vault backup: 2024-11-06 22:00:13
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2 changed files with 22 additions and 33 deletions
51
.obsidian/workspace.json
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51
.obsidian/workspace.json
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@ -13,30 +13,15 @@
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"state": {
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"type": "markdown",
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"state": {
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"file": "Autonomous Networking/notes/4 WSN Routing.md",
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"file": "Autonomous Networking/notes/q&a.md",
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"mode": "source",
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"source": false
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},
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"icon": "lucide-file",
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"title": "4 WSN Routing"
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}
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},
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{
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"id": "c39824468f7b070e",
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"type": "leaf",
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"state": {
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"type": "markdown",
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"state": {
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"file": "conflict-files-obsidian-git.md",
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"mode": "source",
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"source": false
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},
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"icon": "lucide-file",
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"title": "conflict-files-obsidian-git"
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"title": "q&a"
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}
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}
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],
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"currentTab": 1
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]
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}
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],
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"direction": "vertical"
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@ -108,7 +93,7 @@
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"state": {
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"type": "backlink",
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"state": {
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"file": "conflict-files-obsidian-git.md",
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"file": "Autonomous Networking/notes/q&a.md",
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"collapseAll": false,
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"extraContext": false,
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"sortOrder": "alphabetical",
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@ -118,7 +103,7 @@
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"unlinkedCollapsed": true
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},
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"icon": "links-coming-in",
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"title": "Backlinks for conflict-files-obsidian-git"
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"title": "Backlinks for q&a"
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}
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},
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{
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@ -127,12 +112,12 @@
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"state": {
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"type": "outgoing-link",
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"state": {
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"file": "conflict-files-obsidian-git.md",
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"file": "Autonomous Networking/notes/q&a.md",
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"linksCollapsed": false,
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"unlinkedCollapsed": true
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},
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"icon": "links-going-out",
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"title": "Outgoing links from conflict-files-obsidian-git"
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"title": "Outgoing links from q&a"
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}
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},
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{
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@ -154,10 +139,10 @@
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"state": {
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"type": "outline",
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"state": {
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"file": "conflict-files-obsidian-git.md"
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"file": "Autonomous Networking/notes/q&a.md"
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},
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"icon": "lucide-list",
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"title": "Outline of conflict-files-obsidian-git"
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"title": "Outline of q&a"
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}
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},
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{
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@ -206,13 +191,19 @@
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"companion:Toggle completion": false
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}
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},
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"active": "c39824468f7b070e",
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"active": "86cc34a714fe2576",
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"lastOpenFiles": [
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"Autonomous Networking/notes/2 RFID.md",
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"Autonomous Networking/notes/6 Internet of Things.md",
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"Autonomous Networking/notes/5 Drones.md",
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"Biometric Systems/notes/6. Face recognition 2D.md",
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"Biometric Systems/notes/4. Face detection.md",
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"Biometric Systems/notes/3. Recognition Reliability.md",
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"Biometric Systems/notes/2. Performance indexes.md",
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"Biometric Systems/notes/1. Introduction.md",
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"Autonomous Networking/notes/4 WSN Routing.md",
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"conflict-files-obsidian-git.md",
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"Foundation of data science/notes/4 L1 and L2 normalization.md",
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"Autonomous Networking/notes/5 Drones.md",
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"Autonomous Networking/notes/6 Internet of Things.md",
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"Autonomous Networking/notes/7.2 10 arm testbed - optimism in face of uncertainty.md",
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"Autonomous Networking/notes/7.1 K-Armed bandit problem.md",
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"Autonomous Networking/notes/7 RL.md",
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@ -222,7 +213,6 @@
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"Autonomous Networking/slides/AutonomousNet-Class13-2122-Optimal_policy_and_Qlearning.pdf",
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"Autonomous Networking/notes/9 Markov processes.md",
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"Autonomous Networking/slides/6 IoT.pdf",
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"Autonomous Networking/notes/2 RFID.md",
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"Foundation of data science/notes/2 Logistic Regression.md",
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"Foundation of data science/notes/3 Multi Class Binary Classification.md",
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"Chats/New Chat.md",
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@ -231,8 +221,6 @@
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"Autonomous Networking/images/Pasted image 20241031144640.png",
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"Biometric Systems/slides/LEZIONE6_Face recognition2D.pdf",
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"Biometric Systems/slides/Biometric_System___Notes.pdf",
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"Biometric Systems/notes/6. Face recognition 2D.md",
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"Biometric Systems/notes/4. Face detection.md",
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"Biometric Systems/images/Pasted image 20241031104526.png",
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"Biometric Systems/images/Pasted image 20241031104206.png",
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"Biometric Systems/images/Pasted image 20241031102640.png",
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@ -251,9 +239,6 @@
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"Autonomous Networking/notes/3 WSN MAC.md",
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"Autonomous Networking/notes/6.1 RL.md",
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"Biometric Systems/notes/4. Face recognition.md",
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"Biometric Systems/notes/3. Recognition Reliability.md",
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"Foundation of data science/slides/notes 2.md",
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"Biometric Systems/notes/2. Performance indexes.md",
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"Senza nome.canvas"
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]
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}
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@ -149,6 +149,10 @@ I look for the n (number of tags) value that minimizes the difference!
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Given N and a possible value of n, the expected number of slots with r tags is estimated as:
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![[Pasted image 20240928181424.png]]
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$a_{0}=$ numero stimato di slot in cui non risponde nessun tag
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$a_{1}=$ numero stimato di slot in cui risponde un solo tag (numero di identificazioni)
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$a_{n}$ = numero stimato di slot in cui rispondono 2 o più tag
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##### Inaccuracy of tag estimation for large networks
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- The estimator does not capture the possibly high variance of the number of tags
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- The minimum distance is computed over n ranging in $[c_1 + 2c_k, 2(c1 + 2c_k)]$
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