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https://github.com/ruvnet/RuView
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rUv
4e879bf62a
User request: organise examples/research-sota/ into folders with READMEs and main overview. Moved 46 files into 9 thematic folders by thread family + research category: 01-physics-floor/ (R1, R6, R6.1) — bedrock primitives 02-placement/ (R6.2 family, 7 sub-ticks) — antenna placement 03-spatial-intelligence/ (R5, R7) — saliency + mincut 04-rssi/ (R8, R9) — RSSI-only sensing 05-cross-room-reid/ (R3 arc, 3 ticks) — cross-room identity 06-structure-detection/ (R12 arc, 3 ticks) — PABS + closed loop 07-negative-results/ (R13) — productive failure 08-verticals/ (R10, R11) — wildlife + maritime physics 09-quantum-fusion/ (R20.1) — ADR-114 quantum-classical demo Each folder has its own README.md documenting: - Scripts + headlines table - Why this folder bounds / composes with others - Sample output / honest scope - Cross-references to related loop notes + ADRs Main README.md at the top covers: - Folder map with thread numbers - Cross-folder dependency graph - Headline findings table (8 entries) - Reading order for newcomers (4 scripts in suggested order) - Honest scope (synthetic-physics caveats) All git mv operations preserve file history. Total: 46 files moved, 10 new READMEs (main + 9 sub) totalling ~1300 lines of organising documentation.
118 lines
2.2 KiB
JSON
118 lines
2.2 KiB
JSON
{
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"room": {
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"width_m": 5.0,
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"height_m": 5.0
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},
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"freq_ghz": 2.4,
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"body_zones": [
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{
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"name": "bed",
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"x": 1.5,
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"y": 0.5,
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"w": 2.0,
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"h": 1.5
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},
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{
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"name": "chair",
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"x": 3.5,
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"y": 3.5,
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"w": 0.8,
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"h": 0.8
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},
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{
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"name": "desk",
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"x": 0.2,
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"y": 2.5,
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"w": 1.0,
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"h": 0.6
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}
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],
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"chest_zones": [
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{
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"name": "bed_chest",
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"x": 2.2,
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"y": 0.8,
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"w": 0.6,
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"h": 0.4
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},
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{
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"name": "chair_chest",
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"x": 3.7,
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"y": 3.7,
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"w": 0.4,
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"h": 0.4
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},
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{
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"name": "desk_chest",
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"x": 0.5,
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"y": 2.7,
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"w": 0.4,
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"h": 0.2
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}
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],
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"best_body_centric": {
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"score": 0.493006993006993,
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"tx": [
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4.25,
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0.0
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],
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"rx": [
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0.0,
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3.25
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],
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"link_m": 5.350233639758174,
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"per_zone": {
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"bed": {
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"area_m2": 3.0000000000000004,
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"covered_m2": 1.6175000000000004,
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"coverage_fraction": 0.5391666666666667
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},
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"chair": {
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"area_m2": 0.6400000000000001,
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"covered_m2": 0.0,
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"coverage_fraction": 0.0
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},
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"desk": {
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"area_m2": 0.6500000000000001,
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"covered_m2": 0.4975000000000001,
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"coverage_fraction": 0.7653846153846153
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}
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}
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},
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"best_chest_centric": {
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"score": 0.8235294117647058,
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"tx": [
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2.0,
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0.0
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],
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"rx": [
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4.5,
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5.0
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],
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"link_m": 5.5901699437494745,
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"per_zone": {
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"bed_chest": {
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"area_m2": 0.29250000000000004,
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"covered_m2": 0.28750000000000003,
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"coverage_fraction": 0.9829059829059829
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},
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"chair_chest": {
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"area_m2": 0.20250000000000004,
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"covered_m2": 0.20250000000000004,
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"coverage_fraction": 1.0
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},
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"desk_chest": {
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"area_m2": 0.10000000000000002,
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"covered_m2": 0.0,
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"coverage_fraction": 0.0
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}
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}
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},
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"cross_eval": {
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"body_pl_on_chest": 0.5546218487394958,
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"chest_pl_on_body": 0.40326340326340326,
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"chest_gain_pp": 26.890756302521,
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"body_loss_pp": 8.974358974358976
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},
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"verdict": "CHEST-CENTRIC WINS: significant placement-strategy change. R6.2.3 should be a CLI option."
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} |