BIST LSI LSI LSI (DDP) BIST Ring-STP (BIST) BIST LSI e-shuttle 65nm 12Layer CMOS Cadence Verilog-XL 100MHz 16M Packet/sec LSI 5 1 BIST i

Size: px
Start display at page:

Download "BIST LSI LSI LSI (DDP) BIST Ring-STP (BIST) BIST LSI e-shuttle 65nm 12Layer CMOS Cadence Verilog-XL 100MHz 16M Packet/sec LSI 5 1 BIST i"

Transcription

1 20 BIST LSI LSI Implementation of Self-Timed Ultra High Speed BIST Circuit

2 BIST LSI LSI LSI (DDP) BIST Ring-STP (BIST) BIST LSI e-shuttle 65nm 12Layer CMOS Cadence Verilog-XL 100MHz 16M Packet/sec LSI 5 1 BIST i

3 Abstract LSI Implementation of Self-Timed Ultra High Speed BIST Circuit Hiroki MIYAMOTO Recently, a large scale and speed-up of LSI has been accelerated rapidly. However, power consumption is increased making to a large scale and speeding up, and the growing difficulty of complication and the operation verification of the design is generated. The major cause is synchronous architecture that operates based on global area clock signals. On the other hand, the Data-Driven Processor (DDP) can reduce power consumption, and the design can be localized. Because global area clock signals are not used. However, even if the Self-Timed Pipeline is used, the growing difficulty of the operation verification cannot be reduced. In a clock synchronous circuit, the operation verification has been simplified as a Design for Testability(DFT). On the other hand, DFT cannot be used with STP. In this dissertation, the main suggestion is the circuit design of the Built-in Self- Test(BIST) for the Self-Timed Pipeline. In addition, the evaluations of effectiveness are evaluated by the simulation. The library used for the simulation is e-shuttle 65nm 12Layer CMOS standard cell library. In addition, the simulator used Verilog-XL of the Cadence Design Systems. The results of the simulation when the circuit operated at 100MHz is 16M Packet/sec. Moreover, the circuit size was about 1/5 of the LSI. key words Self-Timed Pipeline, DDP, DFT, BIST ii

4 STP BIST BIST BIST Generator Comparator STPFIFO LSI iii

5 iv

6 STP STP DDMP BIST BIST Generator VHS VD Comparator POWERLOAD STPFIFO LSI (Generator) (Comparator) v

7 4.1 ( ) ( ) ( ) vi

8 1 LSI LSI LSI 400kHz 2,300 3GHz 8 Transistors Frequency 1.1 I. II. III. I. [1] II. LSI System On a 1

9 Chip(SoC) LSI LSI III. 2. SoC LSI (Self- Timed Pipeline : STP) [2] [3] STP (SEND ) (ACK ) ( ) STP [4] STP LSI [5] (Built-In Self Test : BIST) LSI ( ) LSI BIST LSI 2 2

10 STP BIST BIST BIST 5 2 BIST 3 BIST 4 BIST 5 3

11 2 2.1 STP STP LSI LSI STP BIST BIST STP STP SEND ACK STP 2.1 4

12 2.2 Pipeline Stage Packet DLi-1 Logic Logic DLi Logic Logic DLi+1 SENDi-1 SENDi SENDi+1 SENDi+2 ACKi-1 Ci-1 ACKi Ci ACKi+1 Ci+1 ACKi+2 Master Reset DL : Data Latch C : C-element 2.1 STP STP 2.1 (DL) Logic DL (C : C-element) 2.1 DL Logic C Logic 2.2 Master Reset C ACK 1. C C i C i 1 SEND C i+1 ACK DL CK 2. DL i DL i 1 DL i 3. C i C i 1 ACK C i+1 SEND 4. SEND 5

13 2.2 Master Reset (0) SEND0 (1) ACK0 To DL1 SEND1 (2) (3) (4) ACK1 To DL2 SEND2 (3) (2) (4) 2.2 STP ACK DL STP STP DDMP DDMP 2.3 (Ring) (M : Merge) STP MM 6

14 2.2 M MM M : Merge MM : Matching Memory ALU : Arithmetic Logic Unit PS : Program Storage B : Branch ALU B PS 2.3 DDMP (MM : Matching Memory) M ALU (ALU: Arithmetic Logic Unit) MM PS (PS : Program Storage) DDMP ALU B (B : Branch) DDMP 60 STP 7

15 (Design For Testability : DFT) DFT (Built-In Self Test : BIST) BIST LSI Clock Circuit FF FF FF FF FF Parameter Scan Circuit Result FF : Scan Flip-Flop 2.4 8

16 2.3 LSI (Circuit) (FF) (Scan Circuit) LSI (Clock) (Parameter) Result LSI BIST BIST BIST BIST 2.5 LSI Circuit BIST Pattern Pattern Parameter Test Pattern Generator Test Pattern Validator Result 2.5 BIST 9

17 2.4 LSI (Circuit) BIST (BIST) LSI LSI (TestPattern Generator) (Test Pattern Validator) BIST (Test Pattern Validator) LSI 2.4 STP STP STP LSI BIST BIST BIST 10

18 DDMP BIST 2 BIST BIST BIST LSI 11

19 3 BIST 3.1 STP LSI LSI CORE Mode BIST RING Interval BISTGEN 40 Stage Ring-STP Result BISTCOMP V DDB V DDC V min V SS V DDO (for I/O)

20 3.3 BIST BIST BIST RING RING : 40 Ring-STP Logic : ( 1 ) : LSI MODE Interval BIST 3.3 BIST BIST 3.2 BIST 2 BIST 3 Generator Comparator STPFIFO Generator Comparator STPFIFO Generator Comparator STPFIFO Generator Generator 3.3 VHS(Virtual Hand-Shake) M (M-series Generator) (C : C-element) STPFIFO 13

21 3.3 BIST BIST Generator STPFIFO 40 packets RING M-series Generator DL DL VHS C C C VD STPFIFO SEND ACK Comparator 40 results DL DL Compare Matching C C C STPFIFO VHS : Virtual Hand-Shake DL : Data Latch C: C-element VD : Variable Delay SEND ACK 3.2 BIST (VD : Variable Delay) LSI (CLK) (STARTKEY) (COUNTKEY) (INTERVAL) VHS M-series Generator C VD (C : C-element) C DL DL C C SEND ACK DL M (M-series Generator) 14

22 3.3 BIST STPFIFO 40 packets INTERVAL M-series Generator DL DL 194 CLK COUNTKEY STARTKEY RESET VHS C C C VD SEND ACK VHS : Virtual Hand-Shake DL : Data Latch C: C-element VD : Variable Delay CLK : Clock 3.3 Generator BIST 2 LSI M (Maximal-Length Sequences/M-Series) (LFSR) (VHS : Virtual Hand-Shake) STP BIST M M 1 (VHS : Virtual Hand-Shake) STP 3.4 (SINI) STARTKEY STARTKEY SEND (SSA) ACK (SWAA) ACK SEND (SSN) ACK (SWAN) ACK Completion 15

23 3.3 BIST Not STARTKEY Assert SINI STARTKEY Assert SSA SEND Assert SWAA Not ACK Assert Send Completion ACK Assert SCOM ACK Negate SWAN SEND Negate SSN Not ACK Negate SINI : Initial SSA : SEND Assertion SWAA : Wait ACK Assertion SSN : SEND Negation SWAN : Wait ACK Negation SCOM : Send Completion 3.4 VHS (SCOM) (VD : Variable Delay) INTERVAL IN OUT D MUX D MUX D MUX 3.5 VD CPU STP 16

24 3.3 BIST (VD) 3.5 MUX INTERVAL Comparator Generator From Generator STPFIFO 40 results PL Result DL DL Compare Matching From RING 194 C C C SEND ACK DL : Data Latch C : C-element PL : POWERLOAD 3.6 Comparator Generator (PL : POW- ERLOAD) Generator RING (Matching) Generator RING (Compare) STPFIFO LSI 17

25 3.3 BIST Result PL Matching Compare (PL : POWERLOAD) Packet 192 GD ADDER Packet 192 GD : Gray code Decoder 3.7 POWERLOAD RING 1 BIST POWERLOAD 3.7 (GD) 40 (ADDER) RING 194bit RING 192bit bit (Matching) 18

26 3.3 BIST RING BIST Generator RING Generator (Compare) RING Generator (Result ) STPFIFO STPFIFO Packets Packet DL DL DL Packet 194 or or 1 SEND C C DL : Data Latch C: C-element C ACK 3.8 STPFIFO STPFIFO (DL) (C) FIFO(First In, First Out) STPFIFO C STPFIFO BIST STPFIFO STPFIFO 19

27 3.4 LSI 194bit 1bit (DL) STPFIFO 3.4 LSI BIST RING LSI 3.9 Generator BIST Comparator 3.9 LSI BIST 3.9 BIST Generator Comparator 20

28 BIST BIST LSI RING BIST BIST 21

29 4 4.1 BIST LSI BIST BIST BIST 4.2 LSI : Cadence Verilog-XL : 1ps : e-shuttle 65nm 12Layer CMOS : Synopsys Astro : Synopsys Design Compiler 22

30 BIST Generator Comparator Generator 4.2 Comparator Generator 2 Comparator 1 Set Hand Shake 4.1 (Generator) Result 4.2 (Comparator) 4.1 (Set) STARTKEY Generator RING BIST Generator Comparator 23

31 Generator MHz Generator 17M packet/sec ( ) (µm 2 ) Generator Comparator STPFIFO STPFIFO 4.3 BIST Generator Comparator STPFIFO STPFIFO 24

32 ( ) (µm 2 ) Generator Comparator STPFIFO ( ) Generator 9961 M 280 STPFIFO Comparator 3073 Matching 448 STPFIFO 1526 Compare 257 STPFIFO BIST Generator Comparator STPFIFO STPFIFO 194bit 1bit 3 1 STPFIFO 4.2 BIST

33 BIST BIST 100MHz 17M packet/sec 6 /packet STPFIFO STPFIFO BIST

34 5 LSI STP STP STP BIST BIST STP STP BIST LSI BIST 3 Generator Generator RING Comparator Generator Comparator STPFIFO Generetor BIST 100MHz 17M packet/sec 6 27

35 /packet STPFIFO STPFIFO BIST LSI LSI 4 1 BIST LSI BIST BIST STPFIFO 4.4 STPFIFO RING RING STPFIFO CPU BIST STPFIFO Generator STPFIFO RING BIST RING BIST STPFIFO BIST LSI BIST RING 1 M RING RING 28

36 100MHz 17M packet/sec 6 /packet STP DDMP LSI BIST LSI LSI LSI LSI LSI STP STP 29

37 , LSI., 1 JST/CREST 3 30

38 [1] Leon, A. S., Tam, K. W., Shin, J. L., Weisner, D., Schumacher, F., A Power- Efficient High-Throughput 32-Thread SPARC Processor, ISSCC 2006 Digest of Technical Papers, pp.98-99, Jan [2] Hiroaki Terada, Souichi Miyata, and Makoto Iwata, DDMP s: Self-Timed Super- Pipelined Data- Driven Multimedia Processors, Proceedings of the IEEE, Vol.87, No.2, pp , Feb [3] Hiroaki Nishikawa, Hiroshi Ishii, and Makoto Iwata, Collaborative Research Project on Ultra-Low-Power Data-Driven Networking System Proc. of Parallel and Distributed Processing Techniques and Applications 08 Vol.2, pp , Jul [4] Kei Miyagi, Shuji Sannomiya, Keiichi Sakai, Makoto Iwata, and Hiroaki Nishikawa, Autonomous Power-Supply Control for Ultra-Low-Power Self-Timed Pipeline Proc. of Parallel and Distributed Processing Techniques and Applications 08 Vol.2, pp , Jul [5], CQ, Design Wave Magazine, pp.47-54, March

/ FPGA LSI [1] CDP DDP 2 LSI FPGA PicoProcessor(pP)[2] (STP)[1] DDP 1.27 i

/ FPGA LSI [1] CDP DDP 2 LSI FPGA PicoProcessor(pP)[2] (STP)[1] DDP 1.27 i 22 / FPGA A Study of FPGA Platform for Architecture Evaluation of a Data-Driven/Control-Driven Processor 1110232 / FPGA LSI [1] CDP DDP 2 LSI FPGA PicoProcessor(pP)[2] (STP)[1] DDP 1.27 i Abstract A Study

More information

12 DCT A Data-Driven Implementation of Shape Adaptive DCT

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

More information

Kochi University of Technology Aca Title 省 電 力 セルフタイム 回 路 に 関 する 研 究 Author(s) 岩 田, 誠, 宮 城, 桂, 三 宮, 秀 次, 西 川, 博 昭 Citation 高 知 工 科 大 学 紀 要, 10(1): 95-102 Date of 2013-07-20 issue URL http://hdl.handle.net/10173/1082

More information

7,, i

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

More information

P2P P2P peer peer P2P peer P2P peer P2P i

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

More information

Web Web Web Web Web, i

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

More information

4.1 % 7.5 %

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

More information

GPGPU

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

More information

dr-timing-furukawa4.pptx[読み取り専用]

dr-timing-furukawa4.pptx[読み取り専用] < kazuro.furukawa @ kek.jp > 1 2 Remote controlled automatic pattern arbitrator" Manual pattern generator" Recent typical operation. ~37Hz for KEKB LER (3.5GeV e+) ~12.5Hz for KEKB HER (8GeV e ) ~0.5Hz

More information

Design at a higher level

Design at a higher level Meropa FAST 97 98 10 HLS, Mapping, Timing, HDL, GUI, Chip design Cadence, Synopsys, Sente, Triquest Ericsson, LSI Logic 1980 RTL RTL gates Applicability of design methodologies given constant size of

More information

soturon.dvi

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

More information

Core1 FabScalar VerilogHDL Cache Cache FabScalar 1 CoreConnect[2] Wishbone[3] AMBA[4] AMBA 1 AMBA ARM L2 AMBA2.0 AMBA2.0 FabScalar AHB APB AHB AMBA2.0

Core1 FabScalar VerilogHDL Cache Cache FabScalar 1 CoreConnect[2] Wishbone[3] AMBA[4] AMBA 1 AMBA ARM L2 AMBA2.0 AMBA2.0 FabScalar AHB APB AHB AMBA2.0 AMBA 1 1 1 1 FabScalar FabScalar AMBA AMBA FutureBus Improvement of AMBA Bus Frame-work for Heterogeneos Multi-processor Seto Yusuke 1 Takahiro Sasaki 1 Kazuhiko Ohno 1 Toshio Kondo 1 Abstract: The demand

More information

Firewall IDS IP IP 1 HTTP 74% Quick Search 32 bit DDMP 4 23.02 Mbps URL Filtering 59.3 Mbps i

Firewall IDS IP IP 1 HTTP 74% Quick Search 32 bit DDMP 4 23.02 Mbps URL Filtering 59.3 Mbps i 16 Pipelined Signature Matching for Malicious Access Detection 1050371 2005 3 11 Firewall IDS IP IP 1 HTTP 74% Quick Search 32 bit DDMP 4 23.02 Mbps URL Filtering 59.3 Mbps i Abstract Pipelined Signature

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

,4) 1 P% P%P=2.5 5%!%! (1) = (2) l l Figure 1 A compilation flow of the proposing sampling based architecture simulation

,4) 1 P% P%P=2.5 5%!%! (1) = (2) l l Figure 1 A compilation flow of the proposing sampling based architecture simulation 1 1 1 1 SPEC CPU 2000 EQUAKE 1.6 50 500 A Parallelizing Compiler Cooperative Multicore Architecture Simulator with Changeover Mechanism of Simulation Modes GAKUHO TAGUCHI 1 YOUICHI ABE 1 KEIJI KIMURA 1

More information

29 Short-time prediction of time series data for binary option trade

29 Short-time prediction of time series data for binary option trade 29 Short-time prediction of time series data for binary option trade 1180365 2018 2 28 RSI(Relative Strength Index) 3 USD/JPY 1 2001 1 2 4 10 2017 12 29 17 00 1 high low i Abstract Short-time prediction

More information

paper.dvi

paper.dvi 28 Confined Decoding System for Medical Data Distributed by Secret Sharing Scheme and Its Security Evaluation 1195046 2017 3 6 DMAT i Abstract Confined Decoding System for Medical Data Distributed by Secret

More information

Web Web Web Web i

Web Web Web Web i 28 Research of password manager using pattern lock and user certificate 1170369 2017 2 28 Web Web Web Web i Abstract Research of password manager using pattern lock and user certificate Takuya Mimoto In

More information

mobicom.dvi

mobicom.dvi 13Dynamic Voltage Scaling on a Low-Power Microprocessor Johan Pouwelse 5 Koen Langendoen Henk Sips Faculty of Information Technology and Systems Delft University of Technology, The Netherlands 1 78724

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 Study on Generation of Sudoku Problems with Fewer Clues

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

More information

ICS-01B-◇◇◇

ICS-01B-◇◇◇ ICS-02B-812 255 ... 4 Abstract... 4 1... 5 1.1... 5 1.2... 6 1.3... 7 2... 8 2.1... 8 2.2... 10 2.3...11 2.4... 13 2.5 2... 14 3... 16 3.1... 16 3.2... 17 4 2... 20 4.1... 20 4.2... 24 4.3... 27 4.4...

More information

Table 1 Utilization of Data for River Water Table 2 Utilization of Data for Groundwater Quality Analysis5,6,9,10,13,14) Quality Analysis5-13) Fig. 1 G

Table 1 Utilization of Data for River Water Table 2 Utilization of Data for Groundwater Quality Analysis5,6,9,10,13,14) Quality Analysis5-13) Fig. 1 G Key Words: river water quality, groundwater quality, manpower development, sewerage Table 1 Utilization of Data for River Water Table 2 Utilization of Data for Groundwater Quality Analysis5,6,9,10,13,14)

More information

kut-paper-template.dvi

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

More information

2017 (413812)

2017 (413812) 2017 (413812) Deep Learning ( NN) 2012 Google ASIC(Application Specific Integrated Circuit: IC) 10 ASIC Deep Learning TPU(Tensor Processing Unit) NN 12 20 30 Abstract Multi-layered neural network(nn) has

More information

21 Quantum calculator simulator based on reversible operation

21 Quantum calculator simulator based on reversible operation 21 Quantum calculator simulator based on reversible operation 1100366 2010 3 1 i Abstract Quantum calculator simulator based on reversible operation Ryota Yoshimura Quantum computation is the novel computational

More information

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

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

More information

P361

P361 ΣAD -RFDAC - High-Speed Continuous-Time Bandpass ΣAD Modulator Architecture Employing Sub-Sampling Technnique with 376-8515 1-5-1 Masafumi Uemori Tomonari Ichikawa Haruo Kobayashi Department of Electronic

More information

25 Removal of the fricative sounds that occur in the electronic stethoscope

25 Removal of the fricative sounds that occur in the electronic stethoscope 25 Removal of the fricative sounds that occur in the electronic stethoscope 1140311 2014 3 7 ,.,.,.,.,.,.,.,,.,.,.,.,,. i Abstract Removal of the fricative sounds that occur in the electronic stethoscope

More information

Introduction Purpose This training course demonstrates the use of the High-performance Embedded Workshop (HEW), a key tool for developing software for

Introduction Purpose This training course demonstrates the use of the High-performance Embedded Workshop (HEW), a key tool for developing software for Introduction Purpose This training course demonstrates the use of the High-performance Embedded Workshop (HEW), a key tool for developing software for embedded systems that use microcontrollers (MCUs)

More information

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

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

More information

28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment

28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment 28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment 1170288 2017 2 28 Docker,.,,.,,.,,.,. Docker.,..,., Web, Web.,.,.,, CPU,,. i ., OS..,, OS, VirtualBox,.,

More information

FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT IPC FabCache 0.076%

FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT IPC FabCache 0.076% 2013 (409812) FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT 6 1000 IPC FabCache 0.076% Abstract Single-ISA heterogeneous multi-core processors are increasing importance in the processor architecture.

More information

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 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

More information

24 FFT Self-Timeed Pipeline Implementation of Adaptive FFT for Different Rate Signals

24 FFT Self-Timeed Pipeline Implementation of Adaptive FFT for Different Rate Signals 24 FFT Self-Timeed Pipeline Implementation of Adaptive FFT for Different Rate Signals 1155064 2013 2 5 FFT HetNet (FFT) FFT. (STP) FFT STP FFT FFT FFT FPGA(Altera stratixii) HetNet FFT STP i Abstract Self-Timeed

More information

スライド 1

スライド 1 1 1. 2 2. 3 isplever 4 5 6 7 8 9 VHDL 10 VHDL 4 Decode cnt = "1010" High Low DOUT CLK 25MHz 50MHz clk_inst Cnt[3:0] RST 2 4 1010 11 library ieee; library xp; use xp.components.all; use ieee.std_logic_1164.all;

More information

SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i

SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i 24 SURF Recognition of Facial Expression Based on SURF 1130402 2013 3 1 SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i Abstract Recognition of Facial

More information

16.16%

16.16% 2017 (411824) 16.16% Abstract Multi-core processor is common technique for high computing performance. In many multi-core processor architectures, all processors share L2 and last level cache memory. Thus,

More information

2 3

2 3 * This device can only be used inside Japan in areas that are covered by subscription cable TV services. Because of differences in broadcast formats and power supply voltages, it cannot be used in overseas

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

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 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),

More information

1 1 tf-idf tf-idf i

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

More information

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

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

More information

( ) [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

I/F Memory Array Control Row/Column Decoder I/F Memory Array DRAM Voltage Generator

I/F Memory Array Control Row/Column Decoder I/F Memory Array DRAM Voltage Generator - - 18 I/F Memory Array Control Row/Column Decoder I/F Memory Array DRAM Voltage Generator - - 19 - - 20 N P P - - 21 - - 22 DRAM - - 23 a b MC-Tr avcc=2.5vvbb=-1.5vvpp=4.0v bvcc=1.7vvbb=-1.0vvpp=3.0v

More information

RW1097-0A-001_V0.1_170106

RW1097-0A-001_V0.1_170106 INTRODUCTION RW1097 is a dot matrix LCD driver & controller LSI which is fabricated by low power CMOS technology. It can display 1line/2line/3line/4line/5line/6lines x 12 (16 x 16 dot format) with the

More information

,,,,., C Java,,.,,.,., ,,.,, i

,,,,., C Java,,.,,.,., ,,.,, i 24 Development of the programming s learning tool for children be derived from maze 1130353 2013 3 1 ,,,,., C Java,,.,,.,., 1 6 1 2.,,.,, i Abstract Development of the programming s learning tool for children

More information

先端社会研究 ★5★号/4.山崎

先端社会研究 ★5★号/4.山崎 71 72 5 1 2005 7 8 47 14 2,379 2,440 1 2 3 2 73 4 3 1 4 1 5 1 5 8 3 2002 79 232 2 1999 249 265 74 5 3 5. 1 1 3. 1 1 2004 4. 1 23 2 75 52 5,000 2 500 250 250 125 3 1995 1998 76 5 1 2 1 100 2004 4 100 200

More information

Sobel Canny i

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

More information

IT i

IT i 27 The automatic extract of know-how search tag using a thesaurus 1160374 2016 2 26 IT i Abstract The automatic extract of know-how search tag using a thesaurus In recent years, a number of organizational

More information

*Ł\”ƒ‚ä(DCH800)

*Ł\”ƒ‚ä(DCH800) B B B B B B B B B C * This device can only be used inside Japan in areas that are covered by subscription cable TV services. Because of differences in broadcast formats and power supply voltages, it cannot

More information

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i 25 Feature Selection for Prediction of Stock Price Time Series 1140357 2014 2 28 ..,,,,. 2013 1 1 12 31, ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i Abstract Feature Selection for Prediction of Stock Price Time

More information

189 2015 1 80

189 2015 1 80 189 2015 1 A Design and Implementation of the Digital Annotation Basis on an Image Resource for a Touch Operation TSUDA Mitsuhiro 79 189 2015 1 80 81 189 2015 1 82 83 189 2015 1 84 85 189 2015 1 86 87

More information

大学における原価計算教育の現状と課題

大学における原価計算教育の現状と課題 1 1.1 1.2 1.3 2 2.1 2.2 3 3.1 3.2 3.3 2014a 50 ABC Activity Based Costing LCC Lifecycle Costing MFCA Material Flow Cost Accounting 2 2 2016 9 1 2 3 2014b 2005 2014b 2000 1 2 1962 5 1 3 2 3 4 5 50 2012

More information

A Study on Traffic Characteristics in Multi-hop Wireless Networks 2010 3 Yoichi Yamasaki ( ) 21 Local Area Network (LAN) LAN LAN LAN (AP, Access Point) LAN AP LAN AP AP AP (MWN, Multi-hop Wireless Network)

More information

DTN DTN DTN DTN i

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

More information

PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i

PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i 21 The private mailers synchronization operation for plural terminals 1125083 2010 3 1 PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i Abstract The private mailers synchronization operation for plural terminals

More information

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

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

More information

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

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

FreeSpace.book

FreeSpace.book IZA 190-HZ IZA 250-LZ ZA 190-HZ ZA 250-LZ FreeSpace Integrated Zone Amplifier/Zone Amplifier * 1. 2. 3. 4. 5. 6. 7. 8. 9. 2 2 10. 11. 12. 13. 14. 15. 16. 17. 40 C This product conforms to all EU Directive

More information

26102 (1/2) LSISoC: (1) (*) (*) GPU SIMD MIMD FPGA DES, AES (2/2) (2) FPGA(8bit) (ISS: Instruction Set Simulator) (3) (4) LSI ECU110100ECU1 ECU ECU ECU ECU FPGA ECU main() { int i, j, k for { } 1 GP-GPU

More information

IEEE802.11n LAN WiMAX(Mobile Worldwide Interoperability for Microwave Access) LTE(Long Term Evolution) IEEE LAN Bluetooth IEEE LAN

IEEE802.11n LAN WiMAX(Mobile Worldwide Interoperability for Microwave Access) LTE(Long Term Evolution) IEEE LAN Bluetooth IEEE LAN 23 IEEE802.11n LAN 43422519 ( ) 24 2 6 IEEE802.11n LAN WiMAX(Mobile Worldwide Interoperability for Microwave Access) LTE(Long Term Evolution) IEEE802.11 LAN Bluetooth 2009 9 IEEE802.11 LAN IEE E802.11n

More information

Express5800/R110a-1Hユーザーズガイド

Express5800/R110a-1Hユーザーズガイド 4 Phoenix BIOS 4.0 Release 6.0.XXXX : CPU=Xeon Processor XXX MHz 0640K System RAM Passed 0127M Extended RAM Passed WARNING 0B60: DIMM group #1 has been disabled. : Press to resume, to

More information

Deep Learning Deep Learning GPU GPU FPGA %

Deep Learning Deep Learning GPU GPU FPGA % 2016 (412825) Deep Learning Deep Learning GPU GPU FPGA 16 1 16 69% Abstract Recognition by DeepLearning attracts attention, because of its high recognition accuracy. Lots of learning is necessary for Deep

More information

Express5800/320Fa-L/320Fa-LR

Express5800/320Fa-L/320Fa-LR 7 7 Phoenix BIOS 4.0 Release 6.0.XXXX : CPU=Pentium III Processor XXX MHz 0640K System RAM Passed 0127M Extended RAM Passed WARNING 0212: Keybord Controller Failed. : Press to resume, to setup

More information

SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i

SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i 20 SOM Development of Syllabus Vsualization System using Spherical Self-Organizing Maps 1090366 2009 3 5 SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i Abstract Development of Syllabus Vsualization

More information

2007-Kanai-paper.dvi

2007-Kanai-paper.dvi 19 Estimation of Sound Source Zone using The Arrival Time Interval 1080351 2008 3 7 S/N 2 2 2 i Abstract Estimation of Sound Source Zone using The Arrival Time Interval Koichiro Kanai The microphone array

More information

修士論文

修士論文 27 Mobile Ad Hoc Networks An Ant-based Routing Algorithm with Multi-phase Pheromone and Power-saving in Mobile Ad Hoc Networks 14T0013 Shohei Miyashita E-mail: shohei.miyashita.4j@stu.hosei.ac.jp : Abstract

More information

(SAD) x86 MPSADBW H.264/AVC H.264/AVC SAD SAD x86 SAD MPSADBW SAD 3x3 3 9 SAD SAD SAD x86 MPSADBW SAD 9 SAD SAD 4.6

(SAD) x86 MPSADBW H.264/AVC H.264/AVC SAD SAD x86 SAD MPSADBW SAD 3x3 3 9 SAD SAD SAD x86 MPSADBW SAD 9 SAD SAD 4.6 SAD 23 (410M520) (SAD) x86 MPSADBW H.264/AVC H.264/AVC SAD SAD x86 SAD MPSADBW SAD 3x3 3 9 SAD SAD SAD x86 MPSADBW SAD 9 SAD SAD 4.6 Abstract In recent years, the high definition of video image has made

More information

003村江.indd

003村江.indd *1 Study on Room ressure Control at Cleanroom art 1 Experiments on Room ressure Fluctuation with Door Operation and Local Ventilation Operation Yukitada MURAE *1 Tamio IWAMURA *2 Hiroyuki NAGAI *3 Shigeru

More information

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

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

More information

26 FPGA 11 05340 1 FPGA (Field Programmable Gate Array) ASIC (Application Specific Integrated Circuit) FPGA FPGA FPGA FPGA Linux FreeDOS skewed way L1

26 FPGA 11 05340 1 FPGA (Field Programmable Gate Array) ASIC (Application Specific Integrated Circuit) FPGA FPGA FPGA FPGA Linux FreeDOS skewed way L1 FPGA 272 11 05340 26 FPGA 11 05340 1 FPGA (Field Programmable Gate Array) ASIC (Application Specific Integrated Circuit) FPGA FPGA FPGA FPGA Linux FreeDOS skewed way L1 FPGA skewed L2 FPGA skewed Linux

More information

kiyo5_1-masuzawa.indd

kiyo5_1-masuzawa.indd .pp. A Study on Wind Forecast using Self-Organizing Map FUJIMATSU Seiichiro, SUMI Yasuaki, UETA Takuya, KOBAYASHI Asuka, TSUKUTANI Takao, FUKUI Yutaka SOM SOM Elman SOM SOM Elman SOM Abstract : Now a small

More information

27 VR Effects of the position of viewpoint on self body in VR environment

27 VR Effects of the position of viewpoint on self body in VR environment 27 VR Effects of the position of viewpoint on self body in VR environment 1160298 2015 2 25 VR (HMD), HMD (VR). VR,.. HMD,., VR,.,.,,,,., VR,. HMD VR i Abstract Effects of the position of viewpoint on

More information

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

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

More information

LTE移動通信システムのフィールドトライアル

LTE移動通信システムのフィールドトライアル LTE Field Trial for LTE Mobile Network System 鬼柳広幸 箕輪守彦 あらまし LTELong Term Evolution LTE 1.7 GHz 5 MHzEnd to EndLTE 34.6 Mbps9.5 Mbps IP LTE Abstract The Long Term Evolution (LTE) mobile network system

More information

1 OpenCL OpenCL 1 OpenCL GPU ( ) 1 OpenCL Compute Units Elements OpenCL OpenCL SPMD (Single-Program, Multiple-Data) SPMD OpenCL work-item work-group N

1 OpenCL OpenCL 1 OpenCL GPU ( ) 1 OpenCL Compute Units Elements OpenCL OpenCL SPMD (Single-Program, Multiple-Data) SPMD OpenCL work-item work-group N GPU 1 1 2 1, 3 2, 3 (Graphics Unit: GPU) GPU GPU GPU Evaluation of GPU Computing Based on An Automatic Program Generation Technology Makoto Sugawara, 1 Katsuto Sato, 1 Kazuhiko Komatsu, 2 Hiroyuki Takizawa

More information

VLSI工学

VLSI工学 2008/1/15 (12) 1 2008/1/15 (12) 2 (12) http://ssc.pe.titech.ac.jp 2008/1/15 (12) 3 VLSI 100W P d f clk C V 2 dd I I I leak sub g = I sub + I g qv exp nkt exp ( 5. 6V 10T 2. 5) gd T V T ox Gordon E. Moore,

More information

NotePC 8 10cd=m 2 965cd=m 2 1.2 Note-PC Weber L,M,S { i {

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

More information

29 jjencode JavaScript

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

More information

JR4 JR 3 JR4 KUSUKI, Yukio JR 4 JR JR JR JR JR JR JR , ,530/90 17/ JR

JR4 JR 3 JR4 KUSUKI, Yukio JR 4 JR JR JR JR JR JR JR , ,530/90 17/ JR JR4JR 3 JR4 KUSUKI, Yukio 1 1.1 2011JR4 JR JRJR JRJR4 20 5 JR41 2011 JR 82299 1,129101 307106 263109 4492 1,530/90 17/50 2 2020 JR 281106 375103 9494 88117 624 517/35 1/25 0 2020 3 JR 1,907101 1,864101

More information

日本感性工学会論文誌

日本感性工学会論文誌 pp.343-351 2013 Changes in Three Attributes of Color by Reproduction of Memorized Colors Hiroaki MIYAKE, Takeshi KINOSHITA and Atsushi OSA Graduate School of Science and Engineering, Yamaguchi University,

More information

5 11 3 1....1 2. 5...4 (1)...5...6...7...17...22 (2)...70...71...72...77...82 (3)...85...86...87...92...97 (4)...101...102...103...112...117 (5)...121...122...123...125...128 1. 10 Web Web WG 5 4 5 ²

More information

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004 The Journal of the Japan Academy of Nursing Administration and Policies Vol 8, No 1, pp 43 _ 57, 2004 The Literature Review of the Japanese Nurses Job Satisfaction Research Which the Stamps-Ozaki Scale

More information

untitled

untitled PC murakami@cc.kyushu-u.ac.jp muscle server blade server PC PC + EHPC/Eric (Embedded HPC with Eric) 1216 Compact PCI Compact PCIPC Compact PCISH-4 Compact PCISH-4 Eric Eric EHPC/Eric EHPC/Eric Gigabit

More information

2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC

2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC H.264 CABAC 1 1 1 1 1 2, CABAC(Context-based Adaptive Binary Arithmetic Coding) H.264, CABAC, A Parallelization Technology of H.264 CABAC For Real Time Encoder of Moving Picture YUSUKE YATABE 1 HIRONORI

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

28 TCG SURF Card recognition using SURF in TCG play video

28 TCG SURF Card recognition using SURF in TCG play video 28 TCG SURF Card recognition using SURF in TCG play video 1170374 2017 3 2 TCG SURF TCG TCG OCG SURF Bof 20 20 30 10 1 SURF Bag of features i Abstract Card recognition using SURF in TCG play video Haruka

More information

Rhythmic Gymnastics RG 3) 2 GymnastikTurnen ) ) 1963 Modern Gymnastics FIG 10 Modern Rhythmic Gymnastics 1977 Modern Rhythmic S

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

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

VLSI工学

VLSI工学 2008//5/ () 2008//5/ () 2 () http://ssc.pe.titech.ac.jp 2008//5/ () 3!! A (WCDMA/GSM) DD DoCoMo 905iP905i 2008//5/ () 4 minisd P900i SemiConsult SDRAM, MPEG4 UIMIrDA LCD/ AF ADC/DAC IC CCD C-CPUA-CPU DSPSRAM

More information

P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i

P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i 27 Verification of the usefulness of the data distribution method by browser cache sharing 1160285 2016 2 26 P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i Abstract Verification

More information

F9222L_Datasheet.pdf

F9222L_Datasheet.pdf Introduction Fuji Smart power device M-POWER2 for Multi-oscillated current resonant type power supply Summary System: The ideal and Fuji s original system It includes many functions(soft-switching,stand-by).

More information

Fig. 1 Schematic construction of a PWS vehicle Fig. 2 Main power circuit of an inverter system for two motors drive

Fig. 1 Schematic construction of a PWS vehicle Fig. 2 Main power circuit of an inverter system for two motors drive An Application of Multiple Induction Motor Control with a Single Inverter to an Unmanned Vehicle Propulsion Akira KUMAMOTO* and Yoshihisa HIRANE* This paper is concerned with a new scheme of independent

More information

IPSJ SIG Technical Report Vol.2017-ARC-225 No.12 Vol.2017-SLDM-179 No.12 Vol.2017-EMB-44 No /3/9 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS

IPSJ SIG Technical Report Vol.2017-ARC-225 No.12 Vol.2017-SLDM-179 No.12 Vol.2017-EMB-44 No /3/9 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS 1 1 RTOS DefensiveZone DefensiveZone MPU RTOS RTOS OS Lightweight partitioning architecture for automotive systems Suzuki Takehito 1 Honda Shinya 1 Abstract: Partitioning using protection RTOS has high

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

橡自動車~1.PDF

橡自動車~1.PDF CIRJE-J-34 2000 10 Abstract In this paper, we examine the diversity of transaction patterns observed between a single pair of one automaker and one auto parts supplier in Japan. Assumed reasonably that

More information

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 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,

More information

修士論文

修士論文 2004 Decay of timber and its mechanical characteristic 1075015 1075015 1. 1 1. 2. 3. 4. 5. 4.5. 2. JIS 3. 3.1 3.1.1 ( ) ( ) i 3.1.2 3.1.3 10 3.2 ( 3% ) 4 3% ii Decay of timber and its mechanical characteristic

More information