UPQC consists of two voltage source converter (VSC), known as series VSC and shunt VSC. By placing shunt VSC about series VSC, the UPQC topology can be classified. If parallel connected VSC is situated to the left part of the series connected VSC, then UPQC topology is named as UPQC-L and if parallel connected VSC is situated to the right part of the series connected VSC, then UPQC topology is named as UPQC-R. Here, the two topologies of UPQC such as UPQC-L and UPQC-R with their performances are examined in terms of power quality improvement. Conservative PI and SRF theory control approaches are employed for both the UPQC topologies. These UPQC topologies have been modeled in MATLAB/SIMULINK background of sim power devices under non-linear load circumstances. On comparison of %THD in supply current and load voltage for the UPQC-L and UPQC-R system topologies, it has been found that UPQC-R topology illustrates less %THD which indicates superior aspects in terms of power quality improvement.

The study was undertaken to identify and characterize wetlands with a view to exploring them for productive activities in Ede region, Southwestern Nigeria. Data for the study was collected from primary and secondary sources. Global Positioning System (GPS) which equally served as primary source of data was utilized for ground truthing and also to obtain coordinates of wetlands. Topographic map (1962) which served as secondary data was digitized and a point map of wetlands created. Plants samples were collected and taken to the herbarium for identification. The wetlands in Ede Region generally, were characterized by standing water or shallow inundations or saturation at near the surface, hydromorphic soils and the presence of hydrophytes as the dominant plant species which was in concordance with The Committee on Characterization of Wetlands. Therefore, based on these characteristics, three types of wetlands were identified: riverine, lacustrine and palustrine system. They could offer opportunities for technological innovations in water supply, fish farming, cattle ranching throughout the year, cultivation of maize three times in a year, yam twice a year and rice three times in a year which could create jobs and stem the rising unemployment, reduce poverty incidence and make significant progress in achieving the MDGs and sustainable development.

It has long been established that the similarity and regularity in the behavior of significant aspects of natural watercourses, especially their geomorphology and hydraulics, depend not only on their dynamical laws, but also (and above all) on the laws of thermodynamics (especially the Second Law). This occurs if the production of entropy is as small and uniform as possible; however, this, which is related to the linear regime of irreversibility, is generally interpreted from the point of view of point mechanics, entailing great analytical difficulties. We present a non-local approach, which allows a more direct understanding (and calculation), using thermodynamic concepts, avoiding the use of structural models, to the calculation of the rate of entropy production for natural flows in a stable state.

In recent days, the term big data become popular and it refers to data heterogeneity and massive quantity which gets updated and multiplied in every fraction of second. This paper discusses the application of big data and its impact on medical domain. It is noted that the usage of big data models and methods are seamlessly using in the management of exponential data growth in healthcare domain. Presently, it is complex to visualize how machine learning and big data will have impact on the medical field. At the same time, there is a significant increment in the number of persons suffers from diabetes mellitus (DM) in various healing centers. This study develops a new map reduce based optimal data classifier (MRODC) technique to diagnose DM in an efficient way. The presented MRODC model involves different stages of Hadoop echo system, data acquisition and classification based on gradient boosting tree (GBT). To further improvising the classifier results of the GBT, improved k-means clustering approach is integrated to it. A detailed experimentation takes place on the benchmark PIMA Indians Diabetes dataset under several aspects. The obtained simulation outcome depicted that the presented MRODC model produces consistently better results over the compared methods with a maximum precision of 99.23, recall of 97.48, accuracy of 97.79, F-score of 98.34 and kappa value of 95.02 respectively.

Let $T=U|T|$ be the polar decomposition of an operator $T$. For $s,t\\geq0$ with $s+t=1$,\nthe $(s,t)$-Aluthge transform is defined by $\\Dst(T)=|T|^sU|T|^t$. In this paper, we shall\ndiscuss the numerical range of $\\Dst(T)$ and show that $w(\\Dst(T))\\leq w(T)$ and if $T$\nis an $n\\times n$ matrix, then $\\overline{W(\\Dst(T))}\\subset \\overline{W(T)}$. Moreover, among other things\nby applying the generalized Aluthge transform of operators, we establish some inequalities involving the numerical radius.\nAlso, we establish some upper bounds for the numerical radius of $2\\times 2$ operator matrices.

The study, based on the use of both general theoretical and branch scientific provisions, in particular tax law, proposes to develop basic approaches to the methodology of conceptual and categorical apparatus of tax law in the conditions of modern development of Ukraine, taking into account the social, economic and legal development of society in general.

Now a day, RENEWABLE energy sources based mechanism is utilized to attain the enhancement in power demands and also to decrease the global warming. The solar energy is the major substitute amongst several renewable energy resources. However, the solar panel mechanism converts only 40–50% of solar irradiation into electrical energy. A research has been done to access the performance of the PV mechanism to attain the maximum outcome from a PV panel mechanism and also to examine several problems associated with the utilization of solar PV mechanism efficiently. In this work hybridization of Fuzzy and PID controller is applied and for the optimal values of PID controller, a BAT optimization approach is used in order to conquer the issues of previous work. The simulation results have been obtained by utilizing MATLAB/SIMULINK software.