{"title":"Spectrum's definition, Fourier transform's cross-correlation and compensation properties in ISAR imaging","authors":"A. Lazarov, D. Minchev, A. Dimitrov","doi":"10.1145/3357767.3357770","DOIUrl":"https://doi.org/10.1145/3357767.3357770","url":null,"abstract":"In the present work an original interpretation of the Inverse Synthetic Aperture (ISAR) signal formation and image reconstruction based on spectral, cross-correlation and compensation properties of the Fourier transform (FT) is suggested. The ISAR signal is interpreted as a spatial spectrum obtained by Fourier transform of the object image function (distribution of scattering points intensities), whereas the image reconstruction is considered as inverse Fourier transform (IFT) of the spatial spectrum. In that sense, IFT acts as a cross-correlation and phase or motion compensation procedure. To disclose these properties preliminary specific parametric continuous time analysis and discrete time analysis of classical Fourier transformations are performed. Illustrative example with a mathematical description of a linear frequency modulated (LFM) ISAR signal formation and image extraction is thoroughly discussed. To verify analytical statements results of a numerical experiment are provided.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115683590","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}
V. Georgieva, P. Petrov, R. Mironov, Antonia Mihaylova
{"title":"An approach for microscopy image restoration","authors":"V. Georgieva, P. Petrov, R. Mironov, Antonia Mihaylova","doi":"10.1145/3357767.3357772","DOIUrl":"https://doi.org/10.1145/3357767.3357772","url":null,"abstract":"The blind deconvolution algorithms are widely used in microscopy image restoration. However in more of the biological and biomedical experiments due to high level of noise, it is difficult to obtain good results. The blind deconvolution algorithm can be effectively applied when no information about the blurring and noise is given. In addition, a modified homomorphic filter based on wavelet decomposition is a frequently used instrument for noise reduction. In this paper, we propose an integrated approach that combines properties of blind deconvolution and modified homomorphic filter based on adaptive wavelet packet decomposition for noise reduction. As next, for contrast enhancement gamma correction is applied. We have made a quantitative analysis of the quality achieved by the proposed approach over deconvolution schemes, based on classical Richardson-Lucy algorithm and wavelet discrete transformation by experiments with real microscopy images. To prove our approach and theoretical statements results of laboratory experiments are suggested.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114486526","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}
Magdalena Garvanova, I. Garvanov, C. Kabakchiev, B. Shishkov
{"title":"Measuring and clustering moving objects","authors":"Magdalena Garvanova, I. Garvanov, C. Kabakchiev, B. Shishkov","doi":"10.1145/3357767.3357776","DOIUrl":"https://doi.org/10.1145/3357767.3357776","url":null,"abstract":"Gathering and processing data is essential as it concerns (road) traffic surveillance and management. Nevertheless, most of the current solutions concerning this are either insufficiently aligned with the corresponding real-life business processes, or are too expensive, or are not enough \"interdisciplinary\". We propose an approach that is claimed to be not only easy-to-implement but also not expensive to facilitate. The approach allows for clustering the \"observed\" moving vehicles and the data gathering is essentially based on a Forward Scattering (FS) radar. Such a solution offers a number of features such as: relatively simple hardware, an enhanced target radar cross section (compared to traditional radar), a long coherent interval of the receiving signal, robustness to stealth technology, and possible operation using non-cooperative transmitters. Further, a FS-based vehicle detection would not pollute the radio distribution with additional radio signals. Finally, the presence of GPS signals anywhere allows for a worldwide use. The data-analytics-related tasks (that are essentially driven by Machine Learning) are realized using tools, such as IBM SPSS Statistics and K-Means Cluster Analysis. The strengths of the proposed approach are partially justified by experimental data that is however only limited to the approach itself. Said otherwise, broader validation studies have not yet been conducted, such that the proposed approach is \"compared\" to other existing solutions. This is planned as future research. Still, the initial results obtained inspire us already to expect that the proposed signal processing of GPS signal shadows combined with Machine Learning can be successfully applied in practice for clustering moving objects in general, and in particular - for clustering vehicles in the context of road traffic.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127249319","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}
{"title":"Ethical hacking for boosting IoT vulnerability management: a first look into bug bounty programs and responsible disclosure","authors":"A. Ding, Gianluca Limon De Jesus, M. Janssen","doi":"10.1145/3357767.3357774","DOIUrl":"https://doi.org/10.1145/3357767.3357774","url":null,"abstract":"The security of the Internet of Things (IoT) has attracted much attention due to the growing number of IoT-oriented security incidents. IoT hardware and software security vulnerabilities are exploited affecting many companies and persons. Since the causes of vulnerabilities go beyond pure technical measures, there is a pressing demand nowadays to demystify IoT \"security complex\" and develop practical guidelines for both companies, consumers, and regulators. In this paper, we present an initial study targeting an unexplored sphere in IoT by illuminating the potential of crowdsource ethical hacking approaches for enhancing IoT vulnerability management. We focus on Bug Bounty Programs (BBP) and Responsible Disclosure (RD), which stimulate hackers to report vulnerability in exchange for monetary rewards. We carried out a qualitative investigation supported by literature survey and expert interviews to explore how BBP and RD can facilitate the practice of identifying, classifying, prioritizing, remediating, and mitigating IoT vulnerabilities in an effective and cost-efficient manner. Besides deriving tangible guidelines for IoT stakeholders, our study also sheds light on a systematic integration path to combine BBP and RD with existing security practices (e.g., penetration test) to further boost overall IoT security.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134131082","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}
{"title":"Pulsar signal detection and recognition","authors":"I. Garvanov, Magdalena Garvanova, C. Kabakchiev","doi":"10.1145/3357767.3357771","DOIUrl":"https://doi.org/10.1145/3357767.3357771","url":null,"abstract":"Pulsars are fast rotating neutron stars that emit radio waves. As it concerns received signals ranged from -90dB to -40dB, the signal-to-noise ratio (SNR) is very low. This is the main limitation regarding the use of pulsar signals in practice. In the current paper, we offer an innovative complex algorithm for detection and recognition of a pulsar signal, which in turn contains several basic algorithms: signal denoising algorithm using Wavelet transform, jumping average filter, Constant False Alarm Rate (CFAR) detection, parameter estimation, epoch folding and recognition algorithm. We have achieved partial verification, by considering a real pulsar signal from pulsar B0329+54, obtained by the Radio Telescope in Westerbork, The Netherlands. We hence argue that the combination of those algorithms can improve the signal-to-noise ratio, detection and recognition probability, which is the most important finding and contribution of the current study.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128453682","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}
{"title":"Sigma shift keying (SSK): FPGA implementation","authors":"Martin Kramer, Leon Reinschmidt","doi":"10.1145/3357767.3357769","DOIUrl":"https://doi.org/10.1145/3357767.3357769","url":null,"abstract":"In this paper, a field-programmable gate array (FPGA) implementation will be presented of a Sigma Shift Keying (SSK) demodulator with optimized detector. Standard deviations of zero mean Gaussian noise signals are being digitally modulated instead of shift keying of a sinusoidal carrier signal. Minimal transmit power output and very low probability of intercept (POI) are the advantages of SSK. Demodulation by means of a stand-alone FPGA system is the final step following our comprehensive theoretical analyses and simulations. These practical tests of the real-time system complete our research activities. Theoretical guidelines are derived for the calculation of the optimal decision thresholds. An overall system test and a comparison of bit error rate (BER) curves both demonstrate the successful operation of the SSK modem.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"AES-20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552337","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}
{"title":"Choice of a model of the ionosphere to use in high latitudes","authors":"O. Maltseva","doi":"10.1145/3357767.3357768","DOIUrl":"https://doi.org/10.1145/3357767.3357768","url":null,"abstract":"Recently, interest in the high-latitudinal zone of the ionosphere has increased, in particular, several special satellite experiments have been proposed for studying this zone. One of the forms for setting the conditions of the ionosphere is the use of empirical models. Recently, SIMP and E-CHAIM models have been developed, aimed at improving the setting of parameters in this particular area, in addition to the traditionally used IRI model. In this paper, we compare the observational critical frequencies foF2(obs) with the model frequencies in accordance with 4 options: 1) model IRI2016, 2) model SIMP, 3) model E-CHAIM, 4) join usage of observational values of TEC(obs) and the median of the equivalent ionospheric slab thickness τ(med) according to Longyearbyen station in 2010-2014. In addition, the previous results of the IRI2016 model comparison with experiment according to data from other Russian stations are complemented by a comparison with the SIMP and E-CHAIM models. Special attention is paid to disturbed conditions. It is proposed to use in these cases the total electron content TEC. Comparison of the model values of foF2 and experimental medians showed that the IRI and SIMP models do not have advantages against each other, the E-CHAIM model provides 1.5 times the best fit: the average absolute deviations for 5 years were 0.49 MHz for the IRI model, 0.52 MHz for the SIMP model and 0.31 MHz for the E-CHAIM model. The relative deviations were 13.36%, 13.88% and 8.42%, respectively. The E-CHAIM model has an even greater advantage in obtaining foF2 during disturbances: it reflects positive and negative daytime disturbances, nightly enhancements of ionization.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525369","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}
{"title":"Low cost V2X traffic lights and vehicles communication solution for dynamic routing","authors":"Konstantinos Skoufas, E. Spyrou, D. Mitrakos","doi":"10.1145/3357767.3357775","DOIUrl":"https://doi.org/10.1145/3357767.3357775","url":null,"abstract":"With the utilization of GPS and information systems, routing has become a major aspect of the transport sector. Problems like traffic congestion and CO2 pollution can be alleviated by using vehicle routing and vehicular networks. Moreover, the introduction of Internet of Things devices that provide vehicle-to-vehicle and vehicle-to-infrastructure solutions, has made vehicular communications to reach a new level, and therefore vehicle routing has become more feasible. In this paper, we design and build a low cost system with the purpose of performing optimal routing. The system consists of two vehicle-to-everything (V2X) wireless devices and a central server. Both of the devices and the server cooperate to create an Internet of Vehicles (IoV) network which gathers data according to the real time traffic conditions. With the data gathered by the system, the optimal routing is achieved by implementing a backpressure algorithm; thus, we need to extract a metric called backpressure weight from the collected data. The vehicle detection and counting is the key to that metric and based on the literature and by conducting experiments, we find the appropriate vehicle detection method that suits our low cost system. Finally, by obtaining air quality data, we can find the impact of optimal routing to pollution.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":" 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133051830","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}
Shiori Ishikuro, J. Hashimoto, Y. Okuyama, Xiang Li
{"title":"Applying sparse based spatial super-resolution for Himawari-8 satellite image","authors":"Shiori Ishikuro, J. Hashimoto, Y. Okuyama, Xiang Li","doi":"10.1145/3357767.3357773","DOIUrl":"https://doi.org/10.1145/3357767.3357773","url":null,"abstract":"Super-resolution for meteorological satellite images is expected to improve the accuracy performance in the systems such as elucidations of meteorological, solar irradiance estimation, utilization of photovoltaic power generation, storage batteries and electric vehicles. While various super-resolution studies have been conducted for planimetric features, there seldom exists for meteorological features. In this study, we apply sparse based super-resolution for meteorological satellite images and verify the characteristics of error between original high-resolution image and super-resolution results. We confirmed super-resolution by sparse-based method which keeps the boundary feature of clouds. A sparse constraint gains an advantage for cloud image which contains boundary features from the meteorological satellite. The peak signal-to-noise ratio by the sparse based method was improved 1.43dB at the maximum compared with bicubic interpolation. On the other hand, we show that the sparse-based method still needs further studies to handle the blurry cloud and absent cloud situations.","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199360","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}
{"title":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","authors":"","doi":"10.1145/3357767","DOIUrl":"https://doi.org/10.1145/3357767","url":null,"abstract":"","PeriodicalId":190259,"journal":{"name":"Proceedings of the Eighth International Conference on Telecommunications and Remote Sensing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132821755","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}