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.
We propose a data mining approach to predict the wine's quality level in order to improve the quality of products for wine enterprises in this paper. A large dataset is considered and three regression techniques were applied. Through the comparison, we get the conclusion that the model established by neural network is more accurate and it can improve the quality of wine's production.
Today, more and more people like to take kinds of vehicles to travel, there are so many tourists and vehicles at every scenic, as a result, how to effectively solve problems between ecological environment protection and tourist development, how to wisely handle abnormal events of the scenes, such as quick response for incidences, safety of tourists, people/vehicles evacuation and so on. In this paper,...
Water quality is an important global issue, requiring effective management, which needs good predictive tools. While good methods for lake water quality prediction have previously been developed, accurate prediction of river water quality has hitherto been difficult. This project combines process-model and data mining approaches through evolutionary methods, resulting in tools for more effective water...
Modern product and process development tools must meet wide-range of requirements. Minimizing the number of experiments while maximizing of the amount of information generated is only one aspect. Time restrictions and constraints imposed by the technology as well as specific customer demands are imperative boundary conditions which must be considered when planning an experiment. Furthermore, the experiment...
As DC/DC converter is of strong non-linear, a fuzzy self-adaptive adjusting of PED controller is presented. This is a control mode which employs fuzzy control rules to modify the PED parameters online. The object of study in this paper is phase-shifted full-bridge converter. The performance of the converter has been proved to be perfect by using MATLAB simulation.
In the regular ring signature, once the secret key is compromised, all signature before the compromise will not be trustworthy any more. Recently, to overcome the shortcomings, Wang et al. proposed a forward-secure ring signature scheme. However, in this paper, we show the scheme doesn't satisfy the forward security. That is the adversary can forge the former signature if the signer's current secret...
This paper explores the effect of model change from direct to distribution on the behavior of buyer and supplier and their relationship. First, a theoretical framework is established to investigate the effect of model change based on literature review. Then, a case study is presented to illustrate the developing relationship between a world-class American company and its Chinese suppliers. Finally,...
The usefulness of persistent excitation is well-known in the control community. Thanks to a persistently excited adaptive tracking control, we show that it is possible to avoid the strong controllability assumption recently proposed in the multidimensional ARX framework. We establish the almost sure convergence for both least squares and weighted least squares estimators of the unknown parameters...
Companies, institutions, and local authorities look for virtualizing all provided services to obtain more profit in terms of productivity, profitability, quality of service, traceability. The main issues are the identification of problems to solve and the choice of adapted solutions. To build these ones, functional and technical profiles must communicate to understand precisely the domain, the problem,...
Though the price of M&A has already been studied based on classical NPV model, which is not adaptable for real uncertain situation. This paper presents a new approach of measuring the target enterprise value of M&A, consisting of two parts, one is measured by NPV model and another is measured by real options model, which can be integrated to calculate the target enterprise by introducing synergy...
The transport mode and transport path in the multimodal transport have an effect on the benefits of the carriers and customers. According to feature in the relationship between the transport mode selection and the transport path optimization, a integrated model which can be used to select the transport mode and optimize the transport path synthetically was proposed to fit the diversification of the...
This paper examined the social network construction mode based on connected network component under dynamic alliance environment. We assume that firms in one industry participant in alliances dynamically and simulation results show how the alliance network factors influence the social network information sharing performance. Four propositions in a long-term and no extreme value context are built:...
Information foraging has gained broad attentions within the cognitive science, computer science and library and information science community in recent years, and its critical ideas have affected these communities a lot. However, few researchers get the basic view of information foraging theory which will blocks this theory's future development. The paper gives a framework for information foraging...
We propose the development of a framework for the dynamic interpretation of trust models, defined via a domain specific language. A trust model usually defines abstractions, the interpretation of which change in conjunction with changes in the domain or changes in the context in which the program executes. In a scenario where trust model assumptions encoded in the DSL change, programmers must still...
Digital systems have been rapidly evolving within highly dynamic and unstructured environments, where the lack of a central authority forces entities to interact with each other through collaboration and negotiation. Digital agents often use Trust models in order to compute the level of trustworthiness of the partner they want to collaborate with. Unfortunately, due to the evolution speed of open...
In our Mandarin spoken document retrieval system, the effects of both retrieval source and retrieval model are considered. For the retrieval source, the syllable-lattice is adopted which can ameliorate the effect of speech recognition error on document retrieval. For the retrieval model, the document length prior is combined with Jelinek-Mercer smoothing technique, which is widely applied in text...
Knowledge becomes the most important strategic resource of product creative design. Knowledge fermentation based on RP is that new creativity (knowledge) becomes a physical prototype which full of new knowledge under the control of RP(knowledge enzyme) in the environment of constitute of rapid prototype technology platform and creative design system. Knowledge fermentation model is established according...
The need for real-time data mining has long been recognized in various application domains. However existing methodologies are still limited to the optimization of single classical data mining algorithms. In this paper, we investigate the development of a general purpose methodology for real-time data mining and propose a novel supporting framework. In the methodology, definition, characteristics...
Evolutionary patterns of sequence divergence were analyzed in genes from the conifer genus Taxus (yew), encoding paclitaxel biosynthetic enzymes taxadiene synthase (TS) and 10-deacetylbaccatin III-10beta-O-acetyltransferase (DBAT). Nterminal fragments of TS, full-length DBAT and internal transcribed spacer (ITS) were amplified from 15 closely related Taxus species and sequenced. While both TS and...
Complex adaptive system (CAS) theory is used to analyze the e-commerce system and the concept of e-commerce transaction network is proposed. The e-commerce transaction network can be viewed as a complex network which is constructed by transaction behaviors between buyers and sellers. Then we give a formal definition of the e-commerce transaction network and establish a multi-agent model for e-commerce...
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.