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UWB is a rapidly developing technology characterised by high positioning accuracy, additional data transferability, and communication security. Low costs and energy demand makes it a system that meets the requirements of smart cities (e.g., smart mobility). The analysis of the positioning accuracy of moving objects requires a ground truth. For the UWB system, it should have an accuracy of the order of millimetres. The generated data can be used to minimize the cost and time needed to perform field tests. However, there is no UWB simulators which can consider the variable characteristics of operation along with distance to reflect the operation of real systems. This article presents a 2D UWB simulator for outdoor open-air areas with obstacles and a method of analysing data from the real UWB system under line-of-sight (LOS) and non-line-of-sight conditions. Data are recorded at predefined outdoor reference distances, and by fitting normal distributions to this data and modelling the impact of position changes the real UWB system can be simulated and it makes it possible to create virtual measurements for other locations. Furthermore, the presented method of describing the path using time-dependent equations and obstacles using a set of inequalities allows for reconstructing the real test scenario with moving tags with high accuracy.
Krzysztof Paszek; Damian Grzechca; Andreas Becker. Design of the UWB Positioning System Simulator for LOS/NLOS Environments. Sensors 2021, 21, 4757 .
AMA StyleKrzysztof Paszek, Damian Grzechca, Andreas Becker. Design of the UWB Positioning System Simulator for LOS/NLOS Environments. Sensors. 2021; 21 (14):4757.
Chicago/Turabian StyleKrzysztof Paszek; Damian Grzechca; Andreas Becker. 2021. "Design of the UWB Positioning System Simulator for LOS/NLOS Environments." Sensors 21, no. 14: 4757.
Supporting educational processes with Hidden Markov Models (HMMs) has great potential. In this paper, we explore the possibility of identifying students’ learning progress with HMMs. Students’ grades are used to train the HMMs to find out if the analysis of obtained models lets us detect patterns emerging from student’s results. We also try to predict the final students’ results on the basis of their partial grades. A new, classification approach for this problem, using properties of HMMs is proposed: High and Low State Model (HLSM).
Ewa Lach; Damian Grzechca; Andrzej Polański; Jerzy Rutkowski; Michał Staniszewski. Analysis of Semestral Progress in Higher Technical Education with HMM Models. Transactions on Petri Nets and Other Models of Concurrency XV 2021, 214 -228.
AMA StyleEwa Lach, Damian Grzechca, Andrzej Polański, Jerzy Rutkowski, Michał Staniszewski. Analysis of Semestral Progress in Higher Technical Education with HMM Models. Transactions on Petri Nets and Other Models of Concurrency XV. 2021; ():214-228.
Chicago/Turabian StyleEwa Lach; Damian Grzechca; Andrzej Polański; Jerzy Rutkowski; Michał Staniszewski. 2021. "Analysis of Semestral Progress in Higher Technical Education with HMM Models." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 214-228.
Barrier machines are a key component of automatic level crossing systems ensuring safety on railroad crossings. Their failure results not only in delayed railway transportation, but also puts human life at risk. To prevent faults in this critical safety element of automatic level crossing systems, it is recommended that fault and anomaly detection algorithms be implemented. Both algorithms are important in terms of safety (information on whether a barrier boom has been lifted/lowered as required) and predictive maintenance (information about the condition of the mechanical components). Here, the authors propose fault models for barrier machine fault and anomaly detection procedures based on current waveform observation. Several algorithms were applied and then assessed such as self-organising maps (SOM), autoencoder artificial neural network, local outlier factor (LOF) and isolation forest. The advantage of the proposed solution is there is no change of hardware, which is already homologated, and the use of the existing sensors (in a current measurement module). The methods under evaluation demonstrated acceptable rates of detection accuracy of the simulated faults, thereby enabling a practical application at the test stage.
Damian Grzechca; Paweł Rybka; Roman Pawełczyk. Level Crossing Barrier Machine Faults and Anomaly Detection with the Use of Motor Current Waveform Analysis. Energies 2021, 14, 3206 .
AMA StyleDamian Grzechca, Paweł Rybka, Roman Pawełczyk. Level Crossing Barrier Machine Faults and Anomaly Detection with the Use of Motor Current Waveform Analysis. Energies. 2021; 14 (11):3206.
Chicago/Turabian StyleDamian Grzechca; Paweł Rybka; Roman Pawełczyk. 2021. "Level Crossing Barrier Machine Faults and Anomaly Detection with the Use of Motor Current Waveform Analysis." Energies 14, no. 11: 3206.
Mapping the environment is necessary for navigation, planning and manipulation. In this paper, a fusion framework (as data-in-decision-out) is introduced for a 2D LIDAR and a 3D ultrasonic sensor to achieve three-dimensional mapping without expensive 3D LiDAR scanner or visual processing. Two sensor models are proposed for the two sensors used for map updating. Furthermore, 2D/3D map representations are discussed for our fusion approach. We also compare different probabilistic fusion methods and discuss criterias for choosing appropriate methods. Experiments are carried out with a real ground robot platform in an indoor environment. The 2D and 3D map results demonstrate that our approach is able to show the surrounding in more details. Sensor fusion provides a better estimation of the environment and the ego-pose whilst lowering the necessary resources. This gives the robot’s perception of the environment more information by using only one additional low-cost 3D ultrasonic sensor. This is especially important for robust and light-weight robots with limited resources.
Tien Tran; Andreas Becker; Damian Grzechca. Environment Mapping Using Sensor Fusion of 2D Laser Scanner and 3D Ultrasonic Sensor for a Real Mobile Robot. Sensors 2021, 21, 3184 .
AMA StyleTien Tran, Andreas Becker, Damian Grzechca. Environment Mapping Using Sensor Fusion of 2D Laser Scanner and 3D Ultrasonic Sensor for a Real Mobile Robot. Sensors. 2021; 21 (9):3184.
Chicago/Turabian StyleTien Tran; Andreas Becker; Damian Grzechca. 2021. "Environment Mapping Using Sensor Fusion of 2D Laser Scanner and 3D Ultrasonic Sensor for a Real Mobile Robot." Sensors 21, no. 9: 3184.
Among the variety of problems encountered in transmission lines, the outer jacket degradation-derived faults of communication cables in railway applications have a significant impact on the transmission line parameters, especially if the cables are exposed to extremely varying environmental conditions, such as temperature deviation and humidity changes. In this paper, an advanced model of a twisted pair communication cable is proposed, together with approximated degradation functions for distributed parameters of the model, such as the shielding inductance, resistance, and capacitance per meter of cable length. This allows for gathering the distributed parameters for the proposed model under specific environmental conditions. The degradation functions for the parameters have been identified and compared with simulation results, including the communication speed and frequency band, and it has been confirmed that the transmission reliability depends on the cable condition. The authors discuss the influence of outer jacket degradation on signal behavior in terms of time and frequency domains that should be considered while developing new signaling devices for railway transportation.
Damian Grzechca; Dariusz Zieliński; Wojciech Filipowski. What Is the Effect of Outer Jacket Degradation on the Communication Parameters? A Case Study of the Twisted Pair Cable Applied in the Railway Industry. Energies 2021, 14, 972 .
AMA StyleDamian Grzechca, Dariusz Zieliński, Wojciech Filipowski. What Is the Effect of Outer Jacket Degradation on the Communication Parameters? A Case Study of the Twisted Pair Cable Applied in the Railway Industry. Energies. 2021; 14 (4):972.
Chicago/Turabian StyleDamian Grzechca; Dariusz Zieliński; Wojciech Filipowski. 2021. "What Is the Effect of Outer Jacket Degradation on the Communication Parameters? A Case Study of the Twisted Pair Cable Applied in the Railway Industry." Energies 14, no. 4: 972.
This paper compares two positioning systems, namely ultra-wideband (UWB) based micro-location technology and dead reckoning and a RPLidar based simultaneous localization and mapping (SLAM) solution. This new approach can be used to improve the quality of the positioning system and increase the functionality of advanced driver assistance systems (ADAS). This is achieved by using stationary nodes and UWB tags on the vehicles. Thus, the redundancy of localization can be achieved by this approach, e.g., as a backup to onboard sensors like RPlidar or radar. Additionally, UWB based micro-location allows additional data channels to be used for communication purposes. Furthermore, it is shown that the regular use of correction data increases UWB and dead reckoning accuracy. These correction data can be based on onboard sensors. This shows that it is promising to develop a system that fuses onboard sensors and micro-localization for safety-critical tasks like the platooning of commercial vehicles.
Damian Grzechca; Adam Ziębiński; Krzysztof Paszek; Krzysztof Hanzel; Adam Giel; Marcin Czerny; Andreas Becker. How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System. Sensors 2020, 20, 3761 .
AMA StyleDamian Grzechca, Adam Ziębiński, Krzysztof Paszek, Krzysztof Hanzel, Adam Giel, Marcin Czerny, Andreas Becker. How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System. Sensors. 2020; 20 (13):3761.
Chicago/Turabian StyleDamian Grzechca; Adam Ziębiński; Krzysztof Paszek; Krzysztof Hanzel; Adam Giel; Marcin Czerny; Andreas Becker. 2020. "How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System." Sensors 20, no. 13: 3761.
This paper presents signal filtering methods that can be effectively applied to train detection systems based on the axle counter systems that are currently in operation for train detection and provide information on the unoccupied status of railway tracks and turnouts. Signals from the wheel detectors contain noise, may be impulsive and time-varying, which means that even for the same train, the signals from the following wheels may be different. A problem appears when already homologated hardware (axle counter system) is working in a harsh environment, exposed to disturbances whose parameters significantly exceed standard thresholds. Despite this, the system must continue to provide reliable information. The authors present research on the application of such filters as median, Savitzkey-Golay, and moving average which can be implemented in the equipment currently in use under specific constraints (e.g., limited computational resources). The research results show that appropriately adjusted filters, for example, in terms of type and window size, increase the signal quality and thereby provide reliable information about passing trains, as well as enhance the availability and safety of the axle counter system performance.
Damian Grzechca; Adam Szczeponik. Comparison of Filtering Methods for Enhanced Reliability of a Train Axle Counter System. Sensors 2020, 20, 2754 .
AMA StyleDamian Grzechca, Adam Szczeponik. Comparison of Filtering Methods for Enhanced Reliability of a Train Axle Counter System. Sensors. 2020; 20 (10):2754.
Chicago/Turabian StyleDamian Grzechca; Adam Szczeponik. 2020. "Comparison of Filtering Methods for Enhanced Reliability of a Train Axle Counter System." Sensors 20, no. 10: 2754.
The document presents the process of creating a tool for the rehabilitation of people with lower-limb dysfunctions. The monitored metrics, hardware, communication, and software layer of the entire solution were presented in a cross-sectional way. In addition, the work analyzed the possibility of using UWB technology (tags) and vision (using markers in the form of diodes) to monitor the position of hip, knee, and ankle. The tests showed that the system has an accuracy of 1.3 cm for monitoring movement in two dimensions and 5.8 cm for a three-dimensional reflection of the position of the said joints. Low cost, combined with low invasiveness in patient movements, easy application and high accuracy of received data as well as cooperation with companies interested in proposed research allows for further investigation on the proposed system.
Damian Grzechca; Adam Ziebinski; Dariusz Komorowski; Krzysztof Hanzel; Sebastian Pokucinski; Kamil Klonowski; Slawomir Siwek. Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology. Business Information Systems 2020, 419 -437.
AMA StyleDamian Grzechca, Adam Ziebinski, Dariusz Komorowski, Krzysztof Hanzel, Sebastian Pokucinski, Kamil Klonowski, Slawomir Siwek. Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology. Business Information Systems. 2020; ():419-437.
Chicago/Turabian StyleDamian Grzechca; Adam Ziebinski; Dariusz Komorowski; Krzysztof Hanzel; Sebastian Pokucinski; Kamil Klonowski; Slawomir Siwek. 2020. "Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology." Business Information Systems , no. : 419-437.
Krzysztof Hanzel; Damian Grzechca; Mateusz Tomczyk; Artur Marciniak. Multifactorial Fuzzy Logic Distance Correction for UWB Positioning System. Journal of Communications 2020, 1 .
AMA StyleKrzysztof Hanzel, Damian Grzechca, Mateusz Tomczyk, Artur Marciniak. Multifactorial Fuzzy Logic Distance Correction for UWB Positioning System. Journal of Communications. 2020; ():1.
Chicago/Turabian StyleKrzysztof Hanzel; Damian Grzechca; Mateusz Tomczyk; Artur Marciniak. 2020. "Multifactorial Fuzzy Logic Distance Correction for UWB Positioning System." Journal of Communications , no. : 1.
Krzysztof Paszek; Damian Grzechca; Mateusz Tomczyk; Artur Marciniak. UWB Positioning System with the Support of MEMS Sensors for Indoor and Outdoor Environment. Journal of Communications 2020, 1 .
AMA StyleKrzysztof Paszek, Damian Grzechca, Mateusz Tomczyk, Artur Marciniak. UWB Positioning System with the Support of MEMS Sensors for Indoor and Outdoor Environment. Journal of Communications. 2020; ():1.
Chicago/Turabian StyleKrzysztof Paszek; Damian Grzechca; Mateusz Tomczyk; Artur Marciniak. 2020. "UWB Positioning System with the Support of MEMS Sensors for Indoor and Outdoor Environment." Journal of Communications , no. : 1.
Nowadays many Internet of Things solutions used embedded systems that are not equipped with real-time clock. Some of them are used in Unmanned Ground Vehicle platforms that require precise measurements and calculations to move properly and safely. Often such systems are realised as soft real-time Linux systems equipped with real-time path. To improve quality of such systems it is necessary to determine a minimum cycle of time that will allow a stable work of embedded system. In this paper, the authors focus on approaches to verify the performance of Rasbian system in various use cases to obtain a minimum jitter and duration of cycle time for real–time applications that requires a guaranteed response within strict timing constraints of UGV. Additionally, was described a simple approach to determine a minimum cycle time period for a soft real-time system implemented on Raspberry Pi3 based on the maximum confidence interval.
Adam Ziebinski; Rafal Cupek; Damian Grzechca. The Cycle Time Determination for a Soft Real-Time System. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 207 -217.
AMA StyleAdam Ziebinski, Rafal Cupek, Damian Grzechca. The Cycle Time Determination for a Soft Real-Time System. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():207-217.
Chicago/Turabian StyleAdam Ziebinski; Rafal Cupek; Damian Grzechca. 2019. "The Cycle Time Determination for a Soft Real-Time System." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 207-217.
In modern electronic circuits, imperfectness in the technological process can cause errors in reaching the correct values of the functional parameters. In order to solve this problem, a novel approach of analog and mixed-signal circuit testing methodology is used. The presented approach allows the testing complexity to be reduced and the testing time to be decreased. For this paper, selected signal features were designated from the transient output signal response. Using regression models with the extracted signal features, the functional parameters of a circuit were determined. An evolutionary determination of the regression models enabled the efficiency of the identification process to be maximized. The proposed methodology is presented for an exemplary CMOS Dickson charge pump circuit.
Sebastian Temich; Tomasz Golonek; Damian Grzechca. Design an Identification Function to Reduce the Computational Resources on the Testing Process of an Analog Electronic Circuit. Elektronika ir Elektrotechnika 2019, 25, 25 -33.
AMA StyleSebastian Temich, Tomasz Golonek, Damian Grzechca. Design an Identification Function to Reduce the Computational Resources on the Testing Process of an Analog Electronic Circuit. Elektronika ir Elektrotechnika. 2019; 25 (3):25-33.
Chicago/Turabian StyleSebastian Temich; Tomasz Golonek; Damian Grzechca. 2019. "Design an Identification Function to Reduce the Computational Resources on the Testing Process of an Analog Electronic Circuit." Elektronika ir Elektrotechnika 25, no. 3: 25-33.
This paper presents the application of an artificial neural network with a genetic algorithm for identifying the selected specification parameters of a voltage-controlled oscillator (VCO). In modern electronics, the complexity of the production process may cause errors in analogue and mixed-signal electronic circuits, and inaccuracies in this technological process have a direct impact on the specification parameters of a VCO. The modern market requires that the production process has to be as quick as possible, and therefore testing systems should be fast and have the highest efficiency of parameter identification. In the following paper, a genetic algorithm is used to optimise the number of output signal measurement points, which allows them to be identified by the specification parameters of the VCO that are selected by an artificial neural network. The proposed method is characterised by shortening the test time of the system while maintaining a high efficiency in the identification of the selected design specification parameters.DOI: http://dx.doi.org/10.5755/j01.eie.24.6.20945
Sebastian Temich; Lukas Chruszczyk; Damian Grzechca. Identification of the Specification Parameters for a Voltage Controlled Oscillator Using an Artificial Neural Network with a Genetic Algorithm. Elektronika ir Elektrotechnika 2018, 24, 42-49 .
AMA StyleSebastian Temich, Lukas Chruszczyk, Damian Grzechca. Identification of the Specification Parameters for a Voltage Controlled Oscillator Using an Artificial Neural Network with a Genetic Algorithm. Elektronika ir Elektrotechnika. 2018; 24 (6):42-49.
Chicago/Turabian StyleSebastian Temich; Lukas Chruszczyk; Damian Grzechca. 2018. "Identification of the Specification Parameters for a Voltage Controlled Oscillator Using an Artificial Neural Network with a Genetic Algorithm." Elektronika ir Elektrotechnika 24, no. 6: 42-49.
As a part of the proposed article, the authors presented comprehensive data analysis for movement data that comes from a positioning system based on ultra-wide band (UWB) technology. For purpose of this article, a test was carried out during which the car equipped with cruise control overcame the given path at a speed from 10 km/h to 60 km/h. The obtained motion models (information about position) have been filtered through a series of filters - from fundamentals filters with a variable window (median, moving average, Savitzky-Golay filter), through more complex ones like the Wiener or Kalman filter. As a result, the authors proposed a form of data analysis and filtration depending on the speed of the moving object. In addition, the maximum accuracy that can be obtained for a given traffic model was also determined. The whole research proves that it is possible to use a system based on UWB technology in positioning objects for urban applications - smart city, in industry 4.0 applications as well as for positioning autonomous vehicles in urban applications, such as well as on highways to maintain cohesion of convoys vehicles.
Damian Grzechca; Krzysztof Hanzel; Krzysztof Paszek. The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes. 2018, 1 .
AMA StyleDamian Grzechca, Krzysztof Hanzel, Krzysztof Paszek. The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes. . 2018; ():1.
Chicago/Turabian StyleDamian Grzechca; Krzysztof Hanzel; Krzysztof Paszek. 2018. "The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes." , no. : 1.
This work presents method of identification of the functional parameters of a voltage-controlled oscillator (VCO) using artificial neural network (ANN). The VCO under test is excited with a selected stimuli and the ANN is trained by the VCO response in time-domain. Investigated VCO is a mixed-signal circuit, therefore spread of circuit parameters (tolerance) is modelled by Monte-Carlo analysis. Existence of a circuit failures, modelled as spot defects, is also taken into consideration. Additionally, a genetic algorithm (GA) is used to minimize number of circuit response samples. The goal is shortening of data acquisition and processing time during circuit testing, as having significant influence on final manufacturing cost. The proposed method enables shortening test time of the VCO, together with high efficiency of functional parameters identification.
Sebastian Temich; Damian Grzechca; Łukasz Chruszczyk; Krzysztof Tokarz. Spot defect analysis to identify the functional parameters of a Voltage Controlled Oscillator. IFAC-PapersOnLine 2018, 51, 238 -243.
AMA StyleSebastian Temich, Damian Grzechca, Łukasz Chruszczyk, Krzysztof Tokarz. Spot defect analysis to identify the functional parameters of a Voltage Controlled Oscillator. IFAC-PapersOnLine. 2018; 51 (6):238-243.
Chicago/Turabian StyleSebastian Temich; Damian Grzechca; Łukasz Chruszczyk; Krzysztof Tokarz. 2018. "Spot defect analysis to identify the functional parameters of a Voltage Controlled Oscillator." IFAC-PapersOnLine 51, no. 6: 238-243.
Design and manufacturing of electronic modules is a difficult process - on the one hand there arises a problem of developing the inner circuitry of best possible performance, on the other hand -building it at the lowest possible price. When it comes to cutting expenses on production, even the smallest changes in materials can critically influence the total manufacturing costs. The paper introduces a method of detecting certain module’s overheating levels without a necessity of using temperature sensors - devices generating unnecessary fabrication expenses. The assessment of temperature can be performed with the use of supply current waveform analysis - particular changes in current function caused by overheating may be processed and correlated with a certain temperature. Finding those differences in supply waveforms and classifying them may be done with either analytic methods or heuristic algorithms.
Damian Grzechca; Paweł Rybka; Sebastian Temich. Module’s overheating assessment with the use of supply current waveform analysis. IFAC-PapersOnLine 2018, 51, 306 -311.
AMA StyleDamian Grzechca, Paweł Rybka, Sebastian Temich. Module’s overheating assessment with the use of supply current waveform analysis. IFAC-PapersOnLine. 2018; 51 (6):306-311.
Chicago/Turabian StyleDamian Grzechca; Paweł Rybka; Sebastian Temich. 2018. "Module’s overheating assessment with the use of supply current waveform analysis." IFAC-PapersOnLine 51, no. 6: 306-311.
Although the use of XML format allows many interoperability problems to be solved, it is not common solution in automotive electronics. Most of development systems used in automotive base on raw data instead of structured information. The paper presents an extension of CANoe software with a XML-based communication interface, used to receive and process measurement data from an Autonomous Mobile Platform through specialized database system. The solution provides interoperability in access to the measurement data as well as wide possibilities to use them in the visualisation, historical analysis and assessment of the quality of work of a platform.
Marek Drewniak; Marcin Fojcik; Damian Grzechca; Michal Kruk. A CANoe-Based Approach for Receiving XML Data over the Ethernet. Communications in Computer and Information Science 2018, 421 -431.
AMA StyleMarek Drewniak, Marcin Fojcik, Damian Grzechca, Michal Kruk. A CANoe-Based Approach for Receiving XML Data over the Ethernet. Communications in Computer and Information Science. 2018; ():421-431.
Chicago/Turabian StyleMarek Drewniak; Marcin Fojcik; Damian Grzechca; Michal Kruk. 2018. "A CANoe-Based Approach for Receiving XML Data over the Ethernet." Communications in Computer and Information Science , no. : 421-431.
The following paper presents advanced methods for evaluating the reliability of ADAS module readings, based on an analysis of the transient supply current. Changes in the transient current waveform occur due to environmental conditions and damage to a module's inner circuitry. Specific deviations in the waveforms may indicate a certain event – either internal or external. This paper presents how to successfully distinguish certain anomalies using artificial neural network-based classification algorithms without having to interfere with the module's internal circuitry.DOI: http://dx.doi.org/10.5755/j01.eie.24.3.20944
Damian Grzechca; Pawel Rybka; Krzysztof Paszek. Evaluation of the Accuracy of ADAS Module Readings Based on an Analysis of the Transient Supply Current and Neural Network Application. Elektronika ir Elektrotechnika 2018, 24, 46-52 .
AMA StyleDamian Grzechca, Pawel Rybka, Krzysztof Paszek. Evaluation of the Accuracy of ADAS Module Readings Based on an Analysis of the Transient Supply Current and Neural Network Application. Elektronika ir Elektrotechnika. 2018; 24 (3):46-52.
Chicago/Turabian StyleDamian Grzechca; Pawel Rybka; Krzysztof Paszek. 2018. "Evaluation of the Accuracy of ADAS Module Readings Based on an Analysis of the Transient Supply Current and Neural Network Application." Elektronika ir Elektrotechnika 24, no. 3: 46-52.
This paper focuses on the different filtering methods of movement around a circle whose acquisition was made using system based on the Ultra-wideband (UWB) technology. The main aim of this study is to get the most accurate way of filtering circular motion for the UWB system for statistical terms. Filtration presented in this paper can be used to locate objects using ultra-wideband technology, and thanks to the use of motion at speed up to 50km/h, it will be possible to use test results to reflect drones or autonomous vehicles, particularly where standard locations systems (e.g. GPS) is not available - such as tunnels, underground car parks, shopping centers. This document proposes an approach based on the filtration points that was assigned to the buckets placed in three-dimensional space on the expected trajectory of the circular object movement. During the data processing the following filters have been used: median, arithmetic mean, Savitzky-Golay in combination with arithmetic mean, and moving average in combination with arithmetic mean. The number of used measurement buckets, as well as their size, was also analyzed. The results were compared with the use of the length of the line, that traces the localized object in correlation with the number of measured buckets used.
Damian Grzechca; Krzysztof Hanzel; Krzysztof Paszek. Accuracy analysis for object positioning on a circular trajectory based on the UWB location system. 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) 2018, 69 -74.
AMA StyleDamian Grzechca, Krzysztof Hanzel, Krzysztof Paszek. Accuracy analysis for object positioning on a circular trajectory based on the UWB location system. 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). 2018; ():69-74.
Chicago/Turabian StyleDamian Grzechca; Krzysztof Hanzel; Krzysztof Paszek. 2018. "Accuracy analysis for object positioning on a circular trajectory based on the UWB location system." 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) , no. : 69-74.
The paper presents an approach of the fuzzy logic expert system to test a specification of voltage controlled oscillator. The expert system takes into account parametric faults and the test procedure is orientated on circuits’ specification. The introduction is focused on analog fault testing, its technics, approaches and goals. Next, the specification parameters are introduced and fault models are clarified. The method uses linguistic variables in the premise section of the expert system. Such variables are described by membership functions that allows to convert linguistic information into numeric values. Then, the conclusion section for the expert system with the Takagi-Sugeno type has been described in details. The approach has been compared with classic dictionary based on SVM method. Finally, the results prove high efficiency of the test specification of VCO circuits.
Sebastian Temich; Damian Grzechca; Krzysztof Tokarz. Application of Fuzzy Set Expert System for Testing Selected Specification Parameters of Voltage-Controlled Oscillator. Advances in Intelligent Systems and Computing 2017, 330 -340.
AMA StyleSebastian Temich, Damian Grzechca, Krzysztof Tokarz. Application of Fuzzy Set Expert System for Testing Selected Specification Parameters of Voltage-Controlled Oscillator. Advances in Intelligent Systems and Computing. 2017; ():330-340.
Chicago/Turabian StyleSebastian Temich; Damian Grzechca; Krzysztof Tokarz. 2017. "Application of Fuzzy Set Expert System for Testing Selected Specification Parameters of Voltage-Controlled Oscillator." Advances in Intelligent Systems and Computing , no. : 330-340.