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Real time human micro-organisms biotyping based on Water-Assisted Laser Desorption/Ionization

spectra acquisition were performed in positive resolution mode with a scan time of 0.5 sec. Real-time analysis For real time analysis, the built model was exported to a second software module called OMB Recognition. The parameters for this analysis were: a TIC threshold of 1E+4 count for irradiation detection, a normalized intensity threshold of 1E+6, and an outlier limit of 5 standard deviations. The software analyzes 1 scan per spectrum and has a 3s timeout waiting for good spectrum. The cross-validated models are exported from the OMB software and then loaded

Open access
Researches on Inertial Mechatronic Motion Analysis Systems, Based on MEMS

Abstract

The aim of this paper is to provide an introduction into the inertial motion analysis field, focusing its attention on the analysis that is performed using modern mechatronic inertial motion capture systems, highlighting both the advantages and drawbacks of using such a system and outlining the main constituent elements of these systems as well as the necessary steps to be carried out in order to be able to accomplish such analysis.

A modern mechatronic inertial motion analysis system’s evolution it’s based on MEMS (Micro-Electro-Mechanical-Systems) sensory network, each of which contains a combination of accelerometer, gyroscope, magnetometer. The signals from these MEMS are processed, by a microcontroller, using advanced algorithms in order to provide accurate data regarding body’s segments kinematics, global positioning and magnetic field. Those data are being transferred to a biomechanical model for the analysis. Despite its tremendous advantages, such as portability and real-time analysis capabilities, over alternative motion analysis systems, such as optical or mechanical systems, that based on external transmitters and/or video camera networks, restricting their use to special laboratory conditions and/or large workspace, mechatronic inertial systems are not based on an external infrastructure, they present a major disadvantage, namely the positional drift. The estimation of the human subject body’s segments positions and orientation, absolutely requires an initial calibration procedure, called „sensor to segment calibration”, that starts from the positional and orientation information received from the MEMS network, which are then transferred onto a biomechanical (scaled) model of the human body.

Open access
Concept and Armonic Analysis Used for Processing Data Sampled by Mecatronic Devices in Smart Measurement Processes

Abstract

Harmonic analysis is a mathematical method that performs the determination (approximation) of continuous functions by the sum of ideal sinusoids. By selecting these sinusoids in a judicious way, in defining the methods of smart measurement of a part, it is possible to separate the geometrical elements of a part into geometric elements of the shape (circularity, eccentricity, etc.) of the geometric elements corresponding to the state surfaces. This article, using the research carried out under the doctoral thesis “COMPLEX STUDIES, RESEARCH AND EXPERIMENTATION OF PRECISION MECHANICAL GEARING TRANSMISSIONS USING HIGH PRECISION HARMONICS METHODS ”, aims to perform an original work and thus to present and analyze the main methods of processing the data gathered in the process measurement of the parts made and used in mechatronic equipment by resorting to harmonic analysis.

Open access
Real Time Search Algorithm for Observation Outliers During Monitoring Engineering Constructions

Abstract

Real time monitoring of engineering structures in case of an emergency of disaster requires collection of a large amount of data to be processed by specific analytical techniques. A quick and accurate assessment of the state of the object is crucial for a probable rescue action. One of the more significant evaluation methods of large sets of data, either collected during a specified interval of time or permanently, is the time series analysis. In this paper presented is a search algorithm for those time series elements which deviate from their values expected during monitoring. Quick and proper detection of observations indicating anomalous behavior of the structure allows to take a variety of preventive actions. In the algorithm, the mathematical formulae used provide maximal sensitivity to detect even minimal changes in the object’s behavior. The sensitivity analyses were conducted for the algorithm of moving average as well as for the Douglas-Peucker algorithm used in generalization of linear objects in GIS. In addition to determining the size of deviations from the average it was used the so-called Hausdorff distance. The carried out simulation and verification of laboratory survey data showed that the approach provides sufficient sensitivity for automatic real time analysis of large amount of data obtained from different and various sensors (total stations, leveling, camera, radar).

Open access
Strain Gauge Pin Based Force Measurement

Abstract

In this article authors present force measurement method based on strain gauge measuring system installed inside pin, which is a part of light helicopter Main Landing Gear Shock Absorber. Strain gauges in full bridge configuration were installed inside the mounting pin (upper one – fuselage side). Placement and type of strain gauges were selected during the preliminary tests, which verified the validity and conditions of the force measurement. Preliminary tests allowed verification and selection of an optimal measurement system by testing two types of them. The impact on force according to the angle of force vector direction was also verified. Preliminary tests of the strain gauges equipped pin were performed using quasistatic tests stand – 40 T hydraulic press for applying force acting on shock absorber and pin. Whole measuring system is planned to be used in real time analysis of shock absorber force acting on fuselage mounting node.

The strain gauges allows measurement of force in any place of the structure, the article presents the advantages of the system located inside pin. Additionally, the installation technologies of strain gauges in hard-to-reach places are presented. The article is summed up with an analysis of the problems, which arise during the installation and measurement process using strain gauges installed in such a specific place.

Open access
An Adaptive Displacement Detection Algorithm

References Bezručka, J. (2010) Analýza permanentných sietí GNSS v kvázi-reálnom čase a jej aplikácie. Dizertačná práca. (Near real time analysis of the permanent GNSS networks and its applications. PhD Thesis.). Slovak Technical University, Bratislava (in Slovak). Bos, R. - Bombois, X. - van den Hof, P.M.J. (2005) Designing a Kalman Filter When No Noise Covariance Information Is Available. 16th IFAC World Congress, Part 1. Prague. Dach, R. - Hugentobler, U. - Fridez, P. - Meindl, M. (eds.) (2007) Bernese

Open access
Projecting Event-Based Analysis Dates in Clinical Trials: An Illustration Based on the International Duration Evaluation of Adjuvant Chemotherapy (IDEA) Collaboration. Projecting Analysis Dates for the IDEA Collaboration

Abstract

Purpose: Clinical trials are expensive and lengthy, where success of a given trial depends on observing a prospectively defined number of patient events required to answer the clinical question. The point at which this analysis time occurs depends on both patient accrual and primary event rates, which typically vary throughout the trial's duration. We demonstrate real-time analysis date projections using data from a collection of six clinical trials that are part of the IDEA collaboration, an international preplanned pooling of data from six trials testing the duration of adjuvant chemotherapy in stage III colon cancer, and we additionally consider the hypothetical impact of one trial's early termination of follow-up.

Patients and Methods: In the absence of outcome data from IDEA, monthly accrual rates for each of the six IDEA trials were used to project subsequent trial-specific accrual, while historical data from similar Adjuvant Colon Cancer Endpoints (ACCENT) Group trials were used to construct a parametric model for IDEA's primary endpoint, disease-free survival, under the same treatment regimen. With this information and using the planned total accrual from each IDEA trial protocol, individual patient accrual and event dates were simulated and the overall IDEA interim and final analysis times projected. Projections were then compared with actual (previously undisclosed) trial-specific event totals at a recent census time for validation. The change in projected final analysis date assuming early termination of follow-up for one IDEA trial was also calculated.

Results: Trial-specific predicted event totals were close to the actual number of events per trial for the recent census date at which the number of events per trial was known, with the overall IDEA projected number of events only off by eight patients. Potential early termination of follow-up by one IDEA trial was estimated to postpone the overall IDEA final analysis date by 9 months.

Conclusions: Real-time projection of the final analysis time during a trial, or the overall analysis time during a trial collaborative such as IDEA, has practical implications for trial feasibility when these projections are translated into additional time and resources required.

Open access
Identification of Sarcasm in Textual Data: A Comparative Study

Abstract

Purpose

Ever increasing penetration of the Internet in our lives has led to an enormous amount of multimedia content generation on the internet. Textual data contributes a major share towards data generated on the world wide web. Understanding people’s sentiment is an important aspect of natural language processing, but this opinion can be biased and incorrect, if people use sarcasm while commenting, posting status updates or reviewing any product or a movie. Thus, it is of utmost importance to detect sarcasm correctly and make a correct prediction about the people’s intentions.

Design/methodology/approach

This study tries to evaluate various machine learning models along with standard and hybrid deep learning models across various standardized datasets. We have performed vectorization of text using word embedding techniques. This has been done to convert the textual data into vectors for analytical purposes. We have used three standardized datasets available in public domain and used three word embeddings i.e Word2Vec, GloVe and fastText to validate the hypothesis.

Findings

The results were analyzed and conclusions are drawn. The key finding is: the hybrid models that include Bidirectional LongTerm Short Memory (Bi-LSTM) and Convolutional Neural Network (CNN) outperform others conventional machine learning as well as deep learning models across all the datasets considered in this study, making our hypothesis valid.

Research limitations

Using the data from different sources and customizing the models according to each dataset, slightly decreases the usability of the technique. But, overall this methodology provides effective measures to identify the presence of sarcasm with a minimum average accuracy of 80% or above for one dataset and better than the current baseline results for the other datasets.

Practical implications

The results provide solid insights for the system developers to integrate this model into real-time analysis of any review or comment posted in the public domain. This study has various other practical implications for businesses that depend on user ratings and public opinions. This study also provides a launching platform for various researchers to work on the problem of sarcasm identification in textual data.

Originality/value

This is a first of its kind study, to provide us the difference between conventional and the hybrid methods of prediction of sarcasm in textual data. The study also provides possible indicators that hybrid models are better when applied to textual data for analysis of sarcasm.

Open access
Evaluation of the Possibility of Using the Predicted Tropospheric Delays in Real Time Gnss Positioning

J., Schuh H. (2008) Forecast Vienna Mapping Functions 1 for real-time analysis of space geodetic observations, Journal of Geodesy, Vol. 83, No. 5, 397-401. Chen Q., Song S., Zhu W. (2012) An Analysis for Accuracy of Tropospheric Zenith Delay Calculated from ECMWF/NCEP Data over Asia, Chinese Journal of Geophysics, Vol. 55, No. 4, 275-283. Davis J., Herring T., Shapiro A., Rogers E., Elgered G. (1985) Geodesy by Radio Interferometry: Effects of Atmospheric Modelling Errors on Estimates of Baseline Lenght, Radio Science, Vol. 20, No

Open access
Improvement in Accuracy of Determining a Vessel’s Position with the Use of Neural Networks Ana Robust M-Estimation

References 1. Alippi C. 1995. Real-time analysis of ships in radar images with neural networks, Pattern Recognition, Volume 28 (12), pp. 1899-1913. New York, NY, USA. 2. Caspary W., Haen W. 1990. Simultaneous Estimation of Location and Scale Parameters in the Context of Robust M-estimation. Manuscripta Geodaetica no. 15, pp 273-282, Italy. 3. Czaplewski, K., 2004. Positioning with interactive navigational structures implementation. Annual of Navigation, no. 7/2004. Gdynia, Poland. 4. Czaplewski

Open access