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AUV Path Planning Based on Improved Sparrow Search Algorithm

AUV Path Planning Based on Improved Sparrow Search Algorithm

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international conference on Communication technology (ICCT)

作者： Siyuan Wang Qian Sun Beixi Ning Xingyu Zhou Key Laboratory of Advanced Marine Communication and Information Technology College of Information and Communication Harbin Engineering University Harbin China

An improved sparrow search algorithm (ISSA) is used to study the three-dimensional path-planning problem of automatic underwater vehicle (AUV). Use mathematical models to build the environment and construct an energy consumption model based on the AUV and environmental conditions. Firstly, based on the upper confidence bound algorithm (UCB), the iterative population size is improved to utilize search resources at different times fully; Secondly, considering the undirected search of the discoverer, an adaptive greedy algorithm is adopted to enhance convergence accuracy; Finally, improve the evolutionary strategy of discoverers and threatened sparrows to reduce the algorithm falling into local optima. The simulation results show that ISSA has better global optimization capability, making it more suitable for AUV 3d path planning.

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Photon-Counting Integral Imaging Using Bayesian Estimation with depth Camera Information

Photon-Counting Integral Imaging Using Bayesian Estimation w...

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international conference on Control, Automation and Systems ( ICCAS)

作者： Hideaki Uchino Hyun-Woo Kim Myungjin Cho Min-Chul Lee Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Fukuoka Japan School of ICT Robotics and Mechanical Engineering IITC Hankyong National University Anseong Kyonggi-do Republic of Korea

In this paper, we propose a method for visualizing object information under low light conditions using photon-counting integral imaging and depth images as prior information. To visualize 3d objects under low-light conditions, computational photon-counting imaging may be used. It is possible to estimate photons using statistical methods such as the Poisson distribution. Therefore, photon-counting integral imaging can visualize 3d images under low-light conditions by maximum likelihood estimation (MLE). However, MLE does not consider prior information so it may not be an accurate estimation. In addition, it is difficult to obtain accurate depth information as the distance increases due to rounding errors caused by computational reconstruction. Therefore, we propose Bayesian estimation such as a maximum a posteriori estimation method that uses as a priori information images from a depth camera, which can be acquired even in low-light conditions, to improve the quality of 3d images. To evaluate image quality of the proposed method, optical experiments were conducted by calculating image quality metrics. This technology can be utilized for night vision applications, such as object recognition in security camera systems and autonomous driving, using RGB cameras and depth cameras.

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Enhancement Three-dimensional Localization of ArUco Marker Under Photon-Starved Conditions

Enhancement Three-Dimensional Localization of ArUco Marker U...

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international conference on Control, Automation and Systems ( ICCAS)

作者： Jin-Ung Ha Hyun-Woo Kim Myungjin Cho Min-Chul Lee Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Fukuoka Japan School of ICT Robotics and Mechanical Engineering IITC Hankyong National University Anseong Kyonggi-do Republic of Korea

In this paper, we propose a method to improve the recognition rate of ArUco markers under photon-starved conditions by using preprocessing such as photon counting algorithm and histogram equalization to estimate the exact three-dimensional(3d) location of improved objects. In the conventional ArUco marker recognition technology, the recognition rate of ArUco markers decreases under photon-starved conditions, and the exact 3d location of the object cannot be estimated. In the conventional ArUco marker recognition technology, the photon counting algorithm can be used to estimate the 3d location of objects by recognizing ArUco markers under photon-starved conditions. However, the photon counting algorithm has the problem that the computation speed is slowed down when there are many photons to estimate, and the recognition rate of the ArUco marker is reduced when there are few photons to estimate. To solve these problems of the photon counting algorithm and improve the recognition rate of ArUco markers, we apply histogram equalization to ArUco markers with the photon counting algorithm. To verify the feasibility of the proposed method, we implement simulations using the Open Manipulator-X platform and show performance metrics such as Peak Signal-to-Noise Ratio (PSNR).

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drone-Based AI and 3d Reconstruction for digital Twin Augmentation 13th

Drone-Based AI and 3D Reconstruction for Digital Twin Augmen...

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13th international conference on Social Computing and Social Media (SCSM) part of the 23rd international conference on Human-Computer Interaction (HCI)

作者： To, Alex Liu, Maican Hairul, Muhammad Hazeeq Bin Muhammad davis, Joseph G. Lee, Jeannie S. A. Hesse, Henrik Nguyen, Hoang d. Univ Sydney Sch Comp Sci Sydney NSW Australia Aviat Virtual Pte Ltd Singapore Singapore Singapore Inst Technol Infocomm Technol Singapore Singapore Univ Glasgow James Watt Sch Engn Singapore Singapore Univ Glasgow Sch Comp Sci Singapore Singapore

ISBN: (纸本)9783030776251;9783030776268

digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal of combining the physical space and the virtual space. To date, the digital Twin concept has been applied in many engineering fields, providing useful insights in the areas of engineering design, manufacturing, automation, and construction industry. While the nexus of various technologies opens up new opportunities with digital Twin, the technology requires a framework to integrate the different technologies, such as the Building Information Model used in the Building and Construction industry. In this work, an Information Fusion framework is proposed to seamlessly fuse heterogeneous components in a digital Twin framework from the variety of technologies involved. This study aims to augment digital Twin in buildings with the use of AI and 3d reconstruction empowered by unmanned aviation vehicles. We proposed a drone-based digital Twin augmentation framework with reusable and customisable components. A proof of concept is also developed, and extensive evaluation is conducted for 3d reconstruction and applications of AI for defect detection.

关键词： digital Twin 3d reconstruction Artificial Intelligence (AI) Information augmentation Unmanned aerial vehicle (UAV)

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TARGET-ORIENTEd PREFORM PROdUCTION OF GEOMETRICALLY COMPLEX COMPONENTS CONSIdERING MEASUREd ANd SIMULATEd dRAPE BEHAVIOUR 23

TARGET-ORIENTED PREFORM PRODUCTION OF GEOMETRICALLY COMPLEX ...

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23rd international conference on Composite Materials, ICCM 2023

作者： Mändle, A. Förster, G. Miene, A. Schiebel, P. Woestmann, M. Faserinstitut Bremen e.V. Gebäude IW 3 Am Biologischen Garten 2 Bremen28359 Germany

Tailored fibre placement (TFP) technology can produce load-adapted carbon fibre fabrics and at the same time reduce textile offcut scrap significantly, thanks to its close to net shape design. This aligns with industry's goal to cutting down on material waste in production and thus decreases CO2 emissions. In this paper biaxial plies produced by TFP are used for draping on a multi-curved C-shaped preform tool. drape behaviour is experimentally investigated by a picture frame test for shearing, a tool-textile friction test as well as a cantilever test for bending rigidity. A finite elements drape simulation is performed to macroscopically display fibre orientations after draping. A method based on 3d measurements by laser triangulation is applied to analyse actual fibre orientation. Lastly, simulated and measured fibre orientations are compared to determine deviations between experimentation and simulation. The results show to which extent the measured fibre orientations are in accordance with the simulated orientations. deviations from the simulated model are highlighted and explained by waving happening during the draping in the simulated preform. Moreover, the deviations increase towards the edge of the surface what can be explained by slight differences between the real draping process and the simulated draping. Finally further measurements for improvement are suggested. © 2023 international Committee on Composite Materials. All rights reserved.

关键词： Carbon fibers

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Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor 23rd

Improving the Performance of Lattice Boltzmann Method with...

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23rd international conference on Parallel and distributed Computing, Applications, and Technologies, PdCAT 2022

作者： Zhang, Qingyang Xu, Lei Chen, Rongliang Chen, Lin Chen, Xinhai Wang, Qinglin Liu, Jie Yang, Bo Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410000 China Laboratory of Software Engineering for Complex Systems National University of Defense Technology Changsha410000 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

ISBN: (纸本)9783031299261

Lattice Boltzmann method (LBM) has become a powerful method in computational fluid dynamics and has drawn more and more attention in high-performance computing due to its particulate nature and local dynamics, especially on recent multi-core or many-core platforms. This paper develops a parallel software framework for 3d LBM simulation on a heterogeneous multi-zone processor, MT-3000. An improved pipelined algorithm named Pencil-H is proposed, which can not only fully exploit the advantages of each component of MT-3000 but also overlap the time of calculation and communication. Moreover, an architecture-aware multi-level parallelization algorithm is developed to fully utilize the computational performance of MT-3000. A benchmark test is performed to verify the reliability and test the performance of the LBM code. Experimental results show that the optimized code achieves a 32.02 × speedup compared with using 16 CPU cores and achieves a performance of 286.03MLUPS which reaches 72.3% of the theoretical peak performance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computational fluid dynamics

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dIELECTRIC PROPERTIES OF BIOCHAR POLYMER COMPOSITES 23

DIELECTRIC PROPERTIES OF BIOCHAR POLYMER COMPOSITES

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23rd international Symposium on High Voltage Engineering, ISH 2023

作者： Gudi, Srinivas Lakshmi Narayana Pischler, Oliver Schichler, Uwe Martini, Stefan Kienzl, Norbert Grinschgl, Markus Brunetin, Andrea Scopece, Paolo Widmann, Gabriel Brunner, Martin Institute of High Voltage Engineering and System Performance Graz University of Technology Graz Austria BEST – Bioenergy and Sustainable Technologies GmbH Graz Austria GIPRO GmbH Austria Nadir – Plasma and Polymers Venice Italy Syncraft Engineering GmbH Schwaz Austria Antemo GmbH Anlagen & Teilefertigung Austria

ISBN: (纸本)9781839539954

Electrically conductive polymer composites have applications in many areas of high voltage technology as insulators and as field grading elements in cable joints and terminations. Carbon Black is the predominant choice used as a filler material to alter the properties of the polymer composite due to its good conductive properties. Biochar is proposed as an environmentally friendly alternative to carbon black as a filler in conductive polymer composites. Biochar displays good conductive properties with high stability and excellent cation exchange capacity. In this contribution, the dielectric properties of conductive polymer composites incorporating biochar as a filler are examined. Measurements of conductivity, permittivity, and dissipation factor are used to characterise the behaviour of conductive polymer composites. Frequency domain Spectroscopy in a frequency range of 10 mHz – 1 kHz is used to measure permittivity and dissipation factor. Conductivity measurements are carried out with a petaohmmeter. Measurements revealed an increase in the conductive behaviour of the polymer composite with a rising biochar filler content. The increasing conductive behaviour shows potential for conductive polymer composites in field grading applications. Custom made insulators produced by 3d printing to manifest tailor-made dielectric properties by varying biochar filler content can be investigated for field grading applications. © The Institution of Engineering & technology 2023.

关键词： Permittivity

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Anomaly detection of Motion Capture data Based on the Autoencoder Approach 23rd

Anomaly Detection of Motion Capture Data Based on the Aut...

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23rd international conference on Computational Science, ICCS 2023

作者： Hasiec, Piotr Świtoński, Adam Josiński, Henryk Wojciechowski, Konrad Department of Computer Graphics Vision and Digital Systems Silesian University of Technology ul. Akademicka 16 Gliwice44-100 Poland Polish-Japanese Academy of Information Technology Aleja Legionów 2 Bytom41-902 Poland

ISBN: (纸本)9783031360206

Anomalies of gait sequences are detected on the basis of an autoencoder strategy in which input data are reconstructed from their embeddings. The denoising dense low-dimensional and sparse high-dimensional autoencoders are applied for segments of time series representing 3d rotations of the skeletal body parts. The outliers - misreconstructed time segments - are determined and classified as abnormal gait fragments. In the validation stage, motion capture data registered in the virtual reality of the Human dynamics and Multimodal Interaction Laboratory of the Polish-Japanese Academy of Information technology equipped with Motek CAREN Extended hardware and software are used. The scenarios with audio and visual stimuli are prepared to enforce anomalies during a walk. The acquired data are labeled by a human, which results in the visible and invisible anomalies extracted. The neural network representing the autoencoder is trained using anomaly-free data and validated by the complete ones. AP (Average Precision) and ROC-AUC (Receiver Operating Characteristic – Area Under Curve) measures are calculated to assess detection performance. The influences of the number of neurons of the hidden layer, the length of the analyzed time segments and the variance of injected Gaussian noise are investigated. The obtained results, with AP = 0.46 and ROC-AUC = 0.71, are promising. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anomaly detection

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Analysis of Accurate Focal Points and Automatic Method of digital Holographic Microscopy (dHM) for Obtaining an Accurate 3d Profile

Analysis of Accurate Focal Points and Automatic Method of Di...

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international conference on Control, Automation and Systems ( ICCAS)

作者： Taishi Ono Hyun-Woo Kim Myungjin Cho Min-Chul Lee Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Fukuoka Japan School of ICT Robotics and Mechanical Engineering IITC Hankyong National University Anseong Kyonggi-do Republic of Korea

Currently, digital Holographic Microscopy(dHM) is used for researching disease diagnosis or microbes. It cannot obtain the correct three-dimensional (3d) profile for a little noise because biological cells are microscopic. Then we need images of the focal point of dHM for reducing noise. However, in dHM, the depth of field becomes smaller influenced by the objective lens. In addition, focusing to obtain hologram images of biological cells in conventional dHM systems is entirely manual, because the decision of the focal point is made by the photographer's senses, which makes it even more difficult to focus on the object. These factors make it difficult for the conventional dHM system to acquire images of the focal points. Therefore, in this paper, we propose the analysis of accurate focusing points using a noise map. This eliminates the illusion or misperception that is a drawback of the manual. We improved an accurate 3d profile. 3d profiles were created at the focal point by the proposed method and at the positions before and after the focal points, and evaluated for SNR. From this, the proposed method can be used to analyze biological cells and microstructures.

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Characteristics Fluctuation of Sub-3-nm Bulk FinFET devices Induced by Random Interface Traps

Characteristics Fluctuation of Sub-3-nm Bulk FinFET Devices ...

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IEEE conference on Nanotechnology

作者： Sekhar Reddy Kola Min-Hui Chuang Yiming Li Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Electronics and Electrical Engineering Institute of Communications Engineering Institute of Biomedical Engineering Institute of Pioneer Semiconductor Innovation Institute of Artificial Intelligence Innovation National Yang Ming Chiao Tung University Hsinchu Taiwan

Three-dimensional (3d) bulk fin-typed field effect transistors (FinFETs) have emerged as key devices that can scale down the technology node beyond 22-nm. However, the scaled devices have created new sources of fluctuation inherent in 3d geometry. The interface trap is one such fluctuation that is caused by the trapping and de-trapping of charge carriers and has an adverse effect on device characteristics and variability. In this work, we study impacts of random interface traps (RITs) on electrical characteristic of bulk FinFETs by using a 3d quantum-mechanically corrected device simulation. RIT position effects on short channel effects (SCEs) are examined with physical governed influence to show the major fluctuations. More than 50% reductions of the RITs-induced characteristic fluctuation of the germanium (Ge) devices are observed, compared with Si devices. The Ge ones can reduce SCE variations and exhibit high immunity to RITs.

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