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Keyword: noisePhase-Adjusted Microwave Oscillators Based on a Discriminator
At the conference “System timing, shaping and signal processing” “SYNCHRONO-2020” there was report: “Simulation of steady state microwave oscillator with dielectric resonator” and “Microwave generators, driven by voltage-based microassemblies with dielectric resonators”. An algorithm for calculating a generator with an open dielectric resonator is described. Based on the DesignLab 8.0 simulation environment, the analysis of…
Read MoreEnvironmental Acoustics Modelling Techniques for Forest Monitoring
Environmental sounds detection plays an increasing role in computer science and robotics as it simulates the human faculty of hearing. It is applied in environment research, monitoring and protection, by allowing investigation of natural reserves, and showing potential risks of damage that can be deduced from the environmental acoustic. The research presented in this paper…
Read MoreLED Lighting and the Impact on the PLC Channel
Light Emitting Diode (LED) lamps are used as a replacement of “old-fashioned” or incandescent lighting sources, as they reduce the amount of energy consumed. As a side-effect of more efficient energy usage they produce electrical noise. This noise reduces the efficiency of information signal transfer when Power Line Communications (PLC) are used. This study focuses…
Read MoreConvolutional Neural Network Based on HOG Feature for Bird Species Detection and Classification
This work is concerned with the detection and classification of birds that have applications like monitoring extinct and migrated birds. Recent computer vision algorithms can precise this kind of task but still there are some dominant issues like low light, very little differences between subspecies of birds, etc are to be studied. As Convolution Neural…
Read MoreA Model for the Application of Automatic Speech Recognition for Generating Lesson Summaries
Automatic Speech Recognition (ASR) technology has the potential to improve the learning experience of students in the classroom. This article addresses some of the key theoretical areas identified in the pursuit of implementing a speech recognition system, capable of lesson summary generation in the educational setting. The article discusses: some of the applica- tions of…
Read MoreFetal Electrocardiogram Extraction using Moth Flame Optimization (MFO)-Based Adaptive Filter
Effective Fetal Electrocardiogram (FECG) Extraction provides medical workers with precise knowledge for monitoring fetal health condition during gestational age. However, Fetal ECG Extraction still remains a challenge as the signal is weak and contaminated with noises of different kinds, more significantly maternal ECG. In this work, a new Moth Flame optimization algorithm (MFO)-based adaptive filter…
Read MoreInvestigation of the LoRa Transceiver in Conditions of Multipath Propagation of Radio Signals
The article presents some results of the research of the LoRa module. These modules can be the basis of possible IoT technologies are implementing, providing enough good range of receiving and transmitting messages. The SX1276 transceiver has been testing to determine the signal loss in the propagation channel. These experiments took in a highly-populated Kyiv…
Read MoreMultiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform
Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…
Read MoreDownlink Indoor Coverage Performance of Unmanned Aerial Vehicle LTE Base Stations
In this study, we study on the downlink indoor coverage performance of unmanned air vehicle (UAV) base stations. We consider a probabilistic expression for air-to-ground (ATG) path loss, and a deterministic one for additional indoor losses in order to provide a practical model. One of our important assumptions is that the UAV base station operates…
Read MoreA Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks
In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security along with the criteria in the neural networks such as conditions embedded, and types of watermarking attack. This research addresses digital watermarking in deep neural networks and…
Read MoreWideband Active Switch for Electronic Warfare System Applications
Discrete component based ultra-wideband SPDT switch modelling, design and implementation challenges are reported in this article. The basic SPDT switch is planned to design using PIN diodes (bare die). Nonlinear parameters extraction steps of PIN diode from datasheets have been proposed in this article instead of using readymade nonlinear PIN diode models. Equalizers are designed…
Read MoreMethod of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies
A new method of analysis and classification of rock acoustic emission signals is proposed. It is based on symbol description of signals and involves the following processing. First, signal segments containing pulses are detected. Second, noise of the detected pulses is reduced by the wavelet filtration method. Fourth-order symlets and adaptive threshold scheme based on…
Read MoreAlgorithm Design for Accurate Steps Counting Based on Smartphone Sensors for Indoor Applications
This paper aims to design an accurate and robust algorithm for counting the steps based on the smartphone’s accelerometer for indoor applications. Different daily activities have been considered in the experimental scenarios, including normal walking with various smartphone positions and running activities. The detection process’s accuracy is ensured by setting an appropriate segregation approach and…
Read MoreAutomatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved
Dithering or error diffusion is a technique used to obtain a binary image, suitable for printing, from a grayscale one. At each step, the algorithm computes an allowed value of a pixel from a grayscale one, applying a threshold and, therefore, causing a conversion error. To obtain the optical illusion of a continuous tone, the…
Read MoreC-Band FMCW Radar Design and Implementation for Breathing Rate Estimation
In this paper, a portable Frequency Modulated Continuous Wave (FMCW) radar system was designed and implemented for human movements and breathing detection. The radar operates with a frequency band ranges from 4.7 to 4.9GHz. The radar sub-systems were designed and simulated using up to date computer-aided-design tools before implementation. The Voltage Controlled Oscillators (VCO), high…
Read MoreA Circular Invariant Convolution Model-Based Mapping for Multimodal Change Detection
The large and ever-increasing variety of remote sensing sensors used in satellite imagery today explains why detecting changes between identical locations in images that are captured, at two separate times, from heterogeneous capturing systems is a major and challenging recent research problem in the field of satellite imaging for fast and accurate determination of temporal…
Read MoreVLSI Architecture for OMP to Reconstruct Compressive Sensing Image
A real-time embedded system requires plenty of measurements to fallow the Nyquist criteria. The hardware built for such a large number of measurements, is facing the challenges like storage and transmission rate. Practically it is very much complex to build such costly hardware. Compressive Sensing (CS) will be a future alternate technique for the Nyquist…
Read MoreA Cavity Structure based Flexible Piezoelectric for Low-Frequency Vibration Energy Harvesting
Piezoelectric energy harvesters (PEH) can be used in many areas of application, including human walking, railways, pavements and bridges. Piezoelectric energy harvesters are currently based on two types of external forces, namely pressure load and mechanical oscillation or vibration. A vibration energy harvesting (VEH) is a mechanical oscillation in a piezoelectric energy harvester that harvested…
Read MoreDense SIFT–Flow based Architecture for Recognizing Hand Gestures
Several challenges like changes in brightness, dynamic background, occlusion and inconsistency of camera position make the recognition of hand gestures difficult in any vision-based method. Diversity in finger shape, size, distribution and motion dynamics is also a big constraint. This leads to the motivation in developing a dense Scale Invariant Feature Transform (SIFT) flow based…
Read MoreDesign and Optimization of a Three Stage Electromechanical Power Unit using Numerical Methods
The advent of electric vehicles has changed the face of the automobile industry. The drive system properties of vehicles such as eBikes or electric cars differ fundamentally from those of a diesel engine. The lack of a conventional internal combustion engine has made the vehicles considerably silent. Nevertheless, previously hidden sources of vibration and noise…
Read More5G mm-wave Band pHEMT VCO with Ultralow PN
Oscillator phase noise (PN) has a strong impact on the spectral purity of the RF signal in wireless systems and is, therefore, a main challenge when designing a local oscillator. In this paper, we propose a new approach for designing a low PN oscillator based on the Time-Invariant Linear Model of phase noise. It leads…
Read MoreEnhanced Collaborative Constellation for Visible Light Communication System
Visible light communication (VLC) that simultaneously gives illumination and information transmission abilities, is recognized as a hopeful competitor for prospective wireless net- works. Furthermore, a channel adaptive collaborative constellation (CASCC) with the capacity of adapting according to the channel condition to enhance the bit error rate (BER) while concurrently improving the versatility of the receiver…
Read MoreImproved Nonlinear Fuzzy Robust PCA for Anomaly-based Intrusion Detection
Among the most popular tools in security field is the anomaly based Intrusion Detection System (IDS), it detects intrusions by learning to classify the normal activities of the network. Thus if any abnormal activity or behaviour is recognized it raises an alarm to inform the users of a given network. Nevertheless, IDS is generally susceptible…
Read MoreA Novel Hybrid Method for Segmentation and Analysis of Brain MRI for Tumor Diagnosis
It is difficult to accurately segment brain MRI in the complex structures of brain tumors, blurred borders, and external variables such as noise. Much research in developing as well as developed countries show that the number of individuals suffering tumor of the brain has died as a result of the inaccurate diagnosis. The proposed article,…
Read MoreA Novel Quantum No-Key Protocol for Many Bits Transfer with Error Correction Codes
In this paper, a novel quantum transmission protocol which are based on the quantum no-key protocol is proposed. First, the quantum no-key protocol is discussed to show its important and its non-efficient on data transmission over quantum channel. Then, we improve it to carry many data bits via transmission. In addition, the error correction code…
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