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It is known that the features of the radio station vary with the signal to noise ratio (SNR) in a certain range which leads to the uncertainty of the radio station identification system. In this paper, we study the interval evidence recognizer by extending the individual features of the obtained radio from single value to interval and constructing the radio station feature database. Firstly, the range...
A consistent and useful treatment of missing and imprecise data is required for database systems. One problem is that when imprecise data are present then the semantics of query evaluation are no longer obvious and uncertainty is introduced. It is proposed that the query result consist of two sets of objects: those where there is complete certainty and those where there is some uncertainty. Furthermore,...
Waveform parameter agility is one of the effective approaches in improving the low probability of identification (LPID) performance for airborne radar. In this paper, we employ the identification capacity theory to investigate the design criterion of a set of available hopping frequencies with uniform distribution, including the designment of optimal frequency number and frequency interval. Firstly,...
Queries with aggregation represent an important aspect in database systems. They are widely used in online analytical processing, decision support systems, and data analytics. Aggregate functions usually perform calculations on a set of values of a particular column and return a single summarized value. However, handling aggregate functions becomes a challenge when dealing with uncertain data as there...
With the development of web technologies, there is lots of information on the web. For effective web searching, the recommendation systems appear on the web. The recommendation systems provide customized information for the personal users. The conventional processes of the recommendation are generally based on the user preferences for the items. This leads to the cold-start problems for new items...
Information sets expand the scope of the existing uncertainty theories by representing uncertainty in the information sources. An information set takes into account both the information source values as well as the membership grades. In this study, we investigate in detail the properties of the information sets. The information measures for the information sets are also developed to measure the information...
Crowd-based data sourcing is a new and powerful data procurement paradigm that engages Web users to collectively contribute information. In this work, we target the problem of gathering data from the crowd in an economical and principled fashion. We present Ask It!, a system that allows interactive data sourcing applications to effectively determine which questions should be directed to which users...
The aim of this paper is to present a method to identify the best item in a dataset. This is done through performing a comparative analysis between two different procedures of information gain and apriori algorithm. The former is a method used in data mining and the latter is used in decision making. A software is designed and developed for the implementation of both information gain and apriori algorithm...
Entity reconciliation is crucial to data interoperability in heterogeneous databases. In our previous research works, we proposed an entities matching algorithm based on attribute entropy to identify the corresponding entities, which can resolve the limitations of present main approaches and improve the precision of entities matching obviously. By our further research, we find that some attributes...
This paper presents a method based on information entropy to analyze the capacity of covert channels. Built upon noninterference, the method is firstly used to calculate the covert channel capacity, then to analyze the factors that have an impact on this quantity. Finally an example is given of the capacity calculation for covert channels in a multilevel secure database.
With progress of information technology, it is necessary to access multiple heterogeneous databases in order to get the desired information from different sources. One main problem encountered constantly among heterogeneous databases is entity heterogeneity, which arises when the same real-word entity type is represented using different identifiers in different application domains. So identifying...
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