An effective approach for describing complicated water quality processes is very important for river water quality management. We built two artificial neural network(ANN) models,a feed-forward back-propagation(BP) mod...An effective approach for describing complicated water quality processes is very important for river water quality management. We built two artificial neural network(ANN) models,a feed-forward back-propagation(BP) model and a radial basis function(RBF) model,to simulate the water quality of the Yangtze and Jialing Rivers in reaches crossing the city of Chongqing,P. R. China. Our models used the historical monitoring data of biological oxygen demand,dissolved oxygen,ammonia,oil and volatile phenolic compounds. Comparison with the one-dimensional traditional water quality model suggest that both BP and RBF models are superior; their higher accuracy and better goodness-of-fit indicate that the ANN calculation of water quality agrees better with measurement. It is demonstrated that ANN modeling can be a tool for estimating the water quality of the Yangtze River. Of the two ANN models,the RBF model calculates with a smaller mean error,but a larger root mean square error. More effort to identify out the causes of these differences would help optimize the structures of neural network water-quality models.展开更多
In order to aim at improving the forecasting performance of the RMB/USD exchange rate, this paper proposes a new architecture of fuzzy neural networks based on fuzzy logic, and the method of point differential, which ...In order to aim at improving the forecasting performance of the RMB/USD exchange rate, this paper proposes a new architecture of fuzzy neural networks based on fuzzy logic, and the method of point differential, which guarantees not only the direction of weight correction, but also the needed precision for the BP algorithm. In applying genetic algorithms for optimal performance, this approach, in the forecasting of the RMB/USD real exchange rate from 1994 to 2000, obviously outperforms typical BP Neural Networks and exhibits a higher capacity in regard to nonlinear, time-variablility, and illegibility of the exchange rate.展开更多
In this paper the authors describe the design, prototyping and evaluation of SIMpliLife, a framework for mobile phones with the aim of making people＇s life easier, providing day-to-day services such as payment, ticke...In this paper the authors describe the design, prototyping and evaluation of SIMpliLife, a framework for mobile phones with the aim of making people＇s life easier, providing day-to-day services such as payment, ticketing and information retrieval by means of NFC （Near Field Communication） technology. It was developed via the collaboration between two research labs of Sapienza University of Rome： the RFID （Radio Frequency Identification） Lab and the Usability and Accessibility Lab （LUA）, both belonging to CATTID （Centre for Applications of Teleservices and of Technologies for Innovation in Digital world） research centre. Technically, SIMpliLife is a SIM-based platform for NFC mobile phones that interfaces several applications able to manage the abovementioned services. The high-level User Interface has been developed by means of Smart Card Web Server （SCWS） technology, thus providing enhanced user experience if compared to traditional SIM-based implementations based on SIM Toolkit.展开更多
Four executives of Chinese video-sharing site Qvod Technology Co.Ltd.stood trial at the Haidian District People’s Court in Beijing on January 7-8 on charges of profiting from spreading pornographic content online.
The use of an intemational currency is not just a natural market phenomenon; it relies heavily on international political foundations. The historical lessons of the four major international currencies--the pound, doll...The use of an intemational currency is not just a natural market phenomenon; it relies heavily on international political foundations. The historical lessons of the four major international currencies--the pound, dollar, euro and yen--show that a strong partner network and a favorable international institutional environment are the two major political foundations for the formation of a stable international currency. The rise of the renminbi, as a late starter looking to become a major international currency, depends not only on the requisite economic conditions but on governmental diplomacy aimed at attracting more monetary cooperation partners and creating international institutions that support its worldwide use. This strategy reinforces the political foundations for the rise of the renminbi. Building a network of partners supporting the renminbi as an international currency and creating a system of international monetary institutions are the real tests of the issuing country＇s political leadership. This political leadership capacity has three dimensions： public trust founded on reputation building; a centripetal force driven by provision of benefits; and coercive force applied through sanctions. Comparatively speaking, the renminbi is still in the early stage of its ascent, so the development of its political infrastructure should concentrate mainly on gaining public trust through reputation-building and employing centripetal force involving provision of benefits.展开更多
OBJECTIVE: To apply data mining methods to research on the state of sub-mental health among residents in eight provinces and cities in China and to mine latent knowledge about many conditions through data mining and a...OBJECTIVE: To apply data mining methods to research on the state of sub-mental health among residents in eight provinces and cities in China and to mine latent knowledge about many conditions through data mining and analysis of data on 3970 sub-mentally healthy individuals selected from 13385 relevant question naires.METHODS: The strategic tree algorithm was used to identify the main mani festations of the state of sub-mental health. The backpropogation artificial neural network was used to analyze the main mani festations of sub-healthy mental states of three different degrees. A sub-mental health evaluation model was then established to achieve predictive evaluationresults.RESULTS: Using classifications from the Scale of Chinese Sub-healthy State, the main manifestations of sub-mental health selected using the strate gictree were F1101(Do you lack peace of mind?),F1102(Are you easily nervous when something comes up?), and F1002(Do you often sigh?). The relative intensity of manifestations of sub-mental health was highest for F1101, followed by F1102,and then F1002. Through study of the neural network, better differentiation could be made between moderate and severe and between mild and severe states of sub-mental health. The differentiation between mild and moderate sub-mental health states was less apparent. Additionally, the sub-mental health state evaluation model, which could be used to predict states of sub-mental health of different individuals, was established using F1101, F1102, F1002, and the mental self-assessment totals core.CONCLUSION: The main manifestations of the state of sub-mental health can be discovered using data mining methods to research and analyze the latent laws and knowledge hidden in research evidence on the state of sub-mental health. The state of sub-mental health of different individuals can be rapidly predicted using the model established here.This can provide a basis for assessment and intervention for sub-mental health. It can also replace the relatively outdated approaches to research on sub-health in the technical era of information and digitization by combining the study of states of sub-mental health with information techniques and by further quantifying the relevant information.展开更多
基金Funded by the Natural Science Foundation of China (No. 59778021)
文摘An effective approach for describing complicated water quality processes is very important for river water quality management. We built two artificial neural network(ANN) models,a feed-forward back-propagation(BP) model and a radial basis function(RBF) model,to simulate the water quality of the Yangtze and Jialing Rivers in reaches crossing the city of Chongqing,P. R. China. Our models used the historical monitoring data of biological oxygen demand,dissolved oxygen,ammonia,oil and volatile phenolic compounds. Comparison with the one-dimensional traditional water quality model suggest that both BP and RBF models are superior; their higher accuracy and better goodness-of-fit indicate that the ANN calculation of water quality agrees better with measurement. It is demonstrated that ANN modeling can be a tool for estimating the water quality of the Yangtze River. Of the two ANN models,the RBF model calculates with a smaller mean error,but a larger root mean square error. More effort to identify out the causes of these differences would help optimize the structures of neural network water-quality models.
文摘In order to aim at improving the forecasting performance of the RMB/USD exchange rate, this paper proposes a new architecture of fuzzy neural networks based on fuzzy logic, and the method of point differential, which guarantees not only the direction of weight correction, but also the needed precision for the BP algorithm. In applying genetic algorithms for optimal performance, this approach, in the forecasting of the RMB/USD real exchange rate from 1994 to 2000, obviously outperforms typical BP Neural Networks and exhibits a higher capacity in regard to nonlinear, time-variablility, and illegibility of the exchange rate.
文摘In this paper the authors describe the design, prototyping and evaluation of SIMpliLife, a framework for mobile phones with the aim of making people＇s life easier, providing day-to-day services such as payment, ticketing and information retrieval by means of NFC （Near Field Communication） technology. It was developed via the collaboration between two research labs of Sapienza University of Rome： the RFID （Radio Frequency Identification） Lab and the Usability and Accessibility Lab （LUA）, both belonging to CATTID （Centre for Applications of Teleservices and of Technologies for Innovation in Digital world） research centre. Technically, SIMpliLife is a SIM-based platform for NFC mobile phones that interfaces several applications able to manage the abovementioned services. The high-level User Interface has been developed by means of Smart Card Web Server （SCWS） technology, thus providing enhanced user experience if compared to traditional SIM-based implementations based on SIM Toolkit.
文摘Four executives of Chinese video-sharing site Qvod Technology Co.Ltd.stood trial at the Haidian District People’s Court in Beijing on January 7-8 on charges of profiting from spreading pornographic content online.
文摘The use of an intemational currency is not just a natural market phenomenon; it relies heavily on international political foundations. The historical lessons of the four major international currencies--the pound, dollar, euro and yen--show that a strong partner network and a favorable international institutional environment are the two major political foundations for the formation of a stable international currency. The rise of the renminbi, as a late starter looking to become a major international currency, depends not only on the requisite economic conditions but on governmental diplomacy aimed at attracting more monetary cooperation partners and creating international institutions that support its worldwide use. This strategy reinforces the political foundations for the rise of the renminbi. Building a network of partners supporting the renminbi as an international currency and creating a system of international monetary institutions are the real tests of the issuing country＇s political leadership. This political leadership capacity has three dimensions： public trust founded on reputation building; a centripetal force driven by provision of benefits; and coercive force applied through sanctions. Comparatively speaking, the renminbi is still in the early stage of its ascent, so the development of its political infrastructure should concentrate mainly on gaining public trust through reputation-building and employing centripetal force involving provision of benefits.
基金Supported by Chinese"Disease"Sub-health Medicine Research and Intervention of the Eleventh Five-Year Science and Technology Support Project of China(No.2006BAI13B01)Financial Support Case Studies of Traditional Chinese Medicine Treatment of Disease and Health Management Ideas of Shanghai Health Bureau(No.2010227)+2 种基金Scientific Innovation Research Funds of Shanghai Municipal Education Commission(No.14YZ061)Teacher Academic Community Fund of Shanghai University of Traditional Chinese Medicine(No.2013JXG03)Chinese Culture and Its Core Value System Modernization Transformation of the National Social Science Funds(No.12AZD094)
文摘OBJECTIVE: To apply data mining methods to research on the state of sub-mental health among residents in eight provinces and cities in China and to mine latent knowledge about many conditions through data mining and analysis of data on 3970 sub-mentally healthy individuals selected from 13385 relevant question naires.METHODS: The strategic tree algorithm was used to identify the main mani festations of the state of sub-mental health. The backpropogation artificial neural network was used to analyze the main mani festations of sub-healthy mental states of three different degrees. A sub-mental health evaluation model was then established to achieve predictive evaluationresults.RESULTS: Using classifications from the Scale of Chinese Sub-healthy State, the main manifestations of sub-mental health selected using the strate gictree were F1101(Do you lack peace of mind?),F1102(Are you easily nervous when something comes up?), and F1002(Do you often sigh?). The relative intensity of manifestations of sub-mental health was highest for F1101, followed by F1102,and then F1002. Through study of the neural network, better differentiation could be made between moderate and severe and between mild and severe states of sub-mental health. The differentiation between mild and moderate sub-mental health states was less apparent. Additionally, the sub-mental health state evaluation model, which could be used to predict states of sub-mental health of different individuals, was established using F1101, F1102, F1002, and the mental self-assessment totals core.CONCLUSION: The main manifestations of the state of sub-mental health can be discovered using data mining methods to research and analyze the latent laws and knowledge hidden in research evidence on the state of sub-mental health. The state of sub-mental health of different individuals can be rapidly predicted using the model established here.This can provide a basis for assessment and intervention for sub-mental health. It can also replace the relatively outdated approaches to research on sub-health in the technical era of information and digitization by combining the study of states of sub-mental health with information techniques and by further quantifying the relevant information.
