R. Fujdiak, M. Orgon, J. Hallon, Lukas Potisk, J. Slacik, P. Mlynek, J. Misurec
{"title":"Radiation of an Electromagnetic Field from the Power Line Communication Adapters","authors":"R. Fujdiak, M. Orgon, J. Hallon, Lukas Potisk, J. Slacik, P. Mlynek, J. Misurec","doi":"10.1109/TSP.2018.8441455","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441455","url":null,"abstract":"Nowadays, one of the possibilities of broadband Internet connection is the use of Power Line Communication (PLC) technology through PLC adapters. Despite the fact that PLC adapters are sharing the power line with other electrical appliances, it is necessary to determine the electromagnetic field radiation of these adapters. Therefore, the electromagnetic compatibility (EMC) measurements for the five different PLC adapters, commonly used in broadband IP services in a multiuser environment, were performed. Moreover, our Electromagnetic Compatibility Laboratory (EMC Lab), equipped with up-to-date EMC technology, was used for this research.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115479554","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":"The Performance of the IEEE 802.11 DCF for Different Contention Window in VANETs","authors":"Muhammet Ali Karabulut, A. Shah, H. Ilhan","doi":"10.1109/TSP.2018.8441481","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441481","url":null,"abstract":"In this paper, an analytical model is developed to investigate the performance of the IEEE 802.11 Distributed Coordination Function (DCF) for different contention window in vehicular ad hoc networks (VANETs). The relationship between performance metrics and contention window size is derived by analytical analysis based on two-dimensional (2D) Markov chain model. The channel busy probability, successful transmission probability, collision probability, throughput and packet dropping rate (PDR) are obtained. The simulation result is also demonstrated to understand the performance of IEEE 802.11 DCF in VANETs for different contention window.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"719 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122000201","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":"Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals","authors":"D. Luengo, David Meltzer, T. Trigano","doi":"10.1109/TSP.2018.8441329","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441329","url":null,"abstract":"The electrocardiogram (ECG) was the first biomedical signal where digital signal processing techniques were extensively applied. By its own nature, the ECG is typically a sparse signal, composed of regular activations (the QRS complexes and other waveforms like the P and T waves) and periods of inactivity (corresponding to isoelectric intervals like the PQ or ST segments), plus noise and interferences. In this work, we show how to construct a realistic multi-scale dictionary using waveforms recorded from realworld patients and how to apply this dictionary to obtain a sparse representation of ECG signals. Simulations on realworld records from Physionet show the good performance of the proposed approach.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121395848","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":"Effect of Low-Pass Filters as a Shi-Tomasi Corner Detector's Window Functions","authors":"Lubas Juranek, J. Stastný, V. Skorpil","doi":"10.1109/TSP.2018.8441178","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441178","url":null,"abstract":"The aim of this paper is to introduce an innovative way of using a low-pass spatial filter instead of window function of Shi- Tomasi corner detector, which is an enhancement of the Harris corner detector. The paper thus includes verification of the validity of this method on a reference image, and a comparison of different low-pass filters on test images. Particular spatial filters are linear smoothing filters mean filtering and Gaussian blur, and non-linear median filtering. The reason for this is to get an easy-to-implement algorithm for different architectures, such as a graphics card using shaders, which will allow fast processing of the input image even in real-time applications on less powerful devices, for example smartphones. This method can be applied not only to Shi-Tomasi corner detector, but also contains a formula for its use in the classic Harris corner detector. After a corresponding conversion of the evaluation function, the method can also be used for other variants of this corner detector, such as Noble detector.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"133 49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121045161","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":"Reconfigurable Impedance Converter for Synthesis of Integer and Fractional-Order Synthetic Elements","authors":"Ondrej Domansky, R. Sotner, L. Langhammer","doi":"10.1109/TSP.2018.8441376","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441376","url":null,"abstract":"This paper introduces a practical and straightforward view on the design of circuit based on electronically controllable current conveyors (ECCIIs), wide-band operational transconductance amplifier (OTA), voltage buffer (BUF) and four quadrant current-mode multiplier. All these elements are implemented for the possibility of multiple electronical tunability (via DC voltage parameters VSET) of the resulting specific reconfigurable impedance converter of the integer-order as well as the fractional-order. This solution leads to circuit with electronically controllable input impedance (L_{eq}, lossy/lossless character). A constant phase element (CPE) is tested in this converter in order to maintain a constant phase response (for phase response ϵ=30o resulting from order 1/3) and phase ripple in a specific frequency band. All theoretical assumptions are supported by PSpice simulations.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122728874","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}
R. Sotner, J. Jerabek, J. Petrzela, L. Langhammer, Ondrej Domansky, W. Jaikla, T. Dostál
{"title":"Reconnection-less Reconfigurable Filter and its Application into Adaptive Circuit","authors":"R. Sotner, J. Jerabek, J. Petrzela, L. Langhammer, Ondrej Domansky, W. Jaikla, T. Dostál","doi":"10.1109/TSP.2018.8441388","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441388","url":null,"abstract":"This paper presents special topology of a reconnection-less reconfigurable second-order filter. Its features of available transfer functions are unique, because none of the previously reported solutions provides similar features. Our concept is easily implementable thanks to the simple commercial active devices as shown in the paper. The design specifications and transfer responses are analyzed by PSpice simulations. Application example of the high-pass response with adjustable low-frequency stop-band attenuation in adaptive signal processing is shown. All results are following theoretical expectations.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124164033","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":"Road Detection and Segmentation from Aerial Images Using a CNN Based System","authors":"L. Ichim, D. Popescu","doi":"10.1109/TSP.2018.8441366","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441366","url":null,"abstract":"This paper proposes a system architecture based on deep convolutional neural network (CNN) for road detection and segmentation from aerial images. These images are acquired by an unmanned aerial vehicle implemented by the authors. The algorithm for image segmentation has two phases: the learning phase and the operating phase. The input aerial images are decomposed in their color components, preprocessed in Matlab on Hue channel and next partitioned in small boxes of dimension 33 × 33 pixels using a sliding box algorithm. These boxes are considered as inputs into a deep CNN. The CNN was designed using MatConvNet and has the following structure: four convolutional layers, four pooling layers, one ReLu layer, one full connected layer, and a Softmax layer. The whole network was trained using a number of 2,000 boxes. The CNN was implemented using programming in MATLAB on GPU and the results are promising. The proposed system has the advantage of processing speed and simplicity.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129686510","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":"Robotic Arm Control with Hand Movement Gestures","authors":"S. Bularka, R. Szabó, M. Otesteanu, M. Babaita","doi":"10.1109/TSP.2018.8441341","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441341","url":null,"abstract":"This paper presents an application on how to control a robotic arm with the hand movement of the operator. Hand movement controlled robotic arms can move more naturally by following the movement of the operator's hand. The implementation is done in two versions. The first one uses the accelerometer from a smart watch and based on the operator's hand movements the robotic arm is controlled. The second one uses the accelerometer from a smart phone and moves the robotic arm accordingly. With the smart phone the robotic arm can be controlled in two ways by finger gestures on the touch screen or by moving the phone in the air. The smart phone connects to a computer which controls the robotic arm by sending commands on the serial interface. The smart phone can connect to the computer via Wi-Fi or Bluetooth. The smart watch connects to the computer via a special wireless protocol using a USB wireless stick, shipped with the smart watch.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193188","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":"Fractional-order Lowpass Elliptic Responses of (1+α)-order Transfer Functions","authors":"T. Freeborn, D. Kubánek, J. Koton, Jan Dvorak","doi":"10.1109/TSP.2018.8441421","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441421","url":null,"abstract":"In this paper a least squares fitting is applied to determine the coefficients of a fractional-order transfer function that approximates the passband and stopband ripple characteristics of a second-order Elliptic lowpass filter. These fittings are applied to three different frequency ranges to evaluate the impact of the selection of approximated frequency band on the determined coefficients and the transfer function magnitude characteristics. MATLAB simulations of (1+ɑ) order lowpass magnitude responses with fractional steps from ɑ=0.1 to ɑ=0.9 are given as examples to highlight the fractional-step compared to the second-order Elliptic response. Further, MATLAB simulations of the (1+ɑ)=1.25 and 1.75 using all three sets of coefficients determined using different frequency bands are given as examples to highlight their differences.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127253384","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":"MQTT-G: A Publish/Subscribe Protocol with Geolocation","authors":"R. Bryce, T. Shaw, Gautam Srivastava","doi":"10.1109/TSP.2018.8441479","DOIUrl":"https://doi.org/10.1109/TSP.2018.8441479","url":null,"abstract":"Message Queue Transport Telemetry or MQTT is an open source publisher/subscriber standard for M2M (Machine to Machine) communication. This makes it highly suitable for Internet of Things (IoT) messaging situations where power usage is at a premium or in mobile devices such as phones, embedded computers or microcontrollers. In its original state, MQTT is lacking the ability to broadcast geolocation as part of the protocol. In today's age of IoT however, it has become more pertinent to have geolocation as part of the protocol. In this paper, we add geolocation to the MQTT protocol and offer a revised version, which we call MQTT-G. We describe the protocol here and show where we were able to embedd geolocation successfully.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125336099","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}