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Enhancing Safety of Power Supply systems in Automotive Applications: Integrating Functional Safety (FuSa) and Safety of the Intended Functionality (SOTIF)

Enhancing Safety of Power Supply Systems in Automotive Appli...

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International Conference on system Reliability and Science (ICSRS)

作者： Zhiyi Xu Armin J. Köhler Tobias Christian Traub Martin Dazer Engineering Vehicle Systems (XC-CE/EPP1) Robert Bosch GmbH Stuttgart Germany Engineering System Architecture (XC/EYA3) Robert Bosch GmbH Stuttgart Germany Institute of Machine Components - Reliability Technology University of Stuttgart Stuttgart Germany

ISBN: (数字)9798350354508

ISBN: (纸本)9798350354515

The automotive industry's development towards electrification and automation raises special attention to Safety-Related Availability (SaRA) of onboard power supply systems (powernets). This paper provides insights into the current state of safety development for powernets and highlights the challenges in the safety argumentation for batteries. Our key contributions are twofold: First, we synchronize FuSa and SOTIF safety processes to manage intricate interactions and enhance reusability. We present a case study demonstrating how this integrated process is applied to powernets. Second, we extend the application of SOTIF to low-level complex safety measures, such as battery diagnosis, as a supplement to the high-level functional safety concept. We further discuss the applicability of SOTIF to battery diagnosis and specifically focus on deriving acceptance criteria, identifying functional insufficiencies, defining triggering conditions, and comparing various validation methods. Despite the differences from AD/ADAS, SOTIF's goal to mitigate potential risks resulting from functional insufficiencies remains applicable to battery diagnosis. Finally, we propose a safety validation framework combining sensitivity analysis, probabilistic surrogate models, and importance sampling to provide quantitative safety argumentation. This paper primarily focuses on theoretical analysis and is intended to lay a robust theoretical foundation for power supply safety.

关键词： Monte Carlo methods Power supplies Sensitivity analysis Vehicle safety Electrification Probabilistic logic Safety Batteries Synchronization Reliability

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Enhancing EEG Artifact Removal Efficiency by Introducing Dense Skip Connections to IC-U-Net

Enhancing EEG Artifact Removal Efficiency by Introducing Den...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Kong-Yi Chang Yung-Chia Huang Chun-Hsiang Chuang Institute of Information Systems and Applications College of Electrical Engineering and Computer Science NTHU Taiwan Research Center for Education and Mind Sciences College of Education NTHU Taiwan Department of Engineering and System Science NTHU Taiwan

Electroencephalographic (EEG) data is considered contaminated with various types of artifacts. Deep learning has been successfully applied to developing EEG artifact removal techniques to increase the signal-to-noise ratio (SNR) and enhance brain-computer interface performance. Recently, our research team has proposed an end-to-end UNet-based EEG artifact removal technique, IC-U-Net, which can reconstruct signals against various artifacts. However, this model suffers from being prone to overfitting with a limited training dataset size and demanding a high computational cost. To address these issues, this study attempted to leverage the architecture of UNet++ to improve the practicability of IC-U-Net by introducing dense skip connections in the encoder-decoder architecture. Results showed that this proposed model obtained superior SNR to the original model with half the number of parameters. Also, this proposed model achieved comparable convergency using a quarter of the training data size.

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Predictability performance enhancement for suspended sediment in rivers: Inspection of newly developed hybrid adaptive neuro-fuzzy system model

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International Journal of Sediment Research 2022年第3期37卷 383-398页

作者： Rana Muhammad Adnan Zaher Mundher Yaseen Salim Heddam Shamsuddin Shahid Aboalghasem Sadeghi-Niaraki Ozgur Kisi State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Department of Urban Planning Engineering Networks and Systems Institute of Architecture and Construction South Ural State University New Era and Development in Civil Engineering Research Group Scientific Research Center Al-Ayen University Faculty of Science Agronomy Department Hydraulics Division University School of Civil Engineering Faculty of Engineering Universiti Teknologi Malaysia (UTM) Geoinformation Tech.Center of Excellence Faculty of Geomatics Engineering K.N.Toosi University of Technology Department of Computer Science and Engineering Sejong University Civil Engineering Department Ilia State University

Reliable modeling of river sediments transport is important as it is a defining factor of the economic viability of dams, the durability of hydroelectric-equipment, river susceptibility to pollution, suitability for navigation, and potential for aesthetics and fish habitat. The capability of a new machine learning model, fuzzy c-means based neuro-fuzzy system calibrated using the hybrid particle swarm optimization-gravitational search algorithm（ANFIS-FCM-PSOGSA） in improving the estimation accuracy of river suspended sediment loads（SSLs） is investigated in the current study. The outcomes of the proposed method were compared with those obtained using the fuzzy c-means based neuro-fuzzy system calibrated using particle swarm optimization（ANFIS-FCM-PSO）, ANFIS-FCM, and sediment rating curve（SRC） models. Various input combinations involving lagged river flow（Q） and suspended sediment（S） values were used for model development. The effect of Q and S on the model's accuracy also was assessed by including the difference between lagged Q and S values as inputs. The model performance was assessed using the root mean square error（RMSE）, mean absolute error（MAE）, Nash-Sutcliffe Efficiency（NSE）, and coefficient of determination（R2） and several graphical comparison methods. The results showed that the proposed model enhanced the prediction performance of the ANFIS-FCM-PSO（or ANFIS-FCM） models by 8.14%（1.72%）, 14.7%（5.71%）, 12.5%（2.27%）, and 25.6%（1.86%）,in terms of the RMSE, MAE, NSE and R2, respectively. The current study established the potential of the proposed ANFIS-FCM-PSOGSA model for simulation of the cumulative sediment load. The modeling results revealed the potential effects of the river flow lags on the sediment transport quantification.

关键词： Suspended sediment load Adaptive neuro-fuzzy system Particle swarm optimization Gravitational search algorithm

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Power Consumption Dashboard Using Iot

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Harbin Gongcheng Daxue Xuebao/Journal of Harbin engineering University 2023年第10期44卷 327-335页

作者： Sowmiya, S. Sakthivel, P. Nithya, C. Ravi, P. RanjithKumar, M. Computer Science and Engineering Mahendra Engineering College Mahendrapuri Mallasamudhram Namakkal India Information Technology Sona College of Technology Salem India Computer Science and Business System Knowledge Institute of Technology Namakkal India Information Technology K S R Institute for Engineering and Technology Tiruchengode Namakkal India Computer Science and Business Systems Knowledge Institute of Technology Namakkal India

"Power Consumption Dash Board Using IoT" was developed using a web application. The planned system includes a home energy monitoring system and cloud service notifications. An Internet of Things (IoT) platform was implemented to monitor energy consumption data at home and send the energy consumption data to the IoT cloud. The system uses the WiFi connected to the RaspberryPiPico to measure the energy consumption of the house. Energy consumption data is collected and stored in IoT cloud services. Consumers can monitor the energy consumption of their home on a daily basis and thus control how much energy is used on a daily basis. The data collection experiment aims to determine household energy consumption. Also, the website shows data on energy consumption before and after the load is connected to the system. IoT dashboard available online that allows users to check their daily energy consumption using IoT dashboard. IoT Cloud performs event analysis based on collected energy consumption data and alerts the owner with an alert, an email recommendation and a telegram notifying the customer when the energy consumption limit is exceeded, helping to reduce excessive energy consumption. © 2023 Editorial Board of Journal of Harbin engineering. All rights reserved.

关键词： Internet of things

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Non-Convex Potential Games for Finding Global Solutions to Sensor Network Localization

Non-Convex Potential Games for Finding Global Solutions to S...

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European Control Conference (ECC)

作者： Gehui Xu Guanpu Chen Yiguang Hong Baris Fidan Thomas Parisini Karl H. Johansson Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Control Science and Engineering Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai China Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo ON Canada Department of Electrical and Electronic Engineering Imperial College London London UK Department of Engineering and Architecture University of Trieste Trieste Italy

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

Sensor network localization (SNL) problems require determining the physical coordinates of all sensors in a network. This process relies on the global coordinates of anchors and the available measurements between non-anchor and anchor nodes. Attributed to the intrinsic non-convexity, obtaining a globally optimal solution to SNL is challenging, as well as implementing corresponding algorithms. In this paper, we formulate a non-convex multi-player potential game for a generic SNL problem to investigate the identification condition of the global Nash equilibrium (NE) therein, where the global NE represents the global solution of SNL. We employ canonical duality theory to transform the non-convex game into a complementary dual problem. Then we develop a conjugation-based algorithm to compute the stationary points of the complementary dual problem. On this basis, we show an identification condition of the global NE: the stationary point of the proposed algorithm satisfies a duality relation. Finally, simulation results are provided to validate the effectiveness of the theoretical results.

关键词： Location awareness Coordinate measuring machines Simulation Current measurement Noise Europe Games

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Discrete Event Simulation of Aircraft Sortie Generation on an Aircraft Carrier

Discrete Event Simulation of Aircraft Sortie Generation on a...

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Simulation Winter Conference

作者： Hee Chang Yoon Seung Heon Oh Jong Hun Woo Jung-Hoon Chung Hyuk Lee Sun-Ah Jung Department of Naval Architecture and Ocean Engineering Seoul National University Seoul Republic of Korea Department of System Dynamics Mechanical Systems Safety Research Division Korea Institute of Machinery & Materials Daejeon Republic of Korea

The Sortie Generation Rate (SGR) which refers to the number of sorties that can be generated per unit time, is a key indicator for evaluating the ability of an airbase. However, an aircraft carrier has many constraints compared to a land-based airbase, such as spatial and environmental constraints, making it difficult to apply existing land-based research to analyze aircraft carrier operations. On the other hand, the Sortie Generation Process (SGP) on an aircraft carrier is similar to a logistics/production system in that sorties are generated through aircraft. Therefore, this study proposes a framework for analyzing the SGP on an aircraft carrier using discrete event simulation and defines the classes that make up the simulation. In addition, SGP analysis simulations were implemented using the proposed framework and several experiments were performed to demonstrate the feasibility of applying the proposed framework in practice.

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Efficient IOT based COVID patient healthcare control system using arduino with mobile app

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Measurement: Sensors 2024年 33卷

作者： sudha, K. Mercy Theresa, M. Vinayagam, P. Suganthi, R. Sripriya, T. uthayakumar, G.S. Computer Science and Business System R. M. D Engineering College India Department of Data Science and Business Systems SRM Institute of Science and Technology Kattankulathur India Department of ECE Saveetha Engineering College India Department of ECE Panimalar Engineering College India Department of Electronics and Communication Engineering Jeppiaar Institute of Technology Tamilnadu Chennai India Department of ECE St.Joseph's Institute of Technology India

Healthcare monitoring frameworks emerged as one of the most essential frameworks and innovations established over the last decade. As a result of failing to provide adequate clinical attention to patients at the appropriate time, many people are facing the possibility of an untimely death. Ultimately, the goal was to develop an IoT-based integrated healthcare monitoring framework that could be relied upon by healthcare professionals to screen their patients, whether they were in the hospital or at home, to ensure that they were being well-cared for. Sensors, an information acquisition unit, a microcontroller (e.g., Arduino), and a product modification were used to construct a mobile phone-based remote healthcare monitoring framework that may provide continuous web-based data about a patient's physiological states (i.e., JAVA). The framework checks, displays, and stores the patient's temperature, heart rate, and EEG data before sending it out on the specialist's portable device with the application. In this way, an IoT-based patient monitoring framework may effectively monitor a patient's health state and save their life on time. © 2024

关键词： Data acquisition

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Performance Enhancement of a Vortex Ring Thruster by Adopting the Coanda Effect

SSRN

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SSRN 2023年

作者： Seok, Woochan Heo, Young Min Rhee, Shin Hyung Department of Naval Architecture and Marine System Engineering Pukyong National University Busan Korea Republic of Department of Naval Architecture and Ocean Engineering Seoul National University Seoul Korea Republic of Currently Ground Technology Research Institute Agency for Defense Development Daejeon Korea Republic of Research Institute of Marine Systems Engineering Seoul National University Seoul Korea Republic of

In this paper, we performed performance analysis on a regular vortex ring thruster (VRT) and a VRT enhanced by the Coanda effect (hereafter referred to as a CoVoRT) on axisymmetric geometry. The present study evaluates the propulsion performance in two ways. The first one quantifies the propulsion performance by calculating the ratio of energy input and energy output generated by two jets during a stroke of the piston motion. The second one is to observe the evolution and pinch-off process of a vortex ring with formation time, which is a non-dimensional time scale. The comparison of propulsion performance was conducted with changes in the curvature of the Coanda jet, changes in the length of the Coanda jet exit, and changes in the Coanda jet velocity and piston stroke ratio. For quantitative evaluation of propulsion performance, the propulsion performance evaluation index (PPEI) was introduced. The results showed that the PPEI of a CoVoRT was improved by about 50% compared to that of a VRT, and it was confirmed that the dynamic characteristics of a CoVoRT’s vortex ring were superior to those of a VRT in terms of propulsion performance. © 2023, The Authors. All rights reserved.

关键词： Computational fluid dynamics

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Electronic Energy system and Energy Management Algorithm for FutureHAUS

Electronic Energy System and Energy Management Algorithm for...

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IEEE Conference on Power Electronics and Renewable Energy (CPERE)

作者： Vladimir Mitrovic Igor Cvetkovic Dushan Boroyevich Joseph Wheeler Robert Vance The Bradley Dep. of Electrical and Computer Engineering College of Engineering Center for Power Electronics Systems Virginia Polytechnic Institute and State University Blacksburg VA USA Center for Design Research School of Architecture + Design College of Architecture and Urban Studies Virginia Polytechnic Institute and State University Blacksburg VA USA

Technology advancements that happened in the last two decades have changed the way how people live, interact, and work more than any technology did in the past 100 years or so. Not only little “gadgets” enabled this enormous paradigm shift, the new innovative concepts have been well integrated into the design and manufacturing of computers, appliances, automobiles, airplanes, and ships, and it was about time to start seeing these concepts applied to the homes where building practices, by contrast, experienced a very slow, if not resistant effort to advance. At least they did before Virginia Tech demonstrated the use of advanced manufacturing concepts, prefabricated structures, and a great number of power electronics to redefine the conventional practice of modern home design. Its FutureHAUS won first place at the international competition in Dubai, UAE, validating an enormous societal desire to see this change finally happening. This paper will describe details of the electronic energy system implementation as well as an energy management algorithm developed to successfully achieve a net-positive energy balance in the FutureHAUS.

关键词： Resistance computers Renewable energy sources Home appliances Decision making Inverters Manufacturing

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Covert Communication in Satellite-Terrestrial systems with a Full-Duplex Receiver

Covert Communication in Satellite-Terrestrial Systems with a...

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Satellite Internet (SAT-NET), International Conference on

作者： Zewei Guo Ranran Sun Ji He Yulong Shen Xiaohong Jiang School of Systems Information Science Future University Hakodate Hakodate Japan Hangzhou Institute of Technology Xidian University Hangzhou China School of Computer Science and Technology Xidian University Xi’an China Academy of Military Sciences Institute of Systems General Academy of Systems Engineering Beijing China Shaanxi Key Laboratory of Network and System Security Xidian University Xi’an China

ISBN: (数字)9798350375176

ISBN: (纸本)9798350387469

This paper investigates the covert communication in a satellite-terrestrial system, including a satellite transmitter Alice, a terrestrial full-duplex receiver Bob and a terrestrial warden Willie. To help the covert transmission from Alice, the full-duplex Bob transmits the jamming signal to confuse Willie and also receives the signal from Alice simultaneously. To explore the fundamental covertness in such a system, we first provide theoretical modelings for satellite-terrestrial downlink, and the detection error probability of Willie. Based on these models, we then study the transmit power optimization for covert rate maximization. Finally, we present extensive numerical results to validate our theoretical analysis and to illustrate the impact of various system parameters on the maximum covert rate.

关键词： Satellites Error probability Transmitters Full-duplex system Receivers Space-air-ground integrated networks Downlink Numerical models Jamming Optimization

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