Wyniki 1-3 spośród 3 dla zapytania: authorDesc:"Marek Landowski"

RDM interval method for solving quadratic interval equation DOI:10.15199/48.2017.01.16

Czytaj za darmo! »

The main task of uncertainty theory is to find the solution with uncertain variable. The ways of uncertainty description are probability density distribution, possibility distribution or interval. To solve the problem with uncertainty variable the calculation on interval is needed. The article presents the usage of RDM interval arithmetic for solving quadratic interval equation. The results obtained from examples are compared with Moore’s standard interval arithmetic solutions. Streszczenie. Głównym zadaniem teorii niepewnos´ci jest znalezienie rozwiazania ze zmienna˛ niepewna˛. Niepewnos´c´ moz˙na zapisac´ w postaci rozkładu ge˛stos´ci prawdopodobien´stwa, rozkładu moz˙liwos´ci lub przedziału. Do rozwia˛zania zadania ze zmienna˛ niepewna˛ potrzebne sa˛ obliczenia na przedziałach. Artykuł przedstawia wykorzystanie arytmetyki interwałowej RDM do rozwia˛zania interwałowych równan´ kwadratowych. Wyniki otrzymane z przykładów porównano z rozwia˛zaniami standardowej arytmetyki interwałowej Moore’a. (Metoda interwałowa RDM do rozwia˛zywania interwałowych równa´n kwadratowych) Keywords: standard interval arithmetic, RDM interval arithmetic, quadratic interval equation, uncertainty theory Słowa kluczowe: standardowa artytmetyka interwałowa, arytmetyka interwałowa RDM, interwałowe równanie kwadratowe, teoria niepewno´sci Introduction Interval arithmetic is a very important part in uncertainty theory where variable are often not exactly known. Interval arithmetic is used in Granular Computing [9], fuzzy arithmetic [3], automatic control theory [13], probabilistic arithmetic [14], Grey Systems [6]. Interval arithmetic is used where calculation on uncertain variable is made. Quadratic interval equations are met in practice when some of coefficients are uncertain. The problem is to find the region with the roots of polynomial [1, 2]. Moore interval arithmetic [7, 8] is commonly used in practice, but gives a good solution only in specif[...]

Average individual classification probability function

Czytaj za darmo! »

In everyday life people use different words to make various mental calculations. Therefore the proper description of a word is a crucial problem. There are two types of models of linguistic concept: possibilistic model and probabilistic model. In the possibilistic theory models of linguistic concept are described by the membership function [1], whereas in probability theory models of linguistic concept are described by classification probability function [2,3]. Possibilistic models described by the membership function are mainly used in fuzzy control and in modeling input-output relation of an object like y = f(x1, x2, …, xn). Probabilistic models describing linguistic concepts by classification probability function seem to perform better in automatic thinking and decisio[...]

BENEFITS FROM BREAKING UP WITH LINUX NATIVE PACKET PROCESSING WHILE USING INTEL DPDK LIBRARIES DOI:10.15199/59.2015.8-9.72


  The Intel Data Plane Development Kit (DPDK) is a set of libraries and drivers for fast packet processing in Linux. It is a dedicated framework for building efficient high-speed data plane applications supporting QoS features with poll mode drivers which are supporting virtual and physical NIC's so environment can be used to build efficient data plane applications for packet networks. The results of test on Quality of Service Metering Sample Application are presented. 1. INTRODUCTION Intel DPDK is dedicated framework for building efficient high-speed data plane applications supporting QoS features. Poll Mode Drivers (PMD) are supporting virtual and physical NIC’s so environment can be used to build efficient data plane applications for physical and virtual network. Also Kernel NIC Interface can be used for interaction with virtual machines and Linux network components. With the transition to Software Defined Networks (SDNs) and network functions virtualization (NFV), network infrastructures require solutions with the flexibility to scale across multiple deployment models while also providing exceptional performance [1]. For packet flow with the rate 10G packets per second the time of single packet arrival for typical network infrastructure (64 bytes) is 67,2 ns. That means if processing unit has 3 GHz clock only 201 cycles can be consumed for single packet processing [1]. This problem statement gives a huge challenge for server hardware and software as well. We have achieved point where traditional solutions stops being enough. Here with help comes Intel DPDK providing complete framework designed for fast and efficient packet processing. Framework includes set of libraries for environment through the creation of Environment Abstraction Layer (EAL) which can be specific for operating system, platform, architecture (32-bit or 64-bit), Linux User Space and its compilers. Once EAL is created user is allowed to l[...]

 Strona 1