The 3rd Mudan Cup China International Auto Exhibition (Vietnam & Cambodia) was held in January 28, 2005 in Phnom Penh Hotel. This is the first debut of Chinese autos in Cambodia. 11 buses, 12 seats tourism van... The 3rd Mudan Cup China International Auto Exhibition (Vietnam & Cambodia) was held in January 28, 2005 in Phnom Penh Hotel. This is the first debut of Chinese autos in Cambodia. 11 buses, 12 seats tourism vans, cargo vans and trucks and 9 motorcycles of different brands showed Cambodians the real Chinese famous brands and high-quality automobiles. The 3rd "Mudan Cup"China International Auto Exhibition Tour was organized by the Society of Automotive Engineers of China, Department of Media and Press of CCPIT, Cambodia Tang Ren International Co., Ltd.,Cambodia Kaide Trade Co., Ltd. andChina Grand River Group.……展开更多
After the second world war, Japan and Korea realized their dream for automobiles. The development of the automobile industry has given an impetus to their whole national economy. When will the Chinese dream for automo...After the second world war, Japan and Korea realized their dream for automobiles. The development of the automobile industry has given an impetus to their whole national economy. When will the Chinese dream for automobiles come true? With this question in mind, our reporter interviewed Mr. Miao Yu. He briefed the reporter on the past,展开更多
In the year of 2006, China produced and sold over 7.2 million automobiles, representing a year-on-year growth of more than 25%. In this regard, China has become .the second largest market only to the U.S. for new auto...In the year of 2006, China produced and sold over 7.2 million automobiles, representing a year-on-year growth of more than 25%. In this regard, China has become .the second largest market only to the U.S. for new autos. By the end of last year, the w total amount of autos owned by China stood around 40 million, and it was predicted that this figure would roar to 70 million 3 years later.展开更多
In this research study,magnesium-aluminum(Mg-Al)bimetallic oxide powders are synthesized via the sol-gel auto combustion method using diethanolamine(DEA)as the fuel.In order to subsequently determine the influence of ...In this research study,magnesium-aluminum(Mg-Al)bimetallic oxide powders are synthesized via the sol-gel auto combustion method using diethanolamine(DEA)as the fuel.In order to subsequently determine the influence of calcination temperatures upon the structure,chemical bonding,morphology,optical properties,and fluorescence properties of the as-synthesized and calcined Mg-Al bimetallic oxide powders,the researcher employed X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FT-IR),scanning electron microscopy(SEM),transmission electron microscopy(TEM),UV–visible diffuse reflectance spectroscopy(UV-DRS),and photoluminescence spectroscopy(PL),respectively.It was apparent on the basis of the XRD and FT-IR analyses that those powders undergoing calcination at temperatures of 500℃,700℃,and 900℃contained the major phase magnesium aluminate(Mg Al_(2)O_(4))spinel with trace magnesium oxide(Mg O)and hydrotalcite(Mg_(6)Al_(2)(CO_(3))(OH)_(16)).When the calcination temperature rose to 1100℃,this resulted in a single phase MgAl_(2)O_(4)while MgO and(Mg_(6)Al_(2)(CO_(3))(OH)_(16))were no longer observed.UV-DRS analysis revealed that in optimized conditions,calcination resulted in better sample absorption and reflection levels when compared to the ultraviolet,visible,and infrared spectra observed in the case of the as-synthesized sample.The bandgap energy(E_(g))for calcined samples was in the range of 2.65 e V to 5.85 e V,in contrast to the value of 4.10 e V for the as-synthesized sample.Analysis of photoluminescence showed that for the as-synthesized samples and those calcined at low temperatures,visible light was emitted only in the violet,blue,and green regions with low intensity,while for samples calcined at higher temperatures,the emissions showed greater intensity and extended to the yellow and orange regions.Multiple defect centers were found in the bandgap which can explain these findings.展开更多
Healthcare networks prove to be an urgent issue in terms of intrusion detection due to the critical consequences of cyber threats and the extreme sensitivity of medical information.The proposed Auto-Stack ID in the st...Healthcare networks prove to be an urgent issue in terms of intrusion detection due to the critical consequences of cyber threats and the extreme sensitivity of medical information.The proposed Auto-Stack ID in the study is a stacked ensemble of encoder-enhanced auctions that can be used to improve intrusion detection in healthcare networks.TheWUSTL-EHMS 2020 dataset trains and evaluates themodel,constituting an imbalanced class distribution(87.46% normal traffic and 12.53% intrusion attacks).To address this imbalance,the study balances the effect of training Bias through Stratified K-fold cross-validation(K=5),so that each class is represented similarly on training and validation splits.Second,the Auto-Stack ID method combines many base classifiers such as TabNet,LightGBM,Gaussian Naive Bayes,Histogram-Based Gradient Boosting(HGB),and Logistic Regression.We apply a two-stage training process based on the first stage,where we have base classifiers that predict out-of-fold(OOF)predictions,which we use as inputs for the second-stage meta-learner XGBoost.The meta-learner learns to refine predictions to capture complicated interactions between base models,thus improving detection accuracy without introducing bias,overfitting,or requiring domain knowledge of the meta-data.In addition,the auto-stack ID model got 98.41% accuracy and 93.45%F1 score,better than individual classifiers.It can identify intrusions due to its 90.55% recall and 96.53% precision with minimal false positives.These findings identify its suitability in ensuring healthcare networks’security through ensemble learning.Ongoing efforts will be deployed in real time to improve response to evolving threats.展开更多
To address the issues of low solving efficiency and poor decoupling accuracy in existing six-axis acceleration decoupling algorithms,a new decoupling algorithm is proposed along with a corresponding auto-compensation ...To address the issues of low solving efficiency and poor decoupling accuracy in existing six-axis acceleration decoupling algorithms,a new decoupling algorithm is proposed along with a corresponding auto-compensation algorithm.Firstly,based on Kane’s method,the dynamics model of the six-axis acceleration sensing mechanism is formed to determine the relationship between accelerations and branch forces.Then,with the trapezoidal rule,a solution algorithm for the dynamics model is developed.The virtual prototype tests show that the computation of this algorithm is five times more efficient than that of the ADAMS core algorithm.Besides,this solution algorithm is applied to the“12-6”configuration and“9-3”configuration.The results show that the efficiency of the former is nearly 3.3 times that of the latter.Finally,based on vibration theory,an auto-compensation algorithm for the solution algorithm is established.Virtual prototype tests indicate that with 40%noise interference,the auto-compensation algorithm achieves misjudgement rate and omission rate of only 4.0%and 4.5%,respectively,and the errors in the solving process converge.展开更多
On July 17,2024,Chinese electric vehicle manufacturer GAC International opened a smart factory in Rayong Province,Thailand.The next day,then Prime Minister of Thailand Saita Thawaixin met with a delegation led by Zeng...On July 17,2024,Chinese electric vehicle manufacturer GAC International opened a smart factory in Rayong Province,Thailand.The next day,then Prime Minister of Thailand Saita Thawaixin met with a delegation led by Zeng Qinghong,chairman of GAC Group.He encouraged GAC to purchase various spare parts in Thailand to enhance Thailand’s position in the global electric vehicle industry supply chain.“Thailand has a favorable business environment,”Zeng responded.“As the location of GAC’s first wholly-owned overseas facility,it was our premier choice.”展开更多
The 2025 Shanghai Auto Show reaffirmed its role as one of the world’s most influential automotive industry events,offering a panoramic view of the future shaped by intelligent and electrified vehicles.With over 200 n...The 2025 Shanghai Auto Show reaffirmed its role as one of the world’s most influential automotive industry events,offering a panoramic view of the future shaped by intelligent and electrified vehicles.With over 200 new models on display-85 percent of them new energy vehicles-this year’s show spotlighted how the global auto industry is pivoting rapidly towards an era of software-defined and AI-powered mobility.展开更多
Firstly,based on the data of air quality and the meteorological data in Baoding City from 2017 to 2021,the correlations of meteorological elements and pollutants with O_(3)concentration were explored to determine the ...Firstly,based on the data of air quality and the meteorological data in Baoding City from 2017 to 2021,the correlations of meteorological elements and pollutants with O_(3)concentration were explored to determine the forecast factors of forecast models.Secondly,the O_(3)-8h concentration in Baoding City in 2021 was predicted based on the constructed models of multiple linear regression(MLR),backward propagation neural network(BPNN),and auto regressive integrated moving average(ARIMA),and the predicted values were compared with the observed values to test their prediction effects.The results show that overall,the MLR,BPNN and ARIMA models were able to forecast the changing trend of O_(3)-8h concentration in Baoding in 2021,but the BPNN model gave better forecast results than the ARIMA and MLR models,especially for the prediction of the high values of O_(3)-8h concentration,and the correlation coefficients between the predicted values and the observed values were all higher than 0.9 during June-September.The mean error(ME),mean absolute error(MAE),and root mean square error(RMSE)of the predicted values and the observed values of daily O_(3)-8h concentration based on the BPNN model were 0.45,19.11 and 24.41μg/m 3,respectively,which were significantly better than those of the MLR and ARIMA models.The prediction effects of the MLR,BPNN and ARIMA models were the best at the pollution level,followed by the excellent level,and it was the worst at the good level.In comparison,the prediction effect of BPNN model was better than that of the MLR and ARIMA models as a whole,especially for the pollution and excellent levels.The TS scores of the BPNN model were all above 66%,and the PC values were above 86%.The BPNN model can forecast the changing trend of O_(3)concentration more accurately,and has a good practical application value,but at the same time,the predicted high values of O_(3)concentration should be appropriately increased according to error characteristics of the model.展开更多
文摘 The 3rd Mudan Cup China International Auto Exhibition (Vietnam & Cambodia) was held in January 28, 2005 in Phnom Penh Hotel. This is the first debut of Chinese autos in Cambodia. 11 buses, 12 seats tourism vans, cargo vans and trucks and 9 motorcycles of different brands showed Cambodians the real Chinese famous brands and high-quality automobiles. The 3rd "Mudan Cup"China International Auto Exhibition Tour was organized by the Society of Automotive Engineers of China, Department of Media and Press of CCPIT, Cambodia Tang Ren International Co., Ltd.,Cambodia Kaide Trade Co., Ltd. andChina Grand River Group.……
文摘After the second world war, Japan and Korea realized their dream for automobiles. The development of the automobile industry has given an impetus to their whole national economy. When will the Chinese dream for automobiles come true? With this question in mind, our reporter interviewed Mr. Miao Yu. He briefed the reporter on the past,
文摘In the year of 2006, China produced and sold over 7.2 million automobiles, representing a year-on-year growth of more than 25%. In this regard, China has become .the second largest market only to the U.S. for new autos. By the end of last year, the w total amount of autos owned by China stood around 40 million, and it was predicted that this figure would roar to 70 million 3 years later.
基金financial supported from the Thailand Research Fund,Office of the Higher Education Commission(Grant number MRG6280220)。
文摘In this research study,magnesium-aluminum(Mg-Al)bimetallic oxide powders are synthesized via the sol-gel auto combustion method using diethanolamine(DEA)as the fuel.In order to subsequently determine the influence of calcination temperatures upon the structure,chemical bonding,morphology,optical properties,and fluorescence properties of the as-synthesized and calcined Mg-Al bimetallic oxide powders,the researcher employed X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FT-IR),scanning electron microscopy(SEM),transmission electron microscopy(TEM),UV–visible diffuse reflectance spectroscopy(UV-DRS),and photoluminescence spectroscopy(PL),respectively.It was apparent on the basis of the XRD and FT-IR analyses that those powders undergoing calcination at temperatures of 500℃,700℃,and 900℃contained the major phase magnesium aluminate(Mg Al_(2)O_(4))spinel with trace magnesium oxide(Mg O)and hydrotalcite(Mg_(6)Al_(2)(CO_(3))(OH)_(16)).When the calcination temperature rose to 1100℃,this resulted in a single phase MgAl_(2)O_(4)while MgO and(Mg_(6)Al_(2)(CO_(3))(OH)_(16))were no longer observed.UV-DRS analysis revealed that in optimized conditions,calcination resulted in better sample absorption and reflection levels when compared to the ultraviolet,visible,and infrared spectra observed in the case of the as-synthesized sample.The bandgap energy(E_(g))for calcined samples was in the range of 2.65 e V to 5.85 e V,in contrast to the value of 4.10 e V for the as-synthesized sample.Analysis of photoluminescence showed that for the as-synthesized samples and those calcined at low temperatures,visible light was emitted only in the violet,blue,and green regions with low intensity,while for samples calcined at higher temperatures,the emissions showed greater intensity and extended to the yellow and orange regions.Multiple defect centers were found in the bandgap which can explain these findings.
基金funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R319),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia and Prince Sultan University for covering the article processing charges(APC)associated with this publicationResearchers Supporting Project Number(RSPD2025R1107),King Saud University,Riyadh,Saudi Arabia.
文摘Healthcare networks prove to be an urgent issue in terms of intrusion detection due to the critical consequences of cyber threats and the extreme sensitivity of medical information.The proposed Auto-Stack ID in the study is a stacked ensemble of encoder-enhanced auctions that can be used to improve intrusion detection in healthcare networks.TheWUSTL-EHMS 2020 dataset trains and evaluates themodel,constituting an imbalanced class distribution(87.46% normal traffic and 12.53% intrusion attacks).To address this imbalance,the study balances the effect of training Bias through Stratified K-fold cross-validation(K=5),so that each class is represented similarly on training and validation splits.Second,the Auto-Stack ID method combines many base classifiers such as TabNet,LightGBM,Gaussian Naive Bayes,Histogram-Based Gradient Boosting(HGB),and Logistic Regression.We apply a two-stage training process based on the first stage,where we have base classifiers that predict out-of-fold(OOF)predictions,which we use as inputs for the second-stage meta-learner XGBoost.The meta-learner learns to refine predictions to capture complicated interactions between base models,thus improving detection accuracy without introducing bias,overfitting,or requiring domain knowledge of the meta-data.In addition,the auto-stack ID model got 98.41% accuracy and 93.45%F1 score,better than individual classifiers.It can identify intrusions due to its 90.55% recall and 96.53% precision with minimal false positives.These findings identify its suitability in ensuring healthcare networks’security through ensemble learning.Ongoing efforts will be deployed in real time to improve response to evolving threats.
基金supported by the Opening Project of State Key Laboratory of Mechanical Transmission for Advanced Equipment(No.SKLMT-MSKFKT202330)the National Natural Science Foundation of China(NSFC)(No.52575022)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX24_1295)。
文摘To address the issues of low solving efficiency and poor decoupling accuracy in existing six-axis acceleration decoupling algorithms,a new decoupling algorithm is proposed along with a corresponding auto-compensation algorithm.Firstly,based on Kane’s method,the dynamics model of the six-axis acceleration sensing mechanism is formed to determine the relationship between accelerations and branch forces.Then,with the trapezoidal rule,a solution algorithm for the dynamics model is developed.The virtual prototype tests show that the computation of this algorithm is five times more efficient than that of the ADAMS core algorithm.Besides,this solution algorithm is applied to the“12-6”configuration and“9-3”configuration.The results show that the efficiency of the former is nearly 3.3 times that of the latter.Finally,based on vibration theory,an auto-compensation algorithm for the solution algorithm is established.Virtual prototype tests indicate that with 40%noise interference,the auto-compensation algorithm achieves misjudgement rate and omission rate of only 4.0%and 4.5%,respectively,and the errors in the solving process converge.
文摘On July 17,2024,Chinese electric vehicle manufacturer GAC International opened a smart factory in Rayong Province,Thailand.The next day,then Prime Minister of Thailand Saita Thawaixin met with a delegation led by Zeng Qinghong,chairman of GAC Group.He encouraged GAC to purchase various spare parts in Thailand to enhance Thailand’s position in the global electric vehicle industry supply chain.“Thailand has a favorable business environment,”Zeng responded.“As the location of GAC’s first wholly-owned overseas facility,it was our premier choice.”
文摘The 2025 Shanghai Auto Show reaffirmed its role as one of the world’s most influential automotive industry events,offering a panoramic view of the future shaped by intelligent and electrified vehicles.With over 200 new models on display-85 percent of them new energy vehicles-this year’s show spotlighted how the global auto industry is pivoting rapidly towards an era of software-defined and AI-powered mobility.
基金the Project of the Key Open Laboratory of Atmospheric Detection,China Meteorological Administration(2023KLAS02M)the Second Batch of Science and Technology Project of China Meteorological Administration("Jiebangguashuai"):the Research and Development of Short-term and Near-term Warning Products for Severe Convective Weather in Beijing-Tianjin-Hebei Region(CMAJBGS202307).
文摘Firstly,based on the data of air quality and the meteorological data in Baoding City from 2017 to 2021,the correlations of meteorological elements and pollutants with O_(3)concentration were explored to determine the forecast factors of forecast models.Secondly,the O_(3)-8h concentration in Baoding City in 2021 was predicted based on the constructed models of multiple linear regression(MLR),backward propagation neural network(BPNN),and auto regressive integrated moving average(ARIMA),and the predicted values were compared with the observed values to test their prediction effects.The results show that overall,the MLR,BPNN and ARIMA models were able to forecast the changing trend of O_(3)-8h concentration in Baoding in 2021,but the BPNN model gave better forecast results than the ARIMA and MLR models,especially for the prediction of the high values of O_(3)-8h concentration,and the correlation coefficients between the predicted values and the observed values were all higher than 0.9 during June-September.The mean error(ME),mean absolute error(MAE),and root mean square error(RMSE)of the predicted values and the observed values of daily O_(3)-8h concentration based on the BPNN model were 0.45,19.11 and 24.41μg/m 3,respectively,which were significantly better than those of the MLR and ARIMA models.The prediction effects of the MLR,BPNN and ARIMA models were the best at the pollution level,followed by the excellent level,and it was the worst at the good level.In comparison,the prediction effect of BPNN model was better than that of the MLR and ARIMA models as a whole,especially for the pollution and excellent levels.The TS scores of the BPNN model were all above 66%,and the PC values were above 86%.The BPNN model can forecast the changing trend of O_(3)concentration more accurately,and has a good practical application value,but at the same time,the predicted high values of O_(3)concentration should be appropriately increased according to error characteristics of the model.
