Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229540
S. Krajcovic, J. Silha, R. Durikovic
Space debris objects have undeniably negative effect on currently running and future space-related missions in the form of risking human lives or expensive equipment. Finding, observing and tracking unresponsive space debris objects is critical in preventing collisions with functioning satellites. The most popular systems for observing space debris are optical telescopes. Comenius University in Bratislava has acquired such telescope by applying for and receiving funding from the European Space Agency's Plan For European Cooperating States. This paper presents a short overview of the device's hardware configuration, as well as software packages that are used for image processing of acquired astronomical frames.
{"title":"AGO70: The Slovak Space Debris Observations Capability","authors":"S. Krajcovic, J. Silha, R. Durikovic","doi":"10.1109/NTSP49686.2020.9229540","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229540","url":null,"abstract":"Space debris objects have undeniably negative effect on currently running and future space-related missions in the form of risking human lives or expensive equipment. Finding, observing and tracking unresponsive space debris objects is critical in preventing collisions with functioning satellites. The most popular systems for observing space debris are optical telescopes. Comenius University in Bratislava has acquired such telescope by applying for and receiving funding from the European Space Agency's Plan For European Cooperating States. This paper presents a short overview of the device's hardware configuration, as well as software packages that are used for image processing of acquired astronomical frames.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132169464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229529
J. Novotňák, Zoltán Szöke, M. Šmelko, P. Lipovský, M. Fil'ko, M. Kosuda
The paper deals with the design and implementation of filtering algorithms for the measurement system of unmanned aerial vehicles (VAV) parameters. This filtration is necessary for a more accurate future conversion of motor thrust ratios to position angles. The author deals with the use of exponential moving average (EMA), double exponential moving average (DEMA) and triple exponential moving average (TEMA) filters in combination with a moving window median (MWM) filter. The work compares the original measured signal and the signal after filtration by the individual designed filters. The paper also deals with the comparison of the efficiency of individual filters by changing the time constant of exponential filters.
{"title":"Simple Filtering Algorithms for the Needs of Measuring UAV Parameters","authors":"J. Novotňák, Zoltán Szöke, M. Šmelko, P. Lipovský, M. Fil'ko, M. Kosuda","doi":"10.1109/NTSP49686.2020.9229529","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229529","url":null,"abstract":"The paper deals with the design and implementation of filtering algorithms for the measurement system of unmanned aerial vehicles (VAV) parameters. This filtration is necessary for a more accurate future conversion of motor thrust ratios to position angles. The author deals with the use of exponential moving average (EMA), double exponential moving average (DEMA) and triple exponential moving average (TEMA) filters in combination with a moving window median (MWM) filter. The work compares the original measured signal and the signal after filtration by the individual designed filters. The paper also deals with the comparison of the efficiency of individual filters by changing the time constant of exponential filters.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114612129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229538
M. Paralic
In the renewal energy mined from solar panels is essential to know the future amount of produced energy. The sun is a relatively stable source of energy, and we can precisely estimate extra-terrestrial sun intensity based on the hour of the day, day of the year, and respectful distance from the sun. The incident solar radiation hitting the Earth is affected by the Earth's atmosphere, climate, and the density of clouds. We need to predict sky clearness, respectively the density of clouds in the sky. This paper deals with sky clouds density estimation using a statistical approach. The data are acquired by a terrestrial fisheye camera facing the sky. In the first step, the various sky types were manually annotated to segment sky into artifacts - sun, clear sky, partial clouds, clouds, and terrestrial background. We used the set of Gaussian Mixture Models for the classification of such artifacts. We optimized the number of components in mixtures appropriate to different class requirements. The result of modelling should be the prediction of clouds density depending on the image captured by the fish-eye camera.
{"title":"Statistical Approach for Sky Clouds Density Classification","authors":"M. Paralic","doi":"10.1109/NTSP49686.2020.9229538","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229538","url":null,"abstract":"In the renewal energy mined from solar panels is essential to know the future amount of produced energy. The sun is a relatively stable source of energy, and we can precisely estimate extra-terrestrial sun intensity based on the hour of the day, day of the year, and respectful distance from the sun. The incident solar radiation hitting the Earth is affected by the Earth's atmosphere, climate, and the density of clouds. We need to predict sky clearness, respectively the density of clouds in the sky. This paper deals with sky clouds density estimation using a statistical approach. The data are acquired by a terrestrial fisheye camera facing the sky. In the first step, the various sky types were manually annotated to segment sky into artifacts - sun, clear sky, partial clouds, clouds, and terrestrial background. We used the set of Gaussian Mixture Models for the classification of such artifacts. We optimized the number of components in mixtures appropriate to different class requirements. The result of modelling should be the prediction of clouds density depending on the image captured by the fish-eye camera.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123417778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229532
R. Vrskova, R. Hudec, P. Sykora, P. Kamencay, M. Benco
Detection of video information is a great help in classifying non-standard / abnormal human behavior. It is more difficult to detect objects from videos when information in videos are time bound to each other. In this paper we discuss the need to detect and classify this data. Also, we try to improve classification process by various methods. A specially modified convolution neural network architecture was used along with Long Short-Term Memory (LSTM) and time distribution in experiment. Convolution neural layers for 2D data, in architecture were used.
{"title":"Violent Behavioral Activity Classification Using Artificial Neural Network","authors":"R. Vrskova, R. Hudec, P. Sykora, P. Kamencay, M. Benco","doi":"10.1109/NTSP49686.2020.9229532","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229532","url":null,"abstract":"Detection of video information is a great help in classifying non-standard / abnormal human behavior. It is more difficult to detect objects from videos when information in videos are time bound to each other. In this paper we discuss the need to detect and classify this data. Also, we try to improve classification process by various methods. A specially modified convolution neural network architecture was used along with Long Short-Term Memory (LSTM) and time distribution in experiment. Convolution neural layers for 2D data, in architecture were used.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132134592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229548
M. Turčaník
Aim of this paper is to analyse possibility of cluster users of a selected network on the base of their browsing behaviour. Source of information is web access log file which consist of all the important information. Paper presents idea of pre-processing of information from a web access log file and it also presents K-means clustering algorithm used for identification of user groups on the base of their behaviour on the internet. Presented methodology can be used in the area of cyber defence also for other tasks.
{"title":"Web Users Clustering by their Behaviour on the Network","authors":"M. Turčaník","doi":"10.1109/NTSP49686.2020.9229548","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229548","url":null,"abstract":"Aim of this paper is to analyse possibility of cluster users of a selected network on the base of their browsing behaviour. Source of information is web access log file which consist of all the important information. Paper presents idea of pre-processing of information from a web access log file and it also presents K-means clustering algorithm used for identification of user groups on the base of their behaviour on the internet. Presented methodology can be used in the area of cyber defence also for other tasks.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"29 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229528
Vojtěch Valenta, J. Pidanic, Ondrej Nemec
This paper presents an approach to manage metadata (target class labels) for the recorded primary Doppler radar data. This information is necessary for further research and development of target classification algorithms. For this purpose, a labelling methodology and an application radar data analysis and target labelling was developed. The application includes radar records file processing, Doppler filtering, tag creation, data visualizationand tag database. For the better context of analysed data, an interface to Geographic Information Software (GIS) program is included as well. GIS program allows overlaying radar Plan Position Indicator (PPI) data with map data, airplane transponder tracks, drone flight path log and other support data. Finally, the application notes and observations are presented.
{"title":"The Process of Metadata Management for Radar Target Classification Algorithm Development","authors":"Vojtěch Valenta, J. Pidanic, Ondrej Nemec","doi":"10.1109/NTSP49686.2020.9229528","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229528","url":null,"abstract":"This paper presents an approach to manage metadata (target class labels) for the recorded primary Doppler radar data. This information is necessary for further research and development of target classification algorithms. For this purpose, a labelling methodology and an application radar data analysis and target labelling was developed. The application includes radar records file processing, Doppler filtering, tag creation, data visualizationand tag database. For the better context of analysed data, an interface to Geographic Information Software (GIS) program is included as well. GIS program allows overlaying radar Plan Position Indicator (PPI) data with map data, airplane transponder tracks, drone flight path log and other support data. Finally, the application notes and observations are presented.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125332259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229530
Bohumil Brtnik, D. Matousek
The discrete-time signal processing circuit requires an anti-aliasing filter at the input and a reconstruction filter at the output, generally. In this paper, selected basic structures of some high order filters are described and compared with a view to the degradation of the attenuation over the transient frequency of the operational amplifier. Firstly, the reasons for the degradation of the attenuation are explained theoretically. Secondly, these conclusions are verified by simulations. These simulations were performed by spice-like circuit simulator MicroCap version 11.
{"title":"Active RC High Order Filters Suitable for Antialiasing and/or Reconstruction Filters","authors":"Bohumil Brtnik, D. Matousek","doi":"10.1109/NTSP49686.2020.9229530","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229530","url":null,"abstract":"The discrete-time signal processing circuit requires an anti-aliasing filter at the input and a reconstruction filter at the output, generally. In this paper, selected basic structures of some high order filters are described and compared with a view to the degradation of the attenuation over the transient frequency of the operational amplifier. Firstly, the reasons for the degradation of the attenuation are explained theoretically. Secondly, these conclusions are verified by simulations. These simulations were performed by spice-like circuit simulator MicroCap version 11.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126479677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229550
M. Kosuda, P. Lipovský, Zoltán Szöke, M. Fil'ko, J. Novotňák, F. Hesko
This paper provides a brief overview of the UTM structure focusing on technological capabilities outlined for robust communication. Selected general aspects for UAS communication link consideration were introduced as well as two potential candidates. The core of this paper examines a MAVLink communication protocol as potential candidate for data exchange medium betweenU TM provider and UVS to aggregate necessary data and information for unmanned traffic management such as remote identification, flight approval, tracking and traffic monitoring.
{"title":"MAVLink Messaging Protocol as Potential Candidate for the UTM Communication","authors":"M. Kosuda, P. Lipovský, Zoltán Szöke, M. Fil'ko, J. Novotňák, F. Hesko","doi":"10.1109/NTSP49686.2020.9229550","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229550","url":null,"abstract":"This paper provides a brief overview of the UTM structure focusing on technological capabilities outlined for robust communication. Selected general aspects for UAS communication link consideration were introduced as well as two potential candidates. The core of this paper examines a MAVLink communication protocol as potential candidate for data exchange medium betweenU TM provider and UVS to aggregate necessary data and information for unmanned traffic management such as remote identification, flight approval, tracking and traffic monitoring.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134025356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229543
J. Perdoch, S. Gazovová, Z. Matousek, J. Ochodnicky
Ability to automatically identify objects of interest and to automatically classify their signals belongs to essential functionalities of electronic intelligence systems. Objects identification results and signals classification results are conditioned by accurate measurement and technical analysis of objects signal parameters. Classification algorithm based on Feedforward Neural Network, and classification algorithms based on Support-Vector Machine, with three types of Kernel Function, are tested and compared in this paper as the first stage of objects identification in electronic intelligence systems.
{"title":"Comparison of Artificial Intelligence Algorithms for ELINT Signals Classification","authors":"J. Perdoch, S. Gazovová, Z. Matousek, J. Ochodnicky","doi":"10.1109/NTSP49686.2020.9229543","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229543","url":null,"abstract":"Ability to automatically identify objects of interest and to automatically classify their signals belongs to essential functionalities of electronic intelligence systems. Objects identification results and signals classification results are conditioned by accurate measurement and technical analysis of objects signal parameters. Classification algorithm based on Feedforward Neural Network, and classification algorithms based on Support-Vector Machine, with three types of Kernel Function, are tested and compared in this paper as the first stage of objects identification in electronic intelligence systems.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"234-235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.1109/NTSP49686.2020.9229527
Josef Jordán, Bohumil Brtnik
The actual question in the area of circuit analysis and synthesis methods is the problem of sensitivity determination. The proposed approaches for sensitivity calculation are directed to the obtaining of a symbolic form and to avoiding the direct differentiation by using a signal-flow graph. Interesting results in this topic are based on Mason's graphs, and Coates' graphs. This paper presents the comparison of some methods to finding the sensitivity to transfer branch: previously published algebraic method and proposed SFG method.
{"title":"Finding the Sensitivity to Transfer Branch by Graphs","authors":"Josef Jordán, Bohumil Brtnik","doi":"10.1109/NTSP49686.2020.9229527","DOIUrl":"https://doi.org/10.1109/NTSP49686.2020.9229527","url":null,"abstract":"The actual question in the area of circuit analysis and synthesis methods is the problem of sensitivity determination. The proposed approaches for sensitivity calculation are directed to the obtaining of a symbolic form and to avoiding the direct differentiation by using a signal-flow graph. Interesting results in this topic are based on Mason's graphs, and Coates' graphs. This paper presents the comparison of some methods to finding the sensitivity to transfer branch: previously published algebraic method and proposed SFG method.","PeriodicalId":197079,"journal":{"name":"2020 New Trends in Signal Processing (NTSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114293203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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