There is an urgent need for efficient manufacturing solutions to be successful in increasing mass individualization demands. Under the tendency of personalization and servitization, social manufacturing has been proposed as a mass individualization paradigm is proposed. Since the centralized management platform can not meet the self-organizing demands among prosumers' community, which is usually oriented by emerging open architecture and open source product under social manufacturing context, a community construction model based on blockchain technique and its related computing paradigm. The configuration and operation methods of blockchain for community are presented, including the decentralized consensus algorithm, smart contract, multi-form typology and dynamic evolution of prosumers' relationship. A demonstrative prototype decentralized application developed based on Ethereum blockchain programming language is presented to validate the proposed model. The goal is to reduce the complexities of mass individualization in the dynamic production flows management, and improve the social characteristic and flexibility of work-in-process for individualized manufacturing demands.

The convergence condition of value-iteration based adaptive dynamic programming which is applied to discrete time nonlinear non-affine system is studied. Convergence of value-iteration based adaptive dynamic programming is proven. The proof shows that value iteration will converge to the optimal when the initial iterative performance index function is a positive semi-definite function.

Indoor localization methods of simple structure are hard to construct a complex indoor signal model, which leads to a poor position result. To solve this problem, a RFB-SDAE algorithm is proposed. The algorithm uses a deep learning structure to establish a deep nonlinear learning model to improve the indoor position accuracy. It removes the redundant information from fingerprint acquisition by the method of simplification and preprocessing. Via the pertaining and parameter adjustment of the networks of stacked denoising auto encoder, it acquires a more exact indoor wireless signal model which is used for indoor localization. The experimental result shows that, compared with stacked denoising auto encoder (SDAE) and single neural network, the RFB-SDAE has improved its accuracy and shortened its execution time.

A hybrid optimization algorithm combining differential evolution and particle swarm optimization is proposed to solve the non-convex programming problem of nonlinear optimal multi-peak of power system optimal power flow. By using the two-species evolutionary strategy, the particle swarm optimization algorithm and the differential evolution algorithm are used to optimize iterations. The information sharing mechanism is used to co-evolve the two populations in the process of optimization. An aging mechanism and a mechanism of elite selection are proposed to dynamically change the lifetime of the particle according to its guiding ability. In the case of lack of bootstrap capability, a polynomial mutation strategy is adopted to produce a competitor to compete with the optimal particle, so that the global optimization ability of the algorithm is enhanced. Simulation results show that the algorithm has high convergence speed and high precision, and it is effective and feasible.

With the urbanization extending at a high speed, the sustainable development of cities becomes a significant agenda for government policy makers. In order to effectively develop the strategy of smart growth, an evaluation model is proposed. First, principle component analysis (PCA) is applied to quantify the level of smart growth. Then, support vector regression (SVR) is employed to predict annual variation tendency of each indicator of smart growth. Finally, the total scores of smart growth are calculated for selecting an optimal solution to smart growth. The experiment results show that the proposed evaluation model can accurately measure the level of smart growth and predict the situation of smart growth in the future, which provides a comprehensive decision guidance for rational and healthy development of cities.

In the framework of the Cournot model, a study is conducted on the choice of technology receivers and the optimal technology authorization when the university transfers technology to two enterprises with different technical levels. The research shows that:(1) if the fixed fee mode is adopted, the technology transfer from the university to the high-tech enterprise is more beneficial. In the royalty fee and double charging mode, the choice of the object of technology transfer is diverse:maybe it will transfer to the high R & D investment enterprise, and also to the two companies at the same time. The optimal technical authorization of colleges and universities is mainly determined by the technical stock of enterprises receiving technology, the R & D investment of enterprises and the technology transfer level of universities.

A mobile robot monocular visual odometry based on feature-based method and direct method is proposed. The Shi-Tomasi detector algorithm is used to improve the stability of feature points extracted by FAST algorithm, and the quadtree algorithm is used to ensure uniform distribution of feature points, which may be beneficial to using pyramid KLT algorithm to track these feature points of the next frame image. And then the relative pose of camera is recovered by the homography matrix that is computed by the normalized direct linear transformation algorithm. Finally, the photometric error between image patches is minimized to estimate the movement pose of the mobile robot and the optimization framework g2o is used to optimize local continuous position and orientation information that can improve the robustness of motion estimation. The proposed monocular visual odometry is tested on the TurtleBot platform in indoor room and the KITTI dataset. The experimental results have verified the effectiveness and practicability of the proposed approach.

Evaluation of urban land use comprehensive benefit and diagnosis of its obstacle indicators would be greatly helpful for sustainable land use. A concept of urban land use comprehensive benefit is introduced and a theoretical model established to assess the land comprehensive benefit. The evaluation index system is built with the indices of economic benefits, social benefits and environmental benefits, with TOPSIS method and obstacle degree model used. Results show (1) that the degree of land comprehensive benefit generally experiences four development processes from low performance, medium, good to superior and (2) that the obstacle degree of land economic benefits is maximum, such as average revenue (C2), and the average social commodity sales (C9). After 2012, the obstacle degree of social benefits and environmental benefits of land was maximum; and (3) that in the long run, the effect of social benefit and ecological environment benefit on land comprehensive benefit is increasing continuously.

Denoising in wavelet analysis sets the threshold to eliminate the wavelet coefficients of the noise, which filters some useful speech signals and reduces voice quality. In order to resolve the problem, a new speech denoising method based on Wiener filter and wavelet analysis is proposed. According to the characteristic of the least mean square error of the Wiener filter, the method filters out most of the noise signal, and then denoises it by the wavelet analysis. Experiments is carried out in simulation, and the results reveal that the method is more improved than wavelet analysis in terms of signal-to-noise ratio (SNR) and speech quality.

Giving a digital text T and a number of text paragraphs P, and then finding in T all the same order with P-related sub-string is called the digital order preserving and matching. Digital order-matching is the focus of research on similarity and prediction trend, widely used in stock forecast, fund trend and weather forecast. Aiming at the efficiency of preserving and matching algorithm in digital matching, a character matching method based on binary coding has been proposed. Firstly, the binary characters are preprocessed before the order matching. Then the four main algorithms are used to achieve the order-preserving and matching, and the matching time and complexity are compared and analyzed. The experimental results show that the proposed method effectively improves the efficiency of digital character matching while maintaining a low time complexity.

To solve XY-YX routing algorithm's problem of choosing a single key path, liable to fall into hot spot region and cannot adapt to high speed network data transmission, a modified XY-YX routing algorithm with dead-lock free XY-YX routing is set up. The modified algorithm can release the burden of link circuit. What's more, in order to adapt to the modified algorithm, a dead-lock free route is put forward to avoid the dead-lock. Simulation result shows that the modified routing algorithm, experimented on dead-lock free route, can keep lower level latency and achieve higher network throughput than XY routing algorithm and XY-YX routing algorithm.

A fireworks algorithm based on dual population is proposed to solve optimization problems. A dual population strategy is used to amend the shortcomings, i.e. slow convergence and bad population diversity of the existing fireworks algorithms. Each of two populations is running independently. Meanwhile, they alternately perform the hill-climbing and collaborative operator during the evolution process. Therein, the hill-climbing operator can enhance the local search performance of the proposed algorithm. And the collaborative operator is utilized to maintain the population diversity, avoiding getting stuck in local optimal regions. Furthermore, the proposed algorithm improves the setting of the maximum amplitude of the explosion and uses the tournament selection strategy to improve the convergence rate. The experimental results indicate that the proposed algorithm is superior to the compared algorithms in terms of the stabilization and reliability for most of test problems. It has higher accuracy lever and faster convergence rate.

Based on China National Knowledge Infrastructure (CNKI), 987 articles with the keyword "mobile commerce" are retrieved, and using the method of bibliometrics, social network analysis, and key words co-occurrence methods, in combination with Citespace, Ucinet, Netdraw tools, hot spots and trends in mobile commerce research from 2000~2015 in China, such as research focus and research direction from the perspective of the high-frequency group, keyword co-occurrence, the time evolution of keywords and so on, are revealed. The results shows that mobile e-commerce technology research mainly focus on the development of mobile payment. The application of mobile e-commerce mainly concerns its industrial chain and business model innovation. Moreover, enterprise application and information security are also research hot spots. At the same time, the application of mobile e-commerce is also constantly expanding toward the network community and location-based services and other emerging models.

Zinc pollution sludge in Nansha (Guangzhou) was solidified and stabilized by the lime and cement. The mechanical property of solidified soil and zinc ions leaching rate were studied respectively through the unconfined compressive strength test and leaching test. The relationship of the unconfined compressive strength with the changes of lime dosage and the age has been obtained, meanwhile the relationship of the lime dosage and zinc ions leaching quantity also derived. The solidified soil samples with different ratio of composition are observed that they have different microstructure characteristics by the electronic microscope. Research shows that the strength of solidified soil has significant increase with the increasing of age and the amount of lime, and the zinc ions leaching concentration has greatly reduced. What's more, zinc ions leaching rate in the zinc pollution soil was to zero with the 15% cement+10% lime repair below 3 000 mg/kg. In conclusion, H2 (15% cement+10% lime) has better effect in curing and repairing, which is associated with the microstructure of hydration products of solidified soil.

The mechanism for the reduction of Prop-1-ene-1,3-sultone (PES) on anode of lithium ion battery is understood by theoretical calculation at the B3LYP/6-311++G (d, p) level of density functional theory with the polarized continuum models (PCM). It is found that PES in solvent is reduced prior to PC to form PES+e by the obtained frontier molecular orbital energy and electron affinity. The structure of PES+e is unstable, and prone to a spontaneous rearrangement to form PES-1 or PES-2 by the breaking of C1-O2 or O2-S7. The transition state (TS) is optimized and confirmed by vibrational frequency analysis and intrinsic reaction coordinate (IRC) method. The bond orders and atomic charge distribution of the stable points along the minimum energy path (MEP) are analyzed using the natural bond orbital (NBO) method at the B3LYP/6-311++G (d, p) level of DFT. The negative charge is mostly distribution on -SO2 group in PES+e, based on the structures, bond order and Charge distribution analyses, and it is known that PES+e experiences the breaking of C1-O2 or O2-S7 to form a stable open cyclic anion radical (PES-1 or PES-2).

A color-tunable phosphor based on Tb³⁺ doped GdNbO₄ were synthesized by a traditional solid-state reaction method. X-ray powder diffraction (XRD), diffused reflectance spectra, photoluminescence spectra and decay curves were utilized to characterize the as-prepared phosphors. The GdNbO₄ host was proved to be a self-activated phosphor with broad absorption range from 200 to 325 nm. When Tb³⁺ ions were doped into the host lattice, the energy transfer from host to Tb³⁺ was identified. And the broad absorption in the UV region was changed and enhanced. Furthermore, the electric dipole-dipole interaction is the major mechanism for the concentration quenching.

Selective oxidation of toluene to benzoic acid is an important reaction in small molecular organic chemical, which is a most efficient method for increasing addition value of cheap aromatic hydrocarbon. In four different temperatures, some reactants with same proportion are taken as the raw material, investigating the effect of temperature on catalyst forming. The selective catalytic oxidation of benzoic acid and toluene in liquid phase as the probe reaction, and obtaining manganese oxides are characterized by XRD, SEM, BET, H₂-TPR. According to results of characterization, the reasons of difference catalytic performance have been resolved. In reflux reaction system with mild reaction conditions, finally, the manganese oxides by 80℃ synthesizing obtain good catalytic performance and excellent selectivity of target product. It is shown that the toluene conversion is 44.67% and selectivity of benzoic acid is 79.18% in optimal reaction conditions.