Two and three-dimensional finite element analysis programs for pile-soil interaction are compiled. Duncan-Chang's Model is used. The construction sequence of the pier is modeled. The pile-soil interface element is...Two and three-dimensional finite element analysis programs for pile-soil interaction are compiled. Duncan-Chang's Model is used. The construction sequence of the pier is modeled. The pile-soil interface element is used. The influence of the combination type of piles on the deformation of bank slope and pile behaviour is analyzed. Different designs of a pile-supported pier are compared thoroughly. Calculation results show that the stresses and displacements of the pile are directly related to the distance from the bank slope and the direction of inclination. An inclined prop pile set in the rear platform would remarkably reduce the stresses of piles and the displacement of the pier.展开更多
The rapid development of China’s economic construction following the opening to the outside world calls for more foreign funds. Undertaking the task to raise funds abroad for many years, the Bank of China (BOC) has f...The rapid development of China’s economic construction following the opening to the outside world calls for more foreign funds. Undertaking the task to raise funds abroad for many years, the Bank of China (BOC) has furnished substantial foreign funds for a large number of key state projects. Since 1993 the BOC has issued bonds in Tokyo on three occasions, totalling Japanese yen 45 billion. It reentered the European capital展开更多
The rise of social media paves way for unprecedented benefits or risks to several organisations depending on how they adapt to its changes. This rise comes with a great challenge of gaining insights from these big dat...The rise of social media paves way for unprecedented benefits or risks to several organisations depending on how they adapt to its changes. This rise comes with a great challenge of gaining insights from these big data for effective and efficient decision making that can improve quality, profitability, productivity, competitiveness and customer satisfaction. Sentiment analysis is the field that is concerned with the classification and analysis of user generated text under defined polarities. Despite the upsurge of research in sentiment analysis in recent years, there is a dearth in literature on sentiment analysis applied to banks social media data and mostly on African datasets. Against this background, this study applied machine learning technique (support vector machine) for sentiment analysis of Nigerian banks twitter data within a 2-year period, from 1st January 2017 to 31st December 2018. After crawling and preprocessing of the data, LibSVM algorithm in WEKA was used to build the sentiment classification model based on the training data. The performance of this model was evaluated on a pre-labelled test dataset generated from the five banks. The results show that the accuracy of the classifier was 71.8367%. The precision for both the positive and negative classes was above 0.7, the recall for the negative class was 0.696 and that of the positive class was 0.741 which shows the prediction did better than chance in addition to other measures. Applying the model in predicting the sentiments of the five Nigerian banks twitter data reveals that the number of positive tweets within this period was slightly greater than the number of negative tweets. The scatter plots for the sentiments series indicated that, majority of the data falls between 0 and 100 sentiments per day, with few outliers above this range.展开更多
According to practice and exploration of spark program for 26 years in Quanzhou,the main model and their effects of new rural construction in west bank of Taiwan Strait led by spark science and technology were expound...According to practice and exploration of spark program for 26 years in Quanzhou,the main model and their effects of new rural construction in west bank of Taiwan Strait led by spark science and technology were expounded. Six spark program systems were established,consisting of policy support guide,science and technology project lead,experts' intelligence support,spark science and technology training,scitech information service and spark program demonstration. Five spark projects were implemented to promote new rural construction in the west bank of Taiwan Strait,such as constructing the national spark industrial zone,organizing the new rural construction led by science and technology,constituting spark sci-tech innovation center,developing the rural informatization,and establishing science and technology commissioner bases. Finally,enlightenment of spark program and its development ways in the future were put forward.展开更多
基金This work was financially supported by the National Natural Science Foundation of China
文摘Two and three-dimensional finite element analysis programs for pile-soil interaction are compiled. Duncan-Chang's Model is used. The construction sequence of the pier is modeled. The pile-soil interface element is used. The influence of the combination type of piles on the deformation of bank slope and pile behaviour is analyzed. Different designs of a pile-supported pier are compared thoroughly. Calculation results show that the stresses and displacements of the pile are directly related to the distance from the bank slope and the direction of inclination. An inclined prop pile set in the rear platform would remarkably reduce the stresses of piles and the displacement of the pier.
文摘The rapid development of China’s economic construction following the opening to the outside world calls for more foreign funds. Undertaking the task to raise funds abroad for many years, the Bank of China (BOC) has furnished substantial foreign funds for a large number of key state projects. Since 1993 the BOC has issued bonds in Tokyo on three occasions, totalling Japanese yen 45 billion. It reentered the European capital
文摘The rise of social media paves way for unprecedented benefits or risks to several organisations depending on how they adapt to its changes. This rise comes with a great challenge of gaining insights from these big data for effective and efficient decision making that can improve quality, profitability, productivity, competitiveness and customer satisfaction. Sentiment analysis is the field that is concerned with the classification and analysis of user generated text under defined polarities. Despite the upsurge of research in sentiment analysis in recent years, there is a dearth in literature on sentiment analysis applied to banks social media data and mostly on African datasets. Against this background, this study applied machine learning technique (support vector machine) for sentiment analysis of Nigerian banks twitter data within a 2-year period, from 1st January 2017 to 31st December 2018. After crawling and preprocessing of the data, LibSVM algorithm in WEKA was used to build the sentiment classification model based on the training data. The performance of this model was evaluated on a pre-labelled test dataset generated from the five banks. The results show that the accuracy of the classifier was 71.8367%. The precision for both the positive and negative classes was above 0.7, the recall for the negative class was 0.696 and that of the positive class was 0.741 which shows the prediction did better than chance in addition to other measures. Applying the model in predicting the sentiments of the five Nigerian banks twitter data reveals that the number of positive tweets within this period was slightly greater than the number of negative tweets. The scatter plots for the sentiments series indicated that, majority of the data falls between 0 and 100 sentiments per day, with few outliers above this range.
基金Supported by the Regional Science and Technology Project of Fujian Province,China(2009N3007)Science and Technology Project of Quanzhou City,Fujian Province,China(2008ZD11-1)12396 Multimedia Information Remote Service Platform Construction of Spark Science and Technology for Quanzhou City,Fujian Province,China(2008ZD15,2011ZD04N01)
文摘According to practice and exploration of spark program for 26 years in Quanzhou,the main model and their effects of new rural construction in west bank of Taiwan Strait led by spark science and technology were expounded. Six spark program systems were established,consisting of policy support guide,science and technology project lead,experts' intelligence support,spark science and technology training,scitech information service and spark program demonstration. Five spark projects were implemented to promote new rural construction in the west bank of Taiwan Strait,such as constructing the national spark industrial zone,organizing the new rural construction led by science and technology,constituting spark sci-tech innovation center,developing the rural informatization,and establishing science and technology commissioner bases. Finally,enlightenment of spark program and its development ways in the future were put forward.
