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Search Results: 1 - 10 of 126889 matches for " Junhui Li "
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A Cooling System with a Fan for Thermal Management of High-Power LEDs  [PDF]
Ruishan Wang, Junhui Li
Journal of Modern Physics (JMP) , 2010, DOI: 10.4236/jmp.2010.13029
Abstract: To improve the heat dissipation of high-power light-emitting diodes (LEDs), a cooling system with a fan is proposed. In the experiment, the LEDs array of 18 W composed of 6 LEDs of 3 W is used and the room temperature is 26ºC. Results show that the temperature of the substrate of LEDs reaches 62ºC without the fan, however, it reaches only 32ºC when the best cooling condition appears. The temperature of the LEDs decreases by 30ºC since the heat produced by LEDs is transferred rapidly by the fan. The experiment demonstrates that the cooling system with the fan has good performance.
Asynchronous Data Fusion With Parallel Filtering Frame
Na Li,Junhui Liu
International Journal of Information Technology and Computer Science , 2011,
Abstract: This paper studies the design of data fusion algorithm for asynchronous system with integer times sampling. Firstly, the multisensor asynchronous samplings is mapped to the basic axis, accordingly a sampling sequence of single sensor can be taken. Secondly, aiming at the sensor with the densest sampling points, the modified parallel filtering is given. Afterwards, the sequential filtering fusion method is introduced to deal with the case that there are multiple mapped measurements at some sampling point. Finally, a novel parallel filtering fusion algorithm for asynchronous system with integer times sampling is proposed. Besides, a judgment scheme to distinguish measurement number at every sampling point in the fusion period is also designed. One simple computer numerical value simulation is demonstrated to validate the effectiveness of the judgment scheme and the proposed asynchronous fusion algorithm.
Ann-Based Pad Modeling Technique for Mosfet Devices
Xiuping Li;Yushan Li;Junhui Zhao
PIER , 2011, DOI: 10.2528/PIER11042702
Abstract: In this paper, an approach for the pad modeling of the test structure for Metal Oxide Semiconductor Field Effect Transistor (MOSFET) up to 40\,GHz is presented. The approach is based on a combination of the conventional equivalent circuit model and artificial neural network (ANN). The pad capacitances and series resistors are directly obtained from EM (electromagnetic) simulation of the $S$ parameters with different size of pad and operating frequency. The parasitic elements in the test structure can be modeled by using a sub artificial neural network (SANN). So the pad capacitances and series resistors can be regarded as functions of the dimensions of the pad structure and operating frequencies by using SANN. Good agreement between the ANN-based modeling and EM simulation results has been demonstrated. In order to remove the impact of the parasitic elements, the de-embedding procedure for MOSFET device using ANN-based pad model is also demonstrated.
Two dimensional mixed traffic flow considering the transit traffic
Li Yang,Junhui Hu,Lingjiang Kong
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i8.1627
Abstract: Based on the two-dimension cellular automaton traffic flow model (BML model), a mixed traffic flow model for urban traffic considering the transit traffic is established in this paper by using the Don't block the box rules. We have investigated the influences of the transit traffic ratio, and found that, in most cases, the urban traffic flow exhibited jam phase. Moreover, focusing on the traffic lights cycle, it is found that the average flow has the periodic fluctuation phenomenon, and we have explained this periodical oscillation change under different boundary conditions. The comparison to practical measured data shows that our stimulation results are accordant with the changes of real traffic flow, which confirms the accuracy and rationality of our model.
Electrodeposition and Low-Temperature Post-Treatment of Nanocrystalline Films for Flexible Dye-Sensitized Solar Cells
Shengjun Li,Yongjun Li,Zeng Chen,Junhui Liu,Weifeng Zhang
Journal of Nanomaterials , 2012, DOI: 10.1155/2012/536810
Abstract: SnO2 porous films were electrodeposited on Ti substrate using pulse-potential technique. These deposited films were dealt with different post-treatments. The effects of the post treatments were investigated through X-ray diffraction, FE-SEM, and Raman spectra. These investigations showed that crystal nanoporous SnO2 films were obtained through low-temperature post-treatment process. The photoelectric conversion efficiency of the SnO2 film treated with both the water vapour treatment and ultraviolet illumination was improved to be 0.35% which was comparable with the conversion efficiency of the film sintered at 550°C.
Analysis of the Factor Affected Chinese Audience Choice Behavior between Traditional TV and Network Video in PLS-SEM  [PDF]
Deqing Tan, Junhui Bai
Modern Economy (ME) , 2015, DOI: 10.4236/me.2015.67078
Abstract: Since the technical barriers of media industry were resolved, audience has become the determinant that impacted the development of media industry who would choose different media products depending on their perception. In order to find the key factors that impact Chinese audience’s choice behavior and provide practical guide for media industry to improve its service, the paper studies influence of audience’s perception on their choice between traditional TV and network video by building PLS-SEM. And then, partners and age which were proved to be the most important demographic characteristics affecting audience choice of video terminal in author’s previous studies are selected as moderator variables to explore how demographic characteristics influence the different paths of assumptions. The statistical results indicate that relative performance expectancy, relative effect expectancy, relative social influence and habit have significant positive effects on choice intention, relative time-related risk has no significantly negative effects on choice intention, relative physical risk has significant negative impacts on choice intention, habit and choice intention have significant positive effects on choice behavior. In the different paths of assumptions, partners and age exist significant differences.
A Case Study on the Relationship between Personality Traits and Parameters of Social Networks  [PDF]
Xiaowei Yan, Junhui Gao
Open Journal of Social Sciences (JSS) , 2016, DOI: 10.4236/jss.2016.47016
Abstract:

In this paper, the relationship between personality traits and the parameters of certain social networks is investigated directly through data collection by precise questionnaire surveys. First, social network analysis is employed to calculate multiple parameters of the networks. Then, a correlation analysis is conducted on the relationship between the personality traits and the parameters. The results show that some network parameters are in consistent with the students’ personality traits. Results also reveal that the parameters of the respondents who mark themselves as “extroverted” are much closer to those of respondents who mark themselves as “neutral” than “introverted”.

A Study on Numerical Calculation Method of Small Cluster Density in Percolation Model  [PDF]
Xucheng Wang, Junhui Gao
Journal of Applied Mathematics and Physics (JAMP) , 2016, DOI: 10.4236/jamp.2016.48159
Abstract:
Percolation theory deals with the numbers and properties of the clusters formed in the different occupation probability. In this Paper, we study the calculation method of small clusters. We calcu-lated the small cluster density of 1, 2 and 3 in the percolation model with the exact method and the numerical method. The results of the two methods are very close, which can be verified by each other. We find that the cluster density of all three kinds of small clusters reaches the highest value when the occupation probability is between 0.1 and 0.2. It is very difficult to get the analytical formula for the exact method when the cluster area is relatively large (such as the area is more than 50), so we can get the density value of the cluster by numerical method. We find that the time required calculating the cluster density is proportional to the percolation area, which is indepen-dent of the cluster size and the occupation probability.
Data Analysis Instance for NBA Star Shooting  [PDF]
Zhengyang Xie, Junhui Gao
Open Journal of Social Sciences (JSS) , 2016, DOI: 10.4236/jss.2016.49001
Abstract:
In this paper, we analyze the field data of NBA star players. We choose 25 of them and download the data from the NBA official website. The data is statistically analyzed from all aspects: the position of the player, the location on the court, the time order of two points and three points and the combination of these elements. We get some results according to the analysis. For example, players of all five positions prefer to make shots right ahead the basketry; attempts of three points reach the climax during the third quarter; over the last five minutes of the game, the rate of the number of two-point attempts is the lowest and that of three-point attempts is the highest at the 46th minute.
A Comparative Study to Understanding about Poetics Based on Natural Language Processing  [PDF]
Lingyi Zhang, Junhui Gao
Open Journal of Modern Linguistics (OJML) , 2017, DOI: 10.4236/ojml.2017.75017
Abstract: This paper tries to find out five poets’ (Thomas Hardy, Wilde, Browning, Yeats, and Tagore) differences and similarities through analyzing their works on nineteenth Century by using natural language understanding technology and word vector model. Firstly, we collect enough poems from these five poets, build five corpus respectively, and calculate their high-frequency words, by using Natural Language Processing method. Then, based on the word vector model, we calculate the word vectors of the five poets’ high-frequency words, and combine the word vectors of each poet into one vector. Finally, we analyze the similarity between the combined word vectors by using the hierarchical clustering method. The result shows that the poems of Hardy, Browning, and Wilde are similar; the poems of Tagore and Yeats are relatively close—but the gap between the two is relatively large. In addition, we evaluate the stability of our approach by altering the word vector dimension, and try to analyze the results of clustering in a literary (poetic) perspective. Yeats and Tagore possessed a kind of mysticism poetics thought, while Hardy, Browning, and Wilde have the elements of realism combined with tragedy and comedy. The results are similar comparing to those we get from the word vector model.
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