ACS Applied Computer Science

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vol. 14, no. 4,2018

REVIEW OF THE DATA MODELING STANDARDS AND DATA MODEL TRANSFORMATION TECHNIQUES

Manual data transformations that result in high error rates are a big problem in complex integration and data warehouse projects, resulting in poor quality of data and delays in deployment to production. Automation of data transformations can be easily verified by humans; the ability to learn from past decisions allows the creation of metadata that can be leveraged in future mappings. Significant improvement of the quality of data transformations can be achieved, when at least one of the models used in transformation is already analyzed and understood. Over recent decades, particular industries have defined data models that are widely adopted in commercial and open source solutions. Those models (often industry standards, accepted by ISO or other organizations) can be leveraged to increase reuse in integration projects resulting in a) lower project costs and b) faster delivery to production. The goal of this article is to provide a comprehensive review of the practical applications of standardization of data formats. Using use cases from the Financial Services Industry as examples, the author tries to identify the motivations and common elements of particular data formats, and how they can be leveraged in order to automate process of data transformations between the models.
  • APA 6th style
Jaskierny, L. (2018). Review of the data modeling standards and data model transformation techniques. Applied Computer Science, 14(4), 93-108. doi:10.23743/acs-2018-32
  • Chicago style
Jaskierny, Leszek. "Review of the Data Modeling Standards and Data Model Transformation Techniques." Applied Computer Science 14, no. 4 (2018): 93-108.
  • IEEE style
L. Jaskierny, "Review of the data modeling standards and data model transformation techniques," Applied Computer Science, vol. 14, no. 4, pp. 93-108, 2018.
  • Vancouver style
Jaskierny L. Review of the data modeling standards and data model transformation techniques. Applied Computer Science. 2018;14(4):93-108.

EVALUATION OF SAP SYSTEM IMPLEMENTATION IN AN ENTERPRISE OF THE AUTOMOTIVE INDUSTRY – CASE STUDY

Modern businesses boost management by implementing integrated IT systems, such as highly popular in Poland – SAP software, to aid the enterprise resource planning (ERP). This paper evaluates the implementation of an ERP system at a steel wheel rims manufacturer and distributor. The main research method was questionnaire, conducted at the Logistics & Customer Service department. The data acquired from the conducted research were analysed and processed to evaluate the implemented solution. Areas for improvement were pinpointed and concerned the adjustment of the software solution to the needs of the enterprise.
  • APA 6th style
Kulisz, M. (2018). Evaluation of SAP system implementation in an enterprise of the automotive industry – case study. Applied Computer Science, 14(4), 81-92. doi:10.23743/acs-2018-31
  • Chicago style
Kulisz, Monika. "Evaluation of Sap System Implementation in an Enterprise of the Automotive Industry – Case Study." Applied Computer Science 14, no. 4 (2018): 81-92.
  • IEEE style
M. Kulisz, "Evaluation of SAP system implementation in an enterprise of the automotive industry – case study," Applied Computer Science, vol. 14, no. 4, pp. 81-92, 2018.
  • Vancouver style
Kulisz M. Evaluation of SAP system implementation in an enterprise of the automotive industry – case study. Applied Computer Science. 2018;14(4):81-92.

A MODEL FOR ASSESSING THE LEVEL OF AUTOMATION OF A MAINTENANCE DEPARTMENT USING ARTIFICIAL NEURAL NETWORK

With regard to adapting enterprise to the Industry 4.0 concept, the first element should be the implementation and use of an information system within a manufacturing company. This article proposes a model, the use 
of which will allow the level of automation of a maintenance department to be forecast, depending on the effectivity of the use of the Manufacturing Executions System (MES) within a company. The model was built on the basis of the actual times of business processes completed which were supported by MES in the maintenance departments of two manufacturing enterprises using artificial neural network. As a result of research experiments, it was confirmed that the longer the time taken to complete business processes supported by MES, the higher is the degree of automation in a maintenance department.
  • APA 6th style
Halikowski, D., Patalas-Maliszewska, J., & Skrzeszewska, M. (2018). A model for assessing the level of automation of a maintenance department using artificial neural network. Applied Computer Science, 14(4), 70-80. doi:10.23743/acs-2018-30
  • Chicago style
Halikowski, Daniel, Justyna Patalas-Maliszewska, and Małgorzata Skrzeszewska. "A Model for Assessing the Level of Automation of a Maintenance Department Using Artificial Neural Network." Applied Computer Science 14, no. 4 (2018): 70-80.
  • IEEE style
D. Halikowski, J. Patalas-Maliszewska, and M. Skrzeszewska, "A model for assessing the level of automation of a maintenance department using artificial neural network," Applied Computer Science, vol. 14, no. 4, pp. 70-80, 2018.
  • Vancouver style
Halikowski D, Patalas-Maliszewska J, Skrzeszewska M. A model for assessing the level of automation of a maintenance department using artificial neural network. Applied Computer Science. 2018;14(4):70-80.

IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD

In this article a new method of identification of a backlash zone width in a structure of an electromechanical system has been presented. The results of many simulations in a tested model of a complex electromechanical system have been taken while changing a value of a reduced masses inertia moment on a shaft of an induction motor drive. A wavelet analysis of tested signals and analysis of weights that have been obtained during a neural network supervised learning - have been applied in a diagnostic algorithm. The proposed algorithm of detection of backlash zone width, represents effective diagnostic method of a system at changing dynamic conditions, occurring also as a result of mass inertia moment changes.
  • APA 6th style
Tomczyk, M., Borowik, B., & Mikulski, M. (2018). Identification of a backlash zone in an electromechanical system containing changes of a mass inertia moment based on a wavelet–neural method. Applied Computer Science, 14(4), 54-69. doi:10.23743/acs-2018-29
  • Chicago style
Tomczyk, Marcin, Barbara Borowik, and Mariusz Mikulski. "Identification of a Backlash Zone in an Electromechanical System Containing Changes of a Mass Inertia Moment Based on a Wavelet–Neural Method." Applied Computer Science 14, no. 4 (2018): 54-69.
  • IEEE style
M. Tomczyk, B. Borowik, and M. Mikulski, "Identification of a backlash zone in an electromechanical system containing changes of a mass inertia moment based on a wavelet–neural method," Applied Computer Science, vol. 14, no. 4, pp. 54-69, 2018.
  • Vancouver style
Tomczyk M, Borowik B, Mikulski M. Identification of a backlash zone in an electromechanical system containing changes of a mass inertia moment based on a wavelet–neural method. Applied Computer Science. 2018;14(4):54-69.

NUMERICAL AND EXPERIMENTAL ANALYSIS OF THE STRENGTH OF TANKS DEDICATED TO HOT UTILITY WATER

The focus of this paper are experimental and numerical strength tests of domestic hot water storage tanks. The tests involved the verification of the minimum wall thickness for the assumed operating parameters while meeting all safety standards. The authors presented numerical and experimental analyses for the verification of strength parameters of axial cylindrical tanks due to the lack of methodological guidelines for this type of equipment. In order to verify the conducted theoretical considerations and calculations, experimental tests of samples of front welds produced with austenitic steel as well as a pressure test for the whole tank were conducted using a research test stand.
  • APA 6th style
Bałon, P., Rejman, E., Kiełbasa, B., Szostak, J., & Smusz, R. (2018). Numerical and experimental analysis of the strength of tanks dedicated to hot utility water. Applied Computer Science, 14(4), 34-53. doi:10.23743/acs-2018-28
  • Chicago style
Bałon, Paweł, Edward Rejman, Bartłomiej Kiełbasa, Janusz Szostak, and Robert Smusz. "Numerical and Experimental Analysis of the Strength of Tanks Dedicated to Hot Utility Water." Applied Computer Science 14, no. 4 (2018): 34-53.
  • IEEE style
P. Bałon, E. Rejman, B. Kiełbasa, J. Szostak, and R. Smusz, "Numerical and experimental analysis of the strength of tanks dedicated to hot utility water," Applied Computer Science, vol. 14, no. 4, pp. 34-53, 2018.
  • Vancouver style
Bałon P, Rejman E, Kiełbasa B, Szostak J, Smusz R. Numerical and experimental analysis of the strength of tanks dedicated to hot utility water. Applied Computer Science. 2018;14(4):34-53.

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