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Along with the arrival of information era, the network is inundated with all kinds of information, and people are facing various kinds of confusion among the mass information, data analysis becomes a relatively hot potato. The proposal of cloud computing is able to well solve this problem and improve...

With the development of era and the innovation of the society, people pay more and more attention to the reform and innovation of the education. The network teaching platform as the new teaching mode of the university. Through analyzing the construction of network teaching platform in the colleges, understand...

Students are misled by the traditional concepts after enrolling university, these make some students face many problems such as no goal of learning, no power, that causes students to face serious consequences that failed in courses and quit, bring serious influence to student management. In order to...

The third Plenary Session of 18th Communist Party of China Central Committee put forward strengthening the leading cadres to strengthen the construction of ecological civilization, promoting the establishment of the responsibility system of responsibility for environmental damage, promoting the development...

Here is the plain truth: students starting English study are becoming younger and younger and starting English as a student in Grade Three in primary school is compulsory according to official document. It is proved that people's language proficiency in their childhood starting a foreign language study...

In order to improve the communication efficiency of the spacecraft in the Proximity space link, a GBN-ARQ scheme is designed based on the proximity-1 protocol. On the basis of this, to maximize the system throughput and normalized throughput, the data frame length and the sliding window length are optimized,...

Firstly, this paper analyzes the advantages and disadvantages of the existing association rules mining algorithm, and gives the method of multidimensional data analysis. In order to remedy the defects, this paper discusses and improves clustering and classification algorithm for constructing intelligent...

PM2.5 pollution is harmful to human health and ecological environment, and effective control of PM2.5 pollution has important practical significance for regional sustainable development. This paper analyzed the impact of land use change on PM2.5 pollution based on Geographic Information System (GIS),...

Undergraduate students should have good moral character and behavior habits, Bohai University had design a quantitative behavior assessment system for undergraduate students. The assessment purpose is to make the undergraduate students to learn to behave, learn to work, learn to cooperate, and learn...

In order to solve the problem of shortage of funds for highway construction and maintenance, Public-Private-Partnership (PPP) has been widely used and the concession period is one of the core issues in the negotiation of the highway PPP project. The system dynamic (SD) method is adopted to model relationship...

In this paper we analyze and propose to the problems of the course of computer science teaching which are based to build the learning platform. We design a hybrid learning model based on computational thinking about computer science in order to achieve the self construction of knowledge truly for students....

With the advent of the information age, the network is filled with all kinds of information and people in the vast amount of information are in the face of all kinds of confusion, thus data analysis has become a more difficult problem. Big data can solve this problem well and can greatly improve the...

At present, the global development trend of higher education in all countries is the development trend of international higher education, and the competition among countries is mainly reflected in the competition of high-level compound talents and comprehensive national strength. In order to adapt to...

Due to the nonlinear relationship between vehicle engine fault characteristics, traditional methods can not accurately describe the correlation characteristics between different features, it is very difficult to achieve accurate diagnosis of vehicle engine fault. In order to improve the accuracy of vehicle...

the state of vehicle engine is influenced by many factors. The changing characteristics are very complex. The current model can not get high accuracy vehicle engine condition monitoring results. In order to improve the monitoring precision of vehicle engine state, a vehicle engine state monitoring model...

In view of the running safety in elevator under earthquake, several damage forms of elevator are presented and its analysis model is set up. Then some earthquake protective measures for elevators are proposed. In order to inspect the seismic behavior of the elevator, the seismic simulated vibration test...

Weak signal detection is a multidisciplinary application of detection methods,which through the use of different methods to study and analyze the statistical properties of signal and noise, and use a variety of signal processing methods to analyze and process the input signal. Weak signals can be detected...

In order to obtain the image information of go, we use the traditional method to process the image, but the traditional method has great limitation. The accuracy is low, and the external factors can easily affect the processing result. In order to solve the limitation of traditional image processing...

The motor is considered as the carrier and driving the precision control of rotation speed of the fuze, which is an effectiveway to simulate the centrifugal environment of the realistic simulation fuze. In order to precisely control the rotation speed of fuze, motor is used as the research object, a...

In order to perfectly integrate the Internet of Things (IOT) and big data, the way how big data influences the construction of an open IOT ecosystem was discussed and the significance of big data for the Internet of Things was set forth. Also, the system framework of an open IOT ecosystem with advanced...

In order to improve the operation safety of road tunnels, a new evaluation method of safety evaluation was proposed. Firstly, the index system was established by comprehensive considering all kinds of traffic safety attribute, including road engineering, traffic safety facility, traffic flow condition...

In order to study the influence of the tail of the fitted sample distribution curve of vehicle load effect on the maximum value distribution in the reference period of vehicle load effect, multi-model normal distribution curve, straight line, parabola, exponential curve and POT model based on Pareto...

In the modern education platform, there are many problems, such as insufficient retrieval accuracy and single retrieval process, this paper conducts an in-depth investigation and analysis of the features of educational videos, combined with the cutting-edge audio transcription technology and text processing...

The link between stock returns and economic growth has been an important research topic in the financial economic literature. The purpose of this study is to employ a threshold vector autoregressive (TVAR) approach in order to investigate the non-linear relationship between stock returns and output growth...

In multimedia cellular network, a Mobile Host (MH) requests multimedia services and may experience handoffs to several cells. When the target cell cannot provide adequate bandwidth for a service, instead of directly dropping a request, the MH is put into the handoff queue and hopefully the request bandwidth...

In this paper, we present a new method for ranking generalized fuzzy numbers for dealing with fuzzy risk analysis problems. The proposed method considers the defuzzified values, the heights and the spreads of generalized fuzzy numbers, simultaneously, for ranking generalized fuzzy numbers. It gets better...

Web service is very important for both e-commerce and e-government. However, web service process based on syntax level can’t deal with some user query very effectively. In order to make user get more information on the internet, semantic web is presented and a lot of related research results have been...

In this paper, we replicate Nelson-Winter model in order to analyze the inter-enterprise competition from the perspective of economic change. For this purpose, we build the simulation model as Multi-Agent-Based Simulation in PlatBox Simulator. By replicating the Nelson-Winter model, which clarifies the...

Most of GA-based portfolio assets allocation uses normalization method to allocate investment asset’s weight. However, the normalization process will cause unease converging and even diverging characteristics, because it changes the gene’s relativity of address in chromosome. In this paper, we propose...

In order to be competitive in the semiconductor manufacturing industry, quality improvement and yield enhancement have received increasing attention. The research focuses on the molding process of Integrated Circuit (IC) assembly. The defects often occurred in molding process include hole, vein, crack,...

we propose a hybrid decision model for supporting the ranking financial status of corporations using case-based reasoning augmented with genetic algorithms and the fuzzy nearest neighbor method. An empirical experimentation on 746 cases was conducted that shows that the average accuracy of the ranking...

The main objective of this study is developing a linguistic cluster model in order to meet the public security index requirement and extract crime rule in time series. In contrast to the current studies in crime theory which mostly rely on traditional behavior science, we turned to a hybrid approach...

As a new general machine-learning tool based on structural risk minimization principle, Support Vector Machines (SVM) has the advantageous characteristic of good generalization. For this reason, the application of SVM in fault diagnosis field has becomes one growing reach focus. In this paper, data fusion...

In this paper we present a novel dense matching algorithm that relies on sparse stereo data in order to build a dense disparity map. The algorithm uses a recursive updating scheme to estimate the dense stereo data using various interpolation techniques. The major problem of classical template matching...

Fuzzy controllers in general are designed using the experts’ knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic...

The forum system is useful for knowledge sharing and help-seeking. However, the existed forums are having the same problem such like nobody to answer the given questions. In order to attack the problem, this study proposes a human-expert oriented forum architecture to perform efficient knowledge sharing....

In this paper, we issue a hybrid system, which is integrated with the fuzzy system and Petri net models. We exploit the characteristics, imprecise or ambiguous information, of fuzzy theory to map the algorithm of crisp inputs and outputs, furthermore, model problems, product a nonlinear function, and...

An image-based fire detection method using neural networks is proposed in this paper. First, flame color features, based on the HSI color model, are trained by a backpropagation neural network for flame recognition. Then, based on the learned flame color features, regions with fire-like colors are roughly...

In this paper, an a-Si:H/a-SiC:H separated absorption and multiplication region superlattice avalanche photodiode (SAM-SAPD) is fabricated successfully by using combined effect of band edge discontinuity and build-in potential in p-n junction. We discuss the relationships among excess noise factor (Fe),...

This paper presents state-of-the-art silicon-based bandstop filters for the realization of microwave system-on-a-chip (SOC) communication systems. The characteristics of the bandstop filters are designed by the adjustment of the geometric dimensions of the filters in order to meet different system requirements....

We are developing an artificial stock market model with investor agents in order to analyze characteristics of a market price. In this paper, we analyze the effects of agent’s reaction rate to technical indicators in a financial market. Intensive experiments have suggested that trend follow investor...

Some approaches such as path indexing, labeling, and numbering scheme have been proposed in order to facilitate query of XML data. The indexes derived by these approaches must be rebuilt if XML data is updated. The method LSDX (Labeling Scheme for Dynamic XML data) can dynamically add new labels without...

In order to reduce the bias of linguistic recognitions among the group decision makings, this study develops “fuzzy multiple preference model” with two stages to better determining the suitable service innovation. A real numerical application in the chain wholesale has also been demonstrated.