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.
Internet scale continues to expand, the IPv6 protocol standard is implemented in the network gradually, make the behavior characteristic of the network become more changeful and more unstable, so it can be more detailed to carry on network situation perception system according to network data stream to become the next research direction. The support of IPv6 Network Situation Awareness system is realized...
The conflict over the Asian Infrastructure Investment Bank (AIIB) involving China, the United States of America (USA), and Japan is analyzed within the paradigm of the Graph Model for Conflict Resolution to gain strategic insights and to predict the possible compromise resolutions. The conflict starts after China proposed in October 2013 the establishment of the AIIB. The USA and Japan opposed the...
CST (Crop Statistics Tool) is a standalone freeware for predicting crop yield statistics using indicators derived from crop models, weather or remote sensing data. The principle of CST is that years similar to the target year (e.g. the current year) should have similar yields, or similar yield deviations from a technological time trend. In practice, CST guides the crop analyst through standard steps:...
In order to analyze the economic performance of thermal power plant, a partial least squares support vector machine coupling model was constructed. First of all, the coal consumption rate was selected as the evaluating indicator, which is an important indicator to evaluate the economy of power plant. At the same time, the physical quantities were established, which is closely related to coal consumption...
The objective of this paper was to discover the hidden academic relationship between academic achievement and higher education institutions. This paper presented an approach that could be utilised to identify the sets of attributes by combining decision tree and attribute selection. The main idea involves using techniques from the field of data mining to select important attributes, which can then...
In survival analysis, the primary goal is to monitor several entities and model the occurrence of a particular event of interest. In such applications, it is quite often the case that the event of interest may not always be observed during the study period and this gives rise to the problem of censoring which cannot be easily handled in the standard regression approaches. In addition, obtaining sufficient...
As one of the potent greenhouse gases, methane emission from ruminants has been intensively studied over the past decades. Various regression-based models have been applied to examine factors affecting enteric methane emission. Based on Bayesian networks, this paper proposes an alternative network-based approach to model the relationship among factors affecting enteric methane emissions from milking...
We consider the Erlang A model, a queuing model often applied to analyze call center performance. While not a new model, Erlang A is becoming a popular alternative to the widely used Erlang C model. In this paper we analyze the accuracy of Erlang A predictions in high traffic environments, a situation where the Erlang C model is not applicable. Our findings indicate that in this high traffic region...
High definition video streams increase their Internet presence year over year. Therefore, they are starting to challenge network resource allocation with their bandwidth requirements and statistical characteristics. In this paper, we apply a seasonal autoregressive model for modeling and prediction of 4K video traffic, encoded with H.265 (HEVC) encoding standard. The obtained experimental results...
There are various approaches for development of Value at Risk (VaR) forecasting models but the final steps of a building procedure usually incorporate different validations of the models like adequacy tests and backtesting. These validations provide solid reasons to reject those models which do not pass the tests. However there are situations when several models are deemed to provide good forecasts...
Physical products are becoming smarter because of their increased number of embedded sensors and their real-time information-processing capabilities. Data analytics, particularly predictive analytics, is one of the most important of these capabilities because it uses statistical or machine-learning techniques to determine causal relations between input and output parameters. Many researchers have...
We develop an analytical modeling framework for efficient prediction of cache miss ratios based on reuse distance distributions. The only input needed for our predictions is the reuse distance distribution of a program execution: previous work has shown that they can be obtained with very small overhead by sampling from native executions. This should be contrasted with previous approaches that base...
Climate simulation and weather forecasting codes are among the most complex examples of scientific software. Moreover, many of them are written in Fortran, making them some of the largest and most complex Fortran codes ever developed. For companies and researchers creating Fortran development tools -- IDEs, static analyzers, refactoring tools, etc. -- it is helpful to study these codes to understand...
Count data with excess zeroes are widely encountered in the fields of biomedical, medical, insurance and public health survey. Zero-inflated Poisson (ZIP) regression model is an useful tool to analyze such data. In this paper, a Bayesian analysis approach is proposed, where the data augmentation strategy in combination with Gibbs sampler and M-H algorithm is used to obtain the Bayesian estimates of...
With the development of computer network technology, Sina micro logging platform have become the birthplace of the hot spots and important route of transmission. Due to the complexity of the network information, sometimes, it is necessary to control the spread of some of microblogging. The forwarding prediction system can make contribution to build a better microblogging environment. The used dataset...
We introduce a fault isolation technique based on the analysis of the deformation of data-driven models produced by an incoming fault. Combining the gradients within a model, with the confidence of the model in terms of its quality influenced by the degree of violation of the uncertainty measure used in the fault detection phase allows us to successfully identify faults from the fault alarms produced...
This paper discusses dynamic alliance (DA) as a form of global supply chain (GSC) and how to develop its quality risk control technology based on 5M1E analysis through fuzzy relation model. A solution method based on genetic algorithm (GA) is proposed to obtain the solution of the proposed model. Finally, a case study of a large-scale water conservancy and hydropower construction project is used with...
Lexicalized reordering models are very important components of phrase-based translation systems. By examining the reordering relationships between adjacent phrases, conventional methods learn these models from the word aligned bilingual corpus, while ignoring the effect of the number of adjacent bilingual phrases. In this paper, we propose a method to take the number of adjacent phrases into account...
Predicting the effort, duration and cost required to develop and maintain a software system is crucial in IT project management. Although an accurate estimation is invaluable for the success of an IT development project, it often proves difficult to attain. This paper presents an empirical evaluation of four parametric software estimation models, namely COCOMO II, SEER-SEM, SLIM, and True Planning,...
Visual Sensitivity analysis has proven its feasibility in data exploration and exposing relationships between the variables in the model. However, it lacks the ability of user direct interaction of outputs. To overcome this drawback for this interdisciplinary field, in this paper we introduce a novel approach of integrating an interactive visualization and a sensitivity analysis method into a visual...
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.