This article aims at studying the behavior of different types of crossover operators in the performance of Genetic Algorithm. We have also studied the effects of the parameters and variables (crossover probability (pc), mutation probability (pm), population size (pop-size) and number of generation (NG)) for controlling the algorithm. This research accumulated most of the types of crossover operators these types are implemented on evolving weights of Neural Network problem. The article investigates the role of crossover in GAs with respect to this problem, by using a comparative study between the iteration results obtained from changing the parameters values (crossover probability, mutation rate, population size and number of generation). From the experimental results, the best parameters values for the Evolving Weights of XOR-NN problem are NG = 1000, pop-size = 50, pm = 0.001, pc = 0.5 and the best operator is Line Recombination crossover.

Hameed, W. M., & Kanbar, A. B. (2019). Using GA for evolving weights in neural networks. Applied Computer Science, 15(3), 21-33. doi:10.23743/acs-2019-18

Hameed, Wafaa Mustafa, and Asan Baker Kanbar. "Using Ga for Evolving Weights in Neural Networks." Applied Computer Science 15, no. 3 (2019): 21-33.

W. M. Hameed and A. B. Kanbar, "Using GA for evolving weights in neural networks," Applied Computer Science, vol. 15, no. 3, pp. 21-33, 2019, doi: 10.23743/acs-2019-18.

Hameed WM, Kanbar AB. Using GA for evolving weights in neural networks. Applied Computer Science. 2019;15(3):21-33.

The paper presents results of preliminary research of vibroarthrography signals recorded from one healthy volunteer. The tests were carried out for the open and closed kinematic chain in the range of motion 90° - 0° - 90°. Analysis included initial signal filtration using the EMD algorithm. The aim was to investigate the occurrence of differences in the values of selected energy and statistical parameters for the cases studied.  

Machrowska, A., Karpiński, R., Krakowski, P., & Jonak, J. (2019). Diagnostic factors for opened and closed kinematic chain of vibroarthrography signals. Applied Computer Science, 15(3), 34-44. doi:10.23743/acs-2019-19

Machrowska, Anna, Robert Karpiński, Przemysław Krakowski, and Józe Jonak. "Diagnostic Factors for Opened and Closed Kinematic Chain of Vibroarthrography Signals." Applied Computer Science 15, no. 3 (2019): 34-44.

A. Machrowska, R. Karpiński, P. Krakowski, and J. Jonak, "Diagnostic factors for opened and closed kinematic chain of vibroarthrography signals," Applied Computer Science, vol. 15, no. 3, pp. 34-44, 2019, doi: 10.23743/acs-2019-19.

Machrowska A, Karpiński R, Krakowski P, Jonak J. Diagnostic factors for opened and closed kinematic chain of vibroarthrography signals. Applied Computer Science. 2019;15(3):34-44.

The article attempts to assess the manufacturability design taking into account the assessment due to the processing, assembly process and organization of production. The evaluation was conducted by the fuzzy inference methods. An assessment was presented for machining based on the proposed fuzzy inference database.

Matuszek, J., Seneta, T., & Moczała, A. (2019). Fuzzy assessment of manufacturability design for machining. Applied Computer Science, 15(3), 45-55. doi:10.23743/acs-2019-20

Matuszek, Józef, Tomasz Seneta, and Aleksander Moczała. "Fuzzy Assessment of Manufacturability Design for Machining." Applied Computer Science 15, no. 3 (2019): 45-55.

J. Matuszek, T. Seneta, and A. Moczała, "Fuzzy assessment of manufacturability design for machining," Applied Computer Science, vol. 15, no. 3, pp. 45-55, 2019, doi: 10.23743/acs-2019-20.

Matuszek J, Seneta T, Moczała A. Fuzzy assessment of manufacturability design for machining. Applied Computer Science. 2019;15(3):45-55.

Currently the distance education has obtained a wider ever acceptance. One of the main tasks of distance education is the process of checking student’s knowledge by online examination. To conduct a fair examination and prevent unauthorized users to appear in the examination, different biometric technologies are used; we in this paper implement a fingerprint biometric system for distance education students and found by survey that the students are comfortable with fingerprint biometric system.

Jan, H., & Hamid, B. (2019). The application of fingerprints authentication in distance education. Applied Computer Science, 15(3), 56-64. doi:10.23743/acs-2019-21

Jan, Hamid, and Beena Hamid. "The Application of Fingerprints Authentication in Distance Education." Applied Computer Science 15, no. 3 (2019): 56-64.

H. Jan and B. Hamid, "The application of fingerprints authentication in distance education," Applied Computer Science, vol. 15, no. 3, pp. 56-64, 2019, doi: 10.23743/acs-2019-21.

Jan H, Hamid B. The application of fingerprints authentication in distance education. Applied Computer Science. 2019;15(3):56-64.

Orthopaedic trauma surgery is a complex surgical speciality in which anatomy, physiology and physics are mixed. Proper diagnosing and based on that planning and performing surgery is of crucial matter. This article presents usefulness of 3D reconstruction in diagnostics and surgical planning. It focuses on utility of computed tomography reconstruction in trauma surgery. Moreover, two cases in which this technique was used is described. Complex 3D reconstruction proved its usefulness and in future it may become a modality of choice for planning complex trauma procedures in which standard implants and approaches are insufficient. 

Krakowski, P., Jonak, J., Karpiński, R., & Jaworski, Ł. (2019). Usefulness of Rapid Prototyping in planning complex trauma surgeries. Applied Computer Science, 15(3), 65-72. doi:10.23743/acs-2019-22

Krakowski, Przemysław, Józef Jonak, Robert Karpiński, and Łukasz Jaworski. "Usefulness of Rapid Prototyping in Planning Complex Trauma Surgeries." Applied Computer Science 15, no. 3 (2019): 65-72.

P. Krakowski, J. Jonak, R. Karpiński, and Ł. Jaworski, "Usefulness of Rapid Prototyping in planning complex trauma surgeries," Applied Computer Science, vol. 15, no. 3, pp. 65-72, 2019, doi: 10.23743/acs-2019-22.

Krakowski P, Jonak J, Karpiński R, Jaworski Ł. Usefulness of Rapid Prototyping in planning complex trauma surgeries. Applied Computer Science. 2019;15(3):65-72.

This review paper presents a shortcoming associated to data mining algorithm(s) classification, clustering, association and regression which are highly used as a tool in different research communities. Data mining researches has successfully handling large amounts of dataset to solve the problems. An increase in data sizes was brought a bottleneck on algorithms to retrieve hidden knowledge from a large volume of datasets. On the other hand, data mining algorithm(s) has been unable to analysis the same rate of growth. Data mining algorithm(s) must be efficient and visual architecture in order to effectively extract information from huge amounts of data in many data repositories or in dynamic data streams. The increasing use of information visualization tools (architecture) and data mining algorithm(s) stems from two separate lines of research. Data visualization researchers believe in the importance of giving users an overview and insight into the data distributions. Many powerful visual graphical interfaces are built on top of statistical analysis and data mining algorithms to permit users to leverage their power without a deep understanding of the underlying technology. The combination of the graphical interface is permit to navigate through the complexity of statistical and data mining techniques to create powerful models. Therefore, there is an increasing need to understand the bottlenecks associated with the data mining algorithms in modern architectures and research community. This review paper basically to guide and help the researchers specifically to identify the shortcoming of data mining techniques with domain area in solving a certain problems they will explore. It also shows the research areas particularly a multimedia (where data can be sequential, audio signal, video signal, spatio-temporal, temporal, time series etc) in which data mining algorithms not yet used.

Tesema, W. (2019). Inefficiency of data mining algorithms and its architecture: with emphasis to the shortcoming of data mining algorithms on the output of the researches. Applied Computer Science, 15(3), 73-86. doi:10.23743/acs-2019-23

Tesema, Workineh. "Inefficiency of Data Mining Algorithms and Its Architecture: With Emphasis to the Shortcoming of Data Mining Algorithms on the Output of the Researches." Applied Computer Science 15, no. 3 (2019): 73-86.

W. Tesema, "Inefficiency of data mining algorithms and its architecture: with emphasis to the shortcoming of data mining algorithms on the output of the researches," Applied Computer Science, vol. 15, no. 3, pp. 73-86, 2019, doi: 10.23743/acs-2019-23.

Tesema W. Inefficiency of data mining algorithms and its architecture: with emphasis to the shortcoming of data mining algorithms on the output of the researches. Applied Computer Science. 2019;15(3):73-86.

This paper presents a new method of identification of inertia moment of reduced masses on a shaft of an induction motor drive being a part of an electromechanical system. The study shows the results of simulations performed on the tested model of a complex electromechanical system during some changes of a backlash zone width. An analysis of wavelet scalograms of the examined signals carried out using a clustering technique was applied in the diagnostic algorithm. The correctness of the earliest fault detection has been verified during monitoring and identification of mass inertia moment for state variables describing physical quantities of a tested complex of the electromechanical system.

Tomczyk, M., Plichta, A., & Mikulski, M. (2019). Application of image analysis to the identification of mass inertia momentum in electromechanical system with changeable backlash zone. Applied Computer Science, 15(3), 87-102. 

Tomczyk, Marcin, Anna Plichta, and Mariusz Mikulski. "Application of Image Analysis to the Identification of Mass Inertia Momentum in Electromechanical System with Changeable Backlash Zone." Applied Computer Science 15, no. 3 (2019): 87-102.

M. Tomczyk, A. Plichta, and M. Mikulski, "Application of image analysis to the identification of mass inertia momentum in electromechanical system with changeable backlash zone," Applied Computer Science, vol. 15, no. 3, pp. 87-102, 2019, doi: 10.23743/acs-2019-24.

Tomczyk M, Plichta A, Mikulski M. Application of image analysis to the identification of mass inertia momentum in electromechanical system with changeable backlash zone. Applied Computer Science. 2019;15(3):87-102.