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Cluster Head Selection Optimization of IOT Medical Data Transmission Ant Colony Algorithm
Beibei Dong,Benzhen Guo,Yanli Ma,Xiao Zhang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.12
According to the standard ant colony algorithm in Internet of things (IOT) medical data transmission path selection, there are the problems of searching time is not long, easy to fall into partial optimization. This paper puts forward a kind of IOT medical data transmission model based on quantum pheromone updating and cluster heads choose optimization ant colony algorithm. First of all, using quantum bit probability amplitude encodes information of each path element, using quantum revolving doors and the route of the ants to update pheromone, then the ant search behavior is concentrated near the optimal solution, and the way of searching and restriction mechanism of avoiding precocious pheromone are combined, and finally optimizing the cluster heads of IOT medical data transmission model with the improved algorithm. The simulation experiments show that, through the pheromone update optimization of standard ant colony algorithm, and after the cluster heads optimization of IOT medical data transmission model, improved ant colony algorithm is more robust compared with the standard algorithm.
Medical Monitoring Model of Internet of Things Based on the Adaptive Threshold Difference Algorithm
Beibei Dong,Jingjing Yang,Yanli Ma,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.5
There are still problems such as low detection accuracy and poor noise immunity in the application of the standard threshold difference algorithm in the signal detection of electrocardiosignal (ECG), in this paper, a medical monitoring model based on the adaptive threshold difference is proposed. First we use a nonlinear filter to filter the P wave and T wave which are low frequency in ECG signal. Then complex wave QRS will be tested. Then the algorithm will be more accuracy through the detection of the R-R interval length and the adjustment of threshold. Finally, the ECG signal will be test with quadratic spline wavelet twice, and the error judgment will be known through adaptive threshold difference. In the simulation experiments, after judging error by wavelet transformation and making the standard threshold difference algorithm optimize adaptively, algorithm showed excellent detection accuracy with and without noise.
Chen Huaicheng,Yan Tao,Song Zongming,Ying Shilong,Wu Beibei,Ju Xin,Yang Xi,Qu Jia,Wu Wencan,Zhang Zongduan,Wang Yi 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-
Modified LDL-induced inflammation and oxidative stress are involved in the pathogenesis of diabetic retinopathy. Recent studies have also shown that modified LDL activates Toll-like receptor 4 (TLR4) to mediate retinal injury. However, the mechanism by which modified LDL activates TLR4 and the potential role of the TLR4 coreceptor myeloid differentiation protein 2 (MD2) are not known. In this study, we inhibited MD2 with the chalcone derivatives L2H17 and L6H21 and showed that MD2 blockade protected retinal Müller cells against highly oxidized glycated-LDL (HOG-LDL)-induced oxidative stress, inflammation, and apoptosis. MD2 inhibition reduced oxidative stress by suppressing NADPH oxidase-4 (NOX4). Importantly, HOG-LDL activated TLR4 and increased the interaction between NOX4 and TLR4. MD2 was required for the activation of these pathways, as inhibiting MD2 prevented the association of NOX4 with TLR4 and reduced NOX4-mediated reactive oxygen species production and TLR4-mediated inflammatory factor production. Furthermore, treatment of diabetic mice with L2H17 significantly reduced LDL extravasation in the retina and prevented retinal dysfunction and apoptosis by suppressing the TLR4/MD2 pathway. Our findings provide evidence that MD2 plays a critical role in mediating modified LDL-induced cell injury in the retina and suggest that targeting MD2 may be a potential therapeutic strategy.
Manhole Cover Detection from Natural Scene Based on Imaging Environment Perception
( Haoting Liu ),( Beibei Yan ),( Wei Wang ),( Xin Li ),( Zhenhui Guo ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10
A multi-rotor Unmanned Aerial Vehicle (UAV) system is developed to solve the manhole cover detection problem for the infrastructure maintenance in the suburbs of big city. The visible light sensor is employed to collect the ground image data and a series of image processing and machine learning methods are used to detect the manhole cover. First, the image enhancement technique is employed to improve the imaging effect of visible light camera. An imaging environment perception method is used to increase the computation robustness: the blind Image Quality Evaluation Metrics (IQEMs) are used to percept the imaging environment and select the images which have a high imaging definition for the following computation. Because of its excellent processing effect the adaptive Multiple Scale Retinex (MSR) is used to enhance the imaging quality. Second, the Single Shot multi-box Detector (SSD) method is utilized to identify the manhole cover for its stable processing effect. Third, the spatial coordinate of manhole cover is also estimated from the ground image. The practical applications have verified the outdoor environment adaptability of proposed algorithm and the target detection correctness of proposed system. The detection accuracy can reach 99% and the positioning accuracy is about 0.7 meters.
Lei Pan,Hexu Sun,Beibei Wang,Yan Dong,Rui Gao 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
On the basis of the traditional ZSI (Z-source inverter), this paper presents a ESL-Γ-ZSI, which uses a unique Γ-shaped impedance network and an extended SL network for boosting its output voltage in addition to their usual voltage-buck behavior. The inverter can increase the boost factor through adjusting shoot-through duty ratio and increasing the number of inductors. Capacitor voltage stress of ESL-Γ-ZSI is a constant when 1>D>0, and ESL-Γ-ZSI has small inductor current stress. The working principle of ESL-Γ-ZSI and comparison with the classical ZSI and SL- ZSI are analyzed in detail. The power loss comparison between ESL-Γ-ZSI and Cuk converter is analyzed detailedly. Simulation and experimental results are given to demonstrate the operation features of the inverter.
Pan, Lei,Sun, Hexu,Wang, Beibei,Dong, Yan,Gao, Rui The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
On the basis of the traditional ZSI (Z-source inverter), this paper presents a ESL-${\Gamma}$-ZSI, which uses a unique ${\Gamma}$-shaped impedance network and an extended SL network for boosting its output voltage in addition to their usual voltage-buck behavior. The inverter can increase the boost factor through adjusting shoot-through duty ratio and increasing the number of inductors. Capacitor voltage stress of ESL-${\Gamma}$-ZSI is a constant when 1>D>0, and ESL-${\Gamma}$-ZSI has small inductor current stress. The working principle of ESL-${\Gamma}$-ZSI and comparison with the classical ZSI and SL- ZSI are analyzed in detail. The power loss comparison between ESL-${\Gamma}$-ZSI and Cuk converter is analyzed detailedly. Simulation and experimental results are given to demonstrate the operation features of the inverter.