Multisensor robust localization in various environment with correlation checking test

Probabilistic localization based on Bayesian theory has been researched as a sensor fusion method to improve the robustness of localization. Pieces of position information, generated by sensors’ observation models with consideration for noises, are fused according to Bayesian theory. However, having large noises not considered in their observation models, the sensors output erroneous position information; thus, the fusion result has a significant error, even when the other sensors output correct ones. In this research, we have proposed a sensor fusion system with a relative correlation checking test to realize robust localization. Pieces of erroneous position information, biased against others and having a negative correlation with others, are detected and excluded in our proposed system by checking their correlation between all of them. The purpose of this paper is to evaluate the robustness of our fusion system by conducting recursive localization experiments in various environments.

Disparities in registration and use of an online patient portal among older adults: findings from the LitCog cohort

Objective To document disparities in registration and use of an online patient portal among older adults. Materials and methods Data from 534 older adults were linked with information from the Northwestern Medicine Electronic Data Warehouse on patient portal registration and use of functions (secure messaging, prescription reauthorizations, checking test results, and monitoring vital statistics). Age, gender, race, education, self-reported chronic conditions, and the Newest Vital Sign health literacy measure were available from cohort data. Results Most patients (93.4%) had a patient portal access code generated for them, and among these 57.5% registered their accounts. In multivariable analyses, White patients (P < .001) and college graduates were more likely to have registered their patient portal (P = .015). Patients with marginal (P = .034) or adequate (P < .001) health literacy were also more likely to have registered their patient portal. Among those registering their accounts, most had messaged their physician (90%), checked a test result (96%), and ordered a reauthorization (55%), but few monitored their vital statistics (11%). Adequate health literacy patients were more likely to have used the messaging function (P = .003) and White patients were more likely to have accessed test results (P = .004). Higher education was consistently associated with prescription reauthorization requests (all P < .05). Discussion Among older American adults, there are stark health literacy, educational, and racial disparities in the registration, and subsequent use of an online patient portal. These population sub-group differences may exacerbate existing health disparities. Conclusions If patient portals are implemented, intervention strategies are needed to monitor and reduce disparities in their use.

Research on Multi-Channels Data Selector of Telemetry Data of BMK

To meet the requirement of testing project which multiple sets of devices need to be tested in one temperature test, a kind of data selector has been designed. The data selector can be controlled in computer-programs method or in manual method. It is composed of FPGA module, channel gating controller module, data receiving module, data retransmission module, indicator light module and power supply module. As the core of this testing device is designed as FPGA, its flexibility and simplicity has been enhanced. At the same time, the delay time of each channel can be set so that the precision in the transfer process has been improved accordingly. The stability and practicability have been validated through rigorous self-checking test and continuous-testing experiment. Using this data selector in engineering project can save the cost of hardware greatly, shorten the test time and improve the efficiency.