57,287 results on '"Li Bin"'
Search Results
202. Mix-ratio optimization for air-tight tunnel concrete
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Huang Xiaoliang, Zhang Yong, Hou Dingge, Xue Cheng, Li Guang, Li Bo, Wang Zhendi, and Li Bin
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Environmental sciences ,GE1-350 - Abstract
In this paper, we studied the effect of fly ash and mix ratio on the compressive strength of air-tight concrete, the introduced fly ash would decrease the early compressive strength of concrete. With curing age increasing, the gape in the compressive strength between concrete without fly ash and concrete containing fly ash is decreasing. Moreover, concrete containing fly ash showed smaller air permeability, the introduced fly ash improved the airtightness of concrete.
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- 2022
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203. Research progress of tunnel air-tight concrete
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An Junjie, Li Guang, Liu Gang, Xue Cheng, Hou Dingge, Wang Shaolong, Wang Zhendi, and Li Bin
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Environmental sciences ,GE1-350 - Abstract
With the quick development of transportation network construction, the tunnel construction has been an important part. During the tunnel construction process, especially in the gas zone, gas leaking has been a common problem. For avoiding gas leakage, it is necessary to enhance the air-tightness of the tunnel concrete, air-tight concrete is a kind of concrete with excellent air tightness performance. In this paper, we introduced the research progress of tunnel air-tight concrete, including the effect of mix ratio, composition on the air-tight performance of tunnel concrete and corresponding characterization methods.
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- 2022
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204. Techno-economic analysis of 30MW biomass power plant modification for heating supply
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Qian Wei, Qiao Jiawei, Li Bin, Zheng Xing, Zheng Zongming, and Xiao Xianbin
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biomass combined heat and power ,low vacuum ,steam extraction ,bypass heating ,Environmental sciences ,GE1-350 - Abstract
Biomass combined heat and power (CHP) generation is the more efficient use of biomass compared the direct combustion power generation. The techno-economic analysis of 30 MW biomass direct combustion power set’s modification for heat supply is investigated in this work. Three schemes are employed to provide the district heating supply, including low vacuum condenser, steam extraction, and turbine bypass. The low vacuum condenser approach is the most promising based on the techno-economic analysis. The calculated outlet pressure of the steam turbine, the power generation capacity, the heating supply and the maximum heating area are 30KPa, 27MW, 143.58GJ/h, and 900,000 m2respectively. The expected annual income of biomass combined heat and power plants amounts up to 7,422,700 RMB.
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- 2022
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205. A new multiaxial fatigue life prediction model considering additional hardening effect
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Li Bin, Liu Jianhui, and Wang Xiuli
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Mechanical engineering and machinery ,TJ1-1570 - Abstract
The established linear fatigue life prediction model based on the Miner rule has been widely applied to fatigue life prediction under constant amplitude uniaxial and multiaxial loading. Considering the physical significance of crack formation and propagation, a multiaxial equivalent linear fatigue life prediction model is put forward based on Miner rule and critical plane method under constant amplitude loading. The essence of this approach is that the equivalent strain, which consists of the shear strain and normal strain on the critical plane, replaces the relevant parameter of uniaxial nonlinear fatigue damage model. The principal axes of stress/strain rotate under non-proportional loading. Meanwhile, the microstructure of material and slip systems change, which lead to additional hardening effect. The ratio of cyclic yield stress to static yield stress is used to represent the cyclic hardening capacity of material, and the influence of phase difference and loading condition on the non-proportional hardening effect is considered. The multiaxial fatigue life is predicted using equivalent stain approach, maximum shear stain amplitude model, CXH model, and equivalent multiaxial liner model under proportional and/or non-proportional loading. The smooth and notched fatigue specimens of four kinds of materials (Q235B steel, titanium alloy TC4, Haynes 188, and Mod.9Cr-1Mo steel) are used in the multiaxial fatigue experiments to verify the proposed model. The predicted results of these materials are compared with the test results, and the results show that these four models can achieve good effect under proportional loading, but the proposed model performs better than the other three models under non-proportional loading. Meanwhile, it also verifies that the proposed enhancement factor can reflect the influence of phase difference and material properties on additional hardening.
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- 2020
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206. FOXK1 Promotes Proliferation and Metastasis of Gallbladder Cancer by Activating AKT/mTOR Signaling Pathway
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Ma Wencong, Wang Jinghan, Yu Yong, Ao Jianyang, Li Bin, Cheng Qingbao, Liu Chen, and Jiang Xiaoqing
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gallbladder cancer ,prognosis ,FOXK1 ,progression ,AKT/mTOR ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Gallbladder cancer (GBC) is one of the most lethal malignancies worldwide, with extremely poor prognosis. Recently, forkhead box k1 (FOXK1), a member of the FOX transcription factor family, has been reported to be correlated with tumor progression in multiple malignancies. However, the role of FOXK1 in GBC has not been elucidated. In this study, we demonstrated that the expression level of FOXK1 was elevated in human GBC tissues and associated with increased liver metastasis, poor histological differentiation, advanced TNM stage, and shorter overall survival. Knockdown of FOXK1 expression inhibited GBC cells proliferation and metastasis. Consistently, overexpression of FOXK1 promoted GBC cells progression. Mechanical investigations verified that knockdown of FOXK1 could lead to G1/S cell cycle arrest through downregulating CDK4, CDK6, cyclin D1, and cyclin E1. And FOXK1 could regulate the expression of epithelial–mesenchymal transition (EMT) related proteins E-cad, N-cad, and Vimentin. Moreover, we found that FOXK1 could regulate the activation of Akt/mTOR signaling pathway. In addition, AKT special inhibitor MK-2206 could abolish the proliferation and metastasis discrepancy between FOXK1 overexpression GBC cells and control cells, which suggested the tumorpromoting effect of FOXK1 may be partially related with the activations of Akt/mTOR signaling pathway. Collectively, our results suggested that FOXK1 promotes GBC cells progression and represent a novel prognostic biomarker and potential therapeutic target in GBC.
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- 2020
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207. Game Models for Closed-Supply Chain with Different Competition-Cooperation Relationships under Fairness Preference
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Zhang Nian, Li Bin, Wei Kun, and Wang Mengxue
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Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Considering the complex problem of competition and cooperation among enterprises in the process of product selling and recycling, different coopetition game models of closed-loop supply chain with the fairness preference of a manufacturer and retailers are constructed according to the actual investigation. Then, this study primarily used fairness preference theory and game theory to analyze the impact of fairness preference on the pricing decision, recycling and remanufacturing strategy, and coopetition model selection. The results show that (1) enterprises’ fairness preference would increase the wholesale price and retail price, and the stronger the degree of fairness preference is, the more obvious the trend is; (2) enterprises’ fairness preference is not conducive to recycling and remanufacturing, and the higher level of fairness preference is associated with the lower recycling rate of waste products; (3) enterprises’ fairness preference would not affect the model selection but would benefit the overall profit.
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- 2020
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208. Comparative analysis of the polyphenols profiles and the antioxidant and cytotoxicity properties of various blue honeysuckle varieties
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Wang Yuehua, Xie Xu, Ran Xulong, Chou Shurui, Jiao Xinyao, Li Enhui, Zhang Qi, Meng Xianjun, and Li Bin
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blue honeysuckle ,polyphenol profiles ,antioxidant activity ,cytotoxicity ,Chemistry ,QD1-999 - Abstract
The polyphenol profile, antioxidant activity (particularly peroxyl radical-scavenging capacity (PSC) and cellular antioxidant activity (CAA)) and cytotoxicity of extracts from seven varieties of blue honeysuckle were compared in this study. Moreover, an analysis of correlations between individual polyphenol profiles and antioxidant activities was also conducted. Seventeen components were found in the investigated blue honeysuckle extracts, with anthocyanins being the prominent bioactive components among polyphenols. Fruit peel contained higher concentrations of individual anthocyanins compared to the fruit pulp. Beilei blue honeysuckle had the highest antioxidant activity. Correlation analysis showed that antioxidant activity values were highly associated with cyanidin-3-glucoside levels. Blue honeysuckle extracts were not cytotoxic over the range of doses tested. Among the varieties analyzed, Beilei possessed the highest antioxidant properties and was found to be the most appropriate source of natural antioxidants.
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- 2018
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209. Monitoring and detection of leprosy patients in Southwest China: A retrospective study, 2010–2014
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Wang Le, Jiang Haiqin, Hao Danfeng, Shi Ying, Zhang Wenyue, Yang Jun, Xiong Li, Shui Tiejun, Shen Limei, Liu Jie, Wang De, Ning Yong, Liu Yangying, Wang Hao, Kuang Yanfei, Li Bin, Yumi Maeda, Malcolm Duthie, Yu Meiwen, Wang Hongsheng, Yan Liangbin, Zhang Guocheng, Wang Baoxi, and Gu Heng
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Medicine ,Science - Abstract
Abstract More than 100 counties, mainly in southwest China, report incidence rates of leprosy >1/100,000. The current study analysed the epidemiology of leprosy in southwest China to improve our understanding of the transmission pattern and improve control programs. 207 counties were selected in southwest China. Leprosy patients and their household contacts were recruited. The data from the medical interview and the serological antileprosy antibody of the leprosy patients were analysed. A total of 2,353 new cases of leprosy were interviewed. The distribution of leprosy patients was partly associated with local natural and economic conditions, especially several pocket areas. A total of 53 from 6643 household contacts developed leprosy, and the incidence rate of leprosy in the household contacts was 364/100,000 person-years. We found that NDO-BSA attained higher positive rates than MMP-II and LID-1 regardless of clinical types, disability and infection time in leprosy patients. By means of combination of antigens, 88.4% patients of multibacillary leprosy were detected, in contrast to 59.9% in paucibacillary leprosy. Household contacts should be given close attention for the early diagnosis, disruption of disease transmission and precise control. Applications of serology for multi-antigens were recommended for effective coverage and monitoring in leprosy control.
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- 2018
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210. Cluster and Principle Component Analysis of Soybean Grown at Various Row Spacings, Planting Dates and Plant Populations
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Kahlon Charanjit Singh, Li Bin, Board James, Dia Mahendra, Sharma Parmodh, and Jat Prahlad
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cluster analysis ,principle components ,leaf are index ,light interception ,total dry matter ,planting dates and row spacing ,Agriculture ,Agriculture (General) ,S1-972 - Abstract
Increased light interception (LI), along with concomitant increases in crop growth rate (CGR), is the main factor explaining how cultural factors such as row spacing, plant population, and planting date affect soybean yield. Leaf area index (LAI), LI, and CGR are interrelated in a “virtuous spiral” where increased LAI leads to greater LI resulting in a higher CGR and more total dry matter per area (TDM). This increases LAI, thus accelerating the entire physiological process to a higher level. A greater understanding of this complex growth dynamic process could be achieved through use of cluster analysis and principle components analysis (PCA). Cluster analysis involves grouping of similar objects in such way that objects in same cluster are similar to each other and dissimilar to objects in other cluster. PCA is a technique used to reduce a large set of variables to a few meaningful ones. Seasonal relative leaf area index (RLAI), relative light interception (RLI), and relative total dry matter (RTDM) response curves were determined from the data by a stepwise regression analysis in which these parameters were regressed against relative days after emergence (RDAE). Greatest levels of RLAI, RLI and RTDM were observed in soybean planted early on narrow row spacings and recorded greater plant population. In contrast, lower levels of these parameters occurred on plants with wide row spacings at late planting dates. For farmers, these results are useful in terms of adopting certain cultural practices which can help in the management of stress in soybean.
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- 2018
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211. The probabilistic load flow analysis by considering uncertainty with correlated loads and photovoltaic generation using Copula theory
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Li Bin, Muhammad Shahzad, Qi Bing, Muhammad Ahsan, Muhammad U Shoukat, Hafiz MA Khan, and Nabeel AM Fahal
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Copula theory ,correlation ,Monte Carlo simulation ,photovoltaic generation ,probabilistic load flow analysis ,sampling ,uncertainty ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 ,Renewable energy sources ,TJ807-830 - Abstract
In this paper, a probabilistic load flow analysis is proposed in order to deal with probabilistic problems related to the power system. Due to increasing trend of penetration of renewable energy sources in power system brought two factors: One is uncertainty, and another one is dependence. Uncertainty and dependence factor increase risk associated with power system operation and planning. In this proposed model these two factors is considered. Gaussian Copula theory is proposed to establish the probability distribution of correlated input random variables. Three sampling methods are used with Monte Carlo simulation as simple random sampling, Box-Muller sampling, and Latin hypercube sampling in order to evaluate the accuracy of the proposed method. The main advantages of this model are as: It can establish any type of correlation between input random variable with the help of Copula theory, it is free from the restrictions of Pearson coefficient of correlation, it is unconstrained by the marginal distribution of input random variables, and uncertainty is established with photovoltaic generation this is the main source of uncertainty. Additional, in order to evaluate the accuracy and efficiency of the proposed model a real load and photovoltaic generation data is adopted. For accuracy evaluation purpose two comparative test system is adopted as modified IEEE 14 and IEEE 118-bus test system.
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- 2018
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212. Serum levels of PIICP, PIIANP, and PIIBNP are decreased in patients with an endemic osteochondropathy, Kashin-Beck disease
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Wei Lian, Hui Liu, Li Yan Sun, Yun Qi Liu, Si Lu Cui, Yue Wang, Quan Quan Song, Qing Deng, Shao Ping Wang, Yan Hong Cao, Xue Ying Zhang, Yuan Yuan Jiang, Hong Yan Lv, Li Bin Duan, and Jun Yu
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Kashin-Beck disease ,Type II collagen ,PIICP ,PIIANP ,PIIBNP ,Biomarkers ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Kashin-Beck disease (KBD) is an endemic, chronic, degenerative osteoarthropathy. KBD is usually diagnosed by using X-ray image and clinical symptoms, lacking of serological biomarkers. The serum level of PIICP, PIIANP, and PIIBNP can specifically reflect the damage of the cartilage. So, in this study, the serum levels of PIICP, PIIANP, and PIIBNP were detected in order to determine whether they can be used as potential biomarkers for the diagnosis of KBD. Method Using a status survey, the survey sites were selected in the KBD historical endemic areas and non-endemic areas in Jilin and Heilongjiang provinces. All local residents have undergone clinical examination, X-ray examination of the hands and knees, and questionnaire survey. A total of 554 people were surveyed, and 184 residents who are eligible for inclusion criteria were selected as our subjects. Fifty-six cases were diagnosed as KBD and 63 individuals were included as internal control and 65 subjects were included as external control. And blood samples of surveyed subjects were collected, and the serum was separated to detect the levels of PIICP, PIIANP, and PIIBNP by ELISA. Statistical analysis was performed using the SPSS software. Results There were no statistically significant differences in age and sex among the three groups. The Kruskal-Wallis H test showed that the serum levels of PIICP, PIIANP, and PIIBNP were significantly different among the three groups. Multiple comparisons using Dunnett’s T3 test revealed that serum levels of PIICP, PIIANP, and PIIBNP were significantly lower in KBD patients than in internal and external control. However, there was no significant difference between the internal and external control. Conclusions The results preliminarily indicated that the levels of PIICP, PIIANP, and PIIBNP in serum could reflect the abnormal synthesis of type II collagen in KBD patients and suggested that these indicators might be used as potential biomarkers for the diagnosis of KBD.
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- 2018
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213. Characterization of gut bacterial flora of Apis mellifera from north-west Pakistan
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Syed Ishtiaq Anjum, Abdul Haleem Shah, Muhammad Aurongzeb, Junaid Kori, M. Kamran Azim, Mohammad Javed Ansari, and Li Bin
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Apis mellifera ,Alimentary canal ,Microbiota ,Insect physiology ,Pollinator ,Biology (General) ,QH301-705.5 - Abstract
Gut microbiota has been recognized to play a beneficial role in honey bees (Apis mellifera). Present study was designed to characterize the gut bacterial flora of honey bees in north-west Pakistan. Total 150 aerobic and facultative anaerobic bacteria from guts of 45 worker bees were characterized using biochemical assays and 16S rDNA sequencing followed by bioinformatics analysis. The gut isolates were classified into three bacterial phyla of Firmicutes (60%), Proteobacteria (26%) and Actinobacteria (14%). Most of the isolates belonged to genera and families of Staphylococcus, Bacillus, Enterococcus, Ochrobactrum, Sphingomonas, Ralstonia, Enterobacteriaceae, Corynebacterium and Micrococcineae. Many of these bacteria were tolerant to acidic environments and fermented sugars, hence considered beneficial gut inhabitants and involved the maintenance of a healthy microbiota. However, several opportunistic commensals that proliferate in the hive environment including members Staphylococcus haemolyticus group and Sphingomonas paucimobilis were also identified. This is the first report on bee gut microbiota from north-west Pakistan geographically situated at the crossroads of Indian subcontinent and central Asia.
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- 2018
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214. Design and Analysis of a Novel Micromanipulation Robot Mechanism
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Sun Jianhua, Gu Hai, Zhang Jie, and Li Bin
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Micromanipulation ,Five degree-of-freedom ,Robot mechanism ,Kinematics ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
At present,microsurgery is applied widely in cells and smaller units of gene tissue surgery,but its limitation lies in the lack of excellent micromanipulation equipment. Therefore,a hybrid robot mechanism for micromanipulation with three translation and two rotation of five degrees of freedom (DOF) is presented. Firstly,the mobility and motion feature of this 5-DOF mechanism is analyzed with the constraint screw method.Then the inverse and forward displacement problems of the proposed hybrid mechanism are solved according to the geometrical relationship,and the Jacobian matrix of the mechanism is obtained based on the forward and inverse solution,the decoupled feature of the proposed parallel mechanism is validated. Finally,the kinematics models of the mechanism are established,the virtual prototype model of the mechanism is established and simulated by Matlab,the linear displacements and angular velocities output image of the mechanism are obtained,the correctness of the theoretical analysis is verified and established,the theoretical foundation for its further applications is provided.
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- 2018
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215. Probabilistic Computational Model for Correlated Wind Farms Using Copula Theory
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Li Bin, Muhammad Shahzad, Qi Bing, Muhammad Umair Shoukat, Muhammad Shakeel, and Elshiekh K. Mohammedsaeed
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Correlation ,improved Latin hypercube sampling ,Monte Carlo simulation ,probabilistic load flow ,random variable ,uncertainty ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
This paper proposed a probabilistic load flow analysis of correlated wind farms based on Copula theory. This method addresses the linear and non-linear dependence between random variables more efficiently and accurately than other methods. The proposed method is nearly unconstrained to the marginal probability distribution types of the input random variables. The dependency between the input random variables is established using Copula theory in this paper. An improved Latin hypercube sampling is adopted due to the real discrete data. Uncertainty and dependence factors are considered to access the load flow of the power system accurately and comprehensively. The validity of the probability distribution between the correlated random variables is evaluated by adopting the power output of wind farms located in New Jersey. The effectiveness and accuracy of the proposed model are investigated using the comparative test in modified IEEE 14-bus and IEEE 118-bus test systems.
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- 2018
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216. Research on the Statistical Characteristics of Crosstalk in Naval Ships Wiring Harness Based on Polynomial Chaos Expansion Method
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Chi Yaodan, Li Bin, Yang Xiaotian, Wang Tianhao, Yang Kaiyu, and Gao Yinhan
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naval ships wiring harness ,crosstalk ,polynomial chaos expansion ,statistical characteristics ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 - Abstract
Crosstalk in wiring harness has been studied extensively for its importance in the naval ships electromagnetic compatibility field. An effective and high-efficiency method is proposed in this paper for analyzing Statistical Characteristics of crosstalk in wiring harness with random variation of position based on Polynomial Chaos Expansion (PCE). A typical 14-cable wiring harness was simulated as the object of research. Distance among interfering cable, affected cable and GND is synthesized and analyzed in both frequency domain and time domain. The model of naval ships wiring harness distribution parameter was established by utilizing Legendre orthogonal polynomials as basis functions along with prediction model of statistical characters. Detailed mean value, mean square error, probability density function and reasonable varying range of crosstalk in naval ships wiring harness are described in both time domain and frequency domain. Numerical experiment proves that the method proposed in this paper, not only has good consistency with the MC method can be applied in the naval ships EMC research field to provide theoretical support for guaranteeing safety, but also has better time-efficiency than the MC method. Therefore, the Polynomial Chaos Expansion method.
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- 2017
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217. Clinical observation of mitomycin and 5-fluorouracil with adjustable sutural trabeculectomy for glaucoma
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Xiao-Li Chen, Li Bin, and Zhi-Ke Xu
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glaucoma ,adjustable suture ,trabeculectomy ,mytomycin C ,5-fluorouracil ,prognosis ,Ophthalmology ,RE1-994 - Abstract
AIM: To take a contrastive analysis of glaucoma patients' clinical prognosis and complications after the usage of mitomycin(MMC)or 5-fluorouracil(5-FU)combined with adjustable sutural trabeculectomy. METHODS: Retrospective case series reseach was undertaken. We divided the 71 cases(including primary open angle glaucoma and primary chronic angle-closure glaucoma)into two groups: MMC group(36 cases)and 5-FU group(35 cases). Both were treated with combined adjustable sutural trabeculectomy with the usage of MMC or 5-FU anti-cicatricial treatment, and followed up to compare intraocular pressure, filtered bubble form and complications. RESULTS: The intraocular pressure of MMC group was lower than 5-FU group with statistical significance(PP>0.05). Functional filtering bleb formation rate in MMC group was higher than 5-FU group while the formation rate of nonfunctional filtering bleb in MMC group was lower than 5-FU group(PP>0.05), but the types of complications were different. CONCLUSION: Both MMC and 5-FU can improve the success rate of glaucoma trabeculectomy as anti-cicatricial drugs. MMC can lower the intraocular pressure, is superior to 5-FU in the formation of functional filtering bleb. There was no significant difference in the incidence of complications between MMC and 5-FU according to personalized surgical protocols based on patients. When 5-FU is used, it is necessary to separate the filtering blebs repeatedly after operation and to reinject 5-FU under conjunctiva.
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- 2018
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218. Research on the Influence of Teachers' Perceived Transformational Leadership on Knowledge Sharing Behavior in Colleges and Universities in Anhui, China
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Li-bin Chen and Yuan-Cheng Chang
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This study aims to explore the impact of perceived transformational leadership on knowledge sharing behavior among university teachers in Anhui Province, China. Using a questionnaire survey method, convenient sampling was conducted among college teachers in Anhui Province. With 326 teachers as the research subjects, SPSS software was used to analyze the relationship between teachers' perception of transformational leadership and knowledge sharing behavior in the context of colleges and universities. Additionally, this study compared the impact of demographic variables such as age, teaching experience, and professional title on teachers' knowledge sharing behavior. The research results indicate that Anhui university teachers' perception of transformational leadership has a significant positive impact on knowledge sharing behavior. Moreover, there are significant differences in teachers' knowledge sharing behavior based on their age, teaching experience, and professional titles.
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- 2023
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219. Carbon Reduction Through Building Matrix Design For Sustainable Development
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Li, Bin, primary, Caneparo, Luca, additional, Zhang, Yuqing, additional, and Guo, Weihong, additional
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- 2024
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220. Mitigating Hallucinations in Large Language Models by Preprocessing Questions into Child-Comprehensible
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Fan, Yunlong, Li, Bin, and Gao, Zhiqiang
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Language understanding ,Natural Language Processing ,Semantics ,Syntax ,Large Language Models - Abstract
Alongside the advancement of large language models (LLMs), attention towards their limitations and potential risks has also increased. One common issue is hallucination, which occurs when LLMs generate inaccurate or irrelevant answers, especially for complex sentences. To address this issue, we propose a novel question preprocessing method inspired by how young children comprehend complex sentences. Our method consists of two modules: (1) hierarchical clause annotation (HCA)-based sentence decomposition, which breaks down complex sentences into one-verb-centered clauses, and (2) abstract meaning representation (AMR)-based clause rewriting, which reformulates the clauses based on AMR into the child-comprehensible subject-verb-object (SVO) structure. We evaluate our method on the question-answering dataset, TruthfulQA, and show that it can improve the truthfulness and informativeness of widely-used LLMs, LLaMA-7B, and LLaMA-2-7B-chat, preventing from generating hallucinated answers. Moreover, our method is highly efficient, as it does not require any pre-training, fine-tuning, or invoking larger-scale models.
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- 2024
221. Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks
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Li, Bin, Liu, Wenshuai, Xie, Wancheng, Zhang, Ning, and Zhang, Yan
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Electrical Engineering and Systems Science - Signal Processing - Abstract
In this paper, we study a digital twin (DT)-empowered integrated sensing, communication, and computation network. Specifically, the users perform radar sensing and computation offloading on the same spectrum, while unmanned aerial vehicles (UAVs) are deployed to provide edge computing service. We first formulate a multi-objective optimization problem to minimize the beampattern performance of multi-input multi-output (MIMO) radars and the computation offloading energy consumption simultaneously. Then, we explore the prediction capability of DT to provide intelligent offloading decision, where the DT estimation deviation is considered. To track this challenge, we reformulate the original problem as a multi-agent Markov decision process and design a multi-agent proximal policy optimization (MAPPO) framework to achieve a flexible learning policy. Furthermore, the Beta-policy and attention mechanism are used to improve the training performance. Numerical results show that the proposed method is able to balance the performance tradeoff between sensing and computation functions, while reducing the energy consumption compared with the existing studies., Comment: 14 pages, 11 figures
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- 2023
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222. Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks
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Li, Ziqiang, Xia, Pengfei, Sun, Hong, Zeng, Yueqi, Zhang, Wei, and Li, Bin
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Computer Science - Cryptography and Security ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computers and Society - Abstract
As the number of parameters in Deep Neural Networks (DNNs) scales, the thirst for training data also increases. To save costs, it has become common for users and enterprises to delegate time-consuming data collection to third parties. Unfortunately, recent research has shown that this practice raises the risk of DNNs being exposed to backdoor attacks. Specifically, an attacker can maliciously control the behavior of a trained model by poisoning a small portion of the training data. In this study, we focus on improving the poisoning efficiency of backdoor attacks from the sample selection perspective. The existing attack methods construct such poisoned samples by randomly selecting some clean data from the benign set and then embedding a trigger into them. However, this random selection strategy ignores that each sample may contribute differently to the backdoor injection, thereby reducing the poisoning efficiency. To address the above problem, a new selection strategy named Improved Filtering and Updating Strategy (FUS++) is proposed. Specifically, we adopt the forgetting events of the samples to indicate the contribution of different poisoned samples and use the curvature of the loss surface to analyses the effectiveness of this phenomenon. Accordingly, we combine forgetting events and curvature of different samples to conduct a simple yet efficient sample selection strategy. The experimental results on image classification (CIFAR-10, CIFAR-100, ImageNet-10), text classification (AG News), audio classification (ESC-50), and age regression (Facial Age) consistently demonstrate the effectiveness of the proposed strategy: the attack performance using FUS++ is significantly higher than that using random selection for the same poisoning ratio., Comment: Under Review
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- 2023
223. Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
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Zhuo, Long, Luo, Shenghai, Tan, Shunquan, Chen, Han, Li, Bin, and Huang, Jiwu
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Multimedia - Abstract
Anti-forensics seeks to eliminate or conceal traces of tampering artifacts. Typically, anti-forensic methods are designed to deceive binary detectors and persuade them to misjudge the authenticity of an image. However, to the best of our knowledge, no attempts have been made to deceive forgery detectors at the pixel level and mis-locate forged regions. Traditional adversarial attack methods cannot be directly used against forgery localization due to the following defects: 1) they tend to just naively induce the target forensic models to flip their pixel-level pristine or forged decisions; 2) their anti-forensics performance tends to be severely degraded when faced with the unseen forensic models; 3) they lose validity once the target forensic models are retrained with the anti-forensics images generated by them. To tackle the three defects, we propose SEAR (Self-supErvised Anti-foRensics), a novel self-supervised and adversarial training algorithm that effectively trains deep-learning anti-forensic models against forgery localization. SEAR sets a pretext task to reconstruct perturbation for self-supervised learning. In adversarial training, SEAR employs a forgery localization model as a supervisor to explore tampering features and constructs a deep-learning concealer to erase corresponding traces. We have conducted largescale experiments across diverse datasets. The experimental results demonstrate that, through the combination of self-supervised learning and adversarial learning, SEAR successfully deceives the state-of-the-art forgery localization methods, as well as tackle the three defects regarding traditional adversarial attack methods mentioned above.
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- 2023
224. Precessing jet nozzle connecting to a spinning black hole in M87
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Cui, Yuzhu, Hada, Kazuhiro, Kawashima, Tomohisa, Kino, Motoki, Lin, Weikang, Mizuno, Yosuke, Ro, Hyunwook, Honma, Mareki, Yi, Kunwoo, Yu, Jintao, Park, Jongho, Jiang, Wu, Shen, Zhiqiang, Kravchenko, Evgeniya, Algaba, Juan-Carlos, Cheng, Xiaopeng, Cho, Ilje, Giovannini, Gabriele, Giroletti, Marcello, Jung, Taehyun, Lu, Ru-Sen, Niinuma, Kotaro, Oh, Junghwan, Ohsuga, Ken, Sawada-Satoh, Satoko, Sohn, Bong Won, Takahashi, Hiroyuki R., Takamura, Mieko, Tazaki, Fumie, Trippe, Sascha, Wajima, Kiyoaki, Akiyama, Kazunori, An, Tao, Asada, Keiichi, Buttaccio, Salvatore, Byun, Do-Young, Cui, Lang, Hagiwara, Yoshiaki, Hirota, Tomoya, Hodgson, Jeffrey, Kawaguchi, Noriyuki, Kim, Jae-Young, Lee, Sang-Sung, Lee, Jee Won, Lee, Jeong Ae, Maccaferri, Giuseppe, Melis, Andrea, Melnikov, Alexey, Migoni, Carlo, Oh, Se-Jin, Sugiyama, Koichiro, Wang, Xuezheng, Zhang, Yingkang, Chen, Zhong, Hwang, Ju-Yeon, Jung, Dong-Kyu, Kim, Hyo-Ryoung, Kim, Jeong-Sook, Kobayashi, Hideyuki, Li, Bin, Li, Guanghui, Li, Xiaofei, Liu, Zhiyong, Liu, Qinghui, Liu, Xiang, Oh, Chung-Sik, Oyama, Tomoaki, Roh, Duk-Gyoo, Wang, Jinqing, Wang, Na, Wang, Shiqiang, Xia, Bo, Yan, Hao, Yeom, Jae-Hwan, Yonekura, Yoshinori, Yuan, Jianping, Zhang, Hua, Zhao, Rongbing, and Zhong, Weiye
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Astrophysics of Galaxies - Abstract
The nearby radio galaxy M87 offers a unique opportunity to explore the connections between the central supermassive black hole and relativistic jets. Previous studies of the inner region of M87 revealed a wide opening angle for the jet originating near the black hole. The Event Horizon Telescope resolved the central radio source and found an asymmetric ring structure consistent with expectations from General Relativity. With a baseline of 17 years of observations, there was a shift in the jet's transverse position, possibly arising from an eight to ten-year quasi-periodicity. However, the origin of this sideways shift remains unclear. Here we report an analysis of radio observations over 22 years that suggests a period of about 11 years in the position angle variation of the jet. We infer that we are seeing a spinning black hole that induces the Lense-Thirring precession of a misaligned accretion disk. Similar jet precession may commonly occur in other active galactic nuclei but has been challenging to detect owing to the small magnitude and long period of the variation., Comment: 41 pages, 7 figures, 7 tables
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- 2023
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225. DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions
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Fu, Teng, Wang, Xiaocong, Yu, Haiyang, Niu, Ke, Li, Bin, and Xue, Xiangyang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Multiple object tracking (MOT) tends to become more challenging when severe occlusions occur. In this paper, we analyze the limitations of traditional Convolutional Neural Network-based methods and Transformer-based methods in handling occlusions and propose DNMOT, an end-to-end trainable DeNoising Transformer for MOT. To address the challenge of occlusions, we explicitly simulate the scenarios when occlusions occur. Specifically, we augment the trajectory with noises during training and make our model learn the denoising process in an encoder-decoder architecture, so that our model can exhibit strong robustness and perform well under crowded scenes. Additionally, we propose a Cascaded Mask strategy to better coordinate the interaction between different types of queries in the decoder to prevent the mutual suppression between neighboring trajectories under crowded scenes. Notably, the proposed method requires no additional modules like matching strategy and motion state estimation in inference. We conduct extensive experiments on the MOT17, MOT20, and DanceTrack datasets, and the experimental results show that our method outperforms previous state-of-the-art methods by a clear margin., Comment: ACM Multimedia 2023
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- 2023
226. On the Consistency and Robustness of Saliency Explanations for Time Series Classification
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Balestra, Chiara, Li, Bin, and Müller, Emmanuel
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Computer Science - Machine Learning - Abstract
Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is the traitor to developing intrinsic and model-agnostic interpretation methods. Although model explanation approaches have achieved significant success in vision and natural language domains, explaining time series remains challenging. The complex pattern in the feature domain, coupled with the additional temporal dimension, hinders efficient interpretation. Saliency maps have been applied to interpret time series windows as images. However, they are not naturally designed for sequential data, thus suffering various issues. This paper extensively analyzes the consistency and robustness of saliency maps for time series features and temporal attribution. Specifically, we examine saliency explanations from both perturbation-based and gradient-based explanation models in a time series classification task. Our experimental results on five real-world datasets show that they all lack consistent and robust performances to some extent. By drawing attention to the flawed saliency explanation models, we motivate to develop consistent and robust explanations for time series classification.
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- 2023
227. Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning
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Yu, Haiyang, Wang, Xiaocong, Li, Bin, and Xue, Xiangyang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Scene text recognition has been studied for decades due to its broad applications. However, despite Chinese characters possessing different characteristics from Latin characters, such as complex inner structures and large categories, few methods have been proposed for Chinese Text Recognition (CTR). Particularly, the characteristic of large categories poses challenges in dealing with zero-shot and few-shot Chinese characters. In this paper, inspired by the way humans recognize Chinese texts, we propose a two-stage framework for CTR. Firstly, we pre-train a CLIP-like model through aligning printed character images and Ideographic Description Sequences (IDS). This pre-training stage simulates humans recognizing Chinese characters and obtains the canonical representation of each character. Subsequently, the learned representations are employed to supervise the CTR model, such that traditional single-character recognition can be improved to text-line recognition through image-IDS matching. To evaluate the effectiveness of the proposed method, we conduct extensive experiments on both Chinese character recognition (CCR) and CTR. The experimental results demonstrate that the proposed method performs best in CCR and outperforms previous methods in most scenarios of the CTR benchmark. It is worth noting that the proposed method can recognize zero-shot Chinese characters in text images without fine-tuning, whereas previous methods require fine-tuning when new classes appear. The code is available at https://github.com/FudanVI/FudanOCR/tree/main/image-ids-CTR., Comment: ICCV 2023
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- 2023
228. Orientation-Independent Chinese Text Recognition in Scene Images
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Yu, Haiyang, Wang, Xiaocong, Li, Bin, and Xue, Xiangyang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Scene text recognition (STR) has attracted much attention due to its broad applications. The previous works pay more attention to dealing with the recognition of Latin text images with complex backgrounds by introducing language models or other auxiliary networks. Different from Latin texts, many vertical Chinese texts exist in natural scenes, which brings difficulties to current state-of-the-art STR methods. In this paper, we take the first attempt to extract orientation-independent visual features by disentangling content and orientation information of text images, thus recognizing both horizontal and vertical texts robustly in natural scenes. Specifically, we introduce a Character Image Reconstruction Network (CIRN) to recover corresponding printed character images with disentangled content and orientation information. We conduct experiments on a scene dataset for benchmarking Chinese text recognition, and the results demonstrate that the proposed method can indeed improve performance through disentangling content and orientation information. To further validate the effectiveness of our method, we additionally collect a Vertical Chinese Text Recognition (VCTR) dataset. The experimental results show that the proposed method achieves 45.63% improvement on VCTR when introducing CIRN to the baseline model., Comment: IJCAI 2023
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- 2023
229. Peculiar orbital characteristics of Earth quasi-satellite 469219 Kamo`oalewa: implications for the Yarkovsky detection and orbital uncertainty propagation
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Hu, Shoucun, Li, Bin, Jiang, Haoxuan, Bao, Gang, and Ji, Jianghui
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Astrophysics - Earth and Planetary Astrophysics ,Physics - Space Physics - Abstract
469219 Kamo`oalewa is selected as one of the primary targets of Tianwen-2 mission, which is currently believed to be the most stable quasi-satellite of Earth. Here we derive a weak detection of the Yarkovsky effect for Kamo`oalewa, giving $A_2 = -1.075\pm0.447\times 10^{-13} \rm{au/d}^2$, with the available ground-based optical observations from Minor Planet Center and a relatively conservative weighting scheme. Due to the quasi-satellite resonance with Earth, we show that the detection of Yarkovsky effect by orbital fitting with astrometric observations becomes difficult as its orbital drift shows a slow oscillatory growth resulting from the Yarkovsky effect. In addition, we extensively explore the characteristics of orbital uncertainty propagation and find that the positional uncertainty mainly arises from the geocentric radial direction in 2010-2020, and then concentrates in the heliocentric transverse direction in 2020-2030. Furthermore, the heliocentric transverse uncertainty is clearly monthly dependent, which can arrive at a minimum around January and a maximum around July as the orbit moves towards the leading and trailing edges, respectively, in 2025-2027. Finally, we investigate a long-term uncertainty propagation in the quasi-satellite regime, implying that the quasi-satellite resonance with Earth may play a crucial role in constraining the increase of uncertainty over time. Such interesting feature further implies that the orbital precision of Kamo`oalewa is relatively stable at its quasi-satellite phase, which may also be true for other quasi-satellites of Earth., Comment: 15 pages, 11 figures, accepted for publication in AJ
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- 2023
230. Robust Computation Offloading and Trajectory Optimization for Multi-UAV-Assisted MEC: A Multi-Agent DRL Approach
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Li, Bin, Yang, Rongrong, Liu, Lei, Wang, Junyi, Zhang, Ning, and Dong, Mianxiong
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Electrical Engineering and Systems Science - Signal Processing - Abstract
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks. Specifically, we consider that the MEC network encompasses both communication and computation uncertainties, where the partial channel state information and the inaccurate estimation of task complexity are only available. We introduce a robust design accounting for these uncertainties and minimize the total weighted energy consumption by jointly optimizing UAV trajectory, task partition, as well as the computation and communication resource allocation in the multi-UAV scenario. The formulated problem is challenging to solve with the coupled optimization variables and the high uncertainties. To overcome this issue, we reformulate a multi-agent Markov decision process and propose a multi-agent proximal policy optimization with Beta distribution framework to achieve a flexible learning policy. Numerical results demonstrate the effectiveness and robustness of the proposed algorithm for the multi-UAV-assisted MEC network, which outperforms the representative benchmarks of the deep reinforcement learning and heuristic algorithms., Comment: 12 pages, 10 figures
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- 2023
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231. Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
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Wang, Qizao, Qian, Xuelin, Li, Bin, Fu, Yanwei, and Xue, Xiangyang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Person Re-IDentification (Re-ID) as a retrieval task, has achieved tremendous development over the past decade. Existing state-of-the-art methods follow an analogous framework to first extract features from the input images and then categorize them with a classifier. However, since there is no identity overlap between training and testing sets, the classifier is often discarded during inference. Only the extracted features are used for person retrieval via distance metrics. In this paper, we rethink the role of the classifier in person Re-ID, and advocate a new perspective to conceive the classifier as a projection from image features to class prototypes. These prototypes are exactly the learned parameters of the classifier. In this light, we describe the identity of input images as similarities to all prototypes, which are then utilized as more discriminative features to perform person Re-ID. We thereby propose a new baseline ProNet, which innovatively reserves the function of the classifier at the inference stage. To facilitate the learning of class prototypes, both triplet loss and identity classification loss are applied to features that undergo the projection by the classifier. An improved version of ProNet++ is presented by further incorporating multi-granularity designs. Experiments on four benchmarks demonstrate that our proposed ProNet is simple yet effective, and significantly beats previous baselines. ProNet++ also achieves competitive or even better results than transformer-based competitors.
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- 2023
232. Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
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Wang, Qizao, Qian, Xuelin, Li, Bin, Xue, Xiangyang, and Fu, Yanwei
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Cloth-changing person Re-IDentification (Re-ID) is a particularly challenging task, suffering from two limitations of inferior discriminative features and limited training samples. Existing methods mainly leverage auxiliary information to facilitate identity-relevant feature learning, including soft-biometrics features of shapes or gaits, and additional labels of clothing. However, this information may be unavailable in real-world applications. In this paper, we propose a novel FIne-grained Representation and Recomposition (FIRe$^{2}$) framework to tackle both limitations without any auxiliary annotation or data. Specifically, we first design a Fine-grained Feature Mining (FFM) module to separately cluster images of each person. Images with similar so-called fine-grained attributes (e.g., clothes and viewpoints) are encouraged to cluster together. An attribute-aware classification loss is introduced to perform fine-grained learning based on cluster labels, which are not shared among different people, promoting the model to learn identity-relevant features. Furthermore, to take full advantage of fine-grained attributes, we present a Fine-grained Attribute Recomposition (FAR) module by recomposing image features with different attributes in the latent space. It significantly enhances robust feature learning. Extensive experiments demonstrate that FIRe$^{2}$ can achieve state-of-the-art performance on five widely-used cloth-changing person Re-ID benchmarks. The code is available at https://github.com/QizaoWang/FIRe-CCReID., Comment: Accepted by IEEE TIFS 2024
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- 2023
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233. Localized High-Concentration Electrolytes Get More Localized Through Micelle-Like Structures
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Efaw, Corey M., Wu, Qisheng, Gao, Ningshengjie, Zhang, Yugang, Zhou, Haoyu, Gering, Kevin, Hurley, Michael F., Xiong, Hui, Hu, Enyuan, Cao, Xia, Xu, Wu, Zhang, Ji-Guang, Dufek, Eric J., Xiao, Jie, Yang, Xiao-Qing, Liu, Jun, Qi, Yue, and Li, Bin
- Subjects
Condensed Matter - Materials Science - Abstract
Liquid electrolytes in batteries are typically treated as macroscopically homogeneous ionic transport media despite having complex chemical composition and atomistic solvation structures, leaving a knowledge gap of microstructural characteristics. Here, we reveal a unique micelle-like structure in a localized high-concentration electrolyte (LHCE), in which the solvent acts as a surfactant between an insoluble salt in diluent. The miscibility of the solvent with the diluent and simultaneous solubility of the salt results in a micelle-like structure with a smeared interface and an increased salt concentration at the centre of the salt-solvent clusters that extends the salt solubility. These intermingling miscibility effects have temperature dependencies, wherein an exemplified LHCE peaks in localized cluster salt concentration near room temperature and is utilized to form a stable solid-electrolyte interphase (SEI) on Li-metal anode. These findings serve as a guide to predicting a stable ternary phase diagram and connecting the electrolyte microstructure with electrolyte formulation and formation protocols to form stable SEI for enhanced battery cyclability.
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- 2023
234. ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
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Lu, Jiucui, Zhou, Jiaran, Dong, Junyu, Li, Bin, Lyu, Siwei, and Li, Yuezun
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Computer Science - Computer Vision and Pattern Recognition - Abstract
The prominent progress in generative models has significantly improved the reality of generated faces, bringing serious concerns to society. Since recent GAN-generated faces are in high realism, the forgery traces have become more imperceptible, increasing the forensics challenge. To combat GAN-generated faces, many countermeasures based on Convolutional Neural Networks (CNNs) have been spawned due to their strong learning ability. In this paper, we rethink this problem and explore a new approach based on forest models instead of CNNs. Specifically, we describe a simple and effective forest-based method set called {\em ForensicsForest Family} to detect GAN-generate faces. The proposed ForensicsForest family is composed of three variants, which are {\em ForensicsForest}, {\em Hybrid ForensicsForest} and {\em Divide-and-Conquer ForensicsForest} respectively. ForenscisForest is a newly proposed Multi-scale Hierarchical Cascade Forest, which takes semantic, frequency and biology features as input, hierarchically cascades different levels of features for authenticity prediction, and then employs a multi-scale ensemble scheme that can comprehensively consider different levels of information to improve the performance further. Based on ForensicsForest, we develop Hybrid ForensicsForest, an extended version that integrates the CNN layers into models, to further refine the effectiveness of augmented features. Moreover, to reduce the memory cost in training, we propose Divide-and-Conquer ForensicsForest, which can construct a forest model using only a portion of training samplings. In the training stage, we train several candidate forest models using the subsets of training samples. Then a ForensicsForest is assembled by picking the suitable components from these candidate forest models..., Comment: To Appear in IEEE TIFS 2024
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- 2023
235. Single-cell analysis of chromatin accessibility in the adult mouse brain
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Zu, Songpeng, Li, Yang Eric, Wang, Kangli, Armand, Ethan J, Mamde, Sainath, Amaral, Maria Luisa, Wang, Yuelai, Chu, Andre, Xie, Yang, Miller, Michael, Xu, Jie, Wang, Zhaoning, Zhang, Kai, Jia, Bojing, Hou, Xiaomeng, Lin, Lin, Yang, Qian, Lee, Seoyeon, Li, Bin, Kuan, Samantha, Liu, Hanqing, Zhou, Jingtian, Pinto-Duarte, Antonio, Lucero, Jacinta, Osteen, Julia, Nunn, Michael, Smith, Kimberly A, Tasic, Bosiljka, Yao, Zizhen, Zeng, Hongkui, Wang, Zihan, Shang, Jingbo, Behrens, M Margarita, Ecker, Joseph R, Wang, Allen, Preissl, Sebastian, and Ren, Bing
- Subjects
Biochemistry and Cell Biology ,Bioinformatics and Computational Biology ,Genetics ,Biological Sciences ,Stem Cell Research ,Neurosciences ,Biotechnology ,Underpinning research ,1.1 Normal biological development and functioning ,Neurological ,Animals ,Humans ,Mice ,Brain ,Cerebral Cortex ,Chromatin ,Deep Learning ,DNA Transposable Elements ,Gene Regulatory Networks ,Neurons ,Single-Cell Analysis ,General Science & Technology - Abstract
Recent advances in single-cell technologies have led to the discovery of thousands of brain cell types; however, our understanding of the gene regulatory programs in these cell types is far from complete1-4. Here we report a comprehensive atlas of candidate cis-regulatory DNA elements (cCREs) in the adult mouse brain, generated by analysing chromatin accessibility in 2.3 million individual brain cells from 117 anatomical dissections. The atlas includes approximately 1 million cCREs and their chromatin accessibility across 1,482 distinct brain cell populations, adding over 446,000 cCREs to the most recent such annotation in the mouse genome. The mouse brain cCREs are moderately conserved in the human brain. The mouse-specific cCREs-specifically, those identified from a subset of cortical excitatory neurons-are strongly enriched for transposable elements, suggesting a potential role for transposable elements in the emergence of new regulatory programs and neuronal diversity. Finally, we infer the gene regulatory networks in over 260 subclasses of mouse brain cells and develop deep-learning models to predict the activities of gene regulatory elements in different brain cell types from the DNA sequence alone. Our results provide a resource for the analysis of cell-type-specific gene regulation programs in both mouse and human brains.
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- 2023
236. Activity Pattern and Habitat Use of Shorebirds in an Artificial Wetland Complex: A Case Study of Breeding Pied Avocet in the Yellow River Delta, China
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Li, Dong, Li, Bin, Xu, He, Fan, Chao, Wu, Yang, Zhang, Yuxin, and Hou, Xiyong
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- 2024
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237. Numerical and Experimental Research on Diffusion Characteristic of Polymer Slurry in Narrow Slot at Constant Pressure
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Fang, Hongyuan, Wang, Lei, Du, Xueming, Li, Bin, Xue, Binghan, and Wang, Shanyong
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- 2024
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238. Influence of environmental and nutritional conditions on yeast–mycelial dimorphic transition in Trichosporon cutaneum
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Li Bin Zhu, Ya Wang, Zhi Bin Zhang, Hui Lin Yang, Ri Ming Yan, and Du Zhu
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Trichosporon cutaneum ,dimorphism ,morphology ,yeast ,filamentous fungi ,external stimuli ,Biotechnology ,TP248.13-248.65 - Abstract
Trichosporon cutaneum is able to metabolize high hydrophobic natural compounds such as fatty acids and also can be used as an effective biodegrader to remove a number of toxic aromatic compounds from the environment. However, its growth characteristics were poorly investigated and no yeast–mycelium dimorphism process has been established yet. In the present study, we provided first insights into the effect of nitrogen sources, carbon source, and amino acids together with pH and temperature on morphological switch of T. cutaneum B3. The results showed under close to neutral or weakly alkaline pH conditions, T. cutaneum B3 produced mostly yeast-like cells; while under acidic pH conditions, it produced mostly hyphal-like cells. Under buffered conditions, low nitrogen concentration (1%) would induce hyphal-like cells. Under non-buffered conditions, ammonium sulphate, diammonium phosphate, urea and N-acetylglucosamine may via alteration of environmental pH affect yeast–mycelium dimorphism transitions. Methionine, tryptophan and histidine invariably induce pseudohyphal or hyphal morphology. 25 and 28 °C can promote yeast-like cells growth, while cultivated at 37 °C can induce hyphal-like cells growth. Thus, the nitrogen source, alteration of environmental pH and temperature of cultivation played an important role in inducing yeast–mycelium dimorphism transition. Our study confirms the yeast–mycelium dimorphism process of T. cutaneum B3 and highlights that it seems to be a suitable yeast model for further molecular genetics investigation of dimorphism and applications in fermentation morphology engineering.
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- 2017
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239. OPTIMIZATION ANALYSIS OF THE SCROLL EXPANDER SPECIAL TOP PROFILE CORRECTION IN THE INLET PORT
- Author
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JIA JianPing, LI YuFeng, LIU GuoPing, ZHANG GuoLin, and LI Bin
- Subjects
Special top profile correction ,Inlet port power loss ,Invasion rate ,Inlet port roundness ,Mechanical engineering and machinery ,TJ1-1570 ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The study has been done with focus on the pneumatic power conversion efficiency by analyzing Perfect Meshing Profile( PMP) correction of the scroll expander with the serious top profile invasion of the inlet port problem in application. The maximal invasion rate reaches 50%,which leads to the increase of inlet air flow friction coefficient. Therefore,on the basis of the circular arc plus line-shaped top profile correction,special correction method for the top profile was proposed. According to the feature of special top profile correction method,it comes to a conclusion that special top profile correction has low invasion rate( the maximum only was 9%) and airflow friction coefficient of the inlet port decreases. In addition,in the intake process,at any time the actual inlet port can remain relatively smoothly,therefore reducing the airstream friction coefficient and the inlet port power loss. And what’s more,symmetric synchronous inflation of scroll expander has been accomplished,and consequently the results are smooth power delivery with reducing the mechanical vibration. Theoretically,the scroll expander pneumatic power conversion efficiency has been improved by reducing inlet port inflation power loss.
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- 2017
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240. SEALING STRUCTURE RESEARCH ON RUBBER OF THE COMPRESSION OPEN HOLE PACKER
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LI Bin, ZHANG DongYang, LI Qiang, SHEN HuanYu, and YANG Shuang
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Staged fracturing ,Compression ,Open hole packer ,Rubber ,Sealing structure ,Mechanical engineering and machinery ,TJ1-1570 ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The compression open hole packer was one of the core parts of horizontal well open hole staged fracturing completion technology. Due to working in an environment of high temperature,high pressure and complex and deep stratum,the packer setting often turned to low pressure and losed efficacy earlier. The main reason was that the sealing structures of the packer were unreasonable,which reducing the contact stress between rubber and well wall. Based on the elasticity theory,the maximum contact pressure of packer rubber setting was derived and a new sealing structure of compression open hole packer was constructed which consisted of four-rubbers. By using ABAQUS,the contact stress distribution between conventional and new combined rubbers were comparativelly analyzed in the same condition,and the head face bevel of new type combined rubbers was optimized.In the end,the effects on contact stress of new type combined rubber tube caused by friction factor were discussed. The analytical result shows that the new sealing structure could transfer the setting force to sealing rubbers more effectively,and the contact stress significantly increased and distributed more evenly,which ensuring the reliability of the sealing rubber.
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- 2017
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241. Repair and Test Method Discussion of Drum Filter Worm Gearbox Driving Device
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Gao Lihong, Li Bin, Peng Jian, Wang Zhenshan, and Yang Pengliang
- Subjects
Drum filter drive device ,Worm gearbox combination ,Repair ,Test-bed ,Method discuss ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
Abstract The combination of worm gear box used for drum filter drive device is a precedent for nuclear power plants in China. By mapping the combination of old worm gearbox used for drum filter drive device,the repair scheme is formulated,different experiments are performed in different ways,the test results meet the requirements. The experience in the repair and test data are summarized,a reference for formulating acceptance specification of nuclear power plant repair is provided,for this purpose,the special test bench is built,a domestic blank is filled.
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- 2017
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242. Crystal structure of 3-(2-methylbenzyl)thiazolidin-2-one, C11H13ONS
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Lin Qiao, Lin Zirui, Chen Xiuwen, and Li Bin
- Subjects
1912357 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C11H13ONS, monoclinic, P21/c (no. 14), a = 8.0795(6) Å, b = 7.2294(5) Å, c = 17.5898(14) Å, β = 98.354(8)°, V = 1016.52(13) Å3, Z = 4, Rgt(F) = 0.0332, wRref(F2) = 0.0825, T = 120.00(10) K.
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- 2020
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243. Probabilistic analysis of payback period for AC–DC transmission and distribution asset expansion projects
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Li Bin, Muhammad Shahzad, Qi Bing, Muhammad U. Shoukat, Nabeel A.M. Fahal, Patrobers Simiyu, and Rabiul Islam
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probability ,costing ,Gaussian distribution ,power transmission economics ,DC transmission networks ,power distribution economics ,statistical distribution ,benefit analysis ,probability distribution function analysis ,distribution asset expansion projects ,payback period analysis ,AC–DC transmission calculation ,correlated input cost coefficients ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
In this study, a new concept of statistical distribution of payback period is calculated for AC–DC transmission and distribution asset expansion projects. For calculation of the payback period, uncertainty is considered with cost and benefit. The Gaussian distribution is considered for correlated input cost and benefit variates. For more examination point of view, the distribution of the payback period is calculated with different correlation coefficients between cost and benefit. The main advantage of this study is to draw the probability distribution function of the payback period in terms of cost and benefit because most of the industrialist are often interested in cost and benefit analysis of AC–DC transmission and distribution asset expansion projects. An example is considered for evaluation of the proposed model.
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- 2019
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244. Fault diagnosis of ship fuel system based on DPC-GMM algorithm
- Author
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WEI Yi, ZHANG Yuewen, and LI Bin
- Subjects
fault diagnosis ,Gaussian Mixture Model(GMM) ,Expectation Maximum(EM) ,Density Peaks Clustering(DPC) ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 - Abstract
[Objectives] The traditional Gaussian Mixture Model(GMM)has the inherent shortcoming of slow convergence which can easily lead to over-fitting and cause the parameter calculation to fall into a local optimum. As such,it is not suitable for the fault diagnosis of marine fuel systems.[Methods] A fault diagnosis method for a ship fuel system based on the DPC-GMM algorithm is proposed. First,the GMM and parameter estimation algorithms are analyzed. Combined with the Density Peaks Clustering(DPC) algorithm,GMM parameters corresponding to the state of the fuel system of ship are calibrated to achieve the unsupervised diagnosis of the failure of a ship's fuel system. Based on the obtained fuel system failure data,the proposed method is verified.[Results] The experimental results show that this method has higher recognition accuracy and faster recognition speed than the traditional Back Propagation(BP)neural network and Support Vector Machine(SVM) diagnosis algorithm.[Conclusions] The analysis results have important guiding significance for the fault diagnosis of marine fuel systems.
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- 2018
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245. Research on the RBF-PID control method for the motor actuator used in a UHV GIS disconnector
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Shi Kejian, Li Bin, Wang Feiming, Zhang Bin, Luo Wei, and Deng Jiale
- Subjects
gas insulated switchgear ,learning (artificial intelligence) ,three-term control ,neurocontrollers ,radial basis function networks ,radial basis function-based proportional-integral-derivative control method ,motor actuator ,550 kV gas-insulated switchgear ,dynamic mathematical model ,RBF neural network ,gradient descent method ,control system ,tracking control characteristics ,servo following error ,double-loop PID ,computational experiment methods ,550 kV GIS disconnector ,RFB-PID control method ,controllability ,RBF-PID control method ,UHV GIS disconnector ,reliability ,intelligent level ,AC transmission system ,voltage 550.0 kV ,velocity 0.1 m/s ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
To improve the reliability and intelligent level of the AC transmission system, the radial basis function-based proportional-integral-derivative (RBF-PID) control method for the motor actuator used in the 550 kV gas-insulated switchgear (GIS) disconnector is proposed. According to the dynamic mathematical model of the motor actuator, the main structure of the RBF neural network based on the gradient descent method for learning algorithm is constructed. An identification function is formed by taking values of the output error square, and then by gathering information on the real-time tuning parameters of PID. Based on that, the simulation of the control system is constructed. The comparative analyses of the tracking control characteristics and the servo following error of the disconnector's contact speed between double-loop PID and RBF-PID are done through the computational and experiment methods, respectively. The results show that 550 kV GIS disconnector with the motor actuator by the RFB-PID control method has better controllability, and the servo following error is controlled within 0.1 m/s.
- Published
- 2018
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246. The impact of the simple orifice schemes of the buffer device in boom refuelling system in the transient pressure of the pipeline
- Author
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Dong Zhangzhi, Li Xiaogang, Hou Yanyan, Li Bin, and He Yujuan
- Subjects
Environmental sciences ,GE1-350 - Abstract
The boom refuelling system has a large refueling flow, and the refueling joint when the refueling is interrupted in an emergency will cause pressure shock and pressure pulsation. In severe cases, it will cause vibration of the pipeline system, reduce system reliability, and seriously endanger flight safety. Adding a device similar to an accumulator at the end of the pipeline where pressure shock occurs can well absorb the shock pressure. This paper uses a certain type of aircraft as a background to simulate the construction of a rigid air refueling pipeline system with a buffer device. The emphasis is on the pressure shock suppression characteristics of the buffer device. The simulation analysis of the opening parameters of the expansion cavity entrance includes the number and size of the buffer device. The impact of pressure shock performance. The results show that: the more openings and the larger the pore size, the larger the first pressure peak and the smaller the second pressure peak; while increasing the total flow area can effectively reduce the pressure shock suppression effect of the buffer device.
- Published
- 2021
- Full Text
- View/download PDF
247. Research on Innovative Strategies of Accurate Development Model of Regional Agricultural Economy under Big Data Coordination
- Author
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Li Bin and Yang Ni
- Subjects
Environmental sciences ,GE1-350 - Abstract
This article will analyze the correlation between big data and regional agricultural economic development on the basis of fully understanding the connotation and characteristics of big data technology. Then, we should use its concept and related technologies and operating models to realize the precise operation guidance of multiple links such as agricultural product planting, selection, planting, farm management, harvesting and storage, and marketing. Through the integration of big data and local advantageous agricultural resources, it is possible to build a fusion and innovation mechanism based on big data, and build an open, intelligent, and intensive precision agriculture development format. This can accelerate the realization of agricultural informatization and modernization, and promote the innovative development of regional agricultural economy.
- Published
- 2021
- Full Text
- View/download PDF
248. Evaluation of Coupling and Coordinated Development of Marine Economic Policy and Marine Service Industry
- Author
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Lv Zuoliang and Li Bin
- Subjects
Environmental sciences ,GE1-350 - Abstract
This article studies the coordinated development of marine economic policy and marine service industry by constructing a system for evaluating marine economic policy and marine service industry indicators and applying a coupled coordination degree model, and analyzes its development laws. The research shows that the coordinated development level of marine economic policy and marine service industry is on the rise, the interaction level among the elements in the system is enhanced, the cyclic cumulative causal effect and cluster advantage are enhanced, and the coordinated development level is adjusted from primary imbalance to primary coordination. Under the comprehensive effect of the stable curve law of the development of marine economic policies and the stable rising law of the development of marine service industry, the development of marine service industry is in good condition, and the development of marine economic policies lags behind. To further promote the high-quality development of marine service industry, the government can strengthen Guide the connection between the main factors of the two systems and the positive and dynamic response to further promote the coordinated development of the two.
- Published
- 2021
- Full Text
- View/download PDF
249. Dynamic influence of the plane curve radius on vertical- circular overlapping lines of high-speed railway
- Author
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Fan Xianghui, Li Bin, Zhang Yongfu, Du Guoqiang, and Liu Hua
- Subjects
Environmental sciences ,GE1-350 - Abstract
In order to reasonably match the horizontal and vertical sections of high-speed railway lines, the vehicle-line spatial coupling model of the vertical-circular overlapping line is established, based on the multi-body dynamics simulation software SIMPACK,. The dynamic indexes of train passing through vertical-circular overlapping lines are calculated when the radii of different plane curves match the corresponding superelevation value. The results show that: on the vertical-circular overlapping line, it is suggested that the maximum plane curve radius is 9000m.The existence of the convex vertical-circular overlapping line worsens the safety of train operation and passenger comfort. The existence of the concave vertical-circular overlapping line is the opposite, but it increases rail wear and the workload of maintenance. The vertical-circular overlapping line has the most obvious influence on the vertical acceleration and the vertical Sperling index of the body. The vertical acceleration of the body is superimposed at the plane gentle circle point and the starting point of the vertical curve, which has a great impact on the stability of the train operation.
- Published
- 2021
- Full Text
- View/download PDF
250. Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas
- Author
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Zhang Yangyang, Li Bin, Deng Youxiong, Lian Chunjie, and Wang Jingde
- Subjects
Environmental sciences ,GE1-350 - Abstract
Water and electricity supply for irrigation is difficult in remote mountainous areas. This paper explores agricultural irrigation systems’ integration mechanism, pumped storage power plants, and renewable power sources in mountainous areas to solve this problem. It establishes a microgrid power supply system with multiple complementary energy sources according to local conditions. By analyzing the load of agricultural irrigation in mountainous areas, the irrigation water consumption and electricity consumption are obtained. The capacity of pumped storage power stations, wind power, and photovoltaic power generation in the microgrid can be configured accordingly. They use the renewable power supply active power fluctuation rate index as a constraint and use the spectrum analysis method to calibrate the capacity configuration results. Finally, the scenic storage microgrid model is constructed and solved to minimize the microgrid’s grid connection cost. The algorithm shows that the proposed capacity allocation method can meet the irrigation load demand and realize the microgrid’s coordinated operation.
- Published
- 2021
- Full Text
- View/download PDF
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