scholarly journals The Application of The Use Integration Technique in Solving An Integral Problem

2020 ◽  
Vol 2 (7) ◽  
pp. 155
Author(s):  
Sri Rejeki Dwi Putranti
Keyword(s):  
Integration Technique ◽  
Integral Problem ◽  
Derivative Formula ◽  
Integration Techniques ◽  
Partial Integration

There are many integration techniques that can be used to solve an integral problem.In this material, several integration techniques will be discussed including substitution, the properties of algebra and trigonometry and techniques commonly used in test books.If we are faced with integral problems that cannot be solved by techniques ,what we have learned, we use partial integral techniques. Partial integration technique is obtained by integrating the derivative formula of the product by two functions. Keywords: integration technique; substitution; partial integration technique

Semantic Interation, Text Mining, Tools and Technologies

2015 ◽  
pp. 47-63
Author(s):  
Chandrakant Ekkirala
Keyword(s):  
Text Mining ◽  
Data Integration ◽  
Semantic Integration ◽  
Semantic Technologies ◽  
Integration Technique ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Periodic Data ◽  
Integration Techniques ◽  
Mining Algorithms

Semantic technologies have gained prominence over the last several years. Semantic technologies are explored in detail and semantic integration of data will be outlined. The various data integration techniques and approaches will also be touched upon. Text Mining, different associated algorithms and the various tools and technologies used in text mining will be enumerated in detail. The chapter will have the following sections – 1. Data Integration Techniques • Data Integration Technique – Extraction, Transformation and Loading (ETL) • Data Integration Technique – Data Federation 2. Data Integration Approaches • Need Based Data Integration • Periodic Data Integration • Continuous Data Integration 3. Semantic Integration 4. Semantic Technologies 5. Semantic Web Technologies 6. Text Mining 7. Text Mining Algorithms 8. Tools and Technologies for Text Mining

Mixed Time Integration Parallel Algorithm for Nonlinear Dynamic Analysis

2014 ◽  
Vol 580-583 ◽  
pp. 3038-3041
Author(s):  
Chao Jiang Fu
Keyword(s):  
Dynamic Analysis ◽  
Parallel Algorithm ◽  
Nonlinear Dynamic ◽  
Time Integration ◽  
Nonlinear Dynamic Analysis ◽  
Integration Technique ◽  
Explicit Time Integration ◽  
Implicit Algorithm ◽  
Integration Techniques ◽  
Implicit And Explicit

The mixed time integration parallel algorithm for nonlinear dynamic analysis was presented by synthesising the implicit and explicit time integration techniques. The parallel algorithm employing mixed time integration technique was devised with domain decomposition. Concurrency was introduced into this algorithm by integrating interface nodes with explicit time integration technique and solving local subdomains with implicit algorithm. Numerical example was implemented to validate the performance of the parallel algorithm. Numerical studies indicate that the proposed algorithm is superior in performance to the implicit algorithm.

scholarly journals Macro-Integration for Solving Large Data Reconciliation Problems

2014 ◽  
Vol 43 (1) ◽  
pp. 29-48 ◽  
Author(s):  
Nino Mushkudiani ◽  
Jacco Daalmans ◽  
Jeroen Pannekoek
Keyword(s):  
Large Data ◽  
Data Sources ◽  
Data Reconciliation ◽  
High Dimensional ◽  
Integration Technique ◽  
Short Term ◽  
Established Method ◽  
Business Statistics ◽  
Integration Techniques ◽  
Micro Level

Macro-integration technique is a well established method forreconciliation of large, high-dimensional tables, especially applied to macroeconomic data at national statistical oces (NSO). This technique is mainly used when data obtained from dierent sources should be reconciled on a macro level. New areas of applications for this technique arise as new data sources become available to NSO's. Often these new data sources cannot be combined on a micro level, while macro integration could provide a solution for such problems. Yet, more research should be carried out to investigate if in such situations macro integration could indeed be applied. In this paper we propose two applications of macro-integration techniques in other domains than the traditional macro-economic applications. In particular: reconciliation of tables of a virtual census and reconciliation of monthly series of short term statistics gures with the quarterly gures of structural business statistics.

Combating GNSS Interference with Advanced Inertial Integration

2005 ◽  
Vol 58 (3) ◽  
pp. 419-432 ◽  
Author(s):  
Paul D. Groves ◽  
Daniel C. Long
Keyword(s):  
Low Cost ◽  
Gps Tracking ◽  
Low Grade ◽  
Gps Receiver ◽  
Tracking Loop ◽  
Integration Technique ◽  
Integration Architecture ◽  
Integration Techniques ◽  
Tightly Coupled ◽  
Signal Environment

There are many scenarios where an integrated INS/GNSS navigation system may be required to operate in a high interference or weak signal environment. The GPS receiver may exploit the inertial aiding by operating with narrow tracking loop bandwidths in order to increase interference resistance. However, where a low grade INS is used, wider bandwidths are desirable to calibrate the INS errors effectively. This is important for GPS tracking loop aiding and sole-means inertial navigation during jamming. To obtain both effective INS calibration and jamming resistance, an adaptive tightly-coupled (ATC) INS/GPS integration architecture has been developed. The ATC technique has been assessed by simulation, showing that it provides a significant anti-jam margin over an INS/GPS with fixed tracking bandwidths selected for INS calibration. Compared to the deep (or ultra-tightly-coupled) integration techniques currently under development, ATC is a low cost anti-jam integration technique as it does not require a complete re-design of the navigation architecture. When there is too much interference for any GNSS signals to be tracked, the INS provides sole-means navigation. Thus, it is important to optimise the calibration of the INS when GNSS signals are available. To this end, the effects of estimating higher order inertial instrument errors and satellite range biases within the INS/GPS integration filter have been assessed.

A rapid CBF/CMRO2 measurement with a single PET scan with dual-tracer/integration technique in human

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S609-S609 ◽  
Author(s):  
Takuya Hayashi ◽  
Nobuyuki Kudomi ◽  
Hiroshi Watabe ◽  
Hisashi Oka ◽  
Kohei Hayashida ◽  
...  
Keyword(s):  
Pet Scan ◽  
Integration Technique ◽  
Dual Tracer

Scots and Access to Spanish America from Before the Union to 1748

2018 ◽  
Vol 38 (1) ◽  
pp. 73-87 ◽  
Author(s):  
Bruce Lenman
Keyword(s):  
Eighteenth Century ◽  
Spanish America ◽  
Political Life ◽  
British State ◽  
Scottish Politics ◽  
Partial Integration ◽  
The Way

This article begins with the idea that there was a vigorous political life in Scotland in the first half of the eighteenth century which could focus on issues other than Jacobitism or government patronage. The article focuses on the non-dynastic issues in Scottish politics that predated the Union and which carried on into the Westminster parliament to the accompaniment of considerable activism in Scotland, and a distinctive contribution from Scottish members of both houses of the legislature. The example here examined is the burning issue of securing commercial access to the forbidden lands of Spanish America. Studying it reveals very clearly that ‘The theme of Scotland's partial integration into the British state’ and the way in which it ‘was never wholly successful’, goes back to the very start of the eighteenth century.

Study on Slope Slide Real-Time Monitoring System in Guangdong Using GPS/CORS Integration Technique

2011 ◽  
Vol 13 (4) ◽  
pp. 562-570 ◽  
Author(s):  
Pingxin WEI ◽  
Chenggang LI ◽  
Feng XU ◽  
Xiaochun SHI
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Integration Technique ◽  
Real Time Monitoring

Real-time Approximation of Photometric Polygonal Lights

2020 ◽  
Vol 3 (1) ◽  
pp. 1-18
Author(s):  
Christian Luksch ◽  
Lukas Prost ◽  
Michael Wimmer
Keyword(s):  
Real Time ◽  
Specular Reflection ◽  
Near Field ◽  
Measurement Data ◽  
Data Sets ◽  
Photometric Measurement ◽  
Integration Technique ◽  
Time Approximation ◽  
Light Emitter ◽  
Selection Of

We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.

scholarly journals Quadrature Integration Techniques for Random Hyperbolic PDE Problems

Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 160
Author(s):  
Rafael Company ◽  
Vera N. Egorova ◽  
Lucas Jódar
Keyword(s):  
Numerical Methods ◽  
Laplace Transform ◽  
Quadrature Rule ◽  
Inverse Laplace Transform ◽  
Process Time ◽  
Efficient Computation ◽  
Hyperbolic Pde ◽  
Numerical Convergence ◽  
Laplace Transform Technique ◽  
Integration Techniques

In this paper, we consider random hyperbolic partial differential equation (PDE) problems following the mean square approach and Laplace transform technique. Randomness requires not only the computation of the approximating stochastic processes, but also its statistical moments. Hence, appropriate numerical methods should allow for the efficient computation of the expectation and variance. Here, we analyse different numerical methods around the inverse Laplace transform and its evaluation by using several integration techniques, including midpoint quadrature rule, Gauss–Laguerre quadrature and its extensions, and the Talbot algorithm. Simulations, numerical convergence, and computational process time with experiments are shown.

Sign in / Sign up

Export Citation Format

Share Document