Zhejiang Technology Institute of Economy

Hangzhou, China

Zhejiang Technology Institute of Economy

Hangzhou, China
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Yang Z.,Zhejiang Shuren University | Yang X.,Zhejiang Technology Institute of Economy
Revista de la Facultad de Ingenieria | Year: 2017

Based on the perspective of value creation, this paper has refined six elements of business model, which comes from the literature of business model. After the annual regression analysis, we have found that, the core elements, which affect performance of business model significantly, are various among different years. Based on the analysis above, this paper has proposed a dynamic mechanism of Business model elements to performance of information and technology enterprises. © 2017 Universidad Central de Venezuela.


Luo X.,Zhejiang University | Wu S.,Zhejiang University | Wang W.,Zhejiang Technology Institute of Economy | Shou L.,Zhejiang University
Distributed and Parallel Databases | Year: 2017

Popular distributed graph processing frameworks, such as Pregel and GraphLab, are based on the vertex-centric computation model, where users write their customized Compute function for each vertex to process the data iteratively. Vertices are evenly partitioned among the compute nodes, and the granularity of parallelism of the graph algorithm is normally tuned by adjusting the number of compute nodes. Vertex-centric model splits the computation into phases. Inside one specific phase, the computation proceeds as an embarrassingly parallel process, because no communication between compute nodes incurs. By default, current graph engine only handles one iteration of the algorithm in a phase. However, in this paper, we find that we can also tune the granularity of parallelism, by aggregating the computation of multiple iterations into one phase, which has a significant impact on the performance of the graph algorithm. In the ideal case, if all computations are handled in one phase, the whole algorithm turns into an embarrassingly parallel algorithm and the benefit of parallelism is maximized. Based on this observation, we propose two approaches, a function-based approach and a parameter-based approach, to automatically transform a Pregel algorithm into a new one with tunable granularity of parallelism. We study the cost of such transformation and the trade-off between the granularity of parallelism and the performance. We provide a new direction to tune the performance of parallel algorithms. Finally, the approaches are implemented in our graph processing system, N2, and we illustrate their performance using popular graph algorithms. © 2017 Springer Science+Business Media New York


Wen J.,Zhejiang Technology Institute of Economy | Wang X.,China Jiliang University
Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing | Year: 2017

Gesture recognition based on small samples is one of the main trends in the advanced human-computer interaction research. A novel gesture recognition method based on adaptive K-nearest neighbor (A-KNN) and linear discriminant analysis (LDA) is presented. First, hand-shape images are segmented from the given interaction videos, and scaled to the same size to construct the training set. Then an optimized LDA algorithm is designed to extract gesture features. Finally, an improved KNN algorithm is introduced with adaptive K value to classify the real-time gesture information. Test results show that the correct recognition rate of the proposed approach is higher than most existing methods. © 2017, Editorial Department of Journal of Data Acquisition and Processing. All right reserved.


Meng Q.-Y.,Zhejiang Technology Institute of Economy | Zhang Q.-H.,Zhejiang Technology Institute of Economy | Yao W.-B.,Zhejiang Technology Institute of Economy
Proceedings of the 6th International Conference on Logistics and Supply Chain Management | Year: 2016

A new meta-heuristic approach - Cuckoo Search algorithm (CS) is applied to solve the classical Vehicle Routing Problem(VRP). In view of the low optimizing accuracy and poor population diversity of a typical CS algorithm, we presented a dynamic crossover operator which can enrich the population diversity and avoid the individual convergence on local optimum, and applied it to the CS algorithm, this would enhance the global optimization ability efficiently. Several experimental results and comparisons showed that the Cuckoo Search algorithm with Dynamic Crossover operation (CSDC) had good optimizing accuracy and stable performance in solving the problem of VRP, so it is a kind of effective approach for solving the VRP. © 2016, Aussino Academic Publishing House. All rights reserved.


Chen L.,Zhejiang Technology Institute of Economy | Chen L.,Zhejiang University | Zhao Y.,Zhejiang University
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2014

Biodiesel (fatty acid methyl or ethyl esters) is made from vegetable oil or animal fat (triglycerides) reacting with methanol or ethanol using a catalyst (lye). It is safe, biodegradable, and produces less air pollutants than petroleum-based diesel or recycled restaurant greases. With the increasing demand of green energy source and the decreasing of fossil fuel, biodiesel has gained increasing attention as one of the alternative fuels. 100% biodiesel (B100) was used in this study. Experimental samples with water content of 0, 2.50%, 5.00%, 7.50% and 10.0% were set. There were 35 samples for every treatment with different water contents, and total 175 samples. 116 samples were selected for calibration set, and 58 samples for prediction set based with Kennard-Stone (K-S) method. Visible and near infrared spectra (Vis-NIR) technique which was a nondestructive and rapid method, was used to measure the water content in biodiesel. Samples were scanned using the ADS Handheld FieldSpec spectrometer and spectra of samples were acquired. Principal component analysis (PCA) was used to compress spectral data and observe the cluster's situation of biodiesel with different water contents. The scores plot showed a good cluster distribution and the total accumulated variance of PC-1 and PC-2 was up to 99.3%. Random Frog algorithm was applied to extract spectral feature. Then, 8 sensitive wavelengths (563, 560, 642, 565, 562, 493, 559 and 779 nm) were selected respectively. Spectral feature and different water contents were set as input values of partial least squares regression (PLSR) and least squares-support vector machine (LS-SVM) models. It was showed that LS-SVM and PLSR with full spectra had good results, while the variables were too much (116×591) compared with the regression models (116×8). Results of the Random Frog-LS-SVM were better than the Random Frog-PLSR. R of the non-linear LS-SVM models with spectral feature extracted by Random Frog was higher than 0.965, RMSEC of 0.722, RMSEP of 0.520. Sensitive wavelengths extracted were good for eliminating the interfering spectral and improving the accuracy of the model. Results indicated that the Random Frog-LS-SVM as a satisfactory model can measure the water content in biodiesel accurately, which could provide a reference for practical application.


Jiang L.,Zhejiang Technology Institute of Economy | Liu F.,Zhejiang University | He Y.,Zhejiang University
Sensors | Year: 2012

A novel method which is a combination of wavelet packet transform (WPT), uninformative variable elimination by partial least squares (UVE-PLS) and simulated annealing (SA) to extract best variance information among different varieties of lubricants is presented. A total of 180 samples (60 for each variety) were characterized on the basis of visible and short-wave infrared spectroscopy (VIS-SWNIR), and 90 samples (30 for each variety) were randomly selected for the calibration set, whereas, the remaining 90 samples (30 for each variety) were used for the validation set. The spectral data was split into different frequency bands by WPT, and different frequency bands were obtained. SA was employed to look for the best variance band (BVB) among different varieties of lubricants. In order to improve prediction precision further, BVB was processed by UVE-PLS and the optimal cutoff threshold of UVE was found by SA. Finally, five variables were mined, and were set as inputs for a least square-support vector machine (LS-SVM) to build the recognition model. An optimal model with a correlation coefficient (R) of 0.9850 and root mean square error of prediction (RMSEP) of 0.0827 was obtained. The overall results indicated that the method of combining WPT, UVE-PLS and SA was a powerful way to select diagnostic information for discrimination among different varieties of lubricating oil, furthermore, a more parsimonious and efficient LS-SVM model could be obtained. © 2012 by the authors.


Wang X.,China Jiliang University | Wen J.,Zhejiang Technology Institute of Economy
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 | Year: 2010

Recent interests in large displays has led to the rapid development of multi-projector tiled display wall systems, which comprises of an array of individual projectors, and usually driven by a cluster of PCs. Here we design a video players system for playing video streams on tiled display wall systems. The video players system includes two components, server and a set of client players. The server decodes and divides the video streams selected by users, and then broadcasts the video segments to each client players according to their positions. Each client players renders the video segments sent by the server, and deals with geometry calibration and color calibration problems based on preset calibration matrix. Test results show that the above players system can play multiple types of video with high quality and high performance. ©2010 IEEE.


Chen L.D.,Zhejiang Technology Institute of Economy | Zheng Y.J.,Zhejiang Technology Institute of Economy
Advanced Materials Research | Year: 2012

In this paper, graphite oven atomic absorption spectroscopy was adopted to determine typical metals contents, iron (Fe), aluminum (Al), chromium (Cr), in engine lubricating oil for a rapid evaluation about engine wearing conditions. Samples were made into translucent micro-emulsion by adding Tween 80 and 1% nitric acid solution, and then Fe, Al and Cr contents were determined. The recovery rate of standard addition method was achieved as high as 95.3% to 101.1%, and relative standard deviation (RSD) of six times parallel tests were all less than 3%. The results indicated that the adoption of atomic absorption spectroscopy to predict engine wearing condition acquired the following advantages: high sensitivity, simple operation, pinpoint accuracy and excellent reproducibility. © (2012) Trans Tech Publications, Switzerland.


Han Y.,Zhejiang Technology Institute of Economy
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao | Year: 2016

Multimedia technology is applied extensively in English teaching. With the development of multimedia technology, the application also becomes a breakthrough. In the higher vocational English teaching, teachers design the course on the premise of paying attention to the multimedia. The application of multimedia technology should also expand the meaning in breadth and depth. The author analyzes the key of multimedia technology based on multimedia English teaching model and utilization of the experiment teaching method. He combines the Matlab software and fuzzy comprehensive evaluation method to verify the significant effect exerted on multimedia technology in English teaching. The studies show that the designed teaching model can effectively serve the higher vocational English teaching.


He Y.,Zhejiang Technology Institute of Economy
Wei sheng yan jiu = Journal of hygiene research | Year: 2010

To establish GC-MS method for the determination of phathalic acid esters (PAEs) in the air of plastic production logistics, and conduct a status quo survey of PAEs pollution in occupational environments basing on it. The determination method was established according to the Monitor Investigating Guidelines on Poisons in Workplace Air, and then used to determine samples collected to carry out an on-the-spot investigation. Calibration curves of the six PAEs were proved to be all linear in the range of 2-1000 ng/ml, equivalent to 0.67-333 microg/m3 in the air considering 3 L air sample was collected. The sensitivities were high with all limits of detection lower than 1 ng/ml, i.e., the minimum detectable concentrations of the six PAEs were all lower than 0.33 microg/m3. Intra-day precision and accuracies were all good, with relative standard deviation in the range of 3.0%-7.8% and recoveries in the range of 93.1%-105.1% respectively. And inter-day precision and accuracies were 3.4%-9.9% and 93.4%-106.4% correspondingly. The eluting efficiency was 92.9%-97.9%, and the sampling efficiencies were nearly 100%. The breakthrough capacities were all larger than 1.4 mg. And samples could be stored stably at room temperature for 7 days. The selectivity of this method was good. Results of status quo survey indicated that the PAEs pollution in the air of plastic production logistics was not serious, and no obvious clinical symptoms and signs were found in those occupationally-exposed workers. This method meets the demand of the Monitor Investigating Guidelines on Poisons in Workplace Air, and thus then could be applied to determine PAEs in the air of plastic production logistics.

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