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Based on spatial vector auto-regression model, this paper analyses the spatial and temporal diffusion of urban house prices in East China and examines the impact of price fluctuation of Shanghai and Hangzhou. The results shows that assuming Shanghai as the price diffusion center city, more than half...

With the growing development of electronic commerce, the business behavior of many traditional had better play in the Internet. Products transaction market can be said to be a typical example. Compared with the traditional trading model, online operation of commodities trading is more convenient, real-time,...

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...

Phonics exerts considerable influence on contemporary language education and the most of the society begin to pay attention to phonics and actively participate in this educational reform. It has been aruged that phonics instruction for the primary school students may be supported and underpined by the...

AdaBoost is an ensemble method to construct a strong classifier with linear combination of base classifiers, which has been applied to relevance vector machine (RVM) for performance improvement. However, the combination of the RVM and AdaBoost can be overfitting in dealing with the noisy data sets because...

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...

This paper aims to analyze the effect of open community system on road traffic. Based on the evaluation index system of the impact of community opening on road traffic, a space-time dynamic analysis model of vehicle traffic capacity is established to describe the urban road traffic situation. Firstly,...

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...

As an important means of communication, Morse has a wide range of applications in life such as medical treatment, radio broadcasts and so on. However, there has been no systematic method for automatic recognition of Morse codes. This paper designs a Morse code automatic recognition system that combines...

China Camellia fruit shell to mechanical machine has not been popular, especially in rural areas, this paper designs a kind of advanced and applicable Camellia fruit shell device, used to make more efficient fruit tea, Camellia fruit hulling machine, which comprises a shell, a cutting mechanism, tie...

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 this paper, a sliding mode observer (SMO) based on PLL and rotary coordinate is designed for sensorless control of permanent magnet synchronous motors (PMSM). By the proposed SMO algorithm, the control system has a better dynamic performance?And the rotor speed error, the estimated speed, the rotor...

This paper mainly studies the effects of monthly production of iron and steel in eight cities in Hebei on the air quality of Beijing and Tianjin. First, this paper uses 10 cities to study whether iron and steel production has an impact on air quality, and the conclusion is that iron and steel production...

To explore the application of virtual experiment in physics teaching, the virtual reality constructivism, hybrid learning theory, interaction theory and the used techniques were analyzed. Then, the whole process of virtual experiment system from the design to the realization was explained in detail,...

Temperature and humidity automatic control system is widely applied in various fields more and more gets the welcome of people, because it can greatly reduce the human resources, and it has the characteristics of highly efficient and accurate. the temperature and humidity automatic control system based...

Customized bus, a new-type traveling mode in China, now has become the first choice for part of city residents due to its quality services. However, customized bus in China is still at the initial stage of exploration. Its route design and vehicle scheduling have not yet formed a unified methodology....

Indoor positioning is becoming a very popular research direction in recent years. In this paper, we realize real-time trajectory calculation through the fusion of inertial and vision. We have two experiments in different environments and we find that the algorithm's error is below 50% of pure inertial...

As millimeter wave (MMW) electronic technologies have matured, MMW receiver research is also in the rapid development which includes front-end and frequency synthesizer. They all needed isolation between RF and DC bias. The good design bias T which can realize high isolation between DC bias source port...

This paper introduces fault diagnosis method and its mathematical descriptionthe of fuzzy Petri nets, including the basic concept and rule representation. On the basis of the original fuzzy Petri net reasoning decision, the transition threshold judgment is proposed. This paper presents a fault diagnosis...

For fermentation process large time delay, nonlinear and distributed parameter and disturbance, to combine neural networks and fuzzy control, neural network has the ability to learn, to modify control rules, the proposed neural network controller, realize online monitoring of biomass in the fermentation...

Relevance vector machine (RVM), a sparse Bayesian kernel method in machine learning, has been well-known for its sparsity and probabilistic predictions. Like other kernel methods, it use the kernel functions to map the input instances into higher dimensional space for problem simplicity. At present,...

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...

OCR makes it possible for the user to edit or search the document’s contents. In this paper we describe a special water fill technique for detecting the upside down text document. Each character has a upside and downside filling capacities. A character may have two sides or one side filling capacity...

Predicting fatigue life of composite materials is essential to increase reliability of manufacturing systems. The predicting techniques for fatigue life of composite materials are not widely investigated. The support vector regression (SVR) is an emerging forecasting technique and has been applied in...

This paper proposes a class of nonlinear stochastic volatility (SV) models based on the Box-Cox transformation. The proposed class encompasses many parametric SV models that have appeared in the literature, including the well known lognormal SV model, and has an advantage in the ease with which different...

Due to the rapid grow up of transaction volume of derivatives in the financial market, the Black-Scholes options pricing model (BSM) is played an important role recently and widely applied in various options contract. However, this theoretical model limited by the influences of many unexpected real world...

This paper presents a framework and tools for modeling and simulating societies as complex systems. Although the concept of the complex systems has been highly demanded in social sciences, there is no satisfactory scheme for modeling and simulating it. In this paper, we propose the model framework, which...

This paper extends the dynamic programming, utility maximization model proposed by Wang (2004) to value an investment opportunity whose income streams follows a regime-switching process in incomplete markets. Specifically, the model is applied to solve for certainty equivalent of an investment opportunity...

The significant jump in world crude oil price over the past year has raised great concern over the economic impact that such a price shock may bring about on Taiwan’s economy, which has been characterized by extremely high import-oil dependence. Previous analyses have been tackling similar issue from...

In 2005, Sun, Hsieh, and Hwang proposed two secure e-mail protocols with perfect forward secrecy. In the first protocol, the authors apply smart card and Diffie-Hellman key agreement scheme to achieve the perfect forward secrecy. However, due to it requires a smart card to store some parameters, it is...

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...

A novel hybrid C+L band EDFA/RFA is designed to share the 1480 nm pump laser(s). The concepts are based on three-level amplification mechanism for the C band EDFA and Raman shift amplification mechanism for the L band RFA, respectively. It has the advantage to simplify the pump source design. The optimum...

We report the investigation of ring cavity tunable laser, which is based on FBG technology. The laser linewidth, power variation and tuning range are 0.015 nm, 0.5 dB and 31.0 nm, respectively. The ring-cavity tunable laser also has 60 dB of SMSR to insure high-quality operation. With the features mentioned...

Security Exchange Commission in Taiwan requires all public companies to file and announce their monthly sales figure by the of the following month. This requirement has established another channel for market investors to obtain additional accounting information on a more timely basis than quarterly or...

In the security infrastructure, intrusion detection has become an indispensable defense line in face of increasing vulnerabilities exposed in today’s computing systems and Internet. In this paper, our approach uses ontologies as a way of grasping the knowledge of a domain, expressing the intrusion detection...

String matching of a large string collection on mobile devices has been a difficult problem because of the memory space and computing speed constraints. We propose a method to efficiently determine whether a query string exists in the large string collection. The proposed method, based on a string encoder...

This study attempts to find the possibility of making relatively higher profit with lower risk when trading futures commodities. The system applies XCS classifiers to explore the rules of spread trading of these commodities. Our simulation holds a trading strategy that in every transaction, the proposed...

We provide a framework for learning risk-neutral measures (Martingale measures) for pricing options from high frequency financial data. In a simple geometric Brownian motion model, a price volatility, a fixed interest rate and a no-arbitrage condition suffice to determine a unique risk-neutral measure....

As everyone knows, multiple regression analysis is an important approach to prediction studies. However, regression model has some limitations and constraints in the real world practices. This study applied fuzzy regression using neural network (FRNN) to predict organizational performance, and the findings...

GARCH model has a long history and permeates the modern financial theory. Most researchers use several thousands of financial data and maximum likelihood to estimate the coefficients of model. Statistically, more samples imply better estimation but are hard to obtain. How many samples are sufficient...

Information technology (IT) has been extensively adopted in banking industries. The reasons for this massive adoption of IT are mainly twofold: for individual banks, IT can reduce banks’ operational costs (the cost advantage), and facilitate transactions among customers within the same network (the network...

The medical care industry has been dramatically developed in the last two decades in Taiwan and it has resulted in an extremely risky position. The purpose of the research was the development of a neural network model to recognize profitable customers for dental services marketing. Data set was built...

A finger finding procedure has been presented to recognize the finger number of the hand gesture. The hand gesture is extracted from the stationary background and transformed into a binary image. The hue attribute, that is, the I value in the YIQ color space is used to extract the hand gesture shape....

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...

The purpose of this research is to use the visual inspection technique for the automatic tool wear measurement of different coated drills. The tool wear images with the different coated drilling are captured using a machine vision system incorporating with an effective vertex detection algorithm based...

Due to the flood of pornographic web sites on the internet, content-based web filtering has become an important technique to detect and filter inappropriate information on the web. This is because pornographic web sites contain many sexually oriented texts, images, and other information that can be helpful...

Once the input values are given, the active rules in a fuzzy inference execution have been determined. Based on the observation, our approach is to identify the active rules before fuzzy inference execution. To achieve this goal, our architecture provides the following two mechanisms: (1) a mechanism...

The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit its ability in search, in this paper, we propose an SOM-based search algorithm (SOMS) for dynamic systems, in which the SOM is employed...