進化的計算手法を用いた建築計画に関する研究
|
|
|
- えつと ぜんじゅう
- 5 years ago
- Views:
Transcription
1 A Study of Architectural Planning Using Evolutionary Computing Methods Makoto Inoue
2 EC L EMO IEC
3 1. 2. EC EMO MOGA EMO 3 EMO IEC EC EMO MOGA EMO
4 Abstract Architectural (spatial) planning problems are how necessary rooms (subspaces) are arranged within a planning area or how the subspaces are ordered by dividing the area. The experience, the skill, and the sense, etc. are needed so that planners may hold the space plan because there are a lot of plan requirements and conditions in this space plan according to the objects. The purpose of this research is to propose it concerning the architectural plan, especially the (room layouts) plans by using Evolutionary Computation (EC) methods, and the use possibility to actual architectural plans is shown by the experiments and consideration. It is general that the purposes extend to many in the space plan fields including Architecture. Evolutionary Multi-objective Optimization (EMO) methods might be used as a technology that optimizes multi-objective. However, there is too no research that uses this EMO in the space plan fields. In addition, there is no spatial planning support system that combines EMO with Interactive Evolutionary Computation (IEC) yet. Architectural planning (support) system that uses EC methods of the proposal consists of the optimization part with spatial layout planning generation part. The spatial layout planning generation part consists of the space generation algorithm and the growth rules, generates the architectural room layout plans. The optimization part consists of EMO to optimize multi-objective under restrictions of specifications, and IEC for planning that fills difficult objectives to quantify like experience, knowledge, and sensibility, etc... This research shows a proposal of the new method that makes the spatial layout plans, the made room layout plans should be able to be optimized by EC methods by applying this technique to the architectural room plan making, and the spatial generation algorithm and the growth rule proposes by the experiment can be applied to the spatial planning support system. The original matter that is accomplished by this research is brought together as follows. It made and it proposed the spatial generation algorithm and the rule that were able to be optimized for architectural planning by EC, EMO has been adjusted to be suitable for the architectural planning problem of setting it this time, and the introduction of the IEC method was tried to EMO as the interactive
5 EMO and a useful verification was done about the how to combine. Moreover, it can be said that the one of this study proposal reached at the level that can be used for the spatial planning support system though the restriction had been accompanied in the space plan up to now.
6 i
7 EMO IEC ii
8 iii
9 1 1
10 : VIA Nano Processor[66] 2
![1.2: [28] 1.1.2 (a) [43, 44, 45, 48] 2.](/docs-images/87/97191163/images/11-0.jpg "2 1. 2. 3. 4. 5. L 6. (b) 3")
11 1.2: [28] (a) [43, 44, 45, 48] L 6. (b) 3
12 [64] [62] (c) 5 [23] [42] 4
13 (a) (b) (c) (d) EC 2. EC EMO 3. EMO IEC 5
14
15 1.3 3 EMO IEC [61] IEC 1.3 IEC 1.3: 7
16 EC EMO 4. GUI EC 5. EMO EC EMO EC
17 EMO IEC EMO IEC EMO 6 6 IEC EMO
18 1.4: 10
19 2 11
20 [60] [1, 50, 51] p p n d(p,p n ) p i V (p i ) [51] VLSI V (p i ) = {p d(p, p i ) d(p, p j ), j i} (2.1) 12
21 2.1: EMO EC [14, 27, 60] EMO EC EC EMO EMO EMO [5, 55] 1985 Vector Evaluated Genetic Algorithm VEGA [57] Schaffer Goldberg [13] Fonseca Multi-Objective Genetic Algorithm MOGA [7] [4, 52] Non-dominated Sorting Genetic Algorithm-II ( NSGA-II ) [6] EMO EMO MOGA EMO MOGA 13
22 MOGA [5] MOGA EMO EC Vilfredo Federico Damaso Pareto( ) f 1,..., f p X, f i (x) f i (x ) i = 1,..., p (2.2) f i (x) < f i (x ) i {1,..., p} (2.3) x X [46]. Fonseca MOGA i r i i n i r i = 1 + n i (2.4) 14
23 2.2: Fonseca [7] A H f 1 f 2 EMO MOGA MOGA i j d ij 2.5 fk max fk min k d ij d ij = M ( f (i) k k=1 fk max f (j) k f min k ) 2 (2.5) i σ share k d ik
24 Sh(d ik ) 2.6 { 1 d ik σ Sh(d ik ) = share (d ik σ share ) 0 ( ) (2.6) Sh(d ik ) r i µ(r i ) nc i 2.7 nc i = µ(r i ) j=1 Sh(d ij ) (2.7) i N i 2.8 i r i 1 F i = N µ(k) 0.5(µ(r i ) 1) (2.8) k=1 F i nc j 2.9 F j = F j /nc j (2.9) 2.10 F i F j F jµ (r) F µ(r) j (2.10) k=1 F k F i EC EMO EMO 4 6 [23, 24] [23, 24, 71] 16
25 2.1.4 [60, 61] EC 2.3: 17
26 2.2 [12, 16, 37] [19] [33] [67, 68] [63] 2 2 [22] 2.4 EC 18
27 2.4: 2 L L1 L2 [38] [15, 43, 44, 48] [35] 19
28 [42] [10] Kozminski [30] L [31] [62] 1 20
29 [54] [59] [21] [25] [64]
30 [20] 1 1 [53] EC [34] VLSI LSI [41] [49] [58] [65] LSI 22
31 EMO IEC [26] EMO IEC EC [3] IGA IGA [56] [2] GA 23
32 3 24
33 [38] EC 1. m n
34 : L K W B [51] growth model [51] [51] 26
35 Karlsruhe n (=1, 2, 3, or 4) 27
36 :. L 28
37 3.1.3 Problem Analysis Diagram PAD [11] 3.3 L 29
38 3.3: PAD EMO 3.1 [(6,5),(3,7),(2,3),(8,7)],
39 3.4:. 31
40 3.2 [22] 1.3 L :. 1m
41 3.6:. 3.7 L : n W K L 3.8 L [22] 33
42 3.8: m 3.10 L 34
43 3.9: : EC = ( ) 35
44 2. 7 7= [38] 49, =49 ( 6 C ( 6 C 2 6 C 1 ) 18 + ( 6 C 1 6 C 1 6 C 1 ) 2 ( 6 C 1 6 C 1 )) 4! =49, = P 4 = = 5, 085, !=24 122,040, ,040, : : 4 49 [38] 49, ,040,576 36
45 3.3 1m 1m m 7m 12m 7m : WEB (SI) [28] 1,000mm (910mm ) 1m 7m 7m 7m 7m [29, 70] 7m 7m 12m 7m 37
46 7m 7m 2 2m
47 4 39
48 [7] 3. [5] EC 40
49 4.2 4 EMO IEC 7 4 [62] IEC 1 49 m 2 =16m 2 =12m 2 =9m 2 =12m 2 i a i â i f 1 i (a i ) 4.1 ±10% [29, 70] 4 f 1 = 4 i=1 f 1 i (a i ) 41
50 4.1: 1 i â i a i i / r i f 2 i (r i ) 4.2 r i 1(1:1) 0.5(1:2) [29, 70] [62] 2 g 2 i ( a i )/( i ) L g 2 i 3 w i =0.75 =0.50 =0.10 =1.00 f 2 = 4 i=1 (w i f 2 i (r i ) g 2 i ) 42
51 4.2: 2 i r i or or or or 43
52 4 1/7 1m 2 /m 2m 2 /m 1/ f 4 4.3: 4 i a i w i 5 4 EMO EMO 44
53 IEC 7 45
54 m 7m 49m INRIA Scilab : % 100% share (49)/4 1.3 IEC EMO 21 [22] 46
55 4 6 EMO Multi Objective Genetic Algorithm (MOGA) [7] MOGA [5] MOGA [7] EC EC (a) 4.4: Obj 47
56 Obj4 Sunlighting Obj3 Circulation 0.7 Fitness Obj2 Proportion Obj1 Area Size Generations 4.5: 10 4 Obj1= Obj2= Obj3= Obj4= MOGA 2 d MOGA d d 1 share ( 49)/ EMO 48
57 4.6: 1 (B)= (W)= (K)= (L)= B,W,K,L (a) (a)
58 (a) 4 (b) 6 4.7: (b) 4 Obj1 Obj2 4.8(a) 6 4.8(b)
59 Obj4 Sunlighting Obj3 Circulation Obj2 Proportion Obj1 Area Size Fitness Generations (a) Obj4 Sunlighting Obj3 Circulation 0.7 Fitness Obj2 Proportion Obj1 Area Size Obj5 Wall Obj6 Duct Generations (b) 6 4.8: 10 Obj1= Obj2= Obj3= Obj4= Obj5= Obj6= 51
60 Objectives Fitness Obj1 Area Size Obj4 Sunlighting Obj2 Proportion Obj5 Wall Obj3 Circulation Obj6 Duct Generation 4.9: Obj1= Obj2= Obj3= Obj4= Obj5= Obj6= (a) IEC 21 EC IEC IEC 52
61 [18, 32, 36, 47] IEC IEC 6 EC 4.8(b) [23] IEC 53
62 m 2 =20m 2 =16m 2 1=12m 2 2=12m 2 3=12m 2 =9m 2 =1m 2 82m 2 i a i â i f 1 i (a i ) f 1 = 7 i=1 f 1 i (a i ) ) i / r i f 2 i (r i ) g 2 i ( a i)/( i ) 3 w i =0.75 = =1.00 =0.25 = =0.10 f 2 = 7 i=1 (w i f 2 i (r i ) g 2 i )
63 7 1 ( or or ) ( or or ) 1 ( or or ) 1 ( or or ) 2 ( or or ) 2 ( or or ) 3 ( or or ) 3 ( or or ) ( or or ) ( or or ) ( or or ) ( or or ) ( ) and ( ) ( ) and ( ) ( ) and ( )
64
65 m 7m 84m EMO (a) (a) (b) (b)
66 4.10: (L)= (K)= (B)= (W)= ( )= ( )= L K B W 58
67 (a) 4 (b) :
68 4 Objectives Fitness Generation (a) 4 Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting 6 Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Obj5 Wall Obj6 Duct Generation (b) : 10 Obj1= Obj2= Obj3= Obj4= Obj5= Obj6= 60
69
70 L L K m
71 : EC (b)
72 Scilab Dell Pentium 4 CPU 3.2GHz 3.19GHz, RAM 1GB,OS Microsoft Windows XP SP2 6 Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Obj5 Wall Obj6 Duct Generation 4.14: Obj1= Obj2= Obj3= Obj4= Obj5= Obj6= 64
73 5 65
74 5.1 4 IEC IEC IEC EMO IEC EMO [3, 26] IEC EMO 66
75 EMO IEC EMO IEC EMO MOGA IEC EMO IEC 2 2 IEC EMO 1 EMO IEC EMO IEC [26] IEC IEC EMO
76 5 EC GA [39] Micro Electro Mechanical Systems MEMS [17] EC m 7m 84m =20m 2 =15m 2 1 3= 12m 2 =9m 2 =4m 2 1= = = = = =
77 5.1: 2 = = = 1 3 = = 69
78 (a) (b) 5.2:
79 (a) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation (b) :
80 (a) (a) 5.5(b) 5.4:
81 (a) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation (b) :
82 (a) 5.7(b) 4 5.6:
83 (a) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation (b) :
84 (a) 5.9(b) 4 5.8:
85 (a) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation (b) :
86 (a) (b) 5.11(a) :
87 (a) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation (b) :
88 :
89 (a) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation (b) :
90
91 MOGA
92 (b) Objectives Fitness Obj1 Area Size Obj2 Proportion Obj3 Circulation Obj4 Sunlighting Generation 5.14:
93 6 85
94 EMO 20 IEC 5 4 7m 7m=49m [26]
95 5 7 PC GUI GUI Generation
96 6.1: GUI 6.2: 2 /3 Visual Studio C++ 88
97 A B A, B RC 49m 2 1 1m 2 1m 1m 89
98 LR DK BR 2D/3D 2D/3D 10 LR=16m 2 DK=12m 2 =9m 2 BR=12m 2 1/7 1m 2 / 2m 2 / DK LR
99 A B
100 : (b) (b) 92
101 (a) 1 (b) 2 6.4:
102 (a) 1 (b) 2 6.5: A B
103 B B B 95
104 6.1: (1) (2) (3) (4) (5) (1) (2) (3) (4) (5) (1) (2) (3) (4) (5) (1) (2) (3) (4) (5) (1) (2) (3) (4) (5)
105 6.2: 2 (1) A, (2) A, (3), (4) B, (5) B
106 6.6: 1 98
107 6.7: 2 99
108 6.8: 3 100
109 BR 1 LR LR DK LD 1 DK LR DK 2. BR. 1 1 BR, 1 101
110 1 LR DK LR D 3D 2D 3D 1 2D 2D 7 3D 3 1 2D 1 3D 1 102
111 2D 3D 1 1 3D 1 DR LR 1 BR D 1 5,4,3,2,
112 B
113 (b) (b)
114 B B 2 5 2D 3D 2D 2D 106
115 5 EMO 5 GUI 107
116 7 108
117 MOGA IEC 21 EC MOGA EMO
118 4 6 IEC IEC EMO EMO EMO IEC 5 EMO 110
119 5 GUI VLSI
120 8 112
121 EMO EMO IEC EMO MOGA 4 EMO IEC IEC EMO 3 113
122 [69] MOGA [8, 9, 40] 114
123 PD 21 COE
124 [1]. :., [2] Oliver Bandte. Short communication: A broad and narrow approach to interactive evolutionary design-an aircraft design example. Appl. Soft Comput., Vol. 9, No. 1, pp , [3] A. M. Brintrup, H. Takagi, A. T., and J. J. Ramsden. Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. J. of Biological Physics and Chemistry, Vol. 6, pp , [4] Carlos A. Coello Coello. An updated survey of evolutionary multiobjective optimization techniques: State of the art and future trends. In Peter J. Angeline, Zbyszek Michalewicz, Marc Schoenauer, Xin Yao, and Ali Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, Vol. 1, pp. 3 13, Mayflower Hotel, Washington D.C., USA, IEEE Press. [5] Kalyanmoy Deb. Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons Inc., Chichester, [6] Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, and T Meyarivan. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii. pp Springer, [7] C. Fonseca and P. Fleming. Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. In Proceedings of the 5th International Conference on Genetic Algorithms (ICGA 93), pp , Urbane/Champaign, IL, USA, July
125 [8],,. -., Vol. 49, No. 4, pp , [9].., Vol. 123, No. 1583, pp , 2008/12. [10],,... C, Vol. 60, No. 579, pp , [11],,,. PAD (Problem Analysis Diagram)., Vol. 21, No. 4, pp , [12] A. Garrett, B. Carnahan, R. Muhdi, J. Davis, G. Dozier, M.P. SanSoucie, P.V. Hull, and M.L. Tinker. Evacuation planning via evolutionary computation. Evolutionary Computation, CEC IEEE Congress on, pp , [13] David E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, [14]. :., [15],,,,. 23., [16] S. Hashimoto, K. Haruyama, T. Nakamura, T. Nakajima, and Y. Osana. Office layout support system using island model genetic algorithm. Evolutionary Computation, The 2005 IEEE Congress on, Vol. 1, pp Vol.1, Sept [17] S. Henmi, S. Iwashita, and H. Takagi. Interactive evolutionary computation with evaluation characteristics of multi-iec users. Systems, Man and Cybernetics, SMC 06. IEEE International Conference on, Vol. 4, pp , Oct
126 [18] Shinya Henmi, Sino Iwashita, and Hideyuki Takagi. Interactive evolutionary computation with evaluation characteristics of multi-iec users. In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC2006), pp , Taipei, Taiwan, October IEEE. [19],,... HI,, Vol. 95, No. 70, pp , [20], (, ).. A-2,,,, Vol. 2007, pp , [21],,.., pp , October [22] Makoto Inoue and Hideyuki Takagi. Layout algorithm for an ec-based room layout planning support system. In IEEE Conference on Soft Computing in Industrial Applications (SMCia/08 ). IEEE, June [23],, , pp ,,, [24] Hisao Ishibuchi, Noritaka Tsukamoto, and Yusuke Nojima. Evolutionary many-objective optimization: A short review. Evolutionary Computation, CEC (IEEE World Congress on Computational Intelligence). IEEE Congress on, pp , June [25] Jun H. Jo and John S. Gero. Space layout planning using an evolutionary approach. Artificial Intelligence in Engineering, Vol. 12, pp , [26] R. Kamalian, Ying Zhang, H. Takagi, and A.M. Agogino. Reduced human fatigue interactive evolutionary computation for micromachine design. Machine Learning and Cybernetics, Proceedings of 2005 International Conference on, Vol. 9, pp Vol. 9, Aug [27]..,
127 [28]. : [29]. (1 )., [30] Krzysztof Kozminski and Edwin Kinnen. An algorithm for finding a rectangular dual of a planar graph for use in area planning for vlsi integrated circuits. In DAC 84: Proceedings of the 21st conference on Design automation, pp , Piscataway, NJ, USA, IEEE Press. [31],. (2005 ) ( )., Vol. 2005, pp , [32] Azahar Machwe and Ian C. Parmee. Integrating aesthetic criteria with evolutionary processes in complex, free-form design? an initial investigation. In Proceedings of IEEE Congress on Evolutionary Computation (CEC2006), pp , Vancouver, BC, Canada, June [33].., pp , [34] Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, and Iain MacKenzie. Applying genetic algorithms to multi-objective land use planning. In Darrell Whitley, David Goldberg, Erick Cantu-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pp , Las Vegas, Nevada, USA, July Morgan Kaufmann. [35],,. :., No. 529, pp ,
128 [36],,,. GA., Vol. 13, No. 5, pp , [37] T. Nakajima, S. Hashimoto, K. Haruyama, T. Nakamura, and Y. Osana. Office layout support system using interactive genetic algorithm. Evolutionary Computation, CEC IEEE Congress on, pp , [38] Shin-ichi Nakano. Enumerating floorplans with n rooms. IEICE Trans. on Fundamentals, Vol. E85-A, No. 7, pp , [39],. PSO. FAN, pp , [40],,.., Vol. 49, No. 4, pp , [41],,. VLSI ( LSI )., Vol. 43, No. 5, pp , [42],,,. :., [43]. :., [44]. :., [45].., [46]. - ORWiki. wiki/wiki/index.php/. [47],. EC., Vol. 13, No. 5, pp , [48]..,
129 [49],. LSI (, ).. SLDM, [ LSI ], Vol. 2005, No. 27, pp , [50],. :., [51] A. Okabe, B. Boots, K. Sugihara, and S. N. Chiu. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. John Wiley & Sons Inc., Chichester, [52] T. Okabe, Y. Jin, and B. Sendhoff. A critical survey of performance indices for multi-objective optimisation. Evolutionary Computation, CEC 03. The 2003 Congress on, Vol. 2, pp Vol.2, Dec [53] M. A Rosenman and J. S. Gero. Evolutionary Design by Computers, chapter 15. Evolving designs by generating useful complex gene structures, pp Morgan Kaufmann, San Francisco, [54],,,.., No. 577, pp , [55],,,.., [56] M. Sathe, G. Rudolph, and K. Deb. Design and validation of a hybrid interactive reference point method for multi-objective optimization. Evolutionary Computation, CEC (IEEE World Congress on Computational Intelligence). IEEE Congress on, pp , June [57] J. D. Schaffer. Multiple objective optimization with vector evaluated genetic algorithms. In Proceedings of 1st International Conference on Genetic Algorithms and Their Applications, pp , [58],,,. LSI., Vol. 39, No. 3, pp ,
130 [59],,,,. 3., No. 595, pp , [60],,. :., [61] Hideyuki Takagi. Interactive evolutionary computation: Fusion of the capabilities of ec optimization and human evaluation. Proceedings of the IEEE, Vol. 89, pp , [62],,.. 30, pp. 7 12,, [63], , Vol. 12, pp , [64],,,,,,.., No. 611, pp , [65],,,. LSI ( )., Vol. 34, No. 2, pp , [66] VIA Technologies Inc. VIA Nano Processor, Introductory White Paper. Nano.pdf, [67] Heyong Wang, Kang Hu, Jing Liu, and Licheng Jiao. Multiagent evolutionary algorithm for floorplanning using moving block sequence. Evolutionary Computation, CEC IEEE Congress on, pp , Sept
131 [68],,. ( ).. D-I,, I-, Vol. 86, No. 11, pp , [69] D.H. Wolpert and W.G. Macready. No free lunch theorems for search. Technical Report SFI-TR , Santa Fe, NM, [70].., [71] Xiufen Zou, Yu Chen, Minzhong Liu, and Lishan Kang. A new evolutionary algorithm for solving many-objective optimization problems. Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 38, No. 5, pp , Oct
132 1.,,,, 24 1, pp ( ). 1. Makoto Inoue and Hideyuki Takagi, Layout Algorithm for an EC-based Room Layout Planning Support System, IEEE Conference on Soft Computing in Industrial Applications (SMCia/08), Muroran, Hokkaido, Japan, pp (June 25-27, 2008). 1.,,, D-8-29, p.137 ( ). 2.,, 6, 31,, pp ( ). 124
133 A A B B 2D 3D 125
soturon.dvi
12 Exploration Method of Various Routes with Genetic Algorithm 1010369 2001 2 5 ( Genetic Algorithm: GA ) GA 2 3 Dijkstra Dijkstra i Abstract Exploration Method of Various Routes with Genetic Algorithm
1 [1, 2, 3, 4, 5, 8, 9, 10, 12, 15] The Boston Public Schools system, BPS (Deferred Acceptance system, DA) (Top Trading Cycles system, TTC) cf. [13] [
![1 [1, 2, 3, 4, 5, 8, 9, 10, 12, 15] The Boston Public Schools system, BPS (Deferred Acceptance system, DA) (Top Trading Cycles system, TTC) cf. [13] [](/thumbs/91/106628466.jpg "1 [1, 2, 3, 4, 5, 8, 9, 10, 12, 15] The Boston Public Schools system, BPS (Deferred Acceptance system, DA) (Top Trading Cycles system, TTC) cf. [13] [")
Vol.2, No.x, April 2015, pp.xx-xx ISSN xxxx-xxxx 2015 4 30 2015 5 25 253-8550 1100 Tel 0467-53-2111( ) Fax 0467-54-3734 http://www.bunkyo.ac.jp/faculty/business/ 1 [1, 2, 3, 4, 5, 8, 9, 10, 12, 15] The
A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi
A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi ODA Department of Human and Mechanical Systems Engineering,
Web Web Web Web Web, i
22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity
(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
4.1 % 7.5 %
2018 (412837) 4.1 % 7.5 % Abstract Recently, various methods for improving computial performance have been proposed. One of these various methods is Multi-core. Multi-core can execute processes in parallel
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
johnny-paper2nd.dvi
13 The Rational Trading by Using Economic Fundamentals AOSHIMA Kentaro 14 2 26 ( ) : : : The Rational Trading by Using Economic Fundamentals AOSHIMA Kentaro abstract: Recently Artificial Markets on which
7,, i
23 Research of the authentication method on the two dimensional code 1145111 2012 2 13 7,, i Abstract Research of the authentication method on the two dimensional code Karita Koichiro Recently, the two
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
17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System
1. (1) ( MMI ) 2. 3. MMI Personal Computer(PC) MMI PC 1 1 2 (%) (%) 100.0 95.2 100.0 80.1 2 % 31.3% 2 PC (3 ) (2) MMI 2 ( ),,,, 49,,p531-532,2005 ( ),,,,,2005,p66-p67,2005 17 Proposal of an Algorithm of
149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :
![149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :](/thumbs/92/109497872.jpg "149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :")
Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
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; fuji@ism.ac.jp 2 106 8569 4 6 7; nakanoj@ism.ac.jp
(a) Picking up of six components (b) Picking up of three simultaneously. components simultaneously. Fig. 2 An example of the simultaneous pickup. 6 /
*1 *1 *1 *2 *2 Optimization of Printed Circuit Board Assembly Prioritizing Simultaneous Pickup in a Placement Machine Toru TSUCHIYA *3, Atsushi YAMASHITA, Toru KANEKO, Yasuhiro KANEKO and Hirokatsu MURAMATSU
26 Development of Learning Support System for Fixation of Basketball Shoot Form
26 Development of Learning Support System for Fixation of Basketball Shoot Form 1175094 ,.,,.,,.,,.,,,.,,,,.,,,.,,,,, Kinect i Abstract Development of Learning Support System for Fixation of Basketball
<82E682B15F96702E696E6464>
A Study on The Space Composition of Traditional Houses and Village of Okinawa Island PARK Chanpil This paper is the investigation for village and traditional houses in Okinawa Island. The purpose of this
Web Basic Web SAS-2 Web SAS-2 i
19 Development of moving image delivery system for elementary school 1080337 2008 3 10 Web Basic Web SAS-2 Web SAS-2 i Abstract Development of moving image delivery system for elementary school Ayuko INOUE
Fourier Niching Approach for Multi-modal Optimization 2 Yan Pei Hideyuki Takagi 2 Graduate School of Design, Kyushu University 2 2 Faculty of Design,
九州大学学術情報リポジトリ Kyushu University Institutional Repository 多峰性最適化のためのフーリエ ニッチ法 裴, 岩九州大学大学院芸術工学府 高木, 英行九州大学大学院芸術工学研究院 Pei, Yan Graduate School of Design, Kyushu University Takagi, Hideyuki Faculty of Design,
,,, 2 ( ), $[2, 4]$, $[21, 25]$, $V$,, 31, 2, $V$, $V$ $V$, 2, (b) $-$,,, (1) : (2) : (3) : $r$ $R$ $r/r$, (4) : 3
![,,, 2 ( ), $[2, 4]$, $[21, 25]$, $V$,, 31, 2, $V$, $V$ $V$, 2, (b) $-$,,, (1) : (2) : (3) : $r$ $R$ $r/r$, (4) : 3](/thumbs/91/104771717.jpg ",,, 2 ( ), $[2, 4]$, $[21, 25]$, $V$,, 31, 2, $V$, $V$ $V$, 2, (b) $-$,,, (1) : (2) : (3) : $r$ $R$ $r/r$, (4) : 3")
1084 1999 124-134 124 3 1 (SUGIHARA Kokichi),,,,, 1, [5, 11, 12, 13], (2, 3 ), -,,,, 2 [5], 3,, 3, 2 2, -, 3,, 1,, 3 2,,, 3 $R$ ( ), $R$ $R$ $V$, $V$ $R$,,,, 3 2 125 1 3,,, 2 ( ), $[2, 4]$, $[21, 25]$,
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
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
Sobel Canny i
21 Edge Feature for Monochrome Image Retrieval 1100311 2010 3 1 3 3 2 2 7 200 Sobel Canny i Abstract Edge Feature for Monochrome Image Retrieval Naoto Suzue Content based image retrieval (CBIR) has been
Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey ML 11 NL
HANAOKA, Shinya 1 3 Hansen1, 2 1 2 3 Hansen 2 3 4 5 2 2.1 002 Vol.5 No.4 2003 Winter 3 4 2.2 Hansen 1 2, Skinner 5, Augustinus 6, Harvey 7 Windle 8 Pels 9 1 Skinner 5 Augustinus 6 Pels 9 NL Harvey 10 2.3
A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member
A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member (University of Tsukuba), Yasuharu Ohsawa, Member (Kobe
GPGPU
GPGPU 2013 1008 2015 1 23 Abstract In recent years, with the advance of microscope technology, the alive cells have been able to observe. On the other hand, from the standpoint of image processing, the
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
23 The Study of support narrowing down goods on electronic commerce sites
23 The Study of support narrowing down goods on electronic commerce sites 1120256 2012 3 15 i Abstract The Study of support narrowing down goods on electronic commerce sites Masaki HASHIMURA Recently,
1
5-3 Photonic Antennas and its Application to Radio-over-Fiber Wireless Communication Systems LI Keren, MATSUI Toshiaki, and IZUTSU Masayuki In this paper, we presented our recent works on development of
22SPC4報告書
Practicing Persona Method to Clarify the Target User - Investigating Utilization of a Blog Service for Communities - UCD(User-Centered Design) UCD UCD UCD () UCD Abstract User-centered design (UCD) is
23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h
23 FPGA CUDA Performance Comparison of FPGA Array with CUDA on Poisson Equation (lijiang@sekine-lab.ei.tuat.ac.jp), (kazuki@sekine-lab.ei.tuat.ac.jp), (takahashi@sekine-lab.ei.tuat.ac.jp), (tamukoh@cc.tuat.ac.jp),
& 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
卒業論文2.dvi
15 GUI A study on the system to transfer a GUI sub-picture to the enlarging viewer for operational support 1040270 2004 2 27 GUI PC PC GUI Graphical User Interface PC GUI GUI PC GUI PC PC GUI i Abstract
n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i
15 Comparison and Evaluation of Dynamic Programming and Genetic Algorithm for a Knapsack Problem 1040277 2004 2 25 n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i Abstract Comparison and
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.
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
1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15. 1. 2. 3. 16 17 18 ( ) ( 19 ( ) CG PC 20 ) I want some rice. I want some lice. 21 22 23 24 2001 9 18 3 2000 4 21 3,. 13,. Science/Technology, Design, Experiments,
SEJulyMs更新V7
1 2 ( ) Quantitative Characteristics of Software Process (Is There any Myth, Mystery or Anomaly? No Silver Bullet?) Zenya Koono and Hui Chen A process creates a product. This paper reviews various samples
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](/thumbs/93/112672153.jpg "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:
地域共同体を基盤とした渇水管理システムの持続可能性
I 1994 1994 1994 1,176 1,377 1995, p.21; 1999 Kazuki Kagohashi / 10 1 1 1991 drought water bank 2013 466-8673 18 E-mail:kagohashi@gmail.com 1 355 10 2 Kondo 2013 136 2015 spring / No.403 2 1 1994 1995,
(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](/thumbs/65/54056306.jpg "(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
[3] M.C. Escher Escher 1 Escher Escherization Problem [5] Escherization Problem S ( 1 ) T S ( 2 ) T T [5] Escherization Problem isohedral isohe
![[3] M.C. Escher Escher 1 Escher Escherization Problem [5] Escherization Problem S ( 1 ) T S ( 2 ) T T [5] Escherization Problem isohedral isohe](/thumbs/92/110970239.jpg "[3] M.C. Escher Escher 1 Escher Escherization Problem [5] Escherization Problem S ( 1 ) T S ( 2 ) T T [5] Escherization Problem isohedral isohe")
1,a) 1 1 1,b) 2 1 A Pattern Creation Support System for Escher-Like Tiling Megumi Kisanuki 1,a) Hirohumi Machii 1 Kiyomasa Sakimoto 1 Satoshi Ono 1,b) Kazunori Mizuno 2 Shigeru Nakayama 1 Abstract: This
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
2 HI LO ZDD 2 ZDD 2 HI LO 2 ( ) HI (Zero-suppress ) Zero-suppress ZDD ZDD Zero-suppress 1 ZDD abc a HI b c b Zero-suppress b ZDD ZDD 5) ZDD F 1 F = a
ZDD 1, 2 1, 2 1, 2 2 2, 1 #P- Knuth ZDD (Zero-suppressed Binary Decision Diagram) 2 ZDD ZDD ZDD Knuth Knuth ZDD ZDD Path Enumeration Algorithms Using ZDD and Their Performance Evaluations Toshiki Saitoh,
Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth
Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth and Foot Breadth Akiko Yamamoto Fukuoka Women's University,
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]](/thumbs/93/112440494.jpg "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
When creating an interactive case scenario of a problem that may occur in the educational field, it becomes especially difficult to assume a clear obj
PBL PBL Education of Teacher Training Using Interactive Case Scenario Takeo Moriwaki (Faculty of Education, Mie University) Yasuhiko Yamada (Faculty of Education, Mie University) Chikako Nezu (Faculty
1 Table 1: Identification by color of voxel Voxel Mode of expression Nothing Other 1 Orange 2 Blue 3 Yellow 4 SSL Humanoid SSL-Vision 3 3 [, 21] 8 325
![1 Table 1: Identification by color of voxel Voxel Mode of expression Nothing Other 1 Orange 2 Blue 3 Yellow 4 SSL Humanoid SSL-Vision 3 3 [, 21] 8 325](/thumbs/91/105378470.jpg "1 Table 1: Identification by color of voxel Voxel Mode of expression Nothing Other 1 Orange 2 Blue 3 Yellow 4 SSL Humanoid SSL-Vision 3 3 [, 21] 8 325")
社団法人人工知能学会 Japanese Society for Artificial Intelligence 人工知能学会研究会資料 JSAI Technical Report SIG-Challenge-B3 (5/5) RoboCup SSL Humanoid A Proposal and its Application of Color Voxel Server for RoboCup SSL
*1 *2 *1 JIS A X TEM 950 TEM JIS Development and Research of the Equipment for Conversion to Harmless Substances and Recycle of Asbe
*1 *2 *1 JIS A 14812008X TEM 950 TEM 1 2 3 4 JIS Development and Research of the Equipment for Conversion to Harmless Substances and Recycle of Asbestos with Superheated Steam Part 3 An evaluation with
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
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
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
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
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](/thumbs/79/80104027.jpg "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
Mhij =zhij... (2) Đhij {1, 2,...,lMhij}... (3)
An Autonomous Decentralized Algorithm for a Large Scale Scheduling Problem Approach Based on Backward Scheduling Ichimi Norihisa, Non-member (Toshiba Corporation), lima Hitoshi, Member, Sannomiya Nobuo,
100 SDAM SDAM Windows2000/XP 4) SDAM TIN ESDA K G G GWR SDAM GUI
30 99 112 2006 SDAM SDAM SDAM SDAM 1950 1960 1970 SPSS SAS Microsoft Excel ArcView GIS 2002 ArcExplorer 1) MANDARA 2) GIS 2000 TNTLite 3) GIS 100 SDAM SDAM Windows2000/XP 4) SDAM TIN ESDA K G G GWR SDAM
23 Study on Generation of Sudoku Problems with Fewer Clues
23 Study on Generation of Sudoku Problems with Fewer Clues 1120254 2012 3 1 9 9 21 18 i Abstract Study on Generation of Sudoku Problems with Fewer Clues Norimasa NASU Sudoku is puzzle a kind of pencil
関西福祉大学紀要 １２号（Ｐ）／１．太田
Social Work Practice and Methods for Scientific Progress Yoshihiro Ohta Abstract : Although theories and methods of social work have been progressing new ideas and ways that support social work practice
2007/8 Vol. J90 D No. 8 Stauffer [7] 2 2 I 1 I 2 2 (I 1(x),I 2(x)) 2 [13] I 2 = CI 1 (C >0) (I 1,I 2) (I 1,I 2) Field Monitoring Server
![2007/8 Vol. J90 D No. 8 Stauffer [7] 2 2 I 1 I 2 2 (I 1(x),I 2(x)) 2 [13] I 2 = CI 1 (C >0) (I 1,I 2) (I 1,I 2) Field Monitoring Server](/thumbs/91/107223763.jpg "2007/8 Vol. J90 D No. 8 Stauffer [7] 2 2 I 1 I 2 2 (I 1(x),I 2(x)) 2 [13] I 2 = CI 1 (C >0) (I 1,I 2) (I 1,I 2) Field Monitoring Server")
a) Change Detection Using Joint Intensity Histogram Yasuyo KITA a) 2 (0 255) (I 1 (x),i 2 (x)) I 2 = CI 1 (C>0) (I 1,I 2 ) (I 1,I 2 ) 2 1. [1] 2 [2] [3] [5] [6] [8] Intelligent Systems Research Institute,
29 jjencode JavaScript
Kochi University of Technology Aca Title jjencode で難読化された JavaScript の検知 Author(s) 中村, 弘亮 Citation Date of 2018-03 issue URL http://hdl.handle.net/10173/1975 Rights Text version author Kochi, JAPAN http://kutarr.lib.kochi-tech.ac.jp/dspa
2. Eades 1) Kamada-Kawai 7) Fruchterman 2) 6) ACE 8) HDE 9) Kruskal MDS 13) 11) Kruskal AGI Active Graph Interface 3) Kruskal 5) Kruskal 4) 3. Kruskal
1 2 3 A projection-based method for interactive 3D visualization of complex graphs Masanori Takami, 1 Hiroshi Hosobe 2 and Ken Wakita 3 Proposed is a new interaction technique to manipulate graph layouts
1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D
![1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D](/thumbs/91/105248386.jpg "1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D")
3DCG 1) ( ) 2) 2) 1) 2) Real-Time Line Drawing Using Image Processing and Deforming Process Together in 3DCG Takeshi Okuya 1) Katsuaki Tanaka 2) Shigekazu Sakai 2) 1) Department of Intermedia Art and Science,
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](/thumbs/92/110416683.jpg "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
形状変形による古文書画像のシームレス合成
Use of Shape Deformation to Seamlessly Stitch Historical Document Images Wei Liu Wei Fan Li Chen Sun Jun あらまし 1 2 Abstract In China, efforts are being made to preserve historical documents in the form
202
201 Presenteeism 202 203 204 Table 1. Name Elements of Work Productivity Targeted Populations Measurement items of Presenteeism (Number of Items) Reliability Validity α α 205 α ä 206 Table 2. Factors of
(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
Table 1. Assumed performance of a water electrol ysis plant. Fig. 1. Structure of a proposed power generation system utilizing waste heat from factori
Proposal and Characteristics Evaluation of a Power Generation System Utilizing Waste Heat from Factories for Load Leveling Pyong Sik Pak, Member, Takashi Arima, Non-member (Osaka University) In this paper,
1 1 tf-idf tf-idf i
14 A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles 1055104 2003 1 31 1 1 tf-idf tf-idf i Abstract A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles
IPSJ SIG Technical Report Vol.2014-GN-90 No.16 Vol.2014-CDS-9 No.16 Vol.2014-DCC-6 No /1/24 1,a) 2,b) 2,c) 1,d) QUMARION QUMARION Kinect Kinect
1,a) 2,b) 2,c) 1,d) QUMARION QUMARION Kinect Kinect Using a Human-Shaped Input Device for Remote Pose Instruction Yuki Tayama 1,a) Yoshiaki Ando 2,b) Misaki Hagino 2,c) Ken-ichi Okada 1,d) Abstract: There
2) 3) LAN 4) 2 5) 6) 7) K MIC NJR4261JB0916 8) 24.11GHz V 5V 3kHz 4 (1) (8) (1)(5) (2)(3)(4)(6)(7) (1) (2) (3) (4)
ドップラーセンサ 送信波 観測対象 1 1 1 SVM 2 9 Activity and State Recognition without Body-Attached Sensor Using Microwave Doppler Sensor Masatoshi Sekine, 1 Kurato Maeno 1 and Masanori Nozaki 1 To spread context-aware
12 DCT A Data-Driven Implementation of Shape Adaptive DCT
12 DCT A Data-Driven Implementation of Shape Adaptive DCT 1010431 2001 2 5 DCT MPEG H261,H263 LSI DDMP [1]DDMP MPEG4 DDMP MPEG4 SA-DCT SA-DCT DCT SA-DCT DDMP SA-DCT MPEG4, DDMP,, SA-DCT,, ο i Abstract
Rhythmic Gymnastics RG 3) 2 GymnastikTurnen ) ) 1963 Modern Gymnastics FIG 10 Modern Rhythmic Gymnastics 1977 Modern Rhythmic S
1. Bull. of Nippon Sport Sci. Univ. 40 2 57 68 2011 A consideration on the theory of beauty of rhythmic gymnastics In relation to the code of points Ikuko URATANI Abstract: This research discusses the
) ,
Vol. 2, 1 17, 2013 1986 A study about the development of the basic policy in the field of reform of China s sports system 1986 HaoWen Wu Abstract: This study focuses on the development of the basic policy
NotePC 8 10cd=m 2 965cd=m 2 1.2 Note-PC Weber L,M,S { i {
12 The eect of a surrounding light to color discrimination 1010425 2001 2 5 NotePC 8 10cd=m 2 965cd=m 2 1.2 Note-PC Weber L,M,S { i { Abstract The eect of a surrounding light to color discrimination Ynka
‚æ4“ƒ.ren
69 1 1 13 14 70 2 3 1972 4 5 1992 6 7 1980 100 1997 71 226 2100 8 100 50 9 21 21 21 21 10 11 2 1968 12 13 72 1980 14 15 16 17 73 18 18 20 5 2002 12 9 19 1964 1980 20 21 22 74 23 100 10 10 100 101 1 101
19 Systematization of Problem Solving Strategy in High School Mathematics for Improving Metacognitive Ability
19 Systematization of Problem Solving Strategy in High School Mathematics for Improving Metacognitive Ability 1105402 2008 2 4 2,, i Abstract Systematization of Problem Solving Strategy in High School
NPO
Brulin 2001 NPO NPO NPO JHC JHC Kemmis and McTaggart 2000: 582 Brulin, G. The Third Task of Universities or How to Get Universities to Serve their Communities!, Reason, P. & Bradbury, H. eds.
06’ÓŠ¹/ŒØŒì
FD. FD FD FD FD FD FD / Plan-Do-See FD FD FD FD FD FD FD FD FD FD FD FD FD FD JABEE FD A. C. A B .. AV .. B Communication Space A FD FD ES FD FD The approach of the lesson improvement in Osaka City University
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
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
indd
Windows Vista 2 Service pack 1 SP1 Windows Vista Windows Xp Windows Vista Windows Vista CPU Windows OS Windows Xp Windows Vista Windows 7 15 20 Windows Vista Windows Vista Windows Xp Windows Vista Windows
卒業論文はMS-Word により作成して下さい
() 2007 2006 KO-MA KO-MA 2006 6 2007 6 KO-MA KO-MA 256 :117:139 8 40 i 23 50 2008 3 8 NPO 7 KO-MA( KO-MA ) 1) (1945-) KO-MA KO-MA AD 2007 1 29 2007 6 13 20 KO-MA 2006 6 KO-MA KO-MA ii KJ 11 KO-MA iii KO-MA
論文9.indd
Recent topics in surround sound audio Masaki Sawaguchi Summary This paper will describe the recent trends in surround sound system based on the results of various investigations on this topic. According
, IT.,.,..,.. i
25 To construct the system that promote a interactive method as a knowledge acquisition 1140317 2014 2 28 , IT.,.,..,.. i Abstract To construct the system that promote a interactive method as a knowledge
9_18.dvi
Vol. 49 No. 9 3180 3190 (Sep. 2008) 1, 2 3 1 1 1, 2 4 5 6 1 MRC 1 23 MRC Development and Applications of Multiple Risk Communicator Ryoichi Sasaki, 1, 2 Yuu Hidaka, 3 Takashi Moriya, 1 Katsuhiro Taniyama,
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
1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,
![1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,](/thumbs/50/25936361.jpg "1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,")
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
Bulletin of JSSAC(2014) Vol. 20, No. 2, pp (Received 2013/11/27 Revised 2014/3/27 Accepted 2014/5/26) It is known that some of number puzzles ca
Bulletin of JSSAC(2014) Vol. 20, No. 2, pp. 3-22 (Received 2013/11/27 Revised 2014/3/27 Accepted 2014/5/26) It is known that some of number puzzles can be solved by using Gröbner bases. In this paper,
( ) [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](/thumbs/91/107597950.jpg "( ) [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
2
2011 8 6 2011 5 7 [1] 1 2 i ii iii i 3 [2] 4 5 ii 6 7 iii 8 [3] 9 10 11 cf. Abstracts in English In terms of democracy, the patience and the kindness Tohoku people have shown will be dealt with as an exception.
A Navigation Algorithm for Avoidance of Moving and Stationary Obstacles for Mobile Robot Masaaki TOMITA*3 and Motoji YAMAMOTO Department of Production
A Navigation Algorithm for Avoidance of Moving and Stationary Obstacles for Mobile Robot Masaaki TOMITA*3 and Motoji YAMAMOTO Department of Production System Engineering, Kyushu Polytecnic College, 1665-1
DEIM Forum 2009 C8-4 QA NTT QA QA QA 2 QA Abstract Questions Recomme
DEIM Forum 2009 C8-4 QA NTT 239 0847 1 1 E-mail: {kabutoya.yutaka,kawashima.harumi,fujimura.ko}@lab.ntt.co.jp QA QA QA 2 QA Abstract Questions Recommendation Based on Evolution Patterns of a QA Community
橡最終原稿.PDF
GIS Simulation analysis of disseminate of disaster information using GIS * ** *** Toshitaka KATADAJunsaku ASADA and Noriyuki KUWASAWA GIS GIS AbstractWe have developed the simulation model expressing the
[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](/thumbs/93/112070099.jpg "[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
社会技術論文集
STS Studies on Kanemi-Yusho Case with Special Interests on the Accident Investigation 1 1 M.Sc. (E-mail:tnakaji@plum.ocn.ne.jp) 1968 PCB 1. 2003 15 5 23 9;37 1900 2003 33 2 2 BSE 3 8; 14 2001 9 BSE 1 BSE
Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
![Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m](/thumbs/92/108648363.jpg "Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m")
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
16−ª1“ƒ-07‘¬ŠÑ
The purpose of this study is to clarify a process that Awa dance developed into tourist resources and the factors that it spread out in all over Japan. Consideration was made with the memory magazines,
ISSN NII Technical Report Patent application and industry-university cooperation: Analysis of joint applications for patent in the Universit
ISSN 1346-5597 NII Technical Report Patent application and industry-university cooperation: Analysis of joint applications for patent in the University of Tokyo Morio SHIBAYAMA, Masaharu YANO, Kiminori
The Indirect Support to Faculty Advisers of die Individual Learning Support System for Underachieving Student The Indirect Support to Faculty Advisers of the Individual Learning Support System for Underachieving
KII, Masanobu Vol.7 No Spring
KII, Masanobu 1 2 3 4 5 2 2.1 1945 60196075 19759019904 002 Vol.7 No.1 2004 Spring 1194560 1 1946 2 195328 3 4 1958 1960 2196075 5 6 7 8 1946 2 1972 1/23/4 1974 1968481973 1969 3197590 9 1980 1987 41990
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](/thumbs/86/93291802.jpg "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