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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 . |
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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 . |
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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 . |
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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 ：
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
引用：
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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 ：
Emergency path planning technology is one of the hot research points in intelligent transportation systems. There are many methodologies and applications in emergency path planning. However, due to the complexity of the urban network and crowded road conditions, the difficulty of emergency path planning. The objective of emergency path planning is to get the vehicle out of the emergency areas and to its destination in the shortest time. Road congestion caused by emergency situations in cities directly affects the original road network structure. Then the weight of the original road network is no longer suitable as a basis for path recommendation and the value of edges of weight will change over time. To handle the dynamic road network, a novel situational time-stamp heuristic search algorithm (STH) is introduced for the situation space. This algorithm can effectively solve the problem of diversity of situational networks. STH can build a heuristic that adapts to time changes based on the map refresh time, and ensures that the path given in the time window T is optimal. Moreover, STH can give a pruning strategy according to the search time window T, which significantly improves the efficiency of the algorithm. Finally, the path planned by STH is better than the baseline algorithm. © Published under licence by IOP Publishing Ltd.
关键词 ：
Intelligent vehicle highway systems Intelligent vehicle highway systems Roads and streets Roads and streets Intelligent systems Intelligent systems Heuristic methods Heuristic methods Heuristic algorithms Heuristic algorithms Motor transportation Motor transportation Big data Big data
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| GB/T 7714 | Yang, Bowen , Yuan, Lei , Yan, Jin et al. A Novel Heuristic Method for Emergency Path Planning Based on Dynamic Spatial-Temporal Characteristics Map [C] . 2021 . |
| MLA | Yang, Bowen et al. "A Novel Heuristic Method for Emergency Path Planning Based on Dynamic Spatial-Temporal Characteristics Map" . (2021) . |
| APA | Yang, Bowen , Yuan, Lei , Yan, Jin , Ding, Zhiming , Cai, Zhi , Guo, Limin . A Novel Heuristic Method for Emergency Path Planning Based on Dynamic Spatial-Temporal Characteristics Map . (2021) . |
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摘要 ：
The reliable road network plays a vital role in many applications. Owing to the development of remote sensing technology and the success of deep learning in computer vision, automatic road extraction from remote sensing images is a research hotspot in recent years. However, due to the complicated image background and special road structure, the results of automatic road extraction are still far from perfect. In this paper, we propose a road segmentation network that is designed based on improved U-Net, which contains an encoder and a decoder. First, the recurrent criss-cross attention module (CCA) is introduced into the encoder to obtain long-range contextual dependencies with a relatively small number of computations and parameters, which results in better understanding and expression of image information. Second, we propose the attention-based multi-scale feature fusion module (AMS) to resolve the problem of different shapes and widths of the roads, which is placed between the encoder and decoder and uses attention mechanisms to guide multi-scale information fusion. Experimental on the Massachusetts Roads Dataset show that the proposed method achieves better performance in road extraction than other methods in terms of precision, recall, F1-score, and accuracy. © 2021, Springer Nature Switzerland AG.
关键词 ：
Decoding Decoding Extraction Extraction Feature extraction Feature extraction Roads and streets Roads and streets Signal encoding Signal encoding Image processing Image processing Remote sensing Remote sensing Recurrent neural networks Recurrent neural networks
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| GB/T 7714 | Tao, Minyu , Ding, Zhiming , Cao, Yang . Attention U-Net for Road Extraction in Remote Sensing Images [C] . 2021 : 153-164 . |
| MLA | Tao, Minyu et al. "Attention U-Net for Road Extraction in Remote Sensing Images" . (2021) : 153-164 . |
| APA | Tao, Minyu , Ding, Zhiming , Cao, Yang . Attention U-Net for Road Extraction in Remote Sensing Images . (2021) : 153-164 . |
| 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 . |
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