scholarly journals Family of wavelet functions on the Galois function base

2016 ◽  
Vol 8 (2) ◽  
pp. 295-304
Author(s):  
N.V. Prevysokova
Keyword(s):  
Function Base

We construct a family of wavelet systems on the Galois function base. We research and prove properties of systems of the built family.

The Scheduling Frame Research Facing Rapid Response Manufacturing

2012 ◽  
Vol 220-223 ◽  
pp. 78-82
Author(s):  
Zhi Bing Lu ◽  
Ai Min Wang ◽  
Cheng Tong Tang ◽  
Jing Sheng Li
Keyword(s):  
Dynamic Scheduling ◽  
Current Situation ◽  
Rapid Response ◽  
Practical Situation ◽  
Manufacturing Information ◽  
Technical Function ◽  
Function Base ◽  
Scheduling Models ◽  
Automatic Scheduling

The current environment is experiencing a transformation from multi varieties and little batch to multi varieties and batch, this situation has result that companies’ management do not suite it. According to this the scheduling frame research facing rapid response manufacturing has been proposed. At first through this analyzing the problem in current situation, the whole scheduling frame is researched. Secondly, many models that can be used in this frame have been discussed such as manufacturing information, disturbance events, automatic scheduling and dynamic scheduling models. Finally the whole scheduling platforms which can be used in practical situation has been proposed and make a technical function base for current manufacturers.

scholarly journals A Simple Analytical Model for Estimating the Dissolution-Driven Instability in a Porous Medium

Fluids ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 60
Author(s):  
Layachi Hadji
Keyword(s):  
Stability Problem ◽  
Three Dimensional ◽  
Step Function ◽  
New Approach ◽  
Engineering Mathematics ◽  
Alternative Approach ◽  
Function Base ◽  
The Stability ◽  
Rayleigh Benard ◽  
Profile Approach

This article deals with the stability problem that arises in the modeling of the geological sequestration of carbon dioxide. It provides a more detailed description of the alternative approach to tackling the stability problem put forth by Vo and Hadji (Physics of Fluids, 2017, 29, 127101) and Wanstall and Hadji (Journal of Engineering Mathematics, 2018, 108, 53–71), and it extends two-dimensional analysis to the three-dimensional case. This new approach, which is based on a step-function base profile, is contrasted with the usual time-evolving base state. While both provide only estimates for the instability threshold values, the step-function base profile approach has one great advantage in the sense that the problem at hand can be viewed as a stationary Rayleigh–Bénard problem, the model of which is physically sound and the stability of which is not only well-defined but can be analyzed by a variety of existing analytical methods using only paper and pencil.

scholarly journals Perbandingan Kinerja Model Klasifikasi Decission Tree , Bayesian Classifier, Instance Base, Linear Function Base, Rule Base pada 4 Dataset Berbeda

2019 ◽  
Vol 5 (1) ◽  
pp. 70-78
Author(s):  
T Yudi Hadiwandra
Keyword(s):  
Linear Function ◽  
Bayesian Classifier ◽  
Rule Base ◽  
Missing Value ◽  
Model Instance ◽  
Function Base

Ada banyak metode klasifikasi yang telah dikembangkan namun kinerjanya selalu berbeda dari satu masalah ke masalah lain. Perlu dilakukan suatu upaya untuk memilih model klasifikasi yang relatif optimal, salah satunya dengan membandingkan kinerja beberapa algoritma dari beberapa kelas model berbeda menggunakan beberapa dataset dengan karakteristik yang berbeda pula sehingga dapat memberikan gambaran tentang kelas model mana yang relatif optimal untuk dipilih sebagai tahap awal dalam memilih algoritma yang akan diterapkan. Pada makalah ini dibandingkan kinerja metode klasifikasi dari model Decission Tree, Bayesian Classifier, Instance Base, Linear Function Base dan Rule Base menggunakan 4 dataset yang berbeda karakteristiknya.  Dari hasil pengujian diperoleh kesimpulan bahwa model Instance Base dan Decission Tree lebih robust dibanding kelas model lainnya bila diberi dataset yang mengandung noise dan missing value. Accuracy model Bayesian lebih stabil dibanding kelas model lainnya apabila diberi dataset dengan jumlah atribut yang lebih banyak. Semua kelas model mempunyai scalability yang baik dan mampu meningkatkan accuracy bila diberi jumlah record yang lebih besar. Kelas model Linear Function dan Decission Tree membutuhkan waktu training yang relatif lebih lama dibanding model lainnya, namun membutuhkan waktu testing yang relatif lebih cepat dibanding model lainnya. Secara umum kelas model Decission Tree lebih unggul dibanding kelas model lainnya

Pulmonary vascular permeability and resistance measurements in control and ANTU-injured dog lungs

1989 ◽  
Vol 256 (6) ◽  
pp. H1711-H1718 ◽  
Author(s):  
R. C. Allison ◽  
B. Rippe ◽  
V. R. Prasad ◽  
J. C. Parker ◽  
A. E. Taylor
Keyword(s):  
Vascular Permeability ◽  
Repeated Measurements ◽  
Endothelial Barrier ◽  
Control Group ◽  
Base Line ◽  
Occlusion Pressure ◽  
Endothelial Barrier Function ◽  
Pulmonary Vascular Permeability ◽  
Line Measurement ◽  
Function Base

Because questions have arisen regarding pulmonary vascular permeability and resistance measurements in isolated, perfused lungs, we sought to determine the 1) stability of repeated measurements of permeability and resistance in control lungs; and 2) magnitude of change in these measurements when permeability was greatly increased. Using blood-perfused dog lungs, we measured filtration coefficient (Kf) and isogravimetric capillary pressure (Pci) as indexes of vascular permeability, and we also determined total vascular resistance (Rt) as well as the segmental resistances using the double-occlusion pressure (Pdo). In a control group (n = 8), the base-line measurement of Kf (0.21 +/- 0.02 ml.min-1.cmH2O-1.100 g-1) and Pci (10.2 +/- 0.9 cmH2O) did not change over 4 h, indicating no changes in endothelial barrier function. Base-line Rt (13.9 +/- 2.6 cmH2O.l-1.min.100 g) also did not significantly increase. In a second group (n = 5), alpha-naphthylthiourea (ANTU) increased the initial Kf more than eight times (from 0.17 +/- 0.03 to 1.40 +/- 0.32 ml.min-1.cmH2O-1.100 g-1) and decreased Pci by 56% (from 9.4 +/- 0.6 to 4.1 +/- 0.4 cmH2O) at 1 h, indicating severely damaged endothelium. In addition, the Pdo determined during isogravimetric conditions correlated very well with Pci not only in control lungs (observed previously) but also in very permeable lungs (not previously reported). We conclude that this experimental model provides an excellent means of assessing changes in pulmonary microvascular permeability, with a spectrum ranging from no changes in hourly measurements for 4 h to obvious changes in permeability by 1 h.

scholarly journals Research on Publishing CIM Model Change Events through OPC UA

2018 ◽  
Vol 176 ◽  
pp. 03004
Author(s):  
Zewu Peng ◽  
Churan Deng ◽  
Bojian Wen ◽  
Qingping Xu
Keyword(s):  
Semantic Change ◽  
Address Space ◽  
Distribution Grid ◽  
Event Type ◽  
Service Function ◽  
Data Platform ◽  
Change Events ◽  
Change Notification ◽  
Function Base ◽  
Change Event

This paper studies how to publish the change events of CIM model using OPC UA, and proposes a method to publish CIM model change events using OPC UA based on mapping CIM model to OPC UA address space. By comparing with the CIS GDA model change notification service function in the legacy CIS interface, it is confirmed that the OPC UA service completely covers the original CIS GDA model change notification service function. Base-Model-Change-Event-Type and the more detailed General-Model-Change-Event-Type, Semantic-Change-Event-Type are used to provide appropriate model change information for clients through OPC UA Event service. CIM model change events in data platform of distribution grid and utilization system are published using OPC UA, the research results have been verified.

Video logarithmic tone mapping operator with automatic calculation of the logarithmic function base

2021 ◽  
Author(s):  
Cedric Walbrecq ◽  
Isabelle Marc ◽  
Baptiste Magnier ◽  
Dominique Lafon-Pham
Keyword(s):  
Tone Mapping ◽  
Logarithmic Function ◽  
Automatic Calculation ◽  
Function Base
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