Optimized Distributed Fusion Filtering for Uncertain Nonlinear Systems With Missing Measurements: Algorithm Design and Boundedness Analysis

Zhibin Hu,Jun Hu,Junhua Du,Hongjian Liu,Jun Qi 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10

This paper investigates the optimized distributed fusion filtering (DFF) problem for a class of nonlinear discrete time-varying stochastic systems with randomly occurring uncertainty (ROU) and missing measurements (MMs). The stochastic nonlinearity is depicted in terms of statistical means. The phenomena of the ROU and MMs are considered during the modelling of state equation and measurement output respectively, which are characterized by Bernoulli distributed random variables. In order to deal with the effect of the parameter uncertainty, the method that the local estimation error covariances and cross-covariances from all estimators at every sample time are replaced by their upper bounds is adopted. Moreover, the minimum upper bounds for each filtering error covariance (FEC) are obtained by designing the corresponding filter gains. Based on the local filters, a new robust DFF algorithm is developed via the matrix-weighted fusion method. In addition, a sufficient condition concerning on the performance analysis of the developed algorithm is given, which can show that the boundedness of the upper bound for each FEC is guaranteed. Finally, a numerical example is provided to manifest the usefulness of the developed distributed fusion algorithm.

Secured Green Communication Scheme for Interference Alignment Based Networks

Zhibin Xie,Xinquan Geng,Yunfei Chen,Kening Song,Benjamin Panful,Yajun Wang,Yinjie Su,Zhenkai Zhang,Ying Hu 한국통신학회 2020 Journal of communications and networks Vol.22 No.1

In this paper, a new security and green communicationscheme is proposed to the interference-alignment (IA) based networks. To achieve a secured communication, full-duplex receiversare utilized to transmit artificial noise (AN). Both the signals andthe ANs are used to harvest energy to realize green communication. For these reasons, the feasible conditions of this scheme areanalyzed first. Secondly, the average transmission rate, the secrecyperformance and the harvested energy are investigated. Thirdly,an optimization scheme of simultaneous wireless information andpower transfer (SWIPT) is given to optimize the information transmissionand the energy harvesting efficiency. Meanwhile, an improvedIA iteration algorithm is designed to eliminate both the ANand the interference. Furthermore, relay cooperation is consideredand its system performance is analyzed. The simulations show thatthe target average transmission rate is not affected by AN, whilethe secrecy performance can be greatly improved. The energy harvestingefficiency is also better than the traditional schemes. Asexpected, the average transmission rate further is improved withthe relay cooperation.

Analytical and Numerical Investigation of Overstrength Factors for Very Short Shear Links in EBFs

Shujun Hu,Jingang Xiong,Qiang Zhou,Zhibin Lin 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.11

Shear links are key components in the Eccentrically Braced Frames (EBFs) that act as a structural fuse by dissipating seismic energy during severe earthquakes. Specification AISC 341, which is frequently used in the seismic design of steel structures, prescribes a constant overstrength factor of 1.50 for shear links. However, a few existing experimental results indicated that the overstrength of very short shear links with length ratio lower than 1.0 are much greater than required. In this paper, five basic factors influencing the overstrength of very short shear links are summarized as follows: web-ultimate-to-yield-shear-strength ratio, lengthto- stiffener-spacing ratio, flange-to-web-area ratio, flange-to-web-strength ratio, length-to-depth ratio. A numerical investigation with a detailed Finite Element (FE) model, verified by a comparison with existing experimental results, is conducted to investigate the combined effects of these five basic factors on the overstrength of very short shear links. Then, a new numerical model for predicting the overstrength value is proposed based on the FE analysis results and existing available experimental data by using the numerical fitting method, and it shows good agreement.

Wireless Energy-Harvesting Cognitive Radio with Feature Detectors

( Yan Gao ),( Yunfei Chen ),( Zhibin Xie ),( Guobing Hu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10

The performances of two commonly used feature detectors for wireless energy-harvesting cognitive radio systems are compared with the energy detector under energy causality and collision constraints. The optimal sensing duration is obtained by analyzing the effect of the detection threshold on the average throughput and collision probability. Numerical examples show that the covariance detector has the optimal sensing duration depending on an appropriate choice of the detection threshold, but no optimal sensing duration exists for the ratio of average energy to minimum eigenvalue detector.

A Novel Method for the Stability Assessment of Soil Slopes with Multi-layers Based on the Upper Bound Limit Analysis

Yongxin Li,Yining Hu,Fu Huang,Shuqin Li,Zhibin Sun 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.8

The discrete technique combined with the upper bound approach is applied to analyze the stability of soil slopes with multiple layers in this paper. Based on the geometrical relationship derived from the normality requirement, an algorithm is proposed to determine the coordinates of discrete points on the failure surface. Specifically, these points are generated from the initial point to the terminal point. After completion of the discrete sliding surface, the sliding block is sliced by the vertical slice technique. Equations with integral form for rates of internal energy dissipation and external work are then derived. The scheme for calculation of the safety factor is presented by means of the strength reduction method and the optimization algorithm. Comparison analysis based on four examples under various conditions demonstratesthe validity of the proposed method in addressing stability problem of slopes with multiple layers.

Performance and Applicability Analysis of Recognizing Microseismic Waveforms Using Neural Networks in Tunnel Engineering

Wei Zhang,Xin Bi,Lei Hu,Pengxiang Li,Zhibin Yao 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.2

The sudden and harmful nature of rockbursts in tunnels necessitates an accurate and applicable method for automatically recognizing rock fracture signals during rockburst microseismic (MS) monitoring. In this paper, the performance and applicability of recognizing MS waveforms using an artificial neural network (ANN) and a deep neural network (DNN) were studied in tunnels excavated by different methods. The results show that ANN performs very well in recognizing rock fracturing waveforms with a signal-to-noise ratio (SNR) ≥ 3 but has a low accuracy for those with an SNR < 3. The DNN also performs well for waveforms with SNR ≥3, and has a relatively high accuracy for waveforms with SNR < 3. The ANN model can be used in tunnels excavated by drilling and blasting (D&B) since there are fewer “small” rock fracturing events. The DNN model is applicable in tunnels excavated by the tunnel boring machine (TBM), recognizing more “small” events. In addition, the ANN model is a better choice, with fewer training samples at the initial stage of monitoring working. With continuous monitoring, the DNN model can be used to ensure and improve the accuracy. These results lay a foundation for automatic rockburst MS monitoring techniques in tunnel engineering.

Mixed organic acids improve nutrients digestibility, volatile fatty acids composition and intestinal microbiota in growing-finishing pigs fed high-fiber diet

Miao Li,Shenfei Long,Qianqian Wang,Lianhua Zhang,Jiangxu Hu,Jie Yang,Zhibin Cheng,Xiang Shu Piao 아세아·태평양축산학회 2019 Animal Bioscience Vol.32 No.6

Objective: The objective of this study was to investigate effects of mixed organic acids (MOA) on nutrient digestibility, volatile fatty acids composition and intestinal microbiota in growing-finishing pigs fed high wheat bran diet. Methods: Six crossbred barrows (Duroc×Landrace×Yorkshire), with an average body weight 78.8±4.21 kg, fitted with T-cannulas at the distal ileum, were allotted to a double 3×3 Latin square design with 3 periods and 3 diets. Each period consisted of a 5-d adjustment period followed by a 2-d total collection of feces and then a 2-d collection of ileal digesta. The dietary treatments included a corn-soybean-wheat bran basal diet (CTR), mixed organic acid 1 diet (MOA1; CTR+3,000 mg/kg OA1), mixed organic acid 2 diet (MOA2; CTR+2,000 mg/kg OA2). Results: Pigs fed MOA (MOA1 or MOA2) showed improved (p<0.05) apparent total tract digestibility (ATTD) of gross energy, dry matter and organic matter, and pigs fed MOA2 had increased (p<0.05) ATTD of neutral detergent fiber compared to CTR. Dietary MOA supplementation decreased (p<0.05) pH value, and improved (p<0.01) concentrations of lactic acid and total volatile fatty acids (TVFA) in ileum compared to CTR. Pigs fed MOA showed higher (p<0.05) concentration of acetic acid, and lower (p<0.05) content of formic acid in feces compared to CTR. Pigs fed MOA1 had increased (p<0.05) concentration of TVFA and butyric acid in feces. Pigs fed MOA1 showed higher concentration of Lactobacillus and lower concentration of Escherichia in feces compared to CTR. Conclusion: Dietary supplementation of MOA 1 or 2 could improve nutrients digestibility, TVFA concentration and intestinal flora in growing-finishing pigs fed high fiber diet.

Regulation of HBV-specific CD8+ T cell-mediated inflammation is diversified in different clinical presentations of HBV infection

Colin M. Dinney,Lu-Dong Zhao,Charles D. Conrad,Jay M. Duker,Richard O. Karas,Zhibin Hu,Michele A. Hamilton,Thomas R. Gillis,Thomas M. Parker,Bing Fan,Andrew H. Advani,Fred B. Poordad,Paulette L. Fauce 한국미생물학회 2015 The journal of microbiology Vol.53 No.10

Chronic HBV infection is the leading cause of liver cirrhosis and hepatic cancer, but the individual responses toward HBV infection are highly variable, ranging from asymptomatic to chronic active hepatitis B inflammation. In this study, we hypothesized that the different individual responses to HBV infection was associated with differences in HBV-specific CD8+ T cell-mediated inflammation and cytotoxicity. Blood samples were collected from subjects with asymptomatic HBV-infection, subjects undergoing active chronic HBV flares (active CHB), and subjects with HBV-infected hepatocellular carcinoma (HBV-HCC). By tetramer staining, we found that all three groups had similar frequencies of HBVspecific CD8+ T cells. However, after HBV peptide stimulation, the HBV-specific CD8+ T cells in asymptomatic subjects had significantly stronger interferon gamma (IFN-γ), tumor necrosis factor alpha (TNF-α), and CD107a expression than those in active CHB and HBV-HCC patients. Examination of surface marker expression revealed that the PD-1-Tim-3- double-negative cell population was the main contributor to HBV-specific inflammation. In active CHB patients and HBV-HCC patients, however, the frequencies of activated PD-1-Tim-3- cells were significantly reduced. Moreover, the serum HBV DNA titer was not correlated with the frequencies of HBV-specific CD8+ T cells but was inversely correlated with the frequencies of IFN-g-expressing and CD107a-express cells in response to HBV stimulation. Together, our data demonstrated that the status of HBVspecific CD8+ T cell exhaustion was associated with different clinical outcomes of chronic HBV infection.

Family History and Stroke Risk in China: Evidence from a Large Cohort Study

Tian Tian,Guangfu Jin,Canqing Yu,Jun Lv,Yu Guo,Zheng Bian,Ling Yang,Yiping Chen,Hongbing Shen,Zhengming Chen,Zhibin Hu,Liming Li 대한뇌졸중학회 2017 Journal of stroke Vol.19 No.2

Background and Purpose Large cohort studies on relationship between family history of stroke(FHS) and stroke risk are lacking in Asians. We aimed to systematically evaluate the association ofFHS with stroke risk in a cohort study of 0.5 million Chinese adults. Methods Information about FHS was self-reported. The median follow-up time was 7.16 years andthe end-point of follow-up was incident stroke, which was entered directly into the China KadoorieBiobank system. Multivariate analyses were performed with Cox proportional hazards model, andinteraction analyses were carried using likelihood-ratio tests. Results Compared with participants without FHS, the hazard ratio (HR) (95% confidence interval,CI) of stroke for participants with FHS was 1.50 (1.46-1.55). The HRs increased with the number offirst degree relatives with stroke (HRs=1.41, 1.98 and 2.47 for 1, 2 and ≥3 relatives, respectively,Ptrend <0.001). The HRs were 1.57 (95% CI: 1.50-1.66) and 1.49 (95% CI: 1.45-1.54) for siblinghistory and parental history, respectively. Similar associations with offspring stroke risk wereobserved between paternal history (HR=1.48, 95% CI: 1.43-1.54) and maternal history (HR=1.49,95% CI: 1.43-1.55). Moreover, significant interactions were detected between FHS and health-riskbehaviors (tobacco smoking and alcohol drinking). Conclusions FHS is an independent risk factor for stroke in Chinese. The more first degree relativesare affected by stroke, the higher are individuals’ risk of suffering from stroke. The management ofthe health-risk behaviors for reducing stroke should be highlighted, especially for the individualswith FHS.

Genetic variations in DROSHA and DICER and survival of advanced non-small cell lung cancer: a two-stage study in Chinese population

Shuangshuang Wu,Yun Pan,Songyu Cao,Jiali Xu,Yan Liang,Yan Wang,Lei Chen,Yunyan Wei,Chongqi Sun,Weihong Zhao,Zhibin Hu,Hongxia Ma,Hongbing Shen,Jianqing Wu 한국유전학회 2015 Genes & Genomics Vol.37 No.7

MicroRNAs (miRNA) are a class of small, noncoding RNA molecules involved in carcinogenesis. Genetic variations in miRNA processing genes may affect the biogenesis of miRNAs, and consequently affect miRNAs regulation and development and progression of human cancer. Therefore, we hypothesized that polymorphisms in two main miRNA biosynthesis genes (DROSHA and DICER) may modulate the survival of advanced non-small cell lung cancer (NSCLC) patients in China. We selected 36 common tagging SNPs in DROSHA and DICER and evaluated the associations of these SNPs with survival of advanced NSCLC patients by a two-stage study in Chinese Han population (discovery cohort: 303 patients; replication cohort: 340 patients). Thirty-six SNPs were detected in the discovery cohort and 12 promising SNPs were validated in the replication cohort. The results showed that DROSHA rs3805525 was marginally associated with the survival of NSCLC patients in the replication cohort (dominant model: HR 0.69, 95 % CI 0.46–1.03, P = 0.071), which was in the same direction as that in the discovery cohort. When combing all patients into one group, three SNPs (rs3805525, rs17410035 and rs7719497) in DROSHA showed significantly associations with NSCLC survival (additive model: HR 0.82, 95 % CI 0.68–0.99 for rs3805525; HR 0.79, 95 % CI 0.62–1.00 for rs17410035; HR 0.76, 95 % CI 0.62–0.93 for rs7719497). Additionally, the combined analysis of those three SNPs showed a significant locus-dosage effect between number of favorable alleles and death risk of NSCLC (Trend P = 0.002). Genetic variations in DROSHA might be associated with the survival of advanced NSCLC patients in Chinese population.