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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Zhou, Zhen Ci, Yunsong Yang, Shiyu Zhang, Siqi Zhang, Haoze Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Harbin150080 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Escherichia coli (E. coli) is a common source of contamination in dairy products and other beverages. In this paper, Ultraviolet-visible (UV-Vis) spectroscopy is applied to measurement of E. coli biomass concentration in milk due to its fast and non-contact advantages. Standard Normal Variable (SNV) combined with Multivariate Scattering Correction method (MSC) was used to processes the obtained Ultraviolet-visible spectrum to improve the feature intensity and reduce noise. Two-dimensional correlation analysis is used to capture the absorption characteristics of E. coli after red shift. The characteristic band of E. coli extracted from the two-dimensional correlation analysis was used as the initial data, combined with the Extreme Learning Machine network to establish a prediction model, and compared with the result of the plate counting method. It proves that the method in this paper is reasonable and effective. The results show that the accurate prediction model is coefficient of determination (R2) = 0.92741, mean squared error (mse) = 0.051274. Compared with the traditional method, the time in the analysis process is greatly shortened, from 10 min to 1 min, which means that the new method is more in line with the requirements of online measurement of dairy companies. © 2022 SPIE

关键词： Escherichia coli

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Capsule Endoscopy Image Deblurring Method Based on Multi-scale Recurrent Network 3

Capsule Endoscopy Image Deblurring Method Based on Multi-sca...

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2023 3rd International Conference on Computer, Remote Sensing and Aerospace, CRSA 2023

作者： Yang, Shiyu Guo, Tai Zhan, Ruoya Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Information Science and Engineering Guilin University and Technology Guangxi Guilin541004 China

During the process of acquiring capsule endoscope images, image motion blur may result from errors made by the operating physician. A multi-scale recurrent attention network is proposed to address the issue of motion blur in collected images. Considering the issue of over-exposure during image acquisition in capsule endoscopy, which can adversely affect network generation results, an image preprocessing module has been incorporated into the network to eliminate highlights caused by over-exposure in input images. To enhance network sampling efficiency, the encoder is equipped with a Convolutional Block Attention Module (CBAM) to extract fuzzy features more effectively. Additionally, depthwise separable convolution is employed to reduce parameter count. Since the structure of images obtained through capsule endoscopy is relatively simple and stable, we have opted for the mean square error as our loss function due to its heightened sensitivity to data errors. The experimental results demonstrate that the proposed network achieves a Peak Signal-to-Noise Ratio (PSNR) of 31.096 and a Structural Similarity Index Measure (SSIM) of 0.925, indicating a significant improvement over DeblurGAN-v2 and Pix2pix. © Published under licence by IOP Publishing Ltd.

关键词： Mean square error

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A retinopathy detection method based on improved YOLO 4

A retinopathy detection method based on improved YOLO

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4th International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2024

作者： Guo, Tai Yang, Shiyu Zhan, Ruoya School of Information Science and Engineering Guilin University and Technology Guilin541004 China Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations Harbin University of Science and Technology Harbin150080 China Zhongshan Institute of Changchun University of Science and Technology Zhongshan528400 China

ISBN: (数字)9781510682818

ISBN: (纸本)9781510682801

To improve the efficiency of diagnosing retinal diseases, deep learning-based object detection methods are employed for auxiliary diagnosis. Given the excellent performance of the You Only Look Once (YOLO) series models in the field of object detection, this paper proposes an improved YOLO model based on the YOLOv8n for detecting fundus images. Firstly, to enhance the model's ability to detect small objects, the Concat in the neck network of YOLOv8n is replaced with BiFPN. Additionally, considering that lesions in fundus images often have irregular and blurred boundaries, the original CIoU loss function in YOLOv8n is replaced with the Inner-IoU loss function to improve the model's recognition accuracy. Experimental results show that the Mean Average Precision at IoU=0.5 (mAP@0.5) of the improved YOLO model reaches 0.963, which is an improvement of 2.2% and 13.8% compared to the baseline model YOLOv8n and the classic object detection model Faster-RCNN, respectively. © 2024 SPIE.

关键词： Ophthalmology

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Effective peroxymonosulfate activation by lithium cobaltite recovered from spent lithium-ion batteries for enhanced carbamazepine degradation in a wide pH range

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Environmental Science and Pollution Research 2024年第39期31卷 51673-51686页

作者： Wang, Xi Hou, Fali Zhai, Jinli Yan, Jiali Gong, Chao Li, Yinghao Zhu, Wenjie Luo, Yongming Yang, Daoli Gao, Xiaoya Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming650500 China The Innovation Team for Volatile Organic Compounds Pollutants Control and Resource Utilization of Yunnan Province Kunming650500 China The Higher Educational Key Laboratory for Odorous Volatile Organic Compounds Pollutants Control of Yunnan Province Kunming650500 China

Considering the high cost and complicated recycling process of spent lithium-ion batteries (SLIBs), transforming SLIBs into environment functional materials may be a wise approach. Herein, lithium cobaltite (LCO) cathode powders recovered from SLIBs were used to activate peroxymonosulfate (PMS) for removing carbamazepine (CBZ). The recovered LCO enables a 98.2% removal efficiency of CBZ (2.5 mg/L) within 10 min, which was effective at a broader pH range (pH = 5.0–11.0). The influence of key factors (initial pH, PMS, and catalyst dosage) and coexisting substances (SO42−, H2PO4−, NO3−, Cl−, HCO3−, and HA) on CBZ degradation were examined in detail. The primary radical species during the degradation of CBZ were proved to be 1O2, SO4−, *** that generated from PMS activation initiated by the valence change of Co in recovered LCO. The recovered LCO displayed excellent reusability with about 80.0% removal of CBZ after six cycles. Homogeneous activation of PMS mainly contributed to CBZ degradation in the first run, but the recovered LCO catalyst dominated the heterogeneous activation of PMS for the degradation of CBZ in the second to sixth run. Finally, the CBZ degradation pathways were presented based on the identified intermediates. This research has offered a new strategy of "treating wastes with wastes" to maximize the recycling of electronic wastes to remove emerging pollutants. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Reusability

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Rapid Degrading Carbamazepine in a Novel Advanced Oxidation Process of Bisulfite Activated by Lithium Cobaltate Recovered from Spent Lithium-ion Battery

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Chemical Research in Chinese Universities 2024年第1期40卷 127-135页

作者： Yan Jiali Yang Kaiying Wang Xi Zhai Jinli Zhu Wenjie Yang Daoli Luo Yongming Gao Xiaoya Faculty of Environmental Science and Engineering Kunming University of Science and TechnologyKunming650500P.R.China Innovation Team for Volatile Organic Compounds Pollutants Control and Resource Utilization of Yunnan Province Kunming650500P.R.China Higher Educational Key Laboratory for Odorous Volatile Organic Compounds Pollutants Control of Yunnan Province Kunming650500P.R.China

Maximizing the sustainable recycling of spent lithium-ion batteries(LIBs)shows economic and environmental *** study recovered lithium cobaltate(LiCoO_(2),LCO)from spent LIBs cathode *** recovered LCO was then combined with NaHSO_(3)to remove refractory organic pollutants of carbamazepine(CBZ)in *** degradation of CBZ reached 80.0%within 60 min,by 1O_(2),SO_(4),OH and O_(2)^(-)generated in the LCO/NaHSO_(3)*** electron transfer between Co(III)and Co(II)was beneficial to the generation of free *** LCO/NaHSO_(3)degraded CBZ effectively in both secondary outlet water and tap ***,high concentrations of inorganic ions(Cl^(−),HCO_(3)^(-),HPO_(4)^(2-),SO_(2)−4,NO_(3)^(-))and natural organic matter(humic acid,HA)could inhibit the degradation of *** three cycles,the stability of the LCO/NaHSO_(3)system was demonstrated by the maintained high efficiency in the degradation of *** obtained data indicate that the LCO/NaHSO_(3)system holds great application potential in the field of advanced oxidation degradation of pollutants.

关键词： Spent lithium-ion battery Lithium cobaltate Carbamazepine NaHSO_(3) Advanced oxidation

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Simultaneously Selective Leaching Lithium and Fabricating Cobalt Oxide Catalyst from Spent Lithium-Ion Batteries for Advanced Oxidative Degradation of Carbamazepine Via Peroxymonosulfate Activation

SSRN

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SSRN 2024年

作者： Liang, Bingheng Gu, Qingcun Liu, Xuhao Guo, Teng Wang, Jiatian Zhu, Wenjie Luo, Yongming Gao, Xiaoya Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming650500 China The Innovation Team for Volatile Organic Compounds Pollutants Control Resource Utilization of Yunnan Province Kunming650500 China The Higher Educational Key Laboratory for Odorous Volatile Organic Compo unds Pollutants Control of Yunnan Province Kunming650500 China

The significant amount of spent lithium-ion batteries (LIBs) presents both opportunities and challenges for their recovery. In light of this, this research developed a method to selectively extract Li from LiCoO2 (LCO) batteries through autocatalytic advanced oxidation at room temperature. Following optimization of the conditions, the leaching rate of Li in LCO reached 94.8%. The remaining Co-containing products (NLCO) were then utilized to create advanced oxidation catalysts for activating peroxymonosulfate (PMS) to break down carbamazepine (CBZ) in water. As compared with LCO (without delithiation), the resulting NLCO exhibited a higher Co2+ ratio and more abundant oxygen vacancies (OV). The NLCO/PMS system displayed effective removal of CBZ, with the main active substances being 1O2, SO 4•- , and O 2•- . Furthermore, DFT-based electron density difference suggested that NLCO facilitated greater electron transfer and possessed a stronger capacity to activate PMS. Surprisingly, 2 mg/L of HA did not decrease the degradation efficiency of CBZ, indicating good tolerance to the environmental interferents. COHP calculation results revealed that the selective leaching of Li ensured strong and almost unbreakable Co-O in NLCO, leading to good stability and minimal Co loss during the reaction. Degradation pathways and toxicity analysis elucidated that the NLCO/PMS was a green and toxicity reduction process. This study showcased a method for recovering Li from spent LCO and subsequently producing an advanced oxidation catalyst for CBZ degradation, which offered a novel approach for recycling waste LIBs. © 2024, The Authors. All rights reserved.

关键词： Leaching

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Joint power allocation and relay selection algorithm for multiple-antenna terminals in cooperative MIMO systems

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International Journal of Performability Engineering 2019年第6期15卷 1570-1579页

作者： Han, Yuhui Sun, Jiyu Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Harbin150080 China School of Measurement and Control Technology and Communications Engineering Harbin University of Science and Technology Harbin150080 China

The relay selection and power allocation of cooperative MIMO with multiple-antenna terminals are investigated. Based on the classic worst-link-first algorithm, we propose a joint power allocation and relay selection algorithm, which takes maximizing the system energy gain as the optimization purpose. We consider quasi-static, flat fading channels, select relays, and allocate power according to the instantaneous channel state information. Theoretical analysis and computer simulations show that the proposed algorithm can achieve higher average network energy gain than the traditional worst-link-first algorithm, and its computational complexity is much lower. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： MIMO systems

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Optimized Metal Oxide-Support Interaction Enables Highly Effective Propane Dehydrogenation

SSRN

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SSRN 2024年

作者： Huang, Zijun Cao, Xiaohua Wang, Hao Chen, Dingkai Chen, Xianming He, Dedong Huang, Shuquan Luo, Yongming Faculty of Chemical Engineering Kunming University of Science and Technology Kunming650500 China Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming650500 China The Innovation Team for Volatile Organic Compounds Pollutants Control Resource Utilization of Yunnan Province Kunming650500 China The Higher Educational Key Laboratory for Odorous Volatile Organic Compounds Pollutants Control of Yunnan Province Kunming650500 China

Propane dehydrogenation (PDH) is a potential secure technique for manufacturing propylene. However, the toxicity of chromium (VI) and high cost of Pt restrict the advancement of commercial catalysts. In this study, we created a CoNi@SPP catalyst with a moderate metal oxide-support interaction for the PDH reaction. Specifically, the interaction is influenced by the transfer of electrons between nickel and cobalt. The transfer of electrons from nickel to cobalt reduces the strength of the interaction between the cobalt ions and the silicon carrier. As a result, the CoNi@SPP catalyst possess a moderate metal oxide-support interaction and increased Lewis acid sites thus exhibiting a greater PDH activity compared to the Co@SPP catalyst. Currently, there are few reports regarding the interaction between metal oxides and their supporting materials. This study highlighted the significance of the underlying interaction between metal oxide-support, thus expanding the potential applications of catalyst modification and devising novel techniques for its implementation. © 2024, The Authors. All rights reserved.

关键词： Dehydrogenation

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Revealing the Equilibrium Relationship between Lattice Oxygen Mobility and Styrene Removal: Sources of Adsorption and Activation by in Situ Experiments

SSRN

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SSRN 2023年

作者： Liao, Wei Zhu, Wenjie Lu, Jichang Zhang, Liming Zhang, Jin Gao, Xiaoya Luo, Yongming Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming650500 China The Innovation Team for Volatile Organic Compounds Pollutants Control Resource Utilization of Yunnan Province The Higher Educational Key Laboratory for Odorous Volatile Organic Compounds Pollutants Control of Yunnan Province Kunming650500 China Yunnan University Yunnan Key Laboratory of Micro/Nano Materials & Technology Kunming650500 China Faculty of Chemical Engineering Kunming University of Science and Technology Kunming650093 China

Copper-manganese composite oxides have been extensively researched for the catalytic oxidation of volatile organic compounds (VOCs), but there is little understanding of the adsorption and activation of VOCs over these compounds. In this work, a series of amorphous Cu-Mn binary oxides with varying Cu/Mn ratios were prepared to explore their catalytic performance and the species involved in the adsorption and activation of styrene (C8H8). It was found that Cu1Mn5Ox demonstrated better catalytic activity among the four samples, good stability, and water resistance due to the presence of more structural flaws, weaker Mn-O bonds and more surface lattice oxygen species. In situ designed experiments showed that the adsorbed oxygen species, O2, lattice oxygen, and copper species all played roles in the adsorption and activation of C8H8 at low temperatures. The degradation route for C8H8 was revealed by in situ DRIFTS, and benzoic acid decomposition was identified as the rate-limiting step of C8H8 degradation. This work provides a novel technique for regulating the synergistic adsorption and catalytic ability of amorphous bimetallic oxides to remove VOCs. © 2023, The Authors. All rights reserved.

关键词： Chemical activation

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Passively Q-switched diode-pumped Tm,Ho:LuVO4 laser with a black phosphorus saturable absorber

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Chinese Physics B 2019年第9期28卷 203-205页

作者： Linjun Li Tianxin Li Long Zhou Jianying Fan Yuqiang Yang Wenqiang Xie Shasha Li The Higher Educational Key Laboratory for Measuring&Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and TechnologyHarbin 150080China Heilongjiang Province Key Laboratory of Optoelectronics and Laser Technology&Heilongjiang Province Engineering Technology Research Center of Solid-state Laser Technology and Application Heilongjiang Institute of TechnologyHarbin 150050China

We presented a passively Q-switched(PQS) diode-pumped c-cut Tm, Ho:LuVO_4 laser with a black phosphorus saturable absorber for the first *** PQS mode, an average output power of 0.86 W and a peak power of 2.32 W were acquired from the Tm, Ho:LuVO4 laser with the pump power of 14.55 W, corresponding to a pulse width of 2.89 μs,a pulse repetition rate of 71.84 kHz, and a pulse energy of about 6.70 μJ.

关键词： passively Q-switched(PQS) technology Tm Ho:LuVO4 crystal pulse width

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