Intelligent obstacle recognition is the essential technology of the self-driving car, which has been a popular research so far. Based on the basic theory and method of Extenics, a research is carried out by using the extension recognition method, to solve contradictory problems. The general procedure of extension recognition method is provided, combining qualitative analysis with quantitative calculation. This method is applied on obstacle recognition of the self-driving car and a strategy obtained that conform to the recognition requirements. The case analysis proves the feasibility of this method. In the meantime, this method offers a research idea for the development of extension recognition system and has a broad application prospect.

This research is conducted through a sequence of processes investigating the local situation, excavating the pain points, integrating data, establishing elementary models, analyzing methods, altering the features, choosing the suitable scheme, and exploring the industrial chain. By adopting the extension innovation methods and the strategy of the relative comparison and evaluation approach, to solve the inconvenience of eating vinegar outside Shanxi, a portable vinegar package is designed, which is then optimized into a seasoning pack, simplified so as to prevent the vinegar from coming out.

The Big Bang-Big Crunch (BB-BC) algorithm is based on the big bang and big contraction theory of the universe. With the increase of number of iterations in optimizing of high dimensional functions, the candidates shrink slowly, worsen in quality and weaken rapidly in diversity, as well as sink into a local optimal solution. In light of these features, an improved hybrid BB-BC algorithm (HBB-BC) is proposed. This algorithm puts the center of mass into contemporary candidates computing as a singular point solution to increase the speed of contraction and improves the candidates’ quality and enhances its diversity by mean of Particle Swarm optimization (PSO). At last, Big Rip theory is introduced to increase the diversity of the big bang phase solutions and the ability to jump out of local optimal solution. The experimental results tested by 9 new benchmark test functions indicate that the improved algorithm performs better than the BB-BC and Uniform Big Bang-Chaotic Big Crunch (UBB-CBC) on optimization of high dimensional functions.

Due to the scheduling inefficiency in a large number of job requests for the network operation and maintenance of field operations and the jobs being unable to change adjustment issue, an on-site job scheduling algorithm based on improved genetic algorithm for network operation and maintenance is established. The algorithm is based on job-indirect encoding resources, combined with network operation and maintenance of on-site job resource scheduling features, by setting the upper limit of the number of jobs for each maintenance personnel to avoid excessive burden on maintenance staff, thus helping to improve the quality of service and resource utilization. The simulation results show that the use of genetic algorithms is effective in solving the network operation and maintenance resource scheduling.

While cloud computing provides high efficiency calculation and massive storage for workflow application, it also brings challenges to the protection of private data such as trade secrets. Because protecting private data will result in an increase in data transmission time, a new data distribution algorithm based on data collaboration failure degree is proposed to improve the existing data allocation strategies. Relying on private cloud safety and public cloud computer capacity in the initial stage, the non-privacy data is divided by the static allocation method to improve the initial data, and in the running stage, the generated data is constantly adjusted to get the data distribution plan. Experiments show that the improved method is effective in reducing the data transmission time.

An improved potential field grid method is presented in this paper to solve the problems of general artificial potential field method including the trap situation, no path existing among adjacent obstacles and not up to the object near the obstacle. With the full coverage path planning algorithm of cattle farming, a global optimal sweep path of the robot in the known environment model is given. By combining the laser radar and the potential field force, it has the ability to avoid dynamic collision. The verifying experiment indicates that the algorithm has practical value. It can make cleaning robot in a shorter path traversal environment and enhance the obstacle avoidance capability, improve safety and efficiency of cleaning robot.

A class of Nash differential games of continuoustime singular stochastic affine systems with multiple decision makers is investigated. After establishing some concepts of the stability for stochastic singular systems, the condition of the stability is presented by means of a linear matrix inequality. Then, by utilizing Riccati equation approach, the existence conditions of equilibrium strategy set in finite horizon and infinite horizon are obtained by means of a set of cross coupled differential Riccati equations or a set of cross coupled algebraic Riccati equations, respectively. And explicit expressions of the optimal feedback controls and optimal cost function are given. In the end, the obtained results are used to deal with the stochastic H₂/H_∞ control problem in the fields of modern robust control theory, and the existence conditions of robust control strategies and explicit expressions are obtained.

Aiming at designing and verifying a manufacturing automatic line or cell quickly, a customized design method integrated simulation platform is proposed. Based on a 3D simulation software Demo3D, a design platform of customized automatic line is developed. The platform performs an optimization process by iteratively adjusting the simulation model’s configuration and the execution engine’s algorithm structure. Such an approach enables rapid customized production lines or cells, shortens design and development cycles, and reduces design and verification costs.

Considering the radial heavy duty tire 295/80R22.5 as the research objective, a finite element analysis model is established. The volume change behavior of pattern grooves in the contact zone is realized by simulating the tire rolling process with software ABAQUS, which is used as the boundary condition of tire pumping noise analysis. On this basis, the flow field characteristics in the pattern grooves is analyzed by using computational fluid dynamics (CFD) method, and the FW-H equation is applied to calculating the pumping noise, with the sound source location of tire pumping noise confirmed by using LMS acoustic software. Results show that the tire pumping noise is mainly caused by surface fluctuation pressure, and the dipole sound source is the domination in low Mach numbers. On this basis, low noise pattern structure is put forwarded，which significantly reduces noise reaching a low of 1.73 dB. The result shows that the relationship is obvious between pattern surface fluctuation pressure and tire pumping noise.

The Al-Co, Al-Yb, Yb-Co and Al-Yb-Co multiple doping are respectively used. By controlling the amount of sodium carbonate, the α-Ni(OH)₂ is prepared by ultrasonic-assisted precipitation. And the influence of sodium carbonate on the crystalline phase and structure stability for alpha nickel hydroxide is studied. The results demonstrate that with the amount increasing, the bi-phase nickel hydroxide gradually transforms to pure alpha nickel hydroxideand, the structural stability is also improved. For Al-Yb-Co-Ni(OH)₂, when the amount of sodium carbonate is 2.0 g, the sample still keeps α-Ni(OH)₂ 30 d after being aged. And when the amount is less than 2.0 g, the phase transformation exists in the samples with different extent. These results demonstrate that the amount of sodium carbonate is a critical factor in maintaining the structural stability of α-Ni(OH)₂.

In order to combine the advantages of magnetic resonance imaging (MRI) with near-infrared fluorescence (NIRF) imaging, a dual-modality contrast agent is prepared based on MRI and NIRF, which could be used for labeling and tracking rat bone mesenchymal stem cells (RBMSCs). Superparamagnetic iron oxide (SPIO) nanocrystals are prepared by Fe(acac)3, 1,2-hexadecanediol, oleic acid, and oleylamine via thermal decomposition method, which posses monodisperse property and uniformly size. Then the contrast agents are used for magnetic resonance imaging (MRI) and near-infrared fluorescence (NIRF) imaging by wrapping the SPIO nanocrystals and IR-780 dye with stearic acidmodified polyethylenimine (stPEI) self-assembly. Transmission electron microscopy (TEM) and dynamic light scattering (DLS) are used to characterize the size and zeta potential, and MRI and IVIS Spectrum System used to characterize the imaging capability. The result shows that the contrast agents are reasonably nano-sized and positively charged. Moreover, the dual-modality contrast agent has showed effective bio and imaging compatibility for labeling and tracking rat bone mesenchymal stem cells (RBMSCs) both in vitro and in vivo.

On the basis of a single-factor experiment, the affecting factors of the amount of NaOH, reaction temperature and molar ratio of raw material for the reaction are chosen. Synthesized for complex of methionine manganese by the raw materials of methionine and manganese sulfate monohydrate, through the response surface center methodology to optimize the reaction conditions: n (methionine)∶n (MnSO₄ ·H₂O) = 2.006∶1 and n (MnSO₄· H₂O)∶n (NaOH) = 1∶2, reaction temperature at 80 ℃, the yield can reach 85.37%, and a quadratic regression equation is established. The composition of the complex is characterized by content analysis, infrared spectra, thermogravimetric and XRD powder diffraction analysis. It is observed that the complex does not contain water of crystallization, and that content analysis of the complex by EDTA complexometric titration and kjeldahl determination obtains the formula of manganese methionine as Mn (C₅H₁₁O₂NS)₂.

Two hot-dip galvanized products are applied onto the steel substrates, then the specimens are tested for 5000h by the neutral salt spray and there are obvious differences in the anti-corrosion performance between the coatings. The thickness loss of coatings, crystal material compositions and microstructures of the coatings are analyzed by Zinc coating thickness loss test method, differential scanning calorimetry (DSC), and X-ray diffraction analysis (XRD). The results show that there is no significant difference of the corrosion products and corrosion mechanisms between two coatings. Nevertheless, the hot-dip galvanized production process, the degree of densification of the corrosion products in coating are the primary factors influencing the anticorrosion performance of the hot-dip galvanized coating.

Heat absorbing and vaporization characteristics of Lithium bromide solution is tested outdoor in evacuated solar collector tubes. The result shows that Lithium bromide solution in vacuum tubes can be heated up rapidly and vaporized continuously and steadily, especially when using a reflector. Equivalent cooling capacity and instant heat collecting efficiency per vacuum tube are 8.9~12.8W and 17.7%~39.0% respectively.

The soil characteristics and bioavailability of heavy metals in the PRD areas are described, and the effects of soil iron, manganese and aluminum oxide minerals on the bioavailability of heavy metals mainly summarized. The results indicate that soil minerals can greatly reduce the migration and transformation of heavy metals in soil-crop system and effectively improve the quality and safety of agricultural products.

In order to explore the influential factors of CO₂ emission and the relationship between various factors, the statistics of total CO₂ emission and the influential factors of CO₂ in the recent years are collected. Meanwhile, the influential factors of CO₂ emission are classified into direct factors and indirect ones. By using Coefficient of Variation Method, Grey theory and Analytic Hierarchy Process (GAHP), the importance and relevance between the CO₂ emission and its various influential factors are analyzed. The results show that the total consumption of natural gas and other energy presents the main direct influential factors for the CO₂ growth, and total fixed asset investment of the whole society and the industry’s GDP are the main indirect influential factors. At the same time, the relationships between CO₂ emission and coal energy and the three major traditional industries in China are closest.