THE IMPLEMENTATION OF SIGNAL ANALYSIS IN JAVA TO DETERMINE THE SOUND OF HUMAN VOICE AND GRAPHICAL REPRESENTATION IN STANDARD MUSIC NOTATION

The article presents an analysis of the problems associated with signals processing, with special emphasis on the analysis of the problems of the human voice analysis. Based on the specific implementation of algorithms mark the human voice pitch, paper is showing the result in the form of standard music notation with treble and bass keys one the stave. The paper pays particular attention to the performance of the algorithms used for their implementation in Java. The same analysisof the signals is not a challenge, but with regard to the implementation on mobile devices like smarfones, the use of Java at the same time with limited hardware resources remains a challenge. This applies to both the CPU and the memory which affects the processing speed using the Java virtual machine. It should be remebered not to skip a quality of microphone used in this type of mobile device. From this point of view presented considerations are a new approach to the well-knownproblem of signal analysis implemented in computer applications such as Raven

RECENT RESEARCH IN VLSI, MEMS AND POWER DEVICES WITH PRACTICAL APPLICATION TO THE ITER AND DREAM PROJECTS

Several MEMS (Micro Electro-Mechanical Systems) devices have been analysed and simulated. The new proposed model of SiC MPS (Merged PIN-Schottky) diodes is in full agreement with the real MPS devices. The real size DLL (Dynamic Lattice Liquid) simulator as well as the research on modelling and simulation of modern VLSI devices with practical applications have been presented. In the basis of experience in the field of ATCA (Advanced Telecommunications Computing Architecture) based systems a proof-of-concept DAQ (data acquisition) system for ITER (International Thermonuclear Experimental Reactor) have been proposed

Studia podyplomowe "Informatyka dla nauczycieli" : materiały dydaktyczne. 3

Książka/publikacja jest współfinansowana przez: Unia Europejska. Europejski Fundusz Społeczny ; Informacja na okładce : Innowacyjna dydaktyka bez ograniczeń - zintegrowany rozwój Politechniki Łódzkiej zarządzanie Uczelnią, nowoczesna oferta edukacyjna i wzmacniania zdolności do zatrudniania

Comparison of Pedestrian Detectors for LiDAR Sensor Trained on Custom Synthetic, Real and Mixed Datasets

Deep learning algorithms for object detection used in autonomous vehicles require a huge amount of labeled data. Data collecting and labeling is time consuming and, most importantly, in most cases useful only for a single specific sensor application. Therefore, in the course of the research which is presented in this paper, the LiDAR pedestrian detection algorithm was trained on synthetically generated data and mixed (real and synthetic) datasets. The road environment was simulated with the application of the 3D rendering Carla engine, while the data for analysis were obtained from the LiDAR sensor model. In the proposed approach, the data generated by the simulator are automatically labeled, reshaped into range images and used as training data for a deep learning algorithm. Real data from Waymo open dataset are used to validate the performance of detectors trained on synthetic, real and mixed datasets. YOLOv4 neural network architecture is used for pedestrian detection from the LiDAR data. The goal of this paper is to verify if the synthetically generated data can improve the detector’s performance. Presented results prove that the YOLOv4 model trained on a custom mixed dataset achieved an increase in precision and recall of a few percent, giving an F1-score of 0.84

Disentangling steric and electronic factors in monomeric bis­(2-bromo-4-chloro-6-{[(2-hy­droxy­eth­yl)imino]­meth­yl}phenolato-κ2\kappa^2N,O)copper(II)

The title compound, [Cu(C_9H_8BrClNO_2)_2], is a square-planar complex. The potentially tridentate dibasic 2-bromo-4-chloro-6-{[(2-hydroxyethyl)imino]meth-yl}phenolate ligand coordinates in a trans-bis fashion to the CuII centre via the imine N and phenolate O atoms. The Cu^{II} atom lies on the centre of inversion of the mol-ecule. The potentially coordinating hydroxyethyl group remains protonated and uncoordinated, taking part in intermolecular hydrogen bonds with vicinal groups, leading to the formation of a two-dimensional hydrogen-bond network with sheets parallel to the (10 1) plane. Substituent effects on the crystal packing and coordination modes of the ligand are discussed

Performance Comparison of Native and Hybrid Android Mobile Applications Based on Sensor Data-Driven Applications Based on Bluetooth Low Energy (BLE) and Wi-Fi Communication Architecture

In the age of smartphones and tablets, the popularity of mobile applications is rising extremely quickly. There are countless purposes for using them, such as communication, social media, news, sending emails, shopping, paying, watching videos and streams, and playing games. Google’s Android is currently the most frequently used mobile system in the world. The main aim of this article is to compare native and hybrid mobile applications created for this system, taking into account the needs and challenges of designing systems using BLE and Wi-Fi. The comparison was based on mobile applications implemented in the Java 8 language and the Ionic framework. The aim was to compare the efficiency of data processing in both technologies, in order to indicate dependencies that can help in the selection of technologies in the projects under development based on BLE, Wi-Fi and sensor networks