- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Effective Removal of Tetracycline by Using Biochar Supported Fe3O4 as a UV-Fenton Catalyst
摘要： Novel Fe3O4-decorate hierarchical porous carbon skeleton derived from maize straw(Fe3O4@MSC) was synthesized by a facile co-precipitation process and a calcination process, which was developed as a UV assisted heterogeneous Fenton-like catalyst. The as-synthesized catalysts were characterized via X-ray powder diffraction(XRD), scanning electron microscope(SEM), transmission electron microscope(TEM), Brunauer-Emmet-Teller(BET) and vibrating sample magnetometer(VSM) at room temperature. The morphology and structure analysis revealed that the as-prepared Fe3O4@MSC retained the original pore morphology of the maize straw material. The non-uniform polyhedral Fe3O4 grew on the whole surface of the MSC, which reduced the aggragation of Fe3O4 and provided more active sites to strengthen the UV-assisted Fenton-like reaction. As a result, the tetracycline(TC) degradation efficiency after 40 min reaction and total organic carbon(TOC) removal efficiency after 2 h reaction of Fe3O4@MSC catalyzing UV-Fenton system reached 99.2% and 72.1%, respectively, which were more substantial than those of Fe3O4@MSC/H2O2(31.5% and 2%), UV/H2O2 system(68% and 23.4%) and UV/Fe3O4/H2O2(80% and 37.5%). The electron spin resonance(ESR) results showed that the ?OH played an important role in the catalytic reaction. A possible degradation pathway of TC was proposed on the basis of the identified intermediates. Overall, the UV assisted heterogeneous Fenton-like process in Fe3O4@MSC improved the cycle of Fe3+/Fe2+ and activated the interfacial catalytic site, which eventually realized the enhancement of degradation and mineralization to tetracycline.
关键词： Degradation of tetracycline,Heterogeneous Fenton-like catalyst,Fe3O4,Carbon skeleton of maize straw,UV irradiation
更新于2025-11-14 17:04:02
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Electron Transport Improvement of Perovskite Solar Cell via ZIF-8 Derived Porous Carbon Skeleton
摘要： To improve electron transport rate of perovskite solar cell, ZIF-8 derived porous carbon skeleton layer is prepared by carbonizing the ZIF-8 thin film on conducting glass as the electron transport skeleton of perovskite solar cell. Polyvinyl pyrrolidone is added during the synthesis of ZIF-8 to reduce the particle size of ZIF-8 and decrease the carbonization temperature below 600°C. The porous structure of ZIF-8 is mainly reserved at the optimized carbonization temperature. Then TiO2 nanoparticles are deposited on the surface of porous carbon skeleton to form an electron transport layer of perovskite solar cell with the structure of FTO/ZIF-8 derived porous carbon layer/TiO2/Perovskite/Spiro-OMeTAD/Au. Due to the good conductivity of the ZIF-8 derived porous carbon skeleton, the photogenerated electron transport rate of perovskite solar cell is increased. At the same time, the porous structure of ZIF-8 derived carbon layer increases the contact area between the perovskite layer and the TiO2 layer to favor separation of photogenerated charges. Therefore, the light-to-electric conversion efficiency of CH3NH3PbI3 perovskite solar cell is enhanced from 14.25% to 17.32%.
关键词： Electron transport,Increase of contact area,Porous carbon skeleton,Good conductivity,Polyvinyl pyrrolidone,Perovskite solar cell,Metal organic frameworks
更新于2025-11-14 17:04:02
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Hardware implementation of digital image skeletonization algorithm using FPGA for computer vision applications
摘要： This paper proposed a method for digital image skeletonization of 2-D image of size 8 (cid:1) 8 and its implementation on Field Programmable Gate Array (FPGA). The time required to execute the proposed algorithm for 8 (cid:1) 8 dimension image on FPGA recon?gurable hardware is 4.815 ns, maximum output required time after clock: 4.075 ns, maximum frequency: 207.684 MHz, minimum input arrival time before clock: 2.284 ns. These values are for Vertex 5 FPGA board. This proposed algorithm ?nds applications in pattern recognition, computer vision, image matching and so on. This method can used in real time image processing applications. This algorithm may be extended for 3-D images and FPGA architecture may be proposed accordingly.
关键词： Computer vision,Gray scale images,2-D image,Skeleton,FPGA
更新于2025-09-23 15:22:29
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[IEEE 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Singapore, Singapore (2018.11.18-2018.11.21)] 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Bi-Manual Articulated Robot Teleoperation using an External RGB-D Range Sensor
摘要： In this paper, we present an implementation of a bi-manual teleoperation system, controlled by a human through three-dimensional (3D) skeleton extraction. The input data is given from a cheap RGB-D range sensor, such as the ASUS Xtion PRO. To achieve this, we have implemented a 3D version of the impressive OpenPose package, which was recently developed. The first stage of our method contains the execution of the OpenPose Convolutional Neural Network (CNN), using a sequence of RGB images as input. The extracted human skeleton pose localisation in two-dimensions (2D) is followed by the mapping of the extracted joint location estimations into their 3D pose in the camera frame. The output of this process is then used as input to drive the end-pose of the robotic hands relative to the human hand movements, through a whole-body inverse kinematics process in the Cartesian space. Finally, we implement the method as a ROS wrapper package and we test it on the centaur-like CENTAURO robot. Our demonstrated task is of a box and lever manipulation in real-time, as a result of a human task demonstration.
关键词： bi-manual robot,teleoperation,skeleton extraction,CENTAURO robot,OpenPose,inverse kinematics,RGB-D sensor
更新于2025-09-23 15:22:29
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Pattern Reconstructability in Fully Parallel Thinning
摘要： It is a challenging topic to perform pattern reconstruction from a unit-width skeleton, which is obtained by a parallel thinning algorithm. The bias skeleton yielded by a fully-parallel thinning algorithm, which usually results from the so-called hidden deletable points, will result in the dif?culty of pattern reconstruction. In order to make a fully-parallel thinning algorithm pattern reconstructable, a newly-de?ned reconstructable skeletal pixel (RSP) including a thinning ?ag, iteration count, as well as reconstructable structure is proposed and applied for thinning iteration to obtain a skeleton table representing the resultant thin line. Based on the iteration count and reconstructable structure associated with each skeletal pixel in the skeleton table, the pattern can be reconstructed by means of the dilating and uniting operations. Embedding a conventional fully-parallel thinning algorithm into the proposed approach, the pattern may be over-reconstructed due to the in?uence of a biased skeleton. A simple process of removing hidden deletable points (RHDP) in the thinning iteration is thus presented to reduce the effect of the biased skeleton. Three well-known fully-parallel thinning algorithms are used for experiments. The performances investigated by the measurement of reconstructability (MR), the number of iterations (NI), as well as the measurement of skeleton deviation (MSD) con?rm the feasibility of the proposed pattern reconstruction approach with the assistance of the RHDP process.
关键词： skeleton,image processing,reconstructable skeletal pixel (RSP),thinning,hidden deletable point (HDP),pattern reconstruction
更新于2025-09-23 15:21:21
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[IEEE 2018 Digital Image Computing: Techniques and Applications (DICTA) - Canberra, Australia (2018.12.10-2018.12.13)] 2018 Digital Image Computing: Techniques and Applications (DICTA) - Robust CNN-based Gait Verification and Identification using Skeleton Gait Energy Image
摘要： As a kind of behavioral biometric feature, gait has been widely applied for human verification and identification. Approaches to gait recognition can be classified into two categories: model-free approaches and model-based approaches. Model-free approaches are sensitive to appearance changes. For model-based approaches, it is difficult to extract the reliable body models from gait sequences. In this paper, based on the robust skeleton points produced from a two-branch multi-stage CNN network, a novel model-based feature, Skeleton Gait Energy Image (SGEI), has been proposed. Relevant experimental performances indicate that SGEI is more robust to the cloth changes. Another contribution is that two different CNN-based architectures have been separately proposed for gait verification and gait identification. Both these two architectures have been evaluated on the datasets. They have presented satisfying performances and increased the robustness for gait recognition in the unconstrained environments with view variances and cloth variances.
关键词： Gait Identification,Gait Verification,Deep Convolutional Neural Networks,Skeleton Gait Energy Image
更新于2025-09-19 17:15:36
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Spectral radiative properties of skeleton inner structure of ceramic foam based on ordered opal structure model
摘要： In this work, three dimensional periodic ordered opal structures are used to model the inner structures of skeleton of porous ceramic foam. The radii of close-packed spheres range from 0.7 μm to 1.7 μm. The spectral radiative properties are predicted by applying the FDTD method to analyze the radiative transfer inside the skeleton. The characteristics of re?ection spectra and transmission spectra with increasing incident wavelength are analyzed, including the different feature regions constituting the variation curves and the red shift of variation curve with growing size of close-packed spheres. The values and characteristics of absorption peaks surrounding the locations where size parameters are approximate to 1 are compared. The BSDF of scattering power are calculated further. The transformation of transmission in incident direction and re?ection in mirror direction is shown. Then, the distribution of radiation intensity in cross sections parallel to the incident light are compared and the variety from uniform distribution to anisotropic periodic distribution is summarized. The prediction and analysis are bene?t to further researches about the radiative transfer inside the porous ceramic foam.
关键词： Spectral radiative properties,Skeleton of ceramic foam,Opal structure,FDTD
更新于2025-09-19 17:15:36
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[IEEE IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan (2019.7.28-2019.8.2)] IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - Tree Skeleton Extraction From Laser Scanned Points
摘要： The tree skeleton is one of the important parameters for building 3D model of the tree. The accurate extraction of tree skeleton is of great significance for tree visualization. This paper proposed an effective method for extracting tree skeleton of individual trees. The complexity of canopy structure was reduced by slicing. The leaf and wood components were separated by combining classification and segmentation methods. L1-median algorithm was used to extract the tree skeleton points accurately. The results show that the method can accurately extract the tree skeleton from terrestrial LiDAR data. The extracted skeleton had a good conformance with the point cloud of the tree in morphology.
关键词： LiDAR,L1-median,tree skeleton
更新于2025-09-16 10:30:52
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[IEEE 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) - Athens, Greece (2018.8.12-2018.8.15)] 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) - Key Frame Extraction of Skeleton Joint Based on Kinect Sensor
摘要： In order to reduce the computational complexity and improve the recognition accuracy for human activity recognition based on Kinect sensor, this paper presents a key frame extraction method of 25 skeleton joint points based on Kinect sensor. This method takes the skeleton joint points as a whole to express the depth of the human body, and uses the structural similarity of the skeleton to determine the key frames. The results show that the extraction of features is discriminative. Based on the results, it further refines the core findings, significance of the research, and suggestions for future studies.
关键词： kinect sensor,skeleton joint,feature extraction
更新于2025-09-11 14:15:04
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[IEEE 2018 37th Chinese Control Conference (CCC) - Wuhan (2018.7.25-2018.7.27)] 2018 37th Chinese Control Conference (CCC) - Human Pose Recognition Based on Skeleton Fusion from Multiple Kinects
摘要： Human pose recognition has attracted much attention in HCI, video games and so on. In this paper, a new method is proposed to recognize human pose based on skeleton fusion from multiple Kinects. Kinect can extract per-frame skeleton of human motion in real-time, which has problems of occlusions, data missing and errors. This paper adopts two Kinects to capture the human motion in different views to overcome these problems. Firstly, we use the skeleton tracking technology to obtain the 3D coordinates of 25 body joints; Secondly, we unify the joints coordinates which are captured by two Kinects in different views to a common world coordinates by using coordinates transform; Finally, we apply skeleton fusion algorithm to generate convinced human pose. From the experiment, we can easily find that the proposed method can effectively avoid the problems of occlusions, data missing and errors which often appear in single Kinect.
关键词： Kinect,Coordinates Transform,Occlusion,Skeleton Fusion,Human Pose
更新于2025-09-09 09:28:46