The Internet has become an important way of obtaining information, but it is still difficult to provide aids to problem solving. Problem solving oriented knowledge searching in the Internet has not been solved thoroughly. The key factor is the reconstruction of web information. The combination of network and intelligence will bring the knowledge-based application of web information into a new stage. A cross-study is proposed on the novel hybrid method of extracting the objects, attributes, and values from the mass information of internet with simulation and automatically building the field basic elements on macro information based on Extenics, factor space theory and intelligent knowledge. In addition, a lot of future research directions are put forward, such as on intelligent algorithm which collects correlative factors of special problem from the field of information for acquiring domain knowledge. The research may provide theoretical basis and new methods for using the internet to generate the innovative strategy of problem solving and examine a new generation of problem-solving oriented knowledge search engine.

Based on basic element theory in Extenics and TRIZ(theory of inventive problem solving) functional model analysis method, an improved functional analysis method with two theoretical advantages is studied. First, the basic element and the TRIZ function model analysis method are expounded. On the basis of the full understanding of the two analytical theories, the process and steps of improving the functional analysis method are designed and expounded, and the concrete implementation process and application of the new method are explained and discussed with the toothbrush as a case. The improved functional analysis method has the characteristics of the formal representation and information mining of the basic element to the problem. At the same time, it has the TRIZ function model to express visually and vividly the structure and composition of the system. It is a more comprehensive and effective method of problem analysis.

In applications such as communications and cloud storage, electronic files encryption is an important way to enhance information security and prevent cyber theft. A new encryption scheme and its hardware realization are proposed. First, two 3-D discrete time chaotic systems based on chaos anti-control theory are designed. Then each variable from these two chaotic systems is multiplied and molded, and the results are used to encrypt files. Security analysis is finally conducted. To keep the encrypted file remaining in its original format, the encryption system only encrypts the file data section but not the file format section, so that it avoids the format compatibility problems caused by format corruption. The encryption system is implemented mainly based on a SOPC (System on a Programmable Chip), while the encryption algorithm is achieved in FPGA (Field Programmable Gate Array) and the Ethernet communication is realized in ARM (Advanced RISC Machines). Experiment results show that the electronic files are encrypted and decrypted correctly and the format is compatible, and thus experiment results present the favorable security performance and the technical feasibility.

With the rapid growth of urban population, the travel demand of public transportation of citizens also rises, which easily causes problems such as difficulty in getting on at some stations during rush hours. It is of great significance to relieve the pressure of urban public transportation by analyzing the big data of IC card to deduce the passenger flow at the boarding station and predict the distribution of passenger flow in advance. For more targeted research on dynamic passenger flow distribution of stations, a kind of clustering analysis method is adopted based on IC card data, through the establishment of data model of bus lines and stations of rush hour traffic, to analyze the measured results, and finally measures are put forward to improve traffic operation, including dispatching station express, shuttle bus and other measures, ensuring urban residents ease and comfort in daily bus ride and at the same time providing guidance for the city traffic department on bus lines design and comprehensive transport planning.

The logistics industry needs high-quality service to obtain rich profits and user loyalty. Mobile social platforms such as WeChat provide new channels for logistics enterprises to enhance their competitiveness. However, logistics firms have not found effective measures to enhance their WeChat influence, and research regarding the influence of firm-based mobile social media is lacking in the logistics industry. Based on the heuristic-systematic model, the relationship between various information cues, WeChat influence and service quality are explored by quantitative content analysis and qualitative research. Research shows that heuristic cues (i.e. content freshness and source credibility) as well as systematic cues (i.e. mobile transaction navigation and user interaction) can potentially affect enterprise WeChat popularity. Logistics company WeChat has positive impact on the time, personnel and quality of logistics service. And WeChat positively influences time quality, personnel service quality and cargo integrity.

Failure diagnosis of discrete event systems (DESs) has received considerable attention in recent years. The failure diagnosis for fuzzy discrete event systems (FDESs) modeled by fuzzy automata is investigated. First, for two kinds of failure patterns:S type pattern and T type pattern, the notions of diagnosability for S type pattern and for T type pattern of FDESs are respectively formalized. Then by constructing S type pattern diagnoser and T type pattern diagnoser, the necessary and sufficient conditions for the diagnosability of S type pattern and T type pattern of FDESs are respectively proposed, and the pattern-based failure diagnosis of FDESs is realized.

A method of visual perception and decision making based on deep reinforcement learning was proposed, to solve the problem of malfunction and instability in the trajectory tracking and dynamic obstacle avoidance of mobile robot in a partly observable nonlinear dynamic environment. This method was used in a general form to combine the perceptual ability of convolutional neural network (CNN) with the decision-making ability of reinforcement learning. The visual perception input of environment was transformed into the direct output control of actions by the way of end-to-end learning style, so that the system environment perception and decision-making control directly formed a closed loop. The optimal decision-making strategy was acquired from the maximization of interactive cumulative reward between robot and dynamic environment. The results of simulation experiment showed that this method could meet the requirements of multi-task intelligent perception and decision making, and well solve problems of the traditional algorithm such as easily falling into local optimum, vibrating and failing to identify the path among the similar obstacles, wavering in the narrow passage and failing to reach the targets near obstacle. It greatly improved the instantaneity and adaptability of robot trajectory tracking and dynamic obstacle avoidance.

Aiming at the problem that in Q learning algorithm Q value is slow in updating speed in complex unknown environment and the dimensionality disaster is easy to occur, a path planning algorithm based on virtual subtarget for Q learning robot in unknown environment is proposed. According to the state trajectory explored by the mobile robot, two state chains are established to record the state-action pair and the state-reverse action pair respectively. The Q value of each single chain current state is fed back to the Q value of the previous state in turn till it affects the head of a single chain. Meanwhile, the problem that Q learning is prone to dimensionality disaster in large-scale environment is solved by finding the optimal virtual subtarget in the local detection domain. The experimental results show that the algorithm can effectively accelerate the convergence of the algorithm learning, improve the learning efficiency and complete the robot navigation task with a better path in the complex unknown environment.

Internet of Manufacturing Things obtains real-time state data streams through the deployment of massive sensor nodes in industrial processes. Using the complex event processing method to analyse and process the large-scale and real-time data streams generated in the monitoring of production process monitoring is necessary, and to judge the stability of the process flow is one of the important problems concerned with production department. However, the raw data from the physical world has high level of uncertainty because of the inherent inaccuracy of sensor readings, bringing greater difficulties to judge the stability of the process flow. The probability of the event model is defined and the probability event detection method used based on finite automata with buffer uncertainty (NFA with run buffer, rNFA), and a method combined with the runs test and the grey system model and the bootstrap experience prediction is put forward to make quantitative checking of the stability of the process flow. Experimental results show that the proposed method can effectively detect probability event flow state of the global production.

Due to superior performance of the wavelet scattering network, it is rapidly and widely used in the fields of image and audio. This new type of network structure is used to extract the features of the image and combines similarity measurement methods to achieve the application of this feature extraction in image retrieval. In addition, the eigenvalues obtained by the wavelet scattering network are taken as its new features, taking the mean value and the variance as the new features, so as to realize the dimensionality reduction of large-scale image retrieval. Finally, the experimental algorithm is used to verify the feasibility and superiority of the above dimensionality reduction method.

In order to develop novel single phase phosphors for warm white LEDs with superior stability, easy synthesis, strong absorption in near ultraviolet matching blue chip and high luminescence efficiency, novel single phase Sr₂V₂O₇(SVO):Ln(Ln=Eu³⁺, Dy³⁺, Sm³⁺, Tb³⁺) phosphors for white LEDs were prepared by the high-temperature solid-state reaction method under air atmosphere. The crystal structures,photoluminescence (PL) properties and energy transfer between the host and rare earth ions were investigated by X-ray diffraction (XRD) patterns and luminescence spectra. SVO phosphor is a novel phosphor for near ultraviolet white LEDs, emitting intense and broad yellow-greenish light upon the 350 nm excitation. It is concluded from the photoluminescence spectra that all samples doped with rare earth ion exhibited a broad near ultraviolet band due to charge transfer transition of the SVO host, indicating that there were energy transfers from the host SVO to Eu³⁺, Dy³⁺, Sm³⁺, Tb³⁺ ions, respectively. Furthermore, the energy transfers from VO₄^3- to rare earth ions occurred mainly via dipole-dipole interactions according to Dexter's theory. The results shows that through doping rare-earth ions into SVO host,the luminescent intensity was enhanced, the CIE coordinates were adjusted and the correlated color temperature were reduced, demonstrating that phosphors SVO:Ln (Ln=Eu³⁺, Dy³⁺, Sm³⁺, Tb³⁺) phosphors are promising single phase converting phosphors for white LEDs with near UV chips.

The phosphors LiY(MoO₄)₂:Yb³⁺/Er³⁺ with remarkable up-conversion emission character were synthesized by means of high-temperature solid state reaction method. Experiments were carried out to determine the crystal structure, up-conversion emission optical properties and temperature sensing of the phosphors. Under 980 nm laser, the LiY(MoO₄)₂:Yb³⁺/Er³⁺ exhibits an intensive green emission bands which can be assigned to ²H_11/2/⁴S_3/2→⁴I_15/2 transitions. The temperature sensing properties were studied by measuring the fluorescence intensity ratio of the ²H_11/2(1) and ⁴S_3/2(1) emitting energy levels in the temperature range from 298 to 513 K. The maximum relative sensitivity was 1.785% K^-1 at 298 K and the maximum absolute sensitivity reach to 263.20×10^-4 K^-1 at 473 K, and the calculated energy gap ΔE between ²H_11/2(1) and ⁴S_3/2(1) levels was 756.71±27.48 cm^-1, suggesting that the present phosphor is a suitable candidate for optical temperature sensors.

A star-shaped polymer adamantane-[poly(ε-caprolactone)-b-poly(2-(diethylamino)ethyl methacrylate)-b-poly(poly(ethylene glycol) methyl ether methacrylate)]₄ (Ad-(PCL-b-PDEAEMA-b-PPEGMA)₄) and its pH-responsive self-assembled polymeric micelles were developed for adriamycin (DOX) delivery. This star-shaped polymer was synthesized via ring-opening polymerization (ROP) and activators regenerated by electron transfer atom transfer radical polymerization (ARGET ATRP), and characterized by ¹H NMR spectroscopy, gel permeation chromatograph (GPC), fluorescence spectra and dynamic light scattering (DLS). The resulting polymer had a definite structure with a narrow molecular weight distribution (PDI<1.3); the critical micelle concentration (CMC) of the polymer was very low (3.4 mg/L), which indicated that the polymeric micelles would keep stable in blood circulation system; resulting from the protonation of the tertiary amine group of PDEAEMA, the release performance of micelles at pH=5.0 were rapider than that at pH=7.4 and pH=6.8. The results shows that pH-responsive Ad-(PCL-b-PDEAEMA-b-PPEGMA)₄ micelles could be a potential carrier for targeted delivery of anti-cancer drugs with controlled and sustained release behavior.

In order to improve the fuel economy of the engine, the influence of tumble ratio on fuel economy is verified by partial load test; the accuracy of three-dimensional steady calculation model and the relationship between flow coefficient and tumble ratio is verified by ports steady test. The geometric parameters of affecting ports flow characteristics are analyzed based on CFD(Computation Fluid Dynamics), fitting out an approximate model with the Optimal Latin hypercube sampling and response surface method (RSM). Optimizing the tilt Angle and throat Angle via the Elitist Nondominated Sorting Genetic Algorithm (NSGA-Ⅱ), it confirms the optimized design scheme by comparing the flow coefficient and tumble ratio. The result shows that the optimized inlet model can improve the tumble ratio on the premise that the flow coefficient is constant, which can eventually get the optimal design result of improving the tumble ratio.

Low impact development is taking the design idea of natural hydrology, source control and decentralized management as the core, which is more in line with the strategy of rainwater management for the sponge city construction. Urban storm simulation which contains LID modeling is one of the key technologies for the rainwater system construction of the sponge city. However, at the present stage, the research of the LID model setting and parameter analysis is very limited. By sorting and analyzing the LID simulation publishing in the mainstream literature and journals in recent years, six common LID models were selected for module analysis and parameter collection, aiming to provide data support for LID simulation in different regions through systematic survey and review. Finally, two kinds of related LID measures (green roof and permeable pavement) were selected, and the establishment of LID model, rainwater control simulation and effectiveness evaluation were realized in the research area.

In order to confirm the curing status of thermal insulating coating under the different environmental factors, a series of raw materials were selected to prepare thermal insulating coating with radiation reflective property. The curing time and surface status of thermal insulating coating were studied by using the equipment releasing solar radiation. The influence of humility on the curing time was studied through using facility of constant temperature and humility. The law of wind speed effect on curing time was analyzed by tester of wind controlling. The microstructures of thermal insulating coating under different factors were represented and the curing mechanisms under different environmental factors analyzed, which lay a solid base for the good application of thermal insulating coating in road pavement.