2019, Tom 27 Nr 2

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http://hdl.handle.net/11652/3831

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  • Pozycja
    Black-Gray-White Barcode Based on Error Correction Data Encoding
    (Wydawnictwo Politechniki Łódzkiej, 2019) Dychka, Ivan; Sulema, Olga
    The paper presents an approach based on using barcodes with three color gradations (white, gray, and black) instead of traditional black and white barcodes. Such three-color barcodes can be produced and read by using the same equipment as usual black and white barcodes, but due to the third color they have a higher information density.It is shown in the paper that in order to ensure high reliability and accuracy of barcoded information reading, it is necessary to encode the data with a Reed-Solomon correction code which is capable of correcting multiple errors.The method of data encoding and decoding in the Galois field GF(3m), where m is the degree of an irreducible polynomial, is proposed. The noise immunity of the black-gray-white barcode capable of multiple errors correction based on Reed-Solomon code is analyzed and discussed as well.
  • Pozycja
    Classification of Objects in a Point Cloud using Neural Networks
    (Wydawnictwo Politechniki Łódzkiej, 2019) Daszuta, Marcin; Napieralska-Juszczak, Ewa
    3-dimensional scans captured in shape of point clouds are widely used in many dierent areas. Every such area use dierent kinds of sensors to ac-quire point clouds and do the analysis of the data but each of those needs some preanalysis to be done. One of the most important is segmentation and classification of points into types of objects. Such information considerably widens possibilities of usage for further purposes. There are many classifiers and many features based on which labeling can be done. In this paper few most commonly used approaches were chosen to check the influence of neighboring points acquisition on classification process. Results proof significant relation between those two steps of point cloud analysis. Visualization of analyzed point cloud also shown that precision of predictions not always comes with better visibility of certain types of objects. Additionally, color-less analysis of geometrical features seems to be promising way for further research.