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Pingdingshan, China

Pingdingshan University, founded in 1977, is a full-time comprehensive university of general higher education. It is located in Pingdingshan City, which enjoys the titles of Industry Base for China’s Important Energies and Raw Materials, China’s Top Tourism City, National Forest City, National Garden City, China’s Hometown to Folk Art, Hometown to calligraphy, Hometown to Ru Porcelain Ceramic Art Culture, Hometown to China’s Magic,and Hometown to China’s Buddism Godness Guanyin Culture.Its campus, surrounded by mountains and lying beside the Pingxi Lake, is covered with trees and flowers. It boasts of an ideal university for study with a beautiful environment and convenient facilities.It occupies an area of 1,313,700 square meters with a floor space of 471,700 square meters, composed of the teaching block, the research block, the sports area, students’ apartment area and the teachers’ residential area. The library houses over 1,300,000 books, 1500 kind of periodicals both in Chinese and foreign languages. The campus network center is the junction center of Pingdingshan Network, a sub-network center of Henan Education and Research Network. Points of Information are scattered here and there in the university for teaching and scientific research and residential life. The whole campus is being modernized and digitalized. It boasts of a teaching staff of nearly 1,000, of which 600 teachers have the MA certificates or P.H.D certificates and 260 teachers are associate professors and senior engineers. More than 60 teachers have such honors as the Special Allowances Expert from State of Council, the Top Expert at Provincial Level, the Winner of Zeng Xian-zi Education Fund, the Top Teacher and Teaching Staff at the National Level, the Trans-century Academic and Technological Leaders in Henan Province, and the Young and Middle-Aged Leading Teachers from Institutes of High Learning. More than 60 people are engaged as part-time professors or guest professors, including the academicians of the Chinese Academy of science and Chinese Academy of Engineering as well as famous experts or professors.It boasts of 17 schools, which are School of Literature, School of News and Media, School of Foreign Studies, School of Mathematics and Information Science, School of Economy and Management, School of Chemistry and Chemical Engineering, School of Nursing, School of Electric and Information Engineering, School of Computer Science and Technology,School of Software,School of Normal Education, School of Politics and Law, School of International Education Communications, School of Art Design, School of Environment and Geographic Science, School of Sports, School of Music, and 4 teaching departments, namely, Department of Public Foreign Language Teaching, Department of Political and Ideological Theory, Center for Modern Education and Technology, Center for Network and Computation. It consists of 39 undergraduate majors and 12 junior college majors, which cover ten disciplines such as literature, science, technology, management, education, law, history, art, economics, and medicine. And 3 of them have been awarded the title of the Key Discipline at Provincial Level; 7 specialties have been granted as Provincial Specialties with Distinctive Features; 3 majors have been authorized as Comprehensive Reform Experimental majors at Provincial Level; 4 courses have been ensured as Provincial Excellent Curriculum; one of the teaching teams has been given the title of Provincial Teaching Team;1 Provincial Experimental Teaching Center and 1 state-level extramural training base have been built in the University. At present, the enrolled number of full-time university students is over 17, 000 and the number of adult education students is nearly 10, 000. The Ecological Restoration Laboratory in the lowland has been approved as the key laboratory supported by Agriculture Department of Henan province. The Chinese Academy of Forestry, Agriculture Department of Henan province and Pingdingshan University have come to terms to co-build the Ecological Restoration Laboratory in the lowland. The Working Station for academicians from the Ecological Restoration Laboratory in the lowland and the Postdoctoral research base have been approved and established by the People’s Government of Henan Province. The Cultural Research Circle around Mountain Funiu has been established, and other academic organizations have been founded, including the Intelligent High-voltage Switchgear Engineering Technology Research, Ceramic Research Institute, the Cultural Institute for Three Su, namely, Su Xun, Su Shi and Su Zhe, who were famous scholars in Song Dynasty. The Cultural Research Circle around Mountain Funiu has been authorized by Henan Educational Department as the Key Research Base of humanities and social science at colleges and universities in Henan Province. Intelligent High-voltage Switchgear Research Center has been granted as the Engineering Technology Research Center among Henan’s Universities. The imitation technology developed by Ceramic Research Institute, which has been applied in Tang Dynasty’s flower porcelain, has filled a vacancy in the field of ceramics.The Chinese Court Music Society at Pingdingshan University is the first one in Mainland China. The Dragon Dance team here has won many national and international gold medals. Pingdingshan University has made new progress in establishing foreign academic exchange and cooperative education. It has established a wide-range exchange and cooperative relationship with the universities and scientific research institutions in more than 10 countries and regions, such as Britain, America, Canada, Singapore, Taiwan, etc. More than 120 teachers and students have been given the chance to visit and study abroad. BTEC, Business & Technology Education Council has granted Pingdingshan University to be its excellent center in North Asia as well as in Great China. Pingdingshan University is exploring and formulating the modern education notion with its own characteristics. It has set the notion of Literature Intercrossing Science, Extensive and Special Learning, Combination of Teaching and Practice, and Unity of Theory and Training Skills as the schooling education base, and has developed its spirit of Pioneering Work via Hard Work, Self-improvement by constant struggle and Self-forgetful Commitment, devoted to cultivating the applicable graduates, who are supposed to be high-minded in their ideals, creative, well-equipped in their basic training, able, responsible and capable of creating happy life and serving people well in their future work. Pingdingshan University now sets its foot on the new beginning, carries out its motto of Highlighting Morality and Erudition and Advocating the Truth and Innovation, and adheres to the development strategies of Teaching Quality for a Foothold, Talents for Prosperity, High-level Researches for an Influential University and Distinctiveness for a Noted University, sparing no efforts to build a multi-discipline municipal undergraduate university with its distinctive characteristics, prominent advantages, good teaching quality. Pingdingshan University , founded in 1977, is located in Pingdingshan City, Henan Province, China. The university includes the School of Chinese Language, the School of Foreign Languages, Math and Information Science College, Economics and Management College, the School of Chemistry Art, the College of Information Science and Technology, Teachers' College, Political Science Department, Environment and Geography Department, Physical Education Department, Music and Arts Department. Besides these, the school also offers a Department of English for General Teaching, Adult Education College, Politics Education Department and an Education Artificial Department.http://www.pdsu.edu.cn/pdsu/en/about.html Wikipedia.


Hu H.,Pingdingshan University
Recent Advances in Electrical and Electronic Engineering | Year: 2016

The edge part and noise of the fuzzy image have great uncertainty, the traditional fuzzy image region segmentation process based on fuzzy logic only considers the uncertainty problem, resulting in ignoring the complexity and correlation of fuzzy image information feature, unable to realize the fuzzy image segmentation efficiently (the paper is focus on how to achieve effective separation), a fuzzy image region segmentation method based on non-robust feature fitting is proposed, to analyze the disadvantages of traditional methods, and fit the non-robust features in the fuzzy image, based on the fitting results of non-robust feature, the optimal cluster number, clustering center and other parameters of the pixel are determined by fuzzy C mean clustering method, on the basis of pixels membership function to segment fuzzy image region. Through regional texture feature, spatial location feature, regional feature color and region shape character to describe the segmentation regions, so as to preserve the segmentation results, and provide basis for future fuzzy image region segmentation. The simulation results show that the proposed segmentation method has high accuracy, and a strong practical value. © 2016 Bentham Science Publishers. Source


Liu J.,Pingdingshan University
Recent Advances in Electrical and Electronic Engineering | Year: 2016

Matching of fuzzy multimedia image has the disadvantage of larger error, a feature matching method for fuzzy multimedia image based on improved SIFT matching is proposed, on the basis of analyzing the shortcomings of the traditional method, multimedia images are preprocessed, and fuzzy space ideology is introduced in the algorithm to simulate all kinds of causes for fuzzy multimedia image, according to results to expand the database image set. Generating SIFT feature descriptors to determine the main direction of the feature points, the fuzzy image is rotated to the main direction and rotation invariance of the blurred image is maintained. Euclidean distance is used to measure the similarity of two vectors, through judging the ratio of the nearest neighbor distance and the second nearest neighbor distance exceeds a certain threshold, so as to determine the nearest adjacent points and the feature is the best match. The simulation results show that, the proposed method has high accuracy. © 2016 Bentham Science Publishers. Source


Wang Y.,Pingdingshan University
International Journal of Advancements in Computing Technology | Year: 2011

With the developing of sensors, remote-sensing platforms and other related technologies, more and more ways to obtain remote-sensing information come forth, as well as the information style. At the same time, the amount of data obtained by means of remote-sensing is rapidly increasing, but many applications need more fast processing of remote-sensing image. Apparently, the traditional singleprocessor serial fusion algorithm couldn't meet the needs of such operations, and parallel is an efficient technical mean to solve this problem. Therefore, the research of parallel algorithm on remotesensing image will greatly enhance the efficiency of image fusion, and it will have broad application prospects. We analyze these requirements in this paper, aiming at the research and implementation of there kinds of parallel algorithms for remote-sensing image fusion processing. Source


Li J.-T.,Pingdingshan University | Sun F.-X.,Henan University of Urban Construction
Biochemical and Biophysical Research Communications | Year: 2014

Mesenchymal stem cells (MSCs) have been reported as an attractive source for the generation of transplantable surrogate β cells. The objective of this study was to investigate a new method to induce the differentiation of hMSCs into insulin secretion cells and to explore its molecular mechanisms. In this study, we investigated in vitro differentiation of hMSCs by overexpression of myocardin and pdx-1. Differentiated cells were evaluated by immunocytochemistry, reverse transcription-polymerase chain reaction (RT-PCR), quantificational real-time RT-PCR (qRT-PCR) and Western blotting. Furthermore, the molecular mechanisms were evaluated by chip assay, CO-IP and Luciferase assay. This study reported a new method to induce the differentiation of hMSCs into insulin secretion cells. The method is cotransduction of myocardin and pdx-1 for 7. days. At the same time, we find myocardin and pdx-1 can form a complex to promote the transactivities of insulin by affecting the formation of the pdx-1/myocardin/SRF/CArG complex both in vitro and in vitro. The present study provided a simple and faithful in vitro model for further investigating the cell replacement therapy for diabetes. © 2014 Elsevier Inc. Source


Cheng G.,Pingdingshan University
Materials Research Innovations | Year: 2015

In this work, iron-nickel chain-like fibres were prepared via a simple and low cost solvothermal method at 180°C for 10 h. The starting materials of NiCl2.6H2O and FeCl3.6H2O were reduced by hydrazine hydrate in alkaline medium, and ethylene glycol was employed as solvent. The shapes and microstructures of these iron-nickel chain-like fibres were investigated by scanning electron microscopy, high resolution transmission electron microscopy and X-ray diffraction techniques. Surfactant polyvinylpyrrolidone, temperature and types of solvent were found to be important for the formation of such novel fibres. The magnetic properties were measured by vibrating sample magnetometer, which indicated the ferromagnetic behaviour with saturation magnetisation of 66.3 emu g-1and coercivity of 91.5 Oe. © W. S. Maney & Son Ltd. 2015. Source

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