Pub Date : 2022-10-12DOI: 10.23919/NTSP54843.2022.9920437
J. Perdoch, Z. Matousek, M. Pacek, S. Gazovová, J. Ochodnicky
This paper presents the algorithm for generating radar matrices on pulse radar digital phase detector output. The algorithm is based on mathematical analysis of digital phase detector output signals, described in detail thereunder. The algorithm includes generation of moving target signals, non-moving targets (clutter) signals and noise signals. There is possibility of transformation generated radar matrices into the Range-Doppler maps forms as well. The aim of this paper is to demonstrate potential approach in generating radar matrices for radar signal processing algorithms validation.
{"title":"Generating Data Matrices on Pulse Radar Phase Detector Output","authors":"J. Perdoch, Z. Matousek, M. Pacek, S. Gazovová, J. Ochodnicky","doi":"10.23919/NTSP54843.2022.9920437","DOIUrl":"https://doi.org/10.23919/NTSP54843.2022.9920437","url":null,"abstract":"This paper presents the algorithm for generating radar matrices on pulse radar digital phase detector output. The algorithm is based on mathematical analysis of digital phase detector output signals, described in detail thereunder. The algorithm includes generation of moving target signals, non-moving targets (clutter) signals and noise signals. There is possibility of transformation generated radar matrices into the Range-Doppler maps forms as well. The aim of this paper is to demonstrate potential approach in generating radar matrices for radar signal processing algorithms validation.","PeriodicalId":103310,"journal":{"name":"2022 New Trends in Signal Processing (NTSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123733132","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 : 2022-10-12DOI: 10.23919/NTSP54843.2022.9920378
Milan Cucka, David Grenar, Jakub Frolka, J. Vavra, K. Slávicek, M. Kyselak
The new multistate modulation formats for optical communications like PAM4 are becoming increasingly popular. Before putting equipment using this modulation format in service, we intended to learn its properties and limitations. We had a chance to simulate this modulation on Rsoft Optisim and test real modules on the existing fiber optics network. This article compares bit error rate results on simulated and real fiber lines of Brno Universities. It also tests the maximum possible data transmission distance using the Small Form-factor Pluggable (SFP) module QSFP28-FR PAM 4.
{"title":"Simulation and Measurement of Optical Networks 10 and 100 Gb/s","authors":"Milan Cucka, David Grenar, Jakub Frolka, J. Vavra, K. Slávicek, M. Kyselak","doi":"10.23919/NTSP54843.2022.9920378","DOIUrl":"https://doi.org/10.23919/NTSP54843.2022.9920378","url":null,"abstract":"The new multistate modulation formats for optical communications like PAM4 are becoming increasingly popular. Before putting equipment using this modulation format in service, we intended to learn its properties and limitations. We had a chance to simulate this modulation on Rsoft Optisim and test real modules on the existing fiber optics network. This article compares bit error rate results on simulated and real fiber lines of Brno Universities. It also tests the maximum possible data transmission distance using the Small Form-factor Pluggable (SFP) module QSFP28-FR PAM 4.","PeriodicalId":103310,"journal":{"name":"2022 New Trends in Signal Processing (NTSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114240702","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 : 2022-10-12DOI: 10.23919/NTSP54843.2022.9920420
Adam Štěch, R. Hudec, P. Kamencay
The aim of the article is to create 3D models from devices that are designed primarily for video creation and compare them with the reference model. In the experiment, 3D models were created from Blackmagic 4K, iPhone 12 Pro, ELP camera and Logitech 4K webcam. When creating the dataset, the same conditions were as resolution, number of frames, diffuse lighting, shooting angles, and the step of removing frames from the video. The processing of the created data took place in the commercial program Agisoft Metashape professional. Comparing models from the iPhone 12 Pro, EPL camera and Logitech 4K webcam, we found that there is a difference between the models created. As part of the model alignment, we found that we can see differences between the models.
{"title":"Comparison of Various 4K Camera Systems for Photogrammetric Modeling","authors":"Adam Štěch, R. Hudec, P. Kamencay","doi":"10.23919/NTSP54843.2022.9920420","DOIUrl":"https://doi.org/10.23919/NTSP54843.2022.9920420","url":null,"abstract":"The aim of the article is to create 3D models from devices that are designed primarily for video creation and compare them with the reference model. In the experiment, 3D models were created from Blackmagic 4K, iPhone 12 Pro, ELP camera and Logitech 4K webcam. When creating the dataset, the same conditions were as resolution, number of frames, diffuse lighting, shooting angles, and the step of removing frames from the video. The processing of the created data took place in the commercial program Agisoft Metashape professional. Comparing models from the iPhone 12 Pro, EPL camera and Logitech 4K webcam, we found that there is a difference between the models created. As part of the model alignment, we found that we can see differences between the models.","PeriodicalId":103310,"journal":{"name":"2022 New Trends in Signal Processing (NTSP)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116061085","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 : 2022-10-12DOI: 10.23919/NTSP54843.2022.9920414
Sebastián Potocký, J. Stulrajter
The main prerequisite to extract data from a smartphone or exploit the device is to bypass its lock screen protection. The Human Interface Device (HID) attack is a promising method to break the Android lock screen protection. An attacker can use a smartphone as an attack device. Therefore, this attack can be carried out unnoticed in some cases. This work describes a way to effectively detect the HID attack, whether attack was executed successful or failed, determines its time frame and compares the outputs of several devices from different manufacturers and points out the connections and differences between them. The work examines the defense strategy against HID attack and prevention before losing data in buffers.
{"title":"The Human Interface Device Attack from the Perspective of the Attacker and the Forensic Analyst","authors":"Sebastián Potocký, J. Stulrajter","doi":"10.23919/NTSP54843.2022.9920414","DOIUrl":"https://doi.org/10.23919/NTSP54843.2022.9920414","url":null,"abstract":"The main prerequisite to extract data from a smartphone or exploit the device is to bypass its lock screen protection. The Human Interface Device (HID) attack is a promising method to break the Android lock screen protection. An attacker can use a smartphone as an attack device. Therefore, this attack can be carried out unnoticed in some cases. This work describes a way to effectively detect the HID attack, whether attack was executed successful or failed, determines its time frame and compares the outputs of several devices from different manufacturers and points out the connections and differences between them. The work examines the defense strategy against HID attack and prevention before losing data in buffers.","PeriodicalId":103310,"journal":{"name":"2022 New Trends in Signal Processing (NTSP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592463","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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