Abstract:In order to improve the recognition speed of cervical cell and obtain the highest recognition accuracy with the least number of features，this paper innovatively uses the Classification and Regression Trees（CART） algorithm to select features，and then the Particle Swarm Optimization（PSO） algorithm is used to optimize the Support Vector Machine(SVM). Therefore，the PSO-SVM classification algorithm is formed to classify the cells. This paper uses the Herlev dataset to verify the validity of the proposed algorithm. Through the CART feature selection method，9 representative features are successfully extracted from 20 features，and the accuracy of two classifications and seven classifications are above 99%. Further，this paper introduces several other classification and recognition algorithms of cervical cancer cells for simulation comparison. It can be founds that the recognition accuracy of this algorithm is obviously superior when the number of features is small，which indicates that the proposed algorithm is effective. The method effectively reduces the difficulty of artificial feature selection，and ensures that the recognition accuracy of the cells is almost the same as before when the recognition time is reduced. Thus，the proposed algorithm provides an effective method for the diagnosis of cervical cancer diseases.

Abstract:The existing fingerprint image quality estimation algorithm has high computational complexity. The computing resources of embedded devices are limited，and fingerprint image quality estimation algorithm with high computational complexity is difficult to apply on these devices. In order to solve this problem，a method of fingerprint image quality estimation method applied to embedded devices is proposed. First，the method estimates the gradient field，the direction field and the frequency field，and the relationship among the fingerprint image quality，gradient，direction and frequency is obtained by analyzing the high-quality fingerprint image and texture image. This relationship is used to measure the accuracy of the estimated gradient，direction and frequency，and then it is made as the fingerprint image quality index to characterize the quality of fingerprint image. The experimental results show that the method can accurately generate the fingerprint image quality index. The method can distinguish the good and bad regions of the fingerprint image very well. Under the premise of ensuring the performance of the fingerprint authentication system，the computational complexity of the fingerprint quality estimation algorithm is significantly reduced.

Abstract:In recent years，the offshore wind power has become a new growth point of China's alternative energy source. Coordinative allocation and working strategy of offshore wind power and distant clean energy in the eastern load center region has become an urgent problem to be solved. Based on the comprehensive analysis of power supply costs of offshore wind power and remote clean energy，plant output characteristics，load forecasting，and demand side management，an energy allocation analysis method was considered for collaborative optimization. In view of various energy supply modes of load center，the offshore wind power and remote clean energy association were proposed. The optimization model was adjusted and analyzed in detail by taking a certain area in China as an example. The coordinated allocation ratio of offshore wind power and distant clean energy in different time scales was given，which provided a reference for optimizing the operation mode of power system.

Abstract:In order to improve the data embedding capacity and the communication efficiency of coverless information hiding algorithm, addressing the advantages of semi-structured coverless information hiding algorithm，this paper introduces a semi-structured coverless information hiding algorithm based on the behavioral habits of social platforms. The specific idea of the algorithm is to build a one-to-one mapping relationship between icons and secret messages in a small icon library. According to certain principles，some small icons are montaged a picture, the secret information can be expressed by the splicing picture, and the transmission of secret messages is realized by delivering the spliced pictures. In order to improve the recognition rate of small icons and the anti-interference ability of the whole hidden communication system, convolutional neural network is also introduced to train and classify the icons in the icon library, and the interference samples are introduced as training samples set. The experimental results show that the algorithm has good anti-attack ability and the hiding capacity can be improved, and therefore, the algorithm can be used in covert communication.

Abstract:Network analysis method transforms the prediction of potential comorbidity relationships into link prediction problems on complex network. However，most existing similarity measurement methods only consider a certain aspect of network characteristics，which greatly affects the accuracy of prediction. In this paper，three weighted disease networks are established using the real medical datasets from different sources. By comparing the structural differences of different networks，the limitations of existing network similarity indicators are analyzed. On this basis，a new link prediction method based on supervised classification is proposed，which integrates multiple local and global similarity indexes as input feature vectors in order to more accurately evaluate the similarity between nodes. Thus，the effective prediction of potential comorbidity relationships is achieved. The experimental results show that the proposed method can effectively improve the accuracy of link prediction in comorbidity network and has better stability and adaptability in different disease network and classification algorithms.

Abstract:The vehicle classification correct rate of loop induction detector widely used on road is not high. The main reason is the classifier of fixed classification rules cannot cope with the changes of vehicle's complicated models and new vehicle's type classing. Based on the electromagnetic induction characteristic waveform of the vehicle passing through the loop，a new real-time discriminant method for vehicle classification was proposed. The principal component analysis method was used to extract the features. The adaptive resonance neural network algorithm was applied to cluster classification modes，these were dynamically divided into vehicle types then. For new vehicles of unknown vehicle type，new classification modes were added online by semi-supervised learning to adapt to the recognition of new vehicle type. The average correct rate of road real-time vehicle identification experiments of 7 models was 91.3%， and it was increased to 92.5% after adding new mode automatic recognition. In the comparative experiment with Alexnet multi-layer convolutional neural network algorithm， the correct rate of training set and test set were 99.5% and 87.1% respectively， which signified the existence of big differences. The experimental results verified the feasibility of the proposed method to solve the road vehicle identification problem of the change of vehicle mode.

Abstract:Detecting design pattern instances in UML models by using software tools can help software developers to understand，maintain and reconstruct the large-scale software projects. Most of the existing methods for automatic design pattern detection let the several considered features match separately，so that the accuracy rate and time performance are not high enough. Therefore，a design pattern detection method based on similarity scoring was proposed. First，the basic process of this method was given; then，a representation of system and patterns based on directed graph/matrix was proposed; the pattern instance search algorithm based on similarity scoring was discussed in detail; finally，a supporting tool for this method was implemented，and design patterns in an open source project were detected by using this tool. This method does not let the several considered features match separately，but uses the integral feature matrixes to match. The experimental results show that，compared with the design pattern detection methods which let the several considered features match separately，the detection accuracy rate and time performance of this method are higher.

Abstract:The preparation process for supersolidus liquid phase sintering of 15Cr series hypoeutectic high-chromium cast iron was studied. The microstructure and impact specimen fractures of the alloy were observed and analyzed by an optical microscope and a scanning electron microscope. The effect of sintering temperature on the microstructure and mechanical properties of high-chromium cast iron was discussed. Quantitative analysis of the metallographic structure was performed using a computer software to determine the correlation between microstructures and performance. The results show that the relative density of 15Cr-based hypoeutectic high chromium cast iron prepared by supersolidus liquid phase sintering is of more than 99%. Compared with ordinary cast high-chromium cast iron, the carbide of the sintered one is of a short rod shape and evenly distributed in its matrix. With the increase of sintering temperatures, both the grains of the matrix and carbides gradually grew up, and the mechanical properties of the alloy increased firstly and then declined gradually. The impact toughness and bending strength reached the maximum of 11.3 J/cm2 and 2 506.8 MPa as the alloy was sintered at 1 210 ℃ for 1.5 h. The impact fracture of the specimen is of a quasi-cleavage fracture mechanism, and the toughness is greatly improved when compared with the common cast specimens. The sintering temperature mainly affects the alloy's mechanical properties by changing the volume fraction, distribution, morphology and size of the carbides in the microstructure. The hardness of the sintered cast iron has close relationship with carbide volume fraction.

Abstract:The influences of a new cladding quenching process and subsequent aging treatment on the microstructure and mechanical properties of Al-Zn-Mg-Cu alloy plates were investigated based on residual stress measurement，in-situ electrical resistivity characterization，Vickers hardness testing and transmission electron microscope（TEM） observation. The results show that the cladding quenching process can effectively reduce the quenching residual stress and dislocation density of Al-Zn-Mg-Cu alloy. The in-situ electrical resistivity results show that，with the increased cladded thickness（0.2~0.6 mm），the aging precipitation behavior of cladded quenched samples is more similar to that of the uncladded quenched sample. The optimized artificial peak aging processes for the cladded quenched alloys were obtained on the basis of in-situ electrical resistivity and hardness testing results. Under such optimized artificial aging conditions，the cladded quenched samples can maintain the similar nano-precipitate characteristics and mechanical properties to that of uncladded quenched sample.

Abstract:Before and after oxidizing，the microstructures and properties of two typical continuous SiC fibers sintered at different temperature were systematically studied by SEM，TEM and XRD. It is found that the grain size gradually decreases from the surface to the core of the F-1 fiber sintered at high temperature，but the content of graphite phase increases slightly. The F-2 fiber sintered at low temperature is mainly composed of amorphous SiCO phase，which contains a great deal of nanometer SiC grains and graphite. The strength of the F-1 fibers is 1.74 GPa due to the holes，while the strength of dense F-2 fiber reaches 2.76 GPa. Both fibers are oxidized during heating in air at 1 000 ℃，and the oxide layers become thicker and the strength decreases with the prolongation of time. Although the grain boundaries act as diffusion channels of the F-1 fiber，the strength retention rate can still reach 55 % after 10 h oxidation. The high temperature oxidation resistance of the F-1 fiber sintered at low temperature is very low. After oxidizing for 10 h，the thickness of the F-2 fibers reaches up to 430 nm so that the strength is almost completely lost.

Abstract:A series of Li2Mg2.95M0.05TiO6（M for Mg，Zn，Co，Ca） microwave dielectric ceramics were prepared by one-step reaction method，and the effects of doped ion on ceramic sintering behavior，composition，microstructure and microwave dielectric properties were discussed. The results showed that the main crystal phase of the obtained ceramic sample was Li2Mg3TiO6. There was a little Mg2TiO4 impurity phase when Mg2+ was doped. The ceramic doped with Ca2+ generated the phase CaTiO3 which had large dielectric constant（εr） up to 170，temperature coefficient（τf） up to +800×10-6/℃. The phase CaTiO3 coexisted with Li2Mg3TiO6 phase and formed a stable complex system. The samples mixed with Ca2+ and sintered for 6 h at 1 370 ℃ demonstrated better dielectric properties: the dielectric constant（εr） is 16.7，the quality factor（Q×f） is 83 900 GHz，and the resonant temperature coefficient（τf） is close to 0 ×10-6/℃.

Abstract:Cu2ZnSnS4（CZTS）thin films were deposited on Mo-coated soda lime glass substrates by magnetron sputtering and sulfurization treatment. The microstructure of thin films sulfurized at different temperatures was studied using different microstructural charaterizations such as X-ray diffraction （XRD）， scanning electron microscopy （SEM），transmission electron microscopy（TEM），high angle annular dark field（HAADF） imaging and X-ray energy dispersive spectrum（EDS） analysis. The results showed that crystallization of CZTS films synthesized at above 400 ℃ was enhanced with the increase of annealing temperature from 400~550 ℃，but decomposition reaction of CZTS films occurred at 600 ℃. Films morphology was influenced by the temperatures greatly，the size of grains close to the surface of the thin films was large and the size of grains close to the Mo substrate was small. The CuS phase was observed on the surface of the thin films based on the rich of Cu and S，while the contents of Zn and Sn were rich close to the Mo substrate at relatively low temperatures. With the increase of temperatures，crystallization of CZTS films was enhanced with Cu，Zn，Sn and S gradual diffusion，and the grains of CZTS grew up as equiaxial crystals. Twins were formed in grains of CZTS.

Abstract:This study introduces an initiator system applied in the free radical polymerization of electron-deficient olefin，which uses two kinds of economic and environmental benign raw materials，namely H2O2 and FeCl3，and successfully realizes the free radical polymerization of water-soluble monomer like acrylic acid and methacrylic acid in water. Meanwhile，it also realizes the continuous aqueous precipitation polymerization of acrylonitrile in water and free radical polymerization in DMSO and DMF. The results indicate that at a relatively low initiator concentration and low reaction temperature （30~60 ℃），the molecular weight of sodium polyacrylate synthesized by the initiator system ranges between 1.0×106 and 2.0×106，while the molecular weight of sodium polymethacrylate ranges between 1.0×105 and 1.7×105，featuring low molecular weight distribution（Mw /Mn =1.1~1.4） and high conversion（>90%）；the molecular weight of polyacrylonitrile ranges between 2.0×104 and 8.0×104，and the conversion is as high as 94.1%.

Abstract:Bst DNA polymerase is a key enzyme in isothermal amplification reaction. However, due to the patent restrictions, most of the Bst DNA polymerase used in domestic laboratories need to be imported abroad, which is expensive and needs long distance transportation. Therefore, it is urgent to produce Bst DNA polymerase for isothermal amplification detection technology independently. From constructing a plasmid containing Bst Fragment, Bst DNA polymerase was prepared on a large scale by prokaryotic expression system followed by His-tag affinity purification method. The purified Bst DNA polymerase possessed the advantages such as low cost, high activity, and strong specificity in the isothermal amplification reaction. The activity of Bst DNA polymerase was optimized for specific DNA templates by detecting the products of amplification. At the same time, the optimal amplification reaction conditions of the enzyme were finally selected，which were 60 mM K+，30 mM（NH4）2SO4，and pH 9.0. With reference to the relevant patents, the obtained Bst DNA polymerase was able to detect mycoplasma pneumonia and Chlamydia pneumonia quickly and accurately through isothermal amplification reactions. In conclusion, a low cost enzyme was provided for isothermal amplification detection of related pathogen DNA, which can be potentially used in the primary medical care.

Abstract:Newcastle Disease Virus is an avian virus with strong replication ability，which can specifically identify and kill tumor cells. When liver cancer cells are infected with NDV，the apoptosis signaling pathway is activated，inducing apoptosis. USP13 (Ubiquitin Specific Protease 13) is a member of the ubiquitination enzyme family，and deubiquitylate and stabilize PTEN. The expression of USP13 is obviously decreased when NDV infected Huh7 or HLCZ01 cells. USP13 is overexpressed in NDV-infected Huh7 or HLCZ01 cells，which significantly restrains apoptosis. Conversely，knockdown USP13 significantly enhances apoptosis. Further studies revealed the underlying mechanism that USP13 restrains NDV-induced apoptosis. Although overexpression of USP13 doesn't affect NDV replication in two types of liver cancer cells，USP13 can upregulate an important molecule Bcl-2，thereby inhibiting apoptosis. USP13 plays an important role in NDV-induced apoptosis. At the same time，a new theory basis for the oncolytic treatment of liver cancer is provided.

Abstract:In order to grasp the temporal and spatial variation of unloading airflow and dust in high ore pass in metal mines，the similarity criterion of high ore pass unloading airflow and dust was derived by similar principle. The similar experimental model of the ore pass was established based on the similarity criterion. Experiments and numerical simulations were carried out to study the airflow changes and dust migration laws under different unloading flow rates，different ore sizes and different unloading heights. The results show that when the first middle section of the ore pass is unloading，the differential pressure at the wellhead in the first and second middle sections is negative，and the pressure difference in the third and fourth middle sections is positive; in the third and fourth middle sections，the dust is discharged by the unloading airflow，which is the main dust-producing point of the ore pass; with the increase of the unloading flow，the wind speed and dust concentration of the dust-producing point show a law of increase first and then decrease，and when the unloading flow is 1.0 kg/s，the wind speed and dust production are the largest; When the unloading flow rate is constant，the wind speed of the dust-producing point is inversely proportional to the ore particle size. The dust concentration and ore particle size are in a power function relationship，and the maximum index is -0.63; When the unloading flow rate and ore particle size are constant，the greater unloading height results in the greater wind speed and dust concentration of the dust-producing point.

Abstract:The animal laboratory needs to be fumigated and disinfected thoroughly before starting using in order to ensure the cleanness of the room. Ventilation system fumigation provides the fumigation gas generating equipment between air supply pipe and air discharge pipe to promote the fumigation gas diffusion through indoor air circulation. In order to study the influencing factors of gas concentration distribution in the fumigation process of the ventilation system, icem modeling and fluent software were used to carry out the transient simulation of air distribution in different conditions under different times，ventilation times，air supply modes and temperature distribution conditions, and to predict and analyze the distribution law of fumigation gas concentration and humidity. It is concluded that the minimum ventilation rate to quickly reach the sterilization degree decreases with time, the change of the air supply mode can reduce the vortex near the test bench, and the indoor temperature decreases with the height to facilitate the rapid diffusion of fumigation gas, so as to control the fumigation more effectively, which is of great significance to guide the safety of animal experiment.

Abstract:Corncob，a typical agricultural waste，is studied as the carbon source for solid phase denitrification under dynamic flow conditions by using 1-D column experiment. The results show that the hydraulic retention time has significant effect on the denitrification rate and transformation between the nitrogen species. The increase of hydraulic retention time can improve the denitrification rate，however，it can cause the accumulation of nitrite when it is in a proper range or ammonium if it is too large. C/N ratio is also an important factor affecting the solid phase denitrification. Appropriate C/N ratio can improve the nitrate removal rate and inhibit the production of nitrite and ammonium. The results show that the optimal hydraulic retention time of the system is 16 h，and the proper nitrate concentration for the system to treat is 50 mg· L-1. Corncob has good application potential as the packing material of permeable reactive barrier for solid phase denitrification，as it can steadily release the water-soluble TOC to provide electron donor and its surface structure also favors microbial adhesion and growth. The result indicates that Pseudomonas sp is the main bacteria in the corncob-based denitrification system.