vault backup: 2024-11-06 22:01:57

.obsidian/workspace.json

@@ -21,8 +21,23 @@
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               "title": "2 Logistic Regression"
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@@ -235,8 +250,10 @@
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     "Biometric Systems/notes/6. Face recognition 2D.md",
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     "Senza nome.md",
@@ -255,11 +272,9 @@
     "Autonomous Networking/notes/q&a.md",
     "Foundation of data science/notes/4 L1 and L2 normalization.md",
     "Autonomous Networking/notes/7 RL.md",
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     "Autonomous Networking/notes/9 Markov processes.md",
     "Autonomous Networking/notes/7.1 K-Armed bandit problem.md",
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Autonomous Networking/notes/2 RFID.md

@@ -149,6 +149,10 @@ I look for the n (number of tags) value that minimizes the difference!
 Given N and a possible value of n, the expected number of slots with r tags is estimated as:
 ![[Pasted image 20240928181424.png]]
 
+$a_{0}=$ numero stimato di slot in cui non risponde nessun tag
+$a_{1}=$ numero stimato di slot in cui risponde un solo tag (numero di identificazioni)
+$a_{n}$ = numero stimato di slot in cui rispondono 2 o più tag
+
 ##### Inaccuracy of tag estimation for large networks
 - The estimator does not capture the possibly high variance of the number of tags
 -  The minimum distance is computed over n ranging in $[c_1 + 2c_k, 2(c1 + 2c_k)]$

Autonomous Networking/notes/6 Internet of Things.md

@@ -6,7 +6,7 @@ IoT term is used to refer to
 required features:
 - devices hetereogeneity
 - scalability
-- data ubiquitous data exchange
+- ubiquitous data exchange
 - energy-optimized solutions
 
 key features: