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- 저자 : Xiong Xiaohui (검색결과 3 건)
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A Novel Data Fusion Scheme using Grey Model and Extreme Learning Machine in Wireless Sensor Networks
Xiong Luo,Xiaohui Chang 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.3
With the increasing presence and adoption of wireless sensor networks (WSNs), the demand of data acquisition and data fusion are becoming stronger and stronger. In WSN, sensor nodes periodically sense data and send them to the sink node. Since the network consists of plenty of low-cost sensor nodes with limited battery power and the sensed data usually are of high temporal redundancy, prediction-based data fusion has been put forward as an important issue to reduce the number of transmissions and save the energy of the sensor nodes. Considering the fact that the sensor node usually has limited capabilities of data processing and storage, a novel prediction-based data fusion scheme using grey model (GM) and optimally pruned extreme learning machine (OP-ELM) is proposed. The proposed data fusion scheme called GM-OP-ELM uses a dual prediction mechanism to keep the prediction data series at the sink node and sensor node synchronous. During the data fusion process, GM is introduced to initially predict the data of next period with a small number of data items, and an OP-ELM-based single-hidden layer feedforward network (SLFN) is used to make the initial predicted value approximate its true value with extremely fast speed. As a robust and fast neural network learn-ing algorithm, OP-ELM can adaptively adjust the structure of the SLFN. Then, GM-OP-ELM can provide high prediction accuracy, low communication overhead, and good scalability. We evaluate the performance of GM-OP-ELM on three actual data sets that collected from 54 sensors deployed in the Intel Berkeley Research lab. Simulation results have shown that the proposed data fusion scheme can significantly reduce redundant transmissions and extend the lifetime of the whole network with low computational cost.
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Enhancing Physiochemical Properties of Chitosan Films Through Photo-crosslinking by Riboflavin
Shengyu Zhu,Jiliu Pei,Yukang Song,Yu Liu,Feng Xue,Xiaohui Xiong,Chen Li 한국섬유공학회 2022 Fibers and polymers Vol.23 No.10
This study aimed to improve the physicochemical properties of chitosan (CS) film by riboflavin (RF)-inducedcross-linking under ultraviolet (UV) light for different times (0, 2, 4, 6 h). It was found that the water vapor resistance, tensilestrength, optical property, and thermal stability of the film were significantly enhanced under RF-induced photo-crosslinking,especially when illuminated for 6 h. Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD) verified themolecular bonding of CS and RF, as well as scanning electron microscope (SEM) showed a tighter and more uniform filmstructure was formed through UV crosslinking. Thus, the CS-RF films have the potential to replace petrochemical materialsas a novel type of environmentally friendly packaging material.
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Lu Yunjun,Li Shu,Shen Xiaodong,Zhao Yan,Zhou Dongming,Hu Dan,Cai Xushen,Lu Lixia,Xiong Xiaohui,Li Ming,Cao Min 한국미생물학회 2021 The journal of microbiology Vol.59 No.10
Streptococcus suis serotype 2 (S. suis 2) is an important zoonotic pathogen that presents a significant threat both to pigs and to workers in the pork industry. The initial steps of S. suis 2 pathogenesis are unclear. In this study, we found that the type II histidine triad protein HtpsC from the highly virulent Chinese isolate 05ZYH33 is structurally similar to internalin A (InlA) from Listeria monocytogenes, which plays an important role in mediating listerial invasion of epithelial cells. To determine if HtpsC and InlA function similarly, an isogenic htpsC mutant (ΔhtpsC) was generated in S. suis by homologous recombination. The htpsC deletion strain exhibited a diminished ability to adhere to and invade epithelial cells from different sources. Double immunofluorescence microscopy also revealed reduced survival of the ΔhtpsC mutant after cocultivation with epithelium. Adhesion to epithelium and invasion by the wild type strain was inhibited by a monoclonal antibody against E-cadherin. In contrast, the htpsC-deficient mutant was unaffected by the same treatment, suggesting that E-cadherin is the host-cell receptor that interacts with HtpsC and facilitates bacterial internalization. Based on these results, we propose that HtpsC is involved in the process by which S. suis 2 penetrates host epithelial cells, and that this protein is an important virulence factor associated with cell adhesion and invasion.
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