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2nd International Symposium on Computer Applications and Information Systems, ISCAIS 2023

作者： Du, Ketao Ma, Chen Hamdulla, Askar School of Information Science and Engineering Xinjiang University Urumqi830046 China Xinjiang Key Laboratory of Signal Detection and Processing Xinjiang Urumqi China

ISBN: (纸本)9781510666665

Different from image-based pedestrian re-identification, video-based pedestrian re-identification has more available information because of more temporal information. However, previous methods are unable to extract detailed features adequately. Although the previous methods adopted the row slicing method to extract the detailed features of the image, the slicing method was too simple and the detailed features extracted were too few. We propose a slice position shifting module (SPM), which adopts a variety of ways to slice the image, to extract the feature of each image patches separately. The feature interaction is carried out by making each patches of the image generate position-shifting. How to make time clues in pedestrian re-identification data set useful is also the research focus in this field. We propose a multi-scale inter-frame proportional fusion module (MIPM) to make the features of frame t fully fuse with the front and back frames, so as to extract more the temporal clues in the data set. We will form the above two modules into Slice position-shifting and Multi-scale inter-frame proportional fusion network(SMnet) .Full experiments on the MARS dataset show that our algorithm is very useful and can reach the leading level. © 2023 SPIE.

关键词： Image processing

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Small target detection algorithm for flapping wing UAV based on improved YOLOv8 2

Small target detection algorithm for flapping wing UAV based...

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2nd International Symposium on Computer Applications and Information Systems, ISCAIS 2023

作者： Ma, Chen Du, Ketao Hamdulla, Askar School of Information Science and Engineering Xinjiang University Urumqi830046 China Xinjiang Key Laboratory of Signal Detection and Processing Xinjiang Urumqi China

ISBN: (纸本)9781510666665

This paper proposes an algorithm based on an improved version of YOLOv8l, which is designed for small target detection on flapping wing drones. By adding a small object detection layer and introducing Multi-head self-attention (MHSA), the algorithm effectively reduces interference from irrelevant backgrounds and enhances the network’s feature extraction performance. Experimental results on both the flapping wing dataset and the VisDrone dataset demonstrate that compared with the baseline YOLOv8l algorithm, the improved algorithm shows a 4.1% and 3.3% improvement in the mAP@.5 and mAP@.5:.95 indicators, respectively, and a 5.9% and 4% improvement on the VisDrone dataset. Particularly noteworthy is the improved algorithm’s performance on the mAP@.5 index, which achieved 50.1% on the VisDrone dataset, proving its robustness and exceptional performance in small target detection. These results illustrate the algorithm’s effectiveness and practicality, making it a valuable tool for flapping wing UAV vision applications. © 2023 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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Characteristics of flow and liquid distribution in a gas-liquid vortex separator with multi spiral arms

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Particuology 2022年第9期20卷 101-113页

作者： Xiuying Yao Peng Zuo Chunxi Lu Chenglin E Mengxi Liu State Key Laboratory of Heavy Oil Processing China University of PetroleumBeijing 102249China Research Institute of Experimental and Detection Xinjiang Oilfield CompanyPetroChinaKaramayXinjiang 834000China

Fischer-Tropsch(F-T)synthesis is an important route to achieve the clean fuel *** perfor-mance of gas-liquid separation equipment involving in the progressive condensation and separation of light and heavy hydrocarbons in the oil-gas products has become a bottleneck restricting the smooth operation of the F-T *** order to remove the bottleneck,a gas-liquid vortex separator with simple structure,low pressure drop and big separation capacity was designed to achieve the efficient separation between gas and droplets for a long *** RSM(Reynolds Stress Model)and DPM(Discrete Phase Method)are employed to simulate the flow characteristics and liquid distribution in the *** results show that the separation efficiency is influenced by the flow field and liquid phase concentration in the annular *** transverse vortex at the top of spiral arm entrains the droplets with small diam-eter into the upper annular *** entrained droplets rotate upward at an angle of about 37.4°.The screw pitch between neighbor liquid threads is about 0.3 *** is a top liquid ring in the top of annular zone,where the higher is the liquid phase concentration,the lower is the separation *** is found that by changing the operating condition and the annular zone height the vortex can be strengthened but not enlarged by the inlet *** screw pitch is not affected by both inlet velocity and annular zone *** liquid phase concentration in the top liquid ring decreases with both the increases of inlet velocity and annular zone *** total pressure drop is almost not affected by the annular zone height but is obviously affected by the inlet *** the height of annular zone is more than 940 mm,the separation efficiency is not ***,the annular zone height of 940 mm is thought to be the most economical design.

关键词： Gas-liquid separator Vortex separation Structural optimization Separation performance Computational fluid dynamics

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A Rumor detection Method Incorporating Correlation Features 3

A Rumor Detection Method Incorporating Correlation Features

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3rd International Conference on Pattern Recognition and Machine Learning, PRML 2022

作者： Cai, Xiangsheng Tohti, Turdi Hamdulla, Askar Xinjiang University of China Xinjiang Key Laboratory of Signal Detection and Processing School of Information Science and Engineering Urumqi830017 China

ISBN: (数字)9781665499507

ISBN: (纸本)9781665499507

Most of the rumors on social media (e.g., Twitter) revolve around a certain domain or topic, which means that they want to express roughly the same meaning, only the way of expression or the words used are different. Most of the existing rumor detection work focuses on text semantic features, user information features, comment features, and communication structure features, but rarely utilizes the rumor features associated with the original text. Therefore, a GCN-BERT -based rumor detection method is proposed in this paper, which not only utilizes the rumor features of a message itself but also utilizes the rumor features of all the texts and words associated with it when performing rumor detection. Finally, three Twitter datasets are used for comparison experiments, and the results fully demonstrate that the method is more effective than existing rumor detection methods. © 2022 IEEE.

关键词： Semantics

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Weak Change detection of Wide field Foggy Video Image 24

Weak Change Detection of Wide field Foggy Video Image

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4th International Conference on Artificial Intelligence, Big Data and Algorithms, CAIBDA 2024

作者： Li, Wen Jia, Zhenhong Song, Sensen Huang, Xiaohui Wang, Jiajia Zhou, Gang Shi, Fei School of Computer Science and Technology Xinjiang University Urumqi Xinjiang China Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi Xinjiang China

ISBN: (纸本)9798400710247

Hawk-eye devices are often used in surveillance and security, and the video images collected by them have a wide field of view. Under foggy conditions, the video images captured by eagle-eye surveillance have low contrast and details are easily lost. In order to solve these problems, this paper proposes a change detection algorithm for foggy wide field video images based on the Discrete Wavelet Transform (DWT) image fusion and FCM clustering algorithm. Firstly, the improved neighborhood ratio operator and the most value mean pixel ratio operator are used to generate the disparity map, and then the DWT is used to fuse the disparity map, and after obtaining the fused disparity map, the soft threshold function and the FCM clustering algorithm are used to carry out the coarse classification and fine classification respectively, and obtain the final change detection result map. © 2024 Copyright held by the owner/author(s).

关键词： Discrete wavelet transforms

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Digital image biological detection technology based on the porous silicon periodic crystals film

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Optoelectronics Letters 2021年第9期17卷 552-557页

作者： YANG Jianfeng JIA Zhenhong LüXiaoyi HUANG Xiaohui WANG Jiajia School of Physical Science and Technology Xinjiang UniversityUrumqi 830046China School of Information Science and Engineering Xinjiang UniversityUrumqi 830046China Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous RegionXinjiang UniversityUrumqi 830046China

In order to solve this problem,a new biological detection method is proposed,which makes use of the characteristics of optical transmission at the edge of the spectral band gap and sensitive to refractive index *** the probe light with wavelength at the edge of the Bragg band gap of porous silicon is incident on the surface of porous silicon,the change of refractive index caused by deoxyribonucleic acid(DNA)reaction in porous silicon will affect the detection light intensity transmitted from the porous silicon *** analyzing the change of the average gray value of the transmitted light image,the concentration of the DNA can be obtained.

关键词： porous image refractive

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Simulation analysis of ground-penetrating radar in seasonal freezing soil area with temperature-varying media 20

Simulation analysis of ground-penetrating radar in seasonal ...

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20th International Conference on Ground Penetrating Radar, GPR, 2024

作者： Lu, Guojiang Chen, Qinghua Zhang, Xianwu Key Laboratory of Signal Detection and Processing College of Information Science and Engineering Xinjiang University Urumqi830000 China

Affected by the seasonal freezing area climate, the shallow engineering geological electromagnetic environment exhibits seasonal variations, affecting the propagation process of electromagnetic waves in shallow geological soil. This brings excellent difficulties in accurately identifying the detection target. In this paper, Kaba-he, the seasonal freezing area of xinjiang, is taken as an example to build a model of the dielectric constant of the temperature variable soil medium in different seasons, and utilizing the high-order O(2,4) FDTD algorithm implemented with MATLAB software. This experiment provides the propagation velocity of electromagnetic waves in shallow subgrade soil of Kaba-he during different seasons and, based on numerical simulation results, gives the calculated depth of the underground targets buried in other seasons. This research can provide theoretical guidance for the application of GPR in Kaba-he. © Published under licence by IOP Publishing Ltd.

关键词： MATLAB

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Joint Optimization of STAR-RIS Assisted SWIPT Communication Systems 2

Joint Optimization of STAR-RIS Assisted SWIPT Communication ...

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2nd International Conference on Informatics, Networking, and Computing, ICINC 2023

作者： Yang, Junlong Qin, Xizhong Jia, Zhenhong Yu, Jiani School of Computer Science and Technology XJU China Xinjiang Key Laboratory of Signal Detection and Processing Wulumuqi China

ISBN: (纸本)9781510674745

Simultaneous wireless information and power transfer (SWIPT) is an effective energy-saving technology, but its efficiency is hindered by environmental factors. The introduction of reconfigurable intelligent surfaces (RIS) has alleviated this issue, although it still faces significant constraints due to geographical limitations. This paper proposes a scheme that employs a simultaneously transmitting and reflecting (STAR)-RIS to assist SWIPT. It can overcome this limitation, achieve higher degrees of freedom (DoF), and provide better quality of service (QoS) for users on both sides of the ground. Meanwhile, we have considered a hybrid device based on a power splitting, which is capable of both energy harvesting and information decoding. We have proposed an efficient alternating optimization (AO) method to optimize the phase and amplitude vectors for reflection and transmission, beamforming and the optimal power splitting ratio, achieving an optimal balance between data rate and energy efficiency. Finally, simulation results demonstrate that the sum rate of the proposed model is superior to traditional RIS and other benchmark schemes. © 2024 SPIE.

关键词： Energy harvesting

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Towards tiny object tracking for low-illumination wide-field

Towards tiny object tracking for low-illumination wide-field

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2022 International Conference on Computer Application and Information Security, ICCAIS 2022

作者： Xie, Zhaodong Jia, Zhenhong Jiang, Wangxi College of Information Science and Engineering Xinjiang University Xinjiang Urumqi830046 China Key Laboratory of Signal Detection and Processing Xinjiang University Xinjiang Urumqi830046 China

ISBN: (纸本)9781510663459

Night is an inevitable scene for surveillance video. Due to the high image resolution, complex background, uneven illumination, and similarity between the target and the background of hawk-eye surveillance video, it is difficult for previous trackers to apply the tracking of a tiny object in such scenes. In this regard, this paper proposes to combine an online automatically and adaptively learning spatio-temporal regularized tracking algorithm with an efficient and effective low-light image enhancement algorithm to improve tracker performance. We constructed a new benchmark that includes 41 night surveillance sequences captured by Hawk-Eye cameras at night. Exhausted experiments have been conducted on this dataset, and the results show that by combining the two methods, the original algorithm can obtain better results in this dataset, and can meet the real-time object tracking, which contributes to the application of tiny object tracking in eagle-eye surveillance video at night. © 2023 SPIE.

关键词： Image resolution

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Research of Pitch Controllability Based on LPCNet 3

Research of Pitch Controllability Based on LPCNet

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3rd International Conference on Pattern Recognition and Machine Learning, PRML 2022

作者： Gao, Wenyu Hamdulla, Askar Yang, Xipeng Chen, Yunlin School of Information Science and Engineering Xinjiang University of China China Xinjiang Key Laboratory of Signal Detection and Processing Xinjiang Urumqi China Xinjiang Key Laboratory of Multilingual Information Processing China Mobvoi Ai Lab Suzhou China

ISBN: (数字)9781665499507

ISBN: (纸本)9781665499507

With the development of speech synthesis technology in most scenarios, modifying the pitch of audio has been widely used. Currently most pitch controllable methods are achieved by using a separate reference encoder neural network, but this approach requires training more complicated neural networks and does not generalize to unseen speakers without speaker adaptation. To address this problem, a method based on LPCNet vocoder for explicitly pitch control is proposed. Firstly, during the training phase, by optimizing the training features, the model can synthesize more natural and robust voices. Next, the fundamental frequency is adjusted by inputting a control curve in the inference stage, and then the acoustic features are inferred into waveform using the vocoder LPCNet. The experimental results show that the proposed method can control the pitch flexibly and the sound quality of the synthetic voice is improved. © 2022 IEEE.

关键词： Speech synthesis

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