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2nd International conference on Human-Centric Smart Computing, ICHCSC 2023

ISBN: (纸本)9789819977109

The proceedings contain 53 papers. The special focus in this conference is on Human-Centric Smart Computing. The topics include: Securing Data Based on Lightweight Algorithm for Internet of Things Networks;an Exploration of How Children Can Be Proactive for Their Own Digital Privacy and Security in the Perspective of North-Eastern Bangladesh;A Scalable URL-Based Phishing Websites Detection System Using Machine Learning Techniques;accident Detection and Prevention for advanced Driver Assistance System;labor Safety Analysis Using Object Recognition and Deep Learning;diagnosis of Faults in Wireless sensor Networks Through Machine Learning Approach;career Change: Systematic Literature Review and Future Research Agenda;prediction of Heart Disease and Improving Classifier Performance Using Particle Swarm Optimization;Registration of CT Images of Lung Using Fireworks Algorithm;Exploring Artificial Neural Network for x-Parameter and S-Parameter Modelling of HEMT;Exploratory Review of applications of Machine Learning for Small- and Medium-Sized Enterprises (SMEs);Bank’s Efficiency & The Liquidity Coverage Ratio (LCR) of Indian Banks: Using Data Envelopment Analysis Approach;a Comparative Analysis of Eye Movement and Gaze Tracking Algorithms;response Surface and Artificial Neural Network Simulation Used in Dissolution Enhancement of Poorly Soluble Lornoxicam Using Microwave-Assisted Solid Dispersion Technique;Optimizing Analysis of Donepezil HCl and Memantine HCl Using Multivariate Analysis as a Data Mining Tool in HPTLC Methodology;applying a Privacy Policy for E-Waste Management in Bangladesh;spider Monkey Optimization-Based Image Data Forgery Detection Over Vehicular Cloud Computing;Two-Stage ASL Detection Architecture: A Hand Sign Languages Detection Scheme;retinal Vessel Segmentation Using a Novel U-Net Architecture with Data Augmentation.

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The Research on Reconfigurable Intelligent Surface progress, challenges and applications 3

The Research on Reconfigurable Intelligent Surface progress,...

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3rd International conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Li, Hao Yu, Yiming Gao, Songtao Cao, Yangyang China Mobile Communications Group Co. Ltd Beijing China China Mobile Group Design Institute Co. Ltd Beijing China

ISBN: (纸本)9781510668867

With the first successful establishment of 3GPP R18, the 5G advanced has enforced the speed of 5G network construction, and the 6G technology enabling 5G evolution has gradually become the major research focus area. Reconfigurable Intelligent Surface (RIS), as an important technology that can improve network coverage and reconstruct imperfect signal propagation environment, which considered as one of the key technologies for 5G advanced and 6G networks construction. This paper introduces the research progress of reconfigurable intelligent surface technology, analyzes the potential application scenarios and challenges, and proposes a possible landing plan for the 5G application of reconfigurable intelligent surface technology. © 2023 SPIE.

关键词： 5G mobile communication systems

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A Single High Gain and Narrow-Beam Folded Dipole Antenna for Millimeter-Wave applications 11

A Single High Gain and Narrow-Beam Folded Dipole Antenna for...

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11th IEEE-APS Topical conference on Antennas and Propagation in Wireless Communications (IEEE APWC) / 23rd International conference on Electromagnetics in advanced applications (ICEAA)

作者： Matsunaga, Mayumi Shizuoka Univ Hamamatsu Shizuoka Japan

ISBN: (数字)9781665481137

ISBN: (纸本)9781665481137

Millimeter wave applications are expanding, such as the 5th generation mobile communication system (5G), imaging technologies and RF sensors. Since wavelengths of millimeter waves are shorter than those of microwaves, it is necessary to increase radiation gains of antennas in order to secure the same communication distance as microwaves. For increasing antennas’ radiation gains, making beams narrow is effective. And the narrow beam width is necessary for high resolution imaging technologies.

关键词： Microwave antennas Wireless communication Radio frequency Dipole antennas Millimeter wave technology Microwave communication sensor systems and applications

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Computer Vision for Ocean Eddy Detection in Infrared Imagery 23

Computer Vision for Ocean Eddy Detection in Infrared Imagery

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23rd IEEE/CVF Winter conference on applications of Computer Vision (WACV)

作者： Moschos, Evangelos Kugusheva, Alisa Coste, Paul Stegner, Alexandre Ecole Polytech X Novat Ctr AMPHITRITE Palaiseau France Ecole Polytech CNRS LMD Ave Coriolis Palaiseau France IMT Atlantique Ave Technopole Plouzane France

ISBN: (纸本)9781665493468

Reliable and precise detection of ocean eddies can significantly improve the monitoring of the ocean surface and subsurface dynamics, besides the characterization of local hydrographical and biological properties, or the concentration pelagic species. Today, most of the eddy detection algorithms operate on satellite altimetry gridded observations, which provide daily maps of sea surface height and surface geostrophic velocity. However, the reliability and the spatial resolution of altimetry products is limited by the strong spatio-temporal averaging of the mapping procedure. Yet, the availability of high-resolution satellite imagery makes real-time object detection possible at a much finer scale, via advanced computer vision methods. We propose a novel eddy detection method via a transfer learning schema, using the ground truth of high-resolution ocean numerical models to link the characteristic streamlines of eddies with their signature (gradients, swirls, and filaments) on Sea Surface Temperature (SST). A trained, multi-task convolutional neural network is then employed to segment infrared satellite imagery of SST in order to retrieve the accurate position, size, and form of each detected eddy. The EddyScan-SST is an operational oceanographic module that provides, in real-time, key information on the ocean dynamics to maritime stakeholders.

关键词： Sea surface Computer vision Satellites Neural networks Real-time systems Numerical models Reliability

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Damage detection in 3D-printed plate using the electromechanical impedance method with surface bonded and embedded sensors 18

Damage detection in 3D-printed plate using the electromechan...

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conference on Health Monitoring of Structural and Biological systems xVIII

作者： Singh, Shishir Kumar Andrearczyk, Artur Malinowski, Pawel H. Polish Acad Sci Inst Fluid Flow Machinery PL-80231 Gdansk Poland

ISBN: (数字)9781510672093

ISBN: (纸本)9781510672093;9781510672086

Additive manufacturing ( AM) or 3D printing has become a popular manufacturing technique that helps to save materials during production. Modern industries have started incorporating printed structural parts into their structures, including those with critical applications, like in aerospace and civil. Similarly for structures made from metals or fibre reinforced polymers there is a need for structural health monitoring of the 3D-printed structural parts. This requires the development of accurate and reliable methods for evaluating and monitoring the structural integrity of such components. The electromechanical impedance (EMI) method is frequently used to evaluate the health condition of lightweight structures based on the local structural response in the high-frequency range. This study investigates the usage of EMI that is based both on surface bonded and embedded sensors. As sensors, the piezoelectric discs were used for the measurements. The measurements were made in the 1 kHz to 100 kHz frequency range for the resistance (R) data. During the study, the simulated damage was introduced and the sensors' responses were compared to determine the influence of embedding on the damage detection performance.

关键词： Electromechanical Impedance 3D printing damage detection sensor embedding

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Fiber-optic airflow sensor for air quantity estimation in air conduit 11

Fiber-optic airflow sensor for air quantity estimation in ai...

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conference on advanced sensor systems and applications xI

作者： Zhang, Peng Wang, Shuang Jiang, Junfeng Li, Zhiyuan Yang, Haokun Liu, Tiegen Tianjin Univ Sch Precis Instrument & Optoelect Engn Tianjin Peoples R China Minist Educ Key Lab Optoelect Informat Technol Tianjin Peoples R China Tianjin Univ Tianjin Opt Fiber Sensing Engn Ctr Inst Opt Fiber Sensing Tianjin Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

A metal diaphragm-based airflow sensor based on fiber-optic Fabry-Perot (F-P) interference has been proposed and experimentally demonstrated. The sensor is composed of glass sleeving, ceramic ferrule and metal diaphragm. Through data calibration, a practical airflow sensor has been fabricated. As a result of the stainless steel diaphragm and open F-P cavity, the durability of the sensor is ensured, and it can be used in poor air quality environments. Experimental results in the airflow field show that the sensor has the potential to estimate the air quantity of high-speed airflow in various air conduit.

关键词： Airflow Fabry-Perot interference Fiber-optic sensing

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Overview of Digital Twins in Mining Equipment 2

Overview of Digital Twins in Mining Equipment

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2nd International conference on Intelligent Equipment and Special Robots, ICIESR 2023

作者： Tian, Ying Yu, Jiamin Gu, Jieying College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9781643685144

Digital twin technology is a real-time simulation skill based on computer models and real physical systems. Digital twin for extractive equipment combines physical equipment with virtual models to achieve comprehensive monitoring, prediction and optimization of extractive equipment and its operational status through data integration, simulation and analysis. The key elements of extractive equipment digital twin include sensor and data acquisition, physical model building, model calibration and validation, data analysis and decision support. By collecting the sensor data of the equipment, Efficacy of virtual environments in developing collaboration strategies between industrial robots and humans including parameters such as temperature, vibration, pressure, etc., and then the corresponding digital twin models can be established. These models can be calibrated and verified based on actual data to ensure their accuracy and reliability. applications of digital twins for extractive equipment include operational status monitoring and prediction, optimization of operation and maintenance strategies, training and knowledge management. Digital twins can also record equipment operation data and fault information to form a knowledge base for subsequent fault diagnosis and decision-making. The application of digital twin technology for mining equipment can improve the efficiency and reliability of mining equipment, reduce operating costs, and help improve the technical level and training of employees. © 2024 The Authors.

关键词： Real time systems

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Multi-Agent Collaboration Environment Simulation

Multi-Agent Collaboration Environment Simulation

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Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and applications 2023

作者： Haley, Joshua Tucker, Jonathan Nesper, Jonathan Daniel, Brian Fish, Trisha Elbit Systems of America: Advanced Capabilities Center 12600 Challenger Pkwy STE 155 OrlandoFL United States

ISBN: (纸本)9781510661721

Machine Learning (ML) and Artificial intelligence (AI) have increased automation potential within defense applications such as border protection, compound security, and surveillance applications. Advances in low-size weight and power (SWAP) computing platforms and unmanned aerial systems (UAS) have enabled autonomous systems to meet the critical needs of future defense systems. Recent academic advances in deep learning aided computer vision yielding impressive results on object detection and recognition, necessary capabilities to enable autonomy in defense applications. These advances, often open-sourced, enable the opportunistic integration of state-of-the-art (SOTA) algorithms. However, these systems require a large amount of object-relevant data to transfer from general academic domains to more relevant situations. Additionally, UAS systems require costly verification and validation of autonomy logic. These challenges can lead to high costs for both training data generation and costly field autonomy integration and testing activities. To address these challenges, in conjunction with partners, Elbit America has developed a multipurpose synthetic simulation environment capable of generating synthetic training data and prototyping, verifying, and validating autonomous distributed behaviors. We integrated a thermal modeling capability into Unreal Engine to create realistic training data by enabling the real-time simulation of SWIR, MWIR, and LWIR sensors. This radiometrically correct sensor model capability enables the simulation-based training data generation for our object recognition and classification pipeline, called Rapid Algorithm Development and Deployment (RADD). Several drones were instantiated using emulated flight controllers to enable end-to-end autonomy training and development before hardware availability. Herein, we describe an overview of the simulation environment and its relevance to detection, classification, and distributed autonomous decision-ma

关键词： Object recognition

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advanced Mathematical Modeling and Control Strategies for Autonomous Drone systems 25

Advanced Mathematical Modeling and Control Strategies for Au...

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25th International Carpathian Control conference (ICCC)

作者： Rus, Cosmin Lupulescu, Eduard Leba, Monica Risteiu, Marius Univ Petrosani Dept Automat Comp Elect & Power Engn Petrosani Romania Univ Petrosani Doctoral Sch Petrosani Romania

ISBN: (纸本)9798350350708;9798350350715

This paper explores the mathematical modelling and simulation of drones, focusing on both low-level and high-level control aspects. The low-level control involves altitude maintenance and stabilization, alongside disturbance compensation, essential for ensuring stable flight. At the high-level control, the research addresses compensating for air currents, drift correction, obstacle avoidance, localization, mapping, navigation to predefined points, returning to the take-off position (return to home), and person tracking. Additionally, it highlights the inherent limitations in drone usage, including restricted weight capacity, limited processing power, a constrained number of sensors, short battery life, rapid dynamics requiring electronic stabilization, continuous motion of the drone, and safety concerns. The study emphasizes the intricate interplay between mathematical models and control strategies to manage these control objectives and constraints. It delves into the development of mathematical models representing drone dynamics and sensor data fusion techniques. Simulation environments are utilized to validate and optimize control algorithms, replicating real-world scenarios to ensure reliable and robust drone performance. The paper aims to address these challenges by proposing mathematical modelling techniques and control strategies. By integrating sophisticated algorithms with limited hardware resources, it seeks to improve the efficiency and autonomy of drones while overcoming constraints. Ultimately, the research endeavours to contribute to the advancement of drone technology, enabling enhanced capabilities for various applications while ensuring safety and reliability.

关键词： mathematical modelling low-level control high-level control limited hardware resources real-world scenarios

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advanced Sensing and sensor Fusion for Intelligent Transportation systems

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IEEE sensorS JOURNAL 2021年第14期21卷 15425-15426页

作者： Jolfaei, Alireza Menon, Varun G. Lv, Chen Bashir, Ali Kashif Tan, Yen Kheng Kant, Krishna Macquarie Univ Dept Comp Sydney NSW 2113 Australia SCMS Sch Engn & Technol Ernakulam 683576 India Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore 639798 Singapore Manchester Metropolitan Univ Dept Comp & Math Manchester M15 6BH England ASTAR Innovat Factory Singapore Inst Mfg Technol Singapore 637662 Singapore Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA

The seamless integration of sensor technologies with the transportation infrastructure has leveraged the sensing and communication capabilities to achieve a sustainable intelligent transportation system through which safety, traffic control, and infotainment applications can benefit from multiple sensors deployed in different elements of the transportation system. Being one of the most active research fields in both academia and industry, sensor technologies enable various types of vehicular applications, such as autonomous driving, precise fleet management, intelligent traffic and congestion management, etc. A combination of low cost and reliable passive road sensors as well as traffic sensors (e.g., piezoelectric or magnetic micro-electro-mechanical system (MEMS) sensors) along with the IoT and fog computing provide an enormous potential for improving traffic efficiency, driving safety, and ride comfort.

关键词： Special issues and sections sensor systems Intelligent transportation systems Autonomous driving Autonomous vehicles

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