The host-guest self-assembly process between β-cyclodextrin modified chitosan (the host polymer) and methoxypoly (ethylene glycol) adamantane carboxylate (the guest polymer) was studied by quartz crystal microbalance, which further prepared brush polymer. Quartz crystal surface, which was coated, was placed in the sample cell for testing. After the baseline was balanced, solution was passed into the sample cell. At the same time, the change in ΔF and ΔD as a function of time was recorded. Results indicated that ΔF decreased and ΔD increased significantly in the initial stage, and they both changed slowly and gradually reached equilibrium. When deionized water was passed into the sample cell, ΔF increased and ΔD decreased slightly until balance was reached. This information demonstrated the host-guest self-assembly between β-cyclodextrin and adamantane and this process showed two dynamic procedures coupled with chain conformational changes of polymer. This work may provide a new method for the research of the host-guest self-assembly process on solid/liquid interface.

With the continuous improvement of material life, formaldehyde has become the main substance of indoor air pollution. For indoor air purification, the removal of formaldehyde becomes particularly important. Manganese dioxide (MnO₂) was in-situ loaded onto non-woven fabric made of polyethylene terephthalate (PET) by water bath method, which has mild reaction conditions and simple processing. The synthesized MnO₂/PET composites were characterized by scanning electron microscope (SEM), diffraction of X-rays (XRD) and specific surface area test (BET), imitating the indoor environment to make the initial concentration of 2.84 mg/m³, after 6 h, and making the concentration of the formaldehyde to 0.33 mg/m³, with the removal rate of formaldehyde reaching 88.29%. This study provides an efficient method for the synthesis of formaldehyde oxidation catalyst, which provides a new idea for indoor formaldehyde catalysis.

The integration of membrane distillation and heat transfer network is an effective way to reduce energy consumption and also a typical water energy relation system. A mathematical model is established for the integration of membrane distillation system and heat exchange network. The integrated system is compared with the separate system to test the proposed integration system. The sensitivity analysis of membrane distillation feed water temperature and membrane specifications on the system economic performance are conducted. The results show that the integrated system is better than that of the separate system in economic performance, and the higher the feed water temperature, the better the system economy. The most economical membrane is PTFE membrane, followed by MD020CP2N membrane, GVHP membrane and PVDF membrane under the same inlet temperature and a certain scale of water treatment system.

As a new management model of water distribution system (WDS), DMA, which has an essential significance for improving management level of WDS, is proposed. In recent years, researches had yielded some results on problems such as DMA zonal methods, leakage controling, pressure management and water network protection from intentional contamination and so on. Based on summaries of fundamental principles and design discipline of DMA, the current research progress of theoretical DMA zonal methods is focused on, and the merits and drawbacks of those methods analyzed. At last, the summaries and improvement objective of DMA zonal methods are presented, and the future research directions and the potential practical value of community structure are suggested at the same time．

The thermal comfort of the boarding bridge as a transitional space is important. The harsh environment of transitional space will affect the boarding experience of passengers and even affect the service quality of the aviation industry. The study of air velocity field and temperature field of boarding bridge is carried out by using computational fluid dynamic (CFD) software with reasonably simplified body of the A380 Aluminum Alloy type boarding bridge. The influence and effect of air supply parameters on the air velocity field and temperature field distribution for the boarding bridge are investigated. The distribution rule of air velocity and temperature field of the boarding bridge under the different air supply velocity and temperature are obtained. The optimal air supply speed and air supply temperature of the boarding bridge are determined in accordance with the thermal comfort of the human body. Therefore, it provides some guidance for the environment control and air conditioning optimization of the transition space such as the boarding bridge.

To improve the solution searching efficiency of NSGA-Ⅱ in the multi-objective optimization of water quality monitoring station, an external archive is established to store non-dominant solution and the option of the paternal chromosomes improved on the basis of NSGA-Ⅱ. NSGA-Ⅱand improved NSGA-Ⅱare respectively used to solve the multi-objective optimal placement of water quality monitoring station in example network. The result shows that: comparing with NSGA-Ⅱ, the improved NSGA-Ⅱsaves about 42% of the operation time and improves the efficiency of solving in the complete non-dominant optimal solution. The improved NSGA-Ⅱis more applicable to solve multi-objective optimal placement of water quality monitoring station in actual network.

The United States gradually released the 1"(about 30 m) SRTM DEM (Shuttle Radar Topography Mission Digital Elevation Model)data to global users in September 2014. To compare the difference between 1" and previously released 3"(about 90 m) SRTM DEM data on InSAR(Interferometric Synthetic Aperture Radar), interferograms are produced by using radar images from the European Space Agency's (ESA) Envisat and the influence of different DEM on the single interferogram and the average velocity of multiple interferograms covering the Pearl River Delta region analyzed. The results show that the difference between 1" and 3" DEM on the single interferogram is proportional to the length of the perpendicular baseline. For an interferometric pair with perpendicular baseline of 50 m, for example, the difference is distributed within ±4 mm, and 89% of which is within ±1 mm. Due to the random distribution of the perpendicular baselines for multiple interferograms in a track, the difference of the average rate obtained from all the interferograms is within ±4 mm/yr, and 90% of which is within ±1 mm/yr. Therefore, it is concluded that 1" and 3" SRTM DEM have no significant difference on InSAR deformation monitoring in the Pearl River Delta.

Effective financial supervision has become a necessary guarantee for sound development of economy. Supervising the whole financial social network effectively would become possible if a set of key nodes which carry all the information flow in the financial social network can be found. The scale of social network is often quite large, so parallel algorithms for large-scale graph processing are necessary. A Pregel-based parallel algorithm for the minimal cut set problem is proposed. The experiment is conducted on Apache Spark platform. All data used in the experiment is from the BoardEx database. Experiment results show that the algorithm has a good performance in large-scale social network graph processing. With this parallel algorithm, minimal cut sets of financial social network graphs can be obtained so that effective financial supervision can be implemented.

Most of web pages contain content information as well as a lot of noisy information. In order to address this problem and improve the accuracy of web page extraction, a web page extraction method is proposed via text block density with tap path and other features. The proposed method mostly combines the advantages of text block extraction method and label path extraction method. First, the block of the text is determined according to the density feature of the text block, and then the tag path method is used to remove the noisy node in the block, the text node in the text block is extracted from the content finally. This solution effectively solves the problem that the noisy information in the text block is difficult to filter and the tag path method is easy to extract the long text from the noisy block. In the end, experiments show that the solution is better than CETR and CETD in most cases.

Wind turbine gearbox has high failure rate in its complex operation. In order to overcome the drawbacks of the conventional BP (Back Propagation) neural network which is easy to trap into local optimal, a new fault diagnosis model of turbine gearbox is presented based on BP neural network optimized by crisscross optimization (CSO)algorithm. Considering the instability and complexity of vibration signal of the wind turbine gearbox. The fault feature for gearbox is first extracted and a new error analysis model is established with assessment factors, CSO is then used to optimize the weights and bias of BP neural network, and finally the trained neural network is used to test the samples. The simulation and comparison with other methods show that the proposed method is effective and efficient in fault diagnosis of wind turbines.

Large-scale wind farm brings clean energy to the grid, and at the same time also many challenges to the power system's safe and reliable operation. A research is conducted on the optimal power flow with wind farm for improving the stability and energy efficiency of power system operation is great significance. The optimal power flow with wind farms is a new complex problem of high dimension and nonlinearity, and the complexity and computational complexity of optimal power flow are further increased due to the randomness, intermittency and uncontrollability of wind power. With this problem in view, the development of the optimal power flow with wind farms and the influence of the randomness of wind power on the power system through the main line of mathematical model and solving method are expounded, and the existing research on wind farm treatment summarized, and the advantages and disadvantages of various algorithms for solving the optimal power flow with wind farm analyzed. On this basis, the future research direction of optimal power flow with wind farm is prospected.

Effectively improving the wireless communication network energy efficiency, reducing energy costs, and improving the quality of communication services has always been an important research topic in the field of communication. The base station sleep technology is used to close the low load or the idle state of the base station combining with energy collection technology to collect clean energy for the use of base stations and other systems. Through the system energy collaboration to reduce energy waste, the collaborative model is in a constraint optimization problem. A dynamic weight constraint optimization algorithm is used to solve the model. Experiments show that our proposed system model can effectively reduce the network energy consumption and improve the communication rate.

With the conditions of active leadership and system topology switching, the leader-following consensus in the second-order nonlinear multi-agent systems is studied. While the protocol takes continuous control at non-pulsed moments and discrete control at pulse moments, an innovative view is raised that the speed increment of each agent is not only related to the displacement state of the adjacency agent but also to the velocity state. A New Model of Error System is constructed, based on Lyapunov stability theory, using mathematical induction and other related knowledge, and getting the sufficient conditions to achieve consensus when the system topology is directed and connected, and the result is verified by the Matlab simulation.

A novel method to suppress the multi-path satellite signals in urban canyons environment is presented. Based on the relationship between the azimuth angle and the elevation angle of the satellite in relation to the direction of the road, the method can effectively judge the current time by comparing the parameters of the azimuth angle and the elevation angle relationship by calculating the pseudorange residual of the satellite to compare with the threshold value satellite and non-line-of-sight satellites, and eliminate non-line-of-sight satellites, reducing the impact of multipath effect, in order to achieve the city canyon environment, high-precision positioning of vehicles. Through the theoretical analysis, simulation and practical test results show that this method can effectively improve the positioning accuracy of the vehicle.

A novel patch antenna with a slotted surface and a radiation frame is presented. HFSS software simulation results show that both the impedance bandwidth and the axial ratio bandwidth are significantly increased compared with the normal sole patch antenna, and higher gain together with better dual-band characteristics can be obtained as well. Its dual bandwidth is able to cover frequency band L1 and L2 of four satellite systems including GPS/GLONASS/GALILEO/Compass. Therefore, in place of the dual patch antenna, it is particularly suitable for the use of handheld high precision navigation terminals. Furthermore, this novel patch antenna has the advantages of wider bandwidth, smaller size and lower cross-section over other dual-band circularly polarized patch antennas, which leads to a promising prospect.