Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module

The increasing integration of technology in our daily lives demands the development of more convenient human–computer interaction (HCI) methods. Most of the current hand-based HCI strategies exhibit various limitations, e.g., sensibility to variable lighting conditions and limitations on the operating environment. Further, the deployment of such systems is often not performed in resource-constrained contexts. Inspired by the MobileNetV1 deep learning network, this paper presents a novel hand gesture recognition system based on frequency-modulated continuous wave (FMCW) radar, exhibiting a higher recognition accuracy in comparison to the state-of-the-art systems. First of all, the paper introduces a method to simplify radar preprocessing while preserving the main information of the performed gestures. Then, a deep neural classifier with the novel Depthwise Expansion Module based on the depthwise separable convolutions is presented. The introduced classifier is optimized and deployed on the Coral Edge TPU board. The system defines and adopts eight different hand gestures performed by five users, offering a classification accuracy of 98.13% while operating in a low-power and resource-constrained environment.Electronic Components and Systems for European Leadership Joint Undertaking under grant agreement No. 826655 (Tempo).European Union’s Horizon 2020 research and innovation programme and Belgium, France, Germany, Switzerland, and the NetherlandsLodz University of Technology

IMAGE AND VIDEO PROCESSING WITH FPGA SUPPORT USED FOR BIOMETRIC AS WELL AS OTHER APPLICATIONS

Paper presents the recent research in DMCS. The image processing and biometric research projects are presented. One of the key elements is an image acquisition and processing. The most recent biometric research projects are in the area of authentication in uncooperative scenarios and utilizing many different biometric traits (multimodal biometric systems). Also the recent research on the removal of geometric distortion from live video streams using FPGA and GPU hardware is presented together with preliminary performance results

EXAMPLES OF MEDICAL SOFTWARE AND HARDWARE EXPERT SYSTEMS FOR DYSFUNCTION ANALYSIS AND TREATMENT

Paper present the recent research in DMCS. The medical and biometric research projects are presented. One of the key element is an image acquisition and processing. The paper presents research of diagnostic application of voice analysis for stroke patients with speech dysfunction, as well as the method for diagnosing and monitoring the effectiveness of medical rehabilitation of patients with dysfunction of the cervical spine. Then the method for sudden cardiac death risk stratification is elaborated

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

Analysis of Algorithm Efficiency for Heat Diffusion at Nanoscale Based on a MEMS Structure Investigation

This paper presents an analysis of the time complexity of algorithms prepared for solving heat transfer problems at nanoscale. The first algorithm uses the classic Dual-Phase-Lag model, whereas the second algorithm employs a reduced version of the model obtained using a Krylov subspace method. This manuscript includes a description of the finite difference method approximation prepared for analysis of the real microelectromechanical system (MEMS) structure manufactured by the Polish Institute of Electron Technology. In addition, an approximation scheme of the model, as well as the Krylov subspace-based model order reduction technique are also described. The paper considers simulation results obtained using both investigated versions of the Dual-Phase-Lag model. Moreover, the relative error generated by the reduced model, as well as the computational complexity of both algorithms, and a convergence of the proposed approach are analyzed. Finally, all analyses are discussed in detail

Redukcja rzędu modelu dual-phase-lag przy uzżyciu metody podprzestrzeni Krylova dla struktur dwuwymiarowych

https://doi.org/10.26485/0459-6854/2018/68.1/4 W pracy rozważono rozkład temperatury w strukturach nanometrycznych. Zaprezentowane analizy dotyczą struktury dwuwymiarowej o prostokątnym kształcie. Rezultaty otrzymane zostały przy użyciu modelu termicznego Dual-Phase-Lag. W celu zmniejszenia złożoności problemu, dokonano redukcji rzędu modelu opartą na metodzie podprzestrzeni Krylova. Generacja macierzy redukcyjnych bazuje na wykorzystaniu algorytmu Arnoldiego. Ponadto, porównano także rezultaty otrzymane za pomocą zredukowanego oraz pełnego modelu termicznego dla różnej liczby punktów dyskretyzacyjnych oraz różnych punktów w czasie. Dodatkowo, przedstawiono również analizę błędu względnego wyznaczenia modelu zredukowanego. Finalnie, obszernie opisano najważniejsze wnioski z przedstawionych analiz.https://doi.org/10.26485/0459-6854/2018/68.1/4 In this paper the temperature distribution of nanoscale structure is investigated. Presented analyses focus on two-dimensional rectangular structure. The problem has been solved using the Dual-phase-Lag heat transfer model. In order to reduce the complexity of the problem, the reduction methodology based on Krylov subspace has been used. The reduced-order model matrices generation has been based on the one-sided Arnoldi algorithm. Moreover, comparison of results received using both reduced and full thermal models for different number of discretization mesh nodes and different time instants have been demonstrated. Furthermore, the relative error of generation of reduced thermal model from full model has been considered. Finally, the most important conclusions from the presented research have been also included

Modelling of Transmission Lines Inside Modern Integrated Semiconductor and Test Boards

The main purpose of this paper is to present the methodology for calculating the electromagnetic behaviour of real integrated circuit (IC) parts using a no-mesh local Finite Differential Method (FDM). Furthermore, the comparison of computational results and measurements is presented. All considerations are based on typical long transmission lines (TLs) in modern ICs. The obtained results have been analysed in detail and compared with measured values. The measurement data are de-embedded using the test board model. This problem is illustrated in this paper based on a practical example of the Multi-Conductor Transmission Lines test structure whose electrical responses to various excitations are presented and analysed in detail

Comparison of two-dimensional dual-phase-lag and Fourier-Kirchhoff model order reduction using Krylov subspace method

https://doi.org/10.26485/0459-6854/2018/68.1/5 Niniejszy artykuł prezentuje porównanie rozkładów temperatury w dwuwymiarowej strukturze nanometrycznej otrzymanych przy pomocy dwóch róznych modeli przepływu ciepła. Pierwszy z nich wyraża klasyczne podejście bazujące na modelu Fouriera-Kirchhoffa, podczas gdy drugi wykorzystuje nowoczesną metodologię nawiązują do równania Dual-Phase-Lag. W obu przypadkach dokonano również redukcji rzędu modeli termicznych. Proces redukcji oparto na metodzie podprzestrzeni Krylova. Wszystkie wyniki zostały ponadto uważnie przeanalizowane i omówione.https://doi.org/10.26485/0459-6854/2018/68.1/5 This paper presents the comparison of the temperature distribution in two-dimensional nanometric structure received using two different heat transfer models. The first one is the classical approach based on Fourier-Kirchhoff model, while the second one uses the modern methodology related to Dual-Phase-Lag equation. In both cases the reduced order models have been also prepared. The reduction process was based on the Krylov subspace method. All results have been carefully analysed and discussed in this paper