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.
Magnitude-only resting-state fMRI data have been largely investigated via independent component analysis (ICA) for exacting spatial maps (SMs) and time courses. However, the native complex-valued fMRI data have rarely been studied. Motivated by the significant improvements achieved by ICA of complex-valued task fMRI data than magnitude-only task fMRI data, we present an efficient method for de-noising...
In recent years, the data mining technology has been developed rapidly. New efficient algorithms are emerging. Association data mining plays an important role in data mining, and the frequent item sets are the highest and the most costly. This paper is based on the association rules data mining technology. The advantages and disadvantages of Apriori algorithm and FP-growth algorithm are deeply analyzed...
Most stream classifiers need to detect and react to concept drifts, as traditional machine learning goes to big data machine learning. The most popular ways to adaptive to concept drifts are incrementally learning and classifier dynamic ensemble. Recent years, ensemble classifiers have become an established research line in this field, mainly due to their modularity which offers a natural way of adapting...
With the establishment of open universities and development of colleges of online education in China, massive user data are stored in web-based learning cloud platforms and network examination systems. There will have the problem of very slow processing rate if such a huge volume of information is discovered only traditional methods, reducing the mining efficiency because of frequent read-in (RI)...
Data integration between various systems of complex product manufacturing enterprises and the resource management issues are the focus of the attention of the management sectors. To solve the problem, the ship manufacturing, for example, this paper detailed analyzing the characteristics of its data storage and description, and according to the MOF element model mechanism, using rule-based routes to...
This paper presents a study of regional effect on incubator function of innovation cluster from the perspective of knowledge management. First, the concept of Regional Incubator Function is defined. The reasons of both the birth and the development of the Regional Incubator and the effect of promotion of knowledge spillover are analyzed. Second, factors of the influence of the knowledge spillover...
With the aim of getting more accurate and more reliable stock price predicted results, this paper proposes an effective method which is fuzzy rough set and data mining technology. Firstly, stock prices were classified to some groups according to their different time attribute by using fuzzy set and rough set means. Then we calculated truth values of these groups respectively based on the given fuzzy...
To reduce the number of candidate itemsets and the times of scanning database, and to fast generate candidate itemsets and compute support, this paper proposes an algorithm of association rules mining based on attribute vector, which is suitable for mining any frequent itemsets. The algorithm generates candidate itemsets by computing nonvoid proper subset of attributes items, it uses ascending value...
Clustering techniques has been applied to the classification of industrial pollution source. Use the features of industrial waste water pollution sources and waste gas pollution sources to build the data model, and cluster about 30000 records of pollution sources, then assess and explain the clustering results. Build a two-dimensional classification based on waste water and waste gas according to...
Putting investment in real estate or in stock? It is a hard decision for the investors to make. So based on the data from the year 1998 to 2007, this article sets up a gray-situation decision model, which shows that in the past 10 years the strategy of investing in real estate is the best, better than investing in stock and than investing in both simultaneously. This article believes that it is not...
First, this article looked back upon the channels that the stock market affects the real estate's disbursement and made a brief literature summary on the effect that the stock market brings about to the real estate's disbursement. Next, the article put up a linear model on the basis of Modigliani life cycle model, which shows the stock market's effect on the real estate's disbursement, and carried...
In adaptive array systems, high sidelobe leads to a substantial performance degradation in the presence of unexpected interferences. The adaptive beamforming algorithm can place the null in the direction of the jammer. When the interfere moves quickly or the antenna platform vibrates, it is possible that the weight mismatches the data of measurement due to the perturbation of the interferer location...
This paper addresses a cooperative jamming resource allocation problem in electronic warfare and presents a resource allocation model of cooperative jamming (CJRA). Besides the capabilities and number of available jamming resources, the model also takes many constrains into account. Then an improved immune genetic algorithm (IIGA) is presented to solve the problem. In order to prevent the algorithm...
T shirt attracts wide attention of consumers at different level, and is popular in the worldwide for its various styles and rich colors. In this paper, women's T shirts were selected as objects, and young women were selected as target group. The influences of collar types towards women's T-shirt fashionable design were studied based on visual recognition. And the psychology experimental software was...
Delayed coking is an important way in the thermal treatment of heavy oil. The process consumes tremendous energy, mainly used to provide reaction heat for the coking process. In this paper, to retrofit a certain delayed coking plant, taking features of the process into account, a scheme is proposed based on pinch technology, in which the waste heat in higher temperature is used to heat the feed instead...
At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In...
Given uncertain status reports or notes come from multi-sensor, identity fusion further makes them integrate information and jointly determine the observed entities. This paper discusses an improved data fusion approach to multi-biometric feature, including face, fingerprint and iris image. The approach is called improved multiple biometric data fusion algorithm, based on the eigen-face and the Gabor...
Phosphorus sludge is one kind of harmful waste from the yellow phosphorus industrial production. It can cause serious pollution to the environment. It was used to be a kind of raw material to produce sodium hypophosphite. However, phosphorus sludge is hard to decompose, so dispersing agent has to be added to increase the productive rate of sodium hypophosphite. Four kinds of dispersing agents are...
Today's market is characterized by high levels of uncertainty and turbulence. Outsourcing and globalization have created longer and more complex supply chains, which are more vulnerable to business disruptions. Thus it is critical for firms to enhance supply chain disruption mitigation capabilities. This research investigates the impact of supply chain collaboration on disruption mitigation capability...
To analyze the education of a school, the first thing is to analyze the whole teacher team of that school. How to measure the quality of the team and the personal qualities of team members, to understand the development trend of the whole team and the potential ability becomes very necessary. A well established data analysis system for teachers can provide both macro-data and micro-data analysis for...
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.