Tomasz Lyszczyk's research while affiliated with Lublin University of Technology and other places

... Literature [22,28] shows that, unfortunately, during some machining cases (e.g. sockets with complex shapes) when changing the machining plane or at reversing points, such starting and braking cases are reflected in the accuracy of the workpiece. ...

... With growing demand, especially in military applications, high-speed aircraft have become an indispensable and cutting-edge technology [1,2]. Aircrafts rely more and more on the accuracy and autonomy of information acquisition, and the application of optical sensors has become an inevitable trend in the future [3][4][5][6]. However, when high-speed aircraft fly in the atmosphere, complex turbulence formed between the optical window and the incoming flow will cause serious interference to the transmitted light, resulting in distortion phenomena, such as deviation and blurring of the image received by optical sensors [7][8][9][10]. ...

... The paper refers to the GARFIELD project, the aim of which is a generally available estimation method of ground performance of an airplane taking-off or landing on a grass airfield [8][9][10][11]. ...

... The paper refers to the GARFIELD project, the aim of which is a generally available estimation method of ground performance of an airplane taking-off or landing on a grass airfield [8][9][10][11]. ...

... Results obtained in the field experiments include courses of wheel forces and moments acting on the left wheel of the Wilga airplane, and we collected data from four days of measurements: 17 October, 5 November, and 5 December 2018, as well as 13 March 2019. The following is a presentation and analysis of the results obtained in the autumn-winter part of the measurements campaign (a so-called "dead season" in sport aviation) that was performed as a full-season measurement for the verification of the wheel-turf interaction model of the GARFIELD information system [1,2,23,24]. the test engineer was in the airplane during measurements. We tried to collect data on a laptop computer, but it was more comfortable to gather the results on a handheld smartphone. ...

... DBSCAN algorithm searches for neighbors of a given point at a distance of ϵ, in the next step central points are defined, i.e. those with minimum N neighbors [14 -17]. Observations that meet the above assumptions are combined into one group, points that are within the range N and are not central points are also switched to the existing groups [18][19][20][21][22]. Observations that have not been attached to any group become borderline observations. ...

... Using sensors in precision agriculture has been widely investigated in the literature, mostly using sensors to measure soil moisture [3][4][5] or using Frequency Domain Reflectometry (FDR) or Time Domain Reflectometry (TDR) to detect variations in the moisture content of soil [6,7]. There are approaches in the literature in which capacitive fringing fields use PCBs to measure the dielectric materials' variations in the soil [8,9]. ...

... The resulting test is measured by five elements that are capable simultaneous of forces , , and , , . But it modifies to complete system such as a sensor, rim, data transfer, acquisition system, and control software [18]. ...

... This is a major reason why takeoff and landing performance should be measured and analyzed. Several measurement methods for airplane ground roll during takeoff or landing have been developed through the years [14]. Some of them are briefly reported below. ...

... One method is to monitor surface mechanical data, related to weather conditions. The GARFIELD information system [1] is based on a wheel-grass model that includes analysis of wheel-soil (wheel-grassy surface) interactions considering soil modeling with a special caution to loads by aircraft tires [2]. The model will respect non-linear, dynamic effects such as hyper-elastic tire deflection, rheological soil response to high rate deformation, and effects of grass and roots. ...