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Low-Brightness Object Recognition Based on Deep Learning

Computers, Materials & Continua 2024年第5期79卷 1757-1773页

作者： Shu-yin chiang Ting-Yu Lin Department of Information and Telecommunications Engineering Ming Chuan UniversityTaoyuan City333Taiwan

This research focuses on addressing the challenges associated with image detection in low-light environments,particularly by applying artificial intelligence techniques to machine vision and object recognition *** primary goal is to tackle issues related to recognizing objects with low brightness *** this study,the Intel RealSense Lidar Camera L515 is used to simultaneously capture color information and 16-bit depth information *** detection scenarios are categorized into normal brightness and low brightness *** the system determines a normal brightness environment,normal brightness images are recognized using deep learning *** low-brightness situations,three methods are proposed for *** first method is the SegmentationwithDepth image(SD)methodwhich involves segmenting the depth image,creating amask from the segmented depth image,mapping the obtained mask onto the true color(RGB)image to obtain a backgroundreduced RGB image,and recognizing the segmented *** second method is theHDVmethod(hue,depth,value)which combines RGB images converted to HSV images(hue,saturation,value)with depth images D to form HDV images for *** third method is the HSD(hue,saturation,depth)method which similarly combines RGB images converted to HSV images with depth images D to form HSD images for *** experimental results,in normal brightness environments,the average recognition rate obtained using image recognition methods is 91%.For low-brightness environments,using the SD method with original images for training and segmented images for recognition achieves an average recognition rate of over 82%.TheHDVmethod achieves an average recognition rate of over 70%,while the HSD method achieves an average recognition rate of over 84%.The HSD method allows for a quick and convenient low-light object recognition *** research outcome can be applied to nighttime surveillance systems or nighttime road safety systems

关键词： Low-brightness depth image image segmentation image recognition HDV HSD

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Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

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Computers, Materials & Continua 2024年第6期79卷 3783-3803页

作者： Yi-Chun Lai Shu-yin chiang Yao-chiang Kan Hsueh-Chun Lin Department of Public Health China Medical UniversityTaichung406040Taiwan Department of Information and Telecommunications Engineering Ming Chuan UniversityGui-ShanTaoyuan333Taiwan Department of Electrical Engineering Yuan Ze UniversityChung-Li32003Taiwan Department and Institute of Health Service Administrations China Medical UniversityTaichung406040Taiwan

Artificial intelligence(AI)technology has become integral in the realm of medicine and healthcare,particularly in human activity recognition(HAR)applications such as fitness and rehabilitation *** study introduces a robust coupling analysis framework that integrates four AI-enabled models,combining both machine learning(ML)and deep learning(DL)approaches to evaluate their effectiveness in *** analytical dataset comprises 561 features sourced from the UCI-HAR database,forming the foundation for training the ***,the MHEALTH database is employed to replicate the modeling process for comparative purposes,while inclusion of the WISDM database,renowned for its challenging features,supports the framework’s resilience and *** ML-based models employ the methodologies including adaptive neuro-fuzzy inference system(ANFIS),support vector machine(SVM),and random forest(RF),for data *** contrast,a DL-based model utilizes one-dimensional convolution neural network(1dCNN)to automate feature ***,the recursive feature elimination(RFE)algorithm,which drives an ML-based estimator to eliminate low-participation features,helps identify the optimal features for enhancing model *** best accuracies of the ANFIS,SVM,RF,and 1dCNN models with meticulous featuring process achieve around 90%,96%,91%,and 93%,*** analysis using the MHEALTH dataset showcases the 1dCNN model’s remarkable perfect accuracy(100%),while the RF,SVM,and ANFIS models equipped with selected features achieve accuracies of 99.8%,99.7%,and 96.5%,***,when applied to the WISDM dataset,the DL-based and ML-based models attain accuracies of 91.4%and 87.3%,respectively,aligning with prior research *** conclusion,the proposed framework yields HAR models with commendable performance metrics,exhibiting its suitability for integration into the healthcare services system through AI-driven applications.

关键词： Human activity recognition artificial intelligence support vector machine random forest adaptive neuro-fuzzy inference system convolution neural network recursive feature elimination

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Low-Rank Optimal Transport for Robust Domain Adaptation

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1667-1680页

作者： Bingrong Xu Jianhua yin Cheng Lian Yixin su Zhigang Zeng IEEE the School of Automation Wuhan University of TechnologyWuhan 430070China Intelligent Transportation Systems Research Center Wuhan University of TechnologyWuhan 430063 Chongqing Research Institute Wuhan University of TechnologyChongqingChina the School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074 the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074China

When encountering the distribution shift between the source(training) and target(test) domains, domain adaptation attempts to adjust the classifiers to be capable of dealing with different domains. Previous domain adaptation research has achieved a lot of success both in theory and practice under the assumption that all the examples in the source domain are welllabeled and of high quality. However, the methods consistently lose robustness in noisy settings where data from the source domain have corrupted labels or features which is common in reality. Therefore, robust domain adaptation has been introduced to deal with such problems. In this paper, we attempt to solve two interrelated problems with robust domain adaptation:distribution shift across domains and sample noises of the source domain. To disentangle these challenges, an optimal transport approach with low-rank constraints is applied to guide the domain adaptation model training process to avoid noisy information influence. For the domain shift problem, the optimal transport mechanism can learn the joint data representations between the source and target domains using a measurement of discrepancy and preserve the discriminative information. The rank constraint on the transport matrix can help recover the corrupted subspace structures and eliminate the noise to some extent when dealing with corrupted source data. The solution to this relaxed and regularized optimal transport framework is a convex optimization problem that can be solved using the Augmented Lagrange Multiplier method, whose convergence can be mathematically proved. The effectiveness of the proposed method is evaluated through extensive experiments on both synthetic and real-world datasets.

关键词： Domain adaptation low-rank constraint noise corruption optimal transport

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Numerical Simulation of Droplet Generation in Coaxial Microchannels

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Fluid Dynamics & Materials Processing 2024年第3期20卷 487-504页

作者： Zongjun yin Rong su Hui Xu School of Mechanical Engineering Anhui Institute of Information TechnologyWuhu241100China

In this study,numerical simulations of the pinching-off phenomena displayed by the dispersed phase in a continuous phase have been conducted using COMSOL Multiphysics(level-set method).Four flow patterns,namely“drop flow”,“jet flow”,“squeeze flow”,and“co-flow”,have been obtained for different flow velocity ratios,channel diameter ratios,density ratios,viscosity ratios,and surface *** flow pattern map of two-phase flow in coaxial microchannels has been obtained accordingly,and the associated droplet generation process has been critically discussed considering the related frequency,diameter,and pinch-off *** particular,it is shown that the larger the flow velocity ratio,the smaller the diameter of generated droplets and the shorter the pinch-off *** pinch-off length of a droplet is influenced by the channel diameter ratio and density *** changes in viscosity ratio have a negligible influence on the droplet generation pinching *** an increase in surface tension,the frequency of generation and pinch-off length of droplets decrease,but for small surface tension the generation diameter of droplet increases.

关键词： Droplet generation characteristics coaxial microchannels flow patterns pinch-off length

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End-to-End Paired Ambisonic-Binaural Audio Rendering

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 502-513页

作者： yin Zhu Qiuqiang Kong Junjie Shi Shilei Liu Xuzhou Ye Ju-chiang Wang Hongming Shan Junping Zhang Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200433China Beijing ByteDance Technology Co.Ltd. Shanghai 201102China. Chinese University of Hong Kong Hong KongChina IEEE Institute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science Fudan UniversityShanghai 200433 Shanghai Center for Brain Science and Brain-Inspired Technology Shanghai 200031China

Binaural rendering is of great interest to virtual reality and immersive media. Although humans can naturally use their two ears to perceive the spatial information contained in sounds, it is a challenging task for machines to achieve binaural rendering since the description of a sound field often requires multiple channels and even the metadata of the sound sources. In addition, the perceived sound varies from person to person even in the same sound field. Previous methods generally rely on individual-dependent head-related transferred function(HRTF)datasets and optimization algorithms that act on HRTFs. In practical applications, there are two major drawbacks to existing methods. The first is a high personalization cost, as traditional methods achieve personalized needs by measuring HRTFs. The second is insufficient accuracy because the optimization goal of traditional methods is to retain another part of information that is more important in perception at the cost of discarding a part of the information. Therefore, it is desirable to develop novel techniques to achieve personalization and accuracy at a low cost. To this end, we focus on the binaural rendering of ambisonic and propose 1) channel-shared encoder and channel-compared attention integrated into neural networks and 2) a loss function quantifying interaural level differences to deal with spatial information. To verify the proposed method, we collect and release the first paired ambisonic-binaural dataset and introduce three metrics to evaluate the content information and spatial information accuracy of the end-to-end methods. Extensive experimental results on the collected dataset demonstrate the superior performance of the proposed method and the shortcomings of previous methods.

关键词： Ambisonic attention binaural rendering neural network

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Strengthening mechanism and forming control of linear friction welded GH4169 alloy joints

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Chinese Journal of Aeronautics 2024年第4期37卷 609-626页

作者： Yu su Xiawei YANG Tingxi MENG Xinyuan HE Dong WU Wenya LI Shuo yin State Key Laboratory of Solidification Processing School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Shaanxi Key Laboratory of Friction Welding Technologies School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Department of Mechanical Manufacturing and Biomedical EngineeringParsons BuildingTrinity College DublinThe University of DublinDublin 2Ireland

Numerical simulation and experimental research on Linear Friction Welding(LFW) for GH4169 superalloy were carried out. Based on the joint microstructure and mechanical properties,a suitable welding process was determined, which provided an important theoretical basis for the manufacture and repair of aeroengine components such as the superalloy blisk. The results show that the joint strain rate gradually increases with the increase of welding frequency, and the deformation resistance of the thermoplastic metal increases in the welding process, resulting in the interface thermoplastic metal not being extruded in time to form a flash, so the joint shortening amount gradually decreases. The thermoplastic metal in the center of the welding surface is kept at high welding temperature for a long time, resulting in the decrease of the joint strength. The microhardness of the joint shows a “W” distribution perpendicular to the weld, and most of the joints break in the Thermo-Mechanically Affected Zone(TMAZ) with high tensile strength and low *** the welding area is increased without changing the aspect ratio of the welding surface, the interface peak temperature increases gradually, and the joint shortening amount decreases with the increase of the welding interface size.

关键词： Linear Friction Welding(LFW) Microstructure Mechanical properties Numerical simulation Joint shortening amount

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Constructing high-capacity and flexible aqueous zinc-ion batteries with air-recharging capability using organic cathodes

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Chinese Chemical Letters 2024年第3期35卷 468-472页

作者： Xiaojuan Chen Haoqi su Baozhu Yang Xiaocen Liu Xiuting Song Lixin su Gui yin Qi Liu Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology Advanced Catalysis Green Manufacturing Collaborative Innovation Center and School of Petrochemical EngineeringChangzhou UniversityChangzhou 213164China State Key Laboratory of Coordination Chemistry Nanjing UniversityNanjing 210093China

Flexible aqueous zinc-ion batteries(AZIBs)with air-recharging capability are a promising self-powered system applied in future wearable *** is desired to develop high-capacity air-rechargeable ***,we developed a flexible AZIB with air-recharging capability based on trinitrohexaazatrinaphthylene(TNHATN)cathode and a ZnSO_(4)*** flexible Zn//TNHATN battery exhibits high volumetric energy density(21.36 mWh/cm^3)and excellent mechanical ***,the discharged flexible Zn//TNHATN battery can be chemical self-charged via the redox reaction between TNHATN cathode and O_(2)from the *** oxidation in air for 15 h,such flexible Zn//TNHATN battery can deliver a high specific capacity of 320 mAh/g at 0.5 A/g,displaying excellent air-recharging ***,this flexible Zn//TNHATN battery also works well in chemical or/and galvanostatic charging mixed modes,showing *** work provides a new insight for designing flexible aqueous self-powered systems.

关键词： Aqueous zinc-ion battery Trinitrohexaazatrinaphthylene Organic cathode materials Flexible air-rechargeable battery Self-powered system

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Cortex Moutan Inhibits Bladder Cancer Cell Proliferation and Expression of Angiogenic Factors

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Pharmacology & Pharmacy 2014年第8期5卷 846-858页

作者： Mei-Yi Lin Cheng-Huang Shen su-yin chiang Syue-Yi Chen Yu-Shih Lin Cheng-Da Hsu Department of Chinese Medicine Pharmacy Chiayi Chang Gung Memorial Hospital Chia-Yi Taiwan Department of Medical Research Ditmanson Medical Foundation Chia-Yi Christian Hospital Chia-Yi Taiwan Department of Medical Research Ditmanson Medical Foundation Chia-Yi Christian Hospital Chia-Yi Taiwan Department of Urology Ditmanson Medical Foundation Chia-Yi Christian Hospital Chia-Yi Taiwan Graduate Institute of Chinese Medicine College of Chinese Medicine China Medical University Taichung Taiwan Graduate Institute of Chinese Medicine College of Chinese Medicine China Medical University Taichung Taiwan Department of Chinese Medicine Ditmanson Medical Foundation Chia-Yi Christian Hospital Chia-Yi Taiwan

Metastases are the main cause of death among patients with bladder cancer, which is the second most common malignancy of the genitourinary tract and is highly prevalent in the southwestern region of Taiwan. Angiogenesis plays a critical role in tumor growth and metastasis processes and has relevance in disease recurrence, pelvic lymph node metastasis and poor prognosis. Cancer cells can produce several angiogenesis-stimulating factors involved in vascular growth, including vascular endothelial growth factor (VEGF), basic fibroblast growth factor (bFGF), and inflammatory cytokines such as interleukin (IL)-8. Common chemotherapeutic drugs for intravesical instillations usually cause major side effects, including urinary frequency, urinary urgency, cystitis, and hematuria. In order to identify a less cytotoxic therapeutic agent that can inhibit tumor cell proliferation, we examined the traditional Chinese herbal medicine Cortex Moutan—reported to have antibacterial, antiviral, anti-inflammatory, antithrombotic, and antitumor properties—for its effects on bladder cancer cell proliferation and expression of angiogenic factors. Our results revealed that Cortex Moutan exhibited high selectivity in inhibiting the growth of bladder cancer cells and also reduced the expression of angiogenesis-stimulating factors in those cells. Thus, we suggest that Cortex Moutan might be used as a cancer therapy drug for bladder’s intravesical chemotherapy in the future.

关键词： Cortex Moutan BFTC 905 Cells TSGH 8301 Cells Growth Inhibition VEGF bFGF IL-8

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The hydrophobic cluster on the surface of protein is the key structural basis for the SDS-resistance of chondroitinase VhChlABC

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Marine Life Science & Technology 2024年第1期6卷 93-101页

作者： Juanjuan su Hao Wu Chengying yin Fengchao Zhang Feng Han Wengong Yu School of Medicine and Pharmacy Ocean University of ChinaQingdao 266003China Laboratory for Marine Drugs and Bioproducts Qingdao Marine Science and Technology CenterQingdao 266237China Key Laboratory of Marine Drugs Ministry of EducationQingdao 266003China Shandong Provincial Key Laboratory of Glycoscience and Glycoengineering Qingdao 266003China

The application of chondroitinase requires consideration of the complex microenvironment of the *** previous research reported a marine-derived sodium dodecyl sulfate(SDS)-resistant chondroitinase *** study further investigated the mechanism of VhChlABC resistance to *** on the hydrophobic cluster on its strong hydrophilic surface,it was found that the reduction of hydrophobicity of surface residues Ala181,Met182,Met183,Ala184,Val185,and Ile305 significantly reduced the SDS resistance and *** dynamics(MD)simulation and molecular docking analysis showed that I305G had more conformational flexibility around residue 305 than wild type(WT),which was more conducive to SDS insertion and *** affinity of A181G,M182A,M183A,V185A and I305G to SDS was significantly higher than that of *** conclusion,the surface hydrophobic microenvironment composed of six residues was the structural basis for SDS *** feature could prevent the binding of SDS and the destruction of hydrophobic packaging by increasing the rigid conformation of protein and reducing the binding force of *** study provides a new idea for the rational design of SDS-resistant proteins and may further promote chondroitinase research in the targeted therapy of lung diseases under the pressure of pulmonary surfactant.

关键词： Hydrophobic cluster Protein surface SDS-resistance Chondroitinase

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A Novel Recovery Strategy to suppress subsequent Commutation Failure in an LCC-Based HVDC

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Protection and Control of Modern Power Systems 2024年第1期9卷 38-51页

作者： Changsheng su Chunya yin Fengting Li Lu Han 不详 School of Electrical Engineering Xinjiang UniversityUrumqi 830017China

A subsequent commutation failure(SCF)can easily occur during the recovery process after a first commutation failure(1st CF).This paper analyzes the interaction mechanism of extinction angle,AC voltage,DC current and firing angle,and reveals that the complex coupling relationship during the dynamic process after the 1st CF has a significant effect on the *** mathematical equations when considering different fault durations,fault severities and AC system strengths are then *** AC fault voltage detection method based on reactive power and fault duration is also proposed to measure the fault severity,and an SCF inhibition control strategy(SCFICS)based on AC fault detection and reactive power control is subsequently *** can not only inhibit the SCF,but also enhance the DC recovery speed ***,based on the SCFICS,a simulation model is built,and the simulation results with different cases indicate that the SCFICS can effectively inhibit the SCF with good recovery performance,for three-phase-to-ground(TPG)and single-phase-to-ground faults,and with a fault inductance range of 0.01 H to 1 H.

关键词： fault extinction angle

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