Modification of the synchronization algorithm for the flotation machine video filming with position of the foam extinguisher

2021 ◽  
Author(s):  
Keyword(s):  
Simple Algorithm ◽  
Video Stream ◽  
Synchronization Error ◽  
Flotation Machine ◽  
Synchronization Algorithm ◽  
Technical Vision ◽  
Using Data ◽  
Flotation Machines

The problem of determining the position of foam extinguisher when processing a video stream from potash flotation machines is described. The impossibility of using the previously developed algorithms for synchronizing shooting with foam extinguisher rotation is shown. A simple algorithm in contrast to the previous ones based on determining the most darkened frame is proposed. When testing the algorithm using data from 14 surveys, the average synchronization error was only 2 %. Keywords potash industry; flotation machine; technical vision; synchronization

scholarly journals Technical vision system to ensure the movement of a group of multicopters

2020 ◽  
pp. 13-24
Author(s):  
Yurii Bobkov ◽  
Pavlo Pishchela
Keyword(s):  
Vision System ◽  
Video Stream ◽  
Reference Object ◽  
Maximum Relative Error ◽  
Software Environment ◽  
Technical Vision ◽  
Additional Equipment ◽  
C Programming ◽  
In The Beginning ◽  
Color Depth

The actual task of controlling a group of multicopters performing coordinated actions and are locating at short distances from each other, cannot be performed with the help of a standard on-board autopilot on GPS or GLONASS signals, which give large errors. The solution to this problem is possible due to additional equipment that allows you to set the distance between the multicopters and their relative position. To do this, it is proposed to mark each multicopter with an image label in the form of a standard geometric figure or a geometric body of a given color and size, and to use technical vision system and image recognition algorithms. The structure of the technical vision system for the multicopter was developed and algorithms for image processing and calculation of the change of coordinates of the neighboring multicopter, which are transmitted to the control system to introduce the necessary motion correction, were proposed. The method to identify the reference object in the image of the scene by its color was used in this work. This method is very effective compared to other methods, because it requires only one pass per pixel, which gives a significant advantage in speed during video stream frame processing. RGB color model with a color depth of 24-bit was chosen based on the analysis. Since the lighting during the flight can change, the color is set by the limits of change of the components R, G, B. To determine the distance between multicopters, a very simple but effective method of determination the area of the recognition object (labels on the neighboring multicopter) with next comparation it with the actual value is used. Since the reference object is artificial, its area can be specified with high accuracy. The offset of the center of the object from the center of the frame is used to calculate the other two coordinates. In the beginning, the specific camera instance is calibrated both for a known value of the area of the object and for its displacement along the axes relative to the center of the frame. The technical vision system model in the Simulink software environment of the Matlab system was created to test the proposed algorithms. Based on the simulation results in Simulink, you can generate code in the C programming language for further implementation of the system in real time. A series of studies of the model was conducted using a Logitech C210 webcam with a 0.3 megapixel photo matrix (640x480 resolution). According to the results of the experiment, it was found that the maximum relative error in determining the coordinates of the multicopter did not exceed 6.8 %.

A Study on Time Synchronization Algorithm Based on Energy Effective Strategy

2012 ◽  
Vol 490-495 ◽  
pp. 1976-1980
Author(s):  
Ya Wen Dai ◽  
Long Hua Yan ◽  
Zi Peng Chen
Keyword(s):  
Time Synchronization ◽  
Synchronization Error ◽  
Effective Strategy ◽  
Synchronization Algorithm ◽  
Zigbee Network ◽  
Synchronization Accuracy

With advantages and improvements of HRTS algorithm and DMTS algorithm, a time synchronization algorithm based on energy effective strategy and available to multi-hop network is introduced in this paper. With guarantee of synchronization accuracy, the algorithm prolongs lifetime of WSN. Experiment in Zigbee network indicates that triple-hop synchronization error is less than 15 milliseconds.

Simulation Study on Time Synchronization Based on RBS in Wireless Sensor Networks

2013 ◽  
Vol 321-324 ◽  
pp. 630-634
Author(s):  
Wan Xu ◽  
Guang You Yang ◽  
Jing Jing Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Simulation Study ◽  
Routing Protocol ◽  
Time Synchronization ◽  
Synchronization Error ◽  
Wireless Sensor ◽  
Synchronization Algorithm

Time synchronization is important for wireless sensor networks. In this paper RBS time synchronization algorithm principle and EECH routing protocol are introduced, and the simulation of RBS on the basis of EECH routing protocol is realized using the Synsinc software. The average synchronization error of the simulation is 25.86 us.This value is basically same with other types of simulation, which confirmed the simulation is credible.

scholarly journals IMPROVING ALGORITHMS OF VIDEO SEQUENCE DATA RECOGNITION FOR IDENTIFICATION OF TRANSITION PROCESSES IN A FLOATATION MACHINE OF POTASSIUM ORE

2019 ◽  
pp. 26-39
Author(s):  
Anna Vladimirovna Malysheva ◽  
Andrey Vladimirovich Zatonskiy
Keyword(s):  
Experimental Data ◽  
Transient Process ◽  
System Analysis ◽  
Sequence Data ◽  
Video Stream ◽  
Object Identification ◽  
Automated Control ◽  
Experimental Data Processing ◽  
Flotation Machine ◽  
Quality Video

Potash fertilizers are important for the Russian national agriculture and have become an export item. This fact results in increasing potash fertilizer production and improving potassium procession management. The object of research is floatation processes of potassium in the example of “Uralkaliy”, PJSC (Berezniki, Perm region). The aim of the research is improving algorithms of bubble recognizing in the video stream and using them to identify transient processes and situations in a flotation machine. Methods of researches include the system analysis, mathematical modeling, regression analysis, elements of automatic control theory and object identification. Algorithms for recognizing foam in the sylvinic floatation machine have been modified, which significantly increased the speed of recognizing bubbles in images of the low-quality video stream. Experiments were carried out on laboratory and industrial flotation machines, the results showing the possibility of using modified algorithms both in laboratory and industrial conditions. Video sequences of such quality were obtained and processed on the industrial floatation machine and could be used on the industrial flotation machine to identify situations and to control the machine operation. Using modified algorithms in experimental data processing allowed to identify the transient process and to clarify the time of the transient process. It has been shown that the obtained values are comparable with the data of other researchers and are not at variance with the experimental data. The error of bubble recognition has been estimated. The ways of using the data obtained for the decision support systems of the floater or of the automated control systems of the floatation machine have been shown.

scholarly journals Earth Observation-Informed Risk Maps of the Lyme Disease Vector Ixodes scapularis in Central and Eastern Canada

2021 ◽  
Vol 13 (3) ◽  
pp. 524
Author(s):  
Serge Olivier Kotchi ◽  
Catherine Bouchard ◽  
Stéphanie Brazeau ◽  
Nicholas H. Ogden
Keyword(s):  
Lyme Disease ◽  
Forest Cover ◽  
Ixodes Scapularis ◽  
Simple Algorithm ◽  
Earth Observation ◽  
Degree Days ◽  
Eastern Canada ◽  
Risk Maps ◽  
Spatio Temporal ◽  
Using Data

Climate change is facilitating the geographic range expansion of populations of the tick vector of Lyme disease Ixodes scapularis in Canada. Here, we characterize and map the spatio-temporal variability of environments suitable for I. scapularis using Earth observation (EO) data. A simple algorithm for I. scapularis occurrence (cumulative degree-days and forest: CSDF) was developed by combining cumulative annual surface degree-days above 0 °C and forest cover. To map the environmental risk of I. scapularis (risk of I. scapularis: RIS) in central and eastern Canada from 2000 to 2015, CSDF was adjusted using data from an I. scapularis population model. CSDF was validated using cumulative annual degree days >0 °C (CADD) from meteorological stations, and CSDF was strongly associated with CADD (n = 52, R2 > 0.86, p < 0.001). Data on field surveillance for I. scapularis ticks (2008 to 2018) were used to validate the risk maps. The presence of I. scapularis ticks was significantly associated with CSDF, and at a limit of 2800, sensitivity approached 100%. RIS increased over the study period, with the highest values in 2012 and the lowest in 2000. The RIS was on average higher in Ontario and Quebec compared to other provinces, and it was higher in the southern parts of the provinces. The proportion of the populated areas with a positive RIS increased on average in central and eastern Canada from 2000 to 2015. Predicted I. scapularis occurrence identifies areas with a more probable risk of tick bites, Lyme disease, and other I. scapularis-borne diseases, which can help guide targeted surveillance, prevention, and control interventions.

scholarly journals Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3245
Author(s):  
Ghady El Khoury ◽  
Massimo Penta ◽  
Olivier Barbier ◽  
Xavier Libouton ◽  
Jean-Louis Thonnard ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Outcome Measurement ◽  
Simple Algorithm ◽  
Natural Environments ◽  
Measurement Units ◽  
Using Data ◽  
Leave One Out ◽  
The Relationship

The ability to monitor activities of daily living in the natural environments of patients could become a valuable tool for various clinical applications. In this paper, we show that a simple algorithm is capable of classifying manual activities of daily living (ADL) into categories using data from wrist- and finger-worn sensors. Six participants without pathology of the upper limb performed 14 ADL. Gyroscope signals were used to analyze the angular velocity pattern for each activity. The elaboration of the algorithm was based on the examination of the activity at the different levels (hand, fingers and wrist) and the relationship between them for the duration of the activity. A leave-one-out cross-validation was used to validate our algorithm. The algorithm allowed the classification of manual activities into five different categories through three consecutive steps, based on hands ratio (i.e., activity of one or both hands) and fingers-to-wrist ratio (i.e., finger movement independently of the wrist). On average, the algorithm made the correct classification in 87.4% of cases. The proposed algorithm has a high overall accuracy, yet its computational complexity is very low as it involves only averages and ratios.

Polar Magnetic Field Reversals of the Sun in Maunder Minimum

2000 ◽  
Vol 179 ◽  
pp. 193-196
Author(s):  
V. I. Makarov ◽  
A. G. Tlatov
Keyword(s):  
Magnetic Field ◽  
Maunder Minimum ◽  
The Sun ◽  
Annual Rings ◽  
Field Reversal ◽  
Polar Magnetic Field ◽  
Pine Trees ◽  
Using Data ◽  
Magnetic Field Reversal

AbstractA possible scenario of polar magnetic field reversal of the Sun during the Maunder Minimum (1645–1715) is discussed using data of magnetic field reversals of the Sun for 1880–1991 and the14Ccontent variations in the bi-annual rings of the pine-trees in 1600–1730 yrs.

Accent Policy and Accent Modification Enterprises as Potential Indicators of Intercultural Power Relations: A Call for an Updated Research Agenda

2013 ◽  
Vol 3 (1) ◽  
pp. 22-33 ◽  
Author(s):  
Brynne D. Ovalle ◽  
Rahul Chakraborty
Keyword(s):  
International Relations ◽  
Identity Construction ◽  
Social Theory ◽  
Power Relations ◽  
Linguistic Diversity ◽  
Cultural Organization ◽  
Using Data ◽  
The Individual ◽  
The Impact ◽  
The Relationship

This article has two purposes: (a) to examine the relationship between intercultural power relations and the widespread practice of accent discrimination and (b) to underscore the ramifications of accent discrimination both for the individual and for global society as a whole. First, authors review social theory regarding language and group identity construction, and then go on to integrate more current studies linking accent bias to sociocultural variables. Authors discuss three examples of intercultural accent discrimination in order to illustrate how this link manifests itself in the broader context of international relations (i.e., how accent discrimination is generated in situations of unequal power) and, using a review of current research, assess the consequences of accent discrimination for the individual. Finally, the article highlights the impact that linguistic discrimination is having on linguistic diversity globally, partially using data from the United Nations Educational, Scientific and Cultural Organization (UNESCO) and partially by offering a potential context for interpreting the emergence of practices that seek to reduce or modify speaker accents.

Modeling Self-Determination Theory Motivation Data by Using Unfolding IRT

2020 ◽  
pp. 1-9
Author(s):  
Philipp A. Freund ◽  
Annette Lohbeck
Keyword(s):  
Ideal Point ◽  
Self Determination Theory ◽  
Self Determination ◽  
Dominance Model ◽  
Irt Model ◽  
Autonomous Behavior ◽  
Location Parameters ◽  
Unfolding Models ◽  
Using Data ◽  
Item Location

Abstract. Self-determination theory (SDT) suggests that the degree of autonomous behavior regulation is a characteristic of distinct motivation types which thus can be ordered on the so-called Autonomy-Control Continuum (ACC). The present study employs an item response theory (IRT) model under the ideal point response/unfolding paradigm in order to model the response process to SDT motivation items in theoretical accordance with the ACC. Using data from two independent student samples (measuring SDT motivation for the academic subjects of Mathematics and German as a native language), it was found that an unfolding model exhibited a relatively better fit compared to a dominance model. The item location parameters under the unfolding paradigm showed clusters of items representing the different regulation types on the ACC to be (almost perfectly) empirically separable, as suggested by SDT. Besides theoretical implications, perspectives for the application of ideal point response/unfolding models in the development of measures for non-cognitive constructs are addressed.

From Bi-Dimensionality to Uni-Dimensionality in Self-Report Questionnaires

2020 ◽  
pp. 1-14 ◽  
Author(s):  
Bjarne Schmalbach ◽  
Markus Zenger ◽  
Michalis P. Michaelides ◽  
Karin Schermelleh-Engel ◽  
Andreas Hinz ◽  
...  
Keyword(s):  
Factor Model ◽  
Common Factor ◽  
Self Regulation ◽  
Model Fit ◽  
Self Report ◽  
External Criterion ◽  
Common Factor Model ◽  
Random Intercept ◽  
Using Data ◽  
Core Self

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.

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