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Optimal‑control‑Based Eco‑Driving Solution for Connected Battery Electric Vehicle on a signalized Route

Automotive Innovation 2023年第4期6卷 586-596页

作者： Hafiz Muhammad Yasir Naeem Yasir Awais Butt Qadeer Ahmed Aamer Iqbal Bhatti Control and Signal Processing Research Group(CASPR) Department of Electrical EngineeringCapital University of Science and Technology(CUST)Islamabad ExpresswayKahuta RoadZone‑V IslamabadIslamabadPakistan Department of Electrical Engineering National University of Technology(NUTECH)IslamabadPakistan Center for Automotive Research Ohio State UniversityColumbusOHUSA

Speed advisory systems have been used for connected vehicles to optimize energy ***,for their practical utilization,presence of preceding vehicles and signals must be taken into ***,for Battery Electric Vehicles(BEVs),factors that deteriorate battery’s life cycle and discharging time must also be *** paper proposes an eco-driving control for connected BEV with traffic signals and other safety *** signals are considered as interior point constraints,while inter-vehicle distance with preceding vehicles,vehicle speed and battery charging/discharging limits,are considered as state safety ***-forward simulator based Speed Guidance Model is applied to follow the optimized velocity under powertrain safety *** of the proposed methodology is tested on a 5.3-km route in Islamabad,*** traffic data using Simulation of Urban Mobility under different driving scenarios is *** the proposed method,around 21% energy can be saved compared to the preceding vehicles that followed their random velocities under the same traffic and route *** means the EV controlled by the proposed method can have longer driving ***,the host BEV has crossed signals during their green time without collision with preceding *** charging rates and terminal Depth of Discharge indicate less number of charging cycles,thus proving the usefulness of the proposed solution as battery’s lifesaving strategy.

关键词： Eco-driving First-order Thevenin model Inter-vehicle safety constraint Interior point constraints

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Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction

Joint Out-of-Distribution Detection and Uncertainty Estimati...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Julian Wiederer Julian Schmidt Ulrich Kressel Klaus Dietmayer Vasileios Belagiannis Mercedes-Benz Group AG Stuttgart Germany Department of Multi-media Communication and Signal Processing Friedrich-Alexander-Universität Erlangen Germany Institute of Measurement Control and Microtechnology University Ulm Ulm Germany

Despite the significant research efforts on trajectory prediction for automated driving, limited work exists on assessing the prediction reliability. To address this limitation we propose an approach that covers two sources of error, namely novel situations with out-of-distribution (OOD) detection and the complexity in in-distribution (ID) situations with uncertainty estimation. We introduce two modules next to an encoder-decoder network for trajectory prediction. Firstly, a Gaussian mixture model learns the probability density function of the ID encoder features during training, and then it is used to detect the OOD samples in regions of the feature space with low likelihood. Secondly, an error regression network is applied to the encoder, which learns to estimate the trajectory prediction error in supervised training. During inference, the estimated prediction error is used as the uncertainty. In our experiments, the combination of both modules outperforms the prior work in OOD detection and uncertainty estimation, on the Shifts robust trajectory prediction dataset by 2.8 % and 10.1%, respectively. The code is publicly available 4 4 project page: https://***/againerju/joodu.

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An 0-norm-constrained adaptive algorithm for joint beamforming and antenna selection

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Digital signal processing: A Review Journal 2022年第0期126卷 103475-103475页

作者： Robert, Raimundo Nonato Gonçalves Pitz, Ciro André Batista, Eduardo Luiz Ortiz Seara, Rui LINSE—Circuits and Signal Processing Laboratory Department of Electrical and Electronics Engineering Federal University of Santa Catarina Santa Catarina Florianópolis88040-900 Brazil GEPS—Electronics and Signal Processing Group Department of Control Automation and Computation Engineering Federal University of Santa Catarina Santa Catarina Blumenau89036-004 Brazil

This paper presents a new adaptive algorithm for joint beamforming and antenna selection in mobile communication systems. Such an algorithm is of particular interest for massive multiple-input multiple-output (mMIMO) antenna systems along with limited number of available radio-frequency chains. The proposed algorithm is based on introducing an 0-norm constraint to an established adaptive-projection beamforming optimization scheme. In doing so, a real-time beamforming optimization can be carried out, resulting in a beamforming vector that tends to be sparse. The higher-magnitude elements of such a vector point out to the antenna-array elements that have the largest contribution to the output signal-to-interference-plus-noise ratio (SINR). Consequently, an effective antenna selection can be achieved directly by considering the magnitude of the beamforming coefficients. Simulation results confirm the effectiveness of the proposed algorithm in enhancing the output SINR. © 2022 Elsevier Inc.

关键词： Beamforming

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Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction

arXiv

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arXiv 2023年

作者： Wiederer, Julian Schmidt, Julian Kressel, Ulrich Dietmayer, Klaus Belagiannis, Vasileios Mercedes-Benz Group AG Stuttgart70546 Germany The Department of Multi-media Communication and Signal Processing Friedrich-Alexander-Universität Erlangen91058 Germany The Institute of Measurement Control and Microtechnology University Ulm Ulm89081 Germany

Despite the significant research efforts on trajectory prediction for automated driving, limited work exists on assessing the prediction reliability. To address this limitation we propose an approach that covers two sources of error, namely novel situations with out-of-distribution (OOD) detection and the complexity in in-distribution (ID) situations with uncertainty estimation. We introduce two modules next to an encoder-decoder network for trajectory prediction. Firstly, a Gaussian mixture model learns the probability density function of the ID encoder features during training, and then it is used to detect the OOD samples in regions of the feature space with low likelihood. Secondly, an error regression network is applied to the encoder, which learns to estimate the trajectory prediction error in supervised training. During inference, the estimated prediction error is used as the uncertainty. In our experiments, the combination of both modules outperforms the prior work in OOD detection and uncertainty estimation, on the Shifts robust trajectory prediction dataset by 2.8 % and 10.1 %, respectively. The code is publicly available Copyright © 2023, The Authors. All rights reserved.

关键词： Probability density function

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Millimeter-Wave Lightweight 3D-Printed 4×1 Aluminum Array Antenna

Millimeter-Wave Lightweight 3D-Printed 4×1 Aluminum Array A...

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European Conference on Antennas and Propagation, EuCAP

作者： Leticia Alonso-González José Rico-Fernández Álvaro F. Vaquero Manuel Arrebola GMV Aerospace and Defense Commercial Satellites Control Centers Tres Cantos (Madrid) Spain Signal Theory and Communications Group University of Oviedo Gijón Spain Information Processing and Telecommunications Center Universidad Politecnica de Madrid Madrid Spain

In this work, the additive manufacturing technique of Laser Powder-Bed Fusion is evaluated to manufacture metallic-only antennas for single-piece and lightweight prototypes. The proposed technique enables the production of metallic antennas without the need to, first, manufacturing a dielectric structure, and then, the application of a coating procedure. To validate the technique, a horn array antenna operating at the mm-wave frequency range is designed. The prototype is produced in a single piece of aluminum, including the radiating elements and the feeding network. The prototype is matched at 34.5 GHz, showing a good agreement with simulations. The prototype is measured in an anechoic chamber, and measurements show a good agreement with simulations at the frequencies in which the antenna is matched. The results show that Laser Powder-Bed Fusion is a potential alternative to produce metallic-only solutions, reaching single-piece and lightweight prototypes.

关键词： Antenna measurements Aluminum Prototypes Three-dimensional printing Manufacturing Frequency measurement Coatings

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Tribological behaviour diagnostic and fault detection of mechanical seals based on acoustic emission measurements

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Friction 2019年第6期7卷 572-586页

作者： Hossein TOWSYFYAN Fengshou GU Andrew D BALL Bo LIANG Institute of Sound and Vibration Research(ISVR) Digital Signal Processing and Control GroupUniversity of SouthamptonSouthampton SO171BJUK School of Computing and Engineering University of HuddersfieldHuddersfield HD13DHUK

Acoustic emission(AE) has been studied for monitoring the condition of mechanical seals by many researchers, however to the best knowledge of the authors, typical fault cases and their effects on tribological behaviour of mechanical seals have not yet been successfully investigated. In this paper, AE signatures from common faults of mechanical seals are studied in association with tribological behaviour of sealing gap to develop more reliable condition monitoring approaches. A purpose-built test rig was employed for recording AE signals from the mechanical seals under healthy and faulty conditions. The collected data was then processed using time domain and frequency domain analysis methods. The study has shown that AE signal parameters: root mean squared(RMS) along with AE spectrum, allows fault conditions including dry running, spring out and defective seal faces to be diagnosed under a wide range of operating conditions. However, when mechanical seals operate around their transition point, conventional signal processing methods may not allow a clear separation of the fault conditions from the healthy baseline. Therefore an auto-regressive(AR) model has been developed on recorded AE signals to classify different fault conditions of mechanical seals and satisfactory results have been perceived.

关键词： tribology acoustic emission condition monitoring

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An Incremental Noise Constrained Least Mean Square Algorithm

An Incremental Noise Constrained Least Mean Square Algorithm

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International Conference on Frontiers of signal processing (ICFSP)

作者： Usman Hameed Sajid Gul Khawaja Muhammad Omer Bin Saeed National University Of Sciences and Technology(NUST) Islamabad Pakistan Control and Signal Processing Research Group Islamabad Pakistan

This work proposes a distributed estimation algorithm for wireless sensor network, based on the incremental scheme. The proposed algorithm utilizes the noise variance in order to improve performance. The derivation and mean analysis are shown. The mean analysis of the algorithm is performed which show the range of step size and the stability of the algorithm. Under different scenarios experimental results show the superiority of the proposed algorithm.

关键词： Estimation signal to noise ratio Adaptive algorithms Cost function Adaptive systems signal processing algorithms Stability analysis

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Performance of different threshold estimation methods on SEMG wavelet de-noising in prolonged fatigue identification

Performance of different threshold estimation methods on SEM...

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2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018

作者： Jamaluddin, Fauzani N Ahmad, Siti A Mohd Noor, Samsul Bahari Hassan, Wan Zuha Wan Shair, E.F. Malaysia Control System and Signal Processing Group Australia Department of Electrical and Electronic Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia

ISBN: (纸本)9781538624715

Surface electromyography (SEMG) signals are widely used in fatigue identification. Fatigue after high intensity exercise and sports training needs to be balanced with rest to allow biochemical reactions during sports activity to return to a normal level. Inadequate rest leads to prolonged fatigue (PF) conditions such as musculoskeletal disorder, unexplained lethargy and performance decrement. Continuous sports training under these conditions may lead to injury. Fatigue identification at this stage is crucial since changes in amplitude and frequency of SEMG may determine whether the player is under normal fatigue (NF) or PF condition. During data collection, there are many interferences and noises which can reduce signal to noise ratio (SNR) of SEMG and affect PF detection. This paper pre-processed SEMG signals using Stationary Wavelet Transform (SWT) ‘db’ 45 with different threshold (Th) estimation techniques of de-noising such as RigRSURE, HeurSURE, minimax, universal threshold and a new estimation of threshold method which is based on a baseline of SEMG decomposition details. Naïve Bayes classification results using time and frequency features indicate that the new estimation of threshold method have the highest accuracy (98%), compared to RigRSURE (85%), HuerSURE (68%), Universal Threshold (74%) and minimax (76%). © 2018 IEEE

关键词： signal to noise ratio

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Estimation and Correction of I/Q Imbalance in Wideband Zero-IF Receiver

Estimation and Correction of I/Q Imbalance in Wideband Zero-...

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Information Technology and Computer Application (ITCA), International Conference on

作者： Shujie Guan Delin Cai Bin Wu Key Lab of Computing Intelligent and Signal Processing (Ministry of Education) Anhui University China Measurement and Control Communication R & D Center The 38th Research Institute of China Electronics Technology Group China

ISBN: (数字)9781728164946

ISBN: (纸本)9781728164953

In this paper, a time domain compensation method is proposed for in-phase (I)/quadrature (Q) mismatch occurring in a wideband Zero-IF radio architecture. First, training sequences are used for error estimation and the FIR filter are developed to reduce the imbalance between the IQ paths. Then, we perform channel equalization on the signal to solve the channel distortion still in the passband. The simulation results of the point-frequency continuous wave (CW) signal and the Radar Chirp signals (LFM) prove the effectiveness of the method. We have established a receiver system level hardware implement platform to test the practicality of the method. The test results show that the method can reduce the IRR by about 29dB.

关键词： Receivers Finite impulse response filters Wideband Time-domain analysis Hardware Radar OFDM

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine

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Network and Systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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