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Traditional sports cultural elites is the elites of the society and the people who have mastered a variety of traditional sports culture. They has contributed to the development of regional economy and the inheritance, protection, innovation, communication of traditional sports. This paper, using the...

With the popularization and development of the Internet and the extensive use of electronic products, Self-media has become an important part of people's lives, profoundly affecting people's way of life and communication. And the current higher vocational students are influenced by the most profound...

In recent years, multi-modal data analysis has enjoyed an increasing attention. Multi-modal data mean the different modal data representing the same semantics. Moreover, many subspace learning methods are proposed to measure the correlation between different modal data. As the most representative subspace...

In today's era is the era of information technology rapid development, with the constant progress of the society, the network technology is in constant development, now the network is essential in our daily life people less a thing. Using the network, at home the whole messy, never leave home can know...

MOOC (Massive Open Online Course), which is a kind of open-access online course that allows for unlimited participation, while (Small Private Online Course) is not only a MOOC supplement, but also the product of MOOC, which is an integration innovation of traditional teaching method. In this paper, we...

This paper is going to study on the insurance marketing of western ethnic areas of china, trying to find out the solutions for its dilemma and analyze the reasons with effective measures. The research methods adopted in this paper mainly include qualitative examination, quantitative examination and comparative...

Colleges and universities have the important responsibility of cultivating all kinds of high quality talents and leaders for the society. At present, many colleges and universities are exploring the different mode and way of Cultivating College Students' leadership. We find that the Students' leadership...

This paper is going to explains the elements of landscape design from the perspectives of rational culture and landscape construction. In addition, it is also going to analyze the existing shortcomings of human landscape plans, including blindly pursuing physical beauty, not taking into account long-term...

Castleman's disease (CD) is a chronic lymphoproliferative disorder characterized by unexplained enlarged lymph nodes. CD of the tracheal is rare, and shows unspecific manifestation with high misdiagnosis rate. Here we reported a case of tracheal CD in a 43-year-old female. Finally, the nodule of the...

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....

We present a new method of investigating the so-called quasilinear strongly-damped wave equations in this paper, we concerned with the Controllability in a steady state for the Quasilinear Wave Equations with weak decay, and we use a so-called energy perturbation method to establish weak controllability...

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,...

In this paper, we have developed an FDS that is a measure of national vulnerability. From the FDS, we can judge whether the fragile state of the country is fragile or vulnerable or stable. We use Fuzzy Analytic Hierarchy Process (FAHP) to construct an evaluation model to evaluate the vulnerability and...

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...

Under the background of the less connection between teachers and students in universities and the rapid development of the Internet, and according to the needs of students and teachers, the topic was to design and develop university research and academic platform prototype based on Android. First of...

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...

It described a control system of 100kV high voltage power supply. It used PC control and monitor the power modules via fiber optic. By testing, proved the control system is a good isolation and provides stability control system. By this way, we can remote control the power modules.

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,...

Last year, a Tokyo-based internet venture firm, Hatena Co., ran a political prediction market that was designed to predict the result of the General Election of the Lower House of the Diet, held on September 11, 2005. The market showed reasonable predictive ability that was comparable with the predictions...

Bank runs are usually happened as such that depositors panic and following the consequence of interaction between depositors withdraw their deposits. It is an issue of debt obligation between bank and depositors and an issue of bank capitals distribution among depositors. We consider the role of information...

In this paper we analyse insurance data using Artificial Neural Networks (ANN)[1]. In particular, we use ANN for the problem of Loss Reserving. Loss reserving is the practice of estimating the future payments for the claims which have occurred on an insurance portfolio. A difficulty in forecasting future...

In this paper, we propose the Fuzzy Scheduling System (FSS) to deal with the dedicated machine constraint. The constraint of having a dedicated machine for photolithography process is the new issue introduced in photolithography machinery due to natural bias. If we randomly schedule the wafer lots to...

This paper examines the volatility dynamics of the greater China stock markets (Shanghai A- and B-shares, Shenzhen A- and B-shares, Taiwan, and Hong Kong) by employing a multivariate (tetravariate) framework that incorporates the features of asymmetries, persistence, and time-varying correlations, which...

In this paper, we propose a method that reduces the cycle time of RFID reader networks by overlapping slots. A mathematical formulation of the problem is specified and an effective heuristic algorithm is developed.

Utilizing the technique of information granule diffusion and fuzzy inference with max-min operation, this paper provides a new model to estimate isoseismal area by earthquake magnitude. The model does not depend on any extra condition but scanty historical earthquake recorders. The technique of information...

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...

In this paper, we present two new methods for evaluating students’ answerscripts using vague values, where the evaluating marks awarded to the questions in the students’ answerscripts are represented by vague values. The vague mark awarded to each question of a student’s answerscript can be regarded...

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...

In large vehicles such as a train, passengers can access Internet through an in-vehicle mobile router to effectively reduce the cost and overhead of roaming to a new network. While we apply the idea of mobile network into large vehicles, the critical issue is how to build up seamless Internet access...

For the overheads of 802.11 WLAN, several frame aggregation mechanisms had been proposed to deal with this shortcoming. Since the rare consideration of QoS in these proposals, we took advantage of 802.11e queueing model to enhance the priority scheduling. This paper approaches to eliminate the decomposition...

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 study develops inter-temporal dynamic asset allocation with stochastic volatility (DAASV) models. The DAASV models integrate the stochastic volatility feature inherent in asset returns into the allocation procedure. By applying the DAASV, an investor can more efficiently diversify the unsystematic...

The convergence of estimators, e.g., maximum likelihood estimators, for increasing sample size is well understood in many cases. However, even when the rate of convergence of the estimator is known, practical application is hampered by the fact, that the estimator cannot always be obtained at tenable...

In this paper, we studied complexity and entropy density of stock market by modeling epsilon-machine of Korean Composition Stock Price Index (KOSPI) from year 1992 to 2003 using causal-state splitting reconstruction (CSSR) algorithm.

The Black-Scholes options pricing model (BSM) is limited by the influences of many unexpected real world phenomena caused due to its six unreasonable assumptions, which often make the miss-pricing result because of the difference of market convention in practical. If we were to soundly take these phenomena...

The prospect theory implies that the inclusion of a gain-lock-in device into the floor of portfolio insurance can benefit the long-term asset management under loss aversion. We find that the relaxation of the multiple of the CPPI from a constant to a dynamic can improve the performance in the short-term....

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...

Object correlations are common semantic patterns in virtual reality systems. They can be exploited for improving the effectiveness of storage caching, prefecthing, data layout, and minimization of query-response times. Unfortunately, this information about object correlations is unavailable at the storage...

Fuzzy distance is applied on data analysis, classification, and production positioning analysis widely. In this paper, We introduction a fuzzy distance by using graded mean integration representation of generalized fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic...

In this paper, we extend research done in max-min fuzzy neural networks in several important ways. We replace max and min operations use in the fuzzy operations by more general t-norms and co-norms, respectively. In addition, instead of the Łukasiewicz equivalence connective used in the network of Reyes-Garcia...

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...

A new optical device for wavelength auto-router was proposed. Such a structure is useful in the integrated-optic for optical operation and data communication. We use the finite-difference beam propagation method to investigate the phenomenon of the proposed numerical model.

Knowledge management (KM) is suggested as a method to manage and apply knowledge for business management. In this paper, we suggest a framework based on OPF (Open Process Framework) meta model for the knowledge-based decision-making. Based on the modeling method of OPF, we can translate partial and implicit...

Censoring models are frequently employed in reliability analysis to reduce experimental time. There are three censoring model: type-I, type-II and random censoring. In this study, we focus on the right-random censoring model. In the previous literature, an imputation of the censored observation is considered...

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...

A hybrid BPNN-weighted GREY-C3LSP prediction (BWGC) is used for resolving the overshooting phenomenon significantly; however, it may lose the localization once volatility clustering occurs. Thus, we propose a compensation to deal with the time-varying variance in the residual errors, that is, incorporating...

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....

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...