In this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated. Thereafter, a method of choosing components for small batch manu-facturing in advance, under conditions of single unit ETO production system, with application of fuzzy logic is described. This approach can be used in ETO companies during their transition into the hybrid MC-ETO production systems. The research was done in a collaboration with experts from the real ETO pro-duction system, in Polish SME, which manufactures mechanical parts.

Ciesla, B., & Mleczko, J. (2021). Practical application of fuzzy logic in production control systems of engineer to order SMEs. Applied Computer Science, 17(1), 17-25. https://doi.org/10.23743/acs-2021-02

Ciesla, Bartosz, and Janusz Mleczko. "Practical Application of Fuzzy Logic in Production Control Systems of Engineer to Order Smes." Applied Computer Science 17, no. 1 (2021): 17-25.

B. Ciesla and J. Mleczko, "Practical application of fuzzy logic in production control systems of engineer to order SMEs," Applied Computer Science, vol. 17, no. 1, pp. 17-25, 2021, doi: 10.23743/acs-2021-02.

Ciesla B, Mleczko J. Practical application of fuzzy logic in production control systems of engineer to order SMEs. Applied Computer Science. 2021;17(1):17-25.

This work shows the possibility of using spectral analysis in order to detect characteristic points in recorded images. The specific point is a marker in the form of a diode that flashes at a certain frequency. Main assumptions of the processing algorithm are the recording of a sequence of images and treatment change of level of brightness for each pixel as a time signal. The amplitude spectrum is determined for each time signal. The result of data processing is an amplitude image whose pixels brightness corresponding to the intensity of source of pulsating light emitting specific frequency. This new data representation is used  to detect position of markers. The algorithm was re¬searched in order to select optimal marker colors and pulsation frequency. The results are described in a summary.

Miś, P., & Szulim, P. (2021). Analysis of the possibility of using markers emitting pulsating light in the task of localization. Applied Computer Science, 17(1), 26-39. https://doi.org/10.23743/acs-2021-03

Miś, Piotr, and Przemysław Szulim. "Analysis of the Possibility of Using Markers Emitting Pulsating Light in the Task of Localization." Applied Computer Science 17, no. 1 (2021): 26-39.

P. Miś and P. Szulim, "Analysis of the possibility of using markers emitting pulsating light in the task of localization," Applied Computer Science, vol. 17, no. 1, pp. 26-39, 2021, doi: 10.23743/acs-2021-03.

Miś P, Szulim P. Analysis of the possibility of using markers emitting pulsating light in the task of localization. Applied Computer Science. 2021;17(1):26-39.

This article presents a proportional relationship between Shutter and the value of the resolution scanning system that allows decision making for modeling 3D parts used in reverse engineering and additive manufacturing. As a first step, the object of interest is treated to dim excessive brightness, then the object is scanned  (by point cloud or mesh) with the use of a Handyscan 700 scanner. The point cloud is processed with the Geomagic software Desing X to generate a CAD image and a “.stl” file for 3D printing.

Coutino-Moreno, E., Estrada, Q., Maldonado-Onofre, D., Rodriguez-Mendez, A., & Gomez-Giron, J. (2021). Resolution in the 3D modeling of objects for additive manufacturing and reverse engineering – shutter effect. Applied Computer Science, 17(1), 40-52. https://doi.org/10.23743/acs-2021-04

Coutino-Moreno, Elvis, Quirino Estrada, Daniel Maldonado-Onofre, Alejandro Rodriguez-Mendez, and Julio Gomez-Giron. "Resolution in the 3d Modeling of Objects for Additive Manufacturing and Reverse Engineering – Shutter Effect." Applied Computer Science 17, no. 1 (2021): 40-52.

E. Coutino-Moreno, Q. Estrada, D. Maldonado-Onofre, A. Rodriguez-Mendez, and J. Gomez-Giron, "Resolution in the 3D modeling of objects for additive manufacturing and reverse engineering – shutter effect," Applied Computer Science, vol. 17, no. 1, pp. 40-52, 2021, doi: 10.23743/acs-2021-04.

Coutino-Moreno E, Estrada Q, Maldonado-Onofre D, Rodriguez-Mendez A, Gomez-Giron J. Resolution in the 3D modeling of objects for additive manufacturing and reverse engineering – shutter effect. Applied Computer Science. 2021;17(1):40-52.

This paper provides analysis of WiMAX systems from its background to their architec¬tures highlighting merits and demerits, topologies, structures and looks deep into transceiver systems architecture, then specializes on the radio frequency (RF) front-end part of the WiMAX transceiver system in which a model is designed. Thereafter, the model is implemented in MATLAB Simulink and the results are investigated and analyzed.

Al-Rawi, M. F., & Al-Rawi, M. F. (2021). Novel simple design and analysis of Wi-Max transceiver using MATLAB-Simulink. Applied Computer Science, 17(1), 53-60. https://doi.org/10.23743/acs-2021-05

Al-Rawi, Muaayed F., and Muhanned F. Al-Rawi. "Novel Simple Design and Analysis of Wi-Max Transceiver Using Matlab-Simulink." Applied Computer Science 17, no. 1 (2021): 53-60.

M. F. Al-Rawi and M. F. Al-Rawi, "Novel simple design and analysis of Wi-Max transceiver using MATLAB-Simulink," Applied Computer Science, vol. 17, no. 1, pp. 53-60, 2021, doi: 10.23743/acs-2021-05.

Al-Rawi MF, Al-Rawi MF. Novel simple design and analysis of Wi-Max transceiver using MATLAB-Simulink. Applied Computer Science. 2021;17(1):53-60.

Information technologies allow for improving production systems functioning especially thanks to a possibility of solving complex production problems in a very short time. The production system designing is increasingly based on virtual reality, and more specifically on the concept of a digital factory. It enables to create virtual models of real objects and use them for visualization of products and manufacturing processes. The presented examples of new information technologies, which are used in production practice, are the main object of this paper.

Plinta, D., & Kłaptocz, E. (2021). Virtual reality in production layout designing. Applied Computer Science, 17(1), 61-69. https://doi.org/10.23743/acs-2021-06

Plinta, Dariusz, and Ewelina Kłaptocz. "Virtual Reality in Production Layout Designing." Applied Computer Science 17, no. 1 (2021): 61-69.

D. Plinta and E. Kłaptocz, "Virtual reality in production layout designing," Applied Computer Science, vol. 17, no. 1, pp. 61-69, 2021, doi: 10.23743/acs-2021-06.

Plinta D, Kłaptocz E. Virtual reality in production layout designing. Applied Computer Science. 2021;17(1):61-9.

The Search Engine has a critical role in presenting the correct pages to the user because of the availability of a huge number of websites, Search Engines such as Google use the Page Ranking Algorithm to rate web pages according to the nature of their content and their existence on the world wide web. SEO can be characterized as methodology used to elevate site keeping in mind the end goal to have a high rank i.e., top outcome. In this paper the authors present the most search engine optimization like (Google, Bing, MSN, Yahoo, etc.), and compare by the performance of the search engine optimization. The authors also present the benefits, limitation, challenges, and the search engine optimization application in business.

lmukhtar, F., Mahmoodd, N., & Kareem, S. (2021). Search engine optimization: a review. Applied Computer Science, 17(1), 70-80. https://doi.org/10.23743/acs-2021-07

Almukhtar, Firas, Nawzad Mahmoodd, and Shahab Kareem. "Search Engine Optimization: A Review." Applied Computer Science 17, no. 1 (2021): 70-80.

F. Almukhtar, N. Mahmoodd, and S. Kareem, "Search engine optimization: a review," Applied Computer Science, vol. 17, no. 1, pp. 70-80, 2021, doi: 10.23743/acs-2021-07.

Almukhtar F, Mahmoodd N, Kareem S. Search engine optimization: a review. Applied Computer Science. 2021;17(1):70-80.

The leaf is one of the plant organs, contains chlorophyll, and functions as a catcher of energy from sunlight which is used for photosynthesis. Perfect leaves are composed of three parts, namely midrib, stalk, and leaf blade. The way to identify the type of plant is to look at the shape of the leaf edges. The shape, color, and texture of a plant's leaf margins may influence its leaf veins, which in this vein morphology carry information useful for plant classification when shape, color, and texture are not noticeable. Humans, on the other hand, may fail to recognize this feature because they prefer to see plants solely based on leaf form rather than leaf margins and veins. This research uses the Wavelet method to denoise existing images in the dataset and the Convolutional Neural Network classifies through images. The results obtained using the Wavelet Convolutional Neural Network method are equal to 97.13%. 

Dewi, W., & Utomo, W. H. (2021). Plant classification based on leaf edges and leaf morphological veins using wavelet convolutional neural network. Applied Computer Science, 17(1), 81-89. https://doi.org/10.23743/acs-2021-08

Dewi, Wulan, and Wiranto Herry Utomo. "Plant classification based on leaf edges and leaf morphological veins using wavelet convolutional neural network." Applied Computer Science 17, no. 1 (2021): 81-89.

W. Dewi, and W. H. Utomo, "Plant classification based on leaf edges and leaf morphological veins using wavelet convolutional neural network," Applied Computer Science, vol. 17, no. 1, pp. 81-89, 2021, doi: 10.23743/acs-2021-08.

Dewi W, Utomo WH. Plant classification based on leaf edges and leaf morphological veins using wavelet convolutional neural network. Applied Computer Science. 2021;17(1):81-89.