ACS Applied Computer Science

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vol. 14, no. 1,2018

MEDICAL IMAGING AND 3D RECONSTRUCTION FOR OBTAINING THE GEOMETRICAL AND PHYSICAL MODEL OF A CONGENITAL BILATERAL RADIO-ULNAR SYNOSTOSIS

The paper presents results of a 3D reconstruction of a congenital bilateral radio-ulnar synostosis. Basics of anatomy and biomechanical analysis of the elbow joint were introduced. Case report of a congenital bilateral radio-ulnar synostosis was presented. Based on the data from computed tomography imaging, the model of a congenital bilateral radio-ulnar synostosis was constructed. Basic information on reverse engineering, rapid prototyping and methods of making physical models are presented. The creation of physical models was aimed at pre-operative planning and conceptualization. Physical models were also used in the educational form at the stage of communication with the patient.
  • APA 6th style
Karpiński, R., Jonak, J., & Maksymiuk, J. (2018). Medical imaging and 3D reconstruction for obtaining the geometrical and physical model of a congenital bilateral radio-ulnar synostosis. Applied Computer Science, 14(1), 84-93. doi:10.23743/acs-2018-08
  • Chicago style
Karpiński, Robert, Józef Jonak, and Jacek Maksymiuk. "Medical Imaging and 3d Reconstruction for Obtaining the Geometrical and Physical Model of a Congenital Bilateral Radio-Ulnar Synostosis." Applied Computer Science 14, no. 1 (2018): 84-93.
  • IEEE style
Karpiński R, Jonak J, Maksymiuk J. Medical imaging and 3D reconstruction for obtaining the geometrical and physical model of a congenital bilateral radio-ulnar synostosis. Applied Computer Science. 2018;14(1):84-93.
  • Vancouver style
Czarnecka A, Sobaszek Ł, Świć A. 2D image-based industrial robot end effector trajectory control algorithm. Applied Computer Science. 2018;14(1):73-83.

2D IMAGE-BASED INDUSTRIAL ROBOT END EFFECTOR TRAJECTORY CONTROL ALGORITHM

This paper presents an algorithm for programming an industrial robot’s end effector path based on 2D images. The first section gives a brief overview of modern solutions for industrial robot implementation. The next section describes the test set-up and the software used in tests. The work also presents the key elements of the controller algorithm and their operation: 2D image processing with MATLAB software, generating the code for robot control in AS language, and implementation of the produced codes to the Kawasaki RS003N robot.
  • APA 6th style
Czarnecka, A., Sobaszek, Ł., & Świć, A. (2018). 2D image-based industrial robot end effector trajectory control algorithm. Applied Computer Science, 14(1), 73-83. doi:10.23743/acs-2018-07
  • Chicago style
Czarnecka, Anna, Łukasz Sobaszek, and Antoni Świć. "2d Image-Based Industrial Robot End Effector Trajectory Control Algorithm." Applied Computer Science 14, no. 1 (2018): 73-83.
  • IEEE style
A. Czarnecka, Ł. Sobaszek, and A. Świć, "2D image-based industrial robot end effector trajectory control algorithm," Applied Computer Science, vol. 14, no. 1, pp. 73-83, 2018.
  • Vancouver style
Czarnecka A, Sobaszek Ł, Świć A. 2D image-based industrial robot end effector trajectory control algorithm. Applied Computer Science. 2018;14(1):73-83.

TESTS OF HTS 2G SUPERCONDUCTING TAPES USING THE LABVIEW ENVIRONMENT

HTS 2G superconducting tapes without stabilizer are used for the construction of superconducting fault current limiters. The characteristics R =f(T) of the superconducting tape is essential for design of superconducting current limiters and analysis of their numerical models. The article presents the experimentally determined characteristics R=f(T) of the second generation superconducting tapes SF4050 and SF12050 using the LabVIEW integrated environment. The article describes the method of sample preparation and methodology of testing of HTS 2G superconducting tapes. The LabVIEW integrated environment was used for the testing, thanks to which it was possible to download, process and save measurement data.
  • APA 6th style
Kwoka, R., Kozak, J., & Majka, M. (2018). Tests of HTS 2G superconducting tapes using the LabVIEW environment. Applied Computer Science, 14(1), 64-72. doi:10.23743/acs-2018-06
  • Chicago style
Kwoka, Rafał, Janusz Kozak, and Michał Majka. "Tests of Hts 2g Superconducting Tapes Using the Labview Environment." Applied Computer Science 14, no. 1 (2018): 64-72.
  • IEEE style
R. Kwoka, J. Kozak, and M. Majka, "Tests of HTS 2G superconducting tapes using the LabVIEW environment," Applied Computer Science, vol. 14, no. 1, pp. 64-72, 2018.
  • Vancouver style
Kwoka R, Kozak J, Majka M. Tests of HTS 2G superconducting tapes using the LabVIEW environment. Applied Computer Science. 2018;14(1):64-72.

MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA

Fluctuationinprices of Agricultural products is inevitable in developing countries faced with economic depression and this, has brought a lot of inadequaciesin the preparation of Government financial budget. Consumers and producers are poorly affected because they cannot take appropriate decision at the right time. In this study, Machine Learning(ML) predictive modeling is being implemented using the MATLAB Toolboxto predict the price of cassava derivatives (garri) in the SouthWestern part of Nigeria.The model predicted that by the year 2020, all things being equal,the price of (1kg) of garri will be N500.This will boost the Agricultural sector and the economy of the nation.
  • APA 6th style
Olanloye, O., & Oduntan, E. (2018). Machine learning predictive modeling of the price of cassava derivative(garri) in the South West of Nigeria. Applied Computer Science, 14(1), 53-63. doi:10.23743/acs-2018-05
  • Chicago style
Olanloye, Odunayo, and Esther Oduntan. "Machine Learning Predictive Modeling of the Price of Cassava Derivative(Garri) in the South West of Nigeria." Applied Computer Science 14, no. 1 (2018): 53-63.
  • IEEE style
O. Olanloye and E. Oduntan, "Machine learning predictive modeling of the price of cassava derivative(garri) in the South West of Nigeria," Applied Computer Science, vol. 14, no. 1, pp. 53-63, 2018.
  • Vancouver style
Olanloye O, Oduntan E. Machine learning predictive modeling of the price of cassava derivative(garri) in the South West of Nigeria. Applied Computer Science. 2018;14(1):53-63.

THE USE OF SIMULATION ENVIRONMENT FOR SOLVING THE ASSEMBLY LINE BALANCING PROBLEM

The paper describes the application of a simulation environment (Tecnomatix Plant Simulation) for solving a real manufacturing problem. The studied case consisted in rebalancing the production line with a specified number of operators on the line. The first stage of the study involved determination of the production cycle and key performance indicators. The production system was then divided into work cells. After that, proposed design assumptions were verified via a simulation model. 
  • APA 6th style
Danilczuk, W. (2018). The use of simulation environment for solving the assembly line balancing problem. Applied Computer Science, 14(1), 42-52. doi:10.23743/acs-2018-04
  • Chicago style
Danilczuk, Wojciech. "The Use of Simulation Environment for Solving the Assembly Line Balancing Problem." Applied Computer Science 14, no. 1 (2018): 42-52.
  • IEEE style
W. Danilczuk, "The use of simulation environment for solving the assembly line balancing problem," Applied Computer Science, vol. 14, no. 1, pp. 42-52, 2018.
  • Vancouver style
Danilczuk W. The use of simulation environment for solving the assembly line balancing problem. Applied Computer Science. 2018;14(1):42-52.

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