Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
AWS で加速する機械学習 / Accelerate Machine Learning wit...
Search
Yuichiro Someya
March 14, 2018
Programming
370
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
AWS で加速する機械学習 / Accelerate Machine Learning with AWS
https://aws.amazon.com/jp/startup-day/tokyo/
Yuichiro Someya
March 14, 2018
More Decks by Yuichiro Someya
See All by Yuichiro Someya
にんげんがさき 基盤はあと / Developers over ML platform
ayemos
0
15k
機械学習をスモールスタートさせる方法 / small machine learning
ayemos
3
2.1k
アットホームな分析基盤の作り方 / Homemade Machine Learning Toolkits
ayemos
1
1.1k
サービス開発、機械学習、クラウド / the trinity of machine learning
ayemos
0
3.7k
成長を止めない機械学習のやり方 / Don't stop 'til you get enough (data).
ayemos
15
5.3k
クックパッドの機械学習基盤 2018 / Machine Learning Platform at Cookpad ~ 2018 ~
ayemos
15
22k
PyTorchとCaffe2とONNXと深層学習モデルのデプロイについて
ayemos
1
3.1k
クックパッドにおけるAWS GPUインスタンスの利用事例 / Powering by AWS GPU Instances in Cookpad Inc
ayemos
0
470
How we use GPUs in Cookpad
ayemos
0
210
Other Decks in Programming
See All in Programming
Long Living Tokens, Die, Die, Die! (or: The One Ring is Banned in Modern)
sylph01
0
340
Compiling a real-world CLI tool to native with Static Hermes
tmikov2023
0
130
[2026-09-26]空論ジェネリックプロセス~テスト資産とAIで紡ぐ、再現可能なパフォーマンスチューニングの話~
tosite
0
270
作って学ぶSpring BootのAuto Configuration / JJUG Night Seminar 2026-10-19
rshindo
0
190
Atomic Design, Enforced: Scaling Mobile Design Systems (next.app devCon / droidCon Berlin 2026)
steliosf
PRO
0
180
ソニーのクラウド共通基盤の変遷とAI時代の開発スタイルに合わせた進化 / The Journey of Sony’s Common Cloud Platform and Its Evolution for AI-Native Development
kenjiyoneyama
0
290
PumaからFalconに移行したRailsアプリケーションでの実践
falcon8823
0
190
月間100万人のサービス刷新で、 技術選定をHonoに振り切った話
yutobara
8
6.8k
なぜCTOを降りてFDEを選んだのか?〜なぜプロダクト企業がFDEで顧客の現場に踏み込むのか〜
gonta
1
220
HTML-in-Canvasで作る未来のWeb UI表現
clockmaker
5
5.2k
Findy - エンジニア向け会社紹介/Findy Company Deck
findyinc
6
400k
エージェントを使い続けるためのメタワーク / Meta-work for keeping using the agent
rkaga
3
1.1k
Featured
See All Featured
What does AI have to do with Human Rights?
axbom
PRO
1
2.5k
Mobile First: as difficult as doing things right
swwweet
225
10k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.4k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.6k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.5k
Building Better People: How to give real-time feedback that sticks.
wjessup
371
20k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
710
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.6k
Deep Space Network (abreviated)
tonyrice
0
380
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.6k
So, you think you're a good person
axbom
PRO
2
2.2k
Leo the Paperboy
mayatellez
10
2.4k
Transcript
"84ͰՃ͢Δػցֶश ΫοΫύουגࣜձࣾ ేછ୩༔Ұ "844UBSUVQ%BZ5PLZP
ే ΄͠΄͘ͱ !LBOJ@C ΫοΫύουגࣜձࣾ ΠϯϑϥετϥΫνϟʔ෦෦ 43& ηΩϡϦςΟΤϯδχΞ
"84ೝఆ4" %FW0QTΤϯδχΞ 1SPGFTTJPOBM
None
Ϩγϐ ສҎ্ ࠃͷ݄ؒར༻ऀ ສਓ
ରԠݴޠ ݴޠΧࠃ ւ֎ͷ݄ؒར༻ऀ ສਓҎ্
ΫοΫύουͱ"84 ʹ%$͔ΒશҠߦ BQOPSUIFBTU͓ΑͼVTFBTU Λओʹར༻ άϩʔόϧαʔϏεओʹ64ͰՔಇ "NB[PO&$Πϯελϯε d
ఔ "NB[PO4ΦϒδΣΫτ ԯҎ্ SFRTҎ্ ϐʔΫ࣌ಉ࣌ϦΫΤετ
IUUQTTQFBLFSEFDLDPNLBOOZNJBPKJBOTIVNPGBMTFSPHVXPJJHBO[JOJTVSVBLJUFLVUJZB IUUQTTQFBLFSEFDLDPNBZFNPTNBDIJOFMFBSOJOHPQTBUDPPLQBE
"84SF*OWFOU IUUQTXXXTMJEFTIBSFOFU"NB[PO8FC4FSWJDFTDPODPOUBJOFSJ[FENBDIJOFMFBSOJOHPOBXT
"84ͰՃ͢Δػցֶश
ྉཧ͖Ζ͘ ΈࠐΈχϡʔϥϧωοτϫʔΫ ʹΑΔྉཧը૾ͷࣗಈೝࣝ εϚʔτϑΥϯͷࣸਅͷɺ ྉཧࣸਅΛࣗಈతʹऩूه
%&.0
None
৽͍͠ઓ ॳͷػցֶशϓϩμΫτ ηϛϦΞϧλΠϜͳը૾ೝࣝ 8FCΞϓϦέʔγϣϯͱҧ͏ϫʔΫϩʔυ ඞཁͩͬͨͷ
৽͍͠ϫʔΫϩʔυʹରͯ͠εέʔϧ͢ΔΠϯϑϥ ࣦഊͯ͠طଘͷڥʹӨڹΛ༩͑ͳ͍ಠཱͨ͠ڥ ૉૣ͘ࢼߦࡨޡΛ܁Γฦ͢ͷʹద࣮ͨ͠ݧڥ
৽͍͠ઓ ॳͷػցֶशϓϩμΫτ ηϛϦΞϧλΠϜͳը૾ೝࣝ 8FCΞϓϦέʔγϣϯͱҧ͏ϫʔΫϩʔυ ඞཁͩͬͨͷ
৽͍͠ϫʔΫϩʔυʹରͯ͠εέʔϧ͢ΔΠϯϑϥ ࣦഊͯ͠طଘͷڥʹӨڹΛ༩͑ͳ͍ಠཱͨ͠ڥ ૉૣ͘ࢼߦࡨޡΛ܁Γฦ͢ͷʹద࣮ͨ͠ݧڥ ৽͍͠αʔϏε࡞ΓΛ lՃz͢Δڥ
εέʔϥϏϦςΟͷ֬อ ༧ଌͰ͖ͳ͍τϥϑΟοΫ େྔͷը૾ΞοϓϩʔυͳͲ ಥવ57ʹհ͞ΕΔ͜ͱ͋Δ͔͠Εͳ͍ ࣮ࡍ͋ͬͨ
ը૾ͷΞοϓϩʔυఆʹ͕͔͔࣌ؒΔ dඦNT ಉظॲཧͯ͠͠·͏ͱϢʔβମݧΛѱ͘͢Δ
ඇಉظͳΞʔΩςΫνϟ ը૾Ξοϓϩʔυͱը૾ఆΛݸผʹॲཧ ͦΕͧΕΛεέʔϧ͍͢͠Α͏ͳߏʹ "NB[PO4ͷQSFTJHOFE63-ͰΞοϓϩʔυ 4OPUJpDBUJPOΛར༻͠ॲཧ͖͢ը૾ͷใ "NB[PO424
ڥͷ ͜Ε·Ͱͷ8FCαʔόڥͱҧ͏ڥ͕ٻΊΒΕͨ ҧ͏ݴޠ ҧ͏ϫʔΫϩʔυ ҧ͏ϋʔυΣΞ (16
ίϯςφڥΛར༻ ϥϯλΠϜ(16υϥΠόɺઃఆΛ "NB[PO&$4Λར༻ͯ͠ཧ طʹଟ͘ͷαʔϏε͕ίϯςφڥͰՔಇ
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ TUIVNCOBJMTKQH 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ {
bucket: thumbnails key: 123.jpg }
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ TUIVNCOBJMTKQH 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ {
bucket: thumbnails key: 123.jpg } ϝοηʔδΛ 424͔ΒऔΓग़͢ ECS Cluster
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ TUIVNCOBJMTKQH 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ {
bucket: thumbnails key: 123.jpg } ϝοηʔδΛ 424͔ΒऔΓग़͢ ECS Cluster αϜωΠϧͷμϯϩʔυ
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ TUIVNCOBJMTKQH 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ {
bucket: thumbnails key: 123.jpg } ϝοηʔδΛ 424͔ΒऔΓग़͢ ECS Cluster αϜωΠϧͷμϯϩʔυ ը૾ͷఆΛߦ͍݁ՌΛ "1*αʔόʹ௨
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ { bucket: thumbnails key: 123.jpg }
ϝοηʔδΛ 424͔ΒऔΓग़͢ ECS Cluster αϜωΠϧͷμϯϩʔυ ը૾ͷఆΛߦ͍݁ՌΛ "1*αʔόʹ௨ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ ಛผͳίʔυΠϯϑϥΛ༻ҙͤͣ εέʔϥϒϧͳߏʹ
API Server "1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ TUIVNCOBJMTKQH 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ {
bucket: thumbnails key: 123.jpg } αϜωΠϧͷμϯϩʔυ ը૾ͷఆΛߦ͍݁ՌΛ "1*αʔόʹ௨ ϝοηʔδΛ 424͔ΒऔΓग़͢ ECS Cluster ECS Cluster 424ͷΩϡʔʹԠͯ͡ &$4λεΫεέʔϧ
"1*αʔόʹ 4QSFTJHOFE63-Λཁٻ খ͍͞αϜωΠϧΛ 4όέοτʹΞοϓϩʔυ TUIVNCOBJMTKQH 4OPUJpDBUJPO͕ 424ʹೖ͞ΕΔ { bucket: thumbnails
key: 123.jpg } ϝοηʔδΛ 424͔ΒऔΓग़͢ ECS Cluster αϜωΠϧͷμϯϩʔυ ը૾ͷఆΛߦ͍݁ՌΛ "1*αʔόʹ௨ API Server API Server &$4λεΫ͔Βͷఆ݁ՌΛ͚ͭͩ
&$4্Ͱͷࣸਅఆ ࣸਅఆʹ(16Λ༻͍ͯ͠Δ ఆॲཧʹ(16ΞΫηϥϨʔγϣϯ͕ར༻Ͱ͖Δ ಉՁ֨ଳͷ$16Πϯελϯεͱൺͯdഒͷੑೳࠩ HΠϯελϯεͰࣸਅఆ༻ͷ&$4$MVTUFSΛߏ
IBLPʹΑΔΞϓϦέʔγϣϯఆٛ IBLPIUUQTHJUIVCDPNFBHMFUNUIBLP &$4ޓͷίϯςφσϓϩΠπʔϧ ZBNMKTPOOFUܗࣜͰͷΞϓϦέʔγϣϯఆٛ "VUP4DBMFɺ-#ͷࢦఆͳͲՄೳ
શ։ൃऀ͕ࣗͰఆٛΛॻ͍ͯσϓϩΠՄೳ scheduler: type: ecs region: ap-northeast-1 cluster: hako-production-g2 desired_count: 1 app: image: food-photo-classifier cpu: 128 memory: 3072 memory_reservation: 2048 env: AWS_REGION: ap-northeast-1 COOKPADNET_ENV: production ...
ӡ༻࣮ ը૾ೝࣝϞσϧΛҰΞοϓσʔτ ΞοϓσʔτΓӽ͑ɺେ͖ͳͳ͘ӡ༻Ͱ͖͍ͯΔ ສਓҎ্ ͷྉཧࣸਅΛه ͷϢʔβʔ͕ར༻ ສຕҎ্
݄ݱࡏ
৽͍͠ઓ ॳͷػցֶशϓϩμΫτ ηϛϦΞϧλΠϜͳը૾ೝࣝ 8FCΞϓϦέʔγϣϯͱҧ͏ϫʔΫϩʔυ ඞཁͩͬͨͷ
৽͍͠ϫʔΫϩʔυʹରͯ͠εέʔϧ͢ΔΠϯϑϥ✅ طଘͷڥʹӨڹΛ༩͑ͳ͍ಠཱͨ͠ڥ✅ ࢼߦࡨޡΛ܁Γฦ͢ͷʹద࣮ͨ͠ݧڥ
࣮ݧڥͮ͘Γ खΛಈ͔ͯ͠ػցֶशͷݟΛಘΔඞཁ͕͋ͬͨ "84ڥશͯΠϯϑϥ෦͕ཧ͍͕ͯͨ͠ʜ Ϧιʔεͷ༻ҙ͕͍͔ͭͳ͍ ͍ΘΏΔຊ൪ڥͷӡ༻ʹ߹Θͳ͍
ٻΊΒΕΔͷαʔϏεʹඞཁͳ࣮ݧ݁Ռ தԝཧʹݶք͕๚Εͨ ֤ࣄۀ෦ Πϯϑϥ෦ ٕज़ج൫ܥ෦ॺ ݚڀ ։ൃ෦
ݚڀ։ൃج൫ ʮ͔ͤͬ͘৮ΕΔͷ͔ͩΒউखʹਐΊΒΕΕྑ͍ʯ ݚڀ։ൃ෦ͷΤϯδχΞ͕ࣗ༝ʹखΛಈ͔ͤΔॴ ຊ൪ڥͱ͞Ε͍ͯΔ ཧ͖͢෦͚͓ͩ͑͞ɺଟ͘Λ։ൃऀҠৡ
ΞΧϯτ "84ΞΧϯτΛผʹ࡞ͯ͠ "840SHBOJ[BUJPOΛར༻ͯ͠ଞͷ༻్ʹ࡞ *".6TFSຊ൪ڥͷݸਓϢʔβ͔Β"TTVNF3PMFPS440 $MPVE5SBJM$POpHΛ༗ޮʹͯ͠PVUQVUઌΛอޢ
lى͜Δલʹ͙zͰͳ͘l͙͢ؾ͚ͮΔzlޙ͔Β͑Δz
ωοτϫʔΫڥ ౿Έ44)αʔόຊ൪ΞΧϯτͷ71$ Πϯϑϥ෦ཧ 71$1FFSJOHͰଓͯ͠ू /BNFλάΛͬͨ%/4ਖ਼Ҿ͖ɺٯҾ͖Λఏڙ "84$POpH3VMFTͰηΩϡϦςΟάϧʔϓͷΠϯλʔωοτ
ղ์ΛνΣοΫ
None
ίετཧ ࡉ͔͍ཧ͠ͳ͍͕͋ΔఔѲ ৵ೖͳͲͷΞϥʔτʹͳΔ #VEHFUTػೳΛར༻ ༧ଌֹͳͲͰ4/4/PUJpDBUJPOΛड͚औΓରԠ
None
αϙʔτͷ׆༻ σϕϩούʔαϙʔτ͔ΒΤϯλʔϓϥΠζαϙʔτͷҠߦ ࣌ؒͱࣝΛങ͏ ։ൃऀ͕ࣗͰΛղܾͰ͖ΔΑ͏ʹ ར༻نʹΑͬͯϏδωεͰͳ͍ͷͰཁݟੵΓ
։ൃऀΞΧϯτ ݚڀ։ൃ༻ͱಉ༷͕ͩશ։ൃऀ͕ࣗ༝ʹར༻Մೳ ৭ʑͳ"84αʔϏεΛձࣾ࣋ͪͰݕূͰ͖Δ
ར༻࣮ "84ΛࣗͰ৮ͬͯΈΔਓ͕ͱͯ૿͑ͨ ༷ʑͳ"84αʔϏεͷར༻ͱऔΓࠐΈ "1*(BUFXBZ -BNCEB $PHOJUP %ZOBNP%#
&MFNFOUBM.FEJB 4FSWJDF (MVF ,JOFTJT 1PMMZ 4BHF.BLFS 93BZ -FY 1JOQPJOU "QQ4ZODFUDʜ ৽ػೳɺαʔϏεͷग़ΛՃ ྉཧ͖Ζ͘ "MFYB4LJMM DPPLQBE57 FUD
ֶΜͩ͜ͱ ৽͍͜͠ͱΛૉૣ͘খ࢝͘͞ΊΔͨΊʹݖݶͱ͕ཁΔ ҆৺ͯࣗ͠༝ʹ͑Δڥͮ͘Γ͕ͦ͜ॏཁ "84ʹ࣮ݱ͢ΔͨΊͷπʔϧ͕ἧ͍ͬͯΔ
Ͳ͏͍ͬͯͨͷ͔ʁ
ࣗݾհ છ୩༔Ұ<:VJDIJSP4PNFZB> ΫοΫύουגࣜձࣾݚڀ։ൃ෦ ϦαʔνΤϯδχΞ݄d ʰػցֶशʹඞཁͳج൫Λ "84্ʹߏங͢Δʱ UXJUUFSDPN!BZFNPT@Z
HJUIVCDPNBZFNPT IUUQTXXXBZFNPTNF
εϞʔϧελʔτͰεέʔϧ͢Δ (16࣮ݧڥΛ"84্ʹߏங͢Δ
എܠΫοΫύουݚڀ։ൃ෦ ݄ʹൃ ॳظϝϯόʔ໊ ݄ݱࡏ ࠃʹ໊ ւ֎ʹ໊
ෳͷਂֶशϓϩδΣΫτ (16࣮ݧڥ͕ඞཁ ϢʔβʔϑΟʔυόοΫ ͷࣗಈλά͚ ը૾ੳʹΑΔϨγϐͷྨ Ϩγϐࡐྉ໊ͷࣗಈਖ਼نԽ
(16࣮ݧڥͷཁ݅ ෳਓ͕ෳͷ࣮ݧΛߦ͏͜ͱ͕ग़དྷΔ
&$ΠϯελϯεΛ࣮ݧڥͱͯ͠͏ ΦϯσϚϯυΠϯελϯεͷར͕͋Δ σϕϩούʔλεΫʹԠͯ͡ඞཁͳͱεϖοΫ͕มԽ͢Δ 1/7*%*"(16࠷৽Ϟσϧͷαϙʔτ ઐ༗Πϯελϯεͷར
(16λεΫجຊతʹഉଞͰɺଞͷ։ൃऀͱಉ࣌ʹར༻ͮ͠Β͍ ݚڀ։ൃతͰɺࡶʹTVEPग़དྷΔಠཱͨ͠ڥ͕ศར
(16࣮ݧڥ &$ ͕ग़དྷΔ·Ͱ &$ΠϯελϯεΛ্ཱͪ͛ɺTTIΛૄ௨ͤ͞Δ ඞཁͳιϑτΣΞͷΠϯετʔϧʗઃఆ OWJEJBESJWFS $6%"
DV%//ͳͲ݁ߏେม ".* "NB[PO.BDIJOF*NBHF ͷར༻
ιϑτΣΞɺϛυϧΣΞͷ Πϯετʔϧͱઃఆ ".*࡞ͱཧ
ιϑτΣΞɺϛυϧΣΞͷ Πϯετʔϧͱઃఆ εφοϓγϣοτ ".*ͷ࡞ ".*࡞ͱཧ
ιϑτΣΞɺϛυϧΣΞͷ Πϯετʔϧͱઃఆ ίʔυԽͯ͠όʔδϣϯཧ εφοϓγϣοτ ".*ͷ࡞ ".*࡞ͱཧ
IUUQTEPDTBXTBNB[PODPNKB@KQEMBNJMBUFTUEFWHVJEFXIBUJTEMBNJIUNM "84%FFQ-FBSOJOH".* ਂֶशʹ ຆͲͷ߹ڞ௨ͯ͠ ඞཁͳιϑτΣΞ͕ηοτ Ξοϓ͞ΕͨϚωʔδυͳ".* l/7*%*"$6%"ɺ/7*%*"DV%//ɺ͓Αͼ࠷ਓؾ͕ߴ͍σΟʔϓϥʔχϯά ϑϨʔϜϫʔΫͷ࠷৽ϦϦʔεΛ༻͢ΔΑ͏ʹࣄલʹઃఆ͞Εͯఏڙ͞Ε·͢ɻz
ࣗ࡞".* ίʔυԽͯ͠όʔδϣϯཧ εφοϓγϣοτ ".*ͷ࡞ "84 %FFQ-FBSOJOH ".* FD3VO*OTUBODFT
ࣗ࡞".* ίʔυԽͯ͠όʔδϣϯཧ εφοϓγϣοτ ".*ͷ࡞ "84 %FFQ-FBSOJOH ".* FD3VO*OTUBODFT ".*Λར༻ͯ͠ɺڥΛؚΊͯΦϯσϚϯυͳ
(16࣮ݧڥΛ࣮ݱ
".*Λར༻͢Δ͜ͱʹΑΓιϑτΣΞͷΠϯετʔϧͱઃఆ ࡞ۀΛল͘͜ͱ͕ग़དྷͨ 71$ 4FDVSJUZ(SPVQͳͲͷઃఆ߲͕͍ͬͯΔ $IBUCPUӽ͠ʹطఆΛར༻ͯ͠ΠϯελϯεΛ࡞Δ ͏ͻͱ ʙ$IBUCPU
"84-BNCEBʹΑΔ&$ͷૢ࡞ʙ
͏ͻͱ ʙ$IBUCPU "84-BNCEBʹΑΔ&$ͷૢ࡞ʙ
DSFBUFXPSLCFODI 0VUHPJOH8FCIPPLT ͏ͻͱ ʙ$IBUCPU "84-BNCEBʹΑΔ&$ͷૢ࡞ʙ
DSFBUFXPSLCFODI 0VUHPJOH8FCIPPLT TMBDL@VJE6 DPNNBOEDSFBUFXPSLCFODI MBNCEB*OWPLF FD3VO*OTUBODFT 71$ 4VCOFU /BNFλά
ڥಛ༗ͷઃఆ͜͜ͰΔ ͏ͻͱ ʙ$IBUCPU "84-BNCEBʹΑΔ&$ͷૢ࡞ʙ
*ODPNJOH8FCIPPLT ATTIBZFNPTXPSLCFODIEOTDPNQBOZA TTI ͏ͻͱ ʙ$IBUCPU "84-BNCEBʹΑΔ&$ͷૢ࡞ʙ
͞Βʹ͏ͻͱ ʙ"84-BNCEBΛར༻ͨ͠ΞΠυϧΠϯελϯεͷࢹʙ ͍ͬͯͳ͍Πϯελϯεͷམͱ͠ΕͳͲ͕ൃੜ අ༻໘Ͱେ͖ͳͰͳ͍͕ɺ͍ۙকདྷ৫֦େͷোนʹ ͳΓ͔Ͷͳ͍ ར༻୯Ձͷߴ͍Πϯελϯεʹ͍ͭͯɺΞΠυϧঢ়ଶΛࢹ
͞Βʹ͏ͻͱ ʙ"84-BNCEBΛར༻ͨ͠ΞΠυϧΠϯελϯεͷࢹʙ ;[[
͞Βʹ͏ͻͱ ʙ"84-BNCEBΛར༻ͨ͠ΞΠυϧΠϯελϯεͷࢹʙ IPVSMZ FD4UPQ*OTUBODFT ;[[
͞Βʹ͏ͻͱ ʙ"84-BNCEBΛར༻ͨ͠ΞΠυϧΠϯελϯεͷࢹʙ IPVSMZ FD4UPQ*OTUBODFT ;[[ ར༻ऀʹ௨ʗࣗಈͰ4UPQ
(16࣮ݧڥ·ͱΊ ".*ͷར༻ʹΑΔଈ࣌ར༻Մೳͳ &$ΠϯελϯεΛ4MBDL͔Βૢ࡞͢Δ ΠϯελϯεΛ্ཱͪ͛ΔࡍͷઃఆΛڞ௨Խ 4MBDLͷ*ODPNJOH8FCIPPL0VUHPJOH8FCIPPLͱ "NB[PO"1*(BUFXBZ"84-BNCEBͷΈ߹Θͤ
҆ՁͰαʔόʔϨεͳ$IBU#PU͕࣮Ͱ͖Δ
࣮ݧ͔Βຊ൪
ػցֶशϞσϧͷ։ൃͱσϓϩΠ ػցֶशϞσϧσϓϩΠ͞ΕͯॳΊͯՁΛੜΉ FHྉཧ͖Ζ͘ ϞσϧͱΞϓϦέʔγϣϯຖʹઃܭͱσϓϩΠ༻։ൃ࡞ۀ͕ੜ͡Δ ʮػցֶशΞϓϦέʔγϣϯઃܭ։ൃ୭͕Δͷ͔ʁʯ
εϞʔϧελʔτ৫ͷεέʔϥϏϦςΟʹڞʹࢧো͕ग़Δ
"NB[PO4BHF.BLFS "84ͷϚωʔδυػցֶशϓϥοτϑΥʔϜ "84SF*OWFOUͰൃද ػցֶशϞσϧͷֶशͱσϓϩΠΛαϙʔτ ϓϥοτϑΥʔϜͤͰεέʔϥϒϧͳσϓϩΠख๏
ϞχλϦϯά"#ςετͳͲϓϥοτϑΥʔϜͳΒͰͷ ػೳࠓޙʹظ
·ͱΊ
͘͢खΛಈ͔͠αʔϏεΛͭ͘ΔͨΊʹ ηϧϑαʔϏεԽ શͯΛཧ͢ΔͷͰͳ͘ τϨʔεͰ͖ΔΈͮ͘Γ $MPVE5SBJM $POGJH ΤϯλʔϓϥΠζαϙʔτͷ׆༻ ྉཧ͖Ζ͘ͷެ։
(16࣮ݧڥ ".*Λར༻ͨ͠ (16࣮ݧڥͷඋ ".* Πϯελϯεͷ མͱ͠Εࢹ Πϯελϯεཧ$IBU#PU -BNCEB $MPVE8BUDI ΦϯσϚϯυͳ(16࣮ݧڥΛ࣮ݱ
8F`SFIJSJOH IUUQTDPPLQBEKPCT