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学者姓名：丁治明
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摘要 ：
The skyline query is one of the most important supporting technologies for the location-based query services in the road network. Usually, when a user queries the skyline points in the road network, the query area is a user-centered circle or rectangle area, without considering the impact of the current movement speed and direction of the user on the formation of the query area. In this context, a speed and direction aware skyline query method is proposed, which can provide the skyline query area for the users by considering their moving speed and direction. Since the efficiency to directly obtain points of interest from speed and direction aware query area is not high, a Voronoi based speed and direction query area generation algorithm is proposed to approximate the query area, so as to improve the obtaining efficiency of points of interest in the area. The experiments on road networks and points of interest data of Beijing show the performance of the proposed method in terms of query efficiency and quality.
关键词 ：
road network road network Skyline query Skyline query speed and direction speed and direction
引用：
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| GB/T 7714 | Cai, Zhi , Cui, Xuerui , Su, Xing et al. Speed and Direction Aware Skyline Query for Moving Objects [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2022 , 23 (4) : 3000-3011 . |
| MLA | Cai, Zhi et al. "Speed and Direction Aware Skyline Query for Moving Objects" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 23 . 4 (2022) : 3000-3011 . |
| APA | Cai, Zhi , Cui, Xuerui , Su, Xing , Guo, Limin , Ding, Zhiming . Speed and Direction Aware Skyline Query for Moving Objects . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2022 , 23 (4) , 3000-3011 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
基于元路径嵌入的移动应用需求偏好分析方法
关键词 ：
概念模型 概念模型 嵌入学习 嵌入学习 元路径 元路径 移动应用 移动应用 用户需求偏好 用户需求偏好
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| GB/T 7714 | 宋蕊 , 李童 , 董鑫 et al. 基于元路径嵌入的移动应用需求偏好分析方法 [J]. | 宋蕊 , 2021 , 58 (4) : 749-762 . |
| MLA | 宋蕊 et al. "基于元路径嵌入的移动应用需求偏好分析方法" . | 宋蕊 58 . 4 (2021) : 749-762 . |
| APA | 宋蕊 , 李童 , 董鑫 , 丁治明 , 计算机研究与发展 . 基于元路径嵌入的移动应用需求偏好分析方法 . | 宋蕊 , 2021 , 58 (4) , 749-762 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
How to detect and predict the critical situation in large-scale activities is a very important research issue. The existing researches of emergency prediction are mainly focus on the micro events in some specific fields. Applying existing results directly to predict the critical situation in large-scale activity is a big challenge. In this paper, we show a novel method to predict emergency based on historical data analysis. We integrate relevant research results into a unified spatiotemporal model. Firstly, constructing the historical spatiotemporal context time series based on historical activity data. Then, dividing the time series into time period and time window. Finally, exploiting the time series’ spatiotemporal patterns to predict the emergency of current activity. Experimental results show that the proposed method can achieve better prediction of large-scale activity emergencies in a specific venue. © 2021, Springer Nature Switzerland AG.
关键词 ：
Forecasting Forecasting Time series Time series
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| GB/T 7714 | Zhao, Zilin , Ding, Zhiming , Cao, Yang . A Method of Emergency Prediction Based on Spatiotemporal Context Time Series [C] . 2021 : 14-28 . |
| MLA | Zhao, Zilin et al. "A Method of Emergency Prediction Based on Spatiotemporal Context Time Series" . (2021) : 14-28 . |
| APA | Zhao, Zilin , Ding, Zhiming , Cao, Yang . A Method of Emergency Prediction Based on Spatiotemporal Context Time Series . (2021) : 14-28 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明公开了一种基于图卷积的遥感图像道路提取方法，图卷积可以聚合相邻节点之间的特征信息，在节点较大邻域内提取特征，有效解决局部位置信息丢失问题。所设计的方法可以视为多任务学习，首先，利用CNN实现对遥感图像的特征提取，其次，在基于CNN所提取的道路特征基础上构建图结构模型，主要由节点和相应的边关系组成，将CNN分支所提取的道路特征信息视为节点，节点之间的差异度视作边，通过获取节点之间的关系来获取局部位置信息，本发明通过利用图卷积来解决卷积神经网络因为泛化效果而造成的道路局部位置信息丢失问题，从而能有效提高道路分割精度。
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| GB/T 7714 | 陶敏玉 , 迟远英 , 丁治明 et al. 一种基于图卷积的遥感图像道路提取方法 : CN202110058757.6[P]. | 2021-01-16 . |
| MLA | 陶敏玉 et al. "一种基于图卷积的遥感图像道路提取方法" : CN202110058757.6. | 2021-01-16 . |
| APA | 陶敏玉 , 迟远英 , 丁治明 , 杨博文 . 一种基于图卷积的遥感图像道路提取方法 : CN202110058757.6. | 2021-01-16 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
随着互联网和移动应用平台的快速发展,围绕移动应用所产生的海量用户数据已经成为精确分析用户需求偏好的重要数据源.尽管已有不少学者从这些数据中分析和挖掘用户需求,但现有的方法通常只研究了数据的少数维度的特征,未能有效地挖掘多维移动应用信息以及他们之间的关联.提出一种基于元路径嵌入的移动应用需求偏好分析方法,能够为用户进行个性化移动应用推荐.具体地,首先分析移动应用的文本信息中的语义主题,挖掘用户需求偏好的分析维度.其次,将移动应用信息的语义特征构建了一个融合移动应用多维信息的概念模型,涵盖了能够表征用户需求偏好的多维度数据.基于概念模型的语义,设计了一组有意义的元路径集合,以精确地捕捉用户需求偏好...
关键词 ：
用户需求偏好 用户需求偏好 概念模型 概念模型 嵌入学习 嵌入学习 移动应用 移动应用 元路径 元路径
引用：
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| GB/T 7714 | 宋蕊 , 李童 , 董鑫 et al. 基于元路径嵌入的移动应用需求偏好分析方法 [J]. | 计算机研究与发展 , 2021 , 58 (04) : 749-762 . |
| MLA | 宋蕊 et al. "基于元路径嵌入的移动应用需求偏好分析方法" . | 计算机研究与发展 58 . 04 (2021) : 749-762 . |
| APA | 宋蕊 , 李童 , 董鑫 , 丁治明 . 基于元路径嵌入的移动应用需求偏好分析方法 . | 计算机研究与发展 , 2021 , 58 (04) , 749-762 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
With the rapid development of the Internet and mobile application platforms, massive user data has been generated by mobile applications. Such data has become an important data source for accurately analyzing user requirements preference. Many researchers have analyzed and mined user requirements preference from user data. However, the existing studies do not link the multi-dimensional information of mobile applications, and only explore the characteristics of a few dimensions of the data. In this paper, we propose a method to analyze user requirements preferences based on meta-path embedding, which can personally recommend mobile applications for users. Specifically, we first analyze the semantic topics in the text information of mobile applications, which enriches the analysis dimension of user requirements preferences. Second, we construct a conceptual model that integrates multi-dimensional information for mobile applications, including multi-dimensional data that affects user choices. Based on the conceptual model, we design a series of meaningful meta-paths to accurately capture the semantics of user requirements preferences. Finally, we analyze user preferences based on the meta-path embedding technique to recommend personalized mobile applications for users. In this paper, we use the real data set obtained from the Apple App Store to evaluate our model, which contains 1 507 mobile applications and 153 501 user reviews. The experimental results show that our method outperforms the existing models in all metrics, in which the average F1-measure increases by 0.02, and the average NDCG increases by 0.1. © 2021, Science Press. All right reserved.
关键词 ：
Mobile computing Mobile computing Semantics Semantics Embeddings Embeddings
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| GB/T 7714 | Song, Rui , Li, Tong , Dong, Xin et al. A User Requirements Preference Analysis Method of Mobile Applications Based on Meta-Path Embedding [J]. | Computer Research and Development , 2021 , 58 (4) : 749-762 . |
| MLA | Song, Rui et al. "A User Requirements Preference Analysis Method of Mobile Applications Based on Meta-Path Embedding" . | Computer Research and Development 58 . 4 (2021) : 749-762 . |
| APA | Song, Rui , Li, Tong , Dong, Xin , Ding, Zhiming . A User Requirements Preference Analysis Method of Mobile Applications Based on Meta-Path Embedding . | Computer Research and Development , 2021 , 58 (4) , 749-762 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Multi-agent technologies have been widely applied to many applications, such as in e-markets, cloud computing, service-oriented environments, etc. In real applications, service-oriented environments are open and dynamic, where loosely coupled agents interact to consume and provide services. How to accurately evaluate the potential performance (i.e., QoS) of service providers on the service requested by a service consumer in such open and dynamic environments is a challenging issue in both theory and practice. In this paper, an innovative approach is proposed to evaluate the QoS of service providers in service-oriented environments. The proposed approach first borrows the reference report mechanism from the certified reputation model, so as to efficiently collect reference reports (i.e., historical performance) of service providers in open and dynamic environments. Then, a tensor-based QoS model is proposed to construct multi-dimensional relationships between QoS evaluation factors and the QoS values of service providers based on the collected reference reports. The QoS evaluation factors include the type of services, the performance of service providers, the subjectivity of service consumers, the time slot of reference reports. Finally, a CANDECOMP/PARAFAC decomposition and gradient descent-based mechanism is used to evaluate the QoS values of service providers through completing the missing entry values in the constructed tensor. The uniform random simulation experiments indicate that the proposed approach can achieve efficient and accurate QoS evaluation in service-oriented environments with only limited collected reference reports, especially when some service providers do not have reference reports.
关键词 ：
Observers Observers Tensors Tensors Cloud computing Cloud computing CP decomposition CP decomposition Service-oriented environments Service-oriented environments Tensor Tensor Quality of service Quality of service Social networking (online) Social networking (online) QoS evaluation QoS evaluation Matrix decomposition Matrix decomposition Marine vehicles Marine vehicles
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| GB/T 7714 | Su, Xing , Zhang, Minjie , Liang, Yi et al. A Tensor-Based Approach for the QoS Evaluation in Service-Oriented Environments [J]. | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT , 2021 , 18 (3) : 3843-3857 . |
| MLA | Su, Xing et al. "A Tensor-Based Approach for the QoS Evaluation in Service-Oriented Environments" . | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 18 . 3 (2021) : 3843-3857 . |
| APA | Su, Xing , Zhang, Minjie , Liang, Yi , Cai, Zhi , Guo, Limin , Ding, Zhiming . A Tensor-Based Approach for the QoS Evaluation in Service-Oriented Environments . | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT , 2021 , 18 (3) , 3843-3857 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful. Numerous existing models focus on short-term traffic forecasts, but effective long-term forecasting of traffic flows have become a challenging issue in recent years. To solve this problem, this paper proposes a deep learning architecture which consisting of two parts: the long short-term memory encoder-decoder structure at the bottom and the calibration layer at the top. In the encoder-decoder model, we propose an hard attention mechanism based on learning similar patterns to enhance neuronal memory and reduce the accumulation of error propagation. To correct some of the missing details, we design a control gate in the calibration layer to learn the predicted data in groups according to different forms. The proposed method is evaluated on real-world datasets and compared with other state-of-the-art methods. It is verified that our model can accurately learn local feature and long-term dependence, and has better accuracy and stability in long-term sequence prediction.
关键词 ：
Predictive models Predictive models Neural networks Neural networks Freeway traffic flow Freeway traffic flow Prediction algorithms Prediction algorithms Deep learning Deep learning Market research Market research similar pattern similar pattern attention attention long-term prediction long-term prediction Forecasting Forecasting encoder-decoder encoder-decoder Calibration Calibration
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| GB/T 7714 | Wang, Zhumei , Su, Xing , Ding, Zhiming . Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2021 , 22 (10) : 6561-6571 . |
| MLA | Wang, Zhumei et al. "Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 22 . 10 (2021) : 6561-6571 . |
| APA | Wang, Zhumei , Su, Xing , Ding, Zhiming . Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2021 , 22 (10) , 6561-6571 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Urban rail transit stations are the key nodes of urban rail transit network. Identifying and analyzing land use characteristics around urban rail transit stations can significantly contribute to urban rail transportation operation and management. Therefore, a visualization method of land use characteristics around urban rail transit stations based on POI is proposed in this paper. In the proposed method, first, the Voronoi diagram is used to determine coverage of urban rail transit stations and each POI is put in a coverage area based on their physical location. Then, topic-oriented hierarchical POIs of each urban rail transit station are extracted based on skyline idea. Finally, the land use characteristics around an urban rail transit station are visualized based on the extracted hierarchical POIs. We carried out two case studies and a quality evaluation. By using realistic data from Beijing rail transit in order to validate the method proposed in this paper. Results show that our method can clarify various situations of land use of urban rail transit stations and may provide support for the application of transportation model technology.
关键词 ：
urban rail transit station urban rail transit station Urban areas Urban areas Voronoi diagram Voronoi diagram land use land use Data visualization Data visualization Correlation Correlation Visual analysis Visual analysis Visualization Visualization skyline query skyline query Public transportation Public transportation Rails Rails
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| GB/T 7714 | Cai, Zhi , Sun, Gongyu , Su, Xing et al. Visual Analysis of Land Use Characteristics Around Urban Rail Transit Stations [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2021 , 22 (10) : 6221-6231 . |
| MLA | Cai, Zhi et al. "Visual Analysis of Land Use Characteristics Around Urban Rail Transit Stations" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 22 . 10 (2021) : 6221-6231 . |
| APA | Cai, Zhi , Sun, Gongyu , Su, Xing , Li, Tong , Guo, Limin , Ding, Zhiming . Visual Analysis of Land Use Characteristics Around Urban Rail Transit Stations . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2021 , 22 (10) , 6221-6231 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
针对传统路径规划算法在动态网络中的时效性和可用性不足,本文提出一种适用于时变路网环境下的自适应动态路径规划方法.通过引入动态网络流式图划分思想,构建一种分层路网的状态树索引,有效降低了动态路网中路径查找的计算代价,并扩展了传统路径规划算法在动态路网中的普适性.在此基础上,将区域路况的时空变化信息融合到索引树中,进一步提出一种基于时空层次网络的路径映射方法.并按照访问节点的距离逐步收缩最小包含区域来减少路径查找视野,将路径查找过程转化为在层次图中的小范围寻址.为适应路网动态变化特征,路径映射采用多路并行的双向探测策略,使得路径搜索迅速收敛于一个最优解,在动态路况变化和旅行代价之间寻求平衡.最后,结合北京市实时交通路网数据集进行实验评估,在查询性能和自适应调整方面验证了所提出方法的有效性.
关键词 ：
最短路径 最短路径 动态规划 动态规划 路况感知 路况感知 智能交通 智能交通 路径索引 路径索引
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| GB/T 7714 | 常盟盟 , 袁磊 , 丁治明 et al. 交通路况感知下的自适应动态路径规划方法 [J]. | 交通运输系统工程与信息 , 2021 , 21 (4) : 156-162,247 . |
| MLA | 常盟盟 et al. "交通路况感知下的自适应动态路径规划方法" . | 交通运输系统工程与信息 21 . 4 (2021) : 156-162,247 . |
| APA | 常盟盟 , 袁磊 , 丁治明 , 李路通 . 交通路况感知下的自适应动态路径规划方法 . | 交通运输系统工程与信息 , 2021 , 21 (4) , 156-162,247 . |
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