Tonghua Normal University
Jilin, China

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Chen Y.,Tonghua Normal University
Journal of Computational and Theoretical Nanoscience | Year: 2016

With further development of China's basketball undertaking, level of Chinese basketball team has also been further promoted, however, it is easily found that the defense and attack of basketball team is weaker in games that they participate in current stage, the paper studies the defense training of Chinese senior high school men's basketball team. The paper takes defense training of Chinese senior high school basketball undertaking as research objects to make a deeper analysis. Firstly, instruction motivation of basketball course defense training in Chinese normal senior high school and sports school's senior high school with professional training have great differences, 50% senior high school students from normal senior high school engage in defense training is to strengthen personal skills and alleviate heavy learning pressure in senior high school, while only 3% senior high school students want to become professional basketball player; And 66% senior high school students from sports school engage in defense training is mainly to become professional basketball player except for enhancing personal physical ability; Secondly, the paper implements comprehensive analysis of several factors that affect senior high school students' defense training by correlation analysis method and neural network model, and finds that school leaders play a decisive role in school's physical education teaching reform, therefore attitudes of school leaders become a main factor that affects senior hight school defense training normal running. Copyright © 2016 American Scientific Publishers All rights reserved.

Li L.,Tonghua Normal University | Wu H.-Y.,Jilin University
Journal of Alloys and Compounds | Year: 2017

Novel Pr3+, Ho3+, and Er3+ single-doped CaXSrYBa1−X−YWO4 phosphors were successfully prepared via a facile hydrothermal method. The hydrothermal process was conducted in aqueous condition without the use of any organic solvent, surfactant, or catalyst. The effects of doping-host composition and RE3+ doping concentration on the emission intensity were investigated to optimize the luminescent properties of CaXSrYBa1−X−YWO4:RE3+ phosphors. Experimental results demonstrate that the morphologies of the products vary gradually and regularly with the change of the host composition, in which the anisotropic growth played a key role. Moreover, the down-conversion emissions of Pr3+, Ho3+, and Er3+ in CaXSrYBa1−X−YWO4 host were successfully realized. After optimizing the luminescent properties, Ca0.4Sr0.6WO4:0.01Pr3+, Ca0.8Sr0.2WO4:0.01Ho3+, and Ca0.6Sr0.4WO4:0.005Er3+ exhibited optimal luminescent property, with orange, yellowish-green, and green emissions, respectively. © 2017 Elsevier B.V.

Li M.,Harbin Institute of Technology | Li M.,Tonghua Normal University | Ngadi M.O.,McGill University | Ma Y.,Harbin Institute of Technology
Food Chemistry | Year: 2014

A response surface methodology and a kinetic study were used to optimise the pulsed ultrasonic and microwave techniques in the extraction of curcuminoids. Microwave-assisted extraction had the same efficiency as pulsed ultrasonic-assisted extraction, and both methods were better than continuous ultrasonic extraction of curcuminoids. For the pulsed ultrasonic-assisted extraction, the optimal conditions were 60% amplitude (AMP), 83% ethanol (v/v), 3/1 (s/s) pulsed duration/interval time and 10 min irradiation time. For the microwave-assisted extraction, the optimal conditions were 82% ethanol, 10% power level and 7 min of extraction time. Both methods used a 1:200 mass to solvent ratio. © 2014 Elsevier Ltd. All rights reserved.

Li M.,Harbin Institute of Technology | Li M.,Tonghua Normal University | Ma Y.,Harbin Institute of Technology | Ngadi M.O.,McGill University
Food Chemistry | Year: 2013

The binding of curcumin (CCM) to bovine β-lactoglobulin (β-Lg) was investigated by Fourier transform infrared and fluorescence. The effect of binding on antioxidant activity of CCM was determined by using ABTS and hydroxyl radical scavenging capacity and total reducing ability. Our results showed that when CCM binds to β-Lg, it lead to a partial change in protein structure. In fact, CCM was bound respectively to two different sites of protein at pH 6.0 and 7.0 via hydrophobic interaction. CCM-β-Lg complex was formed by one molecule of protein combining with one molecule of CCM. Moreover, the average distance from one binding site to Trp residues in protein is similar with another. This result suggested that fluorescence resonance energy transfer cannot be used as unique method to study the characteristics of binding of ligands to proteins. The antioxidant activity of CCM might be improved by binding with β-Lg. © 2013 Elsevier Ltd.

Fan Z.J.,Tonghua Normal University
Advanced Materials Research | Year: 2014

This paper introduces the relevant concept of observer pattern and realized method. Based framework, we make detailed discussion about the principle and method of observer pattern, which is simplified and improved by delegate and event mechanism. © (2014) Trans Tech Publications, Switzerland.

Yu J.,Tonghua Normal University
Telkomnika | Year: 2013

How to effectively reduce the network node link cost by improving the reliability of computer network transmission system is one of the important targets of computer network reliability optimization calculation. Therefore, in the computer network reliability optimization calculation, it is necessary to integrate the computer network link medium cost, network reliability optimization mathematical model and other factors. This paper describes genetic algorithm and its implementation process, as well as the application of genetic algorithm to the network link cost and network reliability optimization calculation. In addition, it is indicated from the simulation results that genetic algorithm can effectively solve the reliability optimization calculation problem which is difficult to solve by the traditional algorithm of network, so as to speed up the calculation speed of computer network and optimize the network calculation result.

Dong L.,Tonghua Normal University | Liang D.,Jilin Agricultural University | Gong R.,Tonghua Normal University
European Journal of Inorganic Chemistry | Year: 2012

AgCl nanoparticles with a diameter of 50-100 nm were synthesized in ethylene glycol with the assistance of poly(vinylpyrrolidone) at room temperature. A photoactivation process was then introduced by exposing the as-obtained AgClnanoparticle solution to common fluorescent lamp or direct sunlight irradiation to form a uniform layer of Ag nanoparticles (5-10 nm) on the surface of the AgCl nanoparticles. The AgCl/Ag nanocomposites showed higher visible light photocatalytic activity for decomposing organic pollutants [such as methyl orange (MO), methyl blue (MB), and rhodamine B (RhB)] under the irradiation of common fluorescent lamp or direct sunlight. Recycle photocatalysis experiments indicated that the AgCl/Ag nanocomposite exhibited higher stability. Moreover, the AgCl/Ag nanocomposites showed better antibacterial properties on Escherichia coli, Staphylococcus aureus, and Bacillus subtilis. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Yang B.,Nanjing University of Aeronautics and Astronautics | Yang B.,Tonghua Normal University | Chen S.,Nanjing University of Aeronautics and Astronautics
Neurocomputing | Year: 2010

Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor need to predefine the same neighbor parameter (or k) for all samples, which usually suffers from the difficulty of parameter selection and generally fail to effectively fit intrinsic structures of data. To mitigate these limitations to a certain extent, in this paper we present a novel and sample-dependent approach of graph construction, and name the so-constructed graph as Sample-dependent Graph (SG). Specifically, instead of predefining the same neighbor parameter for all samples, the SG depends on samples in question to determine neighbors of each sample and similarities between sample pairs. As a result, it not only avoids the intractability and high expense of neighbor parameter selection but also can more effectively fit the intrinsic structures of data. Further, in order to show the effectiveness of the SG, we apply it to the dimensionality reduction based on graph embedding, and incorporate it into the state-of-the-art off-the-shelf unsupervised locality preserving projection (LPP) to develop the sample-dependent LPP (SLPP). SLPP naturally inherits the merits of SG and maintains the attractive properties of the traditional LPP. The experiments on the toy and benchmark (UCI, face recognition, object category and handwritten digits recognition) datasets show the effectiveness and feasibility of the SG and SLPP with promising results. © 2010 Elsevier B.V.

Ge J.,Tonghua Normal University
Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015 | Year: 2015

This paper solves the problem with simultaneous delivery and pick-up through using the improved TS algorithm on the basis of the traditional TS algorithm. The closest inserting algorithm is adopted to construct the initial solutions in this paper. To improve the initial solution, the paper uses 2-opt to structure neighborhood Reference set, which is divided into superior Ref Set1 and inferior Ref Set2. Two solutions are selected respectively from Ref Set1 and Ref Set2 to constitute a new solution, and then form into dispersal and diverse Candidate-set. In addition, Dynamic Tabu List is set up to make its length and construction change with search process and finally attains the purpose of improving the whole optimization. The findings proves the feasibility, effectiveness and stability of Tabu Search Algorithm. © 2015 IEEE.

Zhang X.,Tonghua Normal University
Telkomnika | Year: 2013

Based on the existing image mosaic technology, this paper introduces the granular computing and obtains a simplified new algorithm. The image mosaic executed by this algorithm at first establishes correlation model on the basis of granular computing theory, and obtains edge map of each image needing mosaic. The new calculation method is used to calculate gradient of in different columns of edge map, to obtain the feature point coordinates with the maximum gradient; meanwhile, all feature points of two images are matched with each other, to acquire the best matching point. In addition, the error-correcting mechanism is introduced in the matching process, which is used to delete feature points with matching error. The correlation calculation is carried out for the matching pixels acquired by the above processing, to get the feature transformational matrix of the two images. According to the matrix, two separated image maps map into the same plane. The slow transitional mosaic method is applied in the aspect of image addition plus overlap removal, so that images have no bulgy boundary after mosaics. The whole image mosaic process shows that the given granular computing algorithm is superior to the traditional one both in the number of processed images and the number of processing, and the mosaic image gained has high quality.

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