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学者姓名：关丽
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Abstract ：
Interval-valued data have become popular in many research areas. Several scholars have examined regression models based on the center and range method (CRM) for interval-valued data. However, few works considered making probabilistic assumptions about the residuals of the model. In this paper, an interval-valued linear regression model based on asymmetric Laplace distribution (AL-CCRM) is proposed. To fit the new linear regression model, the center and range of intervals are both used, it assumes that the residuals of the center model obey an asymmetric Laplace distribution, and adds constraints so that the range of the predicted interval variable is nonnegative. AL-CCRM is demonstrated to be useful in experiments involving both simulated and real interval-valued data sets.
Keyword ：
Interval-valued data Interval-valued data Constrained linear regression model Constrained linear regression model Asymmetric Laplace distribution Asymmetric Laplace distribution Maximum likelihood estimation Maximum likelihood estimation
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| GB/T 7714 | Guan, Li , Li, Mengxiao . Interval-valued linear regression model with an asymmetric Laplace distribution [J]. | JOURNAL OF THE KOREAN STATISTICAL SOCIETY , 2024 . |
| MLA | Guan, Li 等. "Interval-valued linear regression model with an asymmetric Laplace distribution" . | JOURNAL OF THE KOREAN STATISTICAL SOCIETY (2024) . |
| APA | Guan, Li , Li, Mengxiao . Interval-valued linear regression model with an asymmetric Laplace distribution . | JOURNAL OF THE KOREAN STATISTICAL SOCIETY , 2024 . |
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Abstract ：
This study aims to explore the correlation between the activity trajectory of Crested Ibis and meteorological changes. The trajectory data of Crested Ibis were obtained using the HQBG3621L backpack-style tracker, and the spatiotemporal characteristics of the trajectory data were analyzed to obtain information on the activity range and habitat of Crested Ibis. The Scheirer-Ray-Hare test and Kruskal-Wallis test were used to investigate the impact of meteorological factors on the activity of Crested Ibis. The study found that meteorological factors have a certain influence on the habitat selection and activity patterns of Crested Ibis. Through this research, a better understanding of the interaction between Crested Ibis and the meteorological environment can be achieved, providing a scientific basis for the conservation and ecological management of Crested Ibis.
Keyword ：
Crested Ibis Crested Ibis habitat habitat meteorological changes meteorological changes
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| GB/T 7714 | Li, Fan , Liu, Xiaoxiao , Jiang, Xian et al. Study on the Correlation between the Activity Trajectory of Crested Ibis (Nipponia nippon) and Meteorological Changes [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (1) . |
| MLA | Li, Fan et al. "Study on the Correlation between the Activity Trajectory of Crested Ibis (Nipponia nippon) and Meteorological Changes" . | APPLIED SCIENCES-BASEL 14 . 1 (2024) . |
| APA | Li, Fan , Liu, Xiaoxiao , Jiang, Xian , Guan, Li , Liu, Dongping . Study on the Correlation between the Activity Trajectory of Crested Ibis (Nipponia nippon) and Meteorological Changes . | APPLIED SCIENCES-BASEL , 2024 , 14 (1) . |
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Abstract ：
通过规划管控手段推进住区绿色发展是实施生态城市建设、促进城市可持续发展的重要途径.我国现行居住用地控制性详细规划指标中尚缺乏生态管控指标,致使住区项目在土地出让和建设开发的规划许可中缺乏绿色生态方面约束.对此,通过分析美国LEED-ND、英国BREEAM COMMUNITIES、日本CASBEE FOR CITIES和我国《绿色住区标准》四大代表性绿色(生态)住区评价标准,结合我国部分绿色生态城区的前沿探索,发掘住区生态建设的核心要素及其对规划管控的启发,研究构建居住用地控制性详细规划生态指标,以期对城市住区生态建设的管控和引导提供指导.
Keyword ：
绿色住区 绿色住区 评价标准 评价标准 居住用地 居住用地 生态指标 生态指标 控制性详细规划 控制性详细规划
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| GB/T 7714 | 汪坚强 , 管力 , 李海龙 et al. 基于绿色住区评价标准的居住用地控规生态指标构建 [J]. | 城市发展研究 , 2021 , 28 (3) : 中插14-中插19 . |
| MLA | 汪坚强 et al. "基于绿色住区评价标准的居住用地控规生态指标构建" . | 城市发展研究 28 . 3 (2021) : 中插14-中插19 . |
| APA | 汪坚强 , 管力 , 李海龙 , 郑善文 , 戎卿文 . 基于绿色住区评价标准的居住用地控规生态指标构建 . | 城市发展研究 , 2021 , 28 (3) , 中插14-中插19 . |
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Abstract ：
In this paper, we firstly introduce the definition of the fuzzy metric of sets, and discuss the properties of fuzzy metric induced by the Hausdorff metric. Then we prove the limit theorems for set-valued random variables in fuzzy metric space; the convergence is about fuzzy metric induced by the Hausdorff metric. The work is an extension from the classical results for set-valued random variables to fuzzy metric space.
Keyword ：
set-valued random variables set-valued random variables fuzzy metric space fuzzy metric space laws of large numbers laws of large numbers
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| GB/T 7714 | Guan, Li , Wei, Juan , Min, Hui et al. The Strong Laws of Large Numbers for Set-Valued Random Variables in Fuzzy Metric Space [J]. | MATHEMATICS , 2021 , 9 (11) . |
| MLA | Guan, Li et al. "The Strong Laws of Large Numbers for Set-Valued Random Variables in Fuzzy Metric Space" . | MATHEMATICS 9 . 11 (2021) . |
| APA | Guan, Li , Wei, Juan , Min, Hui , Zhang, Junfei . The Strong Laws of Large Numbers for Set-Valued Random Variables in Fuzzy Metric Space . | MATHEMATICS , 2021 , 9 (11) . |
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Abstract ：
This research mainly studies the factors influencing the efficiency of energy utilization. Firstly, by calculating Moran'sI and local indicators of spatial association (LISA) of energy efficiency of regions in mainland China, we found that energy efficiency shows obvious spatial autocorrelation and spatial clustering phenomena. Secondly, we established the spatial quantile autoregression (SQAR) model, in which the energy efficiency is the response variable with seven influence factors. The seven factors include industrial structure, resource endowment, level of economic development etc. Based on the provincial panel data (1998-2016) of mainland China (data source: China Statistical Yearbook, Statistical Yearbook of provinces), the findings indicate that level of economic development and industrial structure have a significant role in promoting energy efficient. Resource endowment, government intervention and energy efficiency show a negative correlation. However, the negative effect of government intervention is weakened with the increase of energy efficiency. Lastly, we compare the results of SQAR with that of ordinary spatial autoregression (SAR). The empirical result shows that the SQAR model is superior to SAR model in influencing factors analysis of energy efficiency.
Keyword ：
energy efficiency energy efficiency Moran's I Moran's I spatial quantile autoregression (SQAR) spatial quantile autoregression (SQAR) instrumental variable instrumental variable
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| GB/T 7714 | Zhang, Jinping , Lu, Qiuru , Guan, Li et al. Analysis of Factors Influencing Energy Efficiency Based on Spatial Quantile Autoregression: Evidence from the Panel Data in China [J]. | ENERGIES , 2021 , 14 (2) . |
| MLA | Zhang, Jinping et al. "Analysis of Factors Influencing Energy Efficiency Based on Spatial Quantile Autoregression: Evidence from the Panel Data in China" . | ENERGIES 14 . 2 (2021) . |
| APA | Zhang, Jinping , Lu, Qiuru , Guan, Li , Wang, Xiaoying . Analysis of Factors Influencing Energy Efficiency Based on Spatial Quantile Autoregression: Evidence from the Panel Data in China . | ENERGIES , 2021 , 14 (2) . |
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Abstract ：
During human-robot collaborations (HRC), robot systems must accurately perceive the actions and intentions of humans. The present study proposes the classification of standing postures from standing-pressure images, by which a robot system can predict the intended actions of human workers in an HRC environment. To this end, it explores deep learning based on standing-posture recognition and a multi-recognition algorithm fusion method for HRC. To acquire the pressure-distribution data, ten experimental participants stood on a pressure-sensing floor embedded with thin-film pressure sensors. The pressure data of nine standing postures were obtained from each participant. The human standing postures were discriminated by seven classification algorithms. The results of the best three algorithms were fused using the Dempster-Shafer evidence theory to improve the accuracy and robustness. In a cross-validation test, the best method achieved an average accuracy of 99.96%. The convolutional neural network classifier and data-fusion algorithm can feasibly classify the standing postures of human workers.
Keyword ：
HRC HRC data fusion data fusion convolutional neural network convolutional neural network machine learning machine learning standing-posture recognition standing-posture recognition
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| GB/T 7714 | Li, Guan , Liu, Zhifeng , Cai, Ligang et al. Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory [J]. | SENSORS , 2020 , 20 (4) . |
| MLA | Li, Guan et al. "Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory" . | SENSORS 20 . 4 (2020) . |
| APA | Li, Guan , Liu, Zhifeng , Cai, Ligang , Yan, Jun . Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory . | SENSORS , 2020 , 20 (4) . |
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Abstract ：
The goal of this study was to recognize human standing postures in human-robot collaborations such that the robot can serve the human operator better. An intelligent sensing floor was developed based on a thin-film pressure sensor and a human standing posture dataset was obtained by transforming the pressure data into a pressure image. A human standing posture recognition method based on an improved convolutional neural network is proposed. The results of the experiments demonstrate that a convolutional neural network can be used in the field of pressure images. The proposed method returned a recognition rate of 96.6%. Compared to the traditional neural network, the improved convolutional neural network model has better performance. The study results are expected to be used in standing posture monitoring to provide additional data for a robot in a human-robot collaboration system. © 2020 - IOS Press and the authors. All rights reserved.
Keyword ：
Social robots Social robots Metadata Metadata Convolutional neural networks Convolutional neural networks Floors Floors Convolution Convolution
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| GB/T 7714 | Li, Guan , Liu, Zhifeng , Cai, Ligang et al. Human standing posture recognition based on CNN and pressure floor [J]. | Journal of Computational Methods in Sciences and Engineering , 2020 , 20 (2) : 489-498 . |
| MLA | Li, Guan et al. "Human standing posture recognition based on CNN and pressure floor" . | Journal of Computational Methods in Sciences and Engineering 20 . 2 (2020) : 489-498 . |
| APA | Li, Guan , Liu, Zhifeng , Cai, Ligang , Yan, Jun . Human standing posture recognition based on CNN and pressure floor . | Journal of Computational Methods in Sciences and Engineering , 2020 , 20 (2) , 489-498 . |
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Abstract ：
城市轨道交通站点的使用便利程度和空间环境质量影响着轨道交通出行比率,而轨道交通作为公共交通方式之一,其出行率的高低反映着城市建设是否具有可持续性.国际成功经验表明,站点地区开发影响着城市空间发展,本文以北京东站地块规划设计为例,对站城一体化的轨道交通枢纽地块建设方式展开探讨.文章认为,轨道交通枢纽地块与城市的一体化水平和站城之间在交通衔接、产业相关、空间互补以及场所文脉这几个方面的协调水平息息相关.衔接良好的交通方式、促使人与自然良性互动的空间环境品质、彰显城市人文精神的建筑景观特征,以及与城市互补的产业发展将有力地促进交通枢纽的发展,满足人们便捷出行与高品质的生活需求,从而实现站城一体化和城市的可持续化.
Keyword ：
场所文脉 场所文脉 城市设计 城市设计 公共空间 公共空间 轨道交通枢纽 轨道交通枢纽 站城一体化 站城一体化
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| GB/T 7714 | 鹿益 , 汪坚强 , 翁阳 et al. 站城一体化轨道交通枢纽及周边设计实践 ——以北京东站为例 [J]. | 城市建筑 , 2019 , 16 (7) : 109-114 . |
| MLA | 鹿益 et al. "站城一体化轨道交通枢纽及周边设计实践 ——以北京东站为例" . | 城市建筑 16 . 7 (2019) : 109-114 . |
| APA | 鹿益 , 汪坚强 , 翁阳 , 马宁 , 管力 , 王议 . 站城一体化轨道交通枢纽及周边设计实践 ——以北京东站为例 . | 城市建筑 , 2019 , 16 (7) , 109-114 . |
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Abstract ：
In last few years, with the rapid development of robot technology, human-machine interaction technology has increasingly become the focus of many researchers. The security of human-computer interaction is becoming more and more important. As an important part of human-machine interaction, robot active sensing has also become an important field of human-machine interaction. Aiming at the requirement of active sensing technology in the field of human computer interaction, a low-cost data acquisition system for surface pressure sensing is designed by using STM32 microcontroller and film pressure sensor matrix. The system architecture, acquisition circuit and high-speed communication circuit are discussed detailly in this paper. The experimental results show that the system can collect all sensors' data of the pressure matrix, data acquisition frequency is 50Hz. The real-time display of the host computer is realized, and the network expansion interface is reserved to facilitate the expansion of the system. The linear fitting method is used to correct the sensors, and the perception accuracy of the pressure matrix sensors is improved. The pressure sensing surface can be used to create the perception of the floor, the cushion or desktop perceived perception and so on. It is a useful supplement to the field of active perception in the field of human computer interaction.
Keyword ：
human computer interaction human computer interaction surface pressure perception surface pressure perception STM32 STM32 film pressure sensor film pressure sensor
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| GB/T 7714 | Li Guan , Cai Ligang , Liu Zhifeng et al. Design of Data Acquisition System for Surface Pressure Perception Matrix [C] . 2017 : 491-495 . |
| MLA | Li Guan et al. "Design of Data Acquisition System for Surface Pressure Perception Matrix" . (2017) : 491-495 . |
| APA | Li Guan , Cai Ligang , Liu Zhifeng , Yan Jun . Design of Data Acquisition System for Surface Pressure Perception Matrix . (2017) : 491-495 . |
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Abstract ：
In this paper, we give an upper bound estimation about the probability of the event that the sample average of i.i.d. interval-valued random sets is included in a closed set. The main tool is Cramer theorem in the classic theory of large deviation principle about real-valued random variables.
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| GB/T 7714 | Wang, Xia , Guan, Li . An Upper Bound Estimation About the Sample Average of Interval-Valued Random Sets [C] . 2017 : 519-524 . |
| MLA | Wang, Xia et al. "An Upper Bound Estimation About the Sample Average of Interval-Valued Random Sets" . (2017) : 519-524 . |
| APA | Wang, Xia , Guan, Li . An Upper Bound Estimation About the Sample Average of Interval-Valued Random Sets . (2017) : 519-524 . |
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