To accelerate the training of support vector domain description （SVDD）, confidence support vector domain description （CSVDD） is proposed based on the observation that the description boundary is determined by a sm...To accelerate the training of support vector domain description （SVDD）, confidence support vector domain description （CSVDD） is proposed based on the observation that the description boundary is determined by a small subset of training data called support vectors. Namely, the number of training samples in the userdefined sphere is calculated and taken as the confidence measure, according to which the training samples are ranked in ascending order. Those former ranked ones are selected as the boundary targets for the SVDD training. Simulations on UCI data demonstrate the effectiveness and superiority of CSVDD： the number of training targets and the training time are reduced without any loss of accuracy.展开更多
The spirit of the May 4th Movement has a profound influence on China’s self-confidence in its path,political system,guiding theories,and culture.This spirit,which conceived the choice of socialist path,has become the...The spirit of the May 4th Movement has a profound influence on China’s self-confidence in its path,political system,guiding theories,and culture.This spirit,which conceived the choice of socialist path,has become the foundation of confidence in the socialist path with Chinese characteristics.The Marxist theory contained in the spirit is the core of the theoretical self-confidence of socialism;the socialist system bred by the spirit has borne the fruit of confidence in the socialist system with Chinese characteristics;the new culture movement produced by the spirit is the thrust of cultural self-confidence of socialism with Chinese characteristics.Inheriting and developing the spirit of the May Fourth Movement in the new era is conducive to strengthen the Four Confidences.展开更多
Existing blockwise empirical likelihood(BEL)method blocks the observations or their analogues,which is proven useful under some dependent data settings.In this paper,we introduce a new BEL(NBEL)method by blocking the ...Existing blockwise empirical likelihood(BEL)method blocks the observations or their analogues,which is proven useful under some dependent data settings.In this paper,we introduce a new BEL(NBEL)method by blocking the scoring functions under high dimensional cases.We study the construction of confidence regions for the parameters in spatial autoregressive models with spatial autoregressive disturbances(SARAR models)with high dimension of parameters by using the NBEL method.It is shown that the NBEL ratio statistics are asymptoticallyχ^(2)-type distributed,which are used to obtain the NBEL based confidence regions for the parameters in SARAR models.A simulation study is conducted to compare the performances of the NBEL and the usual EL methods.展开更多
Abundant test data are required in assessment of weapon performance. When weapon test data are insufficient, Bayesian analyses in small sample circumstance should be considered and the test data should be provided by ...Abundant test data are required in assessment of weapon performance. When weapon test data are insufficient, Bayesian analyses in small sample circumstance should be considered and the test data should be provided by simulations. The several Bayesian approaches are discussed and some limitations are founded. An improvement is put forward after limitations of Bayesian approaches available are analyzed and the improved approach is applied to assessment of some new weapon performance.展开更多
This article deals with the case of the failure-censored constant-stress partially accelerated life test （CSPALT） for highly reliable materials or products assuming the Pareto distribution of the second kind. The ma...This article deals with the case of the failure-censored constant-stress partially accelerated life test （CSPALT） for highly reliable materials or products assuming the Pareto distribution of the second kind. The maximum likelihood （ML） method is used to estimate the parameters of the CSPALT model. The performance of ML estimators is investigated via their mean square error. Also, the average confidence interval length （IL） and the associated co- verage probability （CP） are obtained. Moreover, optimum CSPALT plans that determine the optimal proportion of the test units al- located to each stress are developed. Such optimum test plans minimize the generalized asymptotic variance （GAV） of the ML estimators of the model parameters. For illustration, Monte Carlo simulation studies are given and a real life example is provided.展开更多
Based on the rough set theory which is a powerful tool in dealing with vagueness and uncertainty, an algorithm to mine association rules in incomplete information systems was presented and the support and confidence w...Based on the rough set theory which is a powerful tool in dealing with vagueness and uncertainty, an algorithm to mine association rules in incomplete information systems was presented and the support and confidence were redefined. The algorithm can mine the association rules with decision attributes directly without processing missing values. Using the incomplete dataset Mushroom from UCI machine learning repository, the new algorithm was compared with the classical association rules mining algorithm based on Apriori from the number of rules extracted, testing accuracy and execution time. The experiment results show that the new algorithm has advantages of short execution time and high accuracy.展开更多
The pre-warning of abnormal energy consumption is important for energy conservation of industrial engineering. However, related studies on the lead smelting industries which usually have a huge energy consumption are ...The pre-warning of abnormal energy consumption is important for energy conservation of industrial engineering. However, related studies on the lead smelting industries which usually have a huge energy consumption are rarely reported. Therefore, a pre-warning system was established in this study based on the intelligent prediction of energy consumption and the identification of abnormal energy consumption. A least square support vector regression (LSSVR) model optimized by the adaptive genetic algorithm was developed to predict the energy consumption in the process of lead smelting. A recurrence plots (RP) analysis and a confidence intervals (CI) analysis were conducted to quantitatively confirm the stationary degree of energy consumption and the normal range of energy consumption, respectively, to realize the identification of abnormal energy consumption. It is found the prediction accuracy of LSSVR model can exceed 90% based on the comparison between the actual and predicted data. The energy consumption is considered to be non-stationary if the correlation coefficient between the time series of periodicity and energy consumption is larger than that between the time series of periodicity and Lorenz. Additionally, the lower limit and upper limit of normal energy consumption are obtained.展开更多
The parameter estimation is considered for the Gompertz distribution under frequensitst and Bayes approaches when records are available.Maximum likelihood estimators,exact and approximate confidence intervals are deve...The parameter estimation is considered for the Gompertz distribution under frequensitst and Bayes approaches when records are available.Maximum likelihood estimators,exact and approximate confidence intervals are developed for the model parameters,and Bayes estimators of reliability performances are obtained under different losses based on a mixture of continuous and discrete priors.To investigate the performance of the proposed estimators,a record simulation algorithm is provided and a numerical study is presented by using Monte-Carlo simulation.展开更多
The multiply type-I censoring represented that all units in life test were terminated at different times. For estimations of Weibull parameters, it was easy to compute the maximum likelihood estimation （MLE） and lea...The multiply type-I censoring represented that all units in life test were terminated at different times. For estimations of Weibull parameters, it was easy to compute the maximum likelihood estimation （MLE） and least-squares estimation （LSE） while it was hard to build confidence intervals （CI）. The concept of generalized confidence interval （GCI） was introduced to build CIs of parameters under multiply type-I censoring. Further, GCI based on LSE and GCI based on MLE were proposed. It is mathematically proved that the former is exact and the latter is approximate. Besides, a Monte Carlo simulation study and an illustrative example also Ran out that the GCI method based on LSE yields rather satisfactory results by comparison with the ones based on MLE. It should be clear that the GCI method is a sensible choice to evaluate reliability under multiply type-I censoring.展开更多
Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons, it has great impression upon simulation fidelity. It is asked that whether simulation signals can...Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons, it has great impression upon simulation fidelity. It is asked that whether simulation signals can replace the real signal effectually. Considering the randomness of signals, the interval estimation of feature parameters of simulation signals is made. By comparing the obtained confidence interval with the corresponding accept interval, the concept of similarity coefficient of simulation signals is given. By making a statistical analysis for similarity coefficient, the uniformity information of simulation signals is extracted, and the fuzzy number which expresses the fuzzy uniformity level of simu- lation signals is obtained. The analysis method on fuzzy uniformity of simulation underwater acoustic signals is presented. It is indi- cated by the application in simulation of target radiated-noises that the method is suitable and effectual for the simulation research on underwater acoustic signals, and the analysis result may provide support for decision-making relative to perfecting simulation sys- tems and applying simulation signals.展开更多
This paper describes a new method of small moving target detection and analyzes the performance of this algorithm. The method is based on multi-level threshold decision-making and sliding trajectory confidence testing...This paper describes a new method of small moving target detection and analyzes the performance of this algorithm. The method is based on multi-level threshold decision-making and sliding trajectory confidence testing technology. The parameters of the algorithm are also given. Experiments have been conducted, the results show that the algorithm has advantages of high detection probability, simple structure, and excellent real-time performance.展开更多
The relative abilities of several chelating agents to act as antagonists for acute and chronic lead poisoning have been examined in the mouse.The acute LD<sub>50</sub> for lead acetate trihydrate was deter...The relative abilities of several chelating agents to act as antagonists for acute and chronic lead poisoning have been examined in the mouse.The acute LD<sub>50</sub> for lead acetate trihydrate was determined and found to be 135.3 mg Pb/kg for i. p. injection with a 95% confidence interval of 87.1 to 210.3 mg Pb/kg. The relative efficacy of chelating agents to reduce liver,kidney, spleen, bone and brain levels of lead was determined. The spleen levels were found to undergo little differences between the control and treated groups, but the liver, kidney, bone and brain levels showed significant differences in some cases. Of the compounds examind, meso-2, 3-dimercaptosuccinic acid （DMSA）and sodium 2,3-dimercaptopropane-1-sulfonate（DMPS） were as effective as disodium calcium ethylenediaminetetraacetate （Na<sub>2</sub>CaEDT A）. The resuits indicated that DMSA was a promising chelating agent and may be worthy of further investigation in the clinic.展开更多
亚太地区职业安全卫生组织(Asia Pacific Occupational Safety and Health Organization,英文缩写APOSHO)将于1997年4月21日至26日在香港地区召开“亚太地区职业安全卫生组织第十三届年会”及展览会。会议的主题是:·发展技能,提高...亚太地区职业安全卫生组织(Asia Pacific Occupational Safety and Health Organization,英文缩写APOSHO)将于1997年4月21日至26日在香港地区召开“亚太地区职业安全卫生组织第十三届年会”及展览会。会议的主题是:·发展技能,提高职业安全卫生管理水平。·促进自我管理和自我调控,保持工作中的职业安全卫生高标准。·促进雇主与雇员间密切的合作,创建安全的、卫生的工作环境。展开更多
As one of the key concepts of Xi Jinping’s Theory,“A Community with Shared Future for Man-kind”(CSFM hereafter) caters for the need of the epoch. Hence,how to build a CSFM has become an important theoretical and pr...As one of the key concepts of Xi Jinping’s Theory,“A Community with Shared Future for Man-kind”(CSFM hereafter) caters for the need of the epoch. Hence,how to build a CSFM has become an important theoretical and practical issue urgently needed to be considered and demonstrated in academic circles. This paper,from the perspectives of philosophical rationale,cultural confidence,ecological civilization and the mode of cultural transmis-sion,probes into the fact that the concept of CSFM has surmounted the cultural barrier and is one of the elements of consensus in cross - cultural transmission,which demonstrates that CSFM is the key to making cultural transmission successful and highlights the overall concern for humankind.展开更多
The Japanese Government dissolved parliament (Diet) on June 18 in the wake of its shock defeat in a confidence vote ovar political corruption. A general election must be held within 40 days. A total of 39 LDP members ...The Japanese Government dissolved parliament (Diet) on June 18 in the wake of its shock defeat in a confidence vote ovar political corruption. A general election must be held within 40 days. A total of 39 LDP members voted against Prime Minister Kiichi Miyazawa in protest at his failure to keep a pledge to curb Japan’s pandemic "money politics". Chinese President Jiang Zemin held talks in Beijing on June 19 with Miguel Dos Anjos Trovoada, President of Sao Tome and Principe, two islands in the Gulf of Guinea off west Africa.展开更多
Yule-Simon distribution has a wide range of practical applications, such as in networkscience, biology and humanities. A lot of work focuses on the study of how well the empirical datafits Yule-Simon distribution or h...Yule-Simon distribution has a wide range of practical applications, such as in networkscience, biology and humanities. A lot of work focuses on the study of how well the empirical datafits Yule-Simon distribution or how to estimate the parameter. There are still some open problems,such as the error analysis of parameter estimation, the theoretical proof of the convergence of theiterative algorithm for maximum likelihood estimation of parameters. The Yule-Simon distributionis a heavy-tailed distribution and the parameter is usually less than 2, so the variance does notexist. This makes it difficult to give an interval estimation of the parameter. Using the compressiontransformation, this paper proposes a method of interval estimation based on the centrallimit theorem. This method can be applied to many heavy-tailed distributions. The other twoasymptotic confidence intervals of the parameter are obtained based on the maximum likelihoodand the mode method. These estimation methods are compared in simulations and applications toempirical data.展开更多
基金supported by the National Natural Science Foundation of China(6057407560674108).
文摘To accelerate the training of support vector domain description （SVDD）, confidence support vector domain description （CSVDD） is proposed based on the observation that the description boundary is determined by a small subset of training data called support vectors. Namely, the number of training samples in the userdefined sphere is calculated and taken as the confidence measure, according to which the training samples are ranked in ascending order. Those former ranked ones are selected as the boundary targets for the SVDD training. Simulations on UCI data demonstrate the effectiveness and superiority of CSVDD： the number of training targets and the training time are reduced without any loss of accuracy.
基金The key project of Humanities and Social Sciences of Chongqing Municipal Commission of Education“Research on the Construction of China’s National Cohesion in the New Era based on Cultural Soft Power”(19SKGH140)and the special theoretical key project of Chongqing Social Sciences Planning:“Research on‘Four Comprehensives’and National Cohesion in the Philosophical Context”(17ZDZT29).
文摘The spirit of the May 4th Movement has a profound influence on China’s self-confidence in its path,political system,guiding theories,and culture.This spirit,which conceived the choice of socialist path,has become the foundation of confidence in the socialist path with Chinese characteristics.The Marxist theory contained in the spirit is the core of the theoretical self-confidence of socialism;the socialist system bred by the spirit has borne the fruit of confidence in the socialist system with Chinese characteristics;the new culture movement produced by the spirit is the thrust of cultural self-confidence of socialism with Chinese characteristics.Inheriting and developing the spirit of the May Fourth Movement in the new era is conducive to strengthen the Four Confidences.
基金Supported by the National Natural Science Foundation of China(12061017,12361055)the Research Fund of Guangxi Key Lab of Multi-source Information Mining&Security(22-A-01-01)。
文摘Existing blockwise empirical likelihood(BEL)method blocks the observations or their analogues,which is proven useful under some dependent data settings.In this paper,we introduce a new BEL(NBEL)method by blocking the scoring functions under high dimensional cases.We study the construction of confidence regions for the parameters in spatial autoregressive models with spatial autoregressive disturbances(SARAR models)with high dimension of parameters by using the NBEL method.It is shown that the NBEL ratio statistics are asymptoticallyχ^(2)-type distributed,which are used to obtain the NBEL based confidence regions for the parameters in SARAR models.A simulation study is conducted to compare the performances of the NBEL and the usual EL methods.
文摘Abundant test data are required in assessment of weapon performance. When weapon test data are insufficient, Bayesian analyses in small sample circumstance should be considered and the test data should be provided by simulations. The several Bayesian approaches are discussed and some limitations are founded. An improvement is put forward after limitations of Bayesian approaches available are analyzed and the improved approach is applied to assessment of some new weapon performance.
基金supported by the King Saud University,Deanship of Scientific Research and College of Science Research Center
文摘This article deals with the case of the failure-censored constant-stress partially accelerated life test （CSPALT） for highly reliable materials or products assuming the Pareto distribution of the second kind. The maximum likelihood （ML） method is used to estimate the parameters of the CSPALT model. The performance of ML estimators is investigated via their mean square error. Also, the average confidence interval length （IL） and the associated co- verage probability （CP） are obtained. Moreover, optimum CSPALT plans that determine the optimal proportion of the test units al- located to each stress are developed. Such optimum test plans minimize the generalized asymptotic variance （GAV） of the ML estimators of the model parameters. For illustration, Monte Carlo simulation studies are given and a real life example is provided.
基金Projects(10871031, 60474070) supported by the National Natural Science Foundation of ChinaProject(07A001) supported by the Scientific Research Fund of Hunan Provincial Education Department, China
文摘Based on the rough set theory which is a powerful tool in dealing with vagueness and uncertainty, an algorithm to mine association rules in incomplete information systems was presented and the support and confidence were redefined. The algorithm can mine the association rules with decision attributes directly without processing missing values. Using the incomplete dataset Mushroom from UCI machine learning repository, the new algorithm was compared with the classical association rules mining algorithm based on Apriori from the number of rules extracted, testing accuracy and execution time. The experiment results show that the new algorithm has advantages of short execution time and high accuracy.
基金Project(2015SK1002) supported by Key Projects of Hunan Province Science and Technology Plan,China
文摘The pre-warning of abnormal energy consumption is important for energy conservation of industrial engineering. However, related studies on the lead smelting industries which usually have a huge energy consumption are rarely reported. Therefore, a pre-warning system was established in this study based on the intelligent prediction of energy consumption and the identification of abnormal energy consumption. A least square support vector regression (LSSVR) model optimized by the adaptive genetic algorithm was developed to predict the energy consumption in the process of lead smelting. A recurrence plots (RP) analysis and a confidence intervals (CI) analysis were conducted to quantitatively confirm the stationary degree of energy consumption and the normal range of energy consumption, respectively, to realize the identification of abnormal energy consumption. It is found the prediction accuracy of LSSVR model can exceed 90% based on the comparison between the actual and predicted data. The energy consumption is considered to be non-stationary if the correlation coefficient between the time series of periodicity and energy consumption is larger than that between the time series of periodicity and Lorenz. Additionally, the lower limit and upper limit of normal energy consumption are obtained.
基金supported by the National Natural Science Foundation of China(1150143371473187)+1 种基金the Fundamental Research Funds for the Central Universities(JB1507177215591806)
文摘The parameter estimation is considered for the Gompertz distribution under frequensitst and Bayes approaches when records are available.Maximum likelihood estimators,exact and approximate confidence intervals are developed for the model parameters,and Bayes estimators of reliability performances are obtained under different losses based on a mixture of continuous and discrete priors.To investigate the performance of the proposed estimators,a record simulation algorithm is provided and a numerical study is presented by using Monte-Carlo simulation.
基金Project(71371182) supported by the National Natural Science Foundation of China
文摘The multiply type-I censoring represented that all units in life test were terminated at different times. For estimations of Weibull parameters, it was easy to compute the maximum likelihood estimation （MLE） and least-squares estimation （LSE） while it was hard to build confidence intervals （CI）. The concept of generalized confidence interval （GCI） was introduced to build CIs of parameters under multiply type-I censoring. Further, GCI based on LSE and GCI based on MLE were proposed. It is mathematically proved that the former is exact and the latter is approximate. Besides, a Monte Carlo simulation study and an illustrative example also Ran out that the GCI method based on LSE yields rather satisfactory results by comparison with the ones based on MLE. It should be clear that the GCI method is a sensible choice to evaluate reliability under multiply type-I censoring.
文摘Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons, it has great impression upon simulation fidelity. It is asked that whether simulation signals can replace the real signal effectually. Considering the randomness of signals, the interval estimation of feature parameters of simulation signals is made. By comparing the obtained confidence interval with the corresponding accept interval, the concept of similarity coefficient of simulation signals is given. By making a statistical analysis for similarity coefficient, the uniformity information of simulation signals is extracted, and the fuzzy number which expresses the fuzzy uniformity level of simu- lation signals is obtained. The analysis method on fuzzy uniformity of simulation underwater acoustic signals is presented. It is indi- cated by the application in simulation of target radiated-noises that the method is suitable and effectual for the simulation research on underwater acoustic signals, and the analysis result may provide support for decision-making relative to perfecting simulation sys- tems and applying simulation signals.
文摘This paper describes a new method of small moving target detection and analyzes the performance of this algorithm. The method is based on multi-level threshold decision-making and sliding trajectory confidence testing technology. The parameters of the algorithm are also given. Experiments have been conducted, the results show that the algorithm has advantages of high detection probability, simple structure, and excellent real-time performance.
文摘The relative abilities of several chelating agents to act as antagonists for acute and chronic lead poisoning have been examined in the mouse.The acute LD<sub>50</sub> for lead acetate trihydrate was determined and found to be 135.3 mg Pb/kg for i. p. injection with a 95% confidence interval of 87.1 to 210.3 mg Pb/kg. The relative efficacy of chelating agents to reduce liver,kidney, spleen, bone and brain levels of lead was determined. The spleen levels were found to undergo little differences between the control and treated groups, but the liver, kidney, bone and brain levels showed significant differences in some cases. Of the compounds examind, meso-2, 3-dimercaptosuccinic acid （DMSA）and sodium 2,3-dimercaptopropane-1-sulfonate（DMPS） were as effective as disodium calcium ethylenediaminetetraacetate （Na<sub>2</sub>CaEDT A）. The resuits indicated that DMSA was a promising chelating agent and may be worthy of further investigation in the clinic.
文摘亚太地区职业安全卫生组织(Asia Pacific Occupational Safety and Health Organization,英文缩写APOSHO)将于1997年4月21日至26日在香港地区召开“亚太地区职业安全卫生组织第十三届年会”及展览会。会议的主题是:·发展技能,提高职业安全卫生管理水平。·促进自我管理和自我调控,保持工作中的职业安全卫生高标准。·促进雇主与雇员间密切的合作,创建安全的、卫生的工作环境。
基金one of the research findings of“Central Plains Culture Transmission based on‘Belt and Road Initiative’Context”(No:2018B410)sponsored by Henan Province People’s Government Development Research Center+1 种基金a research finding of“Cultural C onstruction and Redisplay in Trauma”(No:14BWW066)sponsored by The National Social Science Fund of China
文摘As one of the key concepts of Xi Jinping’s Theory,“A Community with Shared Future for Man-kind”(CSFM hereafter) caters for the need of the epoch. Hence,how to build a CSFM has become an important theoretical and practical issue urgently needed to be considered and demonstrated in academic circles. This paper,from the perspectives of philosophical rationale,cultural confidence,ecological civilization and the mode of cultural transmis-sion,probes into the fact that the concept of CSFM has surmounted the cultural barrier and is one of the elements of consensus in cross - cultural transmission,which demonstrates that CSFM is the key to making cultural transmission successful and highlights the overall concern for humankind.
文摘The Japanese Government dissolved parliament (Diet) on June 18 in the wake of its shock defeat in a confidence vote ovar political corruption. A general election must be held within 40 days. A total of 39 LDP members voted against Prime Minister Kiichi Miyazawa in protest at his failure to keep a pledge to curb Japan’s pandemic "money politics". Chinese President Jiang Zemin held talks in Beijing on June 19 with Miguel Dos Anjos Trovoada, President of Sao Tome and Principe, two islands in the Gulf of Guinea off west Africa.
基金supported by the National Natural Science Foundation of China(Grant No.11961035)Jiangxi Provincial Natural Science Foundation(Grant No.20224BCD41001).
文摘Yule-Simon distribution has a wide range of practical applications, such as in networkscience, biology and humanities. A lot of work focuses on the study of how well the empirical datafits Yule-Simon distribution or how to estimate the parameter. There are still some open problems,such as the error analysis of parameter estimation, the theoretical proof of the convergence of theiterative algorithm for maximum likelihood estimation of parameters. The Yule-Simon distributionis a heavy-tailed distribution and the parameter is usually less than 2, so the variance does notexist. This makes it difficult to give an interval estimation of the parameter. Using the compressiontransformation, this paper proposes a method of interval estimation based on the centrallimit theorem. This method can be applied to many heavy-tailed distributions. The other twoasymptotic confidence intervals of the parameter are obtained based on the maximum likelihoodand the mode method. These estimation methods are compared in simulations and applications toempirical data.
