Background Zonal application maps are designed to represent field variability using key variables that can be translated into tailored management practices.For cotton,zonal maps for crop growth regulator(CGR)applicati...Background Zonal application maps are designed to represent field variability using key variables that can be translated into tailored management practices.For cotton,zonal maps for crop growth regulator(CGR)applications under variable-rate(VR)strategies are commonly based exclusively on vegetation indices(VIs)variability.However,VIs often saturate in dense crop vegetation areas,limiting their effectiveness in distinguishing variability in crop growth.This study aimed to compare unsupervised framework(UF)and supervised framework(SUF)approaches for generat-ing zonal application maps for CGR under VR conditions.During 2022-2023 agricultural seasons,an UF was employed to generate zonal maps based on locally collected field data on plant height of cotton,satellite imagery,soil texture,and phenology data.Subsequently,a SUF(based on historical data between 2020-2021 to 2022-2023 agricultural seasons)was developed to predict plant height using remote sensing and phenology data,aiming to replicate same zonal maps but without relying on direct field measurements of plant height.Both approaches were tested in three fields and on two different dates per field.Results The predictive model for plant height of SUF performed well,as indicated by the model metrics.However,when comparing zonal application maps for specific field-date combinations,the predicted plant height exhibited lower variability compared with field measurements.This led to variable compatibility between SUF maps,which utilized the model predictions,and the UF maps,which were based on the real field data.Fields characterized by much pronounced soil texture variability yielded the highest compatibility between the zonal application maps produced by both SUF and UF approaches.This was predominantly due to the greater consistency in estimating plant development patterns within these heterogeneous field environments.While VR application approach can facilitate product savings during the application operation,other key factors must be considered.These include the availability of specialized machinery required for this type of applications,as well as the inherent operational costs associated with applying a single CGR product which differs from the typical uniform rate applications that often integrate multi-ple inputs.Conclusion Predictive modeling shows promise for assisting in the creation of zonal application maps for VR of CGR applications.However,the degree of agreement with the actual variability in crop growth found in the field should be evaluated on a field-by-field basis.The SUF approach,which is based on plant heigh prediction,demonstrated potential for supporting the development of zonal application maps for VR of CGR applications.However,the degree to which this approach aligns itself with the actual variability in crop growth observed in the field may vary,necessi-tating field-by-field evaluation.展开更多
Rare labeled data are difficult to recognize by using conventional methods in the process of radar emitter recogni-tion.To solve this problem,an optimized cooperative semi-supervised learning radar emitter recognition...Rare labeled data are difficult to recognize by using conventional methods in the process of radar emitter recogni-tion.To solve this problem,an optimized cooperative semi-supervised learning radar emitter recognition method based on a small amount of labeled data is developed.First,a small amount of labeled data are randomly sampled by using the bootstrap method,loss functions for three common deep learning net-works are improved,the uniform distribution and cross-entropy function are combined to reduce the overconfidence of softmax classification.Subsequently,the dataset obtained after sam-pling is adopted to train three improved networks so as to build the initial model.In addition,the unlabeled data are preliminarily screened through dynamic time warping(DTW)and then input into the initial model trained previously for judgment.If the judg-ment results of two or more networks are consistent,the unla-beled data are labeled and put into the labeled data set.Lastly,the three network models are input into the labeled dataset for training,and the final model is built.As revealed by the simula-tion results,the semi-supervised learning method adopted in this paper is capable of exploiting a small amount of labeled data and basically achieving the accuracy of labeled data recognition.展开更多
A method that applies clustering technique to reduce the number of samples of large data sets using input-output clustering is proposed.The proposed method clusters the output data into groups and clusters the input d...A method that applies clustering technique to reduce the number of samples of large data sets using input-output clustering is proposed.The proposed method clusters the output data into groups and clusters the input data in accordance with the groups of output data.Then,a set of prototypes are selected from the clustered input data.The inessential data can be ultimately discarded from the data set.The proposed method can reduce the effect from outliers because only the prototypes are used.This method is applied to reduce the data set in regression problems.Two standard synthetic data sets and three standard real-world data sets are used for evaluation.The root-mean-square errors are compared from support vector regression models trained with the original data sets and the corresponding instance-reduced data sets.From the experiments,the proposed method provides good results on the reduction and the reconstruction of the standard synthetic and real-world data sets.The numbers of instances of the synthetic data sets are decreased by 25%-69%.The reduction rates for the real-world data sets of the automobile miles per gallon and the 1990 census in CA are 46% and 57%,respectively.The reduction rate of 96% is very good for the electrocardiogram(ECG) data set because of the redundant and periodic nature of ECG signals.For all of the data sets,the regression results are similar to those from the corresponding original data sets.Therefore,the regression performance of the proposed method is good while only a fraction of the data is needed in the training process.展开更多
This study analyses all A-share listed companies from 2015 to 2020 to empirically examine the impact of inquiry supervision on corporate value and the moderating influence of corporate social responsibility(CSR)on thi...This study analyses all A-share listed companies from 2015 to 2020 to empirically examine the impact of inquiry supervision on corporate value and the moderating influence of corporate social responsibility(CSR)on this relationship.Research has shown that inquiry supervision significantly reduces corporate value,and the corporate social responsibility previously performed by companies can weaken this negative impact.Furthermore,the heterogeneity test based on internal and external controls shows that the reputation protection effect of CSR is more significant for companies with a higher proportion of independent directors,companies with a higher proportion of institutional investors investing in stocks,regions with a higher degree of marketization,and regions with a higher level of rule of law.The research in this article validates the effectiveness of reputation protection and verifies that reputation protection,as an informal mechanism,is easier to fulfil a role in areas where formal mechanisms are perfect.In other words,formal and informal mechanisms appear to complement each other.These findings provide empirical insights into the governance of CSR.展开更多
An impact point prediction(IPP) guidance based on supervised learning is proposed to address the problem of precise guidance for the ballistic missile in high maneuver penetration condition.An accurate ballistic traje...An impact point prediction(IPP) guidance based on supervised learning is proposed to address the problem of precise guidance for the ballistic missile in high maneuver penetration condition.An accurate ballistic trajectory model is applied to generate training samples,and ablation experiments are conducted to determine the mapping relationship between the flight state and the impact point.At the same time,the impact point coordinates are decoupled to improve the prediction accuracy,and the sigmoid activation function is improved to ameliorate the prediction efficiency.Therefore,an IPP neural network model,which solves the contradiction between the accuracy and the speed of the IPP,is established.In view of the performance deviation of the divert control system,the mapping relationship between the guidance parameters and the impact deviation is analysed based on the variational principle.In addition,a fast iterative model of guidance parameters is designed for reference to the Newton iteration method,which solves the nonlinear strong coupling problem of the guidance parameter solution.Monte Carlo simulation results show that the prediction accuracy of the impact point is high,with a 3 σ prediction error of 4.5 m,and the guidance method is robust,with a 3 σ error of 7.5 m.On the STM32F407 singlechip microcomputer,a single IPP takes about 2.374 ms,and a single guidance solution takes about9.936 ms,which has a good real-time performance and a certain engineering application value.展开更多
Acta Veterinaria et Zootechnica Sinica(Chinese Journal of Animal and Veterinary Sciences,CJAVS)is one of the earliest scholarly journals in animal and veterinary sciences of China(first published in 1956).The CJAVS(no...Acta Veterinaria et Zootechnica Sinica(Chinese Journal of Animal and Veterinary Sciences,CJAVS)is one of the earliest scholarly journals in animal and veterinary sciences of China(first published in 1956).The CJAVS(now published monthly),is supervised by the China Association for Science and Technology(CAST),sponsored by Chinese Association of Animal Science and Veterinary Medicine(CAAV).and is edited by the Editorial Com-展开更多
对于美国最早的教育管理研究始于何时,存在着不同的看法。一种观点认为,培内(Payne)1875年完成的第一部专著《学校管理的若干章节》(Chapters on school supervision)标志着美国教育管理研究的开始;另一种观点则认为,它始于1946年茅特(M...对于美国最早的教育管理研究始于何时,存在着不同的看法。一种观点认为,培内(Payne)1875年完成的第一部专著《学校管理的若干章节》(Chapters on school supervision)标志着美国教育管理研究的开始;另一种观点则认为,它始于1946年茅特(Mort)展开更多
Over the past decade the world banking industry has grown significantly and this has led to increasing sophistication and complexity in its practices.The industry has been affected by changes in the way in which it is...Over the past decade the world banking industry has grown significantly and this has led to increasing sophistication and complexity in its practices.The industry has been affected by changes in the way in which it is regulated and supervised,by changes in the nature of its products,by the way in which individual bank manages its own affairs and controls its assets and by the way in which it accounts to the outside world for its activities.These changes have probably been of more significance than those experienced in any other industry over the past few years.Hong Kong which is one of the foremost financial centres of the world,has experienced all of these changes,probably to a greater extent than most other parts of the world.Hong Kong is one of the world’s major international banking centres and has a thriving domestic banking community.There is a need to review our banking practices and their accounting and auditing implications.The BCCI and BCCHK events happened in mid—1991 should trigger us to further reassess the role of auditor(both external and internal)in this ever changing and fast moving industry in co—operation with local authorities such as the Banking Commission,Department of Monetary Affairs and Security Commission.A number of investigations and articles on the role of bank auditors have been done and written,these include the study of challenges faced by bank auditors in today’s environment (Seidman,1987),the examination of the changing role of the bank audit committee(Haugh and Bradley,1987)and new risks faced by bank auditors (Clark,1987).In this paper,we will try to identify some of the common problems which might have caused the banking crisis.We will examine the role of auditor and try to establish the responsibilities of auditor when performing an audit task in a banking environment with the view to reducing the chance of the crisis happening again,if not eliminated completely.The regulatory body will still be the Banking Commission,while auditor will assume a supporting role in the banking monitoring and reguatory functions.展开更多
Erratum to：J.Cent.South Univ.（2014）21：3811-3820DOI：10.1007/s11771-014-2366-9The original version of this article unfortunately contained three mistakes.The mistakes are corrected as follows：1）The spelling of th...Erratum to：J.Cent.South Univ.（2014）21：3811-3820DOI：10.1007/s11771-014-2366-9The original version of this article unfortunately contained three mistakes.The mistakes are corrected as follows：1）The spelling of third author is incorrect.The correct name is Jae-Young PYUN.2）The information of corresponding author is incorrect.The correct information should be Goo-Rak KWON,Professor,PhD;Tel/Fax：＋98-711-7264102;E-mail：grkwon@chosun.ac.kr展开更多
Decentralization and strengthening supervision are the two wings of the reform of administrative examination and approval system. At present, in the supervision process of Chinese government, the phenomenon of strict ...Decentralization and strengthening supervision are the two wings of the reform of administrative examination and approval system. At present, in the supervision process of Chinese government, the phenomenon of strict approval and slack supervision still exists in some local governments. And the dynamic supervision mechanism and supervision restriction mechanism of some local governments are still not perfect. These problems directly lead to"regulatory vacuum"and service absence and other circumstances. The existence of these circumstances will block the process of China's administrative examination and approval system reform. As a result to explore how to promote government supervision innovation and optimize government services is the first important thing, and then to create conditions for the rapid, stable and orderly progress of the administrative examination,what's more to approval system reform.Based on this thesis, the author realizes legal supervision, implement informatization supervision.It not only has increased normalized supervision, improve the administrative examination and approval all-round supervision mechanism, but also established the third party assessment normalization mechanism, and optimize the administrative examination and approval policy advocacy mechanism as well.展开更多
Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework ...Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework with parallel interference cancellation, a supervision decision algorithm based on pre-decision of probabilistic data association (PDA) and hard decision is proposed. The detection performance is analyzed and simulation is implemented to show that the supervision decision algorithm improves the detection performance effectively.展开更多
To increase the provision of rural public goods is a major task of Chinese new rural construction, while it can not do without the necessary supervision. This paper described the relationship between public choice the...To increase the provision of rural public goods is a major task of Chinese new rural construction, while it can not do without the necessary supervision. This paper described the relationship between public choice theory and the provision of rural public goods and it was a basis for in-depth study of the government＇s subject behavior from the perspective of public choice, and led to the necessity of regulation of rural public goods provision in rural areas, then it presented a strengthen monitoring of the rationalization proposals.展开更多
文摘Background Zonal application maps are designed to represent field variability using key variables that can be translated into tailored management practices.For cotton,zonal maps for crop growth regulator(CGR)applications under variable-rate(VR)strategies are commonly based exclusively on vegetation indices(VIs)variability.However,VIs often saturate in dense crop vegetation areas,limiting their effectiveness in distinguishing variability in crop growth.This study aimed to compare unsupervised framework(UF)and supervised framework(SUF)approaches for generat-ing zonal application maps for CGR under VR conditions.During 2022-2023 agricultural seasons,an UF was employed to generate zonal maps based on locally collected field data on plant height of cotton,satellite imagery,soil texture,and phenology data.Subsequently,a SUF(based on historical data between 2020-2021 to 2022-2023 agricultural seasons)was developed to predict plant height using remote sensing and phenology data,aiming to replicate same zonal maps but without relying on direct field measurements of plant height.Both approaches were tested in three fields and on two different dates per field.Results The predictive model for plant height of SUF performed well,as indicated by the model metrics.However,when comparing zonal application maps for specific field-date combinations,the predicted plant height exhibited lower variability compared with field measurements.This led to variable compatibility between SUF maps,which utilized the model predictions,and the UF maps,which were based on the real field data.Fields characterized by much pronounced soil texture variability yielded the highest compatibility between the zonal application maps produced by both SUF and UF approaches.This was predominantly due to the greater consistency in estimating plant development patterns within these heterogeneous field environments.While VR application approach can facilitate product savings during the application operation,other key factors must be considered.These include the availability of specialized machinery required for this type of applications,as well as the inherent operational costs associated with applying a single CGR product which differs from the typical uniform rate applications that often integrate multi-ple inputs.Conclusion Predictive modeling shows promise for assisting in the creation of zonal application maps for VR of CGR applications.However,the degree of agreement with the actual variability in crop growth found in the field should be evaluated on a field-by-field basis.The SUF approach,which is based on plant heigh prediction,demonstrated potential for supporting the development of zonal application maps for VR of CGR applications.However,the degree to which this approach aligns itself with the actual variability in crop growth observed in the field may vary,necessi-tating field-by-field evaluation.
文摘Rare labeled data are difficult to recognize by using conventional methods in the process of radar emitter recogni-tion.To solve this problem,an optimized cooperative semi-supervised learning radar emitter recognition method based on a small amount of labeled data is developed.First,a small amount of labeled data are randomly sampled by using the bootstrap method,loss functions for three common deep learning net-works are improved,the uniform distribution and cross-entropy function are combined to reduce the overconfidence of softmax classification.Subsequently,the dataset obtained after sam-pling is adopted to train three improved networks so as to build the initial model.In addition,the unlabeled data are preliminarily screened through dynamic time warping(DTW)and then input into the initial model trained previously for judgment.If the judg-ment results of two or more networks are consistent,the unla-beled data are labeled and put into the labeled data set.Lastly,the three network models are input into the labeled dataset for training,and the final model is built.As revealed by the simula-tion results,the semi-supervised learning method adopted in this paper is capable of exploiting a small amount of labeled data and basically achieving the accuracy of labeled data recognition.
基金supported by Chiang Mai University Research Fund under the contract number T-M5744
文摘A method that applies clustering technique to reduce the number of samples of large data sets using input-output clustering is proposed.The proposed method clusters the output data into groups and clusters the input data in accordance with the groups of output data.Then,a set of prototypes are selected from the clustered input data.The inessential data can be ultimately discarded from the data set.The proposed method can reduce the effect from outliers because only the prototypes are used.This method is applied to reduce the data set in regression problems.Two standard synthetic data sets and three standard real-world data sets are used for evaluation.The root-mean-square errors are compared from support vector regression models trained with the original data sets and the corresponding instance-reduced data sets.From the experiments,the proposed method provides good results on the reduction and the reconstruction of the standard synthetic and real-world data sets.The numbers of instances of the synthetic data sets are decreased by 25%-69%.The reduction rates for the real-world data sets of the automobile miles per gallon and the 1990 census in CA are 46% and 57%,respectively.The reduction rate of 96% is very good for the electrocardiogram(ECG) data set because of the redundant and periodic nature of ECG signals.For all of the data sets,the regression results are similar to those from the corresponding original data sets.Therefore,the regression performance of the proposed method is good while only a fraction of the data is needed in the training process.
基金supported by the National Natural Science Foundation of China(72293573)the New Era Education Quality Project of Anhui Province(2022zyxwjxalk003)the Fundamental Research Funds for the Central Universities(YD2160004004,WK2040000090).
文摘This study analyses all A-share listed companies from 2015 to 2020 to empirically examine the impact of inquiry supervision on corporate value and the moderating influence of corporate social responsibility(CSR)on this relationship.Research has shown that inquiry supervision significantly reduces corporate value,and the corporate social responsibility previously performed by companies can weaken this negative impact.Furthermore,the heterogeneity test based on internal and external controls shows that the reputation protection effect of CSR is more significant for companies with a higher proportion of independent directors,companies with a higher proportion of institutional investors investing in stocks,regions with a higher degree of marketization,and regions with a higher level of rule of law.The research in this article validates the effectiveness of reputation protection and verifies that reputation protection,as an informal mechanism,is easier to fulfil a role in areas where formal mechanisms are perfect.In other words,formal and informal mechanisms appear to complement each other.These findings provide empirical insights into the governance of CSR.
基金supported by the National Natural Science Foundation of China (Grant No.62103432)supported by Young Talent fund of University Association for Science and Technology in Shaanxi, China(Grant No.20210108)。
文摘An impact point prediction(IPP) guidance based on supervised learning is proposed to address the problem of precise guidance for the ballistic missile in high maneuver penetration condition.An accurate ballistic trajectory model is applied to generate training samples,and ablation experiments are conducted to determine the mapping relationship between the flight state and the impact point.At the same time,the impact point coordinates are decoupled to improve the prediction accuracy,and the sigmoid activation function is improved to ameliorate the prediction efficiency.Therefore,an IPP neural network model,which solves the contradiction between the accuracy and the speed of the IPP,is established.In view of the performance deviation of the divert control system,the mapping relationship between the guidance parameters and the impact deviation is analysed based on the variational principle.In addition,a fast iterative model of guidance parameters is designed for reference to the Newton iteration method,which solves the nonlinear strong coupling problem of the guidance parameter solution.Monte Carlo simulation results show that the prediction accuracy of the impact point is high,with a 3 σ prediction error of 4.5 m,and the guidance method is robust,with a 3 σ error of 7.5 m.On the STM32F407 singlechip microcomputer,a single IPP takes about 2.374 ms,and a single guidance solution takes about9.936 ms,which has a good real-time performance and a certain engineering application value.
文摘Acta Veterinaria et Zootechnica Sinica(Chinese Journal of Animal and Veterinary Sciences,CJAVS)is one of the earliest scholarly journals in animal and veterinary sciences of China(first published in 1956).The CJAVS(now published monthly),is supervised by the China Association for Science and Technology(CAST),sponsored by Chinese Association of Animal Science and Veterinary Medicine(CAAV).and is edited by the Editorial Com-
文摘Over the past decade the world banking industry has grown significantly and this has led to increasing sophistication and complexity in its practices.The industry has been affected by changes in the way in which it is regulated and supervised,by changes in the nature of its products,by the way in which individual bank manages its own affairs and controls its assets and by the way in which it accounts to the outside world for its activities.These changes have probably been of more significance than those experienced in any other industry over the past few years.Hong Kong which is one of the foremost financial centres of the world,has experienced all of these changes,probably to a greater extent than most other parts of the world.Hong Kong is one of the world’s major international banking centres and has a thriving domestic banking community.There is a need to review our banking practices and their accounting and auditing implications.The BCCI and BCCHK events happened in mid—1991 should trigger us to further reassess the role of auditor(both external and internal)in this ever changing and fast moving industry in co—operation with local authorities such as the Banking Commission,Department of Monetary Affairs and Security Commission.A number of investigations and articles on the role of bank auditors have been done and written,these include the study of challenges faced by bank auditors in today’s environment (Seidman,1987),the examination of the changing role of the bank audit committee(Haugh and Bradley,1987)and new risks faced by bank auditors (Clark,1987).In this paper,we will try to identify some of the common problems which might have caused the banking crisis.We will examine the role of auditor and try to establish the responsibilities of auditor when performing an audit task in a banking environment with the view to reducing the chance of the crisis happening again,if not eliminated completely.The regulatory body will still be the Banking Commission,while auditor will assume a supporting role in the banking monitoring and reguatory functions.
文摘Erratum to：J.Cent.South Univ.（2014）21：3811-3820DOI：10.1007/s11771-014-2366-9The original version of this article unfortunately contained three mistakes.The mistakes are corrected as follows：1）The spelling of third author is incorrect.The correct name is Jae-Young PYUN.2）The information of corresponding author is incorrect.The correct information should be Goo-Rak KWON,Professor,PhD;Tel/Fax：＋98-711-7264102;E-mail：grkwon@chosun.ac.kr
基金the Research on Government Responsibility in the Process of Purchasing Public Service and the project of social science in Anhui Province(AHSKY 2014018)It is also a cooperation fund of the national administrative institute and one of the results of A Study on the Construction of the Responsibility List and the Government of the Rule of Law
文摘Decentralization and strengthening supervision are the two wings of the reform of administrative examination and approval system. At present, in the supervision process of Chinese government, the phenomenon of strict approval and slack supervision still exists in some local governments. And the dynamic supervision mechanism and supervision restriction mechanism of some local governments are still not perfect. These problems directly lead to"regulatory vacuum"and service absence and other circumstances. The existence of these circumstances will block the process of China's administrative examination and approval system reform. As a result to explore how to promote government supervision innovation and optimize government services is the first important thing, and then to create conditions for the rapid, stable and orderly progress of the administrative examination,what's more to approval system reform.Based on this thesis, the author realizes legal supervision, implement informatization supervision.It not only has increased normalized supervision, improve the administrative examination and approval all-round supervision mechanism, but also established the third party assessment normalization mechanism, and optimize the administrative examination and approval policy advocacy mechanism as well.
文摘Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework with parallel interference cancellation, a supervision decision algorithm based on pre-decision of probabilistic data association (PDA) and hard decision is proposed. The detection performance is analyzed and simulation is implemented to show that the supervision decision algorithm improves the detection performance effectively.
文摘To increase the provision of rural public goods is a major task of Chinese new rural construction, while it can not do without the necessary supervision. This paper described the relationship between public choice theory and the provision of rural public goods and it was a basis for in-depth study of the government＇s subject behavior from the perspective of public choice, and led to the necessity of regulation of rural public goods provision in rural areas, then it presented a strengthen monitoring of the rationalization proposals.
