Wyniki 1-2 spośród 2 dla zapytania: authorDesc:"OğUZ AKPOLAT"

A Virtual Measuring Devices Application for Chemistry Laboratories DOI:10.15199/13.2018.10.5

  The chemical industry, which has a wide range of complex systems, now requires faster and stronger control systems, and computer based control systems have become an inevitable platform for rapid and precise control of chemical processes. The advanced, powerful and user-friendly programming space allows engineers to process controller designs directly on real systems through these tools in minimum time and cost. MATLAB® and LabVIEW® are the most powerful and useful software among those of being improved. MATLAB® is a powerful mathematical tool that enables us to use practiced controller design tools and to simulate physical, chemical or biological processes on the facility like Simulink® part. However, through MATLAB®, it is not an easy task to design interface control equipment such as measuring devices and control valves. Whereas, LabVIEW® is among the best software to communicate with hardware on PC-based systems and, is one of the most usable and suitable software terms of signal processing capability and signaling to correspond to the last control element (1, 2, 3, 4). One of the most encountered measures in chemistry labora[...]

Clustering of some Liquidambar orientalis samples according to essential oil compositions DOI:10.15199/13.2018.10.7

  Determination of cause-effect relationships among experimental data in chemistry needs principles of statistics, classification of these data needs data mining methods, realization of the experiments more effectively needs experimental design methods and consequently modeling and optimization techniques, and application of all these studies needs computer hardware, software, algorithms or some software packages. The main interest in the issues of data mining is classification, forecasting, segmentation/clustering and identification. Similar to economics, medicine and many other areas, from lots of references it is understood that clustering process is used to the evaluation of the data collected scientific and technological researches, for example, origins determination of chemistry products, metals, compounds, creatures by peculiarities of physical, biological or chemical identification [1, 2]. At some studies in the field of food and chemical analysis it is encountered clustering analysis technics. The first of these is related to determination of properties and classification of honey samples collected from different regions of Canary Islands using by different multivariate statistical techniques, and here the samples were characterized depending on their Na, K, Sr, Mg, Ca and Cu contents by principal component and clustering analysis technics. In this work it was also explained that they could separate Canary Honey from others depending on their metal contents [3]. In another study to determine features a variety of parasites from fish caught salmon, three different types of parasites as Gyrodactylus salaris, Gyrodactylus derjavini and Gyrodactylus trutta were found by the principal component analysis to chemical analysis results of fatty acids [4]. Voncina and friends practiced on the principal component analysis to characterize the fatty acid content of the main components for the classification of vegetable oils. In th[...]

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