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
侵入検知システムのためのグラフ構造に基づいた機械学習および可視化 / Graph Bas...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
kumagallium
March 08, 2019
Research
1.9k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
侵入検知システムのためのグラフ構造に基づいた機械学習および可視化 / Graph Based Machine Learning and Visualization for Intrusion Detection System
第44回インターネットと運用技術研究発表会
https://www.iot.ipsj.or.jp/meeting/44-program/
kumagallium
March 08, 2019
More Decks by kumagallium
See All by kumagallium
研究所が作る実験科学者向けノート eureco
kumagallium
0
190
ITRCmeet48_MasayaKUMAGAI
kumagallium
0
150
FIT2020_MasayaKUMAGAI
kumagallium
1
270
(長尺版)超個体型データセンターにおける群知能クラスタリングの利用構想 / [Long version] Clustering using swarm intelligence for data center like superorganism
kumagallium
0
3.3k
超個体型データセンターにおける群知能クラスタリングの利用構想 / Clustering using swarm intelligence for data center like superorganism
kumagallium
0
400
私の研究のこれまでとこれから2019 / My past research and my future research
kumagallium
1
280
分野横断的思考を活かした機械学習の取り組み〜材料工学×情報工学〜 / Application of cross-disciplinary thinking for machine learning
kumagallium
2
3.5k
疎構造学習およびグラフ畳み込みニューラルネットワークによる異常検知 / Anomaly detection by the method combined with sparse structure learn- ing and graph convolutional neural network
kumagallium
0
2.7k
Other Decks in Research
See All in Research
SAM3を用いたコマ・吹き出しの 領域検出と分割構造からの読み順推定
kzmssk
0
180
2025年度秋葉原ウォーカブルプロジェクト調査報告 「アキバらしいウォーカブル」とは何か
izumiyama_lab
1
240
XDPerf: A High-Performance Traffic Generator Built with WASM and eBPF
takehaya
1
340
Karkada さんの論文 × 2 の紹介: (1) Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models, (2) Symmetry in language statistics shapes the geometry of model representations
eumesy
PRO
1
840
最先端NLP勉強会2026 論文紹介:Reasoning with Sampling: Your Base Model is Smarter Than You Think (ICLR 2026 paper)
kogoro
4
700
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
260
Easy to Guess, Hard to Verify: Lessons from AIMO 3 for Olympiad-Level AI Mathematics
corochann
0
130
CDCL を用いた MILP の厳密解法
imai448
0
300
Santé et fertilité des sols : ce que nous disent les pratiques dans les systèmes de polyculture-élevage
institutdelelevage
PRO
0
120
ros2-perf-multihost: Automated Coordination Framework for Objective Architecture Evaluation in Distributed Systems
takasehideki
0
140
横浜市長(山中氏)の言動にかかる第三者による調査報告書
sishi2026
0
630
Byzantine Eventual Consistency for Reliable Local-First Software
ept
0
190
Featured
See All Featured
The Limits of Empathy - UXLibs8
cassininazir
2
710
How to Talk to Developers About Accessibility
jct
2
570
Darren the Foodie - Storyboard
khoart
PRO
4
4k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2.2k
Fantastic passwords and where to find them - at NoRuKo
philnash
53
4k
Building Applications with DynamoDB
mza
96
7.2k
Abbi's Birthday
coloredviolet
4
10k
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
360
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
530
We Have a Design System, Now What?
morganepeng
55
8.4k
The World Runs on Bad Software
bkeepers
PRO
72
12k
Prompt Engineering for Job Search
mfonobong
0
500
Transcript
3 3 9 2 0 4 -78 -78 8 1
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄɿڭࢣ͋Γֶशܕ ·ͱΊ
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄɿڭࢣ͋Γֶशܕ ·ͱΊ
ਤ μʔΫωοτʹ͓͚Δؒ૯؍ଌύέοτ ԯԯԯ ԯ ԯ ԯ ԯ ԯ
ԯ ԯ ԯ ਤ Πϯλʔωοτʹଓ͕Մೳͳػثٴͼηϯαʔ ωοτϫʔΫͷͱͯ͠ΘΕΔͷ ૯লใ௨৴നॻɿIUUQXXXTPVNVHPKQNFOV@TFJTBLVIBLVTZPJOEFYIUNM /*$5&3؍ଌϨϙʔτɿ IUUQTXXXOJDUHPKQDZCFSSFQPSU/*$5&3@SFQPSU@QEG զʑ͕ීஈར༻͢ΔΠϯλʔωοτɼεϚϗ*P5σόΠεͷٸͳීٴ ʹ͍ɼࠓ͔ܽ͢͜ͱ͕Ͱ͖ͳ͍ࣾձج൫ͱͳ͍ͬͯΔɽͱ͜Ζ͕ɼαΠό ʔ߈ܸͷڴҖʑ૿Ճ͍ͯ͠ΔɽͦͷͨΊɼαΠόʔ߈ܸରࡦͷඞཁੑ͕ߴ ·͖͍ͬͯͯΔɽ
α Π ό ʔ ߈ ܸ ର ࡦ
ͷ ̍ ͭ ͱ ͠ ͯ ɼ ෆ ਖ਼ ͳ ௨ ৴ Λ ݕ ͢ Δ ৵ೖݕγεςϜ *%4 *OUSVTJPO %FUFDUJPO 4ZTUFN ͕ଘࡏ͢Δɽ ಛʹ࠷ۙͰɼػցֶशܕ*%4ͷݚڀ͕ΜʹߦΘΕ͍ͯΔɽ ͦΕͧΕҟͳΔརΛ༗͍ͯ͠Δ ڭࢣ͋Γֶशܕ ϥϕϧͷ͍ͭͨڭࢣσʔλΛֶश͢ Δख๏ • Lۙ๏ • χϡʔϥϧωοτϫʔΫ ͳͲ ਖ਼ৗσʔλ ҟৗσʔλ ֶश Ϟσϧ ৽نσʔλ Ϟσϧ طͷ߈ܸʹ༗ޮ σʔλͷେଟਖ਼ৗͰ͋ΔͱԾఆͯ͠ɼ ਖ਼ৗσʔλͷΈΛֶश͢Δख๏ • LNFBOT๏ • 0OFDMBTT47. ͳͲ ڭࢣͳֶ͠शܕ ະͷ߈ܸʹ༗ޮ ֶश ৽نσʔλ ਖ਼ৗσʔλ ਖ਼ৗϞσϧ ਖ਼ৗϞσϧ
ҟৗݕ τϥϑΟοΫ ݕূ ରॲ ͲΜͳҟৗʁ ຊʹҟৗʁ ਖ਼ৗҟৗ
ҟৗͷछྨ ख๏ ༧ଌਫ਼ ֶशର จݙ χϡʔϥϧωοτϫʔΫ ਖ਼ৗҟৗ αϙʔτϕΫλʔϚγϯ ਖ਼ৗҟৗ -45. ҟৗͷछྨʢछʣ ϕΠδΞϯωοτϫʔΫ ҟৗͷछྨʢछʣ ද ػցֶशܕ*%4ͷઌߦݚڀͷྫ ͢Ͱʹߴ͍༧ଌਫ਼͕ใࠂ͕ଘࡏ ଟ͘ͷ࣌ؒΛඅ͢ 4.VLLBNBMB FUBM 5SBJOJOH +,JNFUBM ``JO1SPD*OU$POG1MBUGPSN5FDIOPM4FSWJDF r 4$IFCSPMV FUBM $PNQVUFST4FDVSJUZ ݕূʹଟ͘ͷ࣌ؒΛඅ͢͜ͱΛආ͚ΔͨΊɼݕূͷॿ͚ʹͳΔஅࡐྉͷఏ ڙ͕ඞཁͰ͋Δɽ
ը૾ॲཧͷͰɼೖྗը૾ͷͲͷ෦͕ॏཁͰ͋Δ͔Λఆྔత͓Αͼ ͦΕʹج͍ͮͨՄࢹԽʹΑͬͯఆ݁ՌΛઆ໌͢Δख๏͕͢ͰʹఏҊ͞Ε͍ͯΔ ਤ ఆ݁ՌͷՄࢹԽʹΑΔઆ໌ΛՄೳʹͨ͠ઌߦݚڀ .3JCFJSP 44JOHIBOE$(VFTUSJO *O1SPDFFEJOHTPGUIFOE"$.4*(,%%*OUFS
OBUJPOBM$POGFSFODFPO,OPXMFEHF%JTDPWFSZBOE %BUB.JOJOH ,%% 3'POH "7FEBMEJ *O1SPDFFEJOHTPG1SPDFFEJOHTPGUIF*&&&*OUFSOBUJPOBM$POGFSFODFPO$PNQVUFS7JTJPO *$$7 ਤ ఆ݁ՌͷՄࢹԽʹΑΔઆ໌ΛՄೳʹͨ͠ઌߦݚڀ
ը૾ॲཧͷͰɼೖྗը૾ͷͲͷ෦͕ॏཁͰ͋Δ͔Λఆྔత͓Αͼ ͦΕʹج͍ͮͨՄࢹԽʹΑͬͯఆ݁ՌΛઆ໌͢Δख๏͕͢ͰʹఏҊ͞Ε͍ͯΔ ਤ ఆ݁ՌͷՄࢹԽʹΑΔઆ໌ΛՄೳʹͨ͠ઌߦݚڀ .3JCFJSP 44JOHIBOE$(VFTUSJO *O1SPDFFEJOHTPGUIFOE"$.4*(,%%*OUFS
OBUJPOBM$POGFSFODFPO,OPXMFEHF %JTDPWFSZBOE%BUB.JOJOH ,%% 3'POH "7FEBMEJ *O1SPDFFEJOHTPG1SPDFFEJOHTPGUIF*&&&*OUFSOBUJPOBM$POGFSFODFPO$PNQVUFS7JTJPO *$$7 ਤ ఆ݁ՌͷՄࢹԽʹΑΔઆ໌ΛՄೳʹͨ͠ઌߦݚڀ *%4ʹ͓͍ͯɼ τϥϑΟοΫͷͲͷཁૉ͕ݕ݁Ռʹରͯ͠Өڹ͍͔ͯͨ͠ Λ ఆྔతʹج͍ͮͨՄࢹԽʹΑͬͯઆ໌ Ͱ͖Εɼݕূͷॿ͚ͱͳΔ
DARPA 1998 Dataset
*1 5$1 )551 4:/ "$, ྫʣ ֤ϑΟʔϧυใɼϓϩτίϧʹैͬͨ࣌ܥྻతڍಈΛࣔ͢ɽ 4ZO 4ZO "DL "DL ྫ ΣΠϋϯυγΣΠΫ τϥϑΟοΫσʔλΛෳͷཁૉͱͦΕΒͷؔੑΛײతʹཧղͰ͖Δ άϥϑߏͰදݱ͢Δ͜ͱʹணͨ͠ɽ ҎԼͷఆٛʹΑΓɼτϥϑΟοΫΛάϥϑߏԽ͢Δɽ ϊʔυɿϑΟʔϧυใ ΤοδɿϑΟʔϧυใͷ࣌ܥྻతڍಈͷ૬ؔ άϥϑߏԽ
*1
5$1 )551 4:/ "$, 4ZO 4ZO "DL "DL 4ZO 4ZO "DL *1 5$1 )551 4:/ "$, ૬ؔؔͷ่Ε ڭࢣͳֶ͠श ˠ ҟৗ ˠ ਖ਼ৗ άϥϑߏԽ ྫʣ ϥϕϧͷ༩ ڭࢣ͋Γֶश τϥϑΟοΫͷάϥϑߏԽΛར༻͠ɼఆྔతʹج͍ͮͨՄࢹԽʹΑ ͬͯݕ݁Ռʢҟৗʣͷઆ໌͕Ͱ͖Δػցֶशܕ*%4ͷ࣮ݱΛతͱ͢Δɽ छྨͷػցֶशख๏ ՄࢹԽͷྫʣ ϊʔυ ෦άϥϑ
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄɿڭࢣ͋Γֶशܕ ·ͱΊ
ఏҊख๏ᶄ ڭࢣ͋Γֶशܕ %"31" ෳͷ࣌ܥྻಛྔΛநग़ ରࠩܥྻσʔλͷม ඪ४Խ ૄߏֶशʢ(SBQIJDBM-BTTPʣ
άϥϑͷ่Ε άϥϑΈࠐΈ // ఏҊख๏ᶃ ڭࢣͳֶ͠शܕ άϥϑߏԽͨ͠τϥϑΟοΫσʔλʹج͍ͮͨ̎छྨͷػցֶशख๏Λ ར༻ͨ͠*%4ΛఏҊ͢Δɽ લॲཧ σʔληοτ άϥϑߏԽ ఏҊख๏ᶃɼᶄ
ि ༵ ߈໊ܸ ࣌ؒ ݄ GPSNBU
݄ GGC Ր MPBENPEVMF ʜ ʜ ʜ ʜ ۚ OFQUVOF ۚ TNVSG ۚ OFQUVOF ۚ CBDL ද %"31"%BUBTFUͷ߈ܸใ ఏҊख๏Ͱɼϥϕϧ͕༩͞ΕͨύέοτΩϟϓνϟܕͷτϥϑΟοΫ͕ ඞཁͰ͋ΔͨΊɼ%"31"Λ༻ͨ͠ɽຊσʔληοτɼԾతʹߏங ͨ͠ωοτϫʔΫͷ߈ܸΛఆͨ͠ͱ͖ͷ5DQEVNQσʔλ͓Αͼ߈ܸใΛ ఏڙ͍ͯ͠Δɽ 4:/GMPPE 4NVSG %"31"σʔληοτ dि ͷ͏ͪɼ िͷ༵ۚͷσʔλΛ༻ͨ͠ 4ZO 4ZO "DL QJOH
ఏҊख๏ᶃ ڭࢣͳֶ͠शܕ छྨͷ࣌ܥྻಛྔʹղ ରࠩ ࠩ %"31" ෳͷ࣌ܥྻಛྔΛநग़
ରࠩܥྻσʔλͷม ඪ४Խ ૄߏֶशʢ(SBQIJDBM-BTTPʣ άϥϑͷ่Ε άϥϑΈࠐΈ // ఏҊख๏ᶄ ڭࢣ͋Γֶशܕ
ʜ ʜ %"31" ෳͷ࣌ܥྻಛྔΛநग़ ରࠩܥྻσʔλͷม ඪ४Խ ૄߏֶशʢ(SBQIJDBM-BTTPʣ ΟϯυαΠζ
ຊݚڀͰɼ-੍͖ͷૄߏֶशख ๏Ͱ͋Δ(SBQIJDBM-BTTPΛར༻͠ɼͷ ΟϯυαΠζͰάϥϑߏԽͨ͠ɽ ఏҊख๏ᶃ ڭࢣͳֶ͠शܕ άϥϑͷ่Ε άϥϑΈࠐΈ // ఏҊख๏ᶄ ڭࢣ͋Γֶशܕ
ʜ ʜ ૄߏֶशʢ(SBQIJDBM-BTTPʣ άϥϑͷ่Ε ఏҊख๏ᶃ ڭࢣͳֶ͠शܕ ਖ਼ৗάϥϑ άϥϑO άϥϑN
ҟৗɿਖ਼ৗͳ૬ؔάϥϑ͕ͲΕ่͚ͩΕ͔ͨ ʜ ʜ ΟϯυαΠζ %"31" ෳͷ࣌ܥྻಛྔΛநग़ ରࠩܥྻσʔλͷม ඪ४Խ άϥϑΈࠐΈ // ఏҊख๏ᶄ ڭࢣ͋Γֶशܕ 5*EF "$-P[BOP /"CFBOE:-JV1SPYJNJUZ CBTFE"OPNBMZ%FUFDUJPOVTJOH4QBSTF4USVDUVSF-FBSO JOH *O1SPDFFEJOHTPG *&&&*OUFSOBUJPOBM$PO GFSFODF PO"DPVTUJDT 4QFFDIBOE4JHOBM1SPDFTTJOH *$"441 ˞άϥϑߏͷఆٛ෦ʹಠࣗੑ͋Δ͕ɼάϥ ϑߏͷ่ΕʹΑΔҟৗݕɼҪखΒ ͕ఏҊ ͨ͠ख๏Λར༻͍ͯ͠Δɽ
ʜ ʜ ΟϯυαΠζ ఏҊख๏ᶄ ڭࢣ͋Γֶशܕ
ग़ྗ: ʢਖ਼ৗҟৗʣ ྨ 1PPMJOH 'JOHFSQSJOU 1PPMJOH 'JOHFSQSJOU ̍ۙ ۙ ʜ ʜ // ˎ 8 ˎ 8 ˎ 8 $POW $POW ˎ 8 ˎ 8 ˎ 8 ೖྗ ૄߏֶशʢ(SBQIJDBM-BTTPʣ άϥϑΈࠐΈ // %"31" ෳͷ࣌ܥྻಛྔΛநग़ ରࠩܥྻσʔλͷม ඪ४Խ ఏҊख๏ᶃ ڭࢣͳֶ͠शܕ άϥϑͷ่Ε άϥϑΈࠐΈχϡʔϥϧωοτϫʔΫ 'JOHFSQSJOUɿ ࠷େۙɿ ӅΕαΠζɿ όοναΠζɿ ΤϙοΫɿ σʔλͷׂ߹ʢ܇࿅ɿݕূʣɿ70:30 ($//ͷֶशύϥϝʔλ
άϥϑΈࠐΈχϡʔϥϧωοτϫʔΫʢ($//ʣ IUUQTMJCSBSZOBJTUKQNZMJNFEJPEMMJNFEJPTIPXQEGDHJ%-1%'3@1 $//ͷ߹ ($//ͷ߹ $//ͷ߹ɼݩը૾ͱϑΟϧλʔͱͷΈࠐΈԋࢉʹΑΓɼಛఆըૉͱपΓ ͷըૉͱͷؔੑʢಛʣΛ࣍ͷͱ͢ɽ($//ɼϊʔυʹΑͬͯۙϊ ʔυͷҟͳΔ͕ɼ$//ͱಉ༷ʹϊʔυͱͦͷपΓͷϊʔυͱͷؔੑΛ ΈࠐΈԋࢉʹΑΓ࣍ͷͱ͢ɽ
ਤ άϥϑΈࠐΈχϡʔϥϧωοτϫʔΫͷུ֓ਤ͓Αͼάϥϑදݱ ਤ ΈࠐΈԋࢉͷྫ͓Αͼάϥϑදݱ ग़ྗ: ʢਖ਼ৗҟৗʣ ྨ 1PPMJOH 'JOHFSQSJOU 1PPMJOH 'JOHFSQSJOU ̍ۙ ۙ ʜ ʜ // ˎ 8 ˎ 8 ˎ 8 $POW $POW ˎ 8 ˎ 8 ˎ 8 ೖྗ ݩը૾ ϑΟϧλʔ I I I I
άϥϑΈࠐΈχϡʔϥϧωοτϫʔΫʢ($//ʣ %BWJE%VWFOBVE FUBM *OUIF1SPD/*14 .POUSFBM $BOBEB %FDFNFCFS
ຊݚڀͰɼ($//ͷதͰ/'1 /FVSBM 'JOHFS 1SJOUΛར༻͢Δɽઌߦݚڀ ͰɼಟੑͳͲͷߴਫ਼ͳ༧ଌʹޭ͠ɼ'JOHFS 1SJOUͷੜʹޭͨ͠ɽ 'JOHFS 1SJOUɼೖྗͨ͠άϥϑߏΛ࣍ݩϕΫτϧͰදݱͨ͠ͷͰ͋Δɽ ֤Ϗοτ͕෦άϥϑʹ૬͠ɼ͕݁Ռʢಟੑʣʹର͢ΔӨڹ ʹ૬͢Δɽ ਤ ಟੑΛ༧ଌ͢ΔͨΊʹ࠷దԽ͞Εͨ'JOHFS1SJOUͷՄࢹԽ ग़ྗ: ʢਖ਼ৗҟৗʣ ྨ 1PPMJOH 'JOHFSQSJOU 1PPMJOH 'JOHFSQSJOU ̍ۙ ۙ ʜ ʜ // ˎ 8 ˎ 8 ˎ 8 $POW $POW ˎ 8 ˎ 8 ˎ 8 ೖྗ ಟ ੑ ʜ ˞ਖ਼֬ʹɼͰͳ͘d·Ͱͷ 'JOHFS1SJOU ਤ /'1ͷωοτϫʔΫུ֓ਤ
άϥϑΈࠐΈχϡʔϥϧωοτϫʔΫʢ($//ʣ %BWJE%VWFOBVE FUBM *OUIF1SPD/*14 .POUSFBM $BOBEB %FDFNFCFS
ຊݚڀͰɼ($//ͷதͰ/'1 /FVSBM 'JOHFS 1SJOUΛར༻͢Δɽઌߦݚڀ ͰɼಟੑͳͲͷߴਫ਼ͳ༧ଌʹޭ͠ɼ'JOHFS 1SJOUͷੜʹޭͨ͠ɽ 'JOHFS 1SJOUɼೖྗͨ͠άϥϑߏΛ࣍ݩϕΫτϧͰදݱͨ͠ͷͰ͋Δɽ ֤Ϗοτ͕෦άϥϑʹ૬͠ɼ͕݁Ռʢಟੑʣʹର͢ΔӨڹ ʹ૬͢Δɽ ਤ ಟੑΛ༧ଌ͢ΔͨΊʹ࠷దԽ͞Εͨ'JOHFS1SJOUͷՄࢹԽ ग़ྗ: ʢਖ਼ৗҟৗʣ ྨ 1PPMJOH 'JOHFSQSJOU 1PPMJOH 'JOHFSQSJOU ̍ۙ ۙ ʜ ʜ // ˎ 8 ˎ 8 ˎ 8 $POW $POW ˎ 8 ˎ 8 ˎ 8 ೖྗ ಟ ੑ ʜ ˞ਖ਼֬ʹɼͰͳ͘d·Ͱͷ 'JOHFS1SJOU ਤ /'1ͷωοτϫʔΫུ֓ਤ άϥϑԽͨ͠τϥϑΟοΫσʔλΛ($//Ͱֶश͢Δ͜ͱʹΑΓɼ ݕ݁ՌʢҟৗʣΛઆ໌Ͱ͖Δ෦άϥϑͷՄࢹԽ͕Ͱ͖Δͱߟ͑ΒΕΔɽ
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄɿڭࢣ͋Γֶशܕ ·ͱΊ
τϥϑΟοΫσʔλͷάϥϑԽ छྨͷ࣌ܥྻಛྔʹ- ੍͖ͷૄߏֶशख๏(SBQIJDBM -BTTPΛద ༻ͨ݁͠Ռɼૄͳ૬ؔؔͷάϥϑߏ͕ಘΒΕΔ͜ͱΛ֬ೝͨ͠ɽ ૄͳάϥϑߏʹ͢Δ͜ͱʹΑΓɼใྔͷѹॖϊΠζͷؤڧੑʹ༗ޮͰ ͋Δͱߟ͑ΒΕΔɽ (SBQIJDBM-BTTP ਤ
τϥϑΟοΫσʔλ͔Β࡞ͨ͠άϥϑߏ(SBQIJDBM-BTTPͷద༻લ͓Αͼ ద༻ޙ
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄɿڭࢣ͋Γֶशܕ ·ͱΊ
ਖ਼ৗঢ়ଶͷάϥϑߏ άϥϑͷ࣌ܥྻ ҟৗɿਖ਼ৗͳ૬͕ؔͲͷఔ่Ε͔ͨ ਖ਼ৗঢ়ଶͱԾఆͨ͠୯Ұͷάϥϑߏͱάϥϑͷ࣌ܥྻσʔλͱͷҧ͍Λҟ ৗͱ͠ɼΧϧόοΫɾϥΠϒϥʔڑʹΑͬͯܭࢉΛߦͬͨ ࣌ؒU
࣌ؒU ҟৗ E 4SD*1 5$1
ਤ %"31"ͷਖ਼ղσʔλ͓Αͼ֤࣌ܥྻಛྔ ͱఏҊख๏ ʹΑͬͯݕͨ͠ҟৗͷՄࢹԽ݁Ռ ҟৗɿ 5$1
)551ɼ4:/ɼ ൪ϙʔτʹର͢Δ4:/qPPE߈ܸ ҟৗ̎ɿ 4SD*1 *$.1ɼ ෳૹ৴ݩ*1͔Β ͭͷૹ৴ઌ*1ʹ ରͯ͠ߦΘΕͨ4NVSG߈ܸ ҟৗ̎ ҟৗ̍ 4ZO 4ZO "DL QJOH
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄɿڭࢣ͋Γֶशܕ ·ͱΊ
ਖ਼ղσʔλ ༧ଌ݁Ռ άϥϑߏԽͨ͠τϥϑΟοΫσʔλΛ($//Ͱֶशͨ݁͠Ռɼ༧ଌਫ਼͕ ͱͳͬͨɽ͜ͷઌߦݚڀͰใࠂ͞Ε͍ͯΔͱಉఔʹߴ͍Ͱ͋Δɽ ਤ ਖ਼ղσʔλ͓ΑͼֶशϞσϧʹΑΔ༧ଌ݁Ռ
ख๏ ༧ଌਫ਼ จݙ χϡʔϥϧωοτϫʔΫ αϙʔτϕΫλʔϚγϯ -45. ϕΠδΞϯωοτϫʔΫ ද ػցֶशܕ*%4ͷઌߦݚڀͷྫ 4.VLLBNBMB FUBM 5SBJOJOH +,JNFUBM ``JO1SPD*OU$POG1MBUGPSN5FDIOPM4FSWJDF r 4$IFCSPMV FUBM $PNQVUFST4FDVSJUZ
($//Ͱֶशͨ͠ϞσϧΛར༻͠ɼ'JOHFS 1SJOUͷऔಘʹޭͨ͠ɽ 4:/GMPPE߈ܸ࣌ɼҟৗ͕ݕ͞Εɼ'JOHFS 1SJOUͰߴ͍ӨڹΛࣔ͢෦ άϥϑɼ)551ͱ4:/ͷ૬ؔؔʹؔ࿈͢ΔͷͰ͋ͬͨɽ (a)
(b) ਤ 'JOHFSQSJOU͓ΑͼҟৗͷཁҼͱͳͬͨ෦άϥϑͷҰྫ4:/GMPPE߈ܸ ෦άϥϑ 'JOHFS1SJOU Өڹ
4NVSG߈ܸ࣌ɼ'JOHFS1SJOUͷӨڹͷߴ͍෦άϥϑɼૹ৴ݩ*1͓Αͼ *$.1ͷ૬ؔؔʹؔ࿈͢ΔͷͰ͋ͬͨɽ ఏҊख๏ᶄͰϊʔυؒͷ૬ؔؔʢ෦άϥϑʣͷՄࢹԽͰ͖ΔͨΊɼϊ ʔυͷՄࢹԽͷΈͰ͋ͬͨఏҊख๏ᶃΑΓ۩ମతͳઆ໌ੑ͕ظͰ͖Δɽ (b) ਤ
'JOHFSQSJOU͓ΑͼҟৗͷཁҼͱͳͬͨ෦άϥϑͷҰྫ4:/GMPPE߈ܸ ෦άϥϑ 'JOHFS1SJOU Өڹ
ग़ྗ: ʢਖ਼ৗҟৗʣ ྨ 1PPMJOH 'JOHFSQSJOU 1PPMJOH 'JOHFSQSJOU ̍ۙ ۙ ʜ ʜ // ˎ 8 ˎ 8 ˎ 8 $POW $POW ˎ 8 ˎ 8 ˎ 8 ೖྗ ఏҊख๏ᶄͰɼ ਖ਼ৗঢ়ଶ͓Αͼҟৗঢ়ଶΛ෦άϥϑ୯ҐͰֶश͢ΔͨΊɼෳͷਖ਼ৗঢ় ଶ͕ଘࡏ͢Δ߹ʹؤڧͳݕ͕ظͰ͖Δɽ ਤ /'1ͷωοτϫʔΫུ֓ਤ ఏҊख๏ᶃͷ՝ ୯Ұͷਖ਼ৗঢ়ଶΛԾఆ͍ͯ͠ΔͨΊɼෳͷਖ਼ৗঢ়ଶʢ࣌ؒґଘڥґଘͳ Ͳʣ͕ଘࡏ͢Δ߹ʹޡݕ͢Δ߹͕༧͞ΕΔɽ
എܠ త ఏҊख๏ ࣮ݧ݁Ռ τϥϑΟοΫσʔλͷάϥϑԽ ఏҊख๏ᶃɿڭࢣͳֶ͠शܕ
ఏҊख๏ᶄڭࢣ͋Γֶशܕ ·ͱΊ
·ͱΊ • τϥϑΟοΫσʔλͷάϥϑߏԽʹޭͨ͠ɽ • άϥϑߏʹج͍ͮͨ̎छྨͷػցֶशख๏ ʢڭࢣͳֶ͠शܕ͓Αͼڭࢣ͋ΓֶशܕʣΛఏ Ҋͨ͠ɽ •
ҟৗݕͷΈͳΒͣɼݕ݁ՌΛఆྔతͳ ʹج͍ͮͨϊʔυ෦άϥϑͷՄࢹԽʹΑͬ ͯઆ໌Ͱ͖Δ*%4࣮ݱͷՄೳੑΛࣔͨ͠ɽ ࠓޙͷ՝ • ࠷৽σʔληοτͰͷ༗ޮੑݕূ • ϊʔυͷछྨͷ࠶ݕ౼ • ڭࢣ͋Γͳ͠ͷΈ߹ΘͤʹΑΔઆ໌ੑͷ্ ఏҊख๏ᶄ ڭࢣ͋Γֶशܕ %"31" ෳͷ࣌ܥྻಛྔΛநग़ ରࠩܥྻσʔλͷม ඪ४Խ ૄߏֶशʢ(SBQIJDBM-BTTPʣ άϥϑͷ่Ε άϥϑΈࠐΈ // ఏҊख๏ᶃ ڭࢣͳֶ͠शܕ ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠