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vol. 11, no. 4,2015

COMPUTER AIDED TEAM BUILDING FOR RESEARCH AND DESIGN PROJECTS

Building teams has a fundamental impact for execution of research and development projects. Often the success of the project depends on the competence of employees implementing these projects. Therefore, it be-comes essential to build the team where skills complement each other in terms of knowledge, personality and practical skills. On the other hand an important element is the process of assessing the candidate. The person dealing with recruitment often bases its decisions on intuition / subjective impression and they tend to be unreliable. The article presents a proposal to use Fuzzy AHP and TOPSIS methods in team building for R&D projects on the basis of employees skills using for this process the most well-known tool, namely spreadsheet.
  • APA 6th style
Skrzypek, K., Dąbrowski, K., & Kłos, S. (2015). Computer aided team building for research and design projects. Applied Computer Science, 11(4), 83-94. 
  • Chicago style
Skrzypek, Katarzyna, Karol Dąbrowski, and Sławomir Kłos. "Computer Aided Team Building for Research and Design Projects." Applied Computer Science 11, no. 4 (2015): 83-94.
  • IEEE style
K. Skrzypek, K. Dąbrowski, and S. Kłos, "Computer aided team building for research and design projects," Applied Computer Science, vol. 11, no. 4, pp. 83-94, 2015.
  • Vancouver style
Skrzypek K, Dąbrowski K, Kłos S. Computer aided team building for research and design projects. Applied Computer Science. 2015;11(4):83-94.​​​​​​​​

COMPUTER SYSTEM FOR AUTOMATED ONTOLOGY BUILDING BASIC CROCUS

The article exposes the approach developing a computer system of auto-mated ontology building based on creation of architecture system ontology synthesis CROCUS (Cognition Relations or Concepts Using Semantics) software model. The basic modules of the system and its operations are described. The choice of software tools for implementation was described. Example of SDK decision for system realization was substantiated. The using of this system allows filling the domain ontology in automatic mode.
  • APA 6th style
Oborska, O., Maherovskyj, D., & Vovnjanka, R. (2015). Computer system for automated ontology building basic CROCUS. Applied Computer Science, 11(4), 70-82. 
  • Chicago style
Oborska, Oksana, Dmytro Maherovskyj, and Roman Vovnjanka. "Computer System for Automated Ontology Building Basic Crocus." Applied Computer Science 11, no. 4 (2015): 70-82.
  • IEEE style
O. Oborska, D. Maherovskyj, and R. Vovnjanka, "Computer system for automated ontology building basic CROCUS," Applied Computer Science, vol. 11, no. 4, pp. 70-82, 2015.
  • Vancouver style
Oborska O, Maherovskyj D, Vovnjanka R. Computer system for automated ontology building basic CROCUS. Applied Computer Science. 2015;11(4):70-82.​​​​​​​

COMPUTER-AIDED PRODUCTION TASK SCHEDULING

The following paper is devoted to computer-aided production scheduling. The initial presentation of principles of deterministic scheduling was followed by the description of typical production environments and completed by the classification of production tasks scheduling methods. Furthermore, LiSA software was introduced and applied to build a schedule based on actual production data. In conclusion, the effectiveness of production task scheduling was evaluated with selected logarithms offered by LiSA software.
  • APA 6th style
Sobaszek, Ł., & Gola, A. (2015). Computer-aided production task scheduling. Applied Computer Science, 11(4), 58-69. 
  • Chicago style
Sobaszek, Łukasz, and Arkadiusz Gola. "Computer-Aided Production Task Scheduling." Applied Computer Science 11, no. 4 (2015): 58-69.
  • IEEE style
Ł. Sobaszek and A. Gola, "Computer-aided production task scheduling," Applied Computer Science, vol. 11, no. 4, pp. 58-69, 2015.
  • Vancouver style
Sobaszek Ł, Gola A. Computer-aided production task scheduling. Applied Computer Science. 2015;11(4):58-69.​​​​​​

TOOL WEAR MEASUREMENT AFTER MILLING OF ALUMINUM ALLOY USING COMBINED ROUGHNESS AND CONTOUR DEVICE

During separation of work surface in machining process and transforming it into chips, tool remains in constant contact with the workpiece. During this contact, there are a series of phenomena leading to the tool wear. Tool wear monitoring, and determination of tool life which is a signal to replace the tool with a new one, is important to ensure the continuity of production process in any company where elements are produced by machining. The article presents the results of tool wear measurement after milling of AlSi10Mg aluminum alloy using combined roughness and contour device.
  • APA 6th style
Matuszak, J. (2015). Tool wear measurement after milling of aluminum alloy using combined roughness and contour device. Applied Computer Science, 11(4), 51-57. 
  • Chicago style
Matuszak, Jakub. "Tool Wear Measurement after Milling of Aluminum Alloy Using Combined Roughness and Contour Device." Applied Computer Science 11, no. 4 (2015): 51-57.
  • IEEE style
J. Matuszak, "Tool wear measurement after milling of aluminum alloy using combined roughness and contour device," Applied Computer Science, vol. 11, no. 4, pp. 51-57, 2015.
  • Vancouver style
Matuszak J. Tool wear measurement after milling of aluminum alloy using combined roughness and contour device. Applied Computer Science. 2015;11(4):51-7.​​​​​​

IMPACT OF FRONT AND REAR WHEEL TRACK ADJUSTMENT ON RACE CAR LAP TIME

The dynamics of race cars is an extremely broad issue, as there are many factors which have an impact on a race car's behaviour on the road. This study examines the relationship between lap time of a race car and different adjustments of front and rear wheel tracks. The analysis is performed using VI-CarRealTime simulation tool provided by VI-grade, a global leader in racing simulation tools. To explain the difference between the front/rear wheel track ratios, the values of side slip angle in corners are used. The best adjustment is determined.
  • APA 6th style
Gita, A., & Kłonica, M. (2015). Impact of front and rear wheel track adjustment on race car lap time. Applied Computer Science, 11(4), 42-50. 
  • Chicago style
Gita, Arkadiusz, and Mariusz Kłonica. "Impact of Front and Rear Wheel Track Adjustment on Race Car Lap Time." Applied Computer Science 11, no. 4 (2015): 42-50.
  • IEEE style
A. Gita and M. Kłonica, "Impact of front and rear wheel track adjustment on race car lap time," Applied Computer Science, vol. 11, no. 4, pp. 42-50, 2015.
  • Vancouver style
Oborska O, Maherovskyj D, Vovnjanka R. Computer system for automated ontology building basic CROCUS. Applied Computer Science. 2015;11(4):70-82.​​​​​​

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