To appreciate the process control of collapse in the tunnel construction, a three-stage risk evaluation method of collapse when you look at the whole building procedure for superficial tunnels ended up being placed ahead. Firstly, according to the manufacturing geology and hydrogeology information obtained within the prospecting phase, a fuzzy type of initial threat evaluation based on disaster-pregnant environment aspects was proposed to give you a reference when it comes to optimization design of construction and support systems in the design phase. Next, the disaster-pregnant environment facets had been corrected based on the acquired information, such as advanced geological forecast and geological sketch, plus the disaster-causing factors had been introduced. An extension concept type of secondary danger analysis had been established to steer the reasonable excavation and major support schemes. Finally, the disaster-pregnant and disaster-causing facets had been corrected according to the excavation condition, an attribute type of final danger analysis for the failure had been built with the mechanical response list of this surrounding rock. Meanwhile, the danger acceptance criteria and construction decision-making approach to the collapse when you look at the shallow hidden tunnels had been created to effectively implement the multi-level risk control over this threat. The suggested method has been successfully placed on the Huangjiazhuang tunnel of the South Shandong High-Speed Railway. The contrast indicated that the assessment answers are highly consistent for those useful circumstances, which confirm the applying value of this research for directing the safe construction of shallow hidden tunnels.In purchase to solve the imbalance of demand-capacity and airspace obstruction, improve the overall performance of the on the way air-traffic management, advertise the development of air-traffic control automation system in the future, this paper proposes an En route air traffic control procedure model from the perspective of operation needs. Taking the minimization of procedure time, instantaneous density, maximum lateral displacement and air traffic controllers’ work due to the fact optimization goals, the commonly used environment traffic control instructions such climb and descent and speed constraint tend to be set as constraints, the algorithm is made in line with the air traffic control scheme, and a whole air-traffic control process are modeled which outputs guidelines for each plane. Finally, the design is put on an instance study when you look at the northwest region of Asia. The simulation results show that compared with the specific operation process, the full total procedure time is paid down by 18.6%, the variance associated with horizontal displacement additionally the straight split are efficiently reduced, plus the on the way air traffic capacity is enhanced. The proposed design envisages the following two innovations (ⅰ) the whole means of air traffic controllers’ demand is considered when you look at the model, especially the control plan and various kinds of guidelines, and (ⅱ) the on the way historical trajectory data of plane is used to due to the fact crucial variables of this feedback data to efficiently yield the acceptable link between the model. By quantifying the procedure requirements of air traffic control, this model also can stabilize the circulation of traffic movement density, lessen the application price philosophy of medicine of horizontal airspace, relieve flight disputes on air channels, and decrease the work of controllers. To explore the soft ultrasound marker (USM) coupled with non-invasive prenatal evaluation (NIPT) in diagnosing fetal chromosomal abnormalities predicated on machine learning and information mining methods. To analyze the information of ultrasonic assessment from 856 cases with risky single pregnancy during early and middle pregnancy stage. NIPT ended up being used in 642 patients. All 856 clients accepted amniocentesis and chromosome karyotype evaluation to determine the efficacy of USM, Down’s problem screening, and NIPT in finding fetal chromosomal abnormalities. One of the 856 fetuses, 129 fetuses (15.07%) with solitary positive USM and 36 fetuses (4.21%) with several good USM. There were 81 fetuses (9.46%) with chromosomal abnormalities. In the team with multiple USM, chromosomal abnormalities had been found in 36.11% of these. It absolutely was greater than the team diagnostic medicine without USM, that was 6.22per cent (P < 0.01), and also the group with only just one USM (19.38%, P < 0.05). The sensitiveness, specificity and reliability were 96.72%, 98.45% and 98.29% once the combination of USM, Down’s syndrome assessment and NIPT had been utilized to diagnose fetal chromosomal abnormalities further evaluating find more the accuracy and effectiveness of the above diagnostic criteria and methods with mainstream Classifiers based analysis indicators of accuracy, f1 rating, AUC.
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