There are many techniques using sensors and wearable devices for detecting and monitoring patients with Parkinson’s disease(PD).A recent development is the utilization of human interaction with computer keyboards for...There are many techniques using sensors and wearable devices for detecting and monitoring patients with Parkinson’s disease(PD).A recent development is the utilization of human interaction with computer keyboards for analyzing and identifying motor signs in the early stages of the disease.Current designs for classification of time series of computer-key hold durations recorded from healthy control and PD subjects require the time series of length to be considerably long.With an attempt to avoid discomfort to participants in performing long physical tasks for data recording,this paper introduces the use of fuzzy recurrence plots of very short time series as input data for the machine training and classification with long short-term memory(LSTM)neural networks.Being an original approach that is able to both significantly increase the feature dimensions and provides the property of deterministic dynamical systems of very short time series for information processing carried out by an LSTM layer architecture,fuzzy recurrence plots provide promising results and outperform the direct input of the time series for the classification of healthy control and early PD subjects.展开更多
互联网短信网关(internet short message gatewayI,SMG)系统在短信业务的开展中充当着重要的角色,各种设计模式的巧妙运用也是面向对象编程与面向对象设计的重点之一。介绍了服务提供商(service provider,SP)的短信网关架构以及各主要模...互联网短信网关(internet short message gatewayI,SMG)系统在短信业务的开展中充当着重要的角色,各种设计模式的巧妙运用也是面向对象编程与面向对象设计的重点之一。介绍了服务提供商(service provider,SP)的短信网关架构以及各主要模块,并结合具体实例,特别讲述了该网关系统中所运用的主要的设计模式,最后在前面的基础上对网关系统的短信上行和短信下行两个主要流程做了进一步介绍。展开更多
By using a surface air temperature index （SATI） averaged over the eastern Tibetan Plateau （TP）, investigation is conducted on the short-term climate variation associated with the interannual air warming （or cool...By using a surface air temperature index （SATI） averaged over the eastern Tibetan Plateau （TP）, investigation is conducted on the short-term climate variation associated with the interannual air warming （or cooling） over the TP in each summer month. Evidence suggests that the SATI is associated with a consistent teleconnection pattern extending from the TP to central-western Asia and southeastern Europe. Associated rainfall changes include, for a warming case, a drought in northern India in May and June, and a stronger mei-yu front in June. The latter is due to an intensified upper-level northeasterly in eastern China and a wetter and warmer condition over the eastern TP. In the East Asian regions, the time-space distributions of the correlation patterns between SATI and rainfall are more complex and exhibit large differences from month to month. Some studies have revealed a close relationship between the anomalous heating over the TP and the rainfall anomaly along the Yangtze River valley appearing in the summer on a seasonal mean time-scale, whereas in the present study, this relationship only appears in June and the signal＇s significance becomes weaker after the long-term trend in the data was excluded. Close correlations between SATI and the convection activity and SST also occur in the western Pacific in July and August： A zonally-elongated warm tone in the SST in the northwestern Pacific seems to be a passive response of the associated circulation related to a warm SATI. The SATI-associated teleconnection pattern provides a scenario consistently linking the broad summer rainfall anomalies in Europe, central-western Asia, India, and East Asia.展开更多
In the context of 1965- 2000 monthly rainfall data from 73 stations distributed over 3 province level districts and 2 metropolises (Beijing and Tianjin) of North China with some stations in the neighboring provinces,d...In the context of 1965- 2000 monthly rainfall data from 73 stations distributed over 3 province level districts and 2 metropolises (Beijing and Tianjin) of North China with some stations in the neighboring provinces,diagnostic study is undertaken of the features of spatially anomalous patterns and dominant periods of the annual precipitation in terms of EOF,REOF and SSA.Also, a scheme consisting of SSA combined with autoregression (AR) as a prediction model is employed to make forecasts of monthly rainfall sequences of the anomalous patterns in terms of an adaptive filter.Results show that the scheme,if further improved,would be of operational utility in preparing county-level prediction.展开更多
Supersecondary motifs have been analysed in 240 proteins defined at resolutionsof 0.25 nm or better. The supersecondary motifs have been classified into four types:αα,αβ,βαand ββ, and cluster analyses carried ...Supersecondary motifs have been analysed in 240 proteins defined at resolutionsof 0.25 nm or better. The supersecondary motifs have been classified into four types:αα,αβ,βαand ββ, and cluster analyses carried out based on the 3D structures of supersecondarymotifs to assess the optimal basis of classification. Using five classes of residueconformation—a, b, e, l, t—in the non-regular structure regions, we have identified 50classes of supersecondary motifs that occur more than 5 times, and 11 classes that occurmore than 25 times. The sequence and pattern of solvent accessibility of the 11 more fre-quently occurring supersecondary structures have been characterized. The results展开更多
Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanc...Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanced k-nearest neighbor(AKNN)method and balanced binary tree(AVL) data structure to improve the prediction accuracy. The AKNN method uses pattern recognition two times in the searching process, which considers the previous sequences of traffic flow to forecast the future traffic state. Clustering method and balanced binary tree technique are introduced to build case database to reduce the searching time. To illustrate the effects of these developments, the accuracies performance of AKNN-AVL method, k-nearest neighbor(KNN) method and the auto-regressive and moving average(ARMA) method are compared. These methods are calibrated and evaluated by the real-time data from a freeway traffic detector near North 3rd Ring Road in Beijing under both normal and incident traffic conditions.The comparisons show that the AKNN-AVL method with the optimal neighbor and pattern size outperforms both KNN method and ARMA method under both normal and incident traffic conditions. In addition, the combinations of clustering method and balanced binary tree technique to the prediction method can increase the searching speed and respond rapidly to case database fluctuations.展开更多
Mobile users can be recommended services or goods precisely according to their actual needs even in different contexts. Therefore, it is necessary to construct a framework integrating following functions: context iden...Mobile users can be recommended services or goods precisely according to their actual needs even in different contexts. Therefore, it is necessary to construct a framework integrating following functions: context identification,context reasoning, services or product recommendations and other tasks for the mobile terminal. In this paper, we firstly introduce mobile context awareness theory, and describe the composition of context-aware mobile systems. Secondly, we construct a framework of mobile context-aware recommendation system in line with the characteristics of mobile terminal devices and mobile context-aware data. Then, we build a nested key-value storage model and an up-to-date algorithm for mining mobile context-aware sequential pattern,in order to find both the user’s long-term behavior pattern and the new trend of his recent behavior, to predict user’s next behavior. Lastly, we discuss the difficulties and future development trend of mobile context-aware recommendation system.展开更多
To understand sound propagation and beam formation, the physical properties of soft tissues from the biosonar system of odontocetes should be explored. Based on the acoustic impedance distributions of biosonar systems...To understand sound propagation and beam formation, the physical properties of soft tissues from the biosonar system of odontocetes should be explored. Based on the acoustic impedance distributions of biosonar systems, these processes have been examined via numerical simulations. In this study, the images of a short-beaked common dolphin(Delphinus delphis) were obtained via computed tomography. Then, the dolphin was dissected to extract tissue samples for additional examination. In addition to the speed of sound and density measurements, the acoustic attenuation coefficients of the biosonar system in the forehead were tested. The results revealed that the inner layer of the forehead was characterized using low sound speed, low density, and high attenuation. Acoustic fields and beam patterns were then evaluated by setting acoustic attenuation coefficients at different levels. Sounds propagating along the low-attenuation path had a lesser reduction in amplitude. Beam directivities in near and far fields suggested that changes in attenuation distribution would cause beam patterns to shift. These results indicated the complexity of a dolphin’s sonar emission system and helped improve our understanding of sound energy attenuation via studies on the forehead of odontocetes.展开更多
文摘There are many techniques using sensors and wearable devices for detecting and monitoring patients with Parkinson’s disease(PD).A recent development is the utilization of human interaction with computer keyboards for analyzing and identifying motor signs in the early stages of the disease.Current designs for classification of time series of computer-key hold durations recorded from healthy control and PD subjects require the time series of length to be considerably long.With an attempt to avoid discomfort to participants in performing long physical tasks for data recording,this paper introduces the use of fuzzy recurrence plots of very short time series as input data for the machine training and classification with long short-term memory(LSTM)neural networks.Being an original approach that is able to both significantly increase the feature dimensions and provides the property of deterministic dynamical systems of very short time series for information processing carried out by an LSTM layer architecture,fuzzy recurrence plots provide promising results and outperform the direct input of the time series for the classification of healthy control and early PD subjects.
文摘互联网短信网关(internet short message gatewayI,SMG)系统在短信业务的开展中充当着重要的角色,各种设计模式的巧妙运用也是面向对象编程与面向对象设计的重点之一。介绍了服务提供商(service provider,SP)的短信网关架构以及各主要模块,并结合具体实例,特别讲述了该网关系统中所运用的主要的设计模式,最后在前面的基础上对网关系统的短信上行和短信下行两个主要流程做了进一步介绍。
基金supported by the Key Laboratory of Meteorological Disaster of Ministry of Education (KLME050202 and 050205)the Jiangsu provincial 333 Talent Cultivation Projectthe Jiangsu provincial Qing-Lan Project and the Special Funds for Public Welfare of China [Grant No. GYHY(QX) 2007-6-26]Education Foundation, Hong Kong
文摘By using a surface air temperature index （SATI） averaged over the eastern Tibetan Plateau （TP）, investigation is conducted on the short-term climate variation associated with the interannual air warming （or cooling） over the TP in each summer month. Evidence suggests that the SATI is associated with a consistent teleconnection pattern extending from the TP to central-western Asia and southeastern Europe. Associated rainfall changes include, for a warming case, a drought in northern India in May and June, and a stronger mei-yu front in June. The latter is due to an intensified upper-level northeasterly in eastern China and a wetter and warmer condition over the eastern TP. In the East Asian regions, the time-space distributions of the correlation patterns between SATI and rainfall are more complex and exhibit large differences from month to month. Some studies have revealed a close relationship between the anomalous heating over the TP and the rainfall anomaly along the Yangtze River valley appearing in the summer on a seasonal mean time-scale, whereas in the present study, this relationship only appears in June and the signal＇s significance becomes weaker after the long-term trend in the data was excluded. Close correlations between SATI and the convection activity and SST also occur in the western Pacific in July and August： A zonally-elongated warm tone in the SST in the northwestern Pacific seems to be a passive response of the associated circulation related to a warm SATI. The SATI-associated teleconnection pattern provides a scenario consistently linking the broad summer rainfall anomalies in Europe, central-western Asia, India, and East Asia.
文摘In the context of 1965- 2000 monthly rainfall data from 73 stations distributed over 3 province level districts and 2 metropolises (Beijing and Tianjin) of North China with some stations in the neighboring provinces,diagnostic study is undertaken of the features of spatially anomalous patterns and dominant periods of the annual precipitation in terms of EOF,REOF and SSA.Also, a scheme consisting of SSA combined with autoregression (AR) as a prediction model is employed to make forecasts of monthly rainfall sequences of the anomalous patterns in terms of an adaptive filter.Results show that the scheme,if further improved,would be of operational utility in preparing county-level prediction.
文摘Supersecondary motifs have been analysed in 240 proteins defined at resolutionsof 0.25 nm or better. The supersecondary motifs have been classified into four types:αα,αβ,βαand ββ, and cluster analyses carried out based on the 3D structures of supersecondarymotifs to assess the optimal basis of classification. Using five classes of residueconformation—a, b, e, l, t—in the non-regular structure regions, we have identified 50classes of supersecondary motifs that occur more than 5 times, and 11 classes that occurmore than 25 times. The sequence and pattern of solvent accessibility of the 11 more fre-quently occurring supersecondary structures have been characterized. The results
基金Project(2012CB725403)supported by the National Basic Research Program of ChinaProjects(71210001,51338008)supported by the National Natural Science Foundation of ChinaProject supported by World Capital Cities Smooth Traffic Collaborative Innovation Center and Singapore National Research Foundation Under Its Campus for Research Excellence and Technology Enterprise(CREATE)Programme
文摘Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanced k-nearest neighbor(AKNN)method and balanced binary tree(AVL) data structure to improve the prediction accuracy. The AKNN method uses pattern recognition two times in the searching process, which considers the previous sequences of traffic flow to forecast the future traffic state. Clustering method and balanced binary tree technique are introduced to build case database to reduce the searching time. To illustrate the effects of these developments, the accuracies performance of AKNN-AVL method, k-nearest neighbor(KNN) method and the auto-regressive and moving average(ARMA) method are compared. These methods are calibrated and evaluated by the real-time data from a freeway traffic detector near North 3rd Ring Road in Beijing under both normal and incident traffic conditions.The comparisons show that the AKNN-AVL method with the optimal neighbor and pattern size outperforms both KNN method and ARMA method under both normal and incident traffic conditions. In addition, the combinations of clustering method and balanced binary tree technique to the prediction method can increase the searching speed and respond rapidly to case database fluctuations.
文摘Mobile users can be recommended services or goods precisely according to their actual needs even in different contexts. Therefore, it is necessary to construct a framework integrating following functions: context identification,context reasoning, services or product recommendations and other tasks for the mobile terminal. In this paper, we firstly introduce mobile context awareness theory, and describe the composition of context-aware mobile systems. Secondly, we construct a framework of mobile context-aware recommendation system in line with the characteristics of mobile terminal devices and mobile context-aware data. Then, we build a nested key-value storage model and an up-to-date algorithm for mining mobile context-aware sequential pattern,in order to find both the user’s long-term behavior pattern and the new trend of his recent behavior, to predict user’s next behavior. Lastly, we discuss the difficulties and future development trend of mobile context-aware recommendation system.
基金supported by the National Key Research and Development Program of China (Grant Nos. 2018YFC1407504, and 2018YFC1407505)National Natural Science Foundation of China (Grant No. 12074323)+3 种基金Special Fund for Marine and Fishery Development of Xiamen (Grant No.20CZB015HJ01)Water Conservancy Science and Technology Innovation Project of Guangdong (Grant No. 2020-16)China Postdoctoral Science Foundation (Grant No. 2020M682086)China National Postdoctoral Program for Innovative Talents (Grant No. BX2021168)。
文摘To understand sound propagation and beam formation, the physical properties of soft tissues from the biosonar system of odontocetes should be explored. Based on the acoustic impedance distributions of biosonar systems, these processes have been examined via numerical simulations. In this study, the images of a short-beaked common dolphin(Delphinus delphis) were obtained via computed tomography. Then, the dolphin was dissected to extract tissue samples for additional examination. In addition to the speed of sound and density measurements, the acoustic attenuation coefficients of the biosonar system in the forehead were tested. The results revealed that the inner layer of the forehead was characterized using low sound speed, low density, and high attenuation. Acoustic fields and beam patterns were then evaluated by setting acoustic attenuation coefficients at different levels. Sounds propagating along the low-attenuation path had a lesser reduction in amplitude. Beam directivities in near and far fields suggested that changes in attenuation distribution would cause beam patterns to shift. These results indicated the complexity of a dolphin’s sonar emission system and helped improve our understanding of sound energy attenuation via studies on the forehead of odontocetes.
