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
2018CMPS_Shimada01
Search
都市経営プロフェッショナルスクール
PRO
June 30, 2018
Education
320
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
2018CMPS_Shimada01
都市経営プロフェッショナルスクール
PRO
June 30, 2018
More Decks by 都市経営プロフェッショナルスクール
See All by 都市経営プロフェッショナルスクール
PPPCourse_Lec20_01
professionalschool
PRO
0
920
PPPCourse_Lec20_02
professionalschool
PRO
0
630
PPPCourse_Lec20_03(1)
professionalschool
PRO
0
640
PPPCourse_Lec20_03(2)
professionalschool
PRO
0
630
PPPCourse_Lec20_04
professionalschool
PRO
0
790
ParkCourse_Naka
professionalschool
PRO
0
81
ParkCourse_Yamazaki
professionalschool
PRO
0
160
ParkCourse_Naka
professionalschool
PRO
0
85
次世代図書館専門課程_第0回-2
professionalschool
PRO
0
270
Other Decks in Education
See All in Education
Visionary Initiative: Future Intelligence — Laying the foundations for the future of science, intelligence, and society | Science Tokyo
sciencetokyo
PRO
0
310
オンラインコミュニティ TRY部 体験マニュアル
ytapples613
0
360
Examen de Selectividad. Geografía junio 2026 (Convocatoria Ordinaria). UCLM
juanmartin2026
1
6.6k
【新規入学者様】ZEPメタバース校舎ガイド
ainischool
0
120
Enterprise UI, v2
stevekinney
0
230
2026年度春学期 統計学 第11回 分布の「型」を考える - 確率分布モデルと正規分布 (2026. 6. 11)
akiraasano
PRO
0
180
CLASSIFICATION OF CRUDE DRUGS
pawan5505
0
170
One Year of Learning English with AI @エンジニア英語キャリア Meetup #3
kekekenta
0
210
子どものためのプログラミング道場『CoderDojo』〜法人提携例〜 / Partnership with CoderDojo Japan
coderdojojapan
PRO
4
19k
データマネジメント試験対策教材1〜データマネジメント基礎〜
yoshimura_datam
1
720
「答えを出す」より「わかる」をつくる
kzkmaeda
1
290
Quality Control of Crude Drugs
pawan5505
0
130
Featured
See All Featured
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
410
Mobile First: as difficult as doing things right
swwweet
225
10k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
680
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
Are puppies a ranking factor?
jonoalderson
2
3.9k
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
230
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
430
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
3k
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.6k
Building an army of robots
kneath
306
46k
Color Theory Basics | Prateek | Gurzu
gurzu
0
460
The Language of Interfaces
destraynor
162
27k
Transcript
ެຽ࿈ܞʹΑΔΘ͔·ͷϦϊϕʔγϣϯ·ͪͮ͘Γ ౢా༸ฏ TIJNBEB!MJPOLFODIJLVDPKQ ՎࢁͷϦϊϕʔγϣϯεΫʔϧͱϦϊϕʔγϣϯ·ͪͮ͘Γߏ
َͷܗ૬Ͱ̏̏̏̍Λ๚Εਗ਼ਫ͞ΜʢϤʔμʣΛࠔͤͨ͞உ ࢈ۀ·ͪͮ͘Γہ࢈ۀ෦ৼڵ՝ӿຊ൝ ʢݱɿࢢݐઃہࢢܭը෦ࢢ࠶ੜ՝Ϧϊϕʔγϣϯਪਐઐһʣ
भͱҧ͍ɺ ݩͷडߨੜ ͨͪʹΑΓεΫʔϧޭ͕ͨ͠ɺ ࣄہͯΜ͍ͯ͜ʹX 3FOPWBSJOH*OD"MM3JHIUT3FTFSWFE 09 Part Ϧ ϊ
ϕʔγϣ ϯ·ͪͮ͘ ΓͰ ੜ·ΕมΘͬͨΤ Ϧ Ξ ʵՎࢁࢢ ʢՎࢁݝʣ Վࢁࢢͷ Ϧ ϊ ϕʔγ ϣ ϯ· ͪͮ͘ Γ ݄ͷୈճεΫʔϧ։࠵͔Β࢝· Γ · ͨ͠ɻ ݄͔Βશճͷߏݕ౼ҕһձΛ࣮ࢪ͠ɺ ࢢຽͷҙݟΛөͤͨ͞ ߏΛࡦఆ͠ ͍ͯ·͢ɻ ͜ ͜ͰՎࢁϦ ϊ ϕʔγϣ ϯ· ͪͮ ͘ Γͷྺ࢙ͱ Ҋ݅Λ· ͪͮ͘ Γ Ωʔύʔ ι ϯͷճͱ ͱ ʹհ͍ͨ͠ ·͢ɻ ɹՎࢁࢢͰ΄͔ͷํࢢͱಉ༷ ʹɺ ੜ࢈ྸਓޱͷݮগࡒةػɺ த ৺ࢢ֗ͷՁԼམͳͲ༷ʑͳࢢܦ Ӧ՝Λ๊͍͑ͯ·͢ɻ ɹͦ͜Ͱɺ ՎࢁࢢͰ·ͪͳ͔Ͱۭ͖ళ ฮΛ׆༻ͨ͠Ҭ׆ੑԽͷͨΊʹɺ ຽؒ ओಋͷެຽ࿈ܞͰϦ ϊϕʔγϣϯ·ͪͮ͘ Γ ΛਐΊ͖ͯ · ͨ͠ɻ ୈճϦ ϊ ϕʔγϣ ϯε ΫʔϧҊ݅ͷ ʮੴ༼ϙϙϩʯ ʹ࢝· Γɺ ήε τϋεͱγΣΞϋεʹੜ·ΕมΘͬͨ ʮ(VFTUIPVTF 3*$0ʯ ɺ Վࢁͷञͱ ਫลۭؒΛָ͠ΊΔ ʮਫล࠲ʯ ͳͲɺ ଟ͘ ͷ ͕݅࠶ੜ͞Εɺ ·ͪͳ͔ʹ৽͍͠ັྗΛ ੜΈग़͠ ͍ͯ·͢ɻ ɹ·ͨɺ ߦͦͷΑ ͏ͳຽؒͷಈ͖Λࢧ ͑ͳ͕Βɺ ·ͪશମͷํੑΛఆΊΔͨΊ ʹߏݕ౼ҕһձΛ։࠵ɻ ͦ͜Ͱू·ͬ ͨࢢຽͷҙݟΛөͤ͞ɺ ݄ʹ ʮΘ͔· Ϧ ϊϕʔγϣϯਪਐࢦʯ Λൃ ද͠·ͨ͠ɻ ࣭ͷߴ͍ڭҭػձࢠҭͯ ڥͷग़ɺ ਫลपลʹ͋Δۭ͖ళฮ ެڞࢪઃͷ׆༻ɺ ৽ͨͳ؍ޫઓུͳͲɺ ߏ࣮ݱͷͨΊʹͷઓུΛ࣠ʹͨ͠ϓ ϩδΣΫ τ͕ಈ͍͍ͯ·͢ɻ ɹϦϊϕʔγϣϯ·ͪͮ͘Γ͕͍Α͘Γͩ͢Ҭʹ ɺඞͣʮεʔύʔެһʯͷଘࡏ͕͋Γ·͢ɻ ɹશࠃͷϦϊϕ࣏ࣗମͷͳ͔Ͱ࣮Ҋ݅ԽτοϓΛތΔ Վࢁࢢʹɺͦͷεʔύʔެһɾӿຊ͞Μ͕͍·͢ɻ ൴ͷߦಈߟ͑ํΛΓ࣮ߦʹҠ͢͜ͱͰɺ͋ͳͨͷ· ͪʹมԽ͕๚ΕΔͣͰ͢ɻߦಈΛى͜͢͜ͱΛ·ͩ ͍᪳ͯ͠Δ ʢʁʣ ͋ͳͨͷͨΊʹɺՎࢁࢢͷϦϊϕʔ γϣϯ·ͪͮ͘Γͷग़དྷࣄͱӿຊ͞ΜͷϞνϕʔγϣϯ ͷ Ξ ο ϓ μ ϯ ͱ Τ ϐ ι ʔ υ Λ ॏ Ͷ ͯ Έ · ͠ ͨɻ ɹ ʮ͕ͯ͢͏·͍ͬͨ͘ͷͰͳ͍ɻ͏·͍͘͘·Ͱؤ ுΔʂʯ ɹϦϊϕʔγϣϯ·ͪͮ͘Γʹ͔͔ΘΔਓ͕ͨͪΑ͍͘ ͏͜ͷݴ༿ɻ࣮ࡍͲ͏ͩͬͨͷ͔ɺՎࢁࢢͱӿຊ͞ ΜͷྫΛࢀߟʹɺ͋ͳͨݩؾΛग़ͯ͠·ͪͷͨΊͷߦ ಈΛى͜͠·͠ΐ͏ʂ Θ͔·Ϧϊϕʔγϣϯ·ͪͮ͘Γͷ ཱऀӿຊ߂ͱʁ Enomoto Kazuhiro Վ ࢁ ࢢ ࢈ ۀ · ͪ ͮ ͘ Γ ہ ࢈ ۀ ෦ ৼ ڵ ՝ ۀ ৼ ڵ ൝ ӿ ຊ ߂ ᶃ ᶅ ᶉ ᶄ ᶆ ᶊ ᶇ ᶌ ͳͥɺ Վࢁݝʹ ਓࣄަྲྀͰࢲ͕ ߦ͔ͳ͍ͱ͍͚ͳ͍ͷ͔ʁ όϧޭɻ Ͱৗతͳ׆ੑԽʹ ͳ͍ͬͯͳ͍ ʂ ͖݅ͳ͕Β ߏࡦఆ༧ࢉ֫ಘ ʂ ݝி৬һ͕Ոकతͳ׆ಈΛ ࢝ΊΔ͕ɺ ແؔ৺X ͜ΕΛɺ ՎࢁͰΖ͏ͱ ૡ͘ ʂ ݴ༿Ͱɺ આ໌Ͱ͖ͳ͍ Ͳ͔͍͠X ɺ ؤுΕ ʂ ΞγελϯτͰࢀՃɺ େؒҧ͍X1$ߪೖX Γɺ ໘ന͍ɻ ͜Ε͔͠ͳ͍ͷΛ࠶֬ೝ ʂ भͱಉࣦ͡ഊΛ ͤ͞ͳ͍ͨΊʹ ʂ ৽͔Βɺ όϦόϦΔͧ ʂ ᶈ ߏࡦఆͷ༧ࢉ֫ಘʹ ѱઓۤಆX ࠷ߴͷߏΛ ࡞͢Δͧ ʂ ߏࡦఆͷ ༧ࢉ֫ಘͳΒͣ ɾ ɾ ɾ ᶋ Վ ࢁ ࢢ Ϧ ϊ ϕ ồ γ ἀ ϯ · ͪ ͮ ͘ Γ ͷ ྺ ࢙ ừ ߨ ԋ ձ Ử ɹ Ԭ ࡚ ਖ਼ ৴ ừ Π ϕ ϯ τ Ử ɹ Ո क ϒ ồ τ Ω Ỿ ϯ ϓ ʹ Վ ࢁ ν ồ Ϝ ग़ ੮ ừ ߨ ԋ ձ Ử ɹ Լ ੪ ừ ߨ ԋ ձ Ử ɹ ਗ਼ ਫ ٛ ࣍ ừ ձ ࣾ ઃ ཱ Ử ɹ α ε Χ ỽ ν ઃ ཱ ừ ε Ϋ ồ ϧ Ử ɹ ୈ ̍ ճ 34 ừ Π ϕ ϯ τ Ử ɹ ୈ ̍ ճ ϙ ϙ ϩ Ϛ ồ έ ỽ τ ։ ࠵ ˏ Ϳ Β ͘ Γ ஸ ళ ֗ ɹ ɹ ɹ ɹ ɹ ̍ ສ ਓ Ҏ ্ ͕ དྷ ừ ߨ ԋ ձ Ử ɹ ಙ ా ޫ ߂ ừ ձ ࣾ ઃ ཱ Ử ɹ ل भ · ͪ ͮ ͘ Γ ࣷ ઃ ཱ ừ τ ồ Ϋ ϥ Π ϒ ʗ ߨ ԋ ձ Ử ɹ ࢢ དྷ Ұ ỏ Ճ ౻ ೭ ʗ ଜ ߒ ừ ε Ϋ ồ ϧ ʗ Π ϕ ϯ τ Ử ɹ ୈ ̎ ճ 34 ʗ ୈ ̎ ճ ϙ ϙ ϩ ϋ ε Ϛ ồ έ ỽ τ ừ ߨ ԋ ձ Ử ɹ ી զ ෦ ণ ࢙ ừ Π ϕ ϯ τ Ử ɹ ੴ ༼ ϙ ϙ ϩ ͷ վ म ϫ ồ Ϋ γ ἀ ỽ ϓ ớ ܭ ̎ ճ Ờ ừ Π ϕ ϯ τ Ử ɹ ੴ ༼ ϙ ϙ ϩ Φ ồ ϓ ϯ ớ ୈ ̍ ճ 34 Ҋ ݅ ͕ ࣮ ݱ Ờ ừ Π ϕ ϯ τ ʗ τ ồ Ϋ ϥ Π ϒ Ử ɹ ؠ ؙ ͞ Μ ʗ ϙ ϙ ϩ ϋ ε Ϛ ồ έ ỽ τ ಉ ࣌ ։ ࠵ ừ ձ ࣾ ઃ ཱ Ử ɹ ϫ Χ Ϡ Ϛ Ϡ Ϟ Ϧ ࣷ ઃ ཱ ừ Π ϕ ϯ τ Ử ɹ ϋ ε ϒ ϧ ồ ω Φ ồ ϓ ϯ ừ ε Ϋ ồ ϧ Ử ɹ ୈ ̏ ճ 34 ừ Π ϕ ϯ τ Ử ɹ (VFTUIPVTF3*$0 Φ ồ ϓ ϯ ừ ε Ϋ ồ ϧ Ử ɹ ୈ ̐ ճ 34 ớ η ϧ ϑ Ờ ỏ ਫ ล ࠲ ͷ վ म ࣄ ։ ࢝ ừ ձ ࣾ ઃ ཱ Ử ɹ ॓ Ϋ Ϧ Τ Π ς ỹ ϒ ઃ ཱ ừ Π ϕ ϯ τ Ử ɹ ਫ ล ࠲ ϓ Ϩ Φ ồ ϓ ϯ ừ ߏ ݕ ౼ ҕ һ ձ Ử ɹ ୈ ̍ ճ ς ồ Ϛ ⽅ Ո क ͱ ෆ ಈ ࢈ Φ ồ φ ồ ừ ߏ ݕ ౼ ҕ һ ձ Ử ɹ ୈ ̎ ճ ς ồ Ϛ ⽅ ᶄ प ล Τ Ϧ Ξ ͷ ັ ྗ త ί ϯ ς ϯ π ɾ Վ ࢁ ͷ ৽ ࢈ ۀ ừ ߏ ݕ ౼ ҕ һ ձ ʗ Π ϕ ϯ τ Ử ɹ ୈ ̏ ճ ς ồ Ϛ ⽅ ࢠ ҭ ͯ ͱ ঁ ੑ ͕ ׆ ༂ Ͱ ͖ Δ · ͪ ʗ ਫ ล ࠲ ά ϥ ϯ υ Φ ồ ϓ ϯ ừ ߏ ݕ ౼ ҕ һ ձ ʗ ε Ϋ ồ ϧ Ử ɹ ୈ ̐ ճ ς ồ Ϛ ⽅ Վ ࢁ ͷ ۭ ؒ ࢿ ݯ ʗ ୈ ̑ ճ 34 ừ ߏ ݕ ౼ ҕ һ ձ Ử ɹ ୈ ̑ ճ ς ồ Ϛ ⽅ ઓ ུ త ࢢ ࡦ ͱ ެ ࿈ ܞ Ỗ ิ ॿ ۚ ͔ Β ϑ Ỹ Π φ ϯ ε Ỗ ừ ߏ ݕ ౼ ҕ һ ձ Ử ɹ ୈ ̒ ճ ς ồ Ϛ ⽅ Վ ࢁ ͷ ະ དྷ · ͱ Ί ừ ߏ Ử ɹ ủ Θ ͔ · Ϧ ϊ ϕ ồ γ ἀ ϯ ਪ ਐ ࢦ Ứ ͷ ൃ ද ˝Τϐιʔ υᶃ Վࢁݝৼڵ՝ɺ Վࢁࢢৼڵ՝Ͱܭؒ ·ͪͮ͘ ΓʹܞΘΔɻ ࢢॴͰ ʮՎࢁԼொόϧʯ Λ اը͠ɺ ςφϯ τ୳͠ͷͨΊʹຖ൩· ͪʹμ Π ϒɻ ˝Τϐιʔ υᶄ ݄ɺ ݝிͷಉ྅͔Βୈճ34ˏभͰͷ Ԭ࡚ਖ਼৴͞ΜͷϥΠ ϒΞ Ϋ τಈըΛݟͤΒΕɺ ʮՎࢁͷ ·ͪʹΘ͍ΛੜΉʹ͜Ε͔͠ͳ͍ ʂ ʯ ͱײ͡ɺ ͦͷޙɺ ಈըαΠ τʹ͋Δͯ͢ͷؔ࿈ಈըΛݟΔɻ આಘͷͨΊ ʹࢹௌձΛڧߦɺ ্࢘Λ̏࣌ؒ؈٧ʹɻ ˝Τϐιʔ υᶅ ͳΜͱ͔༧ࢉΛ֬อ͢Δɺ ؊৺ͷ34ؔऀͱͷͭͳ ͕Γͳ͠ɻ ݝͷಉ྅ͷπςΛཔΓʹɺ ެຽ࿈ܞࣄۀػߏ ͷઃཱγϯϙδϜͰਗ਼ਫٛ࣍͞ΜʹΞϙΛऔΓɺ َͷ ܗ૬ͰεΫʔϧ։࠵ΛཔΈࠐΉɻ ˝Τϐιʔ υᶆ ୈճ34ˏभʹडߨੜͱ ͯ͠ࢀՃɻ ͔͠͠ɺ ߴͷ͏͑ɺ αϙʔλʔͷͭ ΓͰ͋· Γൃݴ͠ͳ͍1$ ͓࣋ͬͯΒͣɺ େౡ๕͞ ΜΛౖܹͤ͞Δɻ ˝Τϐιʔ υᶇ ࣄલߨԋձຖճཱͪݟ͕ग़Δ΄Ͳͷେگɻ ୈճ ͷՎࢁ34ʹఆһͷഒΛ͑ ΔԠืऀ͕ࡴ౸ͨ͠ɻ ˝Τϐιʔ υᶈ 34ͷ։࠵લʹՈकձࣾΛઃཱɻ ˝Τϐιʔ υᶉ ̐ؒ΄ͱΜͲ৸͍ͯͳ͍34ظؒͷޙɺ ࿈ͷԆ ؒϫʔΫγϣ ο ϓͷ։࠵ͰϘϩϘϩʹɻ ˝Τϐιʔ υᶊ ϙϙϩϋεϚʔέ ο τʹ ̍ສਓ͕དྷ ʂ ͨ͘ ͞Μͷਓ͕͍ Δ ͜ ͱʹڻ͖ɺ ࣄۀԽʹر͕༙͘ɻ ˝Τϐιʔ υᶋ ϙϙϩϋεϚʔέο τͷ͍Ͱߏࡦఆͷ༧ࢉ֫ಘΛ ըࡦ͢Δ͕ɺ ྗෆͰ֫ಘͳΒͣɻ ˝Τϐιʔ υᶌ ϋεϒϧʔωɺ (VFTUIPVTF 3JDPͱଓʑΦʔϓϯɻ ೦ئ ͷઓུࡦఆͷ༧ࢉ֬อͰ͖Ϟνϕʔγϣ ϯ্͕͕Δɻ ͱʹ͔͘ɺ όϧΛΖ͏ͱ ҆қͳؾ࣋ͪX ࢛໘ુՎͰ νϟϨϯδɺ 0, ʂ
࣌ͷՎࢁ த׆ܭըͷࣦഊ લࢢΛͱΓҾୀ ̐Ͱ̎̑ԯԁΛத৺ࢢ֗ʹೖ ΄΅ɺՌͳ͠ʜ ୈ̍ճϦϊϕεΫʔϧͷΫϩʔδϯάͷ࣌ ͜ΜͳΓํ͋ΔͳΒࣙΊͳͯ͘Α͔ͬͨʜ
¯C©Ë¤e×EʽÁ°gÐÆC|ÉæàĀû4`§ËÝúß÷ùõ® ϦϊϕʔγϣϯεΫʔϧͰɺ༡ٳෆಈ࢈ͷΦʔφʔ͔Βఏڙ͞Εͨ݅Λରʹɺશࠃ͔Βू·ͬͨड ܴ͑ΔߨࢣਞɺࠃͷઌۦతͳϦϊϕʔγϣϯ࣮ફऀʂɹ͜͜Ͱ͔͠ମݧͰ͖ͳ͍ 4 ʮୈ̒ճϦϊϕʔγϣϯεΫʔϧ ! भʯ
̍ʣϦϊ ̎ʣηϧ ̏ʣެڞ ظɹؒɿɹ ɹ݄̏̎̌ʢʣ ʙ̎̏ʢʣ̐ؒ ձɹɿɹभখ۠ڕொ̏ஸ̏̎̌தϏϧڕொࡾ൪֗΄͔ डߨྉɿɹ࣮අ ԁʢࢿྉɺڭՊॻͱͯ͠ʣ ɹɹɹɹɹɹɹɹɹɹ ʲ֓ɹཁʳ ɹɹ डߨੜͷ ࣍ืूظؒɹɹ ɹʙ ओ࠵ भࢢɹɹڞ࠵ भϦ ϊϕʔγ ϣ ϯ·ͪͮ͘ ΓਪਐڠٞձɺҰൠࣾஂ๏ਓϦ ϊϕʔγ ϣ ϯ·ͪͮ͘ Γ ηϯλʔɹɹޙԉ भ·ͳͼͱ&4%εςʔγ ϣ ϯ ͕ؒͰ͖Δʂ·͕ͪมΘΔॠؒʹཱ ײಈͷ ؒʂ ʲืूίʔεˍਓʳ ɹ ৄ͘͠ 8&# αΠτͰˠIUUQ ݕࡧ ϦϊϕʔγϣϯεΫʔϧɹभ ̏ ϦϊϕʔγϣϯεΫʔϧͷ։࠵
ଟ༷ͳࢢܕ࢈ۀूੵΛࢦ͢ ˔ϝσΟΞɹ˔ෆಈ࢈৽ۀଶɹ˔ྲྀ௨৽ۀଶɹ˔ຊࣾɹ˔৬ਓ֗ ˔ࢢ؍ޫɹ˔ҿ৯৽ۀଶɹ˔ܕൢɾاըɾ੍࡞ɾൢചɹ ˔ҩྍɾհޢαʔϏεɹ˔αϒΧϧνϟʔɹ˔اըɾઓུ෦ɹ ˔ݐஙϦϊϕʔγϣϯʢݐங׆༻ɾਓࡐҭɾݐࡐɾ෦ʣ Ϧϊϕʔγ ϣϯ εΫʔϧ
ෆಈ࢈ εΫʔϧΛத৺ʹΩʔϚϯωο τϫʔΫΛܗ ΩʔϚϯ εϞʔϧΤϦΞͷίϛϡχςΟ ΩʔϚϯ ΩʔϚϯ ෆಈ࢈Φʔφʔ εΫʔϧडߨੜ ΩʔϚϯ ෆ ಈ ࢈ ͷ ༗ ޮ ׆ ༻Λ ر ͢ Δ Φ ʔφʔ ͕εΫʔϧʹใఏڙ ՈकࣄۀΛ࣮ફ͍ͯ͠Δਓɻ ྨࣅͷࣄۀΛߦ͍ɺ ΤϦΞͷ த৺తଘࡏͱͳ͍ͬͯΔਓɻ εΫʔϧͷडߨੜ͕ ࣮ફͷͱͯ͠ෆಈ ࢈Λ׆༻ ࿈ଓతͳϓϩδΣΫτͷ ʷ ࣋ଓతͳਓࡐഐग़ ¯)Ê~¸DuºÇɹ°±ÎÃËu²×}X¿ñüåÛàë®
Ϧϊϕʔγϣϯ·ͪͮ͘Γͷొਓ ຽؒɾߦ ෆಈ࢈Φʔφʔ ༡ٳෆಈ࢈ ༡ٳԽͨ͠ެڞࢪઃ ಓ࿏ɾެԂ ຽؒՈकձࣾ ΤϦΞϚωδϝϯτ ϦϊϕʔγϣϯσΟϕϩούʔ Ϗδωε
Φʔφʔ ·ͪͷ৽͍͠ίϯςϯπ ͜ͷೋͭΛͭͳׂ͙
None
9
։࠵ঢ়گ •ୈ̍ճεΫʔϧɹH26.2.20ʙ23ɹ ɹࣄۀܭը3ίʔε ɹडߨੜ30໊ʢࢢ19໊ɺࢢ֎11໊ʣ •ୈ̎ճεΫʔϧɹH26.10.31ʙ11.2 ɹࣄۀܭը̐ίʔε ɹडߨੜ34໊ʢࢢ17໊ɺࢢ֎17໊ʣ •ୈ̏ճεΫʔϧɹH27.11.6ʙ8ɹ ɹࣄۀܭը4ίʔε ɹडߨੜ30໊ʢࢢ14໊ɺࢢ֎16໊ʣ
•ୈ̐ճεΫʔϧɹH28.3.25ʙ27 ɹηϧϑϦϊϕʔγϣϯ̎ίʔε ɹडߨੜ18໊ʢࢢ9໊ɺࢢ֎9໊ʣ ฏ25͔ΒϦϊϕʔγϣϯεΫʔϧΛ̒ճ։࠵͠ɺ͜Ε·Ͱʹ180໊͕डߨɻ·ͨɺՈ कձࣾ6ࣾઃཱ͞Ε͍ͯΔɻ Ոकձࣾͷઃཱঢ়گ •᷂αεΧονʢH26ʣ •᷂لभ·ͪͮ͘ΓࣷʢH26ʣ •᷂ϫΧϠϚϠϞϦࣷʢH27ʣ •ୈ̑ճεΫʔϧɹH28.11.11ʙ13 ɹηϧϑϦϊϕʔγϣϯ̎ίʔε ɹडߨੜ14໊ʢࢢ໊̓ɺࢢ֎໊̓ʣ ɹࣄۀܭը̏ίʔε ɹडߨੜ27໊ʢࢢ14໊ɺࢢ֎13໊ʣ •ୈ̒ճεΫʔϧɹH29.11.3ʙ5 ɹࣄۀܭը̏ίʔε ɹडߨੜ26໊ʢࢢ13໊ɺࢢ֎13໊ʣ •᷂॓ΫϦΤΠςΟϒʢH28ʣ •᷂ਅాງՈकࣷʢH29ʣ •᷂ຊொΞϥΠΞϯεʢH30ʣʢϦϊϕϦϯά ग़ࢿʣ 10 ϦϊϕʔγϣϯεΫʔϧͷ։࠵ঢ়گͱՈकձࣾ
ʮӿຊ͞Μ͕ҟಈͨ͠ΒɺͱϦϊϕϦϯά ɹɹɹՎࢁͷϦϊϕʔγϣϯεΫʔϧͰ͖·ͤΜɻʯ ͱޱ͍ͬͯ·ͨ͠ɻ भͰ͍ۤܦݧΛͨ͋͠Δͱ͖