Wyniki wyszukiwania - BazTech

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SFMToolbox: an ArcGIS Python Toolbox for Automatic Production of Maps of Soil Fertility

Velamala Ranga Rao, Pant Pawan Kumar

Geomatics and Environmental Engineering

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2023

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Vol. 17, no. 2

105--145

EN

SFMToolbox is an ArcGIS Python toolbox developed in ArcGIS Desktop (ArcMap) to perform preprocessing tasks for the automatic creation of maps of soil fertility parameters. Through SFMToolbox, users can automatically produce 12 soil fertility parameter maps as a batch at one time. It is easy to use, where users can only provide input; the output files are automatically created from the name of the sample point and saved in the defined workspace. During the execution of the tools, various processes, such as Inverse Distance Weighted (IDW) – a technique of interpolation, reclassification, adding color, merging, projection, area calculation, and legend are done automatically for all 12 parameters at the same time. The SFMToolbox was validated as part of the following case study: village – Kashipur, tehsil – Balrampur, district – Balrampur, state – Uttar Pradesh, Country – India. The results show that the user can quickly generate maps and save time, improve accuracy, and reduce human intervention and ensure uniformity among maps. This toolbox also applied to Cycle II data from the Government of India’s Soil Health Card (SHC) scheme and timely produced 12-parameters soil nutrient maps for 630 districts in a uniform format. The toolbox may be used by public and private organizations to make timely decisions on agricultural and environmental issues.

2

Implementation of Type-2 Fuzzy Controller in Matlab Software

Dominik Ireneusz, Flaga Stanisław

Advances in Science and Technology. Research Journal

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2023

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Vol. 17, no 5

374--384

EN

The purpose of this work is to create a Matlab toolbox that makes it easy and accessible to get acquainted with a novel control method called type-2 fuzzy controller. A toolbox for working with type-1 controllers can be found in the Simulink package, while there is only few, simple toolboxes for type-2 fuzzy controllers. The article describes the details of the created software, which allows you to work both with simulation objects, but also enables you to create program code for an PLC industrial controller. This gives you the opportunity to work in a simulation environment with a model of the control object and then, after tuning the controller, to automatically implement the controller to control the real object. In the literature, you can find many methods for reducing type-2 to type-1 fuzzy logic, but most often they are compared to several well-known classical reduction methods, such as the KM algorithm. There is no compilation of the most popular methods and a comparison of their performance. With the new toolbox it was possible to quickly create and add new reduction methods so in the article an analysis of 16 reduction methods is also presented.

3

Map construction and localization using Lego Mindstorms NXT

Singh J., Bedi P.

Journal of Automation Mobile Robotics and Intelligent Systems

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2013

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Vol. 7, No. 3

22--30

EN

Maps are very useful for understanding unknown places before visiting them as maps represent spatial relationships between various objects in a region. Using robots for map construction is an important field these days as robots can reach places which may be inaccessible to human beings. This paper presents a method to use the data obtained from a single ultrasonic sensor mounted on a robot, to construct a map and localize the robot within that map. Map of the previously unknown environment is created with the help of a mobile robot, built using Lego Mindstorms NXT assembled in a modified TriBot configuration. The robot is equipped with an ultrasonic sensor and is controlled from a computer system running a MATLAB program, which communicates with the NXT over a USB or Bluetooth connection and performs complex calculations that are not possible for the NXT itself. After the map construction, the robot finds its position in the map by using a particle filter. Implementation has been done in MATLAB programming environment using RWTH – Mindstorms NXT Toolbox and has been successfully tested for map construction of a room and localization within that room with the use of a TriBot.

4

System identification toolbox and neural network toolbox using to searching discovery on electric power market

Tchórzewski J., Gawinkowski M., Korzeniowski M.

Poznan University of Technology Academic Journals. Electrical Engineering

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2007

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No 53

75-88

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The use of the electric and electronic equipment - pilot in the ecodesign toolbox for the development of green product concepts

Pamminger R., Huber M., Wimmer W.

Prace Przemysłowego Instytutu Elektroniki

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2006

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nr 153

11-19

EN

In order to enable enterprises to fulfill the two directives WEEE and RoHS, a practical tool has been created- the Electric and Electronic Equipment-PILOT (EEE-PILOT). In which first information over the frameworks of the directives are mentioned and target groups, validity and deadlines for reports are given. The EEE-PILOT is a software tool, which helps product developers finding suitable strategies and measures in order to improve a product in such a way that they fulfill the requirements of the WEEE and the RoHS directive. The EEE-PILOT is a tool within the framework of the ECODESIGN Toolbox for the development of Green Product Concepts.

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A symbolic computation toolbox for the design of dynamical adaptive nonlinear controllers

Rios-Bolivar E. M., Zinober A. S. I.

Applied Mathematics and Computer Science

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1998

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Vol. 8, no 1

73-88

EN

We describe a new symbolic computation toolbox BACKDSMC developed using the MATLAB Symbolic Toolbox and intended for the design of dynamical adaptive nonlinear controllers for regulation and tracking tasks of a class of observable minimum phase uncertain nonlinear systems. This toolbox also allows us to design non-adaptive controllers for systems without uncertainty, and adaptive sliding mode controllers (SMC) to provide robustness in the presence of disturbances. The design procedure employs the basic ideas of the adaptive backstepping algorithm with tuning functions via input-output linearization, and is applicable to both triangular and nontriangular systems.