scholarly journals GROWING HEARTS IN ASSOCIATIVE SYSTEMS

2012 ◽  
Vol 11 (05) ◽  
pp. 1250083 ◽  
Author(s):  
JOSÉ A. ANQUELA ◽  
TERESA CORTÉS
Keyword(s):  
Original System ◽  
Module Structure ◽  
Good Module

We show that associative systems with a sufficiently good module structure imbed in a primitive system with simple primitive heart, spanned by the original system and the heart, so extending the results of J. Pure Appl. Algebra 181 (2003) 131–139 to systems over more general rings of scalars. We also study associative systems with involution.

Clustering Techniques for Software Engineering

2016 ◽  
Vol 4 (2) ◽  
pp. 465 ◽  
Author(s):  
Shohag Barman ◽  
Hira Lal Gope ◽  
M M Manjurul Islam ◽  
Md Mehedi Hasan ◽  
Umme Salma
Keyword(s):  
Software Engineering ◽  
Research Direction ◽  
Maintenance Cost ◽  
Software Systems ◽  
Module Structure ◽  
Result Section ◽  
Clustering Techniques ◽  
Software Clustering ◽  
Good Module ◽  
Industrial Software

<p>Software industries face a common problem which is the maintenance cost of industrial software systems. There are lots of reasons behind this problem. One of the possible reasons is the high maintenance cost due to lack of knowledge about understanding the software systems that are too large, and complex. Software clustering is an efficient technique to deal with such kind of problems that arise from the sheer size and complexity of large software systems. Day by day the size and complexity of industrial software systems are rapidly increasing. So, it will be a challenging task for managing software systems. Software clustering can be very helpful to understand the larger software system, decompose them into smaller and easy to maintenance. In this paper, we want to give research direction in the area of software clustering in order to develop efficient clustering techniques for software engineering. Besides, we want to describe the most recent clustering techniques and their strength as well as weakness. In addition, we propose genetic algorithm based software modularization clustering method. The result section demonstrated that proposed method can effectively produce good module structure and it outperforms the state of the art methods. </p>

The Separation of Thromboplastin Formed from Pig’s Plasma in the Thromboplastin Generation Test

1962 ◽  
Vol 08 (03) ◽  
pp. 485-501
Author(s):  
M. J Cross
Keyword(s):  
Original System ◽  
Factor V ◽  
Generation System ◽  
Thromboplastic Activity ◽  
Generation Test

Summary1. Plasma thromboplastin has been formed from a mixture of pigs’ plasma, serum and platelets using a modification of the thromboplastin generation system of Biggs and Douglas (1953). The thromboplastic activity in the modified system was more stable than in the original system.2. A sediment with considerable thromboplastic activity has been obtained by centrifugation. This sediment was free of platelets and contained very little thrombin.3. The sediment when resuspended in buffer was fully active only in the presence of calcium and between pH 6.6 and 7.0. The activity slowly decreased at 0—4° C and rapidly at 65° C.4. The sediment rapidly converted prothrombin to thrombin in the absence of factor V.5. The activity of the sediment was unaffected when it was incubated with thrombin.

Effect of OCA properties on foldable AMOLED panel with a module structure

2019 ◽  
pp. 1627
Author(s):  
Yali Liu ◽  
Yongzhen Jia ◽  
Zhengzhou Liu ◽  
Di Wu ◽  
Haoqun Li ◽  
...  
Keyword(s):  
Module Structure

Algorithm for detecting module structure in complex networks based on node type

2009 ◽  
Vol 28 (10) ◽  
pp. 2590-2593
Author(s):  
Wei SHI ◽  
Zheng ZHAO ◽  
Gui-xiang XUE
Keyword(s):  
Complex Networks ◽  
Module Structure ◽  
Node Type

Model Order Reduction of Transmission Line Model

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Transmission Line ◽  
Large Scale ◽  
Original System ◽  
Reduced Order Model ◽  
Benchmark Problems ◽  
Transmission Line Model ◽  
Order Model ◽  
Line Model ◽  
Reduced Order ◽  
Numerical Effort

Transmission Line model are an important role in the electrical power supply. Modeling of such system remains a challenge for simulations are necessary for designing and controlling modern power systems.In order to analyze the numerical approach for a benchmark collection Comprehensive of some needful real-world examples, which can be utilized to evaluate and compare mathematical approaches for model reduction. The approach is based on retaining the dominant modes of the system and truncation comparatively the less significant once.as the reduced order model has been derived from retaining the dominate modes of the large-scale stable system, the reduction preserves the stability. The strong demerit of the many MOR methods is that, the steady state values of the reduced order model does not match with the higher order systems. This drawback has been try to eliminated through the Different MOR method using sssMOR tools. This makes it possible for a new assessment of the error system Offered that the Observability Gramian of the original system has as soon as been thought about, an H∞ and H2 error bound can be calculated with minimal numerical effort for any minimized model attributable to The reduced order model (ROM) of a large-scale dynamical system is essential to effortlessness the study of the system utilizing approximation Algorithms. The response evaluation is considered in terms of response constraints and graphical assessments. the application of Approximation methods is offered for arising ROM of the large-scale LTI systems which consist of benchmark problems. The time response of approximated system, assessed by the proposed method, is also shown which is excellent matching of the response of original system when compared to the response of other existing approaches .

A Very Simple Method to Calculate the (Positive) Largest Lyapunov Exponent Using Interval Extensions

2016 ◽  
Vol 26 (13) ◽  
pp. 1650226 ◽  
Author(s):  
Eduardo M. A. M. Mendes ◽  
Erivelton G. Nepomuceno
Keyword(s):  
Lyapunov Exponent ◽  
Lower Bound ◽  
Equations Of Motion ◽  
Original System ◽  
Glass System ◽  
Largest Lyapunov Exponent ◽  
Simple Method ◽  
Interval Extensions

In this letter, a very simple method to calculate the positive Largest Lyapunov Exponent (LLE) based on the concept of interval extensions and using the original equations of motion is presented. The exponent is estimated from the slope of the line derived from the lower bound error when considering two interval extensions of the original system. It is shown that the algorithm is robust, fast and easy to implement and can be considered as alternative to other algorithms available in the literature. The method has been successfully tested in five well-known systems: Logistic, Hénon, Lorenz and Rössler equations and the Mackey–Glass system.

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