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A polarization converter (PC) based on the mode coupling in a hybrid plasmonic waveguide (HPW) is proposed. This PC comprises a Si core, a low index insulator layer surrounding the Si core, and two asymmetrically arranged Ag strips. Two orthogonal hybrid polarization modes are excited within the low index insulator layer. By exploiting the mode characteristics of these two hybrid polarization modes,...
Similarity search is an essential operation in many applications. Given a collection of set records and a query, the exact set similarity search aims at finding all the records that are similar to the query from the collection. Existing methods adopt a filter-and-verify framework, which make use of inverted indexes. However, as the complexity of verification is rather low for setbased similarity metrics,...
Recently, there is an increasing demand for real-time analytics – that is, up-to-the-minute reporting on business processes have traditionally been handled by warehousing system. But traditional warehousing systems do not have the ability to handle growing data set which are created by modern society. Systems like Apache Hive and Spark SQL share excellent features like scale-out, high availability...
On the basis of modern logistics theory and researches in logistics industry of competitiveness connotation and characteristic by other scholars, this paper lists six indexes of modern evaluation system of logistical Industry Competitiveness: logistics requirement, supply capacity of logistic, logistic infrastructure and talents of logistic. Also, this paper draws a practical study of comparison of...
String similarity search is a fundamental operation in data cleaning and integration. It has two variants, threshold-based string similarity search and top-k string similarity search. Existing algorithms are efficient either for the former or the latter; most of them can't support both two variants. To address this limitation, we propose a unified framework. We first recursively partition strings...
The increasing popularity of cloud computing makes the data owner to outsource sensitive data in encrypted form onto the cloud. To tackle the problem of searching over encrypted cloud data, many keyword-based searchable encryption schemes have been proposed. However, there are few document-based search schemes in this field, which are also important in real applications. In this paper, we use the...
The Probability Hypothesis Density (PHD) filter is a more tractable alternative to the Random Finite Set (RFS) based optimal multitarget Bayes recursion. In this paper, a matrix reformulation of the Gaussian Mixture PHD (GM-PHD) filter is introduced. Thus a new multisensor GM-PHD filter is constructed based on the matrix reformulation. Simulation results show it can be used in some applications when...
Big Data boosts the development of data management and analysis in database systems but it also poses a challenge to traditional database. NoSQL databases are provided to deal with the new challenges brought by Big Data because of its high performance, storage, scalability and availability. In NoSQL databases, it is an essential requirement to provide scalable and efficient index services for real-time...
Isoline generating is often used in reservoir simulation, but the speed of data processing is likely to become slowly while the number of data is enormous. During the isoline generating, isoline tracing takes most of the time. In order to satisfy the requirement of real-time, an isoline tracing algorithm with CUDA is designed in this paper. In the algorithm designed here, equivalent points are stored...
Distributed Denial of Service (abbreviated DDoS) attack is a serious problem to the network services. This paper analyzed some solutions to the application layer DDoS (abbreviated app-DDoS) attack, and proposed a relative entropy based app-DDoS detection method. Our scheme includes two stages: learning stage and detection stage. Firstly at the learning stage, it extracts main click features of web...
The core of performance fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification...
In order to realize evaluation of oil storage safety, clear the redundant data in indexes membership which is not useful for goal classification, based on data mining of entropy, mining knowledge information about object classification hidden in every index, affirming the relation of object classification and index membership, eliminating the redundant data in index membership for object classification...
In any multi-indexes uncertainty decisions, if choosing membership function to describe the uncertainty of every space-index value about some status, it must meet membership degree conversion, which must solve the conversion from membership degree of coordinates to membership degree of points. But the present methods affect the credibility of result of decision because of the redundant data. So, by...
The core of fuzzy evaluation on the safety of chemical industrial park is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information...
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