Tangshan, China
Tangshan, China

Tangshan College is a college in Hebei, China under the provincial government. Wikipedia.


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Wenwu Z.,Tangshan College
Acta Crystallographica Section E: Crystallographic Communications | Year: 2017

Single crystals of lead barium borate, Ba8.35Pb0.65(B3O6)6, octabarium lead(II) hexa-kis-(triborate), have been obtained by spontaneous nucleation from a high-temperature melt. Its three-dimensional structure is constructed on the basis of a BaO9 polyhedron, a (Pb/Ba)O6 octa-hedron (occupancy ratio Pb:Ba = 0.216:0.784) and a condensed B3O6 ring anion. In the crystal, the planar B3O6 anions are stacked in an alternating fashion with Ba and (Pb/Ba) atoms along [001]. A comparison is made with the structures of related solid solutions in the system Ba/Pb/B/O.


Yang Y.-H.,Tangshan College
Cailiao Rechuli Xuebao/Transactions of Materials and Heat Treatment | Year: 2016

The ultrafine ferrite microstructure with a average grain size of 5-8 μm and bimodal grain size distribution of Q235 steel was obtained after cold rolling by a 55% reduction to 750℃ for different time and then water cooling, the formation process of this microstructure and its effect on the properties of the tested steel were discussed. The results show that the yield strength and tensile strength of the tested steel are 825 MPa and 970 MPa, respectively, while the uniform elongation is 11.4%. It is concluded that the austenitic transformation and recrystallization of the deformed ferrite are also present at the temperature of two phase region. The polygonal ferrite grains are obtained by recrystallization and coarsens with the increasing of holding time. However, more refined quasi polygonal ferrite grains can be obtained after phase transformation because the growth of austenite formed in two phase region is hindered by the coarsened polygonal ferrite, which leads to the bimodal grain size distribution. This microstructure also shows continuous yield in tensile testing, which illustrates the fine quasi polygonal ferrite can play the role of hard phase in dual phase steel. © 2016, Editorial Office of Transactions of Materials and Heat Treatment. All right reserved.


Zhang Y.,Tangshan College
Journal of Networks | Year: 2012

Based on the security of information transmission through network in the information society, the paper puts forward covert communication technology which is more reliable than the prior encryption algorithm, analyzes channel covertness and information hiding of covert communication technology based on spread-spectrum communication technology, and establishes a covert communication system including image steganalysis, Arnold transformation and scrambling of carrier image, embedding of secret information, generation of encrypted image and recovering of carrier image by image-based covert communication technology. The simulation result shows: in order to ensure there is no serious degrading problem after embedding the secret information, the carrier image must have a large capacity; the larger the scrambling times is, the better the scrambling and encrypting effect is. Therefore, the airspace covert communication algorithm based on spread-spectrum communication technology well achieves safe transmission of information and has good application prospect. © 2012 ACADEMY PUBLISHER.


Guo Y.H.,Tangshan College
Applied Mechanics and Materials | Year: 2014

A granary parameter wireless monitoring system based on Internet is introduced, in which the wireless sensor network is built by using the temperature and humidity sensor and the CC2430 wireless chip, the embedded gateway and the Web server are built by using the embedded ARM chip S3C2410, the system overall structure and hardware circuit and software design are detailed described. In the system, the remote wireless monitoring of grain parameters is realized, users can perform data transmission and monitoring by Internet. The whole system is stable, reliable, low power consumption and it can meet the measurement requirements. © (2014) Trans Tech Publications, Switzerland.


Hao T.,Tangshan College
Advanced Materials Research | Year: 2012

The pipe model is simplified as elastic foundation beam model of Euler-Bernoulli, the form of pin rocker bearing in the analysis of transverse vibration in the paper. According the principle of Hamilton, after a series of variation, exchanging the order of integral and integration by parts, the transverse vibration differential equation of pipe is obtained without fluid. Considering different boundary consitions, the solving process is carried out. By utlization of MALAB language, the numerical example is analyzed, considering fluid and foundation. Thus, the fluid-solid coupling interaction is not ignored in transverse vibration in the buried pipeline. © (2012) Trans Tech Publications.


Liu X.-W.,Tangshan College
Proceedings - 2016 8th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2016 | Year: 2016

Parametric module of gas blast soot blower distributor is created and friendly parametric dialog interface is developed by redevelopment of Pro/E using redevelopment tool Pro/Toolkit of Pro/E software system and Visual c++ 6.0 programming language. Parametric regeneration of distributor parts can be automatically realized and design efficiency of distributor improved by using the parametric module. © 2016 IEEE.


Wang J.,Tangshan College
International Journal of Pattern Recognition and Artificial Intelligence | Year: 2013

Subspace analysis is an effective approach for face recognition. In this paper, a novel subspace method, called kernel supervised discriminant projection (KSDP), is proposed for face recognition. In the proposed method, not only discriminant information with intrinsic geometric relations is preserved in subspace, but also complex nonlinear variations of face images are represented by nonlinear kernel mapping. Extensive experiments are performed to test and evaluate the new algorithm. Experimental results on three popular benchmark databases, FERET, Yale and AR, demonstrate the effectiveness of the proposed method, KSDP. © 2013 World Scientific Publishing Company.


A theoretical investigation of the reaction mechanisms for C-H and C-C bond activation processes in the reaction of Ni with cycloalkanes C nH2n (n = 3~7) is carried out. For the Ni + C nH2n (n = 3, 4) reactions, the major and minor reaction channels involve C-C and C-H bond activations, respectively, whereas Ni atom prefers the attacking of C-H bond over the C-C bond in CnH 2n (n = 5~7). The results are in good agreement with the experimental study. In all cases, intermediates and transition states along the reaction paths of interest are characterized. It is found that both the C-H and C-C bond activation processes are proposed to proceed in a one-step manner via one transition state. The overall C-H and C-C bond activation processes are exothermic and involve low energy barriers, thus transition metal atom Ni is a good mediator for the activity of cycloalkanes CnH2n (n = 3~7). Copyright © 2013 Editorial Board of Chinese Journal of Structurnal Chemistry.


Wang J.,Tangshan College
Applied Mathematics and Information Sciences | Year: 2012

For supervised discriminant projection (SDP)method, the image matrix data are vectorized to find the intrinsic manifold structure, and the dimension of matrix data is usually very high, so SDP cannot be performed because of the singularity of scatter matrix. In addition, the matrix-to-vector transform procedure may cause the loss of some useful structural information embedding in the original images. Thus, in this paper, a novel method, called 2D supervised discriminant projection (2DSDP), for face recognition is proposed. The proposed method not only takes into account both the local information of the data and the class information of the data to model the manifold structure, but also preserves the useful information of the image data. To evaluate the performance of the proposed method, several experiments are conducted on the Yale face database, and the FERET face database. The high recognition rates demonstrate the effectiveness of the proposed method. © 2012 NSP Natural Sciences Publishing Cor.


Lv H.-L.,Tangshan College
Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 | Year: 2013

This paper studies the power transformer fault quality diagnosis using the technology of intelligent diagnosis. It is rough set theory as the pre-unit of neural network. A large number of original data is made reduction by means of rough set algorithm and become the train data of BP neural network. Through simulation with practical data it is proved that the method of RSNN can make the training time shorter and the diagnostic accuracy is higher compared with the traditional neural network method. © 2013 IEEE.

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