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| 1 | Particle Filter Object Tracking Algorithm Based on Sparse Representation and Nonlinear Resampling显示文摘Object tracking with abrupt motion is an important research topic and has attracted wide attention.To obtain accurate tracking results,an improved particle filter tracking algorithm based on sparse representation and nonlinear resampling is proposed in this paper. First,the sparse representation is used to compute particle weights by considering the fact that the weights are sparse when the object moves abruptly,so the potential object region can be predicted more precisely. Then,a nonlinear resampling process is proposed by utilizing the nonlinear sorting strategy,which can solve the problem of particle diversity impoverishment caused by traditional resampling methods. Experimental results based on videos containing objects with various abrupt motions have demonstrated the effectiveness of the proposed algorithm. | Zheyi Fan Shuqin Weng Jiao Jiang Yixuan Zhu Zhiwen Liu | 2018 | Journal of Beijing Institute of Technology2018，27，1： | 3 |
| 2 | Ribosomal proteins S13 and L23 promote multidrug resistance in gastric cancer cells by suppressing drug-induced apoptosis显示文摘 | Yongquan Shi Huihong Zhai Xin Wang Zheyi Han Changjiang Liu Mei Lan Jingping Du Changcun Guo Yumei Zhang Kaichun Wu Daiming Fan | 2004 | Experimental Cell Research2004，，2： | 1 |
| 3 | Abnormal Crowd Behavior Detection Based on the Entropy of Optical Flow显示文摘To improve the detection accuracy and robustness of crowd anomaly detection,especially crowd emergency evacuation detection,the abnormal crowd behavior detection method is proposed.This method is based on the improved statistical global optical flow entropy which can better describe the degree of chaos of crowd.First,the optical flow field is extracted from the video sequences and a 2D optical flow histogram is gained.Then,the improved optical flow entropy,combining information theory with statistical physics is calculated from 2D optical flow histograms.Finally,the anomaly can be detected according to the abnormality judgment formula.The experimental results show that the detection accuracy achieved over 95%in three public video datasets,which indicates that the proposed algorithm outperforms other state-of-the-art algorithms. | Zheyi Fan Wei Li Zhonghang He Zhiwen Liu | 2019 | Journal of Beijing Institute of Technology2019，28，4： | 1 |
| 4 | Akt1/protein Kinase Bα is Involved in Gastric Cancer Progression and Cell Proliferation显示文摘 | Zheyi Han Kaichun Wu Huiqin Shen Chunying Li Shuang Han Liu Hong Yongquan Shi Na Liu Changcun Guo Yan Xue Taidong Qiao Daiming Fan | 2008 | Digestive Diseases and Sciences2008，，7： | 1 |
| 5 | Achievements and Prospects of Wind Power Prediction显示文摘Wind power prediction is crucial to the operation of the power system accommodating a large amount of wind power. From the perspective of power dispatch, this paper discusses the current situations of the technology, system building, prediction errors, the index for evaluating wind power prediction system and the main bodies responsible for the prediction. It delves into the existing problems such as incomplete basic data, poor prediction accuracy, short prediction time scale, as well as lacking of prediction in most wind farms. Suggestions on improvement are proposed including enhancing the construction of wind power prediction system on both the grid side and the wind farm side, speeding up the development of ultra-short term wind power prediction system, deepening the research on wind power prediction technology, strengthening the construction of technical standard system and carrying out cross-sector cooperation. | Fan Gaofeng, Pei Zheyi, Xin Yaozhong National Power Dispatching & Communication Center Han Ruiguo | 2011 | Electricity2011，22，5： | 0 |
| 6 | Numerical studies on the radiation uniformity of Z-pinch dynamic hohlraum显示文摘Radiation uniformity is important for Z-pinch dynamic hohlraum driven fusion. In order to understand the radiation uniformity of Z-pinchdynamic hohlraum, the code MULTI-2D with a new developed magnetic field package is employed to investigate the related physical processeson Julong-I facility with drive current about 7e8 MA. Numerical simulations suggest that Z-pinch dynamic hohlraum with radiation temperaturemore than 100 eV can be created on Julong-I facility. Although some X-rays can escape out of the hohlraum from Z-pinch plasma and electrodes, the radiation field near the foam center is quite uniform after a transition time. For the load parameters used in this paper, the transitiontime for the thermal wave transports from r = 1 mm to r = 0 mm is about 2.0 ns. Implosion of a testing pellet driven by cylindrical dynamichohlraum shows that symmetrical implosion is hard to achieve due to the relatively slow propagation speed of thermal wave and the compressionof cylindrical shock in the foam. With the help of quasi-spherical implosion, the hohlraum radiation uniformity and corresponding pelletimplosion symmetry can be significantly improved thanks to the shape modulation of thermal wave front and shock wave front. | Fuyuan Wu Yanyun Chu Rafael Ramis Zhenghong Li Yanyun Ma Jianlun Yang Zhen Wang Fan Ye Zhanchang Huang Jianmin Qi Lin Zhou Chuan Liang Shijia Chen Zheyi Ge Xiaohu Yang Shangwu Wang | 2018 | Matter and Radiation at Extremes2018，3，5： | 0 |
| 7 | Object Recognition Algorithm Based on an Improved Convolutional Neural Network显示文摘In order to accomplish the task of object recognition in natural scenes,a new object recognition algorithm based on an improved convolutional neural network(CNN)is proposed.First,candidate object windows are extracted from the original image.Then,candidate object windows are input into the improved CNN model to obtain deep features.Finally,the deep features are input into the Softmax and the confidence scores of classes are obtained.The candidate object window with the highest confidence score is selected as the object recognition result.Based on AlexNet,Inception V1 is introduced into the improved CNN and the fully connected layer is replaced by the average pooling layer,which widens the network and deepens the network at the same time.Experimental results show that the improved object recognition algorithm can obtain better recognition results in multiple natural scene images,and has a higher degree of accuracy than the classical algorithms in the field of object recognition. | Zheyi Fan Yu Song Wei Li | 2020 | Journal of Beijing Institute of Technology2020，29，2： | 0 |
| 8 | Improving pseudo-labeling with reliable inter-camera distance encouragement for unsupervised person re-identification显示文摘Unsupervised person re-identification(re-ID)aims to train a discriminative model without identity annotations.State-of-the-art methods usually follow a clustering-based pipeline,which utilizes a clustering algorithm to generate pseudo-labels and performs model training iteratively.Despite the success of these methods,camera variation has not been well considered in the distance calculation step to reduce noise labels,which is the main reason for noise label generation.To address this problem,we design a plug-and-play method with low computational complexity to improve the distance calculation step in the pseudo-label generation stage.Specifically,(1)to alleviate the influence of intra-camera samples and select reliable inter-camera pairs,we propose inter-camera k-reciprocal nearest neighbor(IKNN)to mine reliable inter-camera positive pairs;and(2)to merge the relationship of reliable inter-camera pairs into the distance for better clustering,we design adaptive inter-camera encouragement(AIE)to encourage the distance of inter-camera positive pairs.Extensive experiments show consistent improvements in comparison with various state-of-the-art unsupervised re-ID methods,demonstrating the wide applicability and efectiveness of our method. | Yiyu CHEN Zheyi FAN Shuni CHEN Yixuan ZHU | 2023 | Science China(Information Sciences)2023，66，5： | 0 |
| 9 | Observation on therapeutic efficacy of ursodeoxycholic acid in Chinese patients with primary biliary cirrhosis:a 2-year follow-up study显示文摘The efficacy of ursodeoxycholic acid(UDCA)on long-term outcome of primary biliary cirrhosis(PBC)has been less documented in Chinese cohort.We aimed to assess the therapeutic effect of UDCA on Chinese patients with PBC.In the present study,67 patients with PBC were treated with UDCA(13–15 mg∙kg^(-1)∙day^(-1))and followed up for 2 years to evaluate the changes of symptoms,laboratory values and histological features.As the results indicated,fatigue and pruritus were obviously improved by UDCA,particularly in patients with mild or moderate symptoms.The alkaline phosphatase andγ-glutamyl transpetidase levels significantly declined at year 2 comparing to baseline values,with the most profound effects achieved in patients at stage 2.The levels of alanine aminotransferase and aspartate aminotransferase significantly decreased whereas serum bilirubin and immunoglobulin M levels exhibited no significant change.Histological feature was stable in patients at stages 1–2 but still progressed in patients at stages 3–4.The biochemical response of patients at stage 2 was much better than that of patients at stages 3–4.These data suggest that,when treated in earlier stage,patients in long-term administration of UDCA can gain favorable results not only on symptoms and biochemical responses but also on histology.It is also indicated that later histological stage,bad biochemical response and severe symptom may be indicators of poor prognosis for UDCA therapy. | Jiangyi Zhu Yongquan Shi Xinmin Zhou Zengshan Li Xiaofeng Huang Zheyi Han Jianhong Wang Ruian Wang Jie Ding Kaichun Wu Ying Han Daiming Fan | 2013 | Frontiers of Medicine2013，7，2： | 0 |
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