ACS Applied Computer Science

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Applied Computer Science Volume 14, Number 1, 2018

STREET LIGHTS INTELLIGENT SYSTEM, BASED ON THE INTERNET OF THINGS CONCEPT

The paper presents a project of a street lights intelligent system, which allows for public savings, as a result of more efficient roads and pavements lights management. The system would operate based on the current location of vehicles and pedestrians. Because of this no additional costs or devices are required in smartphones or modern vehicles to indicate its location, as smartphones, smartwatches and most of modern cars are equipped with the GPS modules. But each smart street lamp needs to be equipped with a little module that communicates with the central system and which controls the work of lighting.
  • APA 6th style
Cygan, S., Borowik, B., & Borowik, B. (2018). Street lights intelligent system, based on the Internet of Things koncept. Applied Computer Science, 14(1), 5-15. doi:10.23743/acs-2018-01
  • Chicago style
Cygan, Sebastian, Barbara Borowik, and Bohdan Borowik. "Street Lights Intelligent System, Based on the Internet of Things Koncept." Applied Computer Science 14, no. 1 (2018): 5-15.
  • IEEE style
S. Cygan, B. Borowik, and B. Borowik, "Street lights intelligent system, based on the Internet of Things koncept," Applied Computer Science, vol. 14, no. 1, pp. 5-15, 2018.
  • Vancouver style
Cygan S, Borowik B, Borowik B. Street lights intelligent system, based on the Internet of Things koncept. Applied Computer Science. 2018;14(1):5-15.

NUMERICAL ANALYSIS OF THE DRAG COEFFICIENT OF A MOTORCYCLE HELMET

The paper discusses a numerical investigation, using a CFD tool, ANSYS FLUENT, of drag acting on a motorcycle helmet. The simulations were performed on a model of a helmet downloaded from a free CAD model library. A solid model enabled us to generate a mesh, to define boundary conditions and to specify a model of turbulence. Accordingly, the values of forces acting on individual sections of the helmet were obtained and the coefficients of aerodynamic drag were calculated. The test results can be used to optimize the shape of the existing motorcycle helmet construction and to study the impact of generated drag forces on reaction forces affecting a motorcyclist’s body.
  • APA 6th style
Czyż, Z., Karpiński, P., & Sevdim, T. (2018). Numerical analysis of the drag coefficient of a motorcycle helmet. Applied Computer Science, 14(1), 16-26. doi:10.23743/acs-2018-02
  • Chicago style
Czyż, Zbigniew, Paweł Karpiński, and Tacetdin Sevdim. "Numerical Analysis of the Drag Coefficient of a Motorcycle Helmet." Applied Computer Science 14, no. 1 (2018): 16-26.
  • IEEE style
Z. Czyż, P. Karpiński, and T. Sevdim, "Numerical analysis of the drag coefficient of a motorcycle helmet," Applied Computer Science, vol. 14, no. 1, pp. 16-26, 2018.
  • Vancouver style
Czyż Z, Karpiński P, Sevdim T. Numerical analysis of the drag coefficient of a motorcycle helmet. Applied Computer Science. 2018;14(1):16-26.

ASYNCHRONOUS INFORMATION DISTRIBUTION AND CLUSTER STATE SYNCHRONIZATION

This article describes issues related to information distribution and cluster state synchronization in environments with inconsistent network topology (with partially connected nodes or disconnected), without centralized authentication and authorization points. The main objective of this study was to create a set of rules and functional requirements to build a framework for building applications in decentralized and distributed environments that are not fully fault-tolerant, regardless of the underlying cluster’s hardware topology and availability. These solutions are based on selected principles known from the Blockchain database, Public Key Infrastructure, and Event Driven Development. Functional requirements derived from these systems are the basis of a framework dedicated for creating decentralized systems and distribution of information, used in systems developed by cloudover.io company together with AGH University of Science and Technology. Proposed principles were implemented as free library – libdinemic, which is base for future cluster management system, dedicated for large and inconsistent environments.
  • APA 6th style
Nabożny, M. (2018). Asynchronous information distribution and cluster state synchronization. Applied Computer Science, 14(1), 27-41. doi:10.23743/acs-2018-03
  • Chicago style
Nabożny, Maciej. "Asynchronous Information Distribution and Cluster State Synchronization." Applied Computer Science 14, no. 1 (2018): 27-41
  • IEEE style
M. Nabożny, "Asynchronous information distribution and cluster state synchronization," Applied Computer Science, vol. 14, no. 1, pp. 27-41, 2018.
  • Vancouver style
Nabożny M. Asynchronous information distribution and cluster state synchronization. Applied Computer Science. 2018;14(1):27-41.

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.

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.

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.

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.

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.