scholarly journals State feedback linearization using block companion similarity transformation

2021 ◽  
Vol 10 (2) ◽  
pp. 658-667
Author(s):  
Kessal Farida ◽  
Hariche Kamel ◽  
Bentarzi Hamid ◽  
Boushaki Razika
Keyword(s):  
Feedback Linearization ◽  
State Feedback ◽  
Similarity Transformation ◽  
Research Work ◽  
Multivariable System ◽  
Similarity Transformations ◽  
State Dependent ◽  
Linearized System ◽  
Determine System ◽  
The Given

In this research work, a new method is proposed for linearizing a class of nonlinear multivariable system; where the number of inputs divides exactly the number of states. The idea of proposed method consists in representing the original nonlinear system into a state-dependent coefficient form and applying block similarity transformations that allow getting the linearized system in block companion form. Because the linearized system’s eigenstructure can determine system performance and robustness far more directly and explicitly than other indicators, the given class multivariable system is chosen. Examples are used to illustrate the application and show the effectiveness of the given approach.

Lassa hemorrhagic fever model using new generalized Caputo-type fractional derivative operator

2021 ◽  
pp. 2150055
Author(s):  
Pushpendra Kumar ◽  
Vedat Suat Erturk ◽  
Abdullahi Yusuf ◽  
Tukur Abdulkadir Sulaiman
Keyword(s):  
Pregnant Women ◽  
Fractional Order ◽  
Research Work ◽  
Hemorrhagic Fever ◽  
Hemorrhagic Disease ◽  
Lassa Virus ◽  
Research Fields ◽  
Negative Impacts ◽  
Predictor Corrector ◽  
The Given

In some of the previous decades, we have observed that mathematical modeling has become one of the most interesting research fields and has attracted many researchers. In this regard, thousands of researchers have proposed different varieties of mathematical models to study the dynamics of a number of real-world problems. This research work is framed to analyzing the structure of the well-known Lassa hemorrhagic epidemic; a dangerous epidemic for pregnant women, via new generalized Caputo type noninteger order derivative with the help of a modified Predictor–Corrector scheme. Lassa hemorrhagic disease is an epidemical and biocidal fever, whose negative impacts were initially recognized in the countries of Africa. This virus has killed many pregnant women as compared to the Ebola epidemic. It was noticed that Lassa virus was isolated in Vero cell cultures from a blood pattern, and after 12 days it was ejective, after the climb of the sickness. In this research study, necessary theorems and lemmas are reminded to prove the existence of a unique solution and stability of given fractional approximation scheme. All necessary results are reminded to confirm the effectiveness of the proposed approximation algorithm by graphical observations for various fractional-order values. In our practical calculations, we plotted the graphs for two different values of natural death rate along with various values of given fractional-order operator. Our major target is to show the importance of the proposed modified version of the Predictor–Corrector algorithm in epidemic studies by exploring the given Lassa hemorrhagic fever dynamics.

Floristic Diversity of Asan Wetland, Uttarakhand: A Checklist

2017 ◽  
Vol 40 (2) ◽  
pp. 133-137
Author(s):  
Mohit Kumar Singh ◽  
◽  
A.K. Tripathi ◽  
V. Jeeva ◽  
Sumer Chandra ◽  
...  
Keyword(s):  
Eichhornia Crassipes ◽  
Aquatic Macrophyte ◽  
Research Work ◽  
Hydrilla Verticillata ◽  
Grass Species ◽  
Floristic Diversity ◽  
Tall Grass ◽  
Resistant Species ◽  
The Given ◽  
Support Research

Asan wetland is a man-made wetland located in Uttarakhand state. In the given study, efforts have been made to study the floristic diversity and species composition of the aquatic macrophyte in Asan wetland and provide a check list. Sixty seven species were recorded under 32 families being maximum in Cyperaceae followed by Poaceae and Asteraceae. Remaining families comprised either one or two species each. Among all the recorded species, monocots (54%) were dominated over dicots (42%) and remaining 4% comprised ferns. Herbaceous macrophytes were found growing abundantly (54%) which are followed in degree of prevalence by the grasses (21%), sedges (18%), shrubs (4%) and climbers (3%). In addition, this study also revealed that pollution resistant species like Bacopa monnieri, Hydrilla verticillata, Vallisneria spiralis and Eichhornia crassipes along with tall grass species which grow in shallow water are spreading considerably that indicates an increasing pollution in the wetland. The present study will provide an important set of informations to support research work like limnological studies, productivity, conservation and management programs of this wetland.

scholarly journals Formations of Silicon Carbide and Epoxy Matrix Radiator: An Experimental Design, Dimension and Formulations

2019 ◽  
Vol 9 (1) ◽  
pp. 1793-1796
Keyword(s):  
Heat Transfer ◽  
Silicon Carbide ◽  
Experimental Design ◽  
Epoxy Resin ◽  
Epoxy Matrix ◽  
Research Work ◽  
Heat Transfer Analysis ◽  
The Given ◽  
Design Dimension

The greatest dealon the article have to approach the experimental design, dimensions and formulations in Silicon Carbide and Epoxy Matrix Radiator. The experiment prepared as per the fabrication chart behind that known about the characterization of material and proposal layout of fabrication work. Among the research work, concentrated the formation of silicon carbide epoxy matrix radiator in the given configuration and composition prepared as a high thermal conductive Epoxy resin is mixed at the ratio of 20wt% of epoxy resin 80% of Silicon Carbide. As silicon carbide has higher thermal conductivity and lowerthermal expansion than Aluminium and then the experimented result determined by the rate of heat transfer analysis such as the mode of heat transfer like Conduction, Convection and Radiation of the materials (Aluminium 6061 and Sic + Epoxy Resin). The following heat transfer characteristics formulated and calculated as per the given design, dimension and configuration of the materials.

scholarly journals An Efficient SMOTE-Based Deep Learning Model for Heart Attack Prediction

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Muhammad Waqar ◽  
Hassan Dawood ◽  
Hussain Dawood ◽  
Nadeem Majeed ◽  
Ameen Banjar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Heart Attack ◽  
High Reliability ◽  
Learning Algorithms ◽  
Research Work ◽  
Machine Learning Algorithms ◽  
Feature Engineering ◽  
Unequal Distribution ◽  
The Given

Cardiac disease treatments are often being subjected to the acquisition and analysis of vast quantity of digital cardiac data. These data can be utilized for various beneficial purposes. These data’s utilization becomes more important when we are dealing with critical diseases like a heart attack where patient life is often at stake. Machine learning and deep learning are two famous techniques that are helping in making the raw data useful. Some of the biggest problems that arise from the usage of the aforementioned techniques are massive resource utilization, extensive data preprocessing, need for features engineering, and ensuring reliability in classification results. The proposed research work presents a cost-effective solution to predict heart attack with high accuracy and reliability. It uses a UCI dataset to predict the heart attack via various machine learning algorithms without the involvement of any feature engineering. Moreover, the given dataset has an unequal distribution of positive and negative classes which can reduce performance. The proposed work uses a synthetic minority oversampling technique (SMOTE) to handle given imbalance data. The proposed system discarded the need of feature engineering for the classification of the given dataset. This led to an efficient solution as feature engineering often proves to be a costly process. The results show that among all machine learning algorithms, SMOTE-based artificial neural network when tuned properly outperformed all other models and many existing systems. The high reliability of the proposed system ensures that it can be effectively used in the prediction of the heart attack.

scholarly journals Economical assessment of an investment related to the establishment of a new farrowing place and pig-rearing building

2019 ◽  
Vol 7 (1-2) ◽  
pp. 115-120
Author(s):  
Brigitta Zsótér ◽  
Ágnes Milojev
Keyword(s):  
Net Present Value ◽  
Research Work ◽  
The State ◽  
Point Of View ◽  
Bank Credit ◽  
Internal Rate Of Return ◽  
Present Value ◽  
Payback Time ◽  
Pig Farm ◽  
The Given

In our research work we aimed at carrying out an economical assessment of an investment and development of substantial volume. The examined project was completed at a pig-farm during which a new farrowing place and pig rearing building were built, as well as the renovation of the existing pig-farm. All of them were financed partly from the firm’s own source, partly from a non-repayable aid granted by the state, and finally from a credit granted by a commercial bank. The term of the credit is 10 years and the return of the investment expected by the investors is 8%, so we carried out our calculations according to these data. We examined the three possible ways of financing the investment from the economical point of view, as a result we proposed three hypotheses. Our hypotheses are: Hypothesis 1 (Case „A”): The investment will be financially recovered within the examined period of 10 years if it is financed from the firm’s own source, the state grant and the bank credit. Hypothesis 2 (Case „B”): The investment can be economically completed within the given period of time if the project meets the costs from the firm’s own source and the credit. Hypothesis 3 (Case „C”): The investment will be economically accomplished within the examined 10 years provided the firm finances the project from their own source and the state grant. In our calculations we used the net present value (NPV), the internal rate of return (IRR), the payback time (PB), the discounted payback time (DPB) and the profitability index (PI) as economy indicators. We carried out our calculations regarding 10 years to be able to compare the results since the term of the granted credit is 10 years, too.  

The Fundamentals of Medical Image Restoration

2019 ◽  
pp. 81-99
Author(s):  
Kirti Raj Bhatele ◽  
Devanshu Tiwari
Keyword(s):  
Remote Sensing ◽  
Image Restoration ◽  
Relative Motion ◽  
Optical System ◽  
Research Work ◽  
Aerial Photographs ◽  
Degradation Model ◽  
Blurring Effect ◽  
The Given ◽  
Noise Models

This chapter simply encapsulates the basics of image restoration, various noise models, and degradation model including some blur and image restoration filters. The mining of high resolution information from the low-resolution images is a very vital task in several applications of digital image processing. In recent times, a lot of research work has been carried out in this field in order to improve the resolution of real medical images especially when the given images are corrupted with some kind of noise. The displayed images are the result of the various stages that might cause imperfections in the digital images, for instance the so-called imaging and capturing process can itself degrade the original scene. The imperfections present in the image need to be studied and analyzed if the noise present in the images is not modelled properly. There are different types of degradations which are considered such as noise, geometrical degradations, imperfections (due to improper illumination and color), and blur. Blurring in the images is generally caused by the relative motion between the camera and the original object being captured or due to poor focusing of an optical system. In the production of aerial photographs for remote sensing purposes, blurs are introduced by the atmospheric turbulence, aberrations in the optical system, and relative motion between the camera and the ground. Apart from the blurring effect, noise also creates imperfections in the images that corrupt the images under analysis. The noise may be introduced by several factors (e.g., medium, recording or capturing system, or by the quantization process). Due to this noise or blur present in the images, resolution needs to be improved and the image is to be restored from the geometrically warped, blurred, and noisy images.

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