An In-Orbit Stereo Navigation Camera Self-Calibration Method for Planetary Rovers with Multiple Constraints

In order to complete the high-precision calibration of the planetary rover navigation camera using limited initial data in-orbit, we proposed a joint adjustment model with additional multiple constraints. Specifically, a base model was first established based on the bundle adjustment model, second-order radial and tangential distortion parameters. Then, combining the constraints of collinearity, coplanarity, known distance and relative pose invariance, a joint adjustment model was constructed to realize the in orbit self-calibration of the navigation camera. Given the problem of directionality in line extraction of the solar panel due to large differences in the gradient amplitude, an adaptive brightness-weighted line extraction method was proposed. Lastly, the Levenberg-Marquardt algorithm for nonlinear least squares was used to obtain the optimal results. To verify the proposed method, field experiments and in-orbit experiments were carried out. The results suggested that the proposed method was more accurate than the self-calibration bundle adjustment method, CAHVOR method (a camera model used in machine vision for three-dimensional measurements), and vanishing points method. The average error for the flag of China and the optical solar reflector was only 1 mm and 0.7 mm, respectively. In addition, the proposed method has been implemented in China’s deep space exploration missions.

Research on high-speed railway operation adjustment model based on priority

Purpose This paper aim at providing decision support for operational adjustment. In order to effectively reduce the external interference impact on train operation. Design/methodology/approach According to the reality that there are two kinds of high-speed trains running in China, considering the reality that there are two speed level train running in Chinese high-speed railway, this paper proposed the high-speed railway operation adjustment model based on priority, and the objective function is to minimize interference impact on train operation. Findings Adjustment strategy based on priority than based on sequence can effectively reduce the interference influence on train operation, which makes the train resume the planned operation back on schedule more quickly. Research limitations/implications The solution of large-scale cases is too slow, and the practical application is limited. Originality/value The model was verified by a case, and the case results proved that adjustment strategy based on priority than based on sequence can effectively reduce the interference influence on train operation, which makes the train resume the planned operation back on schedule more quickly.

Abstract 11372: A Risk-Adjustment Model for Patients Presenting to Hospitals with Out-of-Hospital Cardiac Arrest and ST-Elevation Myocardial Infarction

Background: Given the diversity of patients resuscitated from out-of-hospital cardiac arrest (OHCA) complicated by STEMI, adequate risk adjustment is needed to account for potential differences in case-mix to reflect the quality of percutaneous coronary intervention. Objectives: We sought to build a risk-adjustment model of in-hospital mortality outcomes for patients with OHCA and STEMI requiring emergent angiography. Methods: Within the Cardiac Arrest Registry to Enhance Survival, we included adult patients with OHCA and STEMI who underwent angiography within 2 hours from January 2013 to December 2019. Using pre-hospital patient and arrest characteristics, multivariable logistic regression models were developed for in-hospital mortality. We then described model calibration, discrimination, and variability in patients’ unadjusted and adjusted mortality rates. Results: Of 2,999 hospitalized patients with OHCA and STEMI who underwent emergent angiography (mean age 61.2 ±12.0, 23.1% female, 64.6% white), 996 (33.2%) died. The final risk-adjustment model for mortality included higher age, unwitnessed arrest, non-shockable rhythms, not having sustained return of spontaneous circulation upon hospital arrival, and higher total resuscitation time on scene ( C -statistic, 0.804 with excellent calibration). The risk-adjusted proportion of patients died varied substantially and ranged from 7.8% at the 10 th percentile to 74.5% at the 90 th percentile (Figure). Conclusions: Through leveraging data from a large, multi-site registry of OHCA patients, we identified several key factors for better risk-adjustment for mortality-based quality measures. We found that STEMI patients with OHCA have highly variable mortality risk and should not be considered as a single category in public reporting. These findings can lay the foundation to build quality measures to further optimize care for the patient with OHCA and STEMI.

Acculturation in the Inheritance Law of the Dayak Ngaju community

The Dayak community, as an agrarian community, respects and upholds the noble values of their ancestors. These values strongly affect their social and cultural system, including the customs and traditions of inheritance settlement. This research is descriptive-analytic using a phenomenology approach. The aim is to identify the uniqueness of the traditional heritage of the Dayak Ngaju tribe in Palangka Raya through the perspective of acculturation theory of culture and law. The study shows that the acculturation model that occurs in Palangka Raya is an adjustment model, in which the process of adjustment and adaptation of one culture to other cultures occurs without forming a new culture. In addition, this study also finds that the community kinship system also influences the application of inheritance law among the Ngaju Dayak indigenous people, Palangka Raya, Central Kalimantan.

DETERMINANTS OF MUDHARABAH FINANCING IN INDONESIA (PARTIAL ADJUSMENT MODEL APPROACH)

Penelitian ini dilakukan untuk mengetahui pengaruh Capital Adequacy Ratio (CAR), Return On Asset (ROA), tingkat bagi hasil, tingkat inflasi, dan nilai tukar terhadap pembiayaan mudharabah pada Bank Umum Syariah di Indonesia baik secara parsial ataupun simultan. Jenis data yang digunakan adalah data time series dimana periode waktunya dari tahun Januari 2017 sampai Oktober 2019. Metode analisis data yang digunakan untuk melihat pengaruh variabel independen terhadap variabel dependen yaitu metode Partial Adjustment Model (PAM) dengan menggunakan Eviews 7 serta melakukan uji asumsi klasik. Secara simultan hasil penelitian ini menunjukkan bahwa variabel Capital Adequacy Ratio (CAR), Return On Asset (ROA), tingkat bagi hasil, tingkat inflasi, dan nilai tukar berpengaruh terhadap pembiayaan mudharabah Bank Umum Syariah di Indonesia. Selanjutnya secara parsial dalam jangka panjang dan jangka pendek didapatkan hasil bahwa variabel Capital Adequacy Ratio (CAR) berpengaruh negatif signifikan terhadap pembiayaan mudharabah Bank Umum Syariah di Indonesia, variabel Return On Asset (ROA), tingkat bagi hasil, dan nilai tukar berpengaruh positif dan signifikan terhadap pembiayaan mudharabah Bank Umum Syariah di Indonesia, sedangkan variabel tingkat inflasi berpengaruh tidak signifikan terhadap pembiayaan mudharabah Bank Umum Syariah di Indonesia.