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学者姓名：丁治明
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摘要 ：
With the vigorous development of transportation infrastructure in various countries, the traffic network within the city is becoming more and more complex, and when an emergency occurs in one or more areas of the city, it will inevitably cause traffic congestion in the area and keep spreading. There are still many challenges to solve the urban emergency route planning problem. In this paper, we have employed a double layer search structure, where we have empowered the traditional A* model with a neural network, to construct a region-level dynamic path planning model known as "Double Layer A*". The model divides the road network into two layers, and implements the outer layer and inner layer search. In the outer layer search, we use the historical cab travel data for training to achieve the general direction planning; in the inner layer search, we update the original planning according to the changes of the road condition characteristics of the regional nodes, and perform the re-planning in real time. We conducted experimental evaluations using the road network data of Beijing, and the results showed that compared to a single-layer search structure path planning model, our Double layer A* model planned paths with higher similarity in land characteristics, connectivity, and average connectivity between adjacent nodes, which demonstrates the effectiveness and reasonableness of the Double layer A* model in emergency path planning.
关键词 ：
Search problems Search problems neural network neural network Urban areas Urban areas Routing Routing real-time path planning real-time path planning Roads Roads Map grid Map grid Path planning Path planning Navigation Navigation A* algorithm A* algorithm Planning Planning
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| GB/T 7714 | Cai, Zhi , Hou, Zhihao , Shi, Meihui et al. Double Layer A*: An Emergency Path Planning Model Based on Map Grid and Double Layer Search Structure [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2024 , 25 (9) : 11509-11521 . |
| MLA | Cai, Zhi et al. "Double Layer A*: An Emergency Path Planning Model Based on Map Grid and Double Layer Search Structure" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 25 . 9 (2024) : 11509-11521 . |
| APA | Cai, Zhi , Hou, Zhihao , Shi, Meihui , Su, Xing , Guo, Limin , Ding, Zhiming . Double Layer A*: An Emergency Path Planning Model Based on Map Grid and Double Layer Search Structure . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2024 , 25 (9) , 11509-11521 . |
| 导入链接 | NoteExpress RIS BibTex |
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
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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 ：
本发明公开了一种基于区块链的绿色电力证书交易方法，应用于区块链技术领域，包括代理节点和审核节点，所述代理节点为电力生产商和购买方，所述审核节点审核、预测并发放推荐方案；根据电力生产商的资格信息审核，并向所述代理节点发放绿色电力证书；利用购买方的交易请求得到期望交易价格；根据多个电力生产商的卖方历史交易价格，输入价格预测模型，预测卖方价格；所述审核节点公布所述期望交易价格和卖方价格，根据所述代理节点双方预设的价格信息，生成推荐方案。本发明提供了一种基于区块链的绿色电力证书交易方法及系统，成交率低的问题。
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| GB/T 7714 | 迟远英 , 丁治明 , 李伟 et al. 一种基于区块链的绿色电力证书交易方法及系统 : CN202210265048.X[P]. | 2022-03-17 . |
| MLA | 迟远英 et al. "一种基于区块链的绿色电力证书交易方法及系统" : CN202210265048.X. | 2022-03-17 . |
| APA | 迟远英 , 丁治明 , 李伟 , 黄硕 . 一种基于区块链的绿色电力证书交易方法及系统 : CN202210265048.X. | 2022-03-17 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
With the rapid development of sensing hard-devices, wireless communication technologies and smart mobile devices, a large number of data for moving objects have been collected, among which a group of high precision data (e.g., GPS) are widely used for traffic predictions and management. However, in modern city life, a large volume of positioning data of moving objects is collected with low-precision positions, which causes the difficulty for trajectory match, analysis or group identification. In view of this limitation, this paper proposes a novel method for the semantic trajectory based group identification. Specifically, the trajectory data are used to discover the spatial and semantic information of persons to calculate their similarities. Based on which, the groups of persons with strong correlations are identified. To evaluate our method, we conduct several experiments on Geolife dataset. The experimental results show that the proposed method has a significant effect on the group identification.
关键词 ：
Clustering analysis Clustering analysis Moving object data Moving object data Groups identification Groups identification Trajectory Trajectory
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| GB/T 7714 | Cai, Zhi , Ji, Meilin , Ren, Hongbing et al. A Novel Method for Groups Identification Based on Spatio-Temporal Trajectories [J]. | SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2022 , 2022 , 13614 : 264-280 . |
| MLA | Cai, Zhi et al. "A Novel Method for Groups Identification Based on Spatio-Temporal Trajectories" . | SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2022 13614 (2022) : 264-280 . |
| APA | Cai, Zhi , Ji, Meilin , Ren, Hongbing , Mi, Qing , Guo, Limin , Ding, Zhiming . A Novel Method for Groups Identification Based on Spatio-Temporal Trajectories . | SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2022 , 2022 , 13614 , 264-280 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
With the deterioration of the transportation ecosystem and traffic congestion, traffic graph representations become more complex and lack intelligibility. The deep learning method provides a new way for traffic prediction by mining the spatiotemporal relations of historical states in traffic network. Recurrent neural networks based on gate control can avoid the gradient vanishing and graph convolutional networks provide theoretical support for spatial feature extraction of traffic graph. However, in the prediction of traffic evolution behaviors, the statuses of units and groups distributed in the traffic network have strong and continuous spatiotemporal correlations. Modeling only based on the temporal or spatial perspective usually lacks comprehensiveness and semantic relevance which results in poor prediction performance. In this paper, we propose a spatiotemporal hierarchical propagation graph convolutional network(SHPGCN) to get the whole spatiotemporal evolution features of traffic graph, which can be used to predict the propagation effects and state changes of traffic flow. Considered the inadequacy of graph convolution in the learning of hierarchical features, we construct a low-dimensional propagation graph representation that projects complex node relationships into first-order neighborhoods to capture dynamic changes at different spatial and temporal scales. The SHPGCN uses graph convolution to encode the traffic propagation features and embeds them into a bidirectional recurrent sequence for traffic prediction. The experiment results show that SHPGCN can provide good prediction accuracy and robustness for the traffic evolution behaviors.
关键词 ：
traffic evolution behaviors traffic evolution behaviors traffic propagation traffic propagation Traffic flow prediction Traffic flow prediction spatial feature spatial feature spatiotemporal neural network spatiotemporal neural network
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| GB/T 7714 | Chang, Mengmeng , Ding, Zhiming , Cai, Zhi et al. Prediction of Evolution Behaviors of Transportation Hubs Based on Spatiotemporal Neural Network [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2022 , 23 (7) : 9171-9183 . |
| MLA | Chang, Mengmeng et al. "Prediction of Evolution Behaviors of Transportation Hubs Based on Spatiotemporal Neural Network" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 23 . 7 (2022) : 9171-9183 . |
| APA | Chang, Mengmeng , Ding, Zhiming , Cai, Zhi , Zhao, Zilin , Yuan, Lei . Prediction of Evolution Behaviors of Transportation Hubs Based on Spatiotemporal Neural Network . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2022 , 23 (7) , 9171-9183 . |
| 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。
引用：
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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：
复制并粘贴一种已设定好的引用格式，或利用其中一个链接导入到文献管理软件中。
| 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 ：
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
引用：
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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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