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A Review of Social Media Popularity Studies: A Technology Dependent and Social Construction Perspective
Du Helen S, Ke Xiao-bo, Yi Hu, Hu Shao-ru
Journal of Guangdong University of Technology. 2017, 34 (04): 1-11.
DOI: 10.12052/gdutxb.170063
Nowadays, mobile social media have already become the all-inclusive platforms helping people to fulfill their various needs. Firms and governments are actively looking for new ways of leveraging mobile social media to obtain more competitive advantages. However, the volume of literature related to mobile social media popularity is yet limited. Current studies of the traditional social media are mainly based on the theoretical perspectives of either technology dependence or social construction. Through three research orientations, namely determining factors of popularity, laws of variance and socioeconomic influence, domestic and foreign related literature is first reviewed for the further development of research on mobile social media popularity. And then, drawn on the two theoretical perspectives, i.e., technology dependence (e.g., human-computer interaction) and social construction, a further analysis is conducted to summarize seven research areas of human-computer interaction perspective and three research categories of social construction perspective. The literature review results suggest that the combination of these two theoretical perspectives is likely to become a critical foundation for future studies related to (mobile) social media. Finally, according to the research framework of social media popularity, several possible research directions for the mobile social media popularity are discussed.
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Effects of Activated Carbon in Sodium Alginate and Polyvinylacohol Immobilization Pellets of Penicillium sp. on Chlorobenzene Removal
Du Qing-ping, Chen Zhan-ming, Li Yan-xu, Li Le, Ling Jia-yin, Xu Yan-bin
Journal of Guangdong University of Technology. 2017, 34 (04): 22-26.
DOI: 10.12052/gdutxb.160142
By embedding activated carbon and Penicillium sp. with the combination of sodium alginate (SA) and polyvinyl alcohol (PVA) as embedding agents, the ingredients of compound gel balls were optimized, and the associated mechanical strength, environmental stability, mass transfer performance and chlorobenzene removal under different levels of activated carbon contents were also assessed. Experimental results showed that the optimal mix ratio of the three compounds for composite gel beads was w (PVA)∶w (SA)∶w (CaCl2 )=6%∶2%∶2%. The addition of activated carbon was showed to be able to enhance the mechanical strength of immobilized pellets and the maximum mechanical strength was observed at the addition of 1% activated carbon. The stability of PVA-SA balls under acidic condition was higher than that of alkaline condition and their stability was increased with the increase of activated carbon contents. The addition of activated carbon increased the removal ability of chlorobenzene under the conditions of 30 ℃, pH 6, chlorobenzene initial concentration of 30 mg/L. The removal percentage of chlorobenzene reached over 80% when activated carbon content was 1% or 1.5% at 72 h. In conclusion, the addition of 1% activated carbon in the immobilization PVA-SA balls of Penicillium sp. improved the overall performance of the embedded pellets, with significant increase in mechanical strength, environmental stability, mass transfer performance and removal efficiency of chlorobenzene in water.
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A Research on Steam Extracting and Screening Technology of Cinnamon Leaf Essential Oil
Zhang Hao, Chai Xiang-hua
Journal of Guangdong University of Technology. 2017, 34 (04): 27-30.
DOI: 10.12052/gdutxb.160097
The method of steam extracting is used to heat the leaves of cinnamon soaked by water, which can break the cells of cinnamon leaves to release essential oil. Then water is added to the reaction for assistant extracting, followed by centrifuging and cooling down to obtain cinnamon oil. Single factor experiment and orthogonal test show the highest essential oil extraction rate of cinnamon leaves can reach 7.13‰ under the extracting conditions: soaking for 5 hours and 900 W of extracting power, extraction time of 3 hours. Especially, the power has significant influence on cinnamon oil extracting. Finally, the composition of extracted cinnamon oil is analyzed by GC-MS, (Gas Chromatograph-Mass Spectrometer-computer, GC-MS).The result shows that the main compositions of extracted essential oil are trans-Cinnamaldehyde, Diethyl phthalate and Eugenol, while the main components of chemical synthesis products are trans-Cinnamaldehyde and cinnamic acid. The two products can be distinguished quickly through the different components.
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An Intelligently Controlled Device for SCR Catalytic Ensemble Testing, Its Designs and Applications
Xiao Jian-ming, Zhao Xiang-yun, Yang Xiao-bo, Yu Lin, Fan Qun
Journal of Guangdong University of Technology. 2017, 34 (04): 31-35.
DOI: 10.12052/gdutxb.160093
Selective Catalytic Reduction (SCR)is the key technology for diesel effluent to meet today’s emission standards. The De NOx efficiency is directly determined by the activities of the catalyst. In purpose of precisely and efficiently evaluating the activities of the catalysts, a device that is intelligently controlled by robots for evaluations of the activities of SCR catalytic ensembles is presented in this research. The device is using circulated hot air heating to maintain the temperature of the catalyst sample. By separating the reaction channels from the heating air, NO and Ammonia mixture is flowing through a small portion of the heated catalyst substrate while the NO concentration is monitored continuously. In this way, NO conversion rate and temperature curve is measured. Under the conditions of space speed 40 000 h-1 , NO initial concentration of 1.2 ‰, in the temperature range of 150 ℃ to 250 ℃, the conversation rates of a V2 O5 /WO3 /TiO2 SCR catalytic ensemble sample are from 18% to 88%. The stability and intelligent level of the device are also tested by evaluating the SCR catalytic ensemble samples. The same sample is tested twice and the conversion curves are overlapped. For comparisons, the samples are also tested in a micro reactor and a diesel engine bench. Results attained in all these test fixtures are comparable. In addition, the cost of testing a sample on the device is only 1% of that when tested on a diesel engine bench. The intelligent device described in this research is a well-designed non-destructive test fixture. It is non-destructive, similar to a diesel engine bench, and is also very economical and easy to operate, similar to a micro reactor. The device can be used for daily operation of scale up experiments, as well as for products inspections.
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A Reliability Analysis of Intelligent Substation Relay Protection Based on Fuzzy Algorithm
Li Yong-liang, Zhou Lei, Yan Hao-ran, Jiang Qing-yun, Zhong Xi-wei
Journal of Guangdong University of Technology. 2017, 34 (04): 65-71.
DOI: 10.12052/gdutxb.160126
In order to ameliorate the credibility of relay protection reliability assessment towards smart substation, based on study of traditional substation reliability, a multi-state-space diagram is established for smart substation relay protection system, consisting of three subsystems which are relay protection equipment, communication subsystem and personnel subsystem. Each subsystem is modeled with different reliability evaluation methods and its effect on the protection system is analyzed. Markov state space method with fuzzy algorithm is applied to solve the general availability of protection system under different configuration structures and network structures. A practical example is calculated to validate the effectiveness and rationality of the models and algorithms built in this paper, which provides reliable basis for smart substation protection system reliability evaluation.
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Cascade Reservoirs Operation Optimization Based on Crisscross Optimization Algorithm
Wang Lang, Meng An-bo, Li Jin-bei, Wei Ming-lei
Journal of Guangdong University of Technology. 2017, 34 (04): 72-77.
DOI: 10.12052/gdutxb.160108
An optimal operation model for hydropower station is characterized by multiple constraints, high-dimension, nonlinearity, and difficult model solution. To surmount these problems, a Crisscross optimization (CSO) algorithm is presented to solve the model. Crisscross optimization algorithm searches the global optimum using a dual cross search mechanism, which can improve the ability of the global optimization searches via the organic integration of the two crossover operators by competition. On the one hand, the cross and vertical cross two can enhance the global search capability and avoid the local optimal problem. On the other hand, the golden mean is generated by the two crossover operators and the dominant solution generated by the competition, which can quickly converge to the global optimum. A case study reveals that Crisscross optimization algorithm performs better in global optimization ability and stability compared with the standard particle swarm optimization algorithm, the genetic algorithm, the expectation-maximization algorithm, and it can be effectively applied to the optimal operation of cascade reservoirs.
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An Improved Particle Swarm Algorithm Far Away from Worst Solution
Liu Wen-kai, Wen Jie-chang
Journal of Guangdong University of Technology. 2017, 34 (04): 78-83.
DOI: 10.12052/gdutxb.160079
A new particle swarm optimization (PSO) algorithm is proposed in reference to worst solution of being local in standard PSO to avoid the problems of being easy to converge to a local minimum, premature convergence and low precision. In the late period of particle swarm optimization and global optimum (Gbest) when there is no change, the local optimum (Pbest) is equal to the Gbest. Then the speed to move closer to the optimal direction vector is zero, and particles go along the direction only by its own inertia. When the proposed algorithm is added to the local minimum (Pworst) algorithm, the particle's forward move is not only affected by its own inertia, but it also can continue to find the best, so as to find the global optimal. This algorithm, by applying the idea of the particles avoiding the worst local and global solution, improves the velocity updating formula based on the PSO, and tests respectively the worst global solution and local worst solution on the influence of particle swarm optimization algorithm. Several typical test function simulations show that the proposed algorithm not only has great advantages of convergence property over some other modified PSO algorithms, but is also effective in avoiding being trapped in local optimal solution.
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A Method of Raising Bufferless Network-on-Chip Performance
Zhang Kun, Liu Yi-jun
Journal of Guangdong University of Technology. 2017, 34 (04): 97-101.
DOI: 10.12052/gdutxb.160020
In low load, bufferless Network-on-Chip (NoC) routing performance is better than buffered routing, and has the advantage of low-power dissipation and low latency. But in the condition of high load due to increased competition and the emergence of deflection decrease bufferless NoC routing causes more time-delay and energy consumption. Based on congestion control, a new way is proposed to reduce packet deflection on bufferless NoC in high load condition. The competition frequency of each output link of the router in the congestion register is recorded. When competition occurs on one output port, a count is increased in the corresponding register. According to the priority policies,while winning the route calculation flits through the effective output port, the other flits are deflected to an inactive output port of low congestion degree. This method, based on improvement of the priority control algorithm, can effectively reduce the number of flits deflection when the congestion occurs. Through the simulation, this method can effectively reduce the deflection and average delay of a flit in high load condition.
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On Relationship Among Project Managers’ Behavior, Organizational Support and Employee Engagement: An empirical analysis of real estate enterprises
Wang Dong, Liu Jing-kuang, Zhu Hui
Journal of Guangdong University of Technology. 2017, 34 (04): 102-110.
DOI: 10.12052/gdutxb.170047
A successful project requires good leaders and team, which can bring huge profits for real estate enterprises. However, as the real estate industry is not stringent enough in the human resources management and control, the employees’ professional degree is not high, incurring serious brain drain. Therefore, how to improve employee engagement has become the core issue of the real estate industry. With the real estate project manager as the research object, by way of questionnaire survey, and adopting the method of correlation analysis and regression analysis, the action of the project manager, organizational support and employee engagement relationship are investigated. Research shows that: project manager behavior, organizational support and employee engagement are related, and the organization support has played a regulatory role in the project manager behavior and employee engagement.
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