نتایج جستجو برای: order preserving transformation
تعداد نتایج: 1147513 فیلتر نتایج به سال:
Color transformations are frequently embodied in look-up tables (LUTs) whose content is the result of computation performed on the basis of color measurements. Noise in color measurements and device output gives LUTs that result in lack of smoothness in color transitions. Smoothing of color LUTs is therefore typically performed, often with a significant loss of accuracy. This paper proposes a m...
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security, intellectual property rights, and many others. In this paper, we address the privacy problem against unauthorized secondary use of information. To do so, we introduce a family of geometric data transformation methods (...
We present an algorithm for the decomposition of processes in a process algebraic framework. Decomposition, or the refinement of process substructure, is an important design principle in the top-down development of concurrent systems. In the approach that we follow the decomposition is based on a given partition of the actions of a system specification, such that for each partition class a subp...
let h be a finite dimensional complex hilbert space, b(h)+ be the set of all positive semi-definite operators on h and phi is a (not necessarily linear) unital map of b(h) + preserving the entropy-gibbs transformation. then there exists either a unitary or an anti-unitary operator u on h such that phi(a) = uau* for any b(h) +. thermodynamics, a branch of physics that is concerned with the study...
The Fibonacci-to-Galois transformation is useful for reducing the propagation delay of feedback shift register-based stream ciphers and hash functions. In this paper, we extend it to handle Galois-to-Galois case as well as feedforward connections. This makes possible transforming Trivium stream cipher and increasing its keystream data rate by 27% without any penalty in area. The presented trans...
Transformation of data with any data model is an important activity to the database community. Specially in peer to peer(P2P) system, data transformation between two peers is a necessary task when data management is an issue. With the advent of XML as an widely used and adopted data representation and exchange format over the web, transformation of data in XML P2P systems is getting much intere...
Behavior preservation, namely the fact that the behavior of a model is not altered by the transformations, is a crucial property in refactoring. The most common approaches to behavior preservation rely basically on checking given models and their refactored versions. In this paper we introduce a more general technique for checking behavior preservation of refactorings defined by graph transform...
The sequential circuit designed was Look-Ahead Transformation based LFSR in which a hardware complexity was present and it may limit their employ in many applications. The design of efficient LFSR for BCH encoder using TePLAT (Term Preserving Look-Ahead Transformation) overcame this limitation by opening the employ of minimizing the iteration bound and hardware complexity in wide range of appli...
We show the short-time existence and uniqueness of solutions for the motion of an evolving hypersurface in contact with a solid container driven by the volume-preserving mean curvature flow (MCF) taking line tension effects on the boundary into account. Difficulties arise due to dynamic boundary conditions and due to the contact angle and the non-local nature of the resulting second order, nonl...
Stream processing is a general information processing paradigm with different applications in AI. Most stream languages rely on the concept of a sliding window with a bag semantics, which is in order for relational streams but may lead to inconsistencies when applied on streams of assertions evaluated against a conceptual model. Our approach uses a different semantics based on ABox sequencing. ...
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