Assessment of the influence of astronomical cyclicity on sedimentation processes in Eastern Paratethys based on paleomagnetic measurements using Discrete Mathematical Analysis

The main objective of this study is to apply Discrete Mathematical Analysis (DMA) to the development of the methodology of cyclostratigraphy. This aim is supported by exploring the magnetic properties of rocks, the lithology of sediments and obtained geochronological reference definitions. The analysis was based on measurements of the variability of the magnetic susceptibility of rocks, which reflects climate variations. Astronomical cycles are global; this makes it possible to carry out a correlation analysis over a large area and on different facial types of sediments, considering their lithology and other sedimentary features. The introduction of modern methods of mathematical processing of geological data is one of the prospective areas for investigation and development in geoscience. Astronomical cycles can be revealed from measurements of scalar magnetic parameters of rocks (magnetic susceptibility as presented by the authors). Specific software developed by the authors allows the processing of measurement data and assessment of the presence of stable oscillation cycles based on the obtained measurement base. The present study attempts to apply mathematical methods to magnetic data using the existing PAST program, which allows spectral analysis of primary data with the construction of Lomb-Scargle and REDFIT periodograms. We interpret the spectral analysis data based on paleomagnetic determinations, considering the available dates for the boundaries of direct and reverse polarity chrons on a general stratigraphic scale.

Modeling perceived quality of haptic impressions based on various sensor data sources

Purpose This paper aims to provide an approach of modeling haptic impressions of surfaces over a wide range of applications by using multiple sensor sources. Design/methodology/approach A multisensory measurement experiment was conducted using various leather and artificial leather surfaces. After processing of measurement data and feature extraction, different learning algorithms were applied to the measurement data and a corresponding set of data from a sensory study. The study contained evaluations of the same surfaces regarding descriptors of haptic quality (e.g. roughness) by human subjects and was conducted in a former research project. Findings The research revealed that it is possible to model and project haptic impressions by using multiple sensor sources in combination with data fusion. The presented method possesses the potential for an industrial application. Originality/value This paper provides a new approach to predict haptic impressions of surfaces by using multiple sensor sources.

Improvement of Lateral Resolution of 3D-Relief Interferometric Measurement by Deconvolution

The way of the lateral resolution improvement for 3D nanorelief measurement is proposed. Algorithm for digital processing of measurement data based on deconvolution operation using Wiener filtration is presented. Results of theoretical researches, numerical and optical experiments are given.

Neural network approach to reduce dynamic measurement errors

<p>The neural network inverse model of a sensor with filtration of the sequentially recovered signal is considered. This model effectively reduces the dynamic measurement errors due to deep mathematical processing of measurement data. The result of the experimental data processing of a dynamic temperature measurement validates the efficiency of the proposed neural network approach to reduce dynamic measurement errors.</p>

Performance Evaluation of Rotary Mixers Through Monitoring of Power Energy Parameters

A method is outlined that can be adopted for measuring the power demand by moulding sand mixers using a dedicated computer system enabling the monitoring and recording of instantaneous voltage and current levels of power taken up by foundry machines and installations. This system allows the operational parameters of electric-powered devices to be effectively monitored. Of particular importance is the energy efficiency level. Monitoring of the machine operation is also required for evaluation of the sand preparation processes. The methodology of measurements and processing of measurement data is explained using the example of a state-of-the-art rotary mixer for laboratory applications. Tests have confirmed the adequacy and good performance of the microprocessor system used in measurements, allowing the energy efficiency parameters of the mixer drive to be determined. The fundamental aspects involved in power demand monitoring include: optimisation and control of the mixing process, taking into account the sand quality and mixer performance. It has to be emphasised that the measurement results can be also utilised in optimisation of the machine’s constructional and operational features. Tests confirm that variations of moisture content in sand can impact on selected power energy parameters.

HARDWARE AND SOFTWARE OF DIAGNOSTIC SYSTEM OF WHEELED TRACTORS / HARDWER I SOFTWER SYSTEMU DIAGNOSTYCZNEGO CIĄGNIKÓW KOŁOWYCH

The design and construction of a diagnostic device requires the development of a system for the acquisition and processing of measurement data, numerous cable connections and an on-board computer. The key component of a diagnostic system was the Fujitsu FUTRO S100 on-board computer in shock and vibration-proof housing, with passive cooling and a 16 GB Compact Flash memory card. The computer was provided with a NVOX LCD 10” VGA/FVAT touch screen. The following software was used: Windows XP-2000, USB/DeviceNet interface module and a diagnostic program. The computer was connected to the I-7565USB/DeviceNet master device via the USB port. The CAN bus connected the interface module with three slave devices collecting data from sensors installed in various locations of a wheeled tractor.

Application of Reverse Engineering Technology in Constructing Prototype Surface

Reverse engineering (RE) plays an important role in accelerating product research and borrowing ideals from other manufacturers. This paper describes the whole RE process from origin point acquisition to data processing for better point quality. Based on RE system of a toy prototype, a fine surface reconstruction module is developed. Measurement data are acquired by scanning the physical object using three-dimensional coordinate measuring machine (CMM) and an optical scanning device. After the establishment of the model, data process for prototype, includes noise elimination, data interpolation, data smoothing, data filtering, data splicing and surface reconstructing, are conducted subsequently. Through processing of measurement data, the authors succeed in creating a CAD model and fabrication of the product in stereo lithography apparatus (SLA) machine.