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Teamwork and collaborative practice are necessary tools in handling health problems and the importance of interprofessional teamwork is becoming increasingly recognized. The process of team development is a series of multilevel, overlapping responsibilities, which are intertwined with each other, and...

A single band E-Shaped Patch antenna with Defective Ground Structures (DGS) was proposed. The overall dimension of the antenna is (32*31.5*1.64) mm. This antenna produces bandwidth ranges from (2.3 to 2.5) GHz, which supports ISM band application. This provides reflection coefficient about -32dB respectively....

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...

Aiming at the problems of high cost, large volume of the PC image transmission and display system, poor backend portability, transmission delay of the image transmission and display system using network camera, an image transmission and display system of IP network camera based on SOC was designed. The...

A random vibration fatigue test system developed by the company was used to conduct a random vibration fatigue test at a temperature of 25? /450? for a typical plate element of GH188 alloy, and the random vibration fatigue median life of S-N curve of GH188 superalloy at a temperature of 25?/450? was...

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...

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...

This article takes the non-bearing wall cast-in-place process as the research object, making comprehensive use of CFD analysis methods, CAE technology, ANSYS Gambit and Fluent software. the flow field simulation was carried out in the mixing section and the grouting process in the pouring wall process....

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,...

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...

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....

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...

The dynamic pressure lubrication theoretical model of worm gear ZC1 is established, the formula of hydrodynamic lubrication discretization for the calculation of the mixed friction efficiency of circular cylindrical worm and worm pair is achieved and the formula and process for solving the hybrid friction...

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...

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...

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...

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.

A novel training paradigm for artificial neural networks had been developed and presented in this article. In the proposed approach, a revised version of particle swarm optimization (PSO) had been employed to find out the optimal connection weights of feed-forward artificial neural networks for given...

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...

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 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...

This paper presents a neuro-fuzzy system to speech classification. We propose a multi-resolution feature extraction technique to deal with adaptive frame size. We utilize fuzzy adaptive resonance theory (FART) to cluster each frame. FART was an extension to ART, performs clustering of its inputs via...

In nowadays business, online service in Internet Banking is a major concern for managing customer relationship but on the other side, there are several challenges that should be faced by banks when they implement this technology. By using the technology acceptance model, this research was conducted through...