The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A dental articulator and three-dimensional (3D) scanner were utilized to reconstruct the spatial relationship between upper and lower edentulous jaw gypsum models made from five patients. The 7-axis Faro Edge contact measurement system was used to evaluate the vertical and horizontal distances between jaws. Paired t-test results of vertical distance (0.089±0.428 mm) and horizontal distance (−0.082±0...
In strategic bargaining, decider feels inequality aversion in \cite{Bolton1991}, fairness affects bargaining efficiency and distribution of bargaining outcomes in \cite{Rabin1997}, but they all leaves tolerance open. It is difficult to explore bargaining outcomes when incorporating tolerance into bargaining structure. In this paper, we consider decider withholding cooperation from proposer even if...
Stream computing is an emerging computational model for performing complex operations on and across multi-source, high volume data ?ows. Given that the deployment of the model has only started, the pool of mature applications employing this model is fairly small, and therefore the availability of workloads for various types of applications is scarce. Thus, there is a need for synthetic generation...
The performance of ensemble-forecast system on winter 500hPa height field in the Northern Hemispheric Extratropics (NHE) is studied by using the Meteo France model data of DEMETER project, with analysis on performance of the model modes based on empirical orthogonal function (EOF) of observations. Both optimum subset regression (OSR) and analogue method are used to advance the model prediction on...
The channel of Low Voltage Powerline Carrier Network is known for its hostile nature in transmitting electrical signal, nodes of the network are not stationary and the network topology is time varying volatility. So in order to reduce the collision in utmost level, to improve the successful probability of communication and to guarantee the real-time of data packet and the stability of Medium Access...
Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high...
Exchange rates float with non-linear dependence and long-term memory characters, so we choose the neural network tool to forecast it. Based on the previous research work, we use two groups of data at different time-intervals to make forecasting experiments with homogenous neural network model and heterogeneous neural network model. According to the results of the experiments, we make a comparative...
Distributed Web crawling (DWC) over DHTs is proposed to solve the bottlenecks in the traditional Web crawling. The core of this kind of system is its fully distributed task scheduling mechanism in which the crawlers are treated as peers and the crawlees are treated as resources maintained by the peers. A system model based on the content addressable network (CAN) can further optimize the scheduling...
Facing the present credit risk measurement academic research and practical research in our country, based on different evaluation standpoints, this article will divide the Credit Risk into bank internal and bank integral these two levels, mainly using gray forecasting model to start commercial banks' integral credit risk measurement methods analysis from the perspective of measurement, having strong...
In the face of the status quo of credit risk measurement academic research and practical research in China, the banks' credit risk measurement can be divided into the banks' interior and banks' integral these two levels. Through the analysis, it is found that the most suitable objective conditions of the commercial banks' internal credit risk measurement method in China is KMV model, with strong theoretical...
This paper proposes a bidirectional generation method with a set of consistent bidirectional generation rules between SmartC models and codes. Based on these rules, the consistency of the bidirectional generation between SmartC models and codes is demonstrated by a case study. Extensive tests are conducted to show the performance of this bidirectional generation method. And the efforts of different...
Mining maximal frequent itemsets has been widely concerned. However, mining data streams is more difficult than mining static databases because of the huge, high-speed and continuous characteristics of streaming data. This paper presents an algorithm, called IDSM-MFI. The algorithm uses a synopsis data structure to store the items of transactions embedded data streams so far. It adopts a top-bottom...
It is a key problem to represent properly the knowledge in space decision support system. The knowledge has the character of multi-dimension, fuzzy and randomcity in uncertain problems on space decision. In order to improve the ability of dealing with uncertain problems in space decision support system the representation and induction based on cloud model is proposed in this article. Firstly the multi-dimension...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.