Journal of Inner Mongolia University of Science and Technology 

About: Journal of Inner Mongolia University of Science and Technology is an academic journal. The journal publishes majorly in the area(s): Microstructure & Quenching. Over the lifetime, 68 publications have been published receiving 97 citations.

Shed absorbability and tower structure characteristics of the solar heated wind updraft tower power

Abstract: The solar heated wind updraft tower power can not only be used for solar power,but also for natural wind powerThe steady-state mathematical model of the solar heated wind updraft tower power was established,and the equations of the heat collecting shed power absorption characteristics and the tower structure characteristics were developedBy using the two equations,the solutions of the mathematical model can be easily deduced and the way to increasing the generating capacity was understoodThe mathematical model provided guidance for the construction of the solar heated wind updraft tower power system in WuhaiAfter combining this power system to the grid in October 2010,the results of the generating operation in this system were found in consistent with the calculation results of the mathematical modelThe ways to improve the generating capacity of the solar heated wind updraft tower power are to increase the height of the tower and add the heat collecting shed power absorbabilityBy enhancing the area of the heat collecting shed and the area index,together with improving the solar absorption efficiency of the heat collecting shed,the heat collecting shed power absorbability can be increased

Predicting protein-protein interaction based on protein secondary structure information using Bayesian classifier

Abstract: Protein-protein interaction(PPI) plays an important role in many biological processes.The PPI depends on space structures of proteins.As a basic element of protein structure,secondary structures should contain information of PPIs.A new approach was introduced to predict the interaction of proteins solely by analyzing their secondary structures,and the predicting model was built based on Bayesian classifier.The model achieved a significant performance with prediction accuracy of 59.16% and 59.85% in open test for S.cerevisiae,human and in independent set test for mouse and D.melanogaster,respectively.The result shows that the relationship between secondary structures of proteins and Bayesian classifier can be used to predict protein-protein interaction.

The characteristics and the developing trend of disposing technology of sintering gas

Abstract: Sintering is an important part in the enterprise of steel-making.A large amounts of fuel gas will be produced in the process of sintering.It is estimated about 4 000~6 000 m3 amounts of fuel gas with the dust of 0.5~15 g/m3 and corrosive gas such as SOx,NOx will be produced in the producing process of one ton of sinter.The corrosive gas of SOx,NOx will be converted into thin sour after mixing with water,which will cause atmosphere pollution and metal corrosion.It is an urgent task for each enterprise of steel-making to deal with sintering fuel gas synthetically by studying fully the characteristics of sintering fuel gas because of more strict environmental policies.Some advices were put forward about the synthetical technologies of dealing with sintering fuel gas,providing references for the steel-making enterprises.

30CrMnMo numerical simulation of quenching seamless tube

Abstract: On the basis of thermo-physical characteristics between quenching media and solid surface,the quenching process of seamless tube of 30CrMnMo steel was quantitatively simulated by using the software of FEMBoth quenching temperature and residual stress were analyzedThe acting law of the residual stress along the radius of the oil casing was achieved in the processThe simulation result is consistent with the production data,which is significant to the establishment of the heat treatment craft and the prediction of product quality in the future

A medical image registration method based on corner feature

Abstract: Medical image registration technology is the foundation of the medical image fusion and it is also the element of the image-based three-dimensional reconstruction.A medical image registration method was presented based on the feature points calculated by SUSAN operator.First,the corner points of two images were extracted with the SUSAN operator;then,the two feature points sets were matched and the matched feature point pairs were obtained through coarse matching and fine matching;Finally,the reverse mapping of the affine transformation were utilized to achieve image registration.The experimental results show that the medical image registration and good accuracy can be effectively achieved by using this method.