Regression Analysis for Estimated Distance in Fingerprinting-Based WLAN Outdoor Localization System

Author(s):  
Sutiyo ◽  
Risanuri Hidayat ◽  
Sunarno ◽  
I Wayan Mustika
Neurosurgery ◽  
2009 ◽  
Vol 64 (suppl_2) ◽  
pp. A110-A122 ◽  
Author(s):  
Kenichi Saito ◽  
Masami Fujii ◽  
Koji Kajiwara ◽  
Michiyasu Suzuki

Abstract OBJECTIVE Immobilization of the head during stereotactic radiotherapy (STR) has, until recently, been fundamental for ensuring accuracy. We developed a continuous motion monitoring system (SiteTrack) to detect and quantify head movement during CyberKnife (Accuray, Inc., Sunnyvale, CA) STR and Leksell (Elekta AB, Stockholm, Sweden) frame fixation. In this study, we present findings obtained during tests of SiteTrack. METHODS SiteTrack is composed of a potentiometer with 4 encoders connected through 4 threads tied to the plastic buttons attached to the thermoplastic mask, in the case of CyberKnife, or by 3 threads directly connected to the Leksell frame. The accuracy of SiteTrack was studied with a phantom using the target localization system of the CyberKnife. During CyberKnife treatment, SiteTrack software sends an emergency stop signal (E-stop) if the patient moves beyond a limit. Seventy-three cases of CyberKnife STR and 7 cases of Leksell frame fixation were monitored. RESULTS In the phantom study, regression analysis showed a significant correlation between SiteTrack and target localization system parameters. The expected root mean square position error at the moment of E-stop was 0.62 ± 0.44 mm when the E-stop limit was set at ±0.5 mm. Twenty-two (30%) of 73 patients kept still during CyberKnife treatment (<0.5 mm); 51 (70%) of 73 patients moved more than 0.5 mm and, thus, caused E-stops. SiteTrack monitoring during frame fixation showed motion beyond ±1 mm in 4 cases and ±0.5 mm in 3 other cases. CONCLUSION Significant head movement can occur during CyberKnife treatment or fixation with a Leksell frame. SiteTrack may improve the accuracy of the CyberKnife as well as frame-based STR.


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Ping Yi ◽  
Minjie Yu ◽  
Ziqiao Zhou ◽  
Wei Xu ◽  
Qingquan Zhang ◽  
...  

Indoor localization, an emerging technology in location based service (LBS), is now playing a more and more important role both in commercial and in civilian industry. Global position system (GPS) is the most popular solution in outdoor localization field, and the accuracy is around 10 meter error in positioning. However, with complex obstacles in buildings, problems rise in the “last mile” of localization field, which encourage a momentum of indoor localization. The traditional indoor localization system is either range-based or fingerprinting-based, which requires a lot of time and efforts to do the predeployment. In this paper, we present a 3-dimensional on-demand indoor localization system (3D-ODIL), which can be fingerprint-free and deployed rapidly in a multistorey building. The 3D-ODIL consists of two phases, vertical localization and horizontal localization. On vertical direction, we propose multistorey differential (MSD) algorithm and implement it to fulfill the vertical localization, which can greatly reduce the number of anchors deployed. We use enhanced field division (EFD) algorithm to conduct the horizontal localization. EFD algorithm is a range-free algorithm, the main idea of which is to dynamically divide the field within different signature area and position the target. The accuracy and performance have been validated through our extensive analysis and systematic experiments.


2021 ◽  
Author(s):  
Eric Hideo Yoshitome ◽  
João Vitor Rodrigues Cruz ◽  
Marcos Eduardo Pivaro Monteiro ◽  
João Luiz Rebelatto

Sign in / Sign up

Export Citation Format

Share Document