3 ColorWave ColorWave ( ) ColorWave 3
|
|
|
- まな とどろき
- 9 years ago
- Views:
Transcription
1 21
2 3 ColorWave ColorWave ( ) ColorWave 3
3 i
4 ColorWave ColorWave ColorWave ColorWave (Sort by length) (Sort by start, Sort by end) (Sort by color) (Sort by attribute) Mono project (7452 ) Redmine (2253 ) ii
5 iii
6 4.1 : : Status:ASSIGNED : : Status Classification ( ) ( ) ( ) ( ) ColorWave UI: UI UI UI (1) (2) (3) iv
7 9.1 Mono: Classification Mono: Classification Mono: Classification Mono: Product Mono: Product Mono: Product Mono: Priority Mono: Priority Mono: Priority Mono: Priority Mono: Priority ( ) Mono: Priority Priotiry Mono: Priority Priotiry ( ) Mono: Priority Mono: Priority ( ) Redmine: Redmine: Redmine: Redmine: ( ) Redmine: Redmine: Redmine: Redmine: ( ) v
8
9
10 [3]
11 4
12 2 2.1 Storey [8] MDSViews[4] CVS( ) Bugzilla( ) Social Health Overview (SHO) [3] Bugzilla SHO SHO SHO ( ) Aigner [1] Extreme Visualization[7] 5
13 [2] [6] [2] MPI 1 [6] 1 Message Passing Interface 6
14 Bugzilla : Assignee [email protected] Status NEW Resolution ( ) Severity Critical Priority P5 - None Product Mono: Runtime Found in Version 2.0.x 1 bug.cgi?id=
15 3.2: ( ) 2009/03/26 Assignee [email protected] 06:14:04 Severity Normal 2009/03/27 Status RESOLVED 20:08:07 Resolution FIXED 2009/03/30 Status REOPENED 08:09:39 Resolution ( ) 08:10:20 Status NEEDINFO 2009/03/30 Status RESOLVED 17:08:53 Resolution FIXED 2009/04/01 Status REOPENED 10:05:53 Resolution FIXED 10:06:43 Status NEEDINFO 15:15:05 Status REOPENED 2009/04/01 Proprity P2 - High 15:15:38 Severity Major T icket = (State, Modifications) State = {(Attribute, V alue),...} Modifications = {Modification,...} Modification = (ModifiedAt, StateDiff) StateDiff = {(Attribute, V alue),...} 2 3 Bugzilla Activity ( ) 8
16 : : 9
17 4.2: : Status:ASSIGNED 10
18 ( 4.2) ( 4.2) : : ( 4.4) 2 ( ) 1 11
19 4.4: : Status Classification ( ) 12
20
21 ( ) ( ) 14
22 ( )
23 ( ) : ( )
24 6.3 (9.1 ) : ( )
25 6.3: ( ) (x, y) P ixelcolor(x, y) = (Red, Green, Blue) T Left(T ) = T Right(T ) = T T op(t ) = T Bottom(T ) = T min(x + 1, Right(T )) max(x, Left(T )) (Left(T ) x x + 1 Right(T )) CoverageX(T, x) = 0 Otherwise CoverageX(T, x) (Bottom(T ) y y T op(t )) Coverage(T, x, y) = 0 Otherwise Color(T, y) = ( T y Red, Green, Blue ) T P ixelcolor(x, y) = Coverage(T, x, y)color(t, y) t=t icket 18
26 2 0.5 px : 1 19
27
28 21
29 8 ColorWave ColorWave : ColorWave 8.1 ColorWave ColorWave GUI GUI 22
30 GUI 8.2 ColorWave ( 8.1) GUI 8.3 ColorWave ( 8.2) 8.2: UI: 23
31 8.3.3 ( 8.3) 8.3: UI ( 8.4) 8.4: UI (Sort by length) ( 8.5) (Sort by start, Sort by end) ( 8.6, 8.7) 24
32 8.5: 8.6: 25
33 8.7: (Sort by color) ( 8.8) 2 (T 1 T 2 ) D(T 1, T 2 ) Y max = Y min = Y min(t ) = T Y max(t ) = T T y (Y min(t ) y Y max(t )) H(T, y) = (y Y min(t ) Y max(t ) y) D(T 1, T 2 ) = Y max y=y min H(T 1, y) H(T 2, y) 26
34 8.8: (Sort by attribute) 1 ( 8.9) 8.9: UI
35 ( ) ( 8.10 ) 8.10:
36 ( 8.11, 8.12, 8.13) : (1) 8.12: (2) 8.13: (3) ColorWave ColorWave bugzilla redmine HTML XML post process ColorWave Linux Mac OS X ( ) (C# ) ColorWave C#.NET Framework 3.5 XNA Framework 29
37 8.14: 3.1 XNA DirectX MessagePack 1 GB XML
38 9 ColorWave Mono project 9.1 Mono project (7452 ) Mono project bugzilla 2 ColorWave Mono bugzilla 9.1 Mono project Classification Mono Mono project bugzilla 1 Page
39 9.1: Mono: Classification 9.1 ( 9.3 ) Mono project Classification Product 9.2 Product Classification Product 32
40 9.2: Mono: Classification (Compilers Debuggers) (Tools Runtime) (UI Automator) Mono project Product Product Product Product (Compilers Debuggers) (Tools Runtime) Product Product 9.6 (Compilers Debuggers) (Tools Runtime) (UI Automator) (Tools) (Compilers Debuggers) (UI Automator) (Tools) (Debugger) 33
41 9.3: Mono: Classification Priotiry Priority (P3 - Medium) (P5 - None) 9.8 Priority (P3 - Medium) Mono project bugzilla (P5 - None) None Medium None Medium None Priority 9.8 (P1 - Critical) 3 Medium None Critical Priority 9.11 (P0 - Critical) Critical Priority ( 9.12 ) Medium None 3 34
42 9.4: Mono: Product 4 Medium None ( 9.13 ) ( 9.14 ) ( 9.14 ) Critical 4 ColorWave 35
43 9.5: Mono: Product 9.6: Mono: Product 36
44 9.7: Mono: Priority 9.8: Mono: Priority 37
45 9.9: Mono: Priority 9.10: Mono: Priority 38
46 9.11: Mono: Priority ( ) 9.12: Mono: Priority Priotiry 39
47 9.13: Mono: Priority Priotiry ( ) 9.14: Mono: Priority 40
48 9.15: Mono: Priority ( ) 41
49 9.2 Redmine (2253 ) Redmine : Redmine: Mono project Mono project Redmine 9.17 ( NEW) Mono project Redmine
50 9.17: Redmine: Mono project Redmine Mono project Redmine ( Closed) Redmine Redmine Redmine Redmine 7 (Closed) (NEW) (Reopened) (Assigned) 7 [5] 43
51 9.18: Redmine: 9.20 Redmine 9.21 ( ) - ( ) Redmine ( ) (Azamat) (Chaoqun) (Jean) Redmine Redmine ( ) 44
52 9.19: Redmine: ( ) (Azmat) 9.22 (Azmat) (Azmat) 45
53 9.20: Redmine: 9.21: Redmine: 46
54 9.22: Redmine: 9.23: Redmine: ( ) 47
55 9.3 ColorWave 48
56 9.4 Mono project Product Redmine 49
57 10 3 ColorWave 50
58 (IPLAB) 51
59 [1] Wolfgang Aigner, Silvia Miksch, Wolfgang Müller, Heidrun Schumann, and Christian Tominski. Visual methods for analyzing time-oriented data. IEEE Transactions on Visualization and Computer Graphics, 14(1):47 60, [2] Jin Chen, Alan M. MacEachren, and Donna J. Peuquet. Constructing overview + detail dendrogram-matrix views. IEEE Transactions on Visualization and Computer Graphics, 15(6): , [3] Jason B. Ellis, Shahtab Wahid, Catalina Danis, and Wendy A. Kellogg. Task and social visualization in software development: evaluation of a prototype. In CHI 07: Proceedings of the SIGCHI conference on Human factors in computing systems, pages , New York, NY, USA, ACM. [4] Michael Fischer and Harald Gall. Mds-views: Visualizing problem report data of large scale software using multidimensional scaling. In Proceedings of the International Workshop on Evolution of Large-scale Industrial Software Applications (ELISA), September [5] Jerome Kelli. Inside Out: Microsoft in Our Own Words. Diane Pub Co, [6] Chris Muelder, Francois Gygi, and Kwan-Liu Ma. Visual analysis of inter-process communication for large-scale parallel computing. IEEE Transactions on Visualization and Computer Graphics, 15(6): , [7] Ben Shneiderman. Extreme visualization: squeezing a billion records into a million pixels. In SIGMOD 08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pages 3 12, New York, NY, USA, ACM. [8] Margaret-Anne D. Storey, Davor Čubranić, and Daniel M. German. On the use of visualization to support awareness of human activities in software development: a survey and a framework. In SoftVis 05: Proceedings of the 2005 ACM symposium on Software visualization, pages , New York, NY, USA, ACM. 52
GUI(Graphical User Interface) GUI CLI(Command Line Interface) GUI
24 GUI(Graphical User Interface) GUI CLI(Command Line Interface) GUI 1 1 1.1 GUI................................... 1 1.2 GUI.................... 1 1.2.1.......................... 1 1.2.2...........................
Vol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3
![Vol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3](/thumbs/41/22750638.jpg "Vol. 23 No. 4 Oct. 2006 37 2 Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3")
36 Kitchen of the Future: Kitchen of the Future Kitchen of the Future A kitchen is a place of food production, education, and communication. As it is more active place than other parts of a house, there
「産業上利用することができる発明」の審査の運用指針（案）
1 1.... 2 1.1... 2 2.... 4 2.1... 4 3.... 6 4.... 6 1 1 29 1 29 1 1 1. 2 1 1.1 (1) (2) (3) 1 (4) 2 4 1 2 2 3 4 31 12 5 7 2.2 (5) ( a ) ( b ) 1 3 2 ( c ) (6) 2. 2.1 2.1 (1) 4 ( i ) ( ii ) ( iii ) ( iv)
(a) (b) 1 JavaScript Web Web Web CGI Web Web JavaScript Web mixi facebook SNS Web URL ID Web 1 JavaScript Web 1(a) 1(b) JavaScript & Web Web Web Webji
Webjig Web 1 1 1 1 Webjig / Web Web Web Web Web / Web Webjig Web DOM Web Webjig / Web Web Webjig: a visualization tool for analyzing user behaviors in dynamic web sites Mikio Kiura, 1 Masao Ohira, 1 Hidetake
Lyra 2 2 2 X Y X Y ivis Designer Lyra ivisdesigner Lyra ivisdesigner 2 ( 1 ) ( 2 ) ( 3 ) ( 4 ) ( 5 ) (1) (2) (3) (4) (5) Iv Studio [8] 3 (5) (4) (1) (
![Lyra 2 2 2 X Y X Y ivis Designer Lyra ivisdesigner Lyra ivisdesigner 2 ( 1 ) ( 2 ) ( 3 ) ( 4 ) ( 5 ) (1) (2) (3) (4) (5) Iv Studio [8] 3 (5) (4) (1) (](/thumbs/42/23098909.jpg "Lyra 2 2 2 X Y X Y ivis Designer Lyra ivisdesigner Lyra ivisdesigner 2 ( 1 ) ( 2 ) ( 3 ) ( 4 ) ( 5 ) (1) (2) (3) (4) (5) Iv Studio [8] 3 (5) (4) (1) (")
1,a) 2,b) 2,c) 1. Web [1][2][3][4] [5] 1 2 a) [email protected] b) [email protected] c) [email protected] [6] Lyra[5] ivisdesigner[6] [7] 2 Lyra ivisdesigner c 2012 Information Processing
44 4 I (1) ( ) (10 15 ) ( 17 ) ( 3 1 ) (2)
(1) I 44 II 45 III 47 IV 52 44 4 I (1) ( ) 1945 8 9 (10 15 ) ( 17 ) ( 3 1 ) (2) 45 II 1 (3) 511 ( 451 1 ) ( ) 365 1 2 512 1 2 365 1 2 363 2 ( ) 3 ( ) ( 451 2 ( 314 1 ) ( 339 1 4 ) 337 2 3 ) 363 (4) 46
i ii i iii iv 1 3 3 10 14 17 17 18 22 23 28 29 31 36 37 39 40 43 48 59 70 75 75 77 90 95 102 107 109 110 118 125 128 130 132 134 48 43 43 51 52 61 61 64 62 124 70 58 3 10 17 29 78 82 85 102 95 109 iii
,, Web,,,,, 3 Web,,,,,,,,,, Web,, Web, Web,,,, Web,,,,,,,,,,
Web ( ) 2008 3 ,, Web,,,,, 3 Web,,,,,,,,,, Web,, Web, Web,,,, Web,,,,,,,,,, 1 1 11 2 2 3 21 3 22 4 23 5 3 6 31 6 311 7 312 7 313 8 314 9 315 10 32 10 33 11 34 12 341 12 342 13 35 13 4 15 41 15 411 15 412
(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](/thumbs/75/72066128.jpg "(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
IPSJ SIG Technical Report Vol.2013-HCI-152 No /3/13 1,a) 1,b) 2,c) / GPS Bluetooth(BT) WiFi BT WiFi 1. Bluetooth WiFi 1 / 1 2 a)
1,a) 1,b) 2,c) / GPS Bluetooth(BT) WiFi BT WiFi 1. Bluetooth WiFi 1 / 1 2 a) [email protected] b) [email protected] c) [email protected] / 2. Apple iphoto Google Picasa GPS GPS GPS [1][2]
3.1 Thalmic Lab Myo * Bluetooth PC Myo 8 RMS RMS t RMS(t) i (i = 1, 2,, 8) 8 SVM libsvm *2 ν-svm 1 Myo 2 8 RMS 3.2 Myo (Root
1,a) 2 2 1. 1 College of Information Science, School of Informatics, University of Tsukuba 2 Faculty of Engineering, Information and Systems, University of Tsukuba a) [email protected] 2.
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
1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +
![1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +](/thumbs/81/83701592.jpg "1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +")
3 3D 1,a) 1 1 Kinect (X, Y) 3D 3D 1. 2010 Microsoft Kinect for Windows SDK( (Kinect) SDK ) 3D [1], [2] [3] [4] [5] [10] 30fps [10] 3 Kinect 3 Kinect Kinect for Windows SDK 3 Microsoft 3 Kinect for Windows
Vol. 28 No. 2 Apr. 2011 173 1. 1 Web Twitter/Facebook UI 4 1. 2. 3. 4. Twitter Web Twitter/Facebook e.g., Web Web UI 1 2 SNS 1, 2 2
172 SNS Web Web As social web sites such as blog and SNS(Social Network System) became popular, many people have communicated with their friends on the Web. Meanwhile, several problems of social web sites
,.,.,,.,. X Y..,,., [1].,,,.,,.. HCI,,,,,,, i
![,.,.,,.,. X Y..,,., [1].,,,.,,.. HCI,,,,,,, i](/thumbs/51/27619178.jpg ",.,.,,.,. X Y..,,., [1].,,,.,,.. HCI,,,,,,, i")
23 Experimental investigation of Natural Use Profiles of Pen Pressure, Tilt and Azimuth 1120230 2012 3 1 ,.,.,,.,. X Y..,,., [1].,,,.,,.. HCI,,,,,,, i Abstract Experimental investigation of Natural Use
23
Master's Thesis / 修 士 論 文 映 像 配 信 の 中 断 から 復 旧 までの 時 間 を 短 縮 するネットワーク 再 構 築 手 法 の 改 良 隅 田, 貴 久 三 重 大 学, 2011. 三 重 大 学 大 学 院 地 域 イノベーション 学 研 究 科 博 士 前 期 課 程 地 域 イノベーション 学 専 攻 http://hdl.handle.net/10076/12400
. IDE JIVE[1][] Eclipse Java ( 1) Java Platform Debugger Architecture [5] 3. Eclipse GUI JIVE 3.1 Eclipse ( ) 1 JIVE Java [3] IDE c 016 Information Pr
![. IDE JIVE[1][] Eclipse Java ( 1) Java Platform Debugger Architecture [5] 3. Eclipse GUI JIVE 3.1 Eclipse ( ) 1 JIVE Java [3] IDE c 016 Information Pr](/thumbs/88/115750650.jpg ". IDE JIVE[1][] Eclipse Java ( 1) Java Platform Debugger Architecture [5] 3. Eclipse GUI JIVE 3.1 Eclipse ( ) 1 JIVE Java [3] IDE c 016 Information Pr")
Eclipse 1,a) 1,b) 1,c) ( IDE) IDE Graphical User Interface( GUI) GUI GUI IDE View Eclipse Development of Eclipse Plug-in to present an Object Diagram to Debug Environment Kubota Yoshihiko 1,a) Yamazaki
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
2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( )
![2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( )](/thumbs/78/78162263.jpg "2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( )")
1,a) 2 4 WC C WC C Grading Student programs for visualizing progress in classroom Naito Hiroshi 1,a) Saito Takashi 2 Abstract: To grade student programs in Computer-Aided Assessment system, we propose
理工ジャーナル ２３‐１☆／１．外村
Yoshinobu TONOMURA Professor, Department of Media Informatics 1 10 YouTube 2 1900 100 1 3 2 3 3 3 1 2 3 4 90 1 90 MIT Project Athena 1983 1991 2 3 4 5 6 7 8 9 10 2 90 11 12 7 13 14 15 16 17 18 19 390 5
JP1/Integrated Management - Service Support 操作ガイド
JP1 Version 9 JP1/Integrated Management - Service Support 3020-3-R92-10 P-242C-8F94 JP1/Integrated Management - Service Support 09-50 OS Windows Server 2008 Windows Server 2003 OS JP1/Integrated Management
IPSJ SIG Technical Report Vol.2010-GN-74 No /1/ , 3 Disaster Training Supporting System Based on Electronic Triage HIROAKI KOJIMA, 1 KU
1 2 2 1, 3 Disaster Training Supporting System Based on Electronic Triage HIROAKI KOJIMA, 1 KUNIAKI SUSEKI, 2 KENTARO NAGAHASHI 2 and KEN-ICHI OKADA 1, 3 When there are a lot of injured people at a large-scale
<4D6963726F736F667420576F7264202D2088E293608E71836C83628367838F815B834E89C28E8B89BB2E646F63>
西 山 慧 子 * 伊 藤 貴 之 ** (*) お 茶 の 水 女 子 大 学 大 学 院 人 間 文 化 研 究 科 (**) お 茶 の 水 女 子 大 学 理 学 部 情 報 科 学 科 E-mail : {nishy, itot}@itol.is.ocha.ac.jp 1. NA [1] A B C E F B,E 1 A, 1 A,B,E B E C,F 1 1 A 2 3 C,F A
CASP 5 2 3 4 5 2. WildCAT WildCAT Java CASP CASP XML Context Query API CASP 1 Fig. 1 Outline Of Framework WildCAT CASP 3. 1.,,,.,
1 2 3 3 4 5,, Proposal of Application Framework Synchronized with Portable Sensing Devices Akinori Sakamoto, 1 Kazuki Sakamoto, 2 Takaaki Myoujou, 3 Masahiro Ichikawa, 3 Ismail Arai 4 and Nobuhiko Nishio
([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss
![([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss](/thumbs/39/20461999.jpg "([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss")
DEIM Forum 2016 H6-3 SuperSQL CSS 223 8522 3-14-1 E-mail: {ryosuke,goto}@db.ics.keio.ac.jp, [email protected] SuperSQL, SQL. SuperSQL HTML, PHP,,,, SuperSQL Web, CSS 1. SQL, SuperSQL, CSS SuperSQL,
,,.,,., II,,,.,,.,.,,,.,,,.,, II i
12 Load Dispersion Methods in Thin Client Systems 1010405 2001 2 5 ,,.,,., II,,,.,,.,.,,,.,,,.,, II i Abstract Load Dispersion Methods in Thin Client Systems Noritaka TAKEUCHI Server Based Computing by
Wikipedia YahooQA MAD 4)5) MAD Web 6) 3. YAMAHA 7) 8) 2 3 4 5 6 2. Vocaloid2 2006 1 PV 2009 1 1100 200 YouTube 1 minato minato ussy 3D MAD F EDis ussy
1, 2 3 1, 2 Web Fischer Social Creativity 1) Social Creativity CG Network Analysis of an Emergent Massively Collaborative Creation Community Masahiro Hamasaki, 1, 2 Hideaki Takeda 3 and Takuichi Nishimura
スパコンに通じる並列プログラミングの基礎
2016.06.06 2016.06.06 1 / 60 2016.06.06 2 / 60 Windows, Mac Unix 0444-J 2016.06.06 3 / 60 Part I Unix GUI CUI: Unix, Windows, Mac OS Part II 0444-J 2016.06.06 4 / 60 ( : ) 6 6 ( ) 6 10 6 16 SX-ACE 6 17
i
14 i ii iii iv v vi 14 13 86 13 12 28 14 16 14 15 31 (1) 13 12 28 20 (2) (3) 2 (4) (5) 14 14 50 48 3 11 11 22 14 15 10 14 20 21 20 (1) 14 (2) 14 4 (3) (4) (5) 12 12 (6) 14 15 5 6 7 8 9 10 7
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
2 3, 4, 5 6 2. [1] [2] [3]., [4], () [3], [5]. Mel Frequency Cepstral Coefficients (MFCC) [9] Logan [4] MFCC MFCC Flexer [10] Bogdanov2010 [3] [14],,,
![2 3, 4, 5 6 2. [1] [2] [3]., [4], () [3], [5]. Mel Frequency Cepstral Coefficients (MFCC) [9] Logan [4] MFCC MFCC Flexer [10] Bogdanov2010 [3] [14],,,](/thumbs/40/20501376.jpg "2 3, 4, 5 6 2. [1] [2] [3]., [4], () [3], [5]. Mel Frequency Cepstral Coefficients (MFCC) [9] Logan [4] MFCC MFCC Flexer [10] Bogdanov2010 [3] [14],,,")
DEIM Forum 2016 E1-4 525-8577 1 1-1 E-mail: [email protected], [email protected], [email protected] 373 1.,, itunes Store 1, Web,., 4,300., [1], [2] [3],,, [4], ( ) [3], [5].,,.,,,,
SketchPoint Pie-Menu On/Off 3 Pie-Menu 8 6 On/Off 8 5 2 SketchPoint i
15 1040328 2004 2 27 SketchPoint Pie-Menu On/Off 3 Pie-Menu 8 6 On/Off 8 5 2 SketchPoint i Abstract SketchPoint is a system for creating the memorandum in case of the pen-input situation or informal presentation.
The Japanese Journal of Health Psychology, 29(S): (2017)
Journal of Health Psychology Research 2017, Vol. 29, Special issue, 139 149Journal of Health Psychology Research 2016, J-STAGE Vol. Advance 29, Special publication issue, 139 149 date : 5 December, 2016
3 2 2 (1) (2) (3) (4) 4 4 AdaBoost 2. [11] Onishi&Yoda [8] Iwashita&Stoica [5] 4 [3] 3. 3 (1) (2) (3)
![3 2 2 (1) (2) (3) (4) 4 4 AdaBoost 2. [11] Onishi&Yoda [8] Iwashita&Stoica [5] 4 [3] 3. 3 (1) (2) (3)](/thumbs/68/59204737.jpg "3 2 2 (1) (2) (3) (4) 4 4 AdaBoost 2. [11] Onishi&Yoda [8] Iwashita&Stoica [5] 4 [3] 3. 3 (1) (2) (3)")
(MIRU2012) 2012 8 820-8502 680-4 E-mail: {d kouno,shimada,endo}@pluto.ai.kyutech.ac.jp (1) (2) (3) (4) 4 AdaBoost 1. Kanade [6] CLAFIC [12] EigenFace [10] 1 1 2 1 [7] 3 2 2 (1) (2) (3) (4) 4 4 AdaBoost
「hoge」
ICS-06M-404 255 1 7 1.1................................... 7 1.1.1........................... 7 1.1.2........................ 8 1.1.3............................ 9 1.2..................................
kut-paper-template.dvi
26 Discrimination of abnormal breath sound by using the features of breath sound 1150313 ,,,,,,,,,,,,, i Abstract Discrimination of abnormal breath sound by using the features of breath sound SATO Ryo
たのしいプログラミング Pythonではじめよう！
Title of English-language original: Python for Kids A Playful Introduction to Programming ISBN 978-1-59327-407-8, published by No Starch Press, Inc. Copyright 2013 by Jason R. Briggs. Japanese-language
IPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe
1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Speech Visualization System Based on Augmented Reality Yuichiro Nagano 1 and Takashi Yoshino 2 As the spread of the Augmented Reality(AR) technology and service,
fiš„v8.dvi
(2001) 49 2 333 343 Java Jasp 1 2 3 4 2001 4 13 2001 9 17 Java Jasp (JAva based Statistical Processor) Jasp Jasp. Java. 1. Jasp CPU 1 106 8569 4 6 7; [email protected] 2 106 8569 4 6 7; [email protected]
( )
NAIST-IS-MT1051071 2012 3 16 ( ) Pustejovsky 2 2,,,,,,, NAIST-IS- MT1051071, 2012 3 16. i Automatic Acquisition of Qualia Structure of Generative Lexicon in Japanese Using Learning to Rank Takahiro Tsuneyoshi
