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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.

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.

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.

Dong G.,Tonghua Normal University
International Journal of Simulation: Systems, Science and Technology | Year: 2015

Objective: With the rapid development of Internet, the database technology is more mature, and the establishment of the students performance management system is the urgent requirement of the current university management department. Methods: Using ASP.NET technology Scores Management and Physical Analysis System. Process: Learn from the current domestic advanced large-scale management system of university student management for the overall design and construction of the “Web-based” operating platform, to achieve a convenient Web front-end login and query. Results & Analysis: Through the data mining technology, so the isolated students become rule-based, so as to better serve the sports teaching. Conclusion: ASP.NET technology is feasible in sports performance management and physical analysis system. © 2015, UK Simulation Society. All right reserved.

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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