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Degradation of acephate using combined ultrasonic and ozonation method

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Water Science and Engineering 2015年第3期8卷 233-238页

作者： Bin Wang Chang-ping Zhu Run-hang Gong Jin Zhu Bo Huang Fei Xu Qing-gong Ren Qing-bang Han Zhen-bing He changzhou key laboratory of sensor networks and environmental sensing Hohai University Nanjing Institute of Electronic Technology College of Petrochemical Engineering Changzhou University changzhou Xinlinian Ultrasonic Equipment Co. Ltd.

The degradation of acephate in aqueous solutions was investigated with the ultrasonic and ozonation methods, as well as a combination of both. An experimental facility was designed and operation parameters such as the ultrasonic power, temperature, and gas flow rate were strictly controlled at constant levels. The frequency of the ultrasonic wave was 160 kHz. The ultraviolet-visible （UV-Vis） spectroscopic and Raman spectroscopic techniques were used in the experiment. The UV-Vis spectroscopic results show that ultrasonication and ozonation have a syn- ergistic effect in the combined system. The degradation efficiency of acephate increases from 60.6% to 87.6% after the solution is irradiated by a 160 kHz ultrasonic wave for 60 min in the ozonation process, and it is higher with the combined method than the sum of the separated ultrasonic and ozonation methods. Raman spectra studies show that degradation via the combined ultrasonic/ozonation method is more thorough than photocatalysis. The oxidability of nitrogen atoms is promoted under ultrasonic waves. Changes of the inorganic ions and degradation pathway during the degradation process were investigated in this study. Most final products are innocuous to the environment.

关键词： Acephate Ultrasonic wave Ozonation Degradation pathway

Image Denoising with Adaptive Weighted Graph Filtering

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Computers, Materials & Continua 2020年第8期64卷 1219-1232页

作者： Ying Chen Yibin Tang Lin Zhou Yan Zhou Jinxiu Zhu Li Zhao School of Information Science and Engineering Southeast UniversityNanjing210096China Department of Psychiatry and Translational Imaging Columbia University&NYSPINew York10032USA College of Internet of Things Engineering Hohai UniversityChangzhou213022China changzhou key laboratory of sensor networks and environmental sensing Changzhou213022China

Graph filtering,which is founded on the theory of graph signal processing,is proved as a useful tool for image *** graph filtering methods focus on learning an ideal lowpass filter to remove noise,where clean images are restored from noisy ones by retaining the image components in low graph frequency ***,this lowpass filter has limited ability to separate the low-frequency noise from clean images such that it makes the denoising procedure less *** address this issue,we propose an adaptive weighted graph filtering(AWGF)method to replace the design of traditional ideal lowpass *** detail,we reassess the existing low-rank denoising method with adaptive regularizer learning(ARLLR)from the view of graph filtering.A shrinkage approach subsequently is presented on the graph frequency domain,where the components of noisy image are adaptively decreased in each band by calculating their component *** a result,it makes the proposed graph filtering more explainable and suitable for ***,we demonstrate a graph filter under the constraint of subspace representation is employed in the ARLLR ***,ARLLR can be treated as a special form of graph *** not only enriches the theory of graph filtering,but also builds a bridge from the low-rank methods to the graph filtering *** the experiments,we perform the AWGF method with a graph filter generated by the classical graph Laplacian *** results show our method can achieve a comparable denoising performance with several state-of-the-art denoising methods.

关键词： Graph filtering image denoising Laplacian matrix low rank

Adaptive image enhancement using nonsubsampled contourlet transform domain histogram matching

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Chinese Optics Letters 2014年第A02期12卷 36-39页

作者：周妍李庆武霍冠英 College of lOT Engineering Hohai University Changzhou 213022 China changzhou key laboratory of sensor networks and environmental sensing Changzhou 213022 China

In this letter, we propose a novel adaptive image enhancement algorithm based on nonsubsampled contourlet transform （NSCT） coefficient histogram matching. Firstly, the original image is decomposed in the NSCT domain. Secondly, the NSCT coefficient histograms of the original image in corresponding subbands are adaptively mapped to those of the reference image via histogram matching after threshold denoising. Finally, the enhanced image is reconstructed fl＇om the modified coefficients via inverse NSCT. Experimental results demonstrate that the proposed adaptive algorithm effectively improves subtle features while suppressing noise compared with existing algorithms.

关键词： 100.0100 Image processing 100.2000 Digital image processing 100.2980 Image enhancement 350.6980 Transforms

Time difference based measurement of ultrasonic cavitations in wastewater treatment

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High Technology Letters 2016年第1期22卷 63-66页

作者：朱昌平 Wang Bin Liu Changwei Gong Runhang Liu Jing Ren Qinggong Han Qingbang Huang Bo Shan Minglei Tang Yibin Ni Caihua Jiangsu key laboratory of Power Transmission and Distribution Equipment Technology Changzhou Key Laboratory of Sensor Networks and Environmental Sensing Hohai University Changzhou 213022 P. R. China School of Petrochemical Engineering Changzhou University Changzhou 213164 P. R. China School of Chemical and Material Engineering Jiangnan University Wuxi 214122 P. R. China

Intensity of cavitation is significant in ultrasonic wastewater treatment,but is complicated to measure.A time difference based method of ultrasonic cavitation measurement is *** time differences at different powers of 495 kHz ultrasonic are measured in experiment in comparison with conductimetric *** results show that time difference and electrical conductivity are both approximately positive proportional to the ultrasonic *** degradation of PNP solution verifies the availability in wastewater treatment by using ultrasonic.

关键词： cavitation intensity sound velocity time difference wastewater treatment

Internet of Things to network smart devices for ecosystem monitoring

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Science Bulletin 2019年第17期64卷 1234-1245页

作者： Xin Li Ning Zhao Rui Jin Shaomin Liu Xiaomin Sun Xuefa Wen Dongxiu Wu Yan Zhou Jianwen Guo Shiping Chen Ziwei Xu Mingguo Ma Tianming Wang Yonghua Qu Xinwei Wang Fangming Wu Yuke Zhou Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China State key laboratory of Remote sensing Science Faculty of Geographical Science Beijing Normal University Beijing 100875 China State key laboratory of Remote sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy o f Sciences Beijing 100101 China Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy o f Sciences Beijing 100101 China key laboratory of Remote sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China State key laboratory of Earth Surface Processes and Resource Ecology Faculty o f Geographical Science Beijing Normal University Beijing 100875 China key laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China State key laboratory of Vegetation and environmental Change Institute of Botany Chinese Academy of Sciences Beijing 100093 China Optoelectronics System laboratory Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China Research Base of Karst Eco-environments at Nanchuan in Chongqing Ministry of Nature Resources School of Geographical Sciences Southwest University Chongqing 400715 China Ministry of Education key laboratory for Biodiversity Science and Engineering Monitoring and Research Center for Amur Tigers and Amur Leopards National Forestry and Grassland Administration & College of Life Sciences Beijing Normal University Beijing 100875 China

Smart, real-time, low-cost, and distributed ecosystem monitoring is essential for understanding and managing rapidly changing ecosystems. However, new techniques in the big data era have rarely been introduced into operational ecosystem monitoring, particularly for fragile ecosystems in remote *** introduce the Internet of Things(IoT) techniques to establish a prototype ecosystem monitoring system by developing innovative smart devices and using IoT technologies for ecosystem monitoring in isolated environments. The developed smart devices include four categories: large-scale and nonintrusive instruments to measure evapotranspiration and soil moisture, in situ observing systems for CO2 and d13 C associated with soil respiration, portable and distributed devices for monitoring vegetation variables, and Bi-CMOS cameras and pressure trigger sensors for terrestrial vertebrate monitoring. These new devices outperform conventional devices and are connected to each other via wireless communication networks. The breakthroughs in the ecosystem monitoring IoT include new data loggers and longdistance wireless sensor network technology that supports the rapid transmission of data from devices to wireless networks. The applicability of this ecosystem monitoring IoT is verified in three fragile ecosystems, including a karst rocky desertification area, the National Park for Amur Tigers, and the oasis-desert ecotone in China. By integrating these devices and technologies with an ecosystem monitoring information system, a seamless data acquisition, transmission, processing, and application IoT is created. The establishment of this ecosystem monitoring IoT will serve as a new paradigm for ecosystem monitoring and therefore provide a platform for ecosystem management and decision making in the era of big data.

关键词： Ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device

Advanced flexible humidity sensors:structures,techniques,mechanisms and performances

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Frontiers of Materials Science 2023年第4期17卷 37-53页

作者： Yuzhe Zhang Yuxi Liu Lifei Lin Man Zhou Wang Zhang Liwei Lin Zhongyu Li Yuanzhe Piao Sun Ha Paek School of environmental Science and Engineering Changzhou UniversityChangzhou 213164China Department of Applied Bioengineering Graduate School of Convergence Science and TechnologySeoul National UniversitySeoul 08826Republic of Korea Jiangsu key laboratory of Advanced Catalytic Materials and Technology School of Petrochemical EngineeringChangzhou UniversityChangzhou 213164China College of Chemistry and Molecular Sciences Wuhan UniversityWuhan 430072China Department of Neurosurgery Movement Disorder CenterSeoul National University HospitalSeoul 03080Republic of Korea Advanced Institutes of Convergence Technology Suwon-siGyeonggi-do 16229Republic of Korea

Flexible humidity sensors are widely used in many fields,such as environmental monitoring,agricultural soil moisture content determination,food quality monitoring and healthcare ***,it is essential to measure humidity accurately and reliably in different *** materials have been the focusing substrates of humidity sensors because of their rich surface chemical properties and structural *** addition,flexible materials have superior ductility for different *** this review,we have summarized several sensing mechanisms,processing techniques,sensing layers and substrates for specific humidity sensing ***,we have sorted out some cases of flexible humidity sensors based on different functional *** hope this paper can contribute to the development of flexible humidity sensors in the future.

关键词： flexible composite manufacturing technology sensing mechanism humidity sensor

Recent progress in high-resolution tactile sensor array: From sensor fabrication to advanced applications

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Progress in Natural Science:Materials International 2023年第1期33卷 55-66页

作者： Rui Wang Shaoxiong Hu Wei Zhu Yue Huang Wenhao Wang Ying Li Yuchen Yang Jiajie Yu Yuan Deng Research Institute for Frontier Science Beihang University School of Materials Science and Engineering Beihang University key laboratory of Intelligent sensing Materials Chip Integration Technology of Zhejiang Province(2021E10022) Hangzhou Innovation Institute of Beihang University

Tactile sensors can transform the environmental stimuli into electrical signals to perceive and quantify the environmental information, which show huge application prospects. The development of bionic robots and wearable devices towards intelligence has put high demands on the performance of tactile sensor arrays. Herein,the current state-of-the-art tactile sensor arrays over recent years have been summarized, from sensor array fabrication to advanced applications. The main preparation methods of patterned array including screen printing,3D printing, laser microprocessing, and textile technology are discussed in detail. Strategies to optimize the signal crosstalk caused by flexible high-density sensor arrays are systematically introduced from the perspective of structure design and circuit design. Furthermore, advanced tactile sensors are not limited to a single pressure sensing function, and hence the development of multimodal detection for sensors has been discussed. In order to promote the adaptability in applications, stretchable and self-powered versatile integration scheme for advanced sensing are briefly described. Then, by means of machine learning and neural networks, it is possible to deeply explore the information embedded in the tactile acquisition signal with enriched application scenarios. Finally,the current challenges and the future perspectives for flexible tactile sensor arrays towards practical use are provided.

关键词： Tactile sensor arrays Fabrication Anti-crosstalk design Integration strategy Advanced application

A Phenyl Sulfide Functionalized Luminescent sensors for Efficient Fe3+ and Cr2O72- Ions Detection

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Chinese Journal of Structural Chemistry 2019年第12期38卷 2121-2128页

作者： XU Han PAN Zhao-Rui School of Chemistry and Chemical Engineering Key Laboratory of Inorganic Functional MaterialsHuangshan UniversityHuangshan 245041China School of environmental Science Nanjing Xiaozhuang UniversityNanjing 211171China

A new complex, {[Cd（BIDPT）（NBA）]}n（1）, was synthesized from the selfassembly of BIDPT（BIDPT = 4,4?-bis（imidazol-l-yl）diphenyl thioether） and H2NBA（H2 NBA = 4,4?-azanediyldibenzoic acid） ligands with Cd（Ⅱ）. 1 was characterized by infrared spectroscopy, powder X-ray diffraction, elemental analysis, and thermogravimetry measurement. 1 crystallizes in monoclinic system, space group P21/c with a = 8.8204（1）, b = 29.835（3）, c = 10.3813（1） ?, β = 96.180（2）°, V = 2730.7（5） ?3, Z = 4, C32H22CdN5O4S, Mr = 685.01, Dc = 1.666 g/cm3, μ = 0.926 mm-1, R = 0.0548 and wR = 0.1528. 1 features a parallel structure with 3-connected hcb network and the adjacent 2 D networks are stacked together via C–H···π interaction to form a 3 D network. Its application in detecting metal cations and inorganic anions was explored. 1 exhibits excellent photoluminescence sensing for Fe3+ and Cr2O72- ions. And the mechanism of quenching is also studied.

关键词： luminescent sensor helical chain quenching mechanism

Numerical simulation of a truncated cladding negative curvature fiber sensor based on the surface plasmon resonance effect

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Chinese Physics B 2023年第3期32卷 262-269页

作者：张志超苑金辉邱石周桂耀周娴颜玢玢吴强王葵如桑新柱 State key laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China Research Center for Convergence networks and Ubiquitous Services University of Science&Technology BeijingBeijing 100083China Guangzhou key laboratory for Special Fiber Photonic Devices South China Normal UniversityGuangzhou 510006China Department of Physics and Electrical Engineering Northumbria UniversityNewcastle upon TyneNE18STUnited Kingdom key laboratory of Nondestructive Test(Ministry of Education) Nanchang Hong Kong UniversityNanchang 330063China

A refractive index(RI)sensor based on the surface plasmon resonance effect is proposed using a truncated cladding negative curvature fiber(TC-NCF).The influences of the TC-NCF structure parameters on the sensing performances are investigated and compared with the traditional *** simulation results show that the proposed TC-NCF RI sensor has an ultra-wide detection range from 1.16 to *** maximum wavelength sensitivity reaches 12400 nm/RIU,and the corresponding R^(2)of the polynomial fitting equation is *** maximum and minimum resolutions are 2.56×10^(-5)and 8.06×10^(-6),*** addition,the maximum amplitude sensitivity can reach-379.1 RIU^(-1)when the RI is chosen as *** proposed TC-NCF RI sensor could be useful in biochemical medicine,environmental monitoring,and food safety.

关键词： truncated cladding negative curvature fiber refractive index sensor surface plasmon resonance