移动终端下施工质量验评数据采集分析仿真

传统施工质量验评数据采集分析仅可在PC端实现,时效性和便携性差,且采集精度低。为此,提出一种新的移动终端下的施工质量验评数据采集方法。移动终端硬件选用单核OMAP3430处理器,结合外围模块,在需求出现变化的情况下,通过插拔外围模块灵活控制移动终端功能的实现。施工质量验评数据采集关键技术通过一元线性回归法将间隔小的几个采样点拟合成一条直线,按照直线斜率对采样频率进行自适应调整。依据NWF模糊综合评价法评价结果,通过贝叶斯法对施工质量验评数据异常点进行识别,也就是将后验概率大的采样点看作异常值,完成对采集施工质量验评数据的分析。实验结果表面,所提方法采集分析结果准确,时效性高。

An evaluation equation of TG experiment data based on iso-conversion method for activation energy

The iso-conversion method to could calculate the kinetics parameters effectively, the present paper built an evaluation equation for iso-conversion methods according to the thermo kinetics integral equation and analyses the temperatures of the same degree of conversion for different heating rates by ideal TG （thermo-gravity） curve data. It is obtained that the temperatures of the same degree of conversion for different heating rates＇ TG curve have good linearity connection validating the correction of the evaluation equation for iso-conversion methods and the scope of linear slope for theratio between heating rates being 2 is 1.05 to 1.09.

Error assessment of laser cutting predictions by semi-supervised learning

Experimentation data of perspex glass sheet cutting, using CO2 laser, with missing values were modelled with semi-supervised artificial neural networks. Factorial design of experiment was selected for the verification of orthogonal array based model prediction. It shows improvement in modelling of edge quality and kerf width by applying semi-supervised learning algorithm, based on novel error assessment on simulations. The results are expected to depict better prediction on average by utilizing the systematic randomized techniques to initialize the neural network weights and increase the number of initialization. Missing values handling is difficult with statistical tools and supervised learning techniques; on the other hand, semi-supervised learning generates better results with the smallest datasets even with missing values.

Evaluation of the Earth＇s Magnetospheric Magnetic Field Models by Means of Cosmic Ray Data

At present, there are no reliable methods to evaluate uncertainty of model representation of magnetic field （MF） in the whole volume of the Earth＇s magnetosphere. Cosmic ray intensity distribution on the Earth surface contains information on the space distribution of magnetospheric MF through which charged particles propagate. Feasibility and limitations of cosmic ray data to be a tool for the validation of magnetospheric MF models have been analyzed. The authors＇ approach is based on the fact that time variations of magnetospheric cosmic ray are related to the changes in geomagnetic cutoff rigidities. The obtained cutoff rigidity changes by the trajectory tracing method in the MF model with those obtained on the base of experimental cosmic ray data have also been compared. The obtained results have shown that cosmic ray data can be successfully used for validation of models in presenting the dynamic structure of magnetospheric MF at mid latitudes.

Empirical Analysis of Evaluation of English Teachers＇ Educational Ability Under MOOC Environment

In order to improve the English teachers＇ education ability evaluation accuracy, promote the upgrading of the level of English teacher education, the evaluation model of English teacher education ability is proposed in MOOC environment. Data fusion model of English teacher education ability evaluation index is obtained based on big data analysis method, data clustering analysis of English teaching evaluation indicators is carried out, Characteristic data of English Teaching are extracted, and combining fuzzy C means algorithm to analyze the characteristics of English teachers＇ educational ability in MOOC environment, adaptive mining evaluation of English teachers＇ educational ability is realized. Then we develop and design the evaluation system of English teacher education ability under the MOOC environment. The empirical data analysis is taken, and results show that it has good accuracy by using this method for evaluation of English teacher＇s ability, it improves the comprehensive evaluation level of English teachers.

Using the traditional model to evaluate the active force of the human lateral rectus muscle

The information on the force of extraocular muscles(EOMs)is beneficial for strabismus diagnosis and surgical planning,and a direct and simple method is important for surgeons to obtain these forces.Based on the traditional model,a numerical simulation method was proposed to achieve this aim,and then the active force of the lateral rectus(LR)muscle was successfully simulated when the eye rotated every angle from 0°to 30°in the horizontal plane from the nasal to the temporal side.In order to verify these simulations,the results were compared with the previous experimental data.The comparison shows that the simulation results diverged much more than the experimental data in the range of 0°–10°.The errors were corrected to make the simulation results closer to the experimental data.Finally,a general empirical equation was proposed to evaluate the active force of the LR muscle by fitting these data,which represent the relationship between the simulation forces and the contractive amounts of the LR muscle.

Thermodynamic description of the Mn-Si-Zn system

The experimental phase equilibria of the Mn-Si-Zn system available in the literature were critically evaluated.Thermodynamic assessment of the Mn-Si-Zn system was then performed in the framework of CALPHAD(CALculation of PHAse Diagram) method on the basis of the experimental data in the literature.The optimal thermodynamic parameters of the ternary system were then obtained,yielding a good agreement with most of the experimental data.The complete liquidus projection and reaction scheme was also presented for the Mn-Si-Zn system.It is noteworthy that a stable closed liquid miscibility gap appears in the computed ternary phase diagrams,even though it is metastable in three boundary binaries.The occurrence of such a closed miscibility gap can be predicted by a criterion considering the general thermodynamic rules and the features of the three constituent binary systems.