Fault Detection Prediction Analysis of Multi-sensor Data Fusion Architecture and Isolation Using Pseudo Sensor Enhancement Method (PSEM)

Ubiquitous measurement methods of long‐term nursing bed resource allocation based on multi‐sensor social internet of things

“…In the process of continuously advancing the integration of medical care, we have explored and developed such modes as "health-care integration," "health care cooperation," and "supporting medical cooperation" 6,7 In the bed-responsibility teaching mode, every nursing student has the opportunity and must communicate with the patient. In addition, the teacher is regularly inspected and supervised by the teacher, and the appraisal is completed after the internship to actively involve the nursing students and improve the health education process.…”

Investigation and realisation of integrated navigation system using optimal pseudo sensor enhancement method

“…Therefore, the measured states of real (blue, up) and pseudo (green, down) sensors are coupled with each other in the redundant sensors system measurements [15, 16, 18]. The configuration number denoted by C # while sensor number denoted by S #.…”

“…The calibration of the navigational system and the compensation of the amount of error during navigation is one of the most urgent procedures that help stabilise the operation of the system using multiple sensors [11–14]. In [15–18], the proposed pseudo sensor enhancement method (PSEM) was introduced to achieve the optimal structural configuration of the sensors and study the prediction of the most critical sensor. Then, a specific pseudo sensor will be integrated with the critical sensor at the same arrangement position and both are working together as a unity sensor to overcome the errors that cause malfunction of the navigational system.…”