Vol.-ICS-6 No.3 /3/8 Input.8.6 y.4 Fig....5 receptive field x 3 w x y Machband w(x =

Size: px
Start display at page:

Download "Vol.-ICS-6 No.3 /3/8 Input.8.6 y.4 Fig....5 receptive field x 3 w x y Machband w(x ="

Transcription

1 DOG(Difference of two Gaussians 8 A feedback model for the brightness illusion Shoji Nodasaka and Asaki Saito We consider mechanism of the Hermann grid. The mechanism is usually explained by effects of on-center receptive fields lateral inhibition. We suppose that optical illusion is caused by a process of edge detection in early vision, and perform numerical experiments. DOG functions are used to detect edges in eight detection. By summing up these functions, we obtain almost same figure as we recognize. The Hermann grids circle also seems to be glimming. To analysis the glimming circles, we construct a new model that adopts feedback connections between the lateral geniculate nucleus and parts of early vision, and conduct some numerical experiments.. Future University Hakodate. Ernst Mach Vol.-ICS-6 No.3 /3/8 c Information Processing Society of Japan

2 Vol.-ICS-6 No.3 /3/8 Input.8.6 y.4 Fig....5 receptive field x 3 w x y Machband w(x = πσe e x σe x a πσi e σ i (σ i =.6σ e x x s(x w(x x x z f (x z f (x = w(x xs(x dx ( x= Fig. 4 output s (x 3 y = y = DOG w(x ( 4 x c Information Processing Society of Japan

3 Vol.-ICS-6 No.3 /3/8 3. DOG ( wl(x, y = e πσ x,e x σ x,e e πσ x,i x σ x,i e πσ y y σ y ( 5 Fig. 5 Hermann grid 8 wl θ(k = wl(x cos θ y sin θ, x sin θ + y cos θ (3 θ = kπ, (k =,..., 7 ( Fig. 6 cause of Hermann grid. Ludimar Hermann?? c Information Processing Society of Japan

4 Vol.-ICS-6 No.3 /3/8 7 z Fig. 7 output z z Fig. 8 contour line of output z DOG (5 w k (x, y = x +y x +y πσe e σe a πσi e σ i (5 s (x, y (6 z (x, y = w k (x x, y y s (x, ydxdy (6 x= y= wl θ s (x, y (7 ( z θ(k(x, y = wl θ(k (x x, y y s(x, ydxdy (7 x= y= z k 9 9 Fig. 9 Hermann grid s output by proposal technique 6. Fig. z 8 ( contour line of Hermann grid s output by proposal technique S n+ (x, y = αz + βs n (x, y (8 < α <, < β < (9 (8 β S n+ αz ( = β S n αz ( β β ( = β S n αz ( β (... = β n S αz (n ( β S n+ = β n ( S S n = β n ( S αz β αz β + αz β + αz β (n (3 (n (4 4 c Information Processing Society of Japan

5 Vol.-ICS-6 No.3 /3/8 情報処理学会研究報告 図 出力の初期状態 Fig. initial state of output z の出力 図 から z7π/8 Fig. output from z to z7π/8 が得られる ここで n とすると β < より αi Sn = β となる 図 3 n = の出力の状態 Fig. 3 state at n = (5 σx,e = 8., σx,i =.6 sigmax,e, σy = 5. として計算を行った結果を示す 図 が出力の初期状態で S(, =.579 である 図 3 が n = 5 のときの状態 ( で S(, 5 =.495 である これは αi /( β = =.9.579/( (.9 =.4947 とほぼ等しい値になっている 7. 考察と結論 7. ヘルマン格子錯視の発生について ヘルマン格子錯視が発生する原因について従来は受容野のオン領域とオフ領域による刺 激の相互作用によって 白色と黒色のコントラストが強まった結果交差点の個所に灰色の円 図 4 S(, の値:横軸 x 縦軸 S(, Fig. 4 value of S(, :y-axis-x x-axis:s(, が現れるという説明がされていた それを数値計算で検証した結果 交差点の個所に円が現 れたが 我々が知覚するものと比べてサイズが小さく 周囲の白い部分とのコントラストの 差がなだらかであるため原因を十分に説明できているとはいえない 一方本研究の提案手法 5 c Information Processing Society of Japan

6 Vol.-ICS-6 No.3 /3/8 7.,,, p ,,, pp Ben S. Webb., Chris J. Tinsley, Nick E. Barraclough, Alexander Easton, Amanda Parker and Andrew M. Derrington.: Feedback from V and inhibition from beyond the classical receptive field modulates the responses of neurons in the primate lateral geniculate nucleus Visual Neuroscience, Vol.9, pp ( 4 Matteo Caradini, David J. Heeger.: Summation and division by neurons in primate visual cortex, Science, 7 May, Vol.64, pp ( Matteo Carandini.: Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex, The Journal of Neuroscience, November, 7(, pp ( c Information Processing Society of Japan

知能科学:ニューラルネットワーク

知能科学:ニューラルネットワーク 2 3 4 (Neural Network) (Deep Learning) (Deep Learning) ( x x = ax + b x x x ? x x x w σ b = σ(wx + b) x w b w b .2.8.6 σ(x) = + e x.4.2 -.2 - -5 5 x w x2 w2 σ x3 w3 b = σ(w x + w 2 x 2 + w 3 x 3 + b) x,

More information

知能科学:ニューラルネットワーク

知能科学:ニューラルネットワーク 2 3 4 (Neural Network) (Deep Learning) (Deep Learning) ( x x = ax + b x x x ? x x x w σ b = σ(wx + b) x w b w b .2.8.6 σ(x) = + e x.4.2 -.2 - -5 5 x w x2 w2 σ x3 w3 b = σ(w x + w 2 x 2 + w 3 x 3 + b) x,

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

IPSJ SIG Technical Report Vol.2012-IS-119 No /3/ Web A Multi-story e-picture Book with the Degree-of-interest Extraction Function

IPSJ SIG Technical Report Vol.2012-IS-119 No /3/ Web A Multi-story e-picture Book with the Degree-of-interest Extraction Function 1 2 2 3 4 2 Web A Multi-story e-picture Book with the Degree-of-interest Extraction Function Kunimichi Shibata, 1 Masakuni Moriyama, 2 Kazuhide Yukawa, 2 Koji Ueno, 3 Kazuo Takahashi 4 and Shigeo Kaneda

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

IPSJ SIG Technical Report Pitman-Yor 1 1 Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Aki

IPSJ SIG Technical Report Pitman-Yor 1 1 Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Aki Pitman-Yor Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Akira Shirai and Tadahiro Taniguchi Although a lot of melody generation method has been

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

6 2 2 x y x y t P P = P t P = I P P P ( ) ( ) ,, ( ) ( ) cos θ sin θ cos θ sin θ, sin θ cos θ sin θ cos θ y x θ x θ P

6 2 2 x y x y t P P = P t P = I P P P ( ) ( ) ,, ( ) ( ) cos θ sin θ cos θ sin θ, sin θ cos θ sin θ cos θ y x θ x θ P 6 x x 6.1 t P P = P t P = I P P P 1 0 1 0,, 0 1 0 1 cos θ sin θ cos θ sin θ, sin θ cos θ sin θ cos θ x θ x θ P x P x, P ) = t P x)p ) = t x t P P ) = t x = x, ) 6.1) x = Figure 6.1 Px = x, P=, θ = θ P

More information

光学

光学 Received January 8, 010; Revised August 4, 010; Accepted September 30, 010 39, 1 010 598 604 808 0135 1 1 815 8540 4 9 1 The Effects of Stimulus Size and Retinal Position on Depth Perception from Binocular

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

情報処理学会研究報告 IPSJ SIG Technical Report Vol.2017-CG-166 No /3/ HUNTEXHUNTER1 NARUTO44 Dr.SLUMP1,,, Jito Hiroki Satoru MORITA The

情報処理学会研究報告 IPSJ SIG Technical Report Vol.2017-CG-166 No /3/ HUNTEXHUNTER1 NARUTO44 Dr.SLUMP1,,, Jito Hiroki Satoru MORITA The 755-8611 2-16-1 HUNTEXHUNTER1 NARUTO44 Dr.SLUMP1,,, Jito Hiroki Satoru MORITA The Graduate School of Science and Engineering,Yamaguchi University 2-16-1 Tokiwadai, Ube, 755-8611, Japan It is not easy to

More information

Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L

Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L 1,a) 1,b) 1/f β Generation Method of Animation from Pictures with Natural Flicker Abstract: Some methods to create animation automatically from one picture have been proposed. There is a method that gives

More information

IPSJ SIG Technical Report Vol.2015-CVIM-196 No /3/6 1,a) 1,b) 1,c) U,,,, The Camera Position Alignment on a Gimbal Head for Fixed Viewpoint Swi

IPSJ SIG Technical Report Vol.2015-CVIM-196 No /3/6 1,a) 1,b) 1,c) U,,,, The Camera Position Alignment on a Gimbal Head for Fixed Viewpoint Swi 1,a) 1,b) 1,c) U,,,, The Camera Position Alignment on a Gimbal Head for Fixed Viewpoint Swiveling using a Misalignment Model Abstract: When the camera sets on a gimbal head as a fixed-view-point, it is

More information

ID 3) 9 4) 5) ID 2 ID 2 ID 2 Bluetooth ID 2 SRCid1 DSTid2 2 id1 id2 ID SRC DST SRC 2 2 ID 2 2 QR 6) 8) 6) QR QR QR QR

ID 3) 9 4) 5) ID 2 ID 2 ID 2 Bluetooth ID 2 SRCid1 DSTid2 2 id1 id2 ID SRC DST SRC 2 2 ID 2 2 QR 6) 8) 6) QR QR QR QR Vol. 51 No. 11 2081 2088 (Nov. 2010) 2 1 1 1 which appended specific characters to the information such as identification to avoid parity check errors, before QR Code encoding with the structured append

More information

#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 =

#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 = #A A A. F, F d F P + F P = d P F, F P F F A. α, 0, α, 0 α > 0, + α +, α + d + α + + α + = d d F, F 0 < α < d + α + = d α + + α + = d d α + + α + d α + = d 4 4d α + = d 4 8d + 6 http://mth.cs.kitmi-it.c.jp/

More information

IPSJ SIG Technical Report Vol.2014-CG-155 No /6/28 1,a) 1,2,3 1 3,4 CG An Interpolation Method of Different Flow Fields using Polar Inter

IPSJ SIG Technical Report Vol.2014-CG-155 No /6/28 1,a) 1,2,3 1 3,4 CG An Interpolation Method of Different Flow Fields using Polar Inter ,a),2,3 3,4 CG 2 2 2 An Interpolation Method of Different Flow Fields using Polar Interpolation Syuhei Sato,a) Yoshinori Dobashi,2,3 Tsuyoshi Yamamoto Tomoyuki Nishita 3,4 Abstract: Recently, realistic

More information

2 122

2 122 32 2008 pp. 121 133 1 Received November 4, 2008 The aim of this paper is to clarify some profound changes in the language used in the visual media, especially in TV news programs in Japan, and show what

More information

The Effects of Tax Revenue by Deductions of National Income Tax and Individual Inhabitants Tax The national income tax and individual inhabitants tax

The Effects of Tax Revenue by Deductions of National Income Tax and Individual Inhabitants Tax The national income tax and individual inhabitants tax The Effects of Tax Revenue by Deductions of National Income Tax and Individual Inhabitants Tax The national income tax and individual inhabitants tax have similar deduction systems, but their respective

More information

B HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int

B HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int SOA 1 1 1 1 (HNS) HNS SOA SOA 3 3 A Service-Oriented Platform for Feature Interaction Detection and Resolution in Home Network System Yuhei Yoshimura, 1 Takuya Inada Hiroshi Igaki 1, 1 and Masahide Nakamura

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

23_02.dvi

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

More information

1 3 1.1.......................... 3 1............................... 3 1.3....................... 5 1.4.......................... 6 1.5........................ 7 8.1......................... 8..............................

More information

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 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

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

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

a) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a

a) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a a) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a), Tetsuo SAWARAGI, and Yukio HORIGUCHI 1. Johansson

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

( ) [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

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

特-3.indd

特-3.indd Development of Automation Technology for Precision Finishing Works Employing a Robot Arm There is demand for the automation of finishing processes that require technical skills in the manufacturing of

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

The 15th Game Programming Workshop 2010 Magic Bitboard Magic Bitboard Bitboard Magic Bitboard Bitboard Magic Bitboard Magic Bitboard Magic Bitbo

The 15th Game Programming Workshop 2010 Magic Bitboard Magic Bitboard Bitboard Magic Bitboard Bitboard Magic Bitboard Magic Bitboard Magic Bitbo Magic Bitboard Magic Bitboard Bitboard Magic Bitboard Bitboard Magic Bitboard 64 81 Magic Bitboard Magic Bitboard Bonanza Proposal and Implementation of Magic Bitboards in Shogi Issei Yamamoto, Shogo Takeuchi,

More information

Vol.57 No

Vol.57 No Title 合併と企業統治 : 大正期東洋紡と大日本紡の比較 Author(s) 川井, 充 Citation 大阪大学経済学. 57(3) P.38-P.72 Issue 2007-12 Date Text Version publisher URL http://hdl.handle.net/11094/17848 DOI Rights Osaka University Vol.57 No.3

More information

1 911 9001030 9:00 A B C D E F G H I J K L M 1A0900 1B0900 1C0900 1D0900 1E0900 1F0900 1G0900 1H0900 1I0900 1J0900 1K0900 1L0900 1M0900 9:15 1A0915 1B0915 1C0915 1D0915 1E0915 1F0915 1G0915 1H0915 1I0915

More information

212013pp. 1 13 2 1 4 1980 1987 74.91997 70.12007 2014 1 31 1 64.4201161.8 1 2 3 1 3 2 4 3 2006 5 1 2 6 2 25.6 7 23.11 4.1 3.4 2 12.4 9.7 3.8 5.9 50.0 81.8 75.060.0 95.070.0 65.0 25.6 23.1 4.1 3.4 2006

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

Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Enginee

Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Enginee Study on Application of the cos a Method to Neutron Stress Measurement Toshihiko SASAKI*3 and Yukio HIROSE Department of Materials Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa-shi,

More information

2 1,384,000 2,000,000 1,296,211 1,793,925 38,000 54,500 27,804 43,187 41,000 60,000 31,776 49,017 8,781 18,663 25,000 35,300 3 4 5 6 1,296,211 1,793,925 27,804 43,187 1,275,648 1,753,306 29,387 43,025

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

3 1 Table 1 1 Feature classification of frames included in a comic magazine Type A Type B Type C Others 81.5% 10.3% 5.0% 3.2% Fig. 1 A co

3 1 Table 1 1 Feature classification of frames included in a comic magazine Type A Type B Type C Others 81.5% 10.3% 5.0% 3.2% Fig. 1 A co 1 2 3 3 1 Hough 0.9 0.7 0.9 A Study on Frame Corner Detection of Comic Image Daisuke Ishii, 1 Kei Kawamura, 2 Keiichiro Hoashi, 3 Yasuhiro Takishima 3 and Hiroshi Watanabe 1 In this paper, we propose and

More information

Vol1-CVIM-172 No.7 21/5/ Shan 1) 2 2)3) Yuan 4) Ancuti 5) Agrawal 6) 2.4 Ben-Ezra 7)8) Raskar 9) Image domain Blur image l PSF b / = F(

Vol1-CVIM-172 No.7 21/5/ Shan 1) 2 2)3) Yuan 4) Ancuti 5) Agrawal 6) 2.4 Ben-Ezra 7)8) Raskar 9) Image domain Blur image l PSF b / = F( Vol1-CVIM-172 No.7 21/5/27 1 Proposal on Ringing Detector for Image Restoration Chika Inoshita, Yasuhiro Mukaigawa and Yasushi Yagi 1 A lot of methods have been proposed for restoring blurred images due

More information

xx/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

xx/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 information

udc-2.dvi

udc-2.dvi 13 0.5 2 0.5 2 1 15 2001 16 2009 12 18 14 No.39, 2010 8 2009b 2009a Web Web Q&A 2006 2007a20082009 2007b200720082009 20072008 2009 2009 15 1 2 2 2.1 18 21 1 4 2 3 1(a) 1(b) 1(c) 1(d) 1) 18 16 17 21 10

More information

,,,, : - i -

,,,, : - i - 2017 Future University Hakodate 2017 System Information Science Practice Group Report Project Name Manga engineering Group Name Literacy Manga /Project No. 19 /Project Leader 1015131 Kiyomasa Murakami

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

2.2 6).,.,.,. Yang, 7).,,.,,. 2.3 SIFT SIFT (Scale-Invariant Feature Transform) 8).,. SIFT,,. SIFT, Mean-Shift 9)., SIFT,., SIFT,. 3.,.,,,,,.,,,., 1,

2.2 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

0801391,繊維学会ファイバ12月号/報文-01-西川

0801391,繊維学会ファイバ12月号/報文-01-西川 Pattern Making Method and Evaluation by Dots of Monochrome Shigekazu Nishikawa 1,MarikoYoshizumi 1,andHajime Miyake 2 1 Miyagi University of Education, 149, Aramaki-aza-Aoba, Aoba-ku, Sendai-shi, Miyagi

More information

Perrett et al.,,,, Fig.,, E I, 76

Perrett et al.,,,, Fig.,, E I, 76 Attempting to Express Strong-impression Face Images from Features of Spatial Frequency: A Consideration of Billiken Statues and Bijin-ga Sakura Torii abstract It is difficult to express the psychological

More information

情報処理学会研究報告 IPSJ SIG Technical Report Vol.2011-MBL-57 No.27 Vol.2011-UBI-29 No /3/ A Consideration of Features for Fatigue Es

情報処理学会研究報告 IPSJ SIG Technical Report Vol.2011-MBL-57 No.27 Vol.2011-UBI-29 No /3/ A Consideration of Features for Fatigue Es 1 1 1 1 1 5 1 2 1 A Consideration of Features for Fatigue Estimation by Gait Analysis Using Accelerometer Hidekazu Higashi, 1 Tadashi Shigeoka, 1 Tsuyoshi Itokawa, 1 Teruaki Kitasuka 1 and Masayoshi Aritsugi

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

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

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi- 1 3 5 4 1 2 1,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-View Video Contents Kosuke Niwa, 1 Shogo Tokai, 3 Tetsuya Kawamoto, 5 Toshiaki Fujii, 4 Marutani Takafumi,

More information

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 1115084 2009 3 5 3.,,,.., HCI(Human Computer Interaction),.,,.,,.,.,,..,. i Abstract Method for Recognizing Expression Considering

More information

& 3 3 ' ' (., (Pixel), (Light Intensity) (Random Variable). (Joint Probability). V., V = {,,, V }. i x i x = (x, x,, x V ) T. x i i (State Variable),

& 3 3 ' ' (., (Pixel), (Light Intensity) (Random Variable). (Joint Probability). V., V = {,,, V }. i x i x = (x, x,, x V ) T. x i i (State Variable), .... Deeping and Expansion of Large-Scale Random Fields and Probabilistic Image Processing Kazuyuki Tanaka The mathematical frameworks of probabilistic image processing are formulated by means of Markov

More information

() x + y + y + x dy dx = 0 () dy + xy = x dx y + x y ( 5) ( s55906) 0.7. (). 5 (). ( 6) ( s6590) 0.8 m n. 0.9 n n A. ( 6) ( s6590) f A (λ) = det(a λi)

() x + y + y + x dy dx = 0 () dy + xy = x dx y + x y ( 5) ( s55906) 0.7. (). 5 (). ( 6) ( s6590) 0.8 m n. 0.9 n n A. ( 6) ( s6590) f A (λ) = det(a λi) 0. A A = 4 IC () det A () A () x + y + z = x y z X Y Z = A x y z ( 5) ( s5590) 0. a + b + c b c () a a + b + c c a b a + b + c 0 a b c () a 0 c b b c 0 a c b a 0 0. A A = 7 5 4 5 0 ( 5) ( s5590) () A ()

More information

II Karel Švadlenka * [1] 1.1* 5 23 m d2 x dt 2 = cdx kx + mg dt. c, g, k, m 1.2* u = au + bv v = cu + dv v u a, b, c, d R

II Karel Švadlenka * [1] 1.1* 5 23 m d2 x dt 2 = cdx kx + mg dt. c, g, k, m 1.2* u = au + bv v = cu + dv v u a, b, c, d R II Karel Švadlenka 2018 5 26 * [1] 1.1* 5 23 m d2 x dt 2 = cdx kx + mg dt. c, g, k, m 1.2* 5 23 1 u = au + bv v = cu + dv v u a, b, c, d R 1.3 14 14 60% 1.4 5 23 a, b R a 2 4b < 0 λ 2 + aλ + b = 0 λ =

More information

2 1 ( ) 2 ( ) i

2 1 ( ) 2 ( ) i 21 Perceptual relation bettween shadow, reflectance and luminance under aambiguous illuminations. 1100302 2010 3 1 2 1 ( ) 2 ( ) i Abstract Perceptual relation bettween shadow, reflectance and luminance

More information

untitled

untitled 11-19 2012 1 2 3 30 2 Key words acupuncture insulated needle cervical sympathetick trunk thermography blood flow of the nasal skin Received September 12, 2011; Accepted November 1, 2011 I 1 2 1954 3 564-0034

More information

SFGÇÃÉXÉyÉNÉgÉãå`.pdf

SFGÇÃÉXÉyÉNÉgÉãå`.pdf SFG 1 SFG SFG I SFG (ω) χ SFG (ω). SFG χ χ SFG (ω) = χ NR e iϕ +. ω ω + iγ SFG φ = ±π/, χ φ = ±π 3 χ SFG χ SFG = χ NR + χ (ω ω ) + Γ + χ NR χ (ω ω ) (ω ω ) + Γ cosϕ χ NR χ Γ (ω ω ) + Γ sinϕ. 3 (θ) 180

More information

IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for

IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for 1 2 3 3 1 Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for Mobile Terminals Kaoru Wasai 1 Fumio Sugai 2 Yosihiro Kita 3 Mi RangPark 3 Naonobu

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

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

1 1 sin cos P (primary) S (secondly) 2 P S A sin(ω2πt + α) A ω 1 ω α V T m T m 1 100Hz m 2 36km 500Hz. 36km 1

1 1 sin cos P (primary) S (secondly) 2 P S A sin(ω2πt + α) A ω 1 ω α V T m T m 1 100Hz m 2 36km 500Hz. 36km 1 sin cos P (primary) S (secondly) 2 P S A sin(ω2πt + α) A ω ω α 3 3 2 2V 3 33+.6T m T 5 34m Hz. 34 3.4m 2 36km 5Hz. 36km m 34 m 5 34 + m 5 33 5 =.66m 34m 34 x =.66 55Hz, 35 5 =.7 485.7Hz 2 V 5Hz.5V.5V V

More information

* Meso- -scale Features of the Tokai Heavy Rainfall in September 2000 Shin-ichi SUZUKI Disaster Prevention Research Group, National R

* Meso- -scale Features of the Tokai Heavy Rainfall in September 2000 Shin-ichi SUZUKI Disaster Prevention Research Group, National R 38 2002 7 2000 9 * Meso- -scale Features of the Tokai Heavy Rainfall in September 2000 Shin-ichi SUZUKI Disaster Prevention Research Group, National Research Institute for Earth Science and Disaster Prevention,

More information

( ) fnirs ( ) An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fuji

( ) fnirs ( ) An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fuji 1 1 2 3 4 ( ) fnirs () An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fujii, 1 Shinpei Nagae, 2 Koji Kazai 3 and Haruhiro Katayose

More information

DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)

DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6) 1 2 1 3 Experimental Evaluation of Convenient Strain Measurement Using a Magnet for Digital Public Art Junghyun Kim, 1 Makoto Iida, 2 Takeshi Naemura 1 and Hiroyuki Ota 3 We present a basic technology

More information

1 UD Fig. 1 Concept of UD tourist information system. 1 ()KDDI UD 7) ) UD c 2010 Information Processing S

1 UD Fig. 1 Concept of UD tourist information system. 1 ()KDDI UD 7) ) UD c 2010 Information Processing S UD 1 2 3 4 1 UD UD UD 2008 2009 Development and Evaluation of UD Tourist Information System Using Mobile Phone to Heritage Park HISASHI ICHIKAWA, 1 HIROYUKI FUKUOKA, 2 YASUNORI OSHIDA, 3 TORU KANO 4 and

More information

IPSJ SIG Technical Report Vol.2013-GN-87 No /3/ Research of a surround-sound field adjustmen system based on loudspeakers arrangement Ak

IPSJ SIG Technical Report Vol.2013-GN-87 No /3/ Research of a surround-sound field adjustmen system based on loudspeakers arrangement Ak 1 1 3 Research of a surround-sound field adjustmen system based on loudspeakers arrangement Akiyama Daichi 1 Kanai Hideaki 1 Abstract: In this paper, we propose a presentation method that does not depend

More information

日立金属技報 Vol.34

日立金属技報 Vol.34 Influence of Misorientation Angle between Adjacent Grains on Magnetization Reversal in Nd-Fe-B Sintered Magnet Tomohito Maki Rintaro Ishii Mitsutoshi Natsumeda Takeshi Nishiuchi Ryo Uchikoshi Masaaki Takezawa

More information

3_23.dvi

3_23.dvi Vol. 52 No. 3 1234 1244 (Mar. 2011) 1 1 mixi 1 Casual Scheduling Management and Shared System Using Avatar Takashi Yoshino 1 and Takayuki Yamano 1 Conventional scheduling management and shared systems

More information

さくらの個別指導 ( さくら教育研究所 ) A a 1 a 2 a 3 a n {a n } a 1 a n n n 1 n n 0 a n = 1 n 1 n n O n {a n } n a n α {a n } α {a

さくらの個別指導 ( さくら教育研究所 ) A a 1 a 2 a 3 a n {a n } a 1 a n n n 1 n n 0 a n = 1 n 1 n n O n {a n } n a n α {a n } α {a ... A a a a 3 a n {a n } a a n n 3 n n n 0 a n = n n n O 3 4 5 6 n {a n } n a n α {a n } α {a n } α α {a n } a n n a n α a n = α n n 0 n = 0 3 4. ()..0.00 + (0.) n () 0. 0.0 0.00 ( 0.) n 0 0 c c c c c

More information

24 Perceived depth position of autostereoscopic stimulus

24 Perceived depth position of autostereoscopic stimulus 24 Perceived depth position of autostereoscopic stimulus 1130382 2013 3 1 i Abstract Perceived depth position of autostereoscopic stimulus Kazuki HOJI The glassless stereogram which is known as autostereogram

More information

[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing

[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing 1,a) 1,b) 1,c) 2012 11 8 2012 12 18, 2013 1 27 WEB Ruby Removal Filters Using Genetic Programming for Early-modern Japanese Printed Books Taeka Awazu 1,a) Masami Takata 1,b) Kazuki Joe 1,c) Received: November

More information

CVaR

CVaR CVaR 20 4 24 3 24 1 31 ,.,.,. Markowitz,., (Value-at-Risk, VaR) (Conditional Value-at-Risk, CVaR). VaR, CVaR VaR. CVaR, CVaR. CVaR,,.,.,,,.,,. 1 5 2 VaR CVaR 6 2.1................................................

More information

Fig, 1. Waveform of the short-circuit current peculiar to a metal. Fig. 2. Waveform of arc short-circuit current. 398 T. IEE Japan, Vol. 113-B, No. 4,

Fig, 1. Waveform of the short-circuit current peculiar to a metal. Fig. 2. Waveform of arc short-circuit current. 398 T. IEE Japan, Vol. 113-B, No. 4, Development of a Quick-Acting Type Fuses for Protection of Low Voltage Distribution Lines Terukazu Sekiguchi, Member, Masayuki Okazaki, Member, Tsuginori Inaba, Member (CRIEPI), Naoki Ikeda, Member, Toshiyuki

More information

第62巻 第1号 平成24年4月/石こうを用いた木材ペレット

第62巻 第1号 平成24年4月/石こうを用いた木材ペレット Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting

More information

: 1g99p038-8

: 1g99p038-8 16 17 : 1g99p038-8 1 3 1.1....................................... 4 1................................... 5 1.3.................................. 5 6.1..................................... 7....................................

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

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

: u i = (2) x i Smagorinsky τ ij τ [3] ij u i u j u i u j = 2ν SGS S ij, (3) ν SGS = (C s ) 2 S (4) x i a u i ρ p P T u ν τ ij S c ν SGS S csgs

: u i = (2) x i Smagorinsky τ ij τ [3] ij u i u j u i u j = 2ν SGS S ij, (3) ν SGS = (C s ) 2 S (4) x i a u i ρ p P T u ν τ ij S c ν SGS S csgs 15 C11-4 Numerical analysis of flame propagation in a combustor of an aircraft gas turbine, 4-6-1 E-mail: tominaga@icebeer.iis.u-tokyo.ac.jp, 2-11-16 E-mail: ntani@iis.u-tokyo.ac.jp, 4-6-1 E-mail: itoh@icebeer.iis.u-tokyo.ac.jp,

More information

Optical Lenses CCD Camera Laser Sheet Wind Turbine with med Diffuser Pitot Tube PC Fig.1 Experimental facility. Transparent Diffuser Double Pulsed Nd:

Optical Lenses CCD Camera Laser Sheet Wind Turbine with med Diffuser Pitot Tube PC Fig.1 Experimental facility. Transparent Diffuser Double Pulsed Nd: *1 *2 *3 PIV Measurement of Field of the Wind Turbine with a med Diffuser Kazuhiko TOSHIMITSU *4, Koutarou NISHIKAWA and Yuji OHYA *4 Department of Mechanical Engineering, Matsue National Collage of Technology,

More information

JAPAN MARKETING JOURNAL 111 Vol.28 No.32008

JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING JOURNAL 111 Vol.28 No.32008 JAPAN MARKETING

More information

JAPAN MARKETING JOURNAL 113 Vol.29 No.12009

JAPAN MARKETING JOURNAL 113 Vol.29 No.12009 JAPAN MARKETING JOURNAL 113 Vol.29 No.12009 JAPAN MARKETING JOURNAL 113 Vol.29 No.12009 JAPAN MARKETING JOURNAL 113 Vol.29 No.12009 JAPAN MARKETING JOURNAL 113 Vol.29 No.12009 Vol.29 No.12009 JAPAN MARKETING

More information

JAPAN MARKETING JOURNAL 110 Vol.28 No.22008

JAPAN MARKETING JOURNAL 110 Vol.28 No.22008 Vol.28 No.22008 JAPAN MARKETING JOURNAL 110 Vol.28 No.22008 JAPAN MARKETING JOURNAL 110 Vol.28 No.22008 JAPAN MARKETING JOURNAL 110 Vol.28 No.22008 JAPAN MARKETING JOURNAL 110 Vol.28 No.22008 JAPAN MARKETING

More information

c y /2 ddy = = 2π sin θ /2 dθd /2 [ ] 2π cos θ d = log 2 + a 2 d = log 2 + a 2 = log 2 + a a 2 d d + 2 = l

c y /2 ddy = = 2π sin θ /2 dθd /2 [ ] 2π cos θ d = log 2 + a 2 d = log 2 + a 2 = log 2 + a a 2 d d + 2 = l c 28. 2, y 2, θ = cos θ y = sin θ 2 3, y, 3, θ, ϕ = sin θ cos ϕ 3 y = sin θ sin ϕ 4 = cos θ 5.2 2 e, e y 2 e, e θ e = cos θ e sin θ e θ 6 e y = sin θ e + cos θ e θ 7.3 sgn sgn = = { = + > 2 < 8.4 a b 2

More information

Vol.11-HCI-15 No. 11//1 Xangle 5 Xangle 7. 5 Ubi-WA Finger-Mount 9 Digitrack 11 1 Fig. 1 Pointing operations with our method Xangle Xa

Vol.11-HCI-15 No. 11//1 Xangle 5 Xangle 7. 5 Ubi-WA Finger-Mount 9 Digitrack 11 1 Fig. 1 Pointing operations with our method Xangle Xa Vol.11-HCI-15 No. 11//1 GUI 1 1 1, 1 GUI Graphical User Interface Xangle Xangle A Pointing Method Using Accelerometers for Graphical User Interfaces Tatsuya Horie, 1 Takuya Katayama, 1 Tsutomu Terada 1,

More information

Fig. 3 Coordinate system and notation Fig. 1 The hydrodynamic force and wave measured system Fig. 2 Apparatus of model testing

Fig. 3 Coordinate system and notation Fig. 1 The hydrodynamic force and wave measured system Fig. 2 Apparatus of model testing The Hydrodynamic Force Acting on the Ship in a Following Sea (1 St Report) Summary by Yutaka Terao, Member Broaching phenomena are most likely to occur in a following sea to relative small and fast craft

More information

表紙4_1/山道 小川内 小川内 芦塚

表紙4_1/山道 小川内 小川内 芦塚 1 2008.1Vol.23 2008.1Vol.23 2 2008.1Vol.23 3 2008.1Vol.23 4 5 2008.1Vol.23 2008.1Vol.23 6 7 2008.1Vol.23 2008.1Vol.23 8 9 2008.1Vol.23 10 2008.1Vol.23 11 2008.1Vol.23 12 2008.1Vol.23 Center 13 2008.1Vol.23

More information

広報さがみはら第1242号

広報さがみはら第1242号 LINE UP 3 1 5 6 1 NO.1242 S A G A M I H A R A 1 1 1 16 16 1 6 1 6 1 6 1 1 1 1 1 11 1 1 1 1 1 1 6 1 6 1 1 1 1 1 1 1 1 11 1 1 16 1 1 1 6 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 6 1 16 1 16 1 6 1 1 1 1 1 1

More information