A Broadband Dual-polarized Capped Bow-tie 2x2 Antenna Array for 28 GHz Band in 5G Systems

With the development of the fifth generation (5G) communications, dual-polarization base station antennas have increasingly attracted a lot of attention. In this paper, a broadband high-efficiency dual-polarized capped bow-tie antenna array is presented. Simulation results show that the bandwidth of the proposed antenna is 24-36.8 GHz, with its return loss better than 10 dB and the stable coverage. The directivities vary from 8 to 12dBi and the relative cross-polar level is below -10dB over the most of band. It has a simple and compact structure, and is ready to be extended for large array antennas with massive MIMO performance used in 5G communications

A Broadband Dual-polarized Capped Bow-tie 2 72 Antenna Array for 28 GHz Band in 5G Systems

With the development of the fifth generation (5G) communications, dual-polarization base station antennas have increasingly attracted a lot of attention. In this paper, a broadband high-gain efficiency dual-polarization polarized capped bow-tie antenna with parasitic directorsarray is presented. Simulation results show that the bandwidth of the proposed antenna is 24-36.8 GHz, with its return loss better than 10 dB and the stable coverage. The directivities vary from 8 to 12dBi and the relative cross-polar level is below -10dB over the most of band. It has a simple and compact structure, and is ready to be extended for an large array antennas with massive MIMO performance used in 5G communications

Spatial and temporal variability in net primary production (NPP) of alpine grassland on Tibetan Plateau from 1982 to 2009

Abstract HKT-ISTP 2013 B

A Novel Method for ECG Signal Classification Via One-Dimensional Convolutional Neural Network

This paper develops an end-to-end ECG signal classification algorithm based on a novel segmentation strategy and 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals and alleviate the workload of physicians. The ECG segmentation strategy named R-R-R strategy (i.e., retaining ECG data between the R peaks just before and after the current R peak) is used for segmenting the original ECG data into segments to train and test the 1D CNN models. The novel strategy mimics physicians in scanning ECG to a greater extent, and maximizes the inherent information of ECG segments for diagnosis. The performance of the proposed end to end ECG signal classification algorithm was verified with the ECG signals from 48 records in the MIT-BIH arrhythmia database. When the heartbeat types were divided into the five classes recommended by clinicians, i.e., normal beat, left bundle branch block beat, right bundle branch block beat, premature ventricular contraction, and paced beat, the classification accuracy, the area under the curve (AUC), the sensitivity, and the F1-score achieved by the proposed model were 0.9924, 0.9994, 0.99 and 0.99, respectively. When the heartbeat types were divided into six classes recommended by clinicians, i.e., normal beat, left bundle branch block beat, right bundle branch block beat, premature ventricular contraction, paced beat and other beats, the beat classification accuracy, the AUC, the sensitivity, and the F1-score achieved by the model reached 0.9702, 0.9966, 0.97, and 0.97, respectively. When the heartbeat types were divided into five classes recommended by the Association for Advancement of Medical Instrumentation (AAMI), i.e., normal beat, supraventricular ectopic beat, ventricular ectopic beat, fusion beat, and unknown beat, the beat classification accuracy, the sensitivity, and the F1-score were 0.9745, 0.97, and 0.97, respectively. Experimental results show that the proposed method achieves better performance than the state-of-the-art methods

Optimization Method for Last Train Coordination Plan of Urban Rail Transit Based on Network Operation

With the generation of urban rail transit network operation mode, the coordination of network operation plan becomes a key factor for improving the overall level of service, in which the last train coordination plan is the most important. There is some research on the coordination program of network operation at home and abroad, but mainly focused on the coordination of a single point (transfer station). In fact, there are usually no less than two transfer stations between one line and other lines. Therefore, the coordination of a single point cannot meet the needs of making the network operation plan. In this paper, a last train coordination model considered multi-point transfer for rail line is established. Because of the model\u27s characteristics of global nonlinear but local linear and monotonous, an algorithm based on section is set up. The result of case calculation shows that the proposed model and algorithm are simple and practical, which can provide an optimal coordination plan of last train for single line

The Research and Application of Electric Massage Chair with Residual Current Protection Function

The electric massage chair is a common instrument in family health care. In addition to health function, to provide safety for the users is also very important. Comparing with the current safety protection technology of electric massage chair, this paper designs a residual current detection function to increase the safety performance, which provides a new way for this field. When the residual current is generated, the power is disconnected in time. It not only can protect the user’s personal safety, but also can reduce the occurrence rate of fire