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6th IEEE Pune Section International Conference, PuneCon 2023

作者： Ingole, Ashlesha De, Sampurna Bazil Raj, A.A. Radar System Laboratory Department of Electronics Engineering India Defence Institute of Advanced Technology Pune411025 India Rf Photonics Department of Electronics Engineering India

ISBN: (纸本)9798350324204

Ground Penetrating Radar (GPR) is a non destructive geophysical technique that uses electromagnetic waves to image the subsurface. GPR has a wide range of applications including archaeological survey, landmine and tunnel detection, glacier analysis, and many more. However, GPR systems are limited by their resolution and sensitivity. Stepped Frequency Continuous Wave (SFCW) radar is a promising technique for subsurface scanning due to its high resolution and sensitivity. SFCW radar systems are complex and require significant processing to extract important and meaningful information from received signals. This paper proposes a novel SFCW radar system based on GNU Radio and MATLAB for subsurface scanning with intelligent classification algorithms. The proposed system uses a stepped frequency waveform to achieve high resolution and employs intelligent classification algorithms to identify and classify the subsurface targets. The system is implemented using GNU Radio and MATLAB, and its performance is evaluated using simulated and real-world data. The simulated data are generated using a subsurface scattering model, while the real world data are collected from a subsurface test bed. The results demonstrate that the proposed system can effectively identify and accurately classify subsurface targets. © 2023 IEEE.

关键词： Ground penetrating radar systems

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Leveraging Adaptive Algorithms for Real-Time Data Analysis 15

Leveraging Adaptive Algorithms for Real-Time Data Analysis

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sahoo, Girija Shankar Hannah Jessie Rani, R. Goyal, Manish Kumar Mohammed, Vazeer Ali Jana, D Little Femilin Wasatkar, Namrata N. Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Application Jaipur India Lewis University Illinois Department of Computer & Information System United States Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350370249

This paper proposes the use of adaptive algorithms for real-time data analysis. Adaptive algorithms are a set of practical methods used for acting information-driven optimization and studying. They have a wide variety of applications and may be implemented to a selection of facts analysis obligations. This paper offers an overview of existing adaptive algorithms and descriptions of several new programs in the area of actual-time facts analysis. In particular, the paper discusses the notion of adaptive thresholding, which allows for practical real-time evaluation of large datasets. The paper also provides a novel technique for making use of these algorithms in an online learning environment. Results from simulations illustrate the ability of the proposed method in real-international packages. Sooner or later, the paper presents numerous key lessons discovered and affords recommendations for future research and packages in this area. © 2024 IEEE.

关键词： Adaptive algorithms

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On the Meso-structure Spatial Variability Characterizing and Geometric Modelling of Textile-Based Composite via Volume Imaging 23

On the Meso-structure Spatial Variability Characterizing and...

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23rd International Conference on Composite Materials, ICCM 2023

作者： Yang, Bin Wang, Jihui Causse, Philippe Béguin, Cédric Trochu, François Department of Mechanical Engineering Polytechnique Montréal Canada School of Material Science and Engineering Wuhan University of Technology China Department of System Engineering École de Technologie Supérieure Canada

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STUDY ON THE PERMEATION MECHANISM OF HOLLOW FIBER MEMBRANES

STUDY ON THE PERMEATION MECHANISM OF HOLLOW FIBER MEMBRANES

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Zhou, Yu Wang, Yangyang Fuel System Department Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing China The Aviation Electromechanical System Integration of Aviation Science and Technology Key Laboratory Nanjing China

After the fiber membrane material is determined, the aircraft is more concerned about the flow rate of nitrogen-rich gas under a certain nitrogen-rich gas (NEA) concentration, thereby determining the inerting time of the fuel tank. This paper mainly introduces the separation principle and related parameters of fiber membranes, as well as the types and separation performance of different fiber membranes. The asymmetric polyimide membrane, which is more commonly used in airborne nitrogen inerting, is used to verify the effects of different temperatures, pressures, and altitudes on the separation efficiency of the fiber membranes through experiments. The results of the research can provide a basis for the design of subsequent high-efficiency hollow fiber membranes. © The Institution of engineering & technology 2024.

关键词： Nafion membranes

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Trajectory Optimization for Autonomous Driving in Uncertain Environments Integrated with Risk-Based Corridors 27

Trajectory Optimization for Autonomous Driving in Uncertain ...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Li, Zheng Wang, Yijing Zuo, Zhiqiang Shi, Yang Zhao, Rui School of Electrical and Information Engineering Tianjin University Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System China University of Victoria Department of Mechanical Engineering VictoriaBC Canada

ISBN: (纸本)9798331505929

Lane change maneuvers of autonomous vehicles in a dynamic highway environment suffer from various uncertainties, especially those from unknown kinematics of surrounding vehicles. In this paper, an optimization-based trajectory planning scheme is proposed to reliably generate collision-free lane change references. By an inner approximation of risk contour, the probabilistic constraints under a given risk level can be converted to the deterministic form, and then, the risk-based corridors are constructed. Decoupled longitudinal and lateral states are sequentially optimized in terms of such corridors and the preferentially determined boundaries of merging instant. Finally, the optimal trajectory is selected from all fused candidates via a prescribed cost indicator. Through both numerical examples and validations on the naturalistic human driving dataset, the advantages of our scheme in reducing crash risks are verified from both statistical analysis and case studies. © 2024 IEEE.

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Comparing Network RTK and Own RTK Base Station for Lateral Tracking in GNSS-Based Navigation: An Autonomous Golf Cart Study 23

Comparing Network RTK and Own RTK Base Station for Lateral T...

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23rd International Conference on Control, Automation and systems, ICCAS 2023

作者： Duenkwang, Surayuth Ketkarn, Chutimon Wanichphol, Sorravee Panomruttanarug, Benjamas King Mongkut University Technology Thonburi Department of Control System and Instrumentation Engineering Bangkok10140 Thailand

ISBN: (纸本)9788993215274

This study investigates the impact of utilizing a network RTK and our own RTK base station on the lateral tracking performance of a GNSS-based navigation system. The experiment employs an adaptive PID controller and compares the performance of both methods on an autonomous golf cart. The tracking path, composed of straight and curve segments, is manually generated based on the network RTK. The adaptive PID controller, with the gains tuned based on the slope of the path, is used to perform the tracking based on the real-time positioning observed from the network RTK as well as our own RTK base station. The results demonstrate that both network RTK and our own RTK base station achieve acceptable tracking performance, with lateral errors remaining within acceptable limits. Our own RTK base station exhibits slightly lower lateral errors compared to the network RTK, indicating improved tracking accuracy. However, setting up and maintaining our own RTK base station requires a more complex process and additional costs for an extra GNSS receiver. Hence, the choice between the two methods involves a trade-off between enhanced performance and the associated complexities. © 2023 ICROS.

关键词： Base stations

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Detection of Pancreatic Cancer Cells at Early Stage and Recommend the Treatment Process 6

Detection of Pancreatic Cancer Cells at Early Stage and Reco...

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6th International Conference on Recent Trends in Advance Computing, ICRTAC 2023

作者： Margret Sharmila, F. Shree Harini, R. Vityarubbasiri, M. Gopi Krishna, S. Sri Krishna College of Engineering and Technology Department of Computer Science and Business System Coimbatore641008 India

ISBN: (纸本)9798350394702

Early identification and diagnosis of cancerous cells will focus on the symptomatic patients, to give the best way of successful treatment. When the detection of cancer is delayed, then there is a lower chance of survival, high problems with treatment and higher cost estimates. Considering Pancreas Cancer growth, a type of cancer that is difficult to identify because there are less or no symptoms found at the early stage. So, we introduce Artificial Intelligence (AI) technology to identify pancreatic cancer cells. This is the first insight that is provided to detect cancerous cells at the early stage. With the use of technologies, anything is possible, so we use the process of medical imaging analysis, data processing and Machine Learning (ML) for the recognition. Data is collected through MRI and CT scan reports, biomarkers tests, liquid biopsies, endoscopic techniques, early symptom monitoring, and genetic testing which is then categorized into train and test sets. Every training data set is analyzed to provide a standard image to extract the features with the use of OpenCV. Building an AI model with the use of the Convolutional Neural Network (CNN) algorithm with an efficient set of filters. Training the model with the training data set helps to improve the accuracy of predicting results. When it is ready, the testing data set is used to check the accuracy of predictions. Finally, by assessing the model based on the performance metrics from both training and testing datasets, accuracy is achieved. After achieving a certain level of accuracy, and leveraging ML algorithms such as Hybrid models, the system can provide treatment recommendations consistent with a separate training dataset. This training dataset comprises predicted treatments corresponding to the achieved accuracy. After, the system is prepared for deployment. The envisioned process can track the patient's status for future use. © 2023 IEEE.

关键词： Forecasting

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Finite element analysis using elasto-visco-plastic self-consistent polycrystal model for E-form Mg sheet subjected to bending

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Journal of Magnesium and Alloys 2023年第4期11卷 1393-1407页

作者： Bohye Jeon Min-Seong Kim Shi-Hoon Choi Youngung Jeong Department of Materials Convergence and System Engineering Changwon National UniversityChangwon-siGyeongnamRepublic of Korea Center for Energy Materials Research Korea Institute of Science and TechnologySeoulRepublic of Korea Department of Advanced Components and Materials Engineering Sunchon National UniversitySuncheon-siJeollanam-doRepublic of Korea School of Materials Science and Engineering Changwon National UniversityChangwon-siGyeongnamRepublic of Korea

The mechanical behavior of a magnesium alloy E-form under bending was investigated using the elasto-visco-plastic polycrystal model(ΔEVPSC) and its finite element(FE) implementation(ΔEVPSC-FE) developed in Jeong et al. and Jeong and Tomé. The crystallographic orientation distribution(COD) obtained from X-ray diffraction was used to represent the initial texture, and the Voce hardening parameters were calibrated by fitting the uniaxial tension and the compression flow stress curves. A quasi-static FE analysis of a miniaturized V-bending operation was conducted using the ΔEVPSC-FE model. The bending induced an inhomogeneous stress response along the through-thickness and the lateral directions, which was well captured by the model. Moreover, the predictive capability of the model was validated by comparing with various experimental results such as(1) force vs. displacement curves;(2) the through-thickness variations in the twin volume fraction;and(3) the changes in crystallographic texture as a function of displacement. Additional bending simulation was performed using an isotropic texture, the result of which suggests that the potential improvement in bendability of the magnesium alloy is attainable by weakening the initial texture. Moreover, the simulation results imply that the crystallographic texture, which may affect the twin activation across the thickness direction, plays a significant role in the shifting direction of the neutral layer.

关键词： FEM Texture V-bending Polycrystal Magnesium Elasto-visco-plasticity

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Smelting and Selective Reduction of Limonitic Laterite Ore in Mini Blast Furnace

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Journal of The Institution of Engineers (India): Series D 2022年第2期103卷 591-600页

作者： Pintowantoro, Sungging Panggabean, Patrick Christopher Setiyorini, Yuli Abdul, Fakhreza Department of Materials and Metallurgical Engineering Faculty of Industrial Technology and System Engineering Institut Teknologi Sepuluh Nopember Arief Rahman Hakim Street Surabaya60111 Indonesia

One main source of nickel besides nickel sulfide ore is laterite nickel ore. Laterite ore is more sustainable and has abundant reserves. Nowadays, nickel demands are increasingly needed either for the manufacture of stainless steel or nickel-based batteries. This study aims to study the smelting process of limonitic laterite nickel ore. The smelting process was performed using a Mini Blast Furnace pilot plant with a capacity of ten tons of ore per day or 350 kg per batch. In the interest of modifying the properties of slag and enhance selective reduction, limestone and coal were used. The smelting process was performed by feeding raw material bearing nickel (ore and sinter) as much as 480 kg. The ratio of nickel:sintered:coal:limestone was 1:2.3:2.73:(1.14–1.44). The blast air used was 26 m3/min. Then, the crude ferronickel or nickel pig iron products and the resulting slag were characterized using EDX and XRD. As a result, the resulting crude ferronickel products had relatively high nickel and sulfur contents, namely 24.30% and 1.15%, respectively. In addition, the nickel recovery produced was 64.3%. Selective reduction proved can be enhanced by amount of limestone fed into Mini Blast Furnace. © 2022, The Institution of Engineers (India).

关键词： Slags

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ARCHITECTURE DESIGN AND VERIFICATION OF INERT GAS DISTRIBUTION system

ARCHITECTURE DESIGN AND VERIFICATION OF INERT GAS DISTRIBUTI...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Wang, Yangyang Wang, Chenchen Fuel System Department Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing China The Aviation Electromechanical System Integration of Aviation Science and Technology Key Laboratory Nanjing China

This study addresses the requirements for tank inerting and proposes application-oriented architectures for inert gas distribution system. Utilizing AMEsim, a multi-tank simulation model is constructed. The accuracy of the model was validated through experimental data,demonstrating its applicability for engineering calculations. Furthermore,the model was utilized to analyze both series and parallel schemes of the distribution system. Results suggest that the series scheme effectively reduces tank oxygen concentration, enhances system reliability and oxygen concentration uniformity, and achieves higher inert gas utilization rates with simplified pipeline arrangements. Consequently, we recommend adopting the series scheme for inert gas distribution system. These findings provide a basis for designing and optimizing inerting system. © The Institution of engineering & technology 2024.

关键词： Tanks (containers)

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