According to the problem of structure light measuring for registration, such as the low efficiency of three-dimensional modeling because of overlapping points, a removing redundancy points technology based on multi-epipolar line resolution had been explored out. The traditional method belonged to the...

A routing algorithm based on optimizing for cluster distribution and max-energy detection is put forward, and it is called ECME in this paper. The advantage of the algorithm is that it can save the communication energy effectively in WSNs because the optimal path is selected to send the maximum amount...

This paper addresses the problem of image classification, which has successful applications in many fields, such as image retrieve, object detection and recognition. As a simple nonparametric methods, Naive-Bayes Nearest-Neighbor(NBNN) employs NN distances in the space of the local image descriptors...

Based on the numerical calculation method, a program is designed to solve the field distributions and equipotential lines in a electrostatic immersion objective. Then the characteristics are discussed. Successive approximation method is used to solve the finite difference equation of field distributions...

Enterprises should not only be regarded as the combination of products and services, it also should be the combination of capabilities. Sales staff's capacity and quality directly relate to "lifeline" of an enterprise. The paper focuses on the practical sales work of Beijing Automotive Huansu auto in...

For the deficiency that the traditional single forecast methods could not forecast the states of electronic equipments, a combined forecast method based on hidden Markov model (HMM) and least square support vector machine (LS-SVM) is presented. Multi-agent genetic algorithm (MAGA) is used to estimate...

There were some algorithms for mining global frequent itemsets. Most of them adopted apriori-like algorithm, so that a lot of candidate itemsets were generated. To solve the problems, the algorithm for mining global frequent itemsets based on big data was proposed, namely, MGFI algorithm. MGFI algorithm...

The optimal allocation of resources is of great significance to improve the efficiency and reduce the cost of equipment manufacturing. For the shortage of traditional Hungary algorithm that cannot solve the resource scheduling problem containing the parallel jobs, an improved Hungary algorithm is proposed...

For the modern enterprises, it is significant to develop production according to the market demand, and there is no exception to the auto companies. The article tries to establish a statistical model to predict the number of the truck ownership and provide references for truck manufacturers to make production...

In order to improve the yield of erinacine from H. erinaceus, with pretreatment of enzymatic and acid hydrolysis, then combined with the method of industrial alcohol reflux extraction, significantly the extraction yield of erinacine was improved from 2.4% to 3.2%. In order to optimize extraction process...

As an essential part of rotating machinery, the early fault diagnosis of rolling bearing can improve the safety of mechanical operation. What’s more, the machining accuracy can be effectively ensured. Unfortunately, the early fault signal of rolling bearing is extremely weak, which can be easily covered...

Global Navigation Satellite System is the most important infrastructure to compass the way nowadays and in the future, and the carrier smoothing code method is usually used to improve the accuracy of the position. However, there will be a great influence on satellite navigation and positioning with abnormal...

Warship vibration isolation technology of multilayered wave-attenuation is based on new mechanism. In view of the influence of vibration transfer efficiency, which belongs to statics contains, this paper presents a two-dimensional transfer matrix model in the condition of oblique incidence, and gets...

In order to construct high dynamic range image of high quality, this paper presents a method of constructing response curve for panoramic camera. This method can automatically obtain a small amount of sampling points covered the whole brightness range space of one picture, through grading the range of...

Sensitivity analysis (SA) is an important part in engineering design under the uncertainty to provide valuable information about the probabilistic characteristics of a response. In this paper, the variance-based methods and the cumulative distribution function (CDF)-based sensitivity coefficients were...

In the realization process of multi-ship collision avoidance path planning, it is the foundation for decision-making of collision avoidance opportunity and behavior to accurately and rapidly determine the key collision avoidance target ship and the sequence for the ship to avoid collision with various...

The single letter substitution encryption is the basis of the most widely encryption methods in cryptography. Therefore, it is extremely significant for the development of the cryptography to decipher this kind of encryption efficiently and correctly. Researchers elaborately analyzed the features of...

This paper will discuss estimates for discrete Green’s function of elliptic equations in dimensions seven and up. First, the definitions of some terms are given. Then the estimates for the regularized Green’s function are derived. Finally, by using the triangular inequality, researchers obtain the estimates...

This paper focuses on the pricing of the multi-stock linked SPs with digital option. “Huiying No. 1 of Huaxia Bank” was characterized by multi-asset linked & multi-observation. To reduce the error, it was priced by means of the modified Cholesky decomposition method and Monte Carlo method. The result...

Starting from the regional interaction operation with wind power integration, based on the generalized area forming from interactive operation, the article propose to take the basic unit of system node as the study object. Then analyze the regional interaction operation’s influence on the determination...

This paper particularly describes a Multi-Objective Chromosome-length-variant Genetic Algorithm (MCGA) as an algorithm for finding the most beautiful route of map navigation, compared to the conventional navigation which can only obtain the shortest route. The critical task to this problem is how to...

The cause of education modernity crisis lies in Descartes’s subject-object dual opposite thinking mode, showing that the aim at material gains of education leading to value rationality loss, scientific world hegemony and life marginalization. Besides, the inculcation as well as controlled ability as...

This paper takes the regional financial stability of China as the research object, aims to establish the index system of regional financial stability in China, so as to better understand the regional financial stability.Based on previous studies on the financial stability system and the existing characteristics,...

Researchers propose a clustering algorithm of similarity segmentation based on point sorting to improve the clustering performance. Taking full advantage of segmentation sorting of the clustering algorithm based on minimum spanning tree, the algorithm uses a variety of methods for different situations...

To explore the impact characteristics of filling body on the both sides of stope under the dynamic loads in a deep underground metal mines, based on trock mechanical parameters experiment, dynamic was loaded by measured and de-noised blasting vibration monitoring-curve, response parameters development...

The Maximum Concurrent Flow is a classical mu-lticommodity flow problem and has a extensive applications in the practice such as transportations, communications and network designs. It has important sense not only in theory, but also in practice to develop this kind of multicommodity flow problem. This...

By applying an objective method to evaluate its sustainability, a certain country could make proper plans and policies for further development. However, subjective and complicated problems have been found in the current methods and index systems. Therefore, researchers set up a composite model that it...

During the yaw control, the load characteristics of yaw system are the key issue to influence the safety and reliability of the wind turbine yaw system. In this paper, based on Von Kammon spectal and EDC wind in IEC standard the 5MW wind turbine generator system model is established considering the impact...

As an attempt to solve Permutation Optimisation Problems (POP) by using CLONALG (Clonal Selection Algorithm), a well-established artificial immune system, Traveling Salesman Problem (TSP) is studied as an example in this paper. Operators of CLONALG, especially the hyper-mutation operators are analyzed...

Oxygen doped graphene catalyzing Oxygen Reduction Reaction (ORR) was studied using density functional theory (DFT). The active site of the catalyst was studied, the ORR reaction path was analyzed, and the mechanism was discussed. The results show that similar to N-doped graphene, ORR reaction intermediates...

Based on the owned displacement monitoring data and displacement evolution of landslide, the total displacement can be divided into trend term displacement, which is controlled by its own geological conditions and periodic term displacement affected by external factors. Then the displacement prediction...

The hydrophobicity, chemical composition and microstructure of locust wing are investigated by a video-based contact angle (CA) meter, a Fourier transform infrared spectrometer (FT-IR) and a scanning electron microscope (SEM). A micro-morphological model for hydrophobicity of wing surface is established...

The anisotropism, superhydrophobicity, adhesion, and chemical composition of the insect (Lepidoptera) wing surfaces are investigated by a scanning electron microscope (SEM), a contact angle (CA) meter and a Fourier transform infrared spectrometer (FT-IR). The wetting mechanism of the wing is discussed...

Landslide danger of early warning is to avoid a major means of state personnel and economic losses. In this paper, in order to effectively predict Baishuihe landslide danger instability, combined with the specific engineering practice, this paper first applies the grey theory of landslide displacement...

Maximum Variance Image Segmentation method (Otsu) is a popular non-parametric method in image segmentation. However, it is large amount of computation and poor real-time quality have limited its further application. To solve these problems, a new approach based on an adaptive genetic algorithm (AGA)...

In order to solve disadvantages of the ant colony algorithm in path planning of mobile robot, an enhanced ant colony optimization based on combined optimization is proposed. Improved ant colony algorithm’ idea is selecting the searched full path to combined optimize with the rest of the path when all...

CURD is one type of clustering algorithm based on reference point and density. This algorithm is similar to DBSCAN in processing arbitrary shape clustering ability and has linear time complexity of K-MEANS algorithm. CURD algorithm needs to set Radius and t, so the whole process of clustering needs manual...

Forward kinematics and inverse kinematics are two aspects of the robot kinematics solution, and the optimization of the inverse kinematics of robots is the most important and difficult part of robot kinematics. Parameters for each link of the robot need to be identified according to the position and...

Due to the problem that some key parameters, such as mother liquor supersaturation, mother liquor purity, crystal content and crystal size distribution, cannot be measured on-line during sugar cane crystallization, an improved data-driven soft sensor modeling algorithm based on twin support vector regression...

In order to better instruct airlines to analyze the civil aircraft economy, this paper proposes an wide-body aircraft trip direct operating cost model from the perspective of macroscopic based on statistical analysis of airlines fleet operation cost data. Firstly, the correlation analysis is be used...

As the largest energy consumer, China is facing increasingly great pressure to guarantee energy supply and energy security, which puts higher demand for measuring and improving energy efficiency. DEA model has become a widely accepted method in measuring energy efficiency at the macro-economy level....

This paper investigates acoustic parameters inversion of wind through developing modified inversion model. By spectrum the analysis of 100 segment measured data at different frequencies, the paper obtains the mean spectrum curve in specific sea state, then uses the mean curve to modify existed models...

As an important class of special load-bearing structure, transmission pole affects the security, economy and reliability of transmission lines running directly. With the implementation of domestic major projects in recent years, such as UHV project, smart grid and transformation of rural grid, transmission...

As it is important to attack the targets with terminal angle constraint for a lot of guided weapons, an adaptive sliding mode guidance law is proposed based on the sliding mode variable structure control theory. Considering the problems that the terminal line of sight angle speed changes rapidly and...

This article is a literature review that introduces the status quo of research on the LDA in recent years. The topic model of LDA[1] (Latent Dirichlet Allocation) was proposed by D.M. Blei in 2003, which obtained three Bayesian probability model on the extension of the probability of latent indexing...

To actively promote the deep collaboration and coordinated development between enterprises and universities and research institutes has great importance to building an innovative country. In this paper, on the foundation of the knowledge description of Industry-University-Research Collaborative Innovation,...

A sampling method on the basis of imitation orthogonalization is proposed to ensure the typicality and ergodicity of samples. Considering the characteristics of back titration (BT) during cobalt removal with arsenic salt, such as many influencing factors and strong coupling, kernel principal component...

Equipment support resources are the substantial prerequisites for decision-making in equipment support task. The renewable resources especially the scarce ones are usually limited in quantity. On account of the limited resource units that can be assigned to activities, the project completion time will...

In cloud computing environment, pricing is an effective method for resource allocation and it provides efficient incentive for cloud providers to provide cloud services. In this paper, the author investigates two pricing schemes for the allocation of cloud resources in a monopoly cloud market subject...

In this paper a new natured-inspired algorithm, based on the based on the prevalent mechanism of infectious diseases, was designed for multi-objective optimization. This optimization algorithm derived from the susceptible infected and removed model, mimic the transmission mechanism of infectious diseases,...

School physical education was an important part of the lifelong sports, and there were vital influence of the concept of lifelong sports on the education teaching reform of school physical education. It was the real need of human society on the concept of lifetime sports which was put forward by the...

Objective: With the rapid growing number of published scientific papers in the age of big data, users often find themselves difficult to select useful information from such massive academic information. This paper aims at the problems of collaborative filtering techniques in scientific citation data.Methods:...

The strapdown inertial navigation system is being broadly applied for land vehicle positioning and navigation because of its complete autonomy. To restrain the positioning error accumulation along with time of SINS more effectively and achieve higher precision of navigation, a method of the dual odometers...

The main purpose is to calculate the reliability of high-rise building under wind load. According to the structure of the wind response calculation theory, ANSYS static analysis module and the random vibration analysis module was used to calculate the high-rise building under the action of static wind...

As the main component of intelligent transportation systems, Traffic sign recognition system has been extensively studied in intelligent vehicles, military and unmanned vehicles and other projects. In this paper, firstly, it briefly introduced the traffic sign recognition research status and development...

According to the structural features of partially covered photovoltaic/thermal (PV/T) solar system, the theory model and optimum design method of the partially covered PV/T solar system is established. The effect of different design parameters on the performance of the partially covered PV/T solar system...

It is easy to cause a series of problems such as low work efficiency and production by personal experience judgment to allocate pelagic fishing operating people. To improve the overall efficiency of fishing line, this paper introduces the concept of post competence, and makes methods to improve personnel's...

Nowadays all kinds of constraint solver support the same level of local consistency on all problems. The authors proposed a new adaptive parameterized consistency algorithm which adjusted the level of consistency depending on the depth of their supports in there domain. To this end, the authors gave...

Cascading failure has drawn increasing attention to security problems due to the failure of a part triggers the failure of successive parts and even the entire network. In order to avoid cascading propagation more effectively, based on the local preferential redistribution rule of the failed node’s load,...

Currently Internet of Things has been envisioned as a key technology for smart city, intelligent transportation, and green buildings. Data aggregation is largely applied to sense the data collection in Internet of Things, as it can improve the efficiency of data sensing and forwarding to final sink nodes....

Hyperspectral imagery unmixing model based on sparse regression uses the existing endmembers’ library as priori information. Usually, the existing endmembers’ library contains almost all kinds of ground objects. Even though sparse regression-based imagery unmixing method added sparse constraint to the...

The pyramid construction was formed by different K3PO4 concentrations and texturing time. The pyramid microstructure evolution on monocrystalline silicon surface has been studied. Researchers found that the pyramid is approximately 1.3 m in mean size and almost covered the silicon surface with 6wt% K3PO4...

With the rapid development, Shanghai private technology enterprises’ competition is more and more complicated and they face a lot of problems especially for financing which needs to be further researched and solved. However, until now, there has been lack of research analyzed by questionnaire on financing...

The job shop scheduling problem with different due date windows is researched. A mathematical model is presented with the consideration of uncertain processing time which is presented by triangular fuzzy number. Furthermore, a genetic algorithm is developed to solve this problem. The algorithm generates...

The value of time synchronization between Rubidium clock and GPS clock, which changing with time, was studied by using the time series prediction method. Some issues such as the selection of the smoothing coefficient and the prediction accuracy problem of linear exponential smoothing, secondary exponential...

Cost-sensitive learning is one of the top ten problems in the field of data mining, its target is to produce the least cost in the classification process under the condition of achieve a given classification accuracy. The decision tree is a kind of cost-sensitive classification algorithm. There are many...

Invasion of drilling mud filtrate into a reservoir is related to time after the bed was reached, so that logging-tool response is a function as time. Traditional algorithms of resistivity inversion are based on a simplified step-invasion model that is independent on time, hence it is difficult to obtain...

Due to the owner and contractor's psychology of making a profit, the risks caused by enormous differences between actual payment and budget in electrical engineering indeed exist. However, it has not raised enough attention, and the relevant management of investment risk cannot solve it appropriately....

This paper studies the definition for a Hamiltonian cycle of Jianfang Wang-Tony Lee and Katona-Kierstead in a uniform hypergraph, respectively. In general, the existence of decomposition in 7-cyces remains open. In this paper, researchers use the method of edge-partition and cycle sequence proposed by...

To shorten the response time of EPCIS (Electronic Product Code Information Services) server, this paper proposes the structure of EPCIS based on proxy server and a novel cache replacement algorithm of EPCIS. A queue is built in the proxy server. The object which is more likely to be requested is moved...

A method of organization planning in scientific research task based-on role is presented to content the needs of increasing abilities of task assigning and efficiency of functioning and lessening proportions of recourse deploying. A mode of scientific research organization based-on role is established,...

According to the problem of low solution precision, slow convergence speed and some fireflies failure in the traditional firefly algorithm, an improved firefly optimization algorithm is proposed based on the learning mechanism, By chaotic maps, the Firefly's initial position in which dynamic distance...

Policy iteration is the core procedure for solving problems of reinforcement learning method. Policy iteration evaluates polices by evaluating value functions of these polices and then new improvement polices will be figured out by these value functions. Value functions and polices in classic policy...

Ant Colony Optimization algorithm (ACO) is a viable method for attacking hard combinatorial optimization problems. In this paper, researchers applied adaptive method to the Max-Min ant system (MMAS). In every cycle of the search, researchers can determine the number of elite ants adaptively. In the search...

Arc fault is one of the most important reasons of electrical fires. The common characteristics of series arc faults are always submerged in load currents which are acquired as mixed signals. It is difficult to extract useful arc fault characteristics through conventional approaches. Hence, novel approaches...

On the basis of analyzing the tactical characteristics and the mission requirements of UAV, a route planning model is established, which is composed of a comprehensive threat model, a performance constraint model and a mission effectiveness model. A dual population genetic ant colony algorithm is designed,...

Knowledge checking service is very important for safeguarding the quality of the knowledge in the knowledge repository. There are many knowledge checking services with similar functions but different qualities in organizations, especially in the crossing organizations. It is not easy to measure the non-functional...

Traditional methods such as adaptive tracking-by-detection approaches generate a set of samples and, depending on the type of learner, producing training labels. ,However, it is not clear how to best perform their sample step. Furthermore, the objective for the classifier (label prediction) is not explicitly...

To evaluate the risk system of power communication transmission network (PCTN) scientifically, this paper puts forward an improved k-means clustering algorithm in allusion to the issue of the power device risk value in the PCNT. Both the rating of the device status and the importance of the device determine...

Net photosynthetic rate (PN), transpiration rate (E), stomatal conductance (Cond), intercellular CO2 concentration (Ci), and vapor pressure deficit on the surface (VPD) of Taxus cuspidata leaves set at a series of CO2 concentration were investigated with the LI-COR 6400 portable photosynthesis system....

With the rapidly shifting dynamics of the current market, the companies are seeking a more thorough method to research the preferences of their target market. As such, data mining models of user segmentation are often utilized to fill up the broadcasting and television research areas. This paper proposes...

Currently, understanding the topology structure and function of complex networks has become a hot research topic, and finding the most influential node in a complex network has great significance in marketing, public opinion analysis, disease control and so on. We often use the degree centrality and...

Through establishing the indicator system that reflects the regional scientific and technological innovation capacity, this paper applies the Principal Component Analysis and Cluster Analysis Method to make empirical analysis and comparative analysis on regional scientific and technological innovation...

It has some significance to study the influences of the droplet radius ratios on spray combustion due to the varying droplet radius ratios among droplets in the actual spray combustion. The volume of fluid (VOF) formulation is applied to model the combustion process of two decane droplets with different...

In this paper, the effect of formal finance and informal finance on bank loan defaults of private enterprises are examined by Logistic regression. The results showed that: First, the higher the level of the formal financial development, the lower the default rate of bank loan of the private enterprises...

In order to clarify the oil price’s fluctuation phenomenon in the long term, researchers construct SVAR model with these five factors - aggregate supply of crude oil, economic growth rate of China, American commercial inventory for crude oil, US dollar index, and financial speculation ratio. The result...

Recently, the proportion of distributed generation in the power system is growing with the increasing development and of distributed generation technologies. The application of distributed generation brings many benefits to the grid, such as improving power quality and peak load and helping achieve optimal...

The purpose of this study is to investigate whether different types of earnings management have different effect on the firms future profitability and market value. Using multiple regressions and large sample, this study finds evidence that accrued earnings management is positive related with firms future...

In this paper, one new similarity measure which holds better mathematical description is given and discussed in details. The increment of the amazing measure, which denotes the similarity measure between two count vectors is discussed in this paper and its corresponding properties are also explained....

The modern instruction system based on Wechat is widely used to help improving the course instructing efficiency. By using the interact characters of this education system, students can finish their course by themselves. However, how to estimate the course efficiency become more difficult. The clustering...

In recent years, China’s economy has witnessed great changes in terms of growth rate, structural adjustment and the motive force of development. Therefore, China’ economy has stepped into the new normal. The main change under the new normal is the optimization and upgrading of the economic structure,...