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.

Conductive contradictions are often encountered in dealing with complex contradictory problems. However, as the current research on the causes of conductive contradictions is not in-depth enough, it is unable to carry on the intelligent analysis and processing them. The purpose of this research is to find an effective mechanism to solve the problem of conductive contradictions in the complex contradictory problems being classified and the formal definitions given. Then conductive correlation degree is introduced to find the causes of conductive contradictions and an application example is presented to show the correctness of the proposed theory. The research results provide a theoretical basis for the analysis of the conductive contradictions during the intelligent processing of complex contradictory problems.

Since Software-Defined Networking (SDN) is gradually under the direction of large-scale development, the semantic-mismatching problem of management information for SDN may exist in both domain descriptions of management information for SDN management layer and SDN infrastructure layer. The extension theory, as a new model for the formal description of information and knowledge, provides a feasible method for the study of the semantic-mismatching problem of management information for SDN. First the representation of management information for SDN is proposed using basic-elements, and then the extension transformations are performed. Finally the semantic-mismatching problem of management information for SDN between the management layer and the infrastructure layer is studied and solved from the formal viewpoint. Results of example analysis show that application of extension theory in the study of management information for SDN using basic-elements and extension transformations aims to establish a certain foundation of information representation for evolution of the SDN architecture and its large-scale development of network management.

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.

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.

Selective Catalytic Reduction (SCR）is the key technology for diesel effluent to meet today’s emission standards. The De NO_x 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 V₂O₅/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.

In order to select the best detection method of chloride in water, a comparison of ion chromatography method with ion selective electrode method in the detection of chlorides in water has been carried out via the analysis of detection limit, precision, accuracy and standard addition recovery rate and the assistance of statistical software PASW statistics 13 for the T. The advantages and disadvantages of two different test methods of chloride in water are described and discussed, the differences of the two methods compared, and the better results obtained, which provides some references to choose the detection method of chlorides in water. At the same time, it provides the experimental basis for the law enforcement of environmental protection department.

As the microstructure of soil is politropic and heterogeneous, the microstructure of soil can be simulated by fractal model and described with fractal parameters. The Pearl River Delta(PRD) soft soil environmental scanning electron microscope (ESEM) pictures are tested and the change of microscopic features in the process of soft soil consolidation analyzed based on the Sierpinski fractal model. A parameter which reflects the size, shape, distribution and orientation in the alignment of soft soil pore is defined and this parameter named as impact factor of pore. The research shows that this parameter can give a correct evaluation to the change of soft soil pore. There is an obvious relativity between this parameter and the consolidation load, the permeability coefficient and the compression coefficient. The parameter of natural soil is larger than the remolded soil in the same consolidation load, but they are equal when the load is large enough. The parameters which come from different areas would be the same when the consolidation load is large enough and approximates 18.

To evaluate the performances of speckle filters for polarimetric synthetic aperture radar images, a unified evaluation framework that includes both the polarimetric information and spatial information is established. The very high resolution SAR image will be employed as the experimental data. The polarimetric and spatial indicators are listed, and then the procedure for applying the evaluation is demonstrated. The absolute relative bias is suggested for the purpose of evaluating the parameters. The very high resolution image provided by UAVSAR system is designated as the experimental data and then six classic speckle filters have been tested in respect of their performances. The results of the evaluation, as an important reference, are beneficial to the users who will design some polarimetric applications therewith.

Based on electric business platform participation anti-counterfeiting, cumulative prospect theory is used to improve evolution game method, building an electric business platform and an online seller benefit perception matrix. Considering the interests of both sides, bonus incentive variable is introduced, an online sellers sales strategy selection model under the bonus changes is built, and it is proposed that an e-commerce platform need rational use of financial incentives and penalties for the two-way control. Not only the limitations of traditional gaming models are solved, but an actionable anti-counterfeit direction for e-commerce platform is also provided.

In video-monitor system, the synchronous transmission of audio and video is a key issue. The audio and video being out of synchronization was caused by the difference among the size of audio data and video data in the procedure of capturing, transmitting and encoding. To solve these problems, a solution is proposed which defines a data structure to store the time-related frames of audio and video data and control the synchronization of audio and video data through all the procedure. At last, the FFMPEG project is ported to Android device to do the experiment. It turns out that the algorithm proposed in this research has a good effect of synchronization. It can meet the need of synchronization in the specified scenes. At the same time, the new method of audio and video processing of Android platform is proposed, which is of great significance in engineering practice.

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.

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.

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.

A new stability criterion based on the linear matrix inequality (LMI) input-to-state stability criterion is given. Based on model transformation, input-to-state stability of Stochastic neural networks with Time-Varying Delay is given a sufficient condition in form of linear matrix inequality by constructing appropriate Lyapunov-Krasovskii functional, stochastic analysis theory and Itô's formula and applying some inequality approach. Then, the proposed method is proven to be less conservative by illustrating with the numerical examples, which shows the effectiveness of the method.

Formation control problem of second-order multi-agent systems with coupling time-varying delays and switching topologies is firstly investigated in this research. A distributed formation control protocol is designed based on consensus theory. By introducing model transformation method and Lyapunov-Krasovskii theory, some sufficient conditions in terms of linear matrix inequalities (LMIs) are given for stable formation control of multi-agent systems and then the priority of a system with circular jointly-connected topologies is analyzed. Finally, simulation results are provided to verify the validity and effectiveness of our theoretical results. The research shows that multi-agent systems with longer time-varying delays can achieve expected stable formation as well as desirable velocity just under a jointly-connected topology.

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.

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.