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ELASTIC WAVE LOCALIZATION IN TWO-DIMENSIONAL PHONONIC CRYSTALS WITH ONE-DIMENSIONAL QUASI-PERIODICITY AND RANDOM DISORDER 认领 引用 被引量：9
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作者 Ali Chen Yuesheng Wang +2 位作者 Guilan Yu Yafang Guo Zhengdao Wang 《Acta Mechanica Solida Sinica》 SCIE EI 2008年第6期517-528,共12页
The band structures of both in-plane and anti-plane elastic waves propagating in two-dimensional ordered and disordered （in one direction） phononic crystals are studied in this paper. The localization of wave propag... The band structures of both in-plane and anti-plane elastic waves propagating in two-dimensional ordered and disordered （in one direction） phononic crystals are studied in this paper. The localization of wave propagation due to random disorder is discussed by introducing the concept of the localization factor that is calculated by the plane-wave-based transfer-matrix method. By treating the quasi-periodicity as the deviation from the periodicity in a special way, two kinds of quasi phononic crystal that has quasi-periodicity （Fibonacci sequence） in one direction and translational symmetry in the other direction are considered and the band structures are characterized by using localization factors. The results show that the localization factor is an effective parameter in characterizing the band gaps of two-dimensional perfect, randomly disordered and quasi-periodic phononic crystals. Band structures of the phononic crystals can be tuned by different random disorder or changing quasi-periodic parameters. The quasi phononic crystals exhibit more band gaps with narrower width than the ordered and randomly disordered systems. 展开更多
关键词 phononic crystal quasi phononic crystal disorder localization factors plane-wavebased transfer-matrix method periodic average structure
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Wave localization in randomly disordered periodic layered piezoelectric structures 认领 引用 被引量：11
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作者 Fengming Li Yuesheng Wang +1 位作者 Chao Hu Wenhu Huang 《Acta Mechanica Sinica》 SCIE EI CAS 2006年第6期559-567,共9页
Considering the mechnoelectrical coupling, the localization of SH-waves in disordered periodic layered piezoelectric structures is studied. The waves propagating in directions normal and tangential to the layers are c... Considering the mechnoelectrical coupling, the localization of SH-waves in disordered periodic layered piezoelectric structures is studied. The waves propagating in directions normal and tangential to the layers are considered. The transfer matrices between two consecutive unit cells are obtained according to the continuity conditions. The expressions of localization factor and localization length in the disordered periodic structures are presented. For the disordered periodic piezoelectric structures, the numerical results of localization factor and localization length are presented and discussed. It can be seen from the results that the frequency passbands and stopbands appear for the ordered periodic structures and the wave localization phenomenon occurs in the disordered periodic ones, and the larger the coefficient of variation is, the greater the degree of wave localization is. The widths of stopbands in the ordered periodic structures are very narrow when the properties of the consecutive piezoelectric materials are similar and the intervals of stopbands become broader when a certain material parameter has large changes. For the wave propagating in the direction normal to the layers the localization length has less dependence on the frequency, but for the wave propagating in the direction tangential to the layers the localization length is strongly dependent on the frequency. 展开更多
关键词 Disordered periodic layered piezoelectric structures Transfer matrix Lyapunov exponent Localization factor Localization length
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WAVE LOCALIZATION IN RANDOMLY DISORDERED PERIODIC PIEZOELECTRIC RODS WITH INITIAL STRESS 认领 引用 被引量：7
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作者 Yize Wang Fengming Li +2 位作者 Kikuo Kishimoto Yuesheng Wang Wenhu Huang 《Acta Mechanica Solida Sinica》 SCIE EI 2008年第6期529-535,共7页
The elastic wave localization in disordered periodic piezoelectric rods with initial stress is studied using the transfer matrix and Lyapunov exponent method. The electric field is approximated as quasi-static. The ef... The elastic wave localization in disordered periodic piezoelectric rods with initial stress is studied using the transfer matrix and Lyapunov exponent method. The electric field is approximated as quasi-static. The effects of the initial stress on the band gap characteristics are investigated. The numerical calculations of localization factors and localization lengths are performed. It can be observed from the results that the band structures can be tuned by exerting the suitable initial stress. For different values of the piezoelectric rod length and the elastic constant, the band structures and the localization phenomena are very different. Larger disorder degree can lead to more obvious localization phenomenon. 展开更多
关键词 piezoelectric phononic crystal initial stress random disorder localization factor,localization length
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One-Dimensional Localization of Elastic Waves in Rib-Stiffened Plates 认领 引用 被引量：2
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作者 李凤明 胡超 黄文虎 《Chinese Journal of Aeronautics》 EI CAS 2002年第4期208-212,共5页
The 1 dimensional localization of elastic waves in disordered periodic multi span rib stiffened plates is investigated. The transfer matrix method is employed to obtain the transfer matrix of the system, and the metho... The 1 dimensional localization of elastic waves in disordered periodic multi span rib stiffened plates is investigated. The transfer matrix method is employed to obtain the transfer matrix of the system, and the method for calculating the Lyapunov exponents in continuous dynamic systems presented by Wolf is used to determine the localization factor. As examples, the numerical results of the localization factors are given for a disordered rib stiffened plate. The effects of the degree of disorder of span... 展开更多
关键词 rib stiffened plate wave localization transfer matrix method Lyapunov exponent localization factor
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Coupled hydromechanical elastoplastic framework to assess stress state and stability of unsaturated soil 认领 引用
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作者 ZHANG Yafen ZHU Yulong +2 位作者 ZHOU Yang LIU Hongxi SUN Benbo 《Journal of Mountain Science》 SCIE CSCD 2026年第4期1821-1833,共13页
In the conventional local factor of safety(LFS)method,the Mohr’s circle for stress(MCS)is assumed to shift leftward along the stress axis while maintaining a constant radius as matric suction decreases.It leads to co... In the conventional local factor of safety(LFS)method,the Mohr’s circle for stress(MCS)is assumed to shift leftward along the stress axis while maintaining a constant radius as matric suction decreases.It leads to considerable errors in slope stability assessment under low suction conditions.To improve the accuracy of the LFS method at small matric suction,this paper proposes a coupled hydromechanical elastoplastic framework for evaluating the stress state and stability of each point within unsaturated soil.Based on a validation model utilizing a soil column sample,the simulated and experimental shear strengths under different matric suction(MS)levels are compared.Results show that the proposed framework can reproduce the shear strength of unsaturated soil obtained from the experiments.Subsequently,the coupled framework is applied to simulate a two-dimensional(2D)homogeneous slope model.The simulations demonstrate that at high MS,the radius of the MCS does not change.However,at small MS,the radius of the MCS increases significantly as it shifts leftward along the stress axis.This indicates an amplification effect of MCS(ranging from 21.5%to 25.7%)in unsaturated soil under small matric suction.Based on the correlation between shear stress and MS,three intervals of the MCS variation are identified:the reduction zone(RZ),amplification zone(AZ),and translation zone(TZ).A comparative analysis with two conventional methods,the shear strength reduction technique(SSRT)and the limit equilibrium method(LEM),demonstrates that the LFS method holds potential advantages for slope stability assessment and the analysis of collapse evolution in soils. 展开更多
关键词 Local factor of safety method Coupled hydromechanical framework Elastoplastic mechanical model Mohr’s circle for stress
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A comparative study of wave localization in locally resonant Thue–Morse, Rudin–Shapiro and Period-Doubling aperiodic structures 认领 引用
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作者 Zhizhong Yan Yangyang Wang Chuanzeng Zhang 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2017年第3期271-284,共14页
The localization characteristics of the in-plane elastic waves in locally resonant aperiodic phononic crystals are examined in this study. In particular, the phononic crystals generated according to the Thue-Morse, Ru... The localization characteristics of the in-plane elastic waves in locally resonant aperiodic phononic crystals are examined in this study. In particular, the phononic crystals generated according to the Thue-Morse, Rudin-Shapiro and Period-Doubling sequences are theoretically investigated by using the extended transfer matrix method. For comparison, the binary and ternary locally resonant systems are considered, and their band structures are characterized by using the localization factors. Moreover, the influences of structural arrangement, material combination, incidence angle, number of components, length ratio, and random disorder on the band structures are also discussed. Some novel and interesting phenomena are observed and discussed. 展开更多
关键词 Phononic crystals Aperiodicity Wave localization Localization factor Transfer matrix method
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Obtaining Profiles Based on Localized Non-negative Matrix Factorization 认领 引用 被引量：2
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作者 JIANGJi-xiang XUBao-wen +1 位作者 LUJian-jiang ZhouXiao-yu 《Wuhan University Journal of Natural Sciences》 EI CAS 2004年第5期580-584,共5页
Nonnegative matrix factorization (NMF) is a method to get parts-based features of information and form the typical profiles. But the basis vectors NMF gets are not orthogonal so that parts-based features of informatio... Nonnegative matrix factorization (NMF) is a method to get parts-based features of information and form the typical profiles. But the basis vectors NMF gets are not orthogonal so that parts-based features of information are usually redundancy. In this paper, we propose two different approaches based on localized non-negative matrix factorization (LNMF) to obtain the typical user session profiles and typical semantic profiles of junk mails. The LNMF get basis vectors as orthogonal as possible so that it can get accurate profiles. The experiments show that the approach based on LNMF can obtain better profiles than the approach based on NMF. Key words localized non-negative matrix factorization - profile - log mining - mail filtering CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (60373066, 60303024), National Grand Fundamental Research 973 Program of China (2002CB312000), National Research Foundation for the Doctoral Program of Higher Education of China (20020286004).Biography: Jiang Ji-xiang (1980-), male, Master candidate, research direction: data mining, knowledge representation on the Web. 展开更多
关键词 localized non-negative matrix factorization profile log mining mail filtering
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Anomaly IoT Node Detection Based on Local Outlier Factor and Time Series 认领 引用 被引量：2
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作者 Fang Wang Zhe Wei Xu Zuo 《Computers, Materials & Continua》 SCIE EI 2020年第8期1063-1073,共11页
The heterogeneous nodes in the Internet of Things(IoT)are relatively weak in the computing power and storage capacity.Therefore,traditional algorithms of network security are not suitable for the IoT.Once these nodes ... The heterogeneous nodes in the Internet of Things(IoT)are relatively weak in the computing power and storage capacity.Therefore,traditional algorithms of network security are not suitable for the IoT.Once these nodes alternate between normal behavior and anomaly behavior,it is difficult to identify and isolate them by the network system in a short time,thus the data transmission accuracy and the integrity of the network function will be affected negatively.Based on the characteristics of IoT,a lightweight local outlier factor detection method is used for node detection.In order to further determine whether the nodes are an anomaly or not,the varying behavior of those nodes in terms of time is considered in this research,and a time series method is used to make the system respond to the randomness and selectiveness of anomaly behavior nodes effectively in a short period of time.Simulation results show that the proposed method can improve the accuracy of the data transmitted by the network and achieve better performance. 展开更多
关键词 Local outlier factor time series Internet of Things anomaly node detection
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Three-dimensional stability of landslides based on local safety factor 认领 引用 被引量：6
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作者 YANG Tao Man-chu Ronald YEUNG +2 位作者 YANG Bing LIU Yong-jiang YANG Yan-xin 《Journal of Mountain Science》 SCIE CSCD 2016年第9期1515-1526,共12页
Unlike the limit equilibrium method(LEM), with which only the global safety factor of the landslide can be calculated, a local safety factor(LSF) method is proposed to evaluate the stability of different sections of a... Unlike the limit equilibrium method(LEM), with which only the global safety factor of the landslide can be calculated, a local safety factor(LSF) method is proposed to evaluate the stability of different sections of a landslide in this paper. Based on three-dimensional(3D) numerical simulation results, the local safety factor is defined as the ratio of the shear strength of the soil at an element on the slip zone to the shear stress parallel to the sliding direction at that element. The global safety factor of the landslide is defined as the weighted average of all local safety factors based on the area of the slip surface. Some example analyses show that the results computed by the LSF method agree well with those calculated by the General Limit Equilibrium(GLE) method in two-dimensional(2D) models and the distribution of the LSF in the 3D slip zone is consistent with that indicated by the observed deformation pattern of an actual landslide in China. 展开更多
关键词 Landslide stability Local safety factor Stability analysis method Slip mechanism
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THE FACTORS AND TREATMENT OF LOCAL RECURRENCE AFTER RADICAL RESECTION RESERVING THE ANUS IN THE PATIENTS WITH RECTAL CANCER 认领 引用
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作者 单吉贤 陈峻青 +1 位作者 张文范 齐春莲 《Chinese Journal of Cancer Research》 CAS 1989年第4期73-76,共4页
Of seventy-one patients with rectal cancer after radical resection retaining the anus, 15 developed local recurrence with a recurrence rate of 21.1%. Local recurrence was correlated with improper safety margin from th... Of seventy-one patients with rectal cancer after radical resection retaining the anus, 15 developed local recurrence with a recurrence rate of 21.1%. Local recurrence was correlated with improper safety margin from the lower edge of cancer to the anal end. There was statistical significant difference between 3 cm or more and 2 cm or less. The local recurrence was also related to the pathologic stage, histologic differentiation and implant of free cancer cells. It is suggested that the surgical indication of saving the anus be strict and without stretching, the safety margin from the lower edge of cancer to the anal end should not be less than 2 cm in early rectal cancer and not less than 4 cm in advanced lesions. During the operation, no touching tumor technique, thorough rinsing of the peritoneal cavity and pre- or post-operative radiotherapy are important for prevention of local recurrence. Early local recurrent rectal cancer can be detected by periodic examinations. 展开更多
关键词 THE FACTORS AND TREATMENT OF LOCAL RECURRENCE AFTER RADICAL RESECTION RESERVING THE ANUS IN THE PATIENTS WITH RECTAL CANCER
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Anomalous Cell Detection with Kernel Density-Based Local Outlier Factor 认领 引用 被引量：3
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作者 Miao Dandan Qin Xiaowei Wang Weidong 《China Communications》 SCIE CSCD 2015年第9期64-75,共12页
Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical ... Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical methods for anomalous cell detection cannot adapt to the evolution of networks, and data mining becomes the mainstream. In this paper, we propose a novel kernel density-based local outlier factor(KLOF) to assign a degree of being an outlier to each object. Firstly, the notion of KLOF is introduced, which captures exactly the relative degree of isolation. Then, by analyzing its properties, including the tightness of upper and lower bounds, sensitivity of density perturbation, we find that KLOF is much greater than 1 for outliers. Lastly, KLOFis applied on a real-world dataset to detect anomalous cells with abnormal key performance indicators(KPIs) to verify its reliability. The experiment shows that KLOF can find outliers efficiently. It can be a guideline for the operators to perform faster and more efficient trouble shooting. 展开更多
关键词 data mining key performance indicators kernel density-based local outlier factor density perturbation anomalous cell detection
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Impact and Analysis of Prognostic Factors in Patients with Non-Metastatic Esophageal Squamous Cell Carcinoma: A Retrospective Single Institution Study 认领 引用 被引量：1
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作者 M. Keita M. Bah +6 位作者 A. M. Koundouno M. Diallo A. Camara I. K. Conde Wenbin Shen B. Traore S. C. Zhu 《Open Journal of Internal Medicine》 2021年第4期265-274,共10页
Objective: To investigate the impact of local tumor factors on the prognosis of non-metastatic esophageal squamous cell carcinoma patients. Methods: We performed a retrospective analysis of data from 278 consecutive e... Objective: To investigate the impact of local tumor factors on the prognosis of non-metastatic esophageal squamous cell carcinoma patients. Methods: We performed a retrospective analysis of data from 278 consecutive esophageal squamous cell carcinoma patients between January 2009 and December 2016. The prognosis factors such as the GTV volume, GTV maximum diameter, and GTV length were analyzed. Results: The results of ROC curve analysis showed that prognosis critical values of the GTV volume, GTV maximum diameter, and GTV length were 27.98 cm3, 1.80 and 5.85 cm, respectively. The result of the univariate analysis showed that the GTV volume (P = 0.0184), GTV maximum diameter (P = 0.0246), and GTV length (P = 0.0035) were the prognostic factors for overall survival;the barium meal length (P = 0.0149) was the prognostic factor for local control. The multivariate analysis showed that the barium meal length (P = 0.0013), GTV maximum diameter (P = 0.0047), and GTV length (P = 0.0032) as the independent prognostic factors associated with overall survival;the barium meal length (P = 0.0037) was the only independent prognostic factors for local control. Conclusion: The esophageal lesion length was the main prognosis factor for patients with non-metastatic esophageal squamous cell carcinoma. Therefore, we suggest that the physician must give enough attention to these patients in clinical practice, and give active treatment. 展开更多
关键词 Esophageal Squamous Cell Carcinoma Radiotherapy Non-Metastasis Tumor Local Factors Prognosis
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A data-driven predictive model for solubility:A case study of the NaCl-Na2SO4-H2O system 认领 引用
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作者 Yuan Wang Mengyue Chen +2 位作者 Jingwei Tian Weidong Zhang Dahuan Liu 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2025年第8期254-265,共12页
Accurate prediction of solubility data in the Sodium Chloride-Sodium Sulfate-Water system is essential.It provides theoretical support for salt lake resource development and wastewater treatment technologies.This stud... Accurate prediction of solubility data in the Sodium Chloride-Sodium Sulfate-Water system is essential.It provides theoretical support for salt lake resource development and wastewater treatment technologies.This study proposes an innovative solubility prediction approach.It addresses the limitations of traditional thermodynamic models.This is particularly important when experimental data from various sources contain inconsistencies.Our approach combines the Weighted Local Outlier Factor technique for anomaly detection with a Deep Ensemble Neural Network architecture.This methodology effectively removes local outliers while preserving data distribution integrity,and integrates multiple neural network sub-models to comprehensively capture system features while minimizing individual model biases.Experimental validation demonstrates exceptional prediction performance across temperatures from−20℃to 150℃,achieving a coefficient of determination of 0.989 after Bayesian hyperparameter optimization.This data-driven approach provides more accurate and universally applicable solubility predictions than conventional thermodynamic models,offering theoretical guidance for industrial applications in salt lake resource utilization,separation process optimization,and environmental salt management systems. 展开更多
关键词 Weighted local outlier factor Deep ensemble neural network Solubility prediction Optimization algorithm Outlier detection
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Fuzzy support vector machine using local outlier factor and intuitionistic fuzzy sets for imbalanced datasets 认领 引用
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作者 Mengya Hu Shaowu Lu 《Journal of Control and Decision》 EI 2026年第3期821-832,共12页
Traditional classifiers are commonly used for solving class balance problems.However,many datasets exhibit class imbalance along with outliers and noise,which affect the classification accuracy,this paper proposes a f... Traditional classifiers are commonly used for solving class balance problems.However,many datasets exhibit class imbalance along with outliers and noise,which affect the classification accuracy,this paper proposes a fuzzy support vector machine algorithm based on local outlier factor and intuitionistic fuzzy sets.First,to highlight the importance of the minority class,the membership degree is set to the maximum value.Meanwhile,local outlier factor is calculated to measure the abnormality and further obtain the membership degree in the majority class.Then,a kernel density estimation method is designed to estimate the sample density accurately.Furthermore,based on the density distribution,intuitionistic fuzzy sets are used to assign membership and non-membership degrees to samples,effectively distinguishing between noise and outliers.Finally,different penalty coefficients for two classes are built to offset the impact of class imbalance on classification accuracy.Experimental results show the advantages of the proposed algorithm. 展开更多
关键词 Fuzzy support vector machine class imbalance outliers local outlier factor intuitionistic fuzzy sets
Complex variable approach in studying modified polarization saturation model in two-dimensional semipermeable piezoelectric media 认领 引用 被引量：2
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作者 S. SINGH K. SHARMA R. R. BHARGAVA 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2017年第11期1517-1532,共16页
A modified polarization saturation model is proposed and addressed math- ematically using a complex variable approach in two-dimensional （2D） semipermeable piezoelectric media. In this model, an existing polarizatio... A modified polarization saturation model is proposed and addressed math- ematically using a complex variable approach in two-dimensional （2D） semipermeable piezoelectric media. In this model, an existing polarization saturation （PS） model in 2D piezoelectric media is modified by considering a linearly varying saturated normal electric displacement load in place of a constant normal electric displacement load, applied on a saturated electric zone. A centre cracked infinite 2D piezoelectric domain subject to an arbitrary poling direction and in-plane electromechanical loadings is considered for the analytical and numerical studies. Here, the problem is mathematically modeled as a non-homogeneous Riemann-Hilbert problem in terms of unknown complex potential functions representing electric displacement and stress components. Having solved the Hilbert problem, the solutions to the saturated zone length, the crack opening displace- ment （COD）, the crack opening potential （COP）, and the local stress intensity factors （SIFs） are obtained in explicit forms. A numerical study is also presented for the proposed modified model, showing the effects of the saturation condition on the applied electrical loading, the saturation zone length, and the COP. The results of fracture parameters obtained from the proposed model are compared with the existing PS model subject to electrical loading, crack face conditions, and polarization angles. 展开更多
关键词 complex variable fracture parameter local stress intensity factor （SIF）,piezoelectric polarization saturation （PS） model
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A novel thermal runaway warning method of lithium-ion batteries 认领 引用
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作者 Rui Xiong Chenxu Wang Fengchun Sun 《iEnergy》 2023年第3期165-171,共7页
To improve the safety of electric vehicles and battery energy storage systems,early prediction of thermal runaway(TR)is of great significance.This work proposes a novel method for early warning and short-term predicti... To improve the safety of electric vehicles and battery energy storage systems,early prediction of thermal runaway(TR)is of great significance.This work proposes a novel method for early warning and short-term prediction of the TR.To give warning of TR long time in advance,a variety of battery models are established to extract key features,such as Pauta feature and Shannon entropy of voltage deviation,and then local outlier factor algorithm is used for feature fusion to detect abnormal cells.For the short-term prediction,the predefined threshold and variation rates are used.By measuring the real-time signals,such as voltage and temperature,their variation rates are calculated,based on which TR can be predicted exactly.The real data including TR from an electric vehicle are used to verify the method that it can give a warning on TR long time before it happens up to 74 days.This is remarkable for providing replacement recommendations for abnormal cells.It can also predict the occurrence of TR 33 seconds in advance to ensure the safe use of batteries. 展开更多
关键词 Lithium-ion batteries thermal runaway(TR) early warning local outlier factor Shannon entropy
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Local and systemic factors both required for full renewal of deer antlers,and systemic factors only for generic cutaneous regenerative healing 认领 引用
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作者 Wenying Wang Qianqian Guo Chunyi Li 《Cell Regeneration》 CAS 2025年第5期5-16,共12页
Deer antlers are the only mammalian organs that periodically regenerate from permanent bony protuberances(pedicles).Antler regeneration relies on the presence of pedicle periosteum(PP)and starts from regenerative heal... Deer antlers are the only mammalian organs that periodically regenerate from permanent bony protuberances(pedicles).Antler regeneration relies on the presence of pedicle periosteum(PP)and starts from regenerative healing of wounds created following the hard antler casting.Interestingly,PP deletion(removal of local factors)abolishes antler regeneration and the transition to velvet skin(shiny and hair sparsely populated)but cannot inhibit regenerative wound healing although the healed tissue is of pedicle type(scalp-like);this indicates that systemic factors from circulating blood contribute to the generic regenerative wound healing.Subsequently,we created full-thickness excisional(FTE)skin wounds on the forehead region in sika deer.Different healing outcomes ensued,namely regeneration or formation of a scar,depending on whether the intervention took place during the period of antler regeneration(ARP;spring–summer)or in the period where antler regeneration does not occur(non-ARP;winter).Forehead wounds during ARP exhibited regenerative healing,whereas during the non-ARP,healing took place but with a scar.Therefore,systemic factors from the circulating blood during the ARP must be responsible for this outcome.Topical application of deer blood plasma(a source of systemic factors)from ARP to FTE wounds in rats promoted regenerative healing,whereas,that from non-ARP failed to do so.Further evaluation showed that regenerative healing was achieved through increased cell proliferation,impaired inflammatory response,reduced myofibroblast transformation,and orchestrated collagen remodeling accompanied by an increase in the ratio of TGF-β3 to TGF-β1.Comparative proteomics analysis of deer plasma identified some highly up-regulated factors from the plasma in ARP(ARPP)with regeneration-stimulating-potential,such as IGF1 and PRG4.Topical application of IGF1 or IGF1+PRG4 to rat FTE wounds greatly promoted regenerative healing;particularly in the combination of IGF1 and PRG4 group.In summary,our findings convincingly demonstrate that the systemic factors from deer blood taken during ARP contain factors capable of inducing regenerative wound healing and that this effect is not species-specific.Because there are almost no restrictions on the supply of deer blood in ARP,our findings have laid the foundation for devising effective therapies for scar-less wound healing in the clinical setting. 展开更多
关键词 Wound healing Scar Deer antler Pedicle Systemic factor Local factor Regeneration Bone Pedicle periosteum Myofibroblast transformation
A Two-Level Approach based on Integration of Bagging and Voting for Outlier Detection 认领 引用
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作者 Alican Dogan Derya Birant 《Journal of Data and Information Science》 CSCD 2020年第2期111-135,共25页
Purpose:The main aim of this study is to build a robust novel approach that is able to detect outliers in the datasets accurately.To serve this purpose,a novel approach is introduced to determine the likelihood of an ... Purpose:The main aim of this study is to build a robust novel approach that is able to detect outliers in the datasets accurately.To serve this purpose,a novel approach is introduced to determine the likelihood of an object to be extremely different from the general behavior of the entire dataset.Design/methodology/approach:This paper proposes a novel two-level approach based on the integration of bagging and voting techniques for anomaly detection problems.The proposed approach,named Bagged and Voted Local Outlier Detection(BV-LOF),benefits from the Local Outlier Factor(LOF)as the base algorithm and improves its detection rate by using ensemble methods.Findings:Several experiments have been performed on ten benchmark outlier detection datasets to demonstrate the effectiveness of the BV-LOF method.According to the results,the BV-LOF approach significantly outperformed LOF on 9 datasets of 10 ones on average.Research limitations:In the BV-LOF approach,the base algorithm is applied to each subset data multiple times with different neighborhood sizes(k)in each case and with different ensemble sizes(T).In our study,we have chosen k and T value ranges as[1-100];however,these ranges can be changed according to the dataset handled and to the problem addressed.Practical implications:The proposed method can be applied to the datasets from different domains(i.e.health,finance,manufacturing,etc.)without requiring any prior information.Since the BV-LOF method includes two-level ensemble operations,it may lead to more computational time than single-level ensemble methods;however,this drawback can be overcome by parallelization and by using a proper data structure such as R*-tree or KD-tree.Originality/value:The proposed approach(BV-LOF)investigates multiple neighborhood sizes(k),which provides findings of instances with different local densities,and in this way,it provides more likelihood of outlier detection that LOF may neglect.It also brings many benefits such as easy implementation,improved capability,higher applicability,and interpretability. 展开更多
关键词 Outlier detection Local outlier factor Ensemble learning Bagging Voting
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An Intelligent Early Warning Method of Press-Assembly Quality Based on Outlier Data Detection and Linear Regression 认领 引用
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作者 XUE Shanliang LI Chen 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第4期597-606,共10页
Focusing on controlling the press-assembly quality of high-precision servo mechanism,an intelligent early warning method based on outlier data detection and linear regression is proposed.Linear regression is used to d... Focusing on controlling the press-assembly quality of high-precision servo mechanism,an intelligent early warning method based on outlier data detection and linear regression is proposed.Linear regression is used to deal with the relationship between assembly quality and press-assembly process,then the mathematical model of displacement-force in press-assembly process is established and a qualified press-assembly force range is defined for assembly quality control.To preprocess the raw dataset of displacement-force in the press-assembly process,an improved local outlier factor based on area density and P weight(LAOPW)is designed to eliminate the outliers which will result in inaccuracy of the mathematical model.A weighted distance based on information entropy is used to measure distance,and the reachable distance is replaced with P weight.Experiments show that the detection efficiency of the algorithm is improved by 5.6 ms compared with the traditional local outlier factor(LOF)algorithm,and the detection accuracy is improved by about 2%compared with the local outlier factor based on area density(LAOF)algorithm.The application of LAOPW algorithm and the linear regression model shows that it can effectively carry out intelligent early warning of press-assembly quality of high precision servo mechanism. 展开更多
关键词 quality early warning outlier data detection linear regression local outlier factor based on area density and P weight(LAOPW) information entropy P weight
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Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection 认领 引用
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作者 Yongqi Liu Wei Shi +2 位作者 Jiusong Hu Yantao Zhao Pang Wang 《Smart Grid and Renewable Energy》 2024年第1期34-48,共15页
The assessment of the measurement error status of online Capacitor Voltage Transformers (CVT) within the power grid is of profound significance to the equitable trade of electric energy and the secure operation of the... The assessment of the measurement error status of online Capacitor Voltage Transformers (CVT) within the power grid is of profound significance to the equitable trade of electric energy and the secure operation of the power grid. This paper advances an online CVT error state evaluation method, anchored in the in-phase relationship and outlier detection. Initially, this method leverages the in-phase relationship to obviate the influence of primary side fluctuations in the grid on assessment accuracy. Subsequently, Principal Component Analysis (PCA) is employed to meticulously disentangle the error change information inherent in the CVT from the measured values and to compute statistics that delineate the error state. Finally, the Local Outlier Factor (LOF) is deployed to discern outliers in the statistics, with thresholds serving to appraise the CVT error state. Experimental results incontrovertibly demonstrate the efficacy of this method, showcasing its prowess in effecting online tracking of CVT error changes and conducting error state assessments. The discernible enhancements in reliability, accuracy, and sensitivity are manifest, with the assessment accuracy reaching an exemplary 0.01%. 展开更多
关键词 Capacitor Voltage Transformer Measurement Error Online Monitoring Principal Component Analysis Local Outlier Factor
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