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arXiv 2022年

作者： Sun, Shuai Jelfs, Beth Ghorbani, Kamran Matthews, Glenn Gilliam, Christopher Navigation College Dalian Maritime University Liaoning China Dept. Electronic Electrical & Systems Engineering University of Birmingham Birmingham United Kingdom School of Engineering RMIT University Melbourne Australia

This paper focuses on efficient landmark management in radar based simultaneous localization and mapping (SLAM). Landmark management is necessary in order to maintain a consistent map of the estimated landmarks relative to the estimate of the platform’s pose. This task is particularly important when faced with multiple detections from the same landmark and/or dynamic environments where the location of a landmark can change. A further challenge with radar data is the presence of false detections. Accordingly, we propose a simple yet efficient rule based solution for radar SLAM landmark management. Assuming a low-dynamic environment, there are several steps in our solution: new landmarks need to be detected and included, false landmarks need to be identified and removed, and the consistency of the landmarks registered in the map needs to be maintained. To illustrate our solution, we run an extended Kalman filter SLAM algorithm in an environment containing both stationary and temporally stationary landmarks. Our simulation results demonstrate that the proposed solution is capable of reliably managing landmarks even when faced with false detections and multiple detections from the same landmark. © 2022, CC BY.

关键词： Radar

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Would ecological and technological consciousness shape e-vehicle purchase intentions? Insights from an emerging market

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Socio-Ecological Practice Research 2024年第1期6卷 55-67页

作者： Sharma, Hemendra Kovid, Raj K. Tewari, Alok Singh, Thipendra P. Choudhury, Tanupriya Ajeenkya DY Patil University Pune India Sharda School of Business Studies Sharda University Greater Noida India Faculty of Management Dr. A.P.J. Abdul Kalam Technical University Lucknow India School of Computer Science Engineering and Technology Bennett University Greater Noida India Symbiosis Institute of Technology Symbiosis International (Deemed University) Maharashtra Pune 412115 India CSE Dept. Graphic Era (Deemed to be University) Uttarakhand Dehradun 248002 India

Ecological consciousness is increasingly influencing receptivity of consumers toward electric vehicles by consumers. This study examines factors influencing Indian potential car buyers' intent to purchase electric vehicles by applying the theory of planned behavior (TPB) to assess the impact of technological consciousness, ecological consciousness, and opinion-seeking on their purchase intention. The survey method was used to collect data from 445 respondents in the northern region of India, employing a structured questionnaire. Responses were analyzed using structural equation modeling for testing the proposed hypotheses. The findings of the study reveal that attitude, subjective norms, perceived behavioral control, technological consciousness, ecological consciousness, and opinion-seeking significantly influence customers' intention to purchase electric vehicles. This study is a novel attempt to predict how ecological consciousness, technological consciousness, and opinion-seeking influence potential buyers’ intentions to purchase electric cars. In doing so, it extends the TPB in context of an emerging economy. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2023.

关键词： Ecological consciousness Electric vehicles Opinion-seeking Technological consciousness Technology adoption

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MAPPING EXTENDED LANDMARKS FOR RADAR SLAM

arXiv

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arXiv 2022年

作者： Sun, Shuai Gilliam, Christopher Ghorbani, Kamran Matthews, Glenn Jelfs, Beth Navigation College Dalian Maritime University Liaoning China Dept. Electronic Electrical & Systems Engineering University of Birmingham Birmingham United Kingdom School of Engineering RMIT University Melbourne Australia

Simultaneous localization and mapping (SLAM) using automotive radar sensors can provide enhanced sensing capabilities for autonomous systems. In SLAM applications, with a greater requirement for the environment map, information on the extent of landmarks is vital for precise navigation and path planning. Although object extent estimation has been successfully applied in target tracking, its adaption to SLAM remains unaddressed due to the additional uncertainty of the sensor platform, bias in the odometer reading, as well as the measurement non-linearity. In this paper, we propose to incorporate the Bayesian random matrix approach to estimate the extent of landmarks in radar SLAM. We describe the details for implementation of landmark extent initialization, prediction and update. To validate the performance of our proposed approach we compare with the model-free ellipse fitting algorithm with results showing more consistent extent estimation. We also demonstrate that exploiting the landmark extent in the state update can improve localization accuracy. © 2022, CC BY.

关键词： Mapping

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An alternative inverter control strategy for grid connected solar photovoltaic (SPV) system 9

An alternative inverter control strategy for grid connected ...

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9th IEEE Power India International Conference, PIICON 2020

作者： Bagchi, Soubhik Chatterjee, Debashis Bhaduri, Rupam Biswas, Pabitra Kr Budge Budge Institute of Technology Dept. of Electrical Engineering Kolkata India Jadavpur University Dept. of Electrical Engineering Kolkata India Dayananda Sagar Academy of Technology Management Dept. of Electrical Electronics Engineering Bangalore India National Institute of Technology Dept. of Electrical Electronics Engineering Mizoram India

ISBN: (纸本)9781728166643

Use of distribution generation (DG) system in large scale is becoming an encouraging scenario for electric power generation. For this purpose, three-phase voltage source inverter (VSI) carried out a major role to link between DG and grid. The inverter must be operated smoothly and stay connected during voltage sag or any kind of disturbances takes place. Till date, several control strategies have been invented and also implemented in different systems globally to maintain the healthy operation of the inverter. This paper proposes an alternative method to control the voltage source inverter of grid-connected solar photovoltaic (SPV) system. The proposed work is focused on an alternative inverter control process based on a synchronously reference frame phase-locked loop (SRF-PLL). A modified dual-loop feedback control strategy has been introduced and implemented in the proposed system to show effective control of a three-phase grid-connected voltage source inverter. All the simulations have been carried out and verified in MATLAB/SIMULINK environment. © 2020 IEEE.

关键词： Electric power generation

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Chaotic American zebra search optimization algorithm for benchmark challenges

Chaotic American zebra search optimization algorithm for ben...

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Vikram Kumar Kamboj Ardhala Bala Krishna Chaman Verma Maria Simona Raboaca Constantin Filote Maria Stepanova Schulich School of Engineering University of Calgary Alberta Canada Dept. of Electrcical and Electronics Engineering Malla Reddy Engineering College for Women Hyderabad India Dept. of Media and Edu. Informatics Faculty of Informatics Eötvös Loránd University Budapest Hungary ICSI Energy Department National Research and Development Institute for Cryogenics and Isotopic Technologies Ramnicu Valcea Romania Faculty of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava Romania Engineering Business and Management Faculty Bauman Moscow State Technical University Russia

In this research, we presented a modification to the recently developed swarm premised American zebra search optimization algorithm (AZOA) using chaos. The particular Singer mapping was proposed by the so-called chaotic AZOA and was already known to perform better in optimization. Twelve uni, multi modal benchmark functions, three-bar truss and ten bar truss optimal structural designs were tested. The chaotic AZOA with Singer map would perform more effectively, more consistently, and quicker than the classical AZOA and other recent metaheuristics in optimization, according to the results, which also supported the viability of the modifications. It was discussed if the chaotic AZAO could be optimized with the original AZOA, and the chaotic AZOA was suggested for use in applications for actual engineering challenges.

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Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation

Modular Cyber-Physical System for Smart Industry: a case stu...

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International Conference on Control, Automation and Diagnosis (ICCAD)

作者： Jorge Alves Pedro Sousa Bárbara Matos Jérôme Mendes Francisco Souza Tiago Matias Department of Electrical and Computer Engineering University of Coimbra Institute of Systems and Robotics Coimbra Portugal Oncontrol Technologies Coimbra Portugal Dept. Analytical Chemistry & Chemometrics Radboud University Nijmegen AJ Netherlands

Constant changes have marked the industry, and cyber-physical systems have offered great potential in Industry 4.0 on production processes, allowing the integration of computational intelligence and real-time processing. In this context, this paper proposes a modular hardware system for industrial applications according to a plug & play concept. The proposed system comprises a processing module (mPP) and specific expansion modules (mEXs). The mPP is responsible for administrating the network/communication. It collects data from the mEXs, extracts features, processes the features through artificial intelligence, and interacts with the production process. The mEXs comprise sensors, conditioning circuits, and an analog/digital converter. They are responsible for acquiring field signals and their transmission to the mPP. The proposed system is designed for operating with electrical protection, allowing reliable operation of the mPP and mEXs. For evaluating and demonstrating the proposed system in a real scenario, we applied it in a case study for non-intrusive energy load disaggregation.

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A succinct overview on the Impact of Traceability: benefits and challenges

A succinct overview on the Impact of Traceability: benefits ...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Omolayo M. Ikumapayi Ayodiran O. Banjoko Opeyeolu T. Laseinde Boluwaji G. Jaiyesimi Temitayo M. Azeez Peter Onu Department of Mechanical & Mechatronics Engineering Afe Babalola University Ado Nigeria Dept. of Mechanical & Industrial Engineering Technology University of Johannesburg Johannesburg South Africa Department of Mechanical and Mechatronics Engineering Afe-Babalola University Ado Ekiti Nigeria Department of Mechanical and Industrial Engineering Technology University of Johannesburg South Africa Department of Mathematical and Physics Sciences Afe Babalola University Ado Ekiti Nigeria Department of Quality and Operations Management University of Johannesburg South Africa College of Agriculture Engineering and Science Bowen University Iwo Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Right from the post-colonial era, the persistent relegation of traceability in metrology has not only dealt a heavy blow on quality control of the industrial products of the countries in the sub-saharan African region but also created a false impression that the technological products of the colonial masters are always better than those made by their indigenous counterparts, thus subjecting the entire region to neo-colonization. Consequently, this research work has beamed its searchlight on impacts of traceability on technology and quality control with a view to analysing and establishing the link between traceability and metrology. Organizations also have a duty to protect accurate and traceable measurements of data, especially in industries where safety, health and the environmental impact are critical. This paper investigates the relevance of traceability in various sectors, concentrating on its roles in maintaining measurement standards, regulatory compliance and product quality control besides the colossal benefits to technology. This paper also examines implementation issues that business and industries encounter while building traceability systems and recommends the best practices in overcoming the challenges.

关键词： Industries Accuracy Reviews Standards organizations Quality control Metrology Product design Safety Quality assessment Reliability

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Communication-Aware Flight Algorithm for UAVs in Delay-Tolerant Aerial Networks

Communication-Aware Flight Algorithm for UAVs in Delay-Toler...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Hiroyuki Asano Hiraku Okada Chedlia Ben Naila Masaaki Katayama Dept. of Information and Communication Engineering Nagoya University Furo-cho Chikusa-ku Nagoya Japan Institute of Materials and Systems for Sustainability Nagoya University Furo-cho Chikusa-ku Nagoya Japan

This study proposes a flight algorithm for delay-tolerant networks using unmanned aerial vehicles (UAVs) that cooperatively serve users on the ground. Information from a ground user is relayed across UAVs in a store-and-forward manner before transferring to another user. The network performance considerably depends on how UAVs move because of this feature. In this study, two types of intermittent communication between UAVs and between a UAV and a user are jointly considered to a varying degree in the UAV operation. The measure and optimization problem for UAVs to move are devised, and this measure is heuristically maximized. Simulation results demonstrated the effectiveness of the proposed algorithm in terms of information delivery with certain insights in the UAV movement based on UAV-to-user and UAV-to-UAV communication concepts.

关键词： Simulation Autonomous aerial vehicles Particle swarm optimization Optimization

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Learning thermodynamically constrained equations of state with uncertainty

arXiv

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arXiv 2023年

作者： Sharma, Himanshu Gaffney, Jim A. Tsapetis, Dimitrios Shields, Michael D. Dept. of Civil and Systems Engineering Johns Hopkins University BaltimoreMD21212 United States Lawrence Livermore National Laboratory 7000 East Ave LivermoreCA94550 United States

Numerical simulations of high energy-density experiments require equation of state (EOS) models that relate a material's thermodynamic state variables - specifically pressure, volume/density, energy, and temperature. EOS models are typically constructed using a semi-empirical parametric methodology, which assumes a physics-informed functional form with many tunable parameters calibrated using experimental/simulation data. Since there are inherent uncertainties in the calibration data (parametric uncertainty) and the assumed functional EOS form (model uncertainty), it is essential to perform uncertainty quantification (UQ) to improve confidence in the EOS predictions. Model uncertainty is challenging for UQ studies since it requires exploring the space of all possible physically consistent functional forms. Thus, it is often neglected in favor of parametric uncertainty, which is easier to quantify without violating thermodynamic laws. This work presents a data-driven machine learning approach to constructing EOS models that naturally captures model uncertainty while satisfying the necessary thermodynamic consistency and stability constraints. We propose a novel framework based on physics-informed Gaussian process regression (GPR) that automatically captures total uncertainty in the EOS and can be jointly trained on both simulation and experimental data sources. A GPR model for the shock Hugoniot is derived and its uncertainties are quantified using the proposed framework. We apply the proposed model to learn the EOS for the diamond solid state of carbon, using both density functional theory data and experimental shock Hugoniot data to train the model and show that the prediction uncertainty is reduced by considering the thermodynamic constraints. © 2023, CC BY.

关键词： Equations of state

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Wireless Sensor Networks and Green Networking for 6G communication- An Overview

Wireless Sensor Networks and Green Networking for 6G communi...

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Computational Intelligence, Communication Technology and Networking (CICTN), International Conference on

作者： Ramiz Salama Fadi Al-Turjman Dibyahash Bordoloi Satya Prakash Yadav Department of Computer Engineering AI and Robotics Institute Research Center for AI and IoT Near East University Nicosia Turkey Artificial Intelligence Engineering Dept. AI and Robotics Institute Near East University Nicosia Turkey Faculty of Engineering Research Center for AI and IoT University of Kyrenia Kyrenia Turkey Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun RS CSE Graphic Era University Dehradun Department of Computer Science and Engineering G.L. Bajaj Institute of technology and Management (GLBITM) Greater Noida India

Wireless sensor networks and green networking have been major research areas in the field of communication technology for the past few decades. In particular, the development of 6G communication systems has brought renewed focus on these areas, as the demands for higher data rates, more diverse applications, and lower energy consumption continue to increase. The use of wireless sensor networks in 6G communication systems has been widely explored in the literature, and has shown great potential for a wide range of applications, including environmental monitoring, industrial process control, and healthcare. However, a key challenge in the deployment of these networks is ensuring their energy efficiency, as the demands on the network will be much higher than in previous generations. To address this challenge, researchers have proposed various green networking techniques, such as energy harvesting and low-power communication protocols, which have been shown to significantly reduce the energy consumption of the sensors. In addition to improving the energy efficiency of wireless sensor networks, researchers have also studied their reliability, scalability, and adaptability. These properties are important in 6G communication systems, as the demands on the network are expected to be much higher than in previous generations. Researchers have proposed various methods to improve the reliability, scalability, and adaptability of wireless sensor networks, including the use of error-correction codes, redundant communication channels, and machine learning algorithms.

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