This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dy...This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dynamic capabilities,plays a moderating role in the relation between resource investments and performance.This study,which focused on Taiwan’s SMEs,conducts a questionnaire survey using the hierarchical sampling technique,across various industries and geographic areas in Taiwan.The empirical findings reveal that R&D leverage as an essential leveler in resource management enhances resource advantages.展开更多
This study aims at providing explanations for how MNCs(multinational companies)proceed with their manipulation of resources and competencies in the entry process to a foreign market.To an increasing extent,such proces...This study aims at providing explanations for how MNCs(multinational companies)proceed with their manipulation of resources and competencies in the entry process to a foreign market.To an increasing extent,such processes perform as a staging process of resource leverage.This study identifies three stages,using the multiple case study incorporating grounded theory:the initial stage,the adaptive intensification stage,and the advantage persistence stage.In the initial stage,an MNC’s entry decision tends to be based on the resource replication mode of resource leverage;the resource exploitation mode of resource leverage is used mainly in the adaptive intensification stage,and the resource exploration mode is used in the advantage persistence stage.This study suggests that these resource leverage modes incorporating their microfoundations can be viewed as a set of potential measurements for examining MNCs'dynamic capabilities in the entry process to a new host market.展开更多
This study investigates the impacts of contraction flexibility and operating leverage onfinancial leverage from the perspective of the agency conflict between shareholders and debtholders.In a continuous-time real opt...This study investigates the impacts of contraction flexibility and operating leverage onfinancial leverage from the perspective of the agency conflict between shareholders and debtholders.In a continuous-time real option framework,we demonstrate that share-holders'contraction flexibility may have an adverse effect on financial leverage,and that the substitution relation between operating leverage andfinancial leverage is persistent or pronounced in the presence of contraction flexibility.The evidence from Chinese listedfirms not only supports our theoretical predictions well,but also offers a method to examine the agency conflict hypothesis.We suggest that the high proportion of bank loans or long-term debt in total liabilities can help levered firms alleviate the agency problem arising from contraction decisions.展开更多
In this study,we examine the relationship between job satisfaction and firm leverage using a sample of Chinese listed firms.We find that in a sample of‘‘China’s 100 Best Employers Award"winners during 2011–20...In this study,we examine the relationship between job satisfaction and firm leverage using a sample of Chinese listed firms.We find that in a sample of‘‘China’s 100 Best Employers Award"winners during 2011–2017,job satisfaction is negatively associated with firm leverage.The effect is more pronounced in firms with higher distress risk and operating in human capital intensive industries.We confirm the validity of the main findings using a matched sample and a series of robustness checks.Overall,our results indicate that firms can credibly demonstrate their commitment to stakeholders and re-shape their capital structure by improving job satisfaction.展开更多
The governance effects of directors’and officers’liability insurance(D&O insurance),an important tool for risk diversification,are of strong concern in the capital market.Using a sample of Chinese A-share listed...The governance effects of directors’and officers’liability insurance(D&O insurance),an important tool for risk diversification,are of strong concern in the capital market.Using a sample of Chinese A-share listed firms from2009 to 2018,we examine the impact of D&O insurance on excess corporate leverage.We find that D&O insurance is negatively associated with excess corporate leverage and that this result is consistent with a series of robustness tests.Further analyses show that D&O insurance impedes excess corporate leverage mainly because of its effect on external monitoring.The effect is more pronounced for firms that are state-owned,have political connections and are located in provinces with low marketization than for other firms.展开更多
The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this d...The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this development has expanded the potential targets that hackers might exploit.Without adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or alteration.The identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious attacks.This research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)units.The proposed model can identify various types of cyberattacks,including conventional and distinctive forms.Recurrent networks,a specific kind of feedforward neural networks,possess an intrinsic memory component.Recurrent Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended periods.Metrics such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual cyberattacks.RNNs are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection Model.This model utilises Recurrent Neural Networks,specifically exploiting LSTM techniques.The proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.展开更多
This study tries to investigate how firms adjust their leverage policy across the firm’s life cycle.For this purpose the study uses an extensive set of data of 867 A listed Chinese non-financial firms over a 19-year ...This study tries to investigate how firms adjust their leverage policy across the firm’s life cycle.For this purpose the study uses an extensive set of data of 867 A listed Chinese non-financial firms over a 19-year years period(1996-2014).The study employs Arellano-Bover/Blundell-Bond dynamic panel data model to estimate adjustment rate of leverage and its determinants in three different life stages of Chinese firms.We find that adjustment rate of leverage varies for different life stages.In accordance with trade off theory of capital structure this study reports a low-high-low pattern of leverage across growth,maturity and decline stage of firms’life respectively.For total leverage,dynamic panel data reports highest adjustment rate for growing firms,followed by mature firms and firms in declining stage of their life.Both short term and long term leverage report similar pattern of leverage’s adjustment rate across the three stages of life cycle.The study provides useful insight in a unique market setting of Chinese financial markets.展开更多
Given the unique market setting and institutional environment of China,this study tries to investigate targeting behavior of Chinese firms towards leverage and the determinants of leverage policy in China at various l...Given the unique market setting and institutional environment of China,this study tries to investigate targeting behavior of Chinese firms towards leverage and the determinants of leverage policy in China at various levels.For this purpose,we use an extensive set of data of 760 firms over a period from 2001 to 2013.To investigate the adjustment behavior towards target leverage policy,this study uses the GMM(Generalized Method of Moments)models of Arellano and Bover(1995)/Blundell and Bond(2000)to estimate the adjustment behavior and adjustment speed towards a target level of leverage.The study finds that Chinese firms have a target level of leverage and try to adjust to their target.We find that adjustment rate of Chinese state-owned enterprises is higher than Chinese non-state-owned enterprises,indicating an aggressive leverage policy for SOEs(state-owned enterprises).Further,we find that some firm-level factors like firm size and growth opportunities have significant and positive effect on firms leverage.Profitability and firm liquidity is found to have a negative relationship with firm leverage.At country level,GDP is found to have positive impact of firm leverage policy.The negative relationship of lending rate with leverage shows that firms in China reduce debt financing when lending rates in the market increase.All these findings indicate significant policy implications for Chinese firms.At adjustment level,regulatory bodies should ensure that all firms are at ease while raising their debt and thus avoid a pecking order in lending policy.At industry level,institutions should try to curtail industry concentration to provide an equal ground of debt issuing to the firms.展开更多
This paper takes the 2004-2016 non-financial listed companies on Shanghai and Shenzhen stock exchanges as research samples,combined with urban and macro-level data about land use right transfer in prefecture-level cit...This paper takes the 2004-2016 non-financial listed companies on Shanghai and Shenzhen stock exchanges as research samples,combined with urban and macro-level data about land use right transfer in prefecture-level cities,and tries to capture the intrinsic link between land finance and leverage of non-financial listed companies.The study finds that the increase in local govermments'reliance on land finance will increase the probability of corporate overleverage.In the case of introducing control variables that may interfere with the cstimation results and using instrumental variables to alleviate the potential endogeneity,the conclusion remains robust.On this basis,this paper further studies the relationship between land finance and corporate solvency and sustainable development capability.It finds that the increase in reliance on land finance will increase the company's short-term solvency risk and future solvency pressure,while reducing the profitability and sustainability of overleveraged companies.This phenomenon is particulatly evident in high-leveraged companies such as real estate companies in regions with lower collateral value,state-owned enterprises,and enterprises in the eastem region.This paper provides a new perspective for further understanding of the high leverage among non-financial enterprises and the prevention and resolution of debt risks in the context of China's supply-side structural reform.展开更多
The rapid rise of leverage in Chinese household sector in recent years has attracted considerable attention,and high housing prices might be the main reason for the phenomenon.Do different house-buying motivations of ...The rapid rise of leverage in Chinese household sector in recent years has attracted considerable attention,and high housing prices might be the main reason for the phenomenon.Do different house-buying motivations of households give an impetus to it?Researching this problem is of great importance to understand mechanisms for the formation of household leverage and taking targeted housing policies.Theoretical analysis in this paper fi nds that if house-buying motivation that was speculative was quite obvious,rising housing prices would result in the leverage of non-fi rst-house(NFH)households outpacing that of first-house(FH)households.On this basis,we conducted empirical analysis with a state-owned bank’s all housing mortgage loan data on 70 large and medium-sized cities for 2016 and the IV(instrumental variables)and DID(differences-in-differences)methods,and compared the two types of households from the inter-city and intra-city dimensions.The result showed that rising housing prices indeed drive up the debt balance and leverage of NFH households significantly more than those of FH households.Furthermore,our research found that a rise in housing prices has prompted NFH households to be more inclined to make the most use of mortgage policies with no substantial housing difference.To curb excessive leverage increase in the household sector,therefore,apart from regulating high expectations of housing prices,there should be stepped-up credit constraints on NFH households,thus restricting their behavior of excessive speculation.展开更多
The new financial industry represented by peer-to-peer lending has gradually become a new source of volatility due to the increasing complexity of the Chinese financial market.This volatility leads to greater risk to ...The new financial industry represented by peer-to-peer lending has gradually become a new source of volatility due to the increasing complexity of the Chinese financial market.This volatility leads to greater risk to P2P investors and has become the focus of the regulatory authorities in China.Based on the background data of the P2P platform,Honglingchuangtou,we use the factor analysis method to construct a platform volatility(PV)index and we construct an HAR model to study the heterogeneous traders and leverage effect in the Chinese P2P market.The empirical results show that there are both short-term and long-term heterogeneous traders in the Chinese P2P market and that long-term traders have the greatest impact on market volatility.Similar to traditional financial markets,the volatility of the P2P market also shows a leverage effect,which means that the negative volatility of trader actions should have a negative impact on market fluctuations.With regard to the leverage effect,the LHAR-PV model is superior because of a higher goodness of fit and a lower prediction error.展开更多
The braking quality is considered the main execution of the adaptive control framework that impacts the vehicle safety and rides solace astoundingly notably the stopping distance.This research work aims to create a pa...The braking quality is considered the main execution of the adaptive control framework that impacts the vehicle safety and rides solace astoundingly notably the stopping distance.This research work aims to create a pattern and design of an electromechanically adjusted lever that multiplies the applied braking force depending on the inputs given by the sensors to reduce the stopping distance of the vehicle.It is carried out using two main parts of the two-wheeler vehicle:thefirst part deals with the detection of load acting on the vehicle and identifying the required braking force to be applied,and the second part deals with the micro-controller which activates the stepper motor for varying the mechanical leverage ratio from various loads on the vehicle using two actively movable wedges.The electromechanically operated variable braking force system is developed to actuate the braking system based on the load on the motorcycle.The MATLAB simulation and experimental work are carried out for various loading(driver and pillion)conditions on a two-wheeler.The results indicate that the proposed electronically operated braking system is more effective than the conventional braking system for various loads and vehicle speeds.Specifically,the stopping distance of the vehicle is decreased significantly by about 4.9%between the con-ventional braking system and the simulated proposed system.Further,the experi-mental results show that the stopping distance is condensed by about 4.1%.The validation between simulated and experimental results revealed a great deal with the least error percentage of about 0.8%.展开更多
Hydrates always are considered as a threat to petroleum industry due to the operational problems it can cause.These problems could result in reducing production performance or even production stoppage for a long time....Hydrates always are considered as a threat to petroleum industry due to the operational problems it can cause.These problems could result in reducing production performance or even production stoppage for a long time.In this paper, we were intended to develop a LSSVM algorithm for prognosticating hydrate formation temperature(HFT) in a wide range of natural gas mixtures. A total number of 279 experimental data points were extracted from open literature to develop the LSSVM. The input parameters were chosen based on the hydrate structure that each gas species form. The modeling resulted in a robust algorithm with the squared correlation coefficients(R^2) of 0.9918. Aside from the excellent statistical parameters of the model, comparing proposed LSSVM with some of conventional correlations showed its supremacy, particularly in the case of sour gases with high H_2S concentrations, where the model surpasses all correlations and existing thermodynamic models. For detection of the probable doubtful experimental data, and applicability of the model, the Leverage statistical approach was performed on the data sets. This algorithm showed that the proposed LSSVM model is statistically valid for HFT prediction and almost all the data points are in the applicability domain of the model.展开更多
文摘This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dynamic capabilities,plays a moderating role in the relation between resource investments and performance.This study,which focused on Taiwan’s SMEs,conducts a questionnaire survey using the hierarchical sampling technique,across various industries and geographic areas in Taiwan.The empirical findings reveal that R&D leverage as an essential leveler in resource management enhances resource advantages.
文摘This study aims at providing explanations for how MNCs(multinational companies)proceed with their manipulation of resources and competencies in the entry process to a foreign market.To an increasing extent,such processes perform as a staging process of resource leverage.This study identifies three stages,using the multiple case study incorporating grounded theory:the initial stage,the adaptive intensification stage,and the advantage persistence stage.In the initial stage,an MNC’s entry decision tends to be based on the resource replication mode of resource leverage;the resource exploitation mode of resource leverage is used mainly in the adaptive intensification stage,and the resource exploration mode is used in the advantage persistence stage.This study suggests that these resource leverage modes incorporating their microfoundations can be viewed as a set of potential measurements for examining MNCs'dynamic capabilities in the entry process to a new host market.
基金Financial supports from National Natural Science Foundation of China(Grant No.of 71472025 and 71972027)the Fund for Cultural Celebrity and Talents(Grant No.of[2015]49)are gratefully acknowledged.
文摘This study investigates the impacts of contraction flexibility and operating leverage onfinancial leverage from the perspective of the agency conflict between shareholders and debtholders.In a continuous-time real option framework,we demonstrate that share-holders'contraction flexibility may have an adverse effect on financial leverage,and that the substitution relation between operating leverage andfinancial leverage is persistent or pronounced in the presence of contraction flexibility.The evidence from Chinese listedfirms not only supports our theoretical predictions well,but also offers a method to examine the agency conflict hypothesis.We suggest that the high proportion of bank loans or long-term debt in total liabilities can help levered firms alleviate the agency problem arising from contraction decisions.
基金financial support from the National Natural Science Foundation of China(No.71802113 and No.71802170)the financial supports from China Ministry of Education(19YJA790038)the Key Laboratory of Econometrics(Xiamen University)
文摘In this study,we examine the relationship between job satisfaction and firm leverage using a sample of Chinese listed firms.We find that in a sample of‘‘China’s 100 Best Employers Award"winners during 2011–2017,job satisfaction is negatively associated with firm leverage.The effect is more pronounced in firms with higher distress risk and operating in human capital intensive industries.We confirm the validity of the main findings using a matched sample and a series of robustness checks.Overall,our results indicate that firms can credibly demonstrate their commitment to stakeholders and re-shape their capital structure by improving job satisfaction.
基金supported by the National Social Science Youth Foundation of China(Project No.20CGL014)the Social Science Planning Project in Chongqing,China(Project No.2021BS084)
文摘The governance effects of directors’and officers’liability insurance(D&O insurance),an important tool for risk diversification,are of strong concern in the capital market.Using a sample of Chinese A-share listed firms from2009 to 2018,we examine the impact of D&O insurance on excess corporate leverage.We find that D&O insurance is negatively associated with excess corporate leverage and that this result is consistent with a series of robustness tests.Further analyses show that D&O insurance impedes excess corporate leverage mainly because of its effect on external monitoring.The effect is more pronounced for firms that are state-owned,have political connections and are located in provinces with low marketization than for other firms.
基金This work was supported partially by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)Support Program(IITP-2024-2018-0-01431)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
文摘The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this development has expanded the potential targets that hackers might exploit.Without adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or alteration.The identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious attacks.This research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)units.The proposed model can identify various types of cyberattacks,including conventional and distinctive forms.Recurrent networks,a specific kind of feedforward neural networks,possess an intrinsic memory component.Recurrent Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended periods.Metrics such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual cyberattacks.RNNs are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection Model.This model utilises Recurrent Neural Networks,specifically exploiting LSTM techniques.The proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.
文摘This study tries to investigate how firms adjust their leverage policy across the firm’s life cycle.For this purpose the study uses an extensive set of data of 867 A listed Chinese non-financial firms over a 19-year years period(1996-2014).The study employs Arellano-Bover/Blundell-Bond dynamic panel data model to estimate adjustment rate of leverage and its determinants in three different life stages of Chinese firms.We find that adjustment rate of leverage varies for different life stages.In accordance with trade off theory of capital structure this study reports a low-high-low pattern of leverage across growth,maturity and decline stage of firms’life respectively.For total leverage,dynamic panel data reports highest adjustment rate for growing firms,followed by mature firms and firms in declining stage of their life.Both short term and long term leverage report similar pattern of leverage’s adjustment rate across the three stages of life cycle.The study provides useful insight in a unique market setting of Chinese financial markets.
文摘Given the unique market setting and institutional environment of China,this study tries to investigate targeting behavior of Chinese firms towards leverage and the determinants of leverage policy in China at various levels.For this purpose,we use an extensive set of data of 760 firms over a period from 2001 to 2013.To investigate the adjustment behavior towards target leverage policy,this study uses the GMM(Generalized Method of Moments)models of Arellano and Bover(1995)/Blundell and Bond(2000)to estimate the adjustment behavior and adjustment speed towards a target level of leverage.The study finds that Chinese firms have a target level of leverage and try to adjust to their target.We find that adjustment rate of Chinese state-owned enterprises is higher than Chinese non-state-owned enterprises,indicating an aggressive leverage policy for SOEs(state-owned enterprises).Further,we find that some firm-level factors like firm size and growth opportunities have significant and positive effect on firms leverage.Profitability and firm liquidity is found to have a negative relationship with firm leverage.At country level,GDP is found to have positive impact of firm leverage policy.The negative relationship of lending rate with leverage shows that firms in China reduce debt financing when lending rates in the market increase.All these findings indicate significant policy implications for Chinese firms.At adjustment level,regulatory bodies should ensure that all firms are at ease while raising their debt and thus avoid a pecking order in lending policy.At industry level,institutions should try to curtail industry concentration to provide an equal ground of debt issuing to the firms.
基金National Social Science Fund Project" The Impact of Land Finance on the Real Economy and the Reconstruction of Corresponding Incentive System from the Perspective of Financial Instruments"(17BJL037).
文摘This paper takes the 2004-2016 non-financial listed companies on Shanghai and Shenzhen stock exchanges as research samples,combined with urban and macro-level data about land use right transfer in prefecture-level cities,and tries to capture the intrinsic link between land finance and leverage of non-financial listed companies.The study finds that the increase in local govermments'reliance on land finance will increase the probability of corporate overleverage.In the case of introducing control variables that may interfere with the cstimation results and using instrumental variables to alleviate the potential endogeneity,the conclusion remains robust.On this basis,this paper further studies the relationship between land finance and corporate solvency and sustainable development capability.It finds that the increase in reliance on land finance will increase the company's short-term solvency risk and future solvency pressure,while reducing the profitability and sustainability of overleveraged companies.This phenomenon is particulatly evident in high-leveraged companies such as real estate companies in regions with lower collateral value,state-owned enterprises,and enterprises in the eastem region.This paper provides a new perspective for further understanding of the high leverage among non-financial enterprises and the prevention and resolution of debt risks in the context of China's supply-side structural reform.
基金funded by the“Research on Risk Prevention and Supervision Relating to High Economic Leverage in China in the Context of Economic Transformation in the New Age”(18VSJ073)—the National Social Science Fund of China key special program aimed at researching and expounding the spirit of the 19th National Congress of the Communist Party of Chinathe“Research on Audit Supervision and Early-Warning over Macroeconomic Risk in a Big-data Environment”(71950010)—the National Natural Science Fundation of China special programand the“Research into the Cause of High Leverage of Chinese Families and Its Macroeconomic Effects:From the Perspective of Family Heterogeneity”(116020204002)—the double fi rst-rate doctor program of the Institute of Chinese Financial Studies,SWUFE.
文摘The rapid rise of leverage in Chinese household sector in recent years has attracted considerable attention,and high housing prices might be the main reason for the phenomenon.Do different house-buying motivations of households give an impetus to it?Researching this problem is of great importance to understand mechanisms for the formation of household leverage and taking targeted housing policies.Theoretical analysis in this paper fi nds that if house-buying motivation that was speculative was quite obvious,rising housing prices would result in the leverage of non-fi rst-house(NFH)households outpacing that of first-house(FH)households.On this basis,we conducted empirical analysis with a state-owned bank’s all housing mortgage loan data on 70 large and medium-sized cities for 2016 and the IV(instrumental variables)and DID(differences-in-differences)methods,and compared the two types of households from the inter-city and intra-city dimensions.The result showed that rising housing prices indeed drive up the debt balance and leverage of NFH households significantly more than those of FH households.Furthermore,our research found that a rise in housing prices has prompted NFH households to be more inclined to make the most use of mortgage policies with no substantial housing difference.To curb excessive leverage increase in the household sector,therefore,apart from regulating high expectations of housing prices,there should be stepped-up credit constraints on NFH households,thus restricting their behavior of excessive speculation.
基金This work is partially supported by the grants from the Key Programs of the National Natural Science Foundation of China(NSFC No.71631005)the National Natural Science Foundation of China(NSFC No.71471161)the Key Programs of the National Social Science Foundation of China(No.17ZDA074).
文摘The new financial industry represented by peer-to-peer lending has gradually become a new source of volatility due to the increasing complexity of the Chinese financial market.This volatility leads to greater risk to P2P investors and has become the focus of the regulatory authorities in China.Based on the background data of the P2P platform,Honglingchuangtou,we use the factor analysis method to construct a platform volatility(PV)index and we construct an HAR model to study the heterogeneous traders and leverage effect in the Chinese P2P market.The empirical results show that there are both short-term and long-term heterogeneous traders in the Chinese P2P market and that long-term traders have the greatest impact on market volatility.Similar to traditional financial markets,the volatility of the P2P market also shows a leverage effect,which means that the negative volatility of trader actions should have a negative impact on market fluctuations.With regard to the leverage effect,the LHAR-PV model is superior because of a higher goodness of fit and a lower prediction error.
文摘The braking quality is considered the main execution of the adaptive control framework that impacts the vehicle safety and rides solace astoundingly notably the stopping distance.This research work aims to create a pattern and design of an electromechanically adjusted lever that multiplies the applied braking force depending on the inputs given by the sensors to reduce the stopping distance of the vehicle.It is carried out using two main parts of the two-wheeler vehicle:thefirst part deals with the detection of load acting on the vehicle and identifying the required braking force to be applied,and the second part deals with the micro-controller which activates the stepper motor for varying the mechanical leverage ratio from various loads on the vehicle using two actively movable wedges.The electromechanically operated variable braking force system is developed to actuate the braking system based on the load on the motorcycle.The MATLAB simulation and experimental work are carried out for various loading(driver and pillion)conditions on a two-wheeler.The results indicate that the proposed electronically operated braking system is more effective than the conventional braking system for various loads and vehicle speeds.Specifically,the stopping distance of the vehicle is decreased significantly by about 4.9%between the con-ventional braking system and the simulated proposed system.Further,the experi-mental results show that the stopping distance is condensed by about 4.1%.The validation between simulated and experimental results revealed a great deal with the least error percentage of about 0.8%.
文摘Hydrates always are considered as a threat to petroleum industry due to the operational problems it can cause.These problems could result in reducing production performance or even production stoppage for a long time.In this paper, we were intended to develop a LSSVM algorithm for prognosticating hydrate formation temperature(HFT) in a wide range of natural gas mixtures. A total number of 279 experimental data points were extracted from open literature to develop the LSSVM. The input parameters were chosen based on the hydrate structure that each gas species form. The modeling resulted in a robust algorithm with the squared correlation coefficients(R^2) of 0.9918. Aside from the excellent statistical parameters of the model, comparing proposed LSSVM with some of conventional correlations showed its supremacy, particularly in the case of sour gases with high H_2S concentrations, where the model surpasses all correlations and existing thermodynamic models. For detection of the probable doubtful experimental data, and applicability of the model, the Leverage statistical approach was performed on the data sets. This algorithm showed that the proposed LSSVM model is statistically valid for HFT prediction and almost all the data points are in the applicability domain of the model.
