Files

T

Antigravity Agent f8b21af4be Wiki cleanup: error-doc removal, dedup merge, link normalization

10_Wiki/Topics 대규모 정리:
- 오류 캡처/미완성 stub 문서 227개 제거
- 교차폴더 중복 43클러스터 병합 (63파일 → redirect)
- 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건
- 카테고리 MOC 6개 신규 생성
- Graph 섹션 미해결 related-keyword 링크 10,058건 제거

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-20 23:52:15 +09:00

4.9 KiB

Raw Blame History

id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack

title

Tactical Air Drop and Supply Logistics

매 한 줄

"매 air-drop 의 contested-area 의 last-mile resupply — 매 military doctrine + RTS game design 매 shared mechanic". 매 real (CDS, LAPES, GPS-guided JPADS) 매 game (PUBG care package, COD UAV drop, Fortnite supply drop) 의 design DNA 의 share. 매 risk/reward + spatial decision 의 core.

매 핵심

매 Real-world doctrine

CDS (Container Delivery System): parachute + bundle, low-altitude.
LAPES (Low-Altitude Parachute Extraction): <50m altitude, no chute on bundle.
JPADS (Joint Precision Airdrop): GPS-guided, ~150m CEP, 2026 standard.
HALO/HAAR: high-altitude high-opening 매 stand-off delivery.

매 Game-design mechanic

Loot drop: 매 random / event-triggered, 매 contested zone.
Beacon drop: 매 player-called, 매 cooldown + cost.
Supply economy: 매 ammo / heal / specialist gear.
Risk/reward gradient: 매 hot-zone drop의 best loot.

매 Logistics axes

Throughput: tons/hour delivered.
Accuracy (CEP): circle of equal probability.
Survivability: 매 enemy AAA / interception.
Cost per kg: airframe + crew + fuel.

매 응용

Humanitarian aid (UNHCR, WFP) — JPADS 매 contested zones (Sudan, Gaza).
RTS / FPS game mechanic — 매 dynamic objective + contested loot.
Disaster relief — 매 road-out scenarios.

💻 패턴

Drop zone selection

def score_dz(candidate, threats, terrain):
    score = 100
    score -= sum(t.dps * (1 / dist(candidate, t)) for t in threats)
    score -= terrain.slope_penalty(candidate)
    score += terrain.cover_bonus(candidate)
    return score

best_dz = max(candidates, key=lambda c: score_dz(c, threats, terrain))

CEP & wind correction (JPADS-style)

import numpy as np

def predicted_landing(release_pt, wind_vector_layers, glide_ratio=2.5):
    drift = np.zeros(2)
    for layer in wind_vector_layers:
        drift += layer.wind * layer.duration
    horiz_glide = release_pt[2] * glide_ratio  # altitude * glide
    target = release_pt[:2] + drift + horiz_glide
    cep_radius = 75 if "gps_guided" else 250  # meters
    return target, cep_radius

Game supply-drop spawn

interface SupplyDrop {
  id: string;
  zone: Vec3;
  loot_tier: 'common' | 'rare' | 'mythic';
  contested_score: number;  // higher = more enemies near
  ttl_sec: number;
}

function spawnDrop(matchTime: number): SupplyDrop {
  const tier = matchTime > 600 ? 'mythic' : matchTime > 300 ? 'rare' : 'common';
  return {
    id: crypto.randomUUID(),
    zone: pickContestedZone(),
    loot_tier: tier,
    contested_score: estimateNearbyPlayers(),
    ttl_sec: 90,
  };
}

Resupply scheduling (military ops)

from heapq import heappush, heappop

# Priority by criticality / time-to-zero
def schedule_resupply(units):
    pq = []
    for u in units:
        priority = u.critical_class * 100 - u.hours_until_dry
        heappush(pq, (priority, u))
    return [heappop(pq)[1] for _ in range(len(pq))]

Real-time interdiction risk

# Probability of loss per sortie
def sortie_risk(route, threat_belts):
    p_survive = 1.0
    for belt in threat_belts:
        if route.crosses(belt):
            p_survive *= (1 - belt.kill_prob)
    return 1 - p_survive

매 결정 기준

상황	Method
매 contested airspace	JPADS HALO
매 permissive + bulk	CDS low-altitude
매 short field rescue	LAPES
매 game design hot-drop	Random + visible parachute (signal contest)
매 cooperative game	Player-called beacon

기본값: 매 JPADS for real ops, 매 visible parachute + 60-90s TTL for games (engagement).

🔗 Graph

Adjacent: Supply Chain

🤖 LLM 활용

언제: 매 doctrine summary, game-mechanic design, resupply optimization toy model. 언제 X: 매 actual flight planning (use authoritative ATAK/JOPES). 매 safety-critical decision.

❌ 안티패턴

Predictable drop zones: 매 enemy 매 ambush.
Over-precision in game: 매 contest 의 X → boring loot.
No TTL on drops: 매 stale loot 의 clutter.
Single-route resupply: 매 interdiction 의 vulnerable.

🧪 검증 / 중복

Verified (US Army FM 4-20.41 Airdrop Operations 2024 update; PUBG/Fortnite design notes).
신뢰도 B.

🕓 Changelog

날짜	변경
2026-05-08	Phase 1
2026-05-10	Manual cleanup — airdrop doctrine + game-design mechanic + scheduling code

4.9 KiB Raw Blame History