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
情報処理工学04資料 /infoeng04
Search
Kazuhisa Fujita
October 06, 2022
Technology
820
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
情報処理工学04資料 /infoeng04
Kazuhisa Fujita
October 06, 2022
More Decks by Kazuhisa Fujita
See All by Kazuhisa Fujita
人工知能ゼミ03 /aizemi03
kfujita
3
240
情報処理工学問題集 /infoeng_practices
kfujita
2
880
人工知能ゼミ1-ガイダンス- /aizemi01
kfujita
2
190
人工知能ゼミ02 /aizemi02
kfujita
0
210
人工知能時代の到来/IntroAI
kfujita
0
610
大学生活はスマホ・パソコンとともに!安全な使い方とAIのチカラ /DigitalLiteracy
kfujita
0
160
情報処理工学14資料 /infoeng14
kfujita
0
800
情報処理工学15資料 /infoeng15
kfujita
0
450
情報処理工学13資料 /infoeng13
kfujita
1
790
Other Decks in Technology
See All in Technology
おい、エージェントを使って終わらせろ
nwiizo
0
230
「守り」で活用するオンデバイスLLM 〜写ってはいけないを総力戦で防ぐ〜 / iOSDC Japan 2026
nakamuuu
0
160
Screen Lens - 今見てる画面を翻訳する
komagata
0
290
事業課題から技術的負債に向き合う
sansantech
PRO
2
1.8k
AI時代、データエンジニアが一番おもろい
genshun9
0
590
LLMに渡さなかった仕事
nanaism
0
170
10分で知る最近のOmarchy
komagata
0
320
Issue 駆動でスペシャリストの意図を届ける、AI 実装のアクセシビリティ向上
thkt
0
110
俺の仕事は AIに奪われないし、たぶんその BIも要らない
hikaruri
0
470
AIによるクリエイティブ生成を行う上での試行錯誤
plaidtech
PRO
0
140
アプリログインとWeb認証基盤をつなぐ ASWebAuthenticationSession 作法
shimastripe
1
320
2026-09-11 【Snowflake World Tour Tokyo 2026】Snowflakeを起点に、AI Agentが自律稼働し続ける未来へ / Driving AI Agents with Snowflake
civitaspo
0
400
Featured
See All Featured
The Invisible Side of Design
smashingmag
301
52k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.8k
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
6.2k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
2
1.8k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
690
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
940
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
5
650
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.7k
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
320
Code Reviewing Like a Champion
maltzj
528
40k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
240
Transcript
ใॲཧֶ ୈ̐ճ ౻ా Ұण ެཱখদେֶอ݈ҩྍֶ෦ྟচֶՊ
ը૾ ը૾ͷσʔλྔͷܭࢉϚελʔ͠Α͏ʂʂ
ը૾ʹؔ͢Δجૅࣝ
ը૾σʔλ • ը૾খ͞ͳਖ਼ํܗͷू·ΓͰදݱ͞ΕΔɽ • ͜ͷਖ਼ํܗ֨ࢠঢ়ʹฒΜͰ͍Δɽ • ͜ͷਖ਼ํܗͷ͜ͱΛըૉ͘͠ϐΫηϧͱݺͿɽ • ֤ըૉ৭ใΛ͍࣋ͬͯΔɽ •
৭ͦͷೱ୶ͷͰද͞ΕɼͦΕΛըૉͱݺͿɽ • ըૉࢄͰද͞ΕΔɽ ըૉʢϐΫηϧʣ "σδλϧԽ
ըૉ • ը૾ͷେ͖͞ըૉʢ૯ըૉʣͰදݱ͞ΕΔɽ • ը૾ͷըૉॎͷըૉYԣͷըૉͰܭࢉͰ͖Δɽ • ըૉ = ॎͷըૉ×ԣͷըૉ •
ԼਤͷըૉɼॎԣͦΕͧΕըૉͳͷͰ • 8×8 = 64ըૉ ըૉ ըૉ
ը૾ͷࢄԽ
ը૾ • ը૾ॴͱͦͷॴͷ৭ͷ̎ͭͷྔͰද͞ΕΔɽ ৭ " ॴ 𝑥 𝑦
ը૾ͷσδλϧԽ • ը૾Λσδλϧʹม͢ΔͨΊʹࢄԽ͢Δඞཁ͕͋Δɽ • ը૾ͷॴͱ৭ͷೱ୶ΛࢄԽ͢Δ͜ͱͰɼը૾ΛࢄԽ͢Δɽ • ॴͷࢄԽΛඪຊԽʢαϯϓϦϯάʣͱ͍͏ɽ • ৭ͷೱ୶ʢըૉʣͷࢄԽΛྔࢠԽͱ͍͏ɽ •
ίϯϐϡʔλͰऔΓѻ͏ʹࢄԽͨ͠Λ̎ਐʹม͢Δඞཁ ͕͋Δɽ • ͜ͷ࡞ۀΛූ߸Խͱ͍͏ɽ ৭ " ॴ 𝑥 𝑦
ը૾ͷσδλϧԽͷྲྀΕ αϯϓϦϯά ྔࢠԽ ූ߸Խ
ྔࢠԽ " ৭ͷೱ୶ࢄԽ͞ΕΔ ৭ͷೱ୶·ͩ࿈ଓ ॴ৭̎ਐʹͳΔ
ඪຊԽ αϯϓϦϯά • ը૾ΛࢄతͳྖҬʹׂ͢Δʢը૾ΛϐΫηϧͰ۠Δʣ͜ͱΛ ඪຊԽʢαϯϓϦϯάʣͱ͍͏ɽ • ͜ͷஈ֊Ͱ৭ͷೱ୶ʢըૉʣ࿈ଓͷͷ··Ͱ͋Δɽ ඪຊԽ ඪຊԽ͞ΕΔͱɼॴ͕ࢄԽ͞Ε ΔɽͦͷͨΊɼࢄԽ͞Εͨॴͷ
ըૉ͔͠ແ͍ɽͦͷͨΊɼਤͰ ըૉ͕ͱͯ͠දݱ͞Ε͍ͯΔɽ ৭ͷೱ୶Λද͢Λ ըૉͱݴ͏ɽ
ྔࢠԽ • ඪຊԽ͞Εͨը૾ɼϐΫηϧ͝ͱʹ৭ͷೱ୶ʢըૉʣΛࢄ ʹม͞ΕΔɽ • ըૉΛࢄ͢Δ͜ͱΛྔࢠԽͱ͍͏ɽ ྔࢠԽ ըૉࢄԽ͞ΕΔɽͷ࢛ࣺޒ ೖ؆୯ͳࢄԽͷํ๏Ͱ͋Δɽ࢛ ࣺޒೖ͢Δͱɼͱ͍ͬͨ
ʹؙΊΒΕΔɽͦͷͨΊɼͳ ΊΒ͔ͳมԽΛ͍ͯͨ͠ͷมԽ ͕֊ஈঢ়ͷมԽʹͳΔɽ Ґஔ ըૉ Ґஔ ըૉ ྔࢠԽ
άϨʔεέʔϧը૾
άϨʔεέʔϧը૾ͱ৭ • άϨʔεέʔϧը૾ • ޫͷ໌҉ʢೱ୶ʣͷΈදݱͰ͖Δը૾ɽ • ໌҉ΛࢄͰද͢ɽ • ըૉʹ͖ͭ৭ʢ໌҉ʣΛද͢Λ̍ͭ࣋ͭɽ •
ըૉͱݺͿɽ • දݱͰ͖Δ৭ͷ͖ݸ͋Δɽ • ӈਤͷྫͰന͔Βࠇ·Ͱͷ৭Λɼ2! = 8৭Ͱ৭Λදݱ͍ͯ͠Δɽ ֊ௐάϨʔεέʔϧ ׂʢࢄԽʣ ඞͣ̎͠ͷ͖ݸͰ͋Δඞཁͳ͍ɽ ͔͠͠ɼͷ͖ίϯϐϡʔλͱ૬ੑ ͕ྑ͍ͷͰ̎ͷ͖ݸʹ͍ͯ͠Δɽίϯ ϐϡʔλͰΛਐͰදݱ͠ͳ͚Ε ͳΒͳ͍ɽਐͰදݱͰ͖Δͷ ͷܻͰ͋Δɽͭ·ΓɼըૉΛ ਐͰදݱ͢Δͱɼͷ͖छྨͷ৭Λ දݱͰ͖Δ͜ͱʹͳΔɽ
άϨʔεέʔϧը૾ͱ৭ • άϨʔεέʔϧը૾ • දݱͰ͖Δ৭ͷΛ֊ௐͱݺͿɽ • ৭දͤΔ߹ɼ֊ௐ • ৭දͤΔ߹ɼ֊ௐ •
֊ௐϏοτɾόΠτͰදͤΔɽ͜Ε৭ͷྔࢠԽϏοτͰ͋Δɽ • ֊ௐ2!֊ௐˠϏοτ • ֊ௐ2"֊ௐˠϏοτόΠτ ֊ௐάϨʔεέʔϧ ׂʹ֊ௐˠϏοτ ྟচֶߨ࠲ҩ༻ใॲཧֶ ͳƘ< E Ǒ× Ƥ c 2j "p : gfl p : hfl 2jG Ȱ ȵ˵aJ0a]K p : ifm ਐ ࣮ࡍྔࢠԽϏοτΛܾΊ͔ͯΒ֊ௐ͕ܾ·Δɽ ྫ͑ྔࢠԽϏοτ͕Ϗοτͷ߹ɼܻͷਐ ͰըૉΛද͔͢Βɼͷݸͷ৭Λද͢͜ͱ͕Ͱ͖ Δɽ͢ͳΘͪɼܻͷਐʢϏοτʣͰ֊ௐͷ৭ ͕දͤΔ͜ͱʹͳΔɽ
άϨʔεέʔϧը૾ͱըૉ ֊ௐͷͱ͖നΛɼࠇΛʹׂΓͯΔ͜ͱ͕ଟ͍ɽ
άϨʔεέʔϧը૾ͱσʔλྔ • άϨʔεέʔϧը૾ͷσʔλྔ࣍ͷࣜͰද͞ΕΔɽ • ը૾ͷσʔλྔʹըૉ Yըૉ͋ͨΓͷσʔλྔ • ըૉ͋ͨΓͷσʔλྔ֊ௐΛϏοτͰදͨ͠ͷʢྔࢠԽϏ οτʣʹͳΔɽ •
ྫ͑ɼ֊ௐͷͱ͖ɼͭͷ৭ΛਐͰද͞ͳ͚ΕͳΒͳ͍ɽ • छྨͷਐΛ࡞ΔͨΊʹɼগͳ͘ͱਐܻͰͳ͚ΕͳΒͳ ͍ɽ • Αͬͯɼ֊ௐͷ৭Λදݱ͢ΔʹϏοτͷσʔλྔ͕ඞཁͰ͋Δɽ • ͜Εɼ֊ௐΛͷOͰදͨ͠ͱ͖ͷOͱ͍͠ʢ֊ௐ2!֊ௐˠϏο τʣɽ • Լਤ͕৭ʢ֊ௐʣͰද͞ΕΔάϨʔεέʔϧը૾ͳΒ • 8×8×3 = 192Ϗοτ = 24όΠτ ըૉ ըૉ͋ͨΓͷσʔλྔʢ֊ௐΛϏοτͰදͨ͠ͷʣ
ԋश • ըૉ͕YͷϞϊΫϩը૾Λஈ֊ͷೱͰදࣔ͢Δ ͨΊʹඞཁͳσʔλྔΛ͑Αɽͨͩ͠ɼѹॖ͍ͯ͠ͳ͍ͱ͢Δ ʢୈճࠃՈࢼݧվʣ ըૉΛܭࢉ͢Δɽ ըૉ͋ͨΓͷσʔλྔΛܭࢉ͢Δɽ ըૉͱըૉ͋ͨΓͷσʔλྔΛ͔͚Δɽ
ԋश • ըૉ͕YͷϞϊΫϩը૾Λஈ֊ͷೱͰදࣔ͢Δ ͨΊʹඞཁͳσʔλྔΛ͑Αɽͨͩ͠ɼѹॖ͍ͯ͠ͳ͍ͱ͢Δ ʢୈճࠃՈࢼݧվʣ ըૉΛܭࢉ͢Δɽ Yըૉ ըૉ͋ͨΓͷσʔλྔΛܭࢉ͢Δɽ
128 = 2"͔ͩΒ֊ௐͷ৭Λදݱ͢ΔͨΊʹϏοτඞཁͰ͋Δɽ ըૉͱըૉ͋ͨΓͷσʔλྔΛ͔͚Δɽ YϏοτ .Ϗοτ LόΠτ
ԋश • നࠇࣸਅΛºըૉɼ֊ௐͷೱ୶ը૾ͱͯ͠ɼίϯ ϐϡʔλͷϝϞϦʹอଘ͍ͨ͠ɽѹॖͳͲͷॲཧΛߦΘͳ͍߹ɼ গͳ͘ͱԿL#ʢΩϩόΠτʣͷϝϞϦ༰ྔ͕ඞཁ͔ɽͨͩ͠ɼ L##ͱ͢Δɽ ୈճ.&छ ըૉΛܭࢉ͢Δɽ ըૉ͋ͨΓͷσʔλྔΛܭࢉ͢Δɽ ըૉͱըૉ͋ͨΓͷσʔλྔΛ͔͚Δɽ
ԋश • നࠇࣸਅΛºըૉɼ֊ௐͷೱ୶ը૾ͱͯ͠ɼίϯ ϐϡʔλͷϝϞϦʹอଘ͍ͨ͠ɽѹॖͳͲͷॲཧΛߦΘͳ͍߹ɼ গͳ͘ͱԿ,#ʢΩϩόΠτʣͷϝϞϦ༰ྔ͕ඞཁ͔ɽͨͩ͠ɼ ,##ͱ͢Δɽ ୈճ.&छ ըૉΛܭࢉ͢Δɽ
૯ըૉ1024×1024ըૉͰ͋Δɽ͜͜Ͱֻ͚ࢉͷ··ʹ͓ͯ͘͠ɽ ըૉ͋ͨΓͷσʔλྔΛܭࢉ͢Δɽ 256 = 2#ͳͷͰɼ֊ௐͷ৭Λදݱ͢ΔͨΊʹϏοτඞཁͰ͋Δɽ ըૉͱըૉ͋ͨΓͷσʔλྔΛ͔͚Δɽ 1024×1024×8CJU= 1024×1024#= 1024,#
3(#Χϥʔը૾ͱ৭
ޫͷࡾݪ৭ • ̏छྨͷ৭Λ༷ࠞͥͯʑͳ৭ʢޫʣΛͭ͘ΔʢՃ๏ࠞ৭ʣɽ • ਓɼɼ੨ͷޫΛଊ͑ΔηϯαΛ࣋ͭͨΊɼɼɼ੨ͷޫΛ ࠞͥΕਓ͕ײ͡Δ৭Λͭ͘Δ͜ͱ͕Ͱ͖Δɽ • ͜ͷͨΊɼɼɼ੨ޫͷࡾݪ৭ͱݺΕΔɽ • ·ͨɼɼɼ੨Λ༻͍৭Λͭ͘Δํ๏Λ
ͦΕΒͷ಄จࣈ͔Β3(#ΧϥʔͱݺͿɽ
ڭཆɿന͍ޫͱ • Մࢹޫઢͷͯ͢ͷΛۉʹؚΉޫന͘ݟ͑Δɽ • ͜ΕΛ౿·͑Δͱɼന৭ͷޫଘࡏ͠ͳ͍ɽ • సͯ͡ɼ͍ൣғͷपͷฒΛಉఔʹؚΉϊΠζͷ͜ͱΛന৭ ࡶԻʢXIJUFOPJTFʣͱ͍͏ɽ
Χϥʔը૾ͷߏ 3(# ըૉΛ֦େ ʢ࣮ࡍʹσΟεϓϨΠ Λ֦େ͢Δͱ̍ըૉʹ ͖ͭ̏৭ݟ͑Δʣ 3ɼ(ɼ#ͦΕͧΕͷًΛද͢ը૾͕͋Δɽ ͦΕΒΛಉ࣌ʹදࣔ͢ΔͱΧϥʔը૾ʹͳΔɽ ࣮ࡍͷσΟεϓϨΠͰըૉ͝ͱʹ 3(#ͦΕͧΕʹޫΔϥΠτ͕ຒΊࠐ
·Ε͓ͯΓɼ3(#ͦΕͧΕʹରԠ͢ Δը૾Λಉ࣌ʹද͍ࣔͯ͠Δɽ ࣮ࡍͷΈͬͱෳࡶɽ
3(#Χϥʔը૾ͱ৭ • ɼɼ੨ʢ3(#ʣͷΈ߹ΘͤͰ৭Λදݱ͢Δɽ • 3 ( #ͦΕͧΕͷೱ୶ΛͰද͢ɽ • ֤৭ͷදݱͰ͖Δೱ୶ͷΛ֊ௐͱݺͿɽ •
3(#֤৭ͭͷೱ୶Ͱද͢ʢஈ֊Ͱද͢ʣͱ͖ɼ3(#ͦΕͧΕ֊ௐͰද ݱ͞Ε͍ͯΔͱ͍͏ɽ • Ұ෦ͷྫ֎Λআ͖ɼදݱͰ͖Δ৭ ֤৭ͷ֊ௐ ?ݸ͋Δɽ • 3(#ͦΕͧΕ֊ௐͰද͢߹ɼදݱͰ͖Δ৭ɼ • 8!৭ • 3(#ͦΕͧΕ֊ௐͰද͢߹ɼදݱͰ͖Δ৭ɼ • 256!ສ৭ 3(# ըૉΛ֦େ ʢ࣮ࡍʹσΟεϓϨΠ Λ֦େ͢Δͱ̍ըૉʹ ͖ͭ̏৭ݟ͑Δʣ
3(#Χϥʔը૾ͱ৭ • දݱͰ͖Δ৭ϏοτɾόΠτͰදͤΔɽ • ͜Ε৭ͷྔࢠԽϏοτͰ͋Δɽ • 8! = 2! !
= 2$৭ˠϏοτ • 256! = 2# ! = 2%&৭ˠϏοτόΠτ • ৭༷ʑͳݴ͍ํ͕Ͱ͖Δɽ • 3(#ͦΕͧΕ৭ʢ֊ௐʣ • 3(#ͦΕͧΕϏοτ • ϏοτΧϥʔ • ৭3(# 3(# ըૉΛ֦େ ʢ࣮ࡍʹσΟεϓϨΠ Λ֦େ͢Δͱ̍ըૉʹ ͖ͭ̏৭ݟ͑Δʣ
3(#Χϥʔը૾ͱσʔλྔ • 3(#Χϥʔը૾ͷσʔλྔ • ը૾ͷσʔλྔʹըૉ Yըૉ͋ͨΓͷσʔλྔ • ըૉ͋ͨΓͷσʔλྔ3(#֤৭ͷ֊ௐΛϏοτͰදͨ͠ͷʢྔࢠ ԽϏοτʣͷ૯ͳͷͰ •
ը૾ͷσʔλྔʢϏοτʣʹըૉ Y3(#֤৭ͷྔࢠԽϏοτͷ૯ • 3(#֤৭ͷྔࢠԽϏοτ͕ಉ͡ͳΒ • ը૾ͷσʔλྔʢϏοτʣʹըૉ Y3(#֤৭ͷྔࢠԽϏοτ Y • ӈਤ͕৭Ͱද͞ΕΔը૾ͳΒ • YYϏοτόΠτ ըૉ ըૉ͋ͨΓͷσʔλྔʢ֊ ௐΛϏοτͰදͨ͠ͷʣ 512 = 2! → 9Ϗοτ
ԋश • 3(#֤৭ΛCJUͰྔࢠԽͨ͠ॎըૉɼԣըૉͷը૾ͷ σʔλྔΛCZUFͰ͑Αɽͨͩ͠ɼը૾ͷѹॖϔομใͷ Ճͳ͍ͷͱ͢ΔɽʢୈճࠃՈࢼݧվʣ ըૉΛܭࢉ͢Δɽ ̍ըૉ͋ͨΓͷσʔλྔΛܭࢉ͢Δɽ
ըૉͱ̍ըૉ͋ͨΓͷσʔλྔΛ͔͚Δɽ
ԋश • 3(#֤৭ΛCJUͰྔࢠԽͨ͠ॎըૉɼԣըૉͷը૾ͷ σʔλྔΛCZUFͰ͑Αɽͨͩ͠ɼը૾ͷѹॖϔομใͷ Ճͳ͍ͷͱ͢ΔɽʢୈճࠃՈࢼݧվʣ ըૉΛܭࢉ͢Δɽ ૯ըૉYըૉͰ͋Δɽ ̍ըૉ͋ͨΓͷσʔλྔΛܭࢉ͢Δɽ
ըૉʹඞཁͳσʔλྔϏοτYϏοτόΠτͰ͋Δɽ ըૉͱ̍ըૉ͋ͨΓͷσʔλྔΛ͔͚Δɽ YόΠτόΠτ .όΠτ
ը૾ϑΝΠϧͷܗࣜ
ը૾ͷछྨ • ϥελʔը૾ʢϐΫηϧը૾ʣ • զʑ͕ීஈͷੜ׆Ͱ৮ΕΔը૾ϑΝΠϧͷ΄ͱΜͲ͕ϥελʔը૾ɽ • ը૾ΛըૉʢϐΫηϧʣͰදݱ͢Δɽ • ը૾ॲཧͰऔΓѻ͏جຊతͳը૾ɽ •
֦େॖখ͢Δͱը૾͕ߥ͘ͳΔɽ • ϕΫλʔը૾ • ը૾ΛͱͦΕΛ݁Ϳઢ໘ͷํఔࣜͷύϥϝλͰද͢ɽ • ֦େॖখΛͯ͠ը૾͕ߥ͘ͳΒͳ͍ɽ • ྫ͑ύϫʔϙΠϯτͷਤܗ
ϥελʔը૾ͷϑΝΠϧܗࣜ • 8JOEPXT#JUNBQ CNQ ɼϏοτϚοϓ • جຊతʹແѹॖͰอଘ͢ΔͨΊɼϑΝΠϧαΠζ͕େ͖͘ͳΔɽ • +1&( +PJOU1IPUPHSBQIJD&YQFSUT(SPVQ
ɼδΣʔϖά • ඇՄٯѹॖͷͨΊɼը૾ѹॖ͞Εͨݩը૾ΑΓը࣭͕ྼԽ͢Δɽ • ੩ࢭը૾ͷओྲྀͳը૾ܗࣜɽ • ࣗવը૾ͷهʹ͍͍ͯΔɽ • 1/( 1PSUBCMF/FUXPSL(SBQIJDT ɼϐϯά • ՄٯѹॖͷͨΊɼը૾ѹॖ͞Ε͍ͯΔ͕ը࣭ʹྼԽ͕ͳ͍ɽ • ಁաͷใอଘͰ͖Δɽ • (*'ɼΪϑ͘͠δϑ • ৭ҎԼͷը૾Λѻ͏͜ͱ͕Ͱ͖Δɽ • ՄٯѹॖͷͨΊɼը૾ѹॖ͞Ε͍ͯΔ͕ը࣭ʹྼԽ͕ͳ͍ɽ • ৭Ҏ্ͷ৭Λ࣋ͭը૾Λ(*'ʹม͢Δͱ৭ʹͳͬͯ͠·͏ͨΊɼ৭ͷࢹͰ ը࣭͕ྼԽ͢Δͱ͍͑Δɽ • ΞχϝʔγϣϯͷอଘͰ͖Δɽ
ϕΫλʔը૾ • 47( • 8$ʹΑͬͯ։ൃ͞Εͨɽ • Σϒͱੑ͕ߴ͍ɽ • 1PTUTDSJQU •
"EPCF4ZTUFNTʹΑΓ։ൃ͞Εͨϖʔδهड़ݴޠɽ
ಈըϑΝΠϧܗࣜ • .1&( NQH NQFH • ಈըΛѹॖͯ͠อଘ͢Δܗࣜɽ • ϏσΦ$%ͳͲͰར༻͞ΕΔɽ •
.1&( • ςϨϏ์ૹɼ%7%ͳͲͷϏσΦίϯςϯπͳͲͷͰར༻͞ΕΔɽ • .1&( NQ • ճઢอଘྖҬͷগͳ͍ϋʔυΣΞͰ༻ɽ
ԋश • ੩ࢭը૾ʹΘΕΔϑΥʔϚοτͲΕ͔ɻ ୈճྟচֶٕ࢜ ࠃՈࢼݧ ̰ɽ"4$**̱ɽ+1&(̲ɽ1/(̳ɽ.1&(̴ɽ6OJDPEF ̰ɺ̱ ̰ɺ̴
̱ɺ̲ ̲ɺ̳ ̳ɺ̴
ԋश • ੩ࢭը૾ʹΘΕΔϑΥʔϚοτͲΕ͔ɻ ୈճྟচֶٕ࢜ ࠃՈࢼݧ ̰ɽ"4$**ʢจࣈίʔυʣ ̱ɽ+1&(̲ɽ1/( ̳ɽ.1&(ʢಈըϑΥʔϚοτʣ ̴ɽ6OJDPEFʢจࣈίʔυʣ
̰ɺ̱ ̰ɺ̴ ̱ɺ̲ ̲ɺ̳ ̳ɺ̴
ԋश • σʔλѹॖʹ͍ͭͯޡ͍ͬͯΔͷͲΕ͔ɽʢୈճྟচֶٕ ࢜ࠃՈࢼݧʣ ඇՄٯతͳॲཧσʔλѹॖͰ͋Δɽ ओͳతهԱ༰ྔͷઅͰ͋Δɽ ѹॖ͞Εͨը૾ݪը૾ΑΓߴਫ਼ࡉͰ͋Δɽ
Ի৴߸ΛѹॖͰ͖Δɽ ಈըσʔλΛѹॖͰ͖Δɽ
ԋश • σʔλѹॖʹ͍ͭͯޡ͍ͬͯΔͷͲΕ͔ɽʢୈճྟচֶٕ ࢜ࠃՈࢼݧʣ ඇՄٯతͳॲཧσʔλѹॖͰ͋Δɽ ओͳతهԱ༰ྔͷઅͰ͋Δɽ ѹॖ͞Εͨը૾ݪը૾ΑΓߴਫ਼ࡉͰ͋Δɽ
Ի৴߸ΛѹॖͰ͖Δɽ ಈըσʔλΛѹॖͰ͖Δɽ ը૾Λѹॖ͢Δͱɼݩը૾ͱಉ͔͡ɼ͘͠ྼԽͨ͠ը૾ʹͳΓ·͢ɽ