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GPU parallelization and Optimization of a Combustion Simulation Application 24

GPU Parallelization and Optimization of a Combustion Simulat...

引用

24th IEEE international conference on High Performance Computing and Communications, 8th IEEE international conference on Data Science and Systems, 20th IEEE international conference on Smart City and 8th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Liao, Zhixiang Liu, Yongzhou Che, Yonggang Institute for Quantum Information College of Computer National University of Defense Technology State Key Laboratory of High Performance Computing Changsha China

ISBN: (纸本)9798350319934

Graphics processing units (GPUs) are widely used in the area of scientific computing. While GPUs provide much higher peak performance, efficient implementation of real applications on the GPU architectures is still a non-trivial task. It is crucial to realize efficient solution algorithms that can better utilize GPU architectures. this paper presents our efforts in parallelizing and optimizing LESAP, a CFD application for scramjet combustion simulation, on NVIDIA GPUs. the GPU parallelization is realized based on the CUDA programming model, with a data-parallel implicit time-marching method that is efficient on the GPU architecture. Furthermore, shared memory and redundant calculation are proposed to reduce memory access overhead during GPU computation, and data transfer between CPU and GPU is optimized by packing the data to be transferred. the experimental results show that the GPU version, when runs on four V100 GPUs, achieves a speedup of 11.26 times compared to the CPU version that runs on two 24-core Intel Skylake Gold 6240R CPUs. Excellent parallel scalability across multiple GPUs is also observed. © 2022 IEEE.

关键词： Graphics processing unit

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Multi-Supervised LSTM for Bengali Text Sentiment Analysis 23

Multi-Supervised LSTM for Bengali Text Sentiment Analysis

引用

8th international conference on Machine Learning Technologies (ICMLT)

作者： Ali, Syed Muaz Turja, Afif Ibna Kadir Khan Tahseen, Sabiha Mehedi, Md Humaion Kabir Hossain, Md. Sabbir Rasel, Annajiat Alim BRAC Univ Dhaka Bangladesh

ISBN: (纸本)9781450398329

Bangla text sentiment analysis is one of the challenges of recent years. Various machine learning and deep learning approaches have been made to further improve the classification models' performance to achieve state-of-the art results. Since text sentiment analysis is a sequential task, Long Short-term memory have provided great results in these cases. In this paper, we propose a methodology to tweak an existing LSTM model to gain further improvement in results. As Bengali Text Sentiment analysis is a sequence-to-one task, we discuss how using the features of the entire sequence generated from LSTM along with the last hidden state's output can improve the results. We compare with a single LSTM layer where the last hidden state is used for producing the final result with our methodology where also a single LSTM layer is used but with additional feature engineering and multi-supervision is applied on the generated sequence and final hidden state to produce the results. Our final results show that adding these tweaks to an existing LSTM layer can increase the overall performance of the model.

关键词： Bengali Text Sentiment Multi-supervised LSTM Natural Language processing Sentiment Analysis

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A Straight parallel Grasping and Self-Adaptive Gripper with Differential and Watt Linkages 8

A Straight Parallel Grasping and Self-Adaptive Gripper with ...

引用

8th IEEE international conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Liang, Bo Tian, Yuan Zhang, Wenzeng College of Information and Electrical Engineering China Agricultural University Beijing100091 China Open FIESTA Tsinghua Shenzhen International Graduate School Shenzhen514231 China X-Institute Shenzhen518122 China

ISBN: (纸本)9798350300178

the existing parallel grasping and self-adaptive gripper cannot realize the straight-line trajectory movement at the end finger segment, resulting in a grasping blind zone. To solve this problem, this article proposes a novel self-adaptive and parallel grasping finger, the Watt finger. the finger adopts the Watt linkage to achieve the straight-line movement of the end finger segment, combines the parallel linkages to maintain the fixed attitude of the end finger segment in the initial stage, using a triangular differential mechanism to realize self-adaptive grasping. the Watt finger has a straight parallel grasping function in the initial stage, which is able to grasp things of different sizes on the table. As the first or second finger segment touching the object is blocked, this device automatically enters the self-adaptive grasping state, which can grasp things of different sizes. In this paper, Watt finger is analysed kinematically, and the finger's stable grasping space and a relatively optimized set of parameters are obtained. A new robot hand with two Watt fingers was developed, and experimental results and the theoretical analysis show that the Watt Hand achieves a good straight parallel grasping and self- adaptive effect, and the straight-line trajectory makes the hand have a larger grasping space and a wider range of adaptation. © 2023 IEEE.

关键词： Grippers

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Ensemble Approaches for Quartz and Silica Gel Identification using EDX spectra 10

Ensemble Approaches for Quartz and Silica Gel Identification...

引用

10th international conference on Digital Arts, Media and Technology and 8th ECTI Northern Section conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2025

作者： Anektanarojkul, Sitaporn Laitrakun, Seksan Chayopitak, Nattapon Isshiki, Tsuyoshi Usanavasin, Sasiporn Thammasat University Sirindhorn International Institute of Technology Thailand National Science and Technology Development Agency National Electronics and Computer Technology Center Thailand Institute of Science Tokyo Japan

ISBN: (纸本)9798331543273

During a manufacturing process, hard disk drive (HDD) might be contaminated by some materials such as Quartz and Silica Gel. these contaminations induce a major failure in the HDD. Identifying them is a necessary approach to track back to the sources and prevent this issue to happen again in the future. In this work, we are interested in identifying Quartz and Silica Gel by analyzing their spectra obtained from using an Energy Dispersive X-ray Spectroscopy (EDX) instrument. A challenge is that these two materials are from the same functional group (Silicon Dioxide) and have quite similar EDX spectra which cause a classifying problem to experts. In this work, we proposed a parallel ensemble learning approach based on EDX spectra to improve the classification between Quartz and Silica Gel. Four ensemble methods were studied and compared: Hard Voting, Soft Voting, Weighted Hard Voting, and Weighted Soft Voting. We applied and chose the base models of the ensemble methods from 12 well-known machine learning (ML) models. Experimental results show that the Soft Voting and Weighted Soft Voting techniques achieved a maximum accuracy of 82.5% and significantly outperformed individual ML models in classifying Quartz and Silica Gel. © 2025 IEEE.

关键词： Silica gel

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Research on the Application of Image processing Technology in Vehicle License Plate Recognition 8

Research on the Application of Image Processing Technology i...

引用

8th international conference on Intelligent Computing and Signal processing, ICSP 2023

作者： Qiu, Caihua Ding, Feng Guangdong University of Science and Technology 99 Xihu Road Nancheng District Guangdong Dongguan523083 China Guangzhou Xinhua University 248 Yanjianxi Road Machong Town Guangdong Dongguan523133 China

ISBN: (纸本)9798350302455

With the development of artificial intelligence, image recognition technology has been applied to various aspects of life, such as license plate recognition. License plate recognition has many application scenarios in real life, but due to various interferences in daily life, the accuracy of license plate recognition is often affected. In order to improve the accuracy and efficiency of license plate recognition, we need to integrate image processing technology into license plate image recognition pre-processing technology, and use Gaussian filter, grayscale, binarization to complete license plate image pre-processing, so as to reduce the interference of objective conditions on license plate recognition efficiency. through experiments, we know that using image recognition technology can reduce the computational power consumption of license plate recognition systems, improve image recognition efficiency and accuracy. © 2023 IEEE.

关键词： Image recognition

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A Survey on Early-Stage Dementia Detection Using Natural Language processing: Datasets and Approaches 24

A Survey on Early-Stage Dementia Detection Using Natural Lan...

引用

8th international conference on Information System and Data Mining

作者： Abrar, Asir Ashar, Aetesam Ali Khan Liu, Jiangjiang Lamar Univ Dept Comp Sci Beaumont TX 77710 USA

ISBN: (纸本)9798400717345

According to the World Health Organization, Dementia, a chronic, degenerative condition that affects 55 million people worldwide, is prevalent in seniors. To date, there is no cure for dementia, so recent advancements in this area emphasize the urgent need for detecting early symptoms to facilitate timely intervention strategies. As dementia starts by damaging neurons in parts of the brain responsible for memory, language, and thinking, the analysis of language sample could potentially offer a promising avenue for detecting subtle cognitive shifts that could allow the possible interventions to slow down the disease's progression and improve the life of the individuals. We document this paper to explore the potential of leveraging speech and text data for detecting early-stage dementia by leveraging semantic, syntactic, and acoustic features. this paper surveys natural language processing (NLP) techniques applied to speech, text, audio, and handwritten data in monolingual and multilingual settings, focusing on their potential to aid in the early detection and understanding of dementia. According to our study, most datasets available in this domain are in English, with the support vector machine being the most frequently used classification method. Interest is also growing in using large language models to identify the signs of cognitive decline based on language patterns.

关键词： Dementia Alzheimer's Disease NLP Dementia Datasets Text Health Cognitive Decline GPT

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Research on processing method of Ultra Wide Band radar echo signal 8

Research on processing method of Ultra Wide Band radar echo ...

引用

8th international conference on Intelligent Computing and Signal processing, ICSP 2023

作者： Yang, Zhen Yang, Meile Han, Lei Liaoning Technical University School of Electrical and Control Engineering Huludao China

ISBN: (纸本)9798350302455

Ultra Wide Band radar life detection technology has been widely used in life detection in various scenes because of its high life detection accuracy, but it is difficult to extract vital signs in the process of echo signal processing because of scene ***, a research on the processing method of UWB radar echo signal is *** mean band-pass filter is used to remove and enhance the background noise of vital signs in UWB echo signal, and the vital signs signal is located by combining energy moment calculation. In order to improve the accuracy of vital sign signal extraction, and according to the linear characteristics of vital sign signals, an adaptive EWT algorithm is proposed by combining Pearson correlation coefficient with high computational efficiency and EWT algorithm with strict mathematical basis and no modal aliasing and endpoint effect problem, then the located vital sign signals are further filtered and extracted by this ***, the effectiveness of the proposed method is verified by experiments. © 2023 IEEE.

关键词： Bandpass filters

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8th international conference on Material Engineering and Nanotechnology, ICMEN 2024

8th International Conference on Material Engineering and Nan...

引用

8th international conference on Material Engineering and Nanotechnology, ICMEN 2024

ISBN: (纸本)9789819636235

the proceedings contain 30 papers. the special focus in this conference is on Material Engineering and Nanotechnology. the topics include: On the Effect of Magnesium on the Mechanical Properties of Aluminium Alloy 9031 (i.e. Modified Aluminium Alloy 3003);Analyzing the Breakdown of the Stokes-Einstein Law in AgI–AgPO3 and M–PO3 (M = Mg, Ca, Sr, Ba) Melts;influence of Particle Shape on Heat Transfer from Plasmonic Gold Nanoparticles to a Matrix;development of an Image processing Method to Determine the Air Void Parameters of Concrete;targeting Colorectal Cancer Using Krantz Aloe (Aloe arborescens) Extract Green Synthesised Chromium Doped Fe3O4 Nanoparticles;Evaluation of Physico-mechanical Properties of LDPE-Based Bubble Wrap and Coconut Coir as Concrete Pavement Tile Reinforcement;formation Mechanism of CaZrO3/ZrO2 Eutectic Solidified Film Using High Power Laser;using parallel Plate Electrode Engineering Techniques for Nondestructive Testing of Timber;effect of Ruthenium on Phase Stability and Superelasticity of Lean TiNb Alloys: Ab-Initio and Experimental Insights;towards Resilient and Sustainable Water and Energy Sectors in Jordan;First Principles Investigation of Binary FCC Pt-Ru and Pt-Ir Alloys;ultrasound-Assisted Extraction of Starch from Taro (Colocasia Esculenta) Peel in Varying Sorbitol Concentration with Pineapple (Ananas Comosus) Leaf Fibers and Rice (Oryza Sativa) Husks as Additives for the Production of Enhanced Bioplastic;waste Vegetable Oil as a Sustainable Additive for Enhancing Asphalt Binder Properties: A Review;utilization of Tilapia Fish Scale (Oreochromis niloticus) for the Production of Collagen-Sodium Silicate Composite Aerogel for Moderate Temperature Insulation;using Radio Wave Sensor for Assessment of Sustainable Road Pavement Incorporated Olive Waste Ash.

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A Post-processing Computational Fluid Dynamics System for Turbomachinery 8

A Post-processing Computational Fluid Dynamics System for Tu...

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2023 8th international Seminar on Computer Technology, Mechanical and Electrical Engineering, ISCME 2023

作者： Chen, Jiawei Pan, Zihao Butala, Mark David ZJUI Institute Zhejiang University Haining China

Computational fluid dynamics applied to the turbomachinery domain require specialized post-processing functionality. For computational fluid dynamics turbomachinery, we have developed a lightweight post-processing software. We have developed a system utilizing the Visualization Toolkit (VTK) for rendering and the Qt toolkit as the cross-platform graphical user interface platform. the system is lightweight, which implements the fundamental post-processing functions such as iso-surface and cut plane visualization and determines the meridional plane and the constant blade/van height plane. We designed and evaluated two different methods to determine the meridional plane and the constant blade/van height plane and used VTK filters in VTK to obtain necessary scene information. Finally, we visualized these planes by using the VTK visualization pipeline. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Computational fluid dynamics

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GBCloud: a Robust Cloud Model for processing Multi-dimensional Data Using Granular-ball Computing 23

GBCloud: a Robust Cloud Model for Processing Multi-dimension...

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8th international conference on mathematics and Artificial Intelligence, ICMAI 2023

作者： Shi, Yuting Xia, Shuyin Chen, Zizhong College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China The department of Computer Science and Engineering University of California Riverside United States

ISBN: (纸本)9781450399982

Cloud model is an important analysis tool in knowledge engineering. However, it is mainly applied in one or two dimensional data and small-scale data because of complex fitting for its parameters, so it is not suitable to be applied in analysis in multidimensional data, which limits its application ability. In this paper, we proposed the granular-ball cloud model using granular-ball to composing the data space and generating a cloud model in each granular-ball. As the distribution in each granular-ball becomes simple, the cloud model can effectively fit the data distribution, resulting a considerable improvement of performance of cloud model in processing multi-dimensional data, especially enhancing its robustness. As an example, we use the granular-ball cloud model as an oversampling method for addressing imbalanced problems. the experimental results on some benchmark data sets demonstrate its effectiveness in comparison with many popular or the state-of-the-art *** implementation of the proposed GBCloud in programming language Python is available at https://***/syxiaa/GBCloud. © 2023 Copyright held by the owner/author(s)

关键词： Cloud computing

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