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2024 International Conference on Image processing and Artificial Intelligence, ICIPAl 2024

作者： Li, Yue Ren, Dayong Jia, Zhenhong Song, Sengseng Wang, Jiajia Zhou, Gang Key Laboratory of SignalDetection and Processing Xinjiang Uygur Autonomous Region Xinjiang University Urumqi830046 China National Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China

ISBN: (纸本)9781510681514

In the domain of remote sensing, Change detection (CD) from bi-temporal images is crucial. Images from Hawk-Eye platforms provide an adjunct to traditional remote sensing data, but introduce significant challenges, especially under low-illumination and wide field-of-view conditions. These issues include complex noise and minute change regions, making the direct application of conventional CD techniques largely ineffective. To address this, we propose a dedicated plug-and-play module for CD on Hawk-Eye platforms. This innovative module integrates a Dark Channel Enhancement Module (DCE) to improve brightness with a Scale-decoupled Fine-slicing Module (SF) for detailed change region detection. Thorough evaluations on real images from Hawk-Eye platforms demonstrate the module's effectiveness in adapting existing CD methods. © 2024 SPIE.

关键词： Change detection

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BD-YOLO: Optimising Insect Imbalance Data detection Models

BD-YOLO: Optimising Insect Imbalance Data Detection Models

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IEEE International Conference on Systems, Man and Cybernetics

作者： Jian–Yi Wang Zhen–Hong Jia Gang Zhou Jia–Jia Wang School of Computer Science and Technology Xinjiang University Urumqi China Xinjiang Uygur Autonomous Region Signal Detection and Processing Key Laboratory Xinjiang University Urumqi China

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Vision-based insect detection is an important task in smart agriculture. Field-collected insect image datasets usually show severe imbalances in categories. Previous models have insufficient accuracy as well as low real-time performance for detecting unbalanced data of insects. To address the issues described above, an improved framework Balance Detect YOLO(BD-YOLO) based on YOLOv8 is proposed in this paper. We innovatively designed Focaler-CPIoU loss to increase the weight of a few classes of samples to achieve the optimisation of pest imbalance data detection. We introduced lightweight convolutional MBConv to improve the recognition accuracy while reducing the number of model parameters. In order to verify the effectiveness of the method in this paper, we established an insect dataset containing six types of insects, in which the most numerous thrips is 431.5 times more than the least numerous chrysopaperla. The experimental results show that compared with YOLOv8, the mAP50 reaches 61.7% with a 73.1% reduction in the number of model parameters, an improvement of 5.4%, and an improvement of 769 in FPS. A feasible approach to optimise the detection of unbalanced number of insects is provided in this paper along with the ability to be deployed on lightweight hardware devices.

关键词： YOLO Smart agriculture Accuracy Insects Data models Real-time systems Hardware Optimization Monitoring Cybernetics

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A Hybrid Recommendation Algorithm with Co-embedded Item Attributes and Ratings

A Hybrid Recommendation Algorithm with Co-embedded Item Attr...

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International Conference on Applied Machine Learning (ICAML)

作者： Gaowei Xin Jiwei Qin Jiong Zheng School of Information Science and Engineering Xinjiang University Urumqi China Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University Urumqi China

In today's recommendation algorithm field, attribute feature information of users or items is usually introduced as auxiliary information to alleviate the sparsity problem, which can achieve good recommendation results to some extent. To make better use of the auxiliary information for data compression and dimensionality reduction, autoencoder models are usually employed. However, existing autoencoder-based models require the same input and output dimensions, resulting in data information loss and poor autoencoder scalability, which ultimately leads to low recommendation line performance. To cope with this problem, we propose a hybrid collaborative recommendation algorithm with co-embedded item attributes and ratings (HCR-item). By one-hot encoding the discrete item attribute features and then fusing the rating features with the item attribute features as the input of the autoencoder, the autoencoder completes the data compression and reconstructs the rating interaction prediction matrix. The algorithm proposed in this paper integrates item attribute features and rating features together, flexibly uses different feature information, extends the feature space, and solves the problem of low recommendation performance caused by sparsity. The algorithm has been extensively experimented on several real datasets and compared with other algorithms, and the results show that HCR-item has better recommendation performance.

关键词： Dimensionality reduction Scalability Data compression Collaboration Predictive models Prediction algorithms Data models

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Qualitative Analysis of Vibrational Spectroscopic Based on Ensemble Convolutional Neural Networks

SSRN

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SSRN 2022年

作者： Sun, Penghui Wang, Jiajia Liu, Pei Dong, Zhilin School of Information Science and Engineering Xinjiang University Urumqi China The Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University China Post-Doctoral Workstation Xinjiang Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute Urumqi China

Vibrational spectroscopy qualitative analysis technology has shown excellent potential in pharmaceuticals, food science, and other fields. In this paper, we proposed an ensemble convolutional neural network more suitable for spectral data feature extraction. Firstly, this paper presents the Alexnet-BN model;the model fully utilizes the feature to enhance the feature representation ability by removing the pooling layer of the Alexnet;we utilize BN layers multiple times to improve the training speed of the model and reduce the number of filters per convolutional layer of the model to weaken the redundant information. Secondly, to further improve the recognition accuracy of spectral data, 5 deep convolutional neural networks (DCNNs) models were built by adjusting the parameters of AlexnetBN, and the DCNN-EL model was constructed utilizing these 5 DCNNs using an ensemble machine learning approach. Finally, four publicly available datasets (Tablet푁퐼푅, Meats퐹 푇 퐼푅, Fruits퐹 푇 퐼푅, and Tablet푅푎푚푎푛) were used to validate the accuracy and generalization of the model. The results show that the DCNN-EL model achieves 100%, 100%, 99.32%, and 91.67% accuracy on the four datasets, which verifies that the method has high analytical accuracy and generalization. Therefore, the ensemble convolutional neural network has crucial practical value in the qualitative detection of vibration spectra. © 2022, The Authors. All rights reserved.

关键词： Convolution

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Tablet Identification Using Ensemble Convolutional Neural Networks and Vibrational Spectroscopy

SSRN

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SSRN 2023年

作者： Sun, Penghui Wang, Jiajia Liu, Pei Dong, Zhilin School of Computer Science and Technology Xinjiang University Urumqi China The Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University China Post-doctoral workstation of Xinjiang Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute Urumqi China

Vibrational spectroscopy reflects molecular vibrational data, facilitating tablet identification. This paper introduces the DCNN-EL model, which integrates vibrational spectroscopy to accurately discern tablet categories. The DCNN-EL model is built upon the Alexnet framework, starting with the proposal of the Alexnet-BN model, enhancing model training speed and robustness by iteratively applying the BN layer in lieu of the pooling layer. Subsequently, by adjusting the parameters of Alexnet-BN, five deep convolutional neural network (DCNN) models are established and combined using an integrated machine learning approach to form the DCNN-EL model. Evaluating the DCNN-EL model with two public datasets (Tablets_Nir and Tablets_Raman) demonstrates its 100% and 91.67% accuracy, affirming its efficacy and generalizability in tablet identification. Consequently, the amalgamation of convolutional neural networks and vibrational spectroscopy bears significant practical relevance in the qualitative detection of tablets. © 2023, The Authors. All rights reserved.

关键词： Convolution

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Research on the mobility of polymer flooding system for xinjiang conglomerate reservoirs

Research on the mobility of polymer flooding system for Xinj...

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3rd International Conference on Energy and Environmental Protection, ICEEP 2014

作者： Wu, Yun Qiang Lou, Qing Xiang Nie, Xiao Bin Li, Yi Qiang Xiang, Jia Nan Miao, Jun Jie Research Institute of Experiment and Detection Xinjiang Oilfield Company Karamay 834000 China Key Laboratory of Conglomerate Reservoir of Xinjiang Uygur Autonomous Region Karamay 834000 China Enhanced Oil Recovery Institute China University of Petroleum Beijing 102249 China

ISBN: (纸本)9783038351368

The conglomerate reservoir is provided with strong heterogeneity and complex pore structure. To study the matching relationship between polymer flooding system and pore throat of the conglomerate reservoir and set up the flow matching relationship plate, this paper conducted natural core flow experiments at the true flow rate of the site formation based on constant pressure flooding method, considering the shear of the borehole and the formation. And several suitable polymers for different reservoirs permeability were given. The experimental results indicated that a positive correlation between the flow properties and the viscosity of the polymer solution, but a negative correlation between the mobility and the permeability of reservoir. Such as the natural core with the permeability = 30×10-3μm2 was suitable for the viscosity≤16.0 mPa.s of the polymer solution in the formation, the natural core with the permeability = 60×10-3μm2 was suitable for the viscosity≤35.2mPa.s of the polymer solution and the natural core with the permeability = 120×10-3μm2 was suitable for the viscosity ≤ 102.4mPa.s of the polymer solution. Using compatibility relationship, quickly and easily choose the right injection parameters of the polymer based on the reservoir permeability, providing a theoretical basis for program preparation and parameters adjustment of the polymer flooding. © (2014) Trans Tech Publications, Switzerland.

关键词： Reservoirs (water)

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Secure Optical Wireless Links with Dynamic Beam and Diversity Receiver 7

Secure Optical Wireless Links with Dynamic Beam and Diversit...

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7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021

作者： DIng, Jupeng Lin, Chih I Wang, Jintao Yang, Hui Wang, Lili School of Information Science and Engineering Xinjiang University Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region China China Mobile Research Institute Beijing China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Beijing China Ludong University School of Information and Electrical Engineering Yantai China

ISBN: (纸本)9781665405829

Optical wireless communication (OWC) has emerged as one promising candidate to mitigate the frequency spectrum crisis. Due to the broadcast nature of OWC channel, physical layer security (PLS) techniques have been considered and explored to improve the transmission confidentiality of OWC links. However, almost all current schemes focus on scenarios including multiple transmitters and fail to match the scenarios with limited transmitters, even single transmitter. For addressing this issue, in this work, the dynamic optical beam based PLS enhancement scheme is proposed. Unlike conventional Lambertian beam based technique paradigm, the above scheme tentatively utilize the commercially available non-Lambertian beam to configure the secure OWC links. Numerical results show that, compared with about 1.10 bps/Hz average secrecy capacity (SC) of the conventional configuration, up to 1.93 bps/Hz average SC gain could be provided by the proposed dynamic beam scheme. Moreover, this potential gain will be increased to about 2.39 bps/Hz when the diversity combing is available for the legitimate user receiver. © 2021 IEEE.

关键词： Dynamics

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Research on Coordinated Coverage of Non-Lambertian Optical Wireless Communications 7

Research on Coordinated Coverage of Non-Lambertian Optical W...

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7th International Conference on Computer and Communications, ICCC 2021

作者： Ding, Jupeng Chih-Lin, I. Wang, Jintao Yang, Hui Wang, Lili Xinjiang University Key Laboratory of Signal Detection and Processing In Xinjiang Uygur Autonomous Region School of Information Science and Engineering Ürümqi China China Mobile Research Institute Beijing China Tsinghua University Beijing National Research Center For Information Science and Technology Department of Electronic Engineering Beijing China Ludong University School of Information and Electrical Engineering Yantai China

ISBN: (纸本)9781665409506

To a large extent, the performance of wireless optical communication system is affected by the light source radiation characteristics. Previous works are limited to rotationally symmetric Lambertian beam configurations, which fail to support target location oriented coordinated coverage. Different from the existing research, this paper proposes a coordinated coverage enhancement scheme based on asymmetric non-Lambertian optical beam configuration. Without loss of generality, this paper presents numerical analysis of coordinated and non-coordinated coverage performance in typical medium-sized indoor application scenario. Compared with non-coordinated coverage, the numerical results illustrate that the proposed coordinated coverage scheme could introduce about 4.08 dB SNR gain without transmission power increase. Therefore, non-Lambertian beam cooperation should be viewed as one efficient wireless optical communication technology. © 2021 IEEE.

关键词： Light sources

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Dbswin: Transformer Based Dual Branch Network for Single Image Deraining

SSRN

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SSRN 2021年

作者： Tan, Fuxiang Qian, Yurong Kong, Yuting Zhang, Hao Zhou, Daxin Chen, Long Fan, Yinyin Xiao, Zhengqing College of Software Xinjiang University Urumqi830046 China Key Laboratory of Software Engineering Xinjiang University Urumqi830046 China Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region Urumqi830046 China

Rain streaks severely affect the perception of the content and structure of an image sohigh-performance deraining algorithms are needed in order to eliminate the effects ofvarious rain streaks for high-level computer vision tasks. Although much progress hasbeen made with existing deraining methods, the task of single image deraining remainschallenging. In this paper, we first point out that existing Transformers lack sufficientability to capture channel attention which restricted the ability of models in *** improve the performance of deraining model, we propose a dual branch derainingnetwork based on Transformer. One branch uses dense connections to connect Transformermodules which embed the attention of a composite channel. This branch captureschannel attention more finely to learn the representation of rain streaks *** other branch first obtains features at different scales by gradually expanding thereceptive field, then uses these features to obtain attention for regional features, and finallyuses the attention to guide the model to focus on areas of high rain streaks densityand large scales. By fusing these two branches, the model is able to capture channel attentionmore finely and to focus on regions of high rain streaks density and large *** extensive experimental results on synthetic and real datasets demonstrate that theproposed method outperforms most advanced deraining methods. © 2021, The Authors. All rights reserved.

关键词： Rain

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Characterization and Implications of the regionally Prevalent ST8333 Strains of Salmonella enterica Serotype 4,,12:i:-China,2017-2023

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China CDC weekly 2024年第47期6卷 1232-1235页

作者： Qingpo Cui Xiaorong Yang Tingting Yang Xin Wang Xin Ma Yuxia Liu Hua Ge Xin Qiao Mengjiao Fu Yunchang Guo Zhangqi Shen Weiwei Li Technology Innovation Center for Food Safety Surveillance and Detection(Hainan) Sanya Institute of China Agricultural UniversitySanya CityHainan ProvinceChina Sichuan Provincial Center for Disease Control and Prevention Chengdu CitySichuan ProvinceChina Department of Gastroenterology The Eighth Medical CenterPLA General HospitalBeijingChina Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region Urumqi CityXinjiang Uygur Autonomous RegionChina Xinjiang Production and Construction Corps Center for Disease Prevention and Control Urumqi CityXinjiang Uygur Autonomous RegionChina Qinghai Center for Disease Prevention and Control Xining CityQinghai ProvinceChina Jiangsu Provincial Center for Disease Control and Prevention Nanjing CityJiangsu ProvinceChina National Health Commission Key Laboratory of Food Safety Risk Assessment Chinese Academy of Medical Science Research Unit(No.2019RU014)China National Center for Food Safety Risk AssessmentBeijingChina

What is already known about this topic?Salmonella enterica is a significant foodborne pathogen responsible for millions of infections and thousands of deaths worldwide each *** increasing prevalence of the ST34 Salmonella enterica serotype 4,5,12:i:-(S.4,[5],12:i:-)poses a substantial public health threat in *** is added by this report?At the end of 2023,the TraNet early-warning module,utilizing whole-genome sequencing data,identified a newly regionally prevalent sequence type of S.4,[5],12:i:-,designated ST8333,primarily found in Sichuan *** revealed high rates of antimicrobial resistance genes,particularly to aminoglycosides andβ-*** comparisons suggest that ST8333 isolates acquired multidrugresistance plasmids of swine origin during their distribution in Sichuan *** are the implications for public health practice?The emergence of ST8333,likely associated with pork consumption,underscores the importance of food safety *** high prevalence of multidrug resistance poses challenges for treatment and highlights the need for vigilant surveillance and control *** efforts in regions like Sichuan,identified as a reservoir for multidrug-resistant ST8333 strains,is crucial to prevent further transmission and potential nationwide *** and control measures are imperative to curb the spread of multidrug-resistant ST8333 isolates,particularly in high-prevalence regions.

关键词： likely reservoir nationwide

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