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Adaptive GTS allocation scheme with applications for real-time Wireless Body Area Sensor Networks
( Xiaoli Zhang ),( Yongnu Jin ),( Kyung Sup Kwak ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.5
The IEEE 802.15.4 standard not only provides a maximum of seven guaranteed time slots (GTSs) for allocation within a superframe to support time-critical traffic, but also achieves ultralow complexity, cost, and power in low-rate and short-distance wireless personal area networks (WPANs). Real-time wireless body area sensor networks (WBASNs), as a special purpose WPAN, can perfectly use the IEEE 802. 15. 4 standard for its wireless connection. In this paper, we propose an adaptive GTS allocation scheme for real-time WBASN data transmissions with different priorities in consideration of low latency, fairness, and bandwidth utilization. The proposed GTS allocation scheme combines a weight-based priority assignment algorithm with an innovative starvation avoidance scheme. Simulation results show that the proposed method significantly outperforms the existing GTS implementation for the traditional IEEE 802.15.4 in terms of average delay, contention free period bandwidth utilization, and fairness.
Zhang, Xiaoli,Liang, Dakai,Zeng, Jie,Lu, Jiyun Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.14 No.2
The objective of this study is to improve the survivability and reliability of the FBG sensor network in the structural health monitoring (SHM) system. Therefore, a model reconstruction soft computing recognition algorithm based on support vector regression (SVR) is proposed to achieve the high reliability of the FBG sensor network, and the grid search algorithm is used to optimize the parameters of SVR model. Furthermore, in order to demonstrate the effectiveness of the proposed model reconstruction algorithm, a SHM system based on an eight-point fiber Bragg grating (FBG) sensor network is designed to monitor the foreign-object low velocity impact of a CFRP composite plate. Simultaneously, some sensors data are neglected to simulate different kinds of FBG sensor network failure modes, the predicting results are compared with non-reconstruction for the same failure mode. The comparative results indicate that the performance of the model reconstruction recognition algorithm based on SVR has more excellence than that of non-reconstruction, and the model reconstruction algorithm almost keeps the consistent predicting accuracy when no sensor, one sensor and two sensors are invalid in the FBG sensor network, thus the reliability is improved when there are FBG sensors are invalid in the structural health monitoring system.
ZHANG Xiaoli 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.8
The technical similarity network and the cooperative network were built. The technical similarity relation on different thresholds may reflect a certain degree of technology competition situation. So the influence of technical similarity relation on the innovation performance is studied. When technical similarity value between 0.3 and 0.5, technical similarity relation has negative effects on the innovation performance, and the cooperative relation is a part or complete mediator.
Isolation and characterization of heat-responsive gene TaGASR1 from wheat (Triticum aestivum L.)
Liyuan Zhang,Xiaoli Geng,Haiyan Zhang,Chunlei Zhou,Aiju Zhao,Fei Wang,Yue Zhao,Xuejun Tian,Zhaorong Hu,Mingming Xin,Yingyin Yao,Zhongfu Ni;Qixin Sun,Qixin Sun,Huiru Peng 한국식물학회 2017 Journal of Plant Biology Vol.60 No.1
GA-stimulated transcript (GAST) family genes have been identified in numerous plant species. In this paper, we isolated and characterized a heat-responsive gene, TaGASR1, from heat tolerant variety TAM107. The complete ORF of TaGASR1 was cloned, which encoded a 98-kDa protein, and the sequence shared 51.52% similarity to OsGASR1. Analysis of the TaGASR1 promoter region showed that it contained a heat shock element (HSE) and several cis-elements involved in abiotic stress response and hormone signal transduction. Expression patterns of TaGASR1 revealed that it was strongly induced by stress factors, such as high temperature, drought, high salinity and oxidation, as well as the phytohormones, including MeJA, ACC and ABA, which suggested the TaGASR1 gene might participate in these stress and hormone signal transduction pathways. Transient expression of TaGASR1-GFP fusion proteins in onion epidermal cells indicated that TaGASR1 protein was localized to the cell membrane or cytosol. Further analysis showed that ectopic expression of TaGASR1 in Arabidopsis enhanced thermotolerance and reduced the accumulation of reactive oxygen species (ROS) after heat stress. Moreover, we also found that TaGASR1-overexpressing wheat improved tolerance to heat stress and oxidative stress.
Yanli Zhang,Meixue Zhao,Xu Li,Qingping Xin,Xiaoli Ding,Lizhi Zhao,Hui Ye,Ligang Lin,Hong Li,Yuzhong Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.125 No.-
The incorporation of porous nano-fillers into mixed matrix membranes (MMMs) has a great impact onCO2 separation. In this study, a series of F-Ln (Ln is the Light Lanthanide, Ln = La, Ce, Pr, Nd) nanosheetswith mesoporous structure was fabricated as a filler in Pebax1657 matrix to improve the performance ofCO2 separation. F-Ln nanosheets are uniformly distributed in the membrane and the mesoporous structurecan construct multiple channels for CO2 fast transport in Pebax/F-Ln MMMs. The pore diameter ofnanosheet is in order: F-La > F-Ce > F-Pr > F-Nd, and the smaller pore diameter of nanosheets is beneficialto improve the CO2 separation performance. In humidified conditions, Pebax/F-Nd-6 MMMs show optimumseparation performance among MMMs, and the CO2 permeability is up to 1265 Barrer and CO2/CH4selectivity is 36.7, which are 2.3 times and 1.9 times higher than pure Pebax and approaches 2019 upperbound. Meanwhile, to demonstrate the potential universal applicability of F-Ln nanosheets in CO2 separation,XLPEO/F-Ce MMMs were fabricated to separate CO2/N2 and the performance exceeds the 2019upper bound. The efficient CO2 separation performance of 2D F-Ln nanosheets with mesoporous structurein membranes reveals the potential application of these nanosheets in industrial CO2 separation.
Design of Intelligent Management and Service System for Gas Valve
Xiaoli Wang,Feifei Wang,Yuhou Song,Guirong Zhang,Shaohui Wang 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.5
This paper introduces a design scheme of intelligent gas valve management and service system based onInternet. This scheme adds sensor and general packet radio service (GPRS) modules to the traditional gas valveand establishes communication connection between gas valve and the server through wireless packetcommunication technology, which makes the traditional gas valve have the networking ability. Compared withthe traditional gas valve management and service business, the method proposed in this paper is moreconvenient and efficient.
Nonlinear Integrable Couplings of the Kaup-Newell Hierarchy
Xiaoli Wei,Jiao Zhang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.1
In this paper, a six-dimensional Lie algebra is first introduced, whose corresponding loop algebra is constructed, for which an isospectral problem is established. By zero curvature equations, we obtain the nonlinear integrable couplings of the Kaup-Newell (KN) hierarchy.
PM2.5 Estimation Based on Image Analysis
( Xiaoli Li ),( Shan Zhang ),( Kang Wang ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.2
For the severe haze situation in the Beijing-Tianjin-Hebei region, conventional fine particulate matter (PM2.5) concentration prediction methods based on pollutant data face problems such as incomplete data, which may lead to poor prediction performance. Therefore, this paper proposes a method of predicting the PM2.5 concentration based on image analysis technology that combines image data, which can reflect the original weather conditions, with currently popular machine learning methods. First, based on local parameter estimation, autoregressive (AR) model analysis and local estimation of the increase in image blur, we extract features from the weather images using an approach inspired by free energy and a no-reference robust metric model. Next, we compare the coefficient energy and contrast difference of each pixel in the AR model and then use the percentages to calculate the image sharpness to derive the overall mass fraction. Furthermore, the results are compared. The relationship between residual value and PM2.5 concentration is fitted by generalized Gauss distribution (GGD) model. Finally, nonlinear mapping is performed via the wavelet neural network (WNN) method to obtain the PM2.5 concentration. Experimental results obtained on real data show that the proposed method offers an improved prediction accuracy and lower root mean square error (RMSE).
Xiaoli Si,JIALI PU,Baorong Zhang 대한파킨슨병및이상운동질환학회 2017 Journal Of Movement Disorders Vol.10 No.2
Parkinson’s disease (PD), the second most common neurodegenerative disorder after Alzheimer’s disease, is characterized by the loss of nigral dopaminergic neurons. PD leads to a series of clinical symptoms, including motor and non-motor disturbances. α-synuclein, the major component of Lewy bodies, is a hallmark lesion in PD. In this review, we concentrate on presenting the latest research on the structure, distribution, and function of α-synuclein, and its interactions with PD. We also summarize the clinic applications of α-synuclein, which suggest its use as a biomarker, and the latest progress in α-synuclein therapy.