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基于元路径嵌入的移动应用需求偏好分析方法 CQVIP
期刊论文 | 2021 , 58 (4) , 749-762 | 宋蕊
摘要&关键词 引用

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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A Novel Heuristic Emergency Path Planning Method Based on Vector Grid Map SCIE
期刊论文 | 2021 , 10 (6) | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
WoS核心集被引次数: 5
摘要&关键词 引用

摘要 :

Emergency path planning technology is one of the research hotspots of intelligent transportation systems. Due to the complexity of urban road networks and congested road conditions, emergency path planning is very difficult. Road congestion caused by urban emergencies directly affects the original road network structure. In this way, the static weight of the original road network is no longer suitable as the basis for path recommendation. To handle the dynamic situational road network, an equidistant grid emergency path planning framework will be designed. A novel situation grid road network model, based on situation information, is proposed and applied to an equidistant grid emergency path planning framework. A situational grid heuristic search will be proposed methodology based on this model, which can be used to detect the vehicles passing around the congestion area grid and the road to the destination in the shortest time. In the path planning methodology, a grid inspired search strategy based on quaternion function is included, which can make the algorithm converge to the target grid quickly. Three graph acceleration algorithms are proposed to improve the search efficiency of path planning algorithm. Finally, this paper will set up three experiments to verify our proposed method.

关键词 :

emergency path emergency path heuristic search heuristic search path planning path planning transportation network transportation network

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GB/T 7714 Yang, Bowen , Yan, Jin , Cai, Zhi et al. A Novel Heuristic Emergency Path Planning Method Based on Vector Grid Map [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2021 , 10 (6) .
MLA Yang, Bowen et al. "A Novel Heuristic Emergency Path Planning Method Based on Vector Grid Map" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10 . 6 (2021) .
APA Yang, Bowen , Yan, Jin , Cai, Zhi , Ding, Zhiming , Li, Dongze , Cao, Yang et al. A Novel Heuristic Emergency Path Planning Method Based on Vector Grid Map . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2021 , 10 (6) .
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A Method of Emergency Prediction Based on Spatiotemporal Context Time Series EI
会议论文 | 2021 , 12567 LNCS , 14-28 | 1st International Conference on Spatial Data and Intelligence, SpatialDI 2020
摘要&关键词 引用

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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一种基于图卷积的遥感图像道路提取方法 incoPat
专利 | 2021-01-16 | CN202110058757.6
摘要&关键词 引用

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 .
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基于元路径嵌入的移动应用需求偏好分析方法 CSCD
期刊论文 | 2021 , 58 (04) , 749-762 | 计算机研究与发展
摘要&关键词 引用

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

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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 .
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A Novel Heuristic Method for Emergency Path Planning Based on Dynamic Spatial-Temporal Characteristics Map EI
会议论文 | 2021 , 1756 (1) | 2020 International Conference on Industrial Applications of Big Data and Artificial Intelligence, BDAI 2020
摘要&关键词 引用

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 :

Big data Big data Heuristic algorithms Heuristic algorithms Heuristic methods Heuristic methods Intelligent systems Intelligent systems Intelligent vehicle highway systems Intelligent vehicle highway systems Motor transportation Motor transportation Roads and streets Roads and streets

引用:

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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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College Students’ Portrait Technology Based on Hybrid Neural Network EI
会议论文 | 2021 , 12567 LNCS , 165-183 | 1st International Conference on Spatial Data and Intelligence, SpatialDI 2020
摘要&关键词 引用

摘要 :

Students have produced a large number of data in the teaching life of colleges and universities. At present, the development trend of university data is to gradually form a high-dimensional data storage system composed of student status information, educational administration information, behavior information, etc. It is of great significance to make use of the existing data of students in Colleges and universities to carry out deep-seated and personalized data mining for college education decision-making, implementation of education and teaching programs, and evaluation of education and teaching. Student portrait is the extension of user portrait in the application of education data mining. According to the data of students’ behavior in school, a labeled student model is abstracted. To address above problems, a hybrid neural network model is designed and implemented to mine the data of college students and build their portraits, so as to help students’ academic development and improve the quality of college teaching. In this paper, experiments are carried out on real datasets (the basic data of a college’s students in Beijing and the behavior data in the second half of 2018–2019 academic year). The results show that the hybrid neural network model is effective. © 2021, Springer Nature Switzerland AG.

关键词 :

Clustering algorithms Clustering algorithms Data mining Data mining Decision making Decision making Digital storage Digital storage Education computing Education computing Neural networks Neural networks Students Students

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GB/T 7714 Ding, Zhiming , Li, Xuyang . College Students’ Portrait Technology Based on Hybrid Neural Network [C] . 2021 : 165-183 .
MLA Ding, Zhiming et al. "College Students’ Portrait Technology Based on Hybrid Neural Network" . (2021) : 165-183 .
APA Ding, Zhiming , Li, Xuyang . College Students’ Portrait Technology Based on Hybrid Neural Network . (2021) : 165-183 .
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A Tensor-Based Approach for the QoS Evaluation in Service-Oriented Environments SCIE
期刊论文 | 2021 , 18 (3) , 3843-3857 | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
WoS核心集被引次数: 6
摘要&关键词 引用

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 :

Cloud computing Cloud computing CP decomposition CP decomposition Marine vehicles Marine vehicles Matrix decomposition Matrix decomposition Observers Observers QoS evaluation QoS evaluation Quality of service Quality of service Service-oriented environments Service-oriented environments Social networking (online) Social networking (online) Tensor Tensor Tensors Tensors

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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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A User Requirements Preference Analysis Method of Mobile Applications Based on Meta-Path Embedding EI
期刊论文 | 2021 , 58 (4) , 749-762 | Computer Research and Development
摘要&关键词 引用

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 :

Embeddings Embeddings Mobile computing Mobile computing Semantics Semantics

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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 .
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交通路况感知下的自适应动态路径规划方法 CSCD
期刊论文 | 2021 , 21 (4) , 156-162,247 | 交通运输系统工程与信息
摘要&关键词 引用

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.

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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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