graph match
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2021 ◽  
Vol 1 ◽  
pp. 32-37
Author(s):  
Rifqi Nafis Mubaroq ◽  
Nina Siti Aminah

A global positioning system (GPS) is often used as a tool for determining direction and positioning. However, GPS is weak in estimating the error, which is quite large at the actual distance, so positioning in a narrow area cannot work well. Therefore, a better method is needed to be used as a narrow-navigation system. This study aimed to determine whether RSSI has a better error than GPS for navigation devices in a narrow space or area. The method used was plotting graphs using Ms. Excel and determining the value of R square. The RSSI value was obtained through the Esp8266 device and then sent to the server via the MQTT protocol and converted using Node-Red on the Raspberry Pi. The comparison results of the Esp8266 device RSSI graph match the Laptop RSSI device as a reference. The match between the relative distance to the RSSI with the actual distance shows a 3.3-33% error. This result is considered much better than the GPS error.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Donniell E. Fishkind ◽  
Felix Parker ◽  
Hamilton Sawczuk ◽  
Lingyao Meng ◽  
Eric Bridgeford ◽  
...  

AbstractThe alignment strength of a graph matching is a quantity that gives the practitioner a measure of the correlation of the two graphs, and it can also give the practitioner a sense for whether the graph matching algorithm found the true matching. Unfortunately, when a graph matching algorithm fails to find the truth because of weak signal, there may be “phantom alignment strength” from meaningless matchings that, by random noise, have fewer disagreements than average (sometimes substantially fewer); this alignment strength may give the misleading appearance of significance. A practitioner needs to know what level of alignment strength may be phantom alignment strength and what level indicates that the graph matching algorithm obtained the true matching and is a meaningful measure of the graph correlation. The Phantom Alignment Strength Conjecture introduced here provides a principled and practical means to approach this issue. We provide empirical evidence for the conjecture, and explore its consequences.


2016 ◽  
Vol 17 (4) ◽  
pp. 135-146 ◽  
Author(s):  
Clara Shionyu-Mitsuyama ◽  
Atsushi Hijikata ◽  
Toshiyuki Tsuji ◽  
Tsuyoshi Shirai

2012 ◽  
Vol 424 (5) ◽  
pp. 379-390 ◽  
Author(s):  
Mihoko Saito ◽  
Naomi Takemura ◽  
Tsuyoshi Shirai
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