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| 1 | A New RFID Anti-collision Algorithm Based on the Q-Ary Search Scheme显示文摘Deterministic tree-based algorithms are mostly used to guarantee that all the tags in the reader field are successfully identified, and to achieve the best performance. Through an analysis of the deficiencies of existing tree-based algorithms, a Q-ary search algorithm was proposed. The Q-ary search(QAS) algorithm introduced a bit encoding mechanism of tag ID by which the multibit collision arbitration was implemented. According to the encoding mechanism, the collision cycle was reduced. The theoretical analysis and simulation results showed that the proposed MS algorithm overcame the shortcoming of existing tree-based algorithms and exhibited good performance during identification. | SU Jian WEN Guangjun HONG Danfeng | 2015 | Chinese Journal of Electronics2015，24，4： | 13 |
| 2 | Prostate cancer in Asia:A collaborative report显示文摘The incidence of prostate cancer(PCa)within Asian population used to be much lower than in the Western population;however,in recent years the incidence and mortality rate of PCa in some Asian countries have grown rapidly.This collaborative report summarized the latest epidemiology information,risk factors,and racial differences in PCa diagnosis,current status and new trends in surgery management and novel agents for castration-resistant prostate cancer.We believe such information would be helpful in clinical decision making for urologists and oncologists,health-care ministries and medical researchers. | Rui Chen Shancheng Ren 无 Ming Kwong Yiu Ng Chi Fai Wai Sam Cheng Lap Hong Ian Seiji Naito Tadashi Matsuda Elijah Kehinde Ali Kural Jason Yichun Chiu Rainy Umbas Qiang Wei Xiaolei Shi Liqun Zhou Jian Huang Yiran Huang Liping Xie Lulin Ma Changjun Yin Danfeng Xu Kexin Xu Zhangqun Ye Chunxiao Liu Dingwei Ye Xin Gao Qiang Fu Jianquan Hou Jianlin Yuan Dalin He Tiejun Pan Qiang Ding Fengshuo Jin Benkang Shi Gongxian Wang Xiuheng Liu Dongwen Wang Zhoujun Shen Xiangbo Kong Wanhai Xu Yaoliang Deng Haibo Xia Alexa NCohen Xu Gao Chuanliang Xu Yinghao Sun | 2014 | Asian Journal of Urology2014，1，1： | 13 |
| 3 | Modeling Patch Characteristics of Farmland Loss for Site Assessment in Urban Fringe of Beijing, China显示文摘Farmland protection and delimitation in the urban fringe considers not only natural factors but also the spatial characters and site factors. Taking Daxing District, Beijing in China as a case study, this paper used landscape ecology and power-law methods to analyze and evaluate farmland loss during the period of 2004-2007 based on the interpretation results of SPOT5 remote sensing images in 2004 and 2007. At the patch level, we selected four landscape indices, namely patch size, shape index, the nearest neighbor distance between farmland and construction land (including residential land and other construction land), and cropping type, to evaluate the risk of farmland loss and establish a farmland site analysis indicator system. The results showed that patch size and shape index have a significant positive correlation with farmland loss, whereas the distance to construction land has a clear negative correlation with farmland loss. As regards cropping type, fallow farmland is much easier for non-agricultural use than cultivated farmland. The relative transition ratio among vegetable land, fallow farmland and cultivated farmland is 1︰5.6︰1. The patch size of lost farmland follows a power-law distribution, indicating that not only small parcels but also large parcels can be lost. Patch size less than 4 ha or more than 15 ha is in high loss risk, between 4 ha and 10 ha in medium loss risk, and larger than 10 ha and less than 15 ha in low risk. Farmland with a more regular shape has a higher likelihood of loss. Patch shape index less than 2.0 is in high loss risk, between 2.0 and 3.0 in medium loss risk, and larger than 3.0 in low risk. Construction land has a varying impact on farmland loss, the residential land effected distance is 1000 m, and that of the other construction land is 2000 m. This analysis showed the relationships between site factors and farmland loss, and the analysis framework can provide support and reference for farmland protection and delimitation of prime farmland in China. | LIU Xiaona ZHANG Weiwei LI Hong SUN Danfeng | 2013 | Chinese Geographical Science2013，23，3： | 3 |
| 4 | Beyond pixels:Learning from multimodal hyperspectral superpixels for land cover classification显示文摘Despite tons of advanced classification models that have recently been developed for the land cover mapping task,the monotonicity of a single remote sensing data source,such as only using hyperspectral data or multispectral data,hinders the classification accuracy from being further improved and tends to meet the performance bottleneck.For this reason,we develop a novel superpixel-based subspace learning model,called Supace,by jointly learning multimodal feature representations from HS and MS superpixels for more accurate LCC results.Supace can learn a common subspace across multimodal RS data,where the diverse and complementary information from different modalities can be better combined,being capable of enhancing the discriminative ability of to-be-learned features in a more effective way.To better capture semantic information of objects in the feature learning process,superpixels that beyond pixels are regarded as the study object in our Supace for LCC.Extensive experiments have been conducted on two popular hyperspectral and multispectral datasets,demonstrating the superiority of the proposed Supace in the land cover classification task compared with several well-known baselines related to multimodal remote sensing image feature learning. | HONG DanFeng WU Xin YAO Jing ZHU XiaoXiang | 2022 | Science China(Technological Sciences)2022，65，4： | 2 |
| 5 | Application of fluorescence in situ hybridization in the detection of bladder transitional-cell carcinoma: A multi-center clinical study based on Chinese population显示文摘Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder cancer.Methods:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and conducted FISH tests and cytology examinations from August 2007 to December 2008.Receiver operating characteristic(ROC)curve analysis was performed and the area under curve(AUC)values were calculated for both the FISH and urine cytology tests.Results:A cohort of 988 healthy volunteers was enrolled to establish a reference range for the normal population.A total of 4807 patients with hematuria were prospectively,randomly enrolled for the simultaneous analysis of urine cytology,FISH testing,and a final diagnosis as determined by the pathologic findings of a biopsy or a surgically-excised specimen.Overall,the sensitivity of FISH in detecting transitional-cell carcinoma was 82.7%,while that of cytology was 33.4%(p<0.001).The sensitivity values of FISH for non-muscle invasive and muscle invasive bladder transitional-cell carcinoma were 81.7%and 89.6%,respectively(p=0.004).The sensitivity values of FISH for low and high grade bladder cancer were 82.6%and 90.1%,respectively(p=0.002).Conclusion:FISH is significantly more sensitive than voided urine cytology for detecting bladder cancer in patients evaluated for gross hematuria at all cancer grades and stages.Higher sensitivity using FISH was obtained in high grade and muscle invasive tumors. | Liqun Zhou Kaiwei Yang Xuesong Li Yi Ding Dawei Mu Hanzhong Li Yong Yan Jinyi Li Dongwen Wang Wei Li Yulong Cong Jiangping Gao Kewei Ma Yajun Xiao Sheng Zhang Hongyi Jiang Weilie Hu Qiang Wei Xunbo Jin Zhichen Guan Qingyong Liu Danfeng Xu Xin Gao Yongguang Jiang Weimin Gan Guang Sun Qing Wang Yanhui Liu Jianquan Hou Liping Xie Xishuang Song Fengshuo Jin Jiafu Feng Ming Cai Zhaozhao Liang Jie Zhang Dingwei Ye Lin Qi Lulin Ma Jianzhong Shou Yuping Dai Jianyong Shao Ye Tian Shizhe Hong Tao Xu Chuize Kong Zefeng Kang Yuexin Liu Xun Qu Benkang Shi Shaobin Zheng Yi Lin Shujie Xia Dong Wei Jianbo Wu Weiling Fu Zhiping Wang Jianbo Liang | 2019 | Asian Journal of Urology2019，6，1： | 2 |
| 6 | Suitability evaluation of fruit trees in Beijing western mountain areas based on DEM and GIS显示文摘 | Li Hong Sun Danfeng Zhang Fengrong | 2002 | Transactions of CSAE2002，18，51： | 1 |
| 7 | Suitability evaluation of fruit trees in Beijing western mountain areas based on DEM and GIS显示文摘 | Li Hong Sun Danfeng Zhang Fengrong | 2002 | Transactions of the CSAE2002，，5： | 1 |
| 8 | Modeling Desertification Change in Minqin County, China显示文摘 | Danfeng Sun Richard Dawson Hong Li Baoguo Li | 2005 | Environmental Monitoring and Assessment (-)2005，，1： | 1 |
| 9 | Suitability evaluation of fruit trees in Beijing western mountain areas based on DEM and GIS显示文摘 | Li Hong Sun Danfeng Zhang Fengrong | 2002 | Transactions of the CSAE2002，18，5： | 1 |
| 10 | The FrFT convolutional face: toward robust face recognition using the fractional Fourier transform and convolutional neural networks显示文摘Dear editor,Recently,advances in techniques,such as deep learning,have attracted increasing interest in the field of biometrics[1-3].In facial recognition systems,facial images are observed to inevitably suffer from various effects,such as occlusions(facemask,sunglasses,and expressions),illumination,and pose variants,during image collection,resulting in performance degradation.Further,machine learning approaches,such as manifold regularization,have been recently proposed in[4–6]to learn the application of discriminative low-dimensional representation.Unfortunately,these approaches fail to extract the semantically meaningful information owing to the lack of adequate modeling of the spatial information. | Xin WU Ran TAO Danfeng HONG Yue WANG | 2020 | Science China(Information Sciences)2020，63，1： | 1 |
| 11 | Targeted gene panel provides advantages over whole-exome sequencing for diagnosing obesity and diabetes mellitus显示文摘A small fraction of patients diagnosed with obesity or diabetes mellitus has an underlying monogenic cause.Here,we constructed a targeted gene panel consisting of 83 genes reported to be causative for monogenic obesity or diabetes.We performed this panel in 481 patients to detect causative variants and compared these results with whole-exome sequencing(WES)data available for 146 of these patients.The coverage of targeted gene panel sequencing was significantly higher than that of WES.The diagnostic yield in patients sequenced by the panel was 32.9%with subsequent WES leading to three additional diagnoses with two novel genes.In total,178 variants in 83 genes were detected in 146 patients by targeted sequencing.Three of the 178 variants were missed by WES,although the WES-only approach had a similar diagnostic yield.For the 335 samples only receiving targeted sequencing,the diagnostic yield was 32.2%.In conclusion,taking into account the lower costs,shorter turnaround time,and higher quality of data,targeted sequencing is a more effective screening method for monogenic obesity and diabetes compared to WES.Therefore,this approach could be routinely established and used as a first-tier test in clinical practice for specific patients. | Hairong Yu Haoyong Yu Rong Zhang Danfeng Peng Dandan Yan Yunjuan Gu Yuqian Bao Weiping Jia Hong Zhang Cheng Hu | 2023 | Journal of Molecular Cell Biology2023，15，6： | 0 |
| 12 | Guest Editorial:Special issue on intelligence technology for remote sensing image显示文摘With the development of artificial intelligence,remote sensing scene interpretation task has attracted extensive attention,which mainly includes scene classification,target detection,hyperspectral classification,and multi‐modal analysis.The remote sensing scene interpretation has effectively promoted the development of the Earth observation field.It was the intention for this Special Issue to serve as a platform for the publication of the most recent research concepts from remote sensing image. | Xiangtao Zheng Benoit Vozel Danfeng Hong | 2023 | CAAI Transactions on Intelligence Technology2023，8，4： | 0 |
| 13 | Deep transformer and few‐shot learning for hyperspectral image classification显示文摘Recently,deep learning has achieved considerable results in the hyperspectral image(HSI)classification.However,most available deep networks require ample and authentic samples to better train the models,which is expensive and inefficient in practical tasks.Existing few‐shot learning(FSL)methods generally ignore the potential relationships between non‐local spatial samples that would better represent the underlying features of HSI.To solve the above issues,a novel deep transformer and few‐shot learning(DTFSL)classification framework is proposed,attempting to realize fine‐grained classification of HSI with only a few‐shot instances.Specifically,the spatial attention and spectral query modules are introduced to overcome the constraint of the convolution kernel and consider the information between long‐distance location(non‐local)samples to reduce the uncertainty of classes.Next,the network is trained with episodes and task‐based learning strategies to learn a metric space,which can continuously enhance its modelling capability.Furthermore,the developed approach combines the advantages of domain adaptation to reduce the variation in inter‐domain distribution and realize distribution alignment.On three publicly available HSI data,extensive experiments have indicated that the proposed DT‐FSL yields better results concerning state‐of‐the‐art algorithms. | Qiong Ran Yonghao Zhou Danfeng Hong Meiqiao Bi Li Ni Xuan Li Muhammad Ahmad | 2023 | CAAI Transactions on Intelligence Technology2023，8，4： | 0 |
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