural Image pror model usng adaptve mult-varate Gaussan dstrbuton Ketaro Yamauch, 1 Masayuk Tanaka 2 and Masatosh Okutom 2 Many pror models are proposed whch model a dgtal mage by a Markov

More information

24 2 22 2 3 2....................................... 3 2.2........................................... 4 3 5 3................................ 5 3.2 FrstBest....................................... 9 3.3

More information

28 Horizontal angle correction using straight line detection in an equirectangular image

28 Horizontal angle correction using straight line detection in an equirectangular image 28 Horizontal angle correction using straight line detection in an equirectangular image 1170283 2017 3 1 2 i Abstract Horizontal angle correction using straight line detection in an equirectangular image

More information

The 18th Game Programming Workshop ,a) 1,b) 1,c) 2,d) 1,e) 1,f) Adapting One-Player Mahjong Players to Four-Player Mahjong

The 18th Game Programming Workshop ,a) 1,b) 1,c) 2,d) 1,e) 1,f) Adapting One-Player Mahjong Players to Four-Player Mahjong 1 4 1,a) 1,b) 1,c) 2,d) 1,e) 1,f) 4 1 1 4 1 4 4 1 4 Adapting One-Player Mahjong Players to Four-Player Mahjong by Recognizing Folding Situations Naoki Mizukami 1,a) Ryotaro Nakahari 1,b) Akira Ura 1,c)

More information

鉄鋼協会プレゼン

鉄鋼協会プレゼン NN :~:, 8 Nov., Adaptive H Control for Linear Slider with Friction Compensation positioning mechanism moving table stand manipulator Point to Point Control [G] Continuous Path Control ground Fig. Positoining

More information

通勤混雑と家賃関数*

通勤混雑と家賃関数* CIRJE-J-30 CIRJE 000 8 5 9 3 Estmaton of Fatgue Cost of Commutng Congeston and Optmal Congeston Fare Ths paper has three ams. Frst, we estmate a hedonc housng rent functon along the Chuo Lne n Tokyo wth

More information

, (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,, i

, (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,, i 25 Estimation scheme of indoor positioning using difference of times which chirp signals arrive 114348 214 3 6 , (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,,

More information

1 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 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 information

3 1, 1, 1, 1 3D Environment Measurement Using Binocular Stereo and Motion Stereo by Mobile Robot with Omnidirectional Stereo Camera Shinichi GOTO 1, R

3 1, 1, 1, 1 3D Environment Measurement Using Binocular Stereo and Motion Stereo by Mobile Robot with Omnidirectional Stereo Camera Shinichi GOTO 1, R 3 1, 1, 1, 1 3D Envronment Measurement Usng Bnocular Stereo and Moton Stereo by Moble Robot wth Omndrectonal Stereo Camera Shnch GOTO 1, Ryosuke KAWANISHI 1, Atsush YAMASHITA 1 and Toru KANEKO 1 1 Department

More information

25 II :30 16:00 (1),. Do not open this problem booklet until the start of the examination is announced. (2) 3.. Answer the following 3 proble

25 II :30 16:00 (1),. Do not open this problem booklet until the start of the examination is announced. (2) 3.. Answer the following 3 proble 25 II 25 2 6 13:30 16:00 (1),. Do not open this problem boolet until the start of the examination is announced. (2) 3.. Answer the following 3 problems. Use the designated answer sheet for each problem.

More information

IPSJ SIG Technical Report Vol.2013-MUS-100 No /9/1 1,a) [1 9] 1 3 MIDI MIDI (Interonset interval) 1 NTT NTT Communication Science Labo

IPSJ SIG Technical Report Vol.2013-MUS-100 No /9/1 1,a) [1 9] 1 3 MIDI MIDI (Interonset interval) 1 NTT NTT Communication Science Labo 1,a) 1 1 1. [1 9] 1 3 MIDI MIDI (Interonset nterval) 1 N N Communcaton Scence Laboratores, Atsug, Kanagawa 43 0198, Japan he Insttute of Statstcal Mathematcs, achkawa, okyo 190 856 a) ohsh.yasunor@lab.ntt.co.jp

More information

〈論文〉組織改革の成果に関する予備的調査--社内カンパニー制導入が財務的業績に与える影響

〈論文〉組織改革の成果に関する予備的調査--社内カンパニー制導入が財務的業績に与える影響 Abstract Under the pressure of 10-year long economic decline, Japanese firms are struggling to improve their profitability. As one of the ways to do it, Japanese large firms have begun to reorganize their

More information

4. 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

4. 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 information

untitled

untitled The Joint Class between Japanese Learners and Japanese Students What we can see from the Comments Akemi YASUI Abstract The purpose of this paper is to report the results of the joint class between 20 intermediate-advanced

More information

平成○○年度知能システム科学専攻修士論文

平成○○年度知能システム科学専攻修士論文 A Realization of Robust Agents in an Agent-based Virtual Market Makio Yamashige 3 7 A Realization of Robust Agents in an Agent-based Virtual Market Makio Yamashige Abstract There are many people who try

More information

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 : 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]

More information

22 Google Trends Estimation of Stock Dealing Timing using Google Trends

22 Google Trends Estimation of Stock Dealing Timing using Google Trends 22 Google Trends Estimation of Stock Dealing Timing using Google Trends 1135064 3 1 Google Trends Google Trends Google Google Google Trends Google Trends 2006 Google Google Trend i Abstract Estimation

More information

Consideration of Cycle in Efficiency of Minority Game T. Harada and T. Murata (Kansai University) Abstract In this study, we observe cycle in efficien

Consideration of Cycle in Efficiency of Minority Game T. Harada and T. Murata (Kansai University) Abstract In this study, we observe cycle in efficien Consideration of Cycle in Efficiency of Minority Game T. Harada and T. Murata (Kansai University) Abstract In this study, we observe cycle in efficiency of Minority Game. The Minority Game is a game when

More information

Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]

Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4] 1,a) 2,3,b) Q ϵ- 3 4 Q greedy 3 ϵ- 4 ϵ- Comparation of Methods for Choosing Actions in Werewolf Game Agents Tianhe Wang 1,a) Tomoyuki Kaneko 2,3,b) Abstract: Werewolf, also known as Mafia, is a kind of

More information

TCP/IP IEEE Bluetooth LAN TCP TCP BEC FEC M T M R M T 2. 2 [5] AODV [4]DSR [3] 1 MS 100m 5 /100m 2 MD 2 c 2009 Information Processing Society of

TCP/IP IEEE Bluetooth LAN TCP TCP BEC FEC M T M R M T 2. 2 [5] AODV [4]DSR [3] 1 MS 100m 5 /100m 2 MD 2 c 2009 Information Processing Society of IEEE802.11 [1]Bluetooth [2] 1 1 (1) [6] Ack (Ack) BEC FEC (BEC) BEC FEC 100 20 BEC FEC 6.19% 14.1% High Throughput and Highly Reliable Transmission in MANET Masaaki Kosugi 1 and Hiroaki Higaki 1 1. LAN

More information

Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Social Networking

Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Social Networking 23 An attribute expression of the virtual window system communicators 1120265 2012 3 1 Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual

More information

ron.dvi

ron.dvi 12 Effect of occlusion and perception of shadow in depth perception caused by moving shadow. 1010361 2001 2 5 (Occlusion), i Abstract Effect of occlusion and perception of shadow in depth perception caused

More information

P2P P2P peer peer P2P peer P2P peer P2P i

P2P P2P peer peer P2P peer P2P peer P2P i 26 P2P Proposed a system for the purpose of idle resource utilization of the computer using the P2P 1150373 2015 2 27 P2P P2P peer peer P2P peer P2P peer P2P i Abstract Proposed a system for the purpose

More information

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst 情報処理学会インタラクション 2015 IPSJ Interaction 2015 15INT014 2015/3/7 1,a) 1,b) 1,c) Design and Implementation of a Piano Learning Support System Considering Motivation Fukuya Yuto 1,a) Takegawa Yoshinari 1,b) Yanagi

More information

proc_miru2005_3.dvi

proc_miru2005_3.dvi (MIRU2005) 2005 7 2 2D-3D 812 8581 6 10 1 815 8540 4 9 1 565 0871 2 2 812 8582 3 1 1 E-mal: yum@rvs.s.kyushu-u.ac.jp 2 2 3 1 3 2 2 Fast Marchng Method 2 3 Fast Marchng Method M 2D-3D Regstraton usng 2D

More information

Kyushu Communication Studies 第2号

Kyushu Communication Studies 第2号 Kyushu Communication Studies. 2004. 2:1-11 2004 How College Students Use and Perceive Pictographs in Cell Phone E-mail Messages IGARASHI Noriko (Niigata University of Health and Welfare) ITOI Emi (Bunkyo

More information

22 1,936, ,115, , , , , , ,

22 1,936, ,115, , , , , , , 21 * 2 3 1 1991 1945 200 60 1944 No. 41 2016 22 1,936,843 1945 1,115,594 1946 647,006 1947 598,507 1 60 2014 501,230 354,503 5 2009 405,571 5 1 2 2009 2014 5 37,285 1 2 1965 10 1975 66 1985 43 10 3 1990

More information

00.\...ec5

00.\...ec5 Yamagata Journal of Health Science, Vol. 6, 23 Kyoko SUGAWARA, Junko GOTO, Mutuko WATARAI Asako HIRATUKA, Reiko ICHIKAWA Recently in Japan, there has been a gradual decrease in the practice of community

More information

Vol.2.indb

Vol.2.indb 120 Migration Policy Review 2010 Vol.2 121 122 Migration Policy Review 2010 Vol.2 123 124 Migration Policy Review 2010 Vol.2 125 126 Migration Policy Review 2010 Vol.2 127 128 Migration Policy Review 2010

More information

JFE.dvi

JFE.dvi ,, Department of Civil Engineering, Chuo University Kasuga 1-13-27, Bunkyo-ku, Tokyo 112 8551, JAPAN E-mail : atsu1005@kc.chuo-u.ac.jp E-mail : kawa@civil.chuo-u.ac.jp SATO KOGYO CO., LTD. 12-20, Nihonbashi-Honcho

More information

JGSS統計分析セミナー2009-傾向スコアを用いた因果分析-

JGSS統計分析セミナー2009-傾向スコアを用いた因果分析- 日本版総合的社会調査共同研究拠点研究論文集 [10] JGSS Research Seres No.7 JGSS 2009 JGSS JGSS Statstcal Analyss Semnar: Causalty Analyss based on the Propensty Score Kana MIWA JGSS Research Center Osaka Unversty of Commerce

More information

1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan

1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:

More information

Vol. 48 No. 3 Mar PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Indus

Vol. 48 No. 3 Mar PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Indus Vol. 48 No. 3 Mar. 2007 PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Industry Collaboration Yoshiaki Matsuzawa and Hajime Ohiwa

More information

58 10

58 10 57 Multi-channel MAC Protocol with Multi-busytone in Ad-hoc Networks Masatoshi Fukushima*, Ushio Yamamoto* and Yoshikuni Onozato* Abstract Multi-channel MAC protocols for wireless ad hoc networks have

More information

24 Depth scaling of binocular stereopsis by observer s own movements

24 Depth scaling of binocular stereopsis by observer s own movements 24 Depth scaling of binocular stereopsis by observer s own movements 1130313 2013 3 1 3D 3D 3D 2 2 i Abstract Depth scaling of binocular stereopsis by observer s own movements It will become more usual

More information

P1_お歳暮2015

P1_お歳暮2015 2015 W15-110 3,000 W15-120 5,000 W15-130 2,500 W15-140 3,500 W15-150 3,000 1 X mas W15-210 3,000 W15-220 3,500 W15-230 3,000 W15-240 4,000 2 X mas X mas W15-330 3,100 W15-340 3,400 3,500 W15-320 3,000

More information

IPSJ SIG Technical Report Vol.2012-MPS-88 No /5/17 1,a) 1 Network Immunization via Community Structure based Node Representation Tetsuya Yoshida

IPSJ SIG Technical Report Vol.2012-MPS-88 No /5/17 1,a) 1 Network Immunization via Community Structure based Node Representation Tetsuya Yoshida 1,a) 1 Network Immunization via Community tructure based Node Reresentation Tetsuya Yoshida 1,a) Yuu Yamada 1 Abstract: We roose an aroach for immunization of networks via modularity based node reresentation.

More information

(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s

(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s 1 1 1, Extraction of Transmitted Light using Parallel High-frequency Illumination Kenichiro Tanaka 1 Yasuhiro Mukaigawa 1 Yasushi Yagi 1 Abstract: We propose a new sharpening method of transmitted scene

More information

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, 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

More information

Google Social Influences and Legal Issues of Google Street View Hiroshi Takada

Google Social Influences and Legal Issues of Google Street View Hiroshi Takada Social Influences and Legal Issues of Google Street View Hiroshi Takada Sanno University Bulletin Vol. No. September Social Influences and Legal Issues of Google Street View Hiroshi Takada In this paper,

More information

2 (March 13, 2010) N Λ a = i,j=1 x i ( d (a) i,j x j ), Λ h = N i,j=1 x i ( d (h) i,j x j ) B a B h B a = N i,j=1 ν i d (a) i,j, B h = x j N i,j=1 ν i

2 (March 13, 2010) N Λ a = i,j=1 x i ( d (a) i,j x j ), Λ h = N i,j=1 x i ( d (h) i,j x j ) B a B h B a = N i,j=1 ν i d (a) i,j, B h = x j N i,j=1 ν i 1. A. M. Turing [18] 60 Turing A. Gierer H. Meinhardt [1] : (GM) ) a t = D a a xx µa + ρ (c a2 h + ρ 0 (0 < x < l, t > 0) h t = D h h xx νh + c ρ a 2 (0 < x < l, t > 0) a x = h x = 0 (x = 0, l) a = a(x,

More information

Takens / / 1989/1/1 2009/9/ /1/1 2009/9/ /1/1 2009/9/30,,, i

Takens / / 1989/1/1 2009/9/ /1/1 2009/9/ /1/1 2009/9/30,,, i 21 Market forecast using chaos theory 1100334 2010 3 1 Takens / / 1989/1/1 2009/9/30 1997/1/1 2009/9/30 1999/1/1 2009/9/30,,, i Abstract Market forecast using chaos theory Hiroki Hara The longitudinal

More information

Core Ethics Vol.

Core Ethics Vol. Core Ethics Vol. - Core Ethics Vol. Core Ethics Vol. ,,,,,, Core Ethics Vol. - Core Ethics Vol. p. p. p. p. p. pp. - p. " pp. - 煞 ,,..,,....,.......,.,...,..,.,.......,..,,,,,,,,,,,,........,.,.....,...,.,,,,,,,,..,.....

More information

it-ken_open.key

it-ken_open.key 深層学習技術の進展 ImageNet Classification 画像認識 音声認識 自然言語処理 機械翻訳 深層学習技術は これらの分野において 特に圧倒的な強みを見せている Figure (Left) Eight ILSVRC-2010 test Deep images and the cited4: from: ``ImageNet Classification with Networks et

More information

,,.,.,,.,.,.,.,,.,..,,,, i

,,.,.,,.,.,.,.,,.,..,,,, i 22 A person recognition using color information 1110372 2011 2 13 ,,.,.,,.,.,.,.,,.,..,,,, i Abstract A person recognition using color information Tatsumo HOJI Recently, for the purpose of collection of

More information

40

40 39 54 2007 About the positive meaning of "self-education" Self-education of cooks in ramen-shops and learning of teachers Yasunori KASHIWAGI Abstract This paper attempts to reveal the positive meaning

More information

Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).

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

More information

Core Ethics Vol.

Core Ethics Vol. Core Ethics Vol. Core Ethics Vol. . % % % Core Ethics Vol. %, Core Ethics Vol. % % % -. %. Core Ethics Vol. a b : Core Ethics Vol. pp... pp.. pp... pp. pp.. pp...pp.... pp. pp. pp.. pp.. Vol.. pp... pp..

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

& 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 information

TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat

TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat 1 1 2 1. TF-IDF TDF-IDF TDF-IDF. 3 18 6 Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Satoshi Date, 1 Teruaki Kitasuka, 1 Tsuyoshi Itokawa 2

More information

JOURNAL OF THE JAPANESE ASSOCIATION FOR PETROLEUM TECHNOLOGY VOL. 66, NO. 6 (Nov., 2001) (Received August 10, 2001; accepted November 9, 2001) Alterna

JOURNAL OF THE JAPANESE ASSOCIATION FOR PETROLEUM TECHNOLOGY VOL. 66, NO. 6 (Nov., 2001) (Received August 10, 2001; accepted November 9, 2001) Alterna JOURNAL OF THE JAPANESE ASSOCIATION FOR PETROLEUM TECHNOLOGY VOL. 66, NO. 6 (Nov., 2001) (Received August 10, 2001; accepted November 9, 2001) Alternative approach using the Monte Carlo simulation to evaluate

More information

Page 1 of 6 B (The World of Mathematics) November 20, 2006 Final Exam 2006 Division: ID#: Name: 1. p, q, r (Let p, q, r are propositions. ) (10pts) (a

Page 1 of 6 B (The World of Mathematics) November 20, 2006 Final Exam 2006 Division: ID#: Name: 1. p, q, r (Let p, q, r are propositions. ) (10pts) (a Page 1 of 6 B (The World of Mathematics) November 0, 006 Final Exam 006 Division: ID#: Name: 1. p, q, r (Let p, q, r are propositions. ) (a) (Decide whether the following holds by completing the truth

More information

Vol. 31 No. 3 Aug. 2014 157 VCG [16][12] yes/no VCG VCG 1 ( ) 1. 1 (VCG-equvalent n expectaton, VCG-EE) VCG VCG VCG-EE VCG VCG

Vol. 31 No. 3 Aug. 2014 157 VCG [16][12] yes/no VCG VCG 1 ( ) 1. 1 (VCG-equvalent n expectaton, VCG-EE) VCG VCG VCG-EE VCG VCG 156 VCG-equvalent n Expectaton VCG-equvalent n expectaton VCG-equvalent n expectaton Vckrey-Clarke-Groves (VCG) VCG VCG-equvalent n expectaton VCG-equvalent n expectaton In ths paper, we develop a new

More information

16

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

More information

<836F F312E706466>

<836F F312E706466> 5022381212008. 3 1 2 1 2 1 2 3 1 2 3 4 1 2 3 4 1 2 3 Real World 4 Imagined World 1 5 6 4 1792 7 4 1847 8 9 1 10 11 12 13 14 22 200 15 1 3 1783 4 16 7 8 17 2 18 3 19 20 21 22 23 1995 40 24 25 3 1 1 4 3

More information

Title 生活年令による学級の等質化に関する研究 (1) - 生活年令と学業成績について - Author(s) 与那嶺, 松助 ; 東江, 康治 Citation 研究集録 (5): 33-47 Issue Date 1961-12 URL http://hdl.handle.net/20.500.12000/ Rights 46 STUDIES ON HOMOGENEOUS

More information

x E E E e i ω = t + ikx 0 k λ λ 2π k 2π/λ k ω/v v n v c/n k = nω c c ω/2π λ k 2πn/λ 2π/(λ/n) κ n n κ N n iκ k = Nω c iωt + inωx c iωt + i( n+ iκ ) ωx

x E E E e i ω = t + ikx 0 k λ λ 2π k 2π/λ k ω/v v n v c/n k = nω c c ω/2π λ k 2πn/λ 2π/(λ/n) κ n n κ N n iκ k = Nω c iωt + inωx c iωt + i( n+ iκ ) ωx x E E E e i ω t + ikx k λ λ π k π/λ k ω/v v n v c/n k nω c c ω/π λ k πn/λ π/(λ/n) κ n n κ N n iκ k Nω c iωt + inωx c iωt + i( n+ iκ ) ωx c κω x c iω ( t nx c) E E e E e E e e κ e ωκx/c e iω(t nx/c) I I

More information

技術の系統化調査報告「プロセス制御システムの技術系統化調査」

技術の系統化調査報告「プロセス制御システムの技術系統化調査」 A Technical Survey of Process Control Systems 3 Yutaka Wakasa Abstract Yutaka Wakasa 95 1 2 96 Vol.11 2008.March 2.1 2.2 97 98 Vol.11 2008.March 99 3 3.1 3.2 3.3 100 Vol.11 2008.March 101 3.4 102 Vol.11

More information

2 2 1 2 1 2 1 2 2 Web Web Web Web 1 1,,,,,, Web, Web - i -

2 2 1 2 1 2 1 2 2 Web Web Web Web 1 1,,,,,, Web, Web - i - 2015 Future University Hakodate 2015 System Information Science Practice Group Report Project Name Improvement of Environment for Learning Mathematics at FUN C (PR ) Group Name GroupC (PR) /Project No.

More information

wakate2005-tobari-ver2.ppt

wakate2005-tobari-ver2.ppt 8 005 3 17 Outlne 1. Introducton. 3. 4. Introducton Image of MUSES-C on engne JAXA b = 4ε 9 q m V d 3 a large-scale) MHD MPD chokng VASIMR Super-Alfvénc flow plasma detachment HITOP(HIgh densty TOhoku

More information

DTN DTN DTN DTN i

DTN DTN DTN DTN i 28 DTN Proposal of the Aggregation Message Ferrying for Evacuee s Data Delivery in DTN Environment 1170302 2017 2 28 DTN DTN DTN DTN i Abstract Proposal of the Aggregation Message Ferrying for Evacuee

More information

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)

(MIRU2008) HOG Histograms of Oriented Gradients (HOG) (MIRU2008) 2008 7 HOG - - E-mail: katsu0920@me.cs.scitec.kobe-u.ac.jp, {takigu,ariki}@kobe-u.ac.jp Histograms of Oriented Gradients (HOG) HOG Shape Contexts HOG 5.5 Histograms of Oriented Gradients D Human

More information

再発見を試みるユーザ 入力閲覧ページ出力同位ページ 以前に閲覧したページ 同位ページの推定 2. 1 [4], [13] Dubroy [4] [13] 4 [1], [2], [8], [10], [12] Nshmoto [8] Capra [2] Exact Path Su

再発見を試みるユーザ 入力閲覧ページ出力同位ページ 以前に閲覧したページ 同位ページの推定 2. 1 [4], [13] Dubroy [4] [13] 4 [1], [2], [8], [10], [12] Nshmoto [8] Capra [2] Exact Path Su DEIM Forum 2015 B2-5 606 8501 E-mal: {takeda,ohshma,tanaka}@dl.kus.kyoto-u.ac.jp Web 1. Web Web 44% [9] 33% [11] Web 2 3 4 5 6 再発見を試みるユーザ 入力閲覧ページ出力同位ページ 以前に閲覧したページ 同位ページの推定 2. 1 [4], [13] Dubroy [4] [13]

More information

D d d c b a c x n cε c sε c c σ c sσ c n a c a t sε t sσ t n a t cε t cσ t S n = 0 ( ) 2 bd + n a 2 cdc + atd xn = bd + n ( ac + at ) n = n 1 I M = E

D d d c b a c x n cε c sε c c σ c sσ c n a c a t sε t sσ t n a t cε t cσ t S n = 0 ( ) 2 bd + n a 2 cdc + atd xn = bd + n ( ac + at ) n = n 1 I M = E D b σ σ σ σ S ( ) bd bd ( ) I M E I b ( ) ( ) E.56 F E D ( D ) ( ) M E I.56 F b ( D ) D b σ σ σ S b b ( ) ( ) I M E I b ( ) ( ) E y E M E I ( ) ( ) E y F ( ) ( ) ( ) ( ) ( ) ( ) ( ) y y y y y y A E T SGN

More information

Dirichlet process mixture Dirichlet process mixture 2 /40 MIRU2008 :

Dirichlet process mixture Dirichlet process mixture 2 /40 MIRU2008 : Dirichlet Process : joint work with: Max Welling (UC Irvine), Yee Whye Teh (UCL, Gatsby) http://kenichi.kurihara.googlepages.com/miru_workshop.pdf 1 /40 MIRU2008 : Dirichlet process mixture Dirichlet process

More information

A Construction of Hybrid Adaptive Control System Using a Fixed Compensator Shiro MASUDA*, Hiroshi OKAMOTO** and Akira INOUE* In this paper, we propose

A Construction of Hybrid Adaptive Control System Using a Fixed Compensator Shiro MASUDA*, Hiroshi OKAMOTO** and Akira INOUE* In this paper, we propose A Construction of Hybrid Adaptive Control System Using a Fixed Compensator Shiro MASUDA*, Hiroshi OKAMOTO** and Akira INOUE* In this paper, we propose a new design scheme of hybrid adaptive control system

More information

第 55 回自動制御連合講演会 2012 年 11 月 17 日,18 日京都大学 1K403 ( ) Interpolation for the Gas Source Detection using the Parameter Estimation in a Sensor Network S. T

第 55 回自動制御連合講演会 2012 年 11 月 17 日,18 日京都大学 1K403 ( ) Interpolation for the Gas Source Detection using the Parameter Estimation in a Sensor Network S. T 第 55 回自動制御連合講演会 212 年 11 月 日, 日京都大学 1K43 () Interpolation for the Gas Source Detection using the Parameter Estimation in a Sensor Network S. Tokumoto, T. Namerikawa (Keio Univ. ) Abstract The purpose of

More information

: : : : ) ) 1. d ij f i e i x i v j m a ij m f ij n x i =

: : : : ) ) 1. d ij f i e i x i v j m a ij m f ij n x i = 1 1980 1) 1 2 3 19721960 1965 2) 1999 1 69 1980 1972: 55 1999: 179 2041999: 210 211 1999: 211 3 2003 1987 92 97 3) 1960 1965 1970 1985 1990 1995 4) 1. d ij f i e i x i v j m a ij m f ij n x i = n d ij

More information

Title 混合体モデルに基づく圧縮性流体と移動する固体の熱連成計算手法 Author(s) 鳥生, 大祐 ; 牛島, 省 Citation 土木学会論文集 A2( 応用力学 ) = Journal of Japan Civil Engineers, Ser. A2 (2017), 73 Issue

Title 混合体モデルに基づく圧縮性流体と移動する固体の熱連成計算手法 Author(s) 鳥生, 大祐 ; 牛島, 省 Citation 土木学会論文集 A2( 応用力学 ) = Journal of Japan Civil Engineers, Ser. A2 (2017), 73 Issue Title 混合体モデルに基づく圧縮性流体と移動する固体の熱連成計算手法 Author(s) 鳥生, 大祐 ; 牛島, 省 Citation 土木学会論文集 A2( 応用力学 ) = Journal of Japan Civil Engineers, Ser. A2 (2017), 73 Issue Date 2017 URL http://hdl.handle.net/2433/229150 Right

More information

(3.6 ) (4.6 ) 2. [3], [6], [12] [7] [2], [5], [11] [14] [9] [8] [10] (1) Voodoo 3 : 3 Voodoo[1] 3 ( 3D ) (2) : Voodoo 3D (3) : 3D (Welc

(3.6 ) (4.6 ) 2. [3], [6], [12] [7] [2], [5], [11] [14] [9] [8] [10] (1) Voodoo 3 : 3 Voodoo[1] 3 ( 3D ) (2) : Voodoo 3D (3) : 3D (Welc 1,a) 1,b) Obstacle Detection from Monocular On-Vehicle Camera in units of Delaunay Triangles Abstract: An algorithm to detect obstacles by using a monocular on-vehicle video camera is developed. Since

More information

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple 1 2 3 4 5 e β /α α β β / α A judgment method of difficulty of task for a learner using simple electroencephalograph Katsuyuki Umezawa 1 Takashi Ishida 2 Tomohiko Saito 3 Makoto Nakazawa 4 Shigeichi Hirasawa

More information

EQUIVALENT TRANSFORMATION TECHNIQUE FOR ISLANDING DETECTION METHODS OF SYNCHRONOUS GENERATOR -REACTIVE POWER PERTURBATION METHODS USING AVR OR SVC- Ju

EQUIVALENT TRANSFORMATION TECHNIQUE FOR ISLANDING DETECTION METHODS OF SYNCHRONOUS GENERATOR -REACTIVE POWER PERTURBATION METHODS USING AVR OR SVC- Ju EQUIVALENT TRANSFORMATION TECHNIQUE FOR ISLANDING DETECTION METHODS OF SYNCHRONOUS GENERATOR -REACTIVE POWER PERTURBATION METHODS USING AVR OR SVC- Jun Motohashi, Member, Takashi Ichinose, Member (Tokyo

More information

2010EIGOKYOIKU.indd

2010EIGOKYOIKU.indd 1. 1990 2. 1970 1980 1990 2000 6 19 1993 1 2 35 英 語 と 英 語 教 育 の 眺 望 120 15~40 90 2009:280 1970 36 実 用 英 語 教 育 偏 向 への 批 判 的 考 察 3.? 10 3.1.? TOEIC 37 英 語 と 英 語 教 育 の 眺 望 ENGLISH JOURNAL CNN ENGLISH EXPRESS

More information

2 ( ) i

2 ( ) i 25 Study on Rating System in Multi-player Games with Imperfect Information 1165069 2014 2 28 2 ( ) i ii Abstract Study on Rating System in Multi-player Games with Imperfect Information Shigehiko MORITA

More information

知能と情報, Vol.30, No.5, pp

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 information