ACS Applied Computer Science

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Applied Computer Science Volume 15, Number 4, 2019

A DECLARATIVE APPROACH TO SHOP ORDERS OPTIMIZATION

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The paper presents the problem of material requirements planning with optimization of load distribution between work centers and workers’ groups. Moreover, it discusses the computational example for shop orders optimization. The data for this example were taken from the relational database. The method of Constraint Logic Programming (CLP) for shop orders optimization has been suggested. Using Constraint Logic Programming, the constraints may be directly introduced to the problem declaration, which is equivalent to the source code of the program. The ECLiPSe-CLP software system has been presented. It allows for solving optimization problems concerning dimensions greater than in the case of the professional mathematical programming solver “LINGO”. The application of ECLiPSe-CLP in accessing data from relational databases has been presented.

  • APA 6th style
Wikarek, J., Sitek, P., & Jagodziński, M. (2019). A declarative approach to shop orders optimization. Applied Computer Science, 15(4), 5-15. doi:10.23743/acs-2019-25
  • Chicago style
Wikarek, Jarosław, Paweł Sitek, and Mieczysław Jagodziński. "A Declarative Approach to Shop Orders Optimization." Applied Computer Science 15, no. 4 (2019): 5-15.
  • IEEE style
J. Wikarek, P. Sitek, and M. Jagodziński, "A declarative approach to shop orders optimization," Applied Computer Science, vol. 15, no. 4, pp. 5-15, 2019, doi: 10.23743/acs-2019-25.
  • Vancouver style
Wikarek J, Sitek P, Jagodziński M. A declarative approach to shop orders optimization. Applied Computer Science. 2019;15(4):5-15.

NUMERICAL MODELLING OF RESINS USED IN STEREOLITOGRAPHY RAPID PROTOTYPING

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The presented research deals with the development of the numerical model for resins used for stereolithography (SLA) rapid prototyping. SLA is an additive method of production of models, prototypes, elements or parts of constructions with the use of 3D printing that covers photochemical processes by which light causes chemical monomers to link together to form polymers. Such method is very useful in design visualization, but also can be applied in numerical modelling for the purpose of validation and verification. In this application the resin strength parameters must be described and on the base of them the numerical material model is developed and validated. Such a study for SLA resins was presented in the paper.

  • APA 6th style
Miedzińska, D., Małek, E., & Popławski, A. (2019). Numerical modelling of resins used in stereolitography rapid prototyping. Applied Computer Science, 15(4), 16-26. doi:10.23743/acs-2019-26
  • Chicago style
Miedzińska, Danuta, Ewelina Małek, and Arkadiusz Popławski. "Numerical Modelling of Resins Used in Stereolitography Rapid Prototyping." Applied Computer Science 15, no. 4 (2019): 16-26.
  • IEEE style
D. Miedzińska, E. Małek, and A. Popławski, "Numerical modelling of resins used in stereolitography rapid prototyping," Applied Computer Science, vol. 15, no. 4, pp. 16-26, 2019, doi: 10.23743/acs-2019-26.
  • Vancouver style
Miedzińska D, Małek E, Popławski A. Numerical modelling of resins used in stereolitography rapid prototyping. Applied Computer Science. 2019;15(4):16-26.

CUSTOMIZING AUDIO FADES WITH A VIEW TO REAL-TIME PROCESSING

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To a large extent, an audio fade is distinctly acknowledged as a strict increase (fade-up) or decrease (fade-down) of the volume of an audio content. In this broad context, the widely used fade-in and fade-out sound effects, applied to receive smooth transitions from and down to silence, respectively, appear to be restrictive. Taking into account the increasing demand for multimedia techniques adapted for real-time computing, the present investigation advances straightforward procedures intended for customizing the audio fade-up and fade-down profiles, having at hand well-proven techniques of shaping the fade-in and fade-out audio effects, suitable for fast computing.​

  • APA 6th style
Lupşa-Tătaru, L. (2019). Customizing audio fades with a view to real-time processing. Applied Computer Science, 15(4), 27-36. doi:10.23743/acs-2019-27
  • Chicago style
Lupşa-Tătaru, Lucian. "Customizing Audio Fades with a View to Real-Time Processing." Applied Computer Science 15, no. 4 (2019): 27-36.
  • IEEE style
L. Lupşa-Tătaru, "Customizing audio fades with a view to real-time processing," Applied Computer Science, vol. 15, no. 4, pp. 27-36, 2019, doi: 10.23743/acs-2019-27.
  • Vancouver style
Lupşa-Tătaru L. Customizing audio fades with a view to real-time processing. Applied Computer Science. 2019;15(4):27-36.

DEVELOPMENT OF INTEGRATED MANAGEMENT INFORMATION SYSTEMS IN THE CONTEXT OF INDUSTRY 4.0

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In this paper, development trends of information systems, information systems technology and enterprise information management were analyzed in the context of Industry 4.0 tools. In the first part (par. 1-2), fundamental definitions referred to the subject were presented as well as historic background of Integrated Management Information Systems. In the second part (par. 3), evolution and trends in ERP class systems, electronic economy tools and Product Lifecycle Management software were described. In the third part (par. 4-5), observed trends in information systems technology, in relation to Industry 4.0 tools, were discussed including manufacturing resources, production objects and novel management strategies approach. Many conclusions were related with actual manufacturing practices observed by the authors.​​

  • APA 6th style
Cieśla, B., & Gunia, G. (2019). Development of integrated management information systems in the context of Industry 4.0. Applied Computer Science, 15(4), 37-48. doi:10.23743/acs-2019-28
  • Chicago style
Cieśla, Bartosz, and Grzegorz Gunia. "Development of Integrated Management Information Systems in the Context of Industry 4.0." Applied Computer Science 15, no. 4 (2019): 37-48.
  • IEEE style
B. Cieśla and G. Gunia, "Development of integrated management information systems in the context of Industry 4.0," Applied Computer Science, vol. 15, no. 4, pp. 37-48, 2019, doi: 10.23743/acs-2019-28.
  • Vancouver style
Cieśla B, Gunia G. Development of integrated management information systems in the context of Industry 4.0. Applied Computer Science. 2019;15(4):37-48.

THE SPECTROPHOTOMETRIC ANALYSIS OF ANTIOXIDANT PROPERTIES OF SELECTED HERBS IN VISION-PRO™ UV-VIS

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The aim of the study was to evaluate the influence of type of the solvent (water, aqueous ethanol and ethanol) on the antioxidant properties of four various herbs: couch grass (A. repens), milk thistle (S. marianum), dandelion (T. officinale) and fireweed (E. angustifolium) measurement by three common UV-VIS methods (TPC, ABTS+, DPPH). The results were collected through the Vision-Pro™ UV-VIS spectrophotometer software. Aqueous ethanol was the most effective solvent for extraction for all type of herbs. Fireweed contains the highest amount of polyphenol compounds (0.625 µg GA/ml). The lowest antioxidant capacity was presented by extracts from couch grass (0.019 µg GA/ml).

  • APA 6th style
Ferysiuk, K., & Wójciak, K. M. (2019). The spectrophotometric analysis of antioxidant properties of selected herbs Invision-Pro™ UV-VIS. Applied Computer Science, 15(4), 49-62. doi:10.23743/acs-2019-29
  • Chicago style
Ferysiuk, Karolina, and Karolina M. Wójciak. "The Spectrophotometric Analysis of Antioxidant Properties of Selected Herbs Invision-Pro™ Uv-Vis." Applied Computer Science 15, no. 4 (2019): 49-62.
  • IEEE style
K. Ferysiuk and K. M. Wójciak, "The spectrophotometric analysis of antioxidant properties of selected herbs Invision-Pro™ UV-VIS," Applied Computer Science, vol. 15, no. 4, pp. 49-62, 2019, doi: 10.23743/acs-2019-29.
  • Vancouver style
Ferysiuk K, Wójciak KM. The spectrophotometric analysis of antioxidant properties of selected herbs Invision-Pro™ UV-VIS. Applied Computer Science. 2019;15(4):49-62.

ENHANCING APPROACH USING HYBRID PAILLER AND RSA FOR INFORMATION SECURITY IN BIGDATA

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The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud. This fact motivates the need for a plat¬form which can handle this problem. Hadoop is a deployed platform proposed to overcome this big data problem which often uses MapReduce architecture to process vast amounts of data of the cloud system. Hadoop has no strategy to assure the safety and confidentiality of the files saved inside the Hadoop distributed File system (HDFS). In the cloud, the protection of sensitive data is a critical issue in which data encryption schemes plays avital rule. This research proposes a hybrid system between two well-known asymmetric key cryptosystems (RSA, and Paillier) to encrypt the files stored in HDFS. Thus before saving data in HDFS, the proposed cryptosystem is utilized for encrypting the data. Each user of the cloud might upload files in two ways, non-safe or secure. The hybrid system shows higher computational complexity and less latency in comparison to the RSA cryptosystem alone. 

  • APA 6th style
Abdalwahid, S. M. J., Yousif, R. Z., & Kareem, S. W. (2019). Enhancing approach using hybrid Pailler and RSA for information security in BigData. Applied Computer Science, 15(4), 63-74. doi:10.23743/acs-2019-30
  • Chicago style
Abdalwahid, Shadan Mohammed Jihad, Raghad Zuhair Yousif, and Shahab Wahhab Kareem. "Enhancing Approach Using Hybrid Pailler and Rsa for Information Security in Bigdata." Applied Computer Science 15, no. 4 (2019): 63-74.
  • IEEE style
S. M. J. Abdalwahid, R. Z. Yousif, and S. W. Kareem, "Enhancing approach using hybrid Pailler and RSA for information security in BigData," Applied Computer Science, vol. 15, no. 4, pp. 63-74, 2019, doi: 10.23743/acs-2019-30.
  • Vancouver style
Abdalwahid SMJ, Yousif RZ, Kareem SW. Enhancing approach using hybrid Pailler and RSA for information security in BigData. Applied Computer Science. 2019;15(4):63-74.

AN OVERVIEW OF DEEP LEARNING TECHNIQUES FOR SHORT-TERM ELECTRICITY LOAD FORECASTING

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This paper presents an overview of some Deep Learning (DL) techniques applicable to forecasting electricity consumptions, especially in the short-term horizon. The paper introduced key parts of four DL architectures including the RNN, LSTM, CNN and SAE, which are recently adopted in implementing Short-term (electricity) Load Forecasting problems. It further presented a model approach for solving such problems. The eventual implication of the study is to present an insightful direction about concepts of the DL methods for forecasting electricity loads in the short-term period, especially to a potential researcher in quest of solving similar problems.

  • APA 6th style
Adewuyi, S., Aina, S., Uzunuigbe, M., Lawal, A., & Oluwaranti, A. (2019). An overview of Deep Learning techniques for Short-term Electricity Load Forecasting. Applied Computer Science, 15(4), 75-92. doi:10.23743/acs-2019-31
  • Chicago style
Adewuyi, Saheed, Segun Aina, Moses Uzunuigbe, Aderonke Lawal, and Adeniran Oluwaranti. "An Overview of Deep Learning Techniques for Short-Term Electricity Load Forecasting." Applied Computer Science 15, no. 4 (2019): 75-92.
  • IEEE style
S. Adewuyi, S. Aina, M. Uzunuigbe, A. Lawal, and A. Oluwaranti, "An overview of Deep Learning techniques for Short-term Electricity Load Forecasting," Applied Computer Science, vol. 15, no. 4, pp. 75-92, 2019, doi: 10.23743/acs-2019-31.
  • Vancouver style
Adewuyi S, Aina S, Uzunuigbe M, Lawal A, Oluwaranti A. An overview of Deep Learning techniques for Short-term Electricity Load Forecasting. Applied Computer Science. 2019;15(4):75-92.

APPLICATION OF WAVELET – NEURAL METHOD TO DETECT BACKLASH ZONE IN ELECTROMECHANICAL SYSTEMS GENERATING NOISES

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This paper presents a method of identifying the width of backlash zone in an electromechanical system generating noises. The system load is a series of rectangular pulses of constant amplitude, generated at equal intervals. The need for identification of the backlash zone is associated with a gradual increase of its width during the drive operation. The study uses wavelet analysis of signals and analysis of neural network weights obtained from the processing without supervised learning. The time-frequency signal representations of accelerations of the mechanical load components were investigated. 

  • APA 6th style
Tomczyk, M., Plichta, A., & Mariusz, M. (2019). Application of wavelet –neural method to detect backlash zone in electromechanical systems generating noises. Applied Computer Science, 15(4), 93-108. doi:10.23743/acs-2019-32
  • Chicago style
Tomczyk, Marcin, Anna Plichta, and Mikulski Mariusz. "Application of Wavelet –Neural Method to Detect Backlash Zone in Electromechanical Systems Generating Noises." Applied Computer Science 15, no. 4 (2019): 93-108.
  • IEEE style
M. Tomczyk, A. Plichta, and M. Mariusz, "Application of wavelet –neural method to detect backlash zone in electromechanical systems generating noises," Applied Computer Science, vol. 15, no. 4, pp. 93-108, 2019, doi: 10.23743/acs-2019-32.
  • Vancouver style
Tomczyk M, Plichta A, Mariusz M. Application of wavelet –neural method to detect backlash zone in electromechanical systems generating noises. Applied Computer Science. 2019;15(4):93-108.