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Articles by Ming Hong
Total Records ( 3 ) for Ming Hong
  Liping Wang , Jiarui Liu , Huaqing Tong , Ming Hong , Yiqun Hu , Xiuqin Xu , Hua Chen , Zhiyu Wang , Yongheng Shang , Zhengliang Huang and Faxin Yu
  A novel highly integrated front-end T/R module with eight RF channels for the application of a K-band transceiver is presented. The proposed T/R module is based on the LTCC package combined with embedded microwave passive circuits and a variety of microwave transistor dies. Due to the applied multi-layer LTCC technology, the overall size and weight of the designed module is greatly reduced. Furthermore, such design improves the overall performance of the T/R module with a lower cost and high efficiency.
  Heyong Wang and Ming Hong
  Currently, studies about Support Vector Machine (SVM) and residential price focus on proving that the improved SVM models they proposed are better and forecasting numeric values of residential prices using Support Vector Regression (SVR). Most current studies improves SVM models by improving algorithms or develops forecasting models to predict numeric values of residential prices directly. It is also meaningful to give reasonable intervals of residential prices to tell the ranges of numeric values. This study improves SVM models by classifying residential price variable as well as choosing the best kernel with the best parameters. In this study, residential hedonic price classification model based on Minimal Description Length Principle (MDLP) binning and SVM are proposed. Residential price values are classified using MDLP binning. Furthermore, SVM models are built using four kernel functions with different parameters in SVM to study the accuracy of residential price groups forecasting in different models. By experiment, it proves that linear kernel function is best, RBF and polynomial kernel better and the worst is sigmoid kernel.
  Wei Chen , Xiuqin Xu , Hui Xu , Ming Hong , Zhiyu Wang , Yongheng Shang , Dongdong Liu , Min Zhou , Zhengliang Huang and Faxin Yu
  This study presents the temporal Coupled-Mode Theory (CMT) analysis of a K-band MMIC (Microwave Monolithic Integrated Circuit) bandpass filter with dual orthogonal resonant modes. Two test methods are applied and compared in the filter response measurement. The dimensions of the MMIC filter, whose chip size is 1.9×1.35 mm, are optimized based on the FEM (Finite Element Method) simulation assisted temporal coupled-mode theory. As a two-port reciprocal system, the transmission and reflection responses of the filter are deduced. GaAs MMIC IPD (Integrated Passive Device) technology is applied for chip fabrication. The test results using a probe station fit well with the simulation results. A testing fixture is introduced to model the practical application scenario, whose measurement results, after de-embedment, have shown consistency with the simulation and the probe station test results.
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