A multi-strategy approach for the merging of multiple taxonomies
作者：
Chen, Mao
（ ;Wu, Chao
* ;Yang, Zongkai;Liu, Sanya;Chen, Zengzhao;...
期刊：
Journal of Information Science ,2022年48(3):283-303 ISSN：0165-5515
通讯作者：
Wu, Chao
作者机构：
[Chen, Mao; Yang, Zongkai; He, Xiuling; Wu, Chao; Chen, Zengzhao; Liu, Sanya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构：
[Wu, Chao] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
关键词：
Multiple taxonomies merging;resource reuse;schema integration;taxonomy
摘要：
Taxonomy merging is an important work to provide a uniform schema for several heterogeneous taxonomies. Previous studies primarily focus on merging two taxonomies in a specific domain, while the merging of multiple taxonomies has been neglected. This article proposes a taxonomy merging approach to automatically merge multiple source taxonomies into a target taxonomy in an asymmetric manner. The approach adopts a strategy of breaking up the whole into parts to decrease the complexity of merging multiple taxonomies and employs a block-based method to reduce the scale of measuring semantic relations between concept pairs. In addition, for the problem of multiple inheritance, a method of topical coverage is proposed. Experiments conducted on synthetic and real-world scenarios indicate that the proposed merging approach is feasible and effective to merge multiple taxonomies. In particular, the proposed approach works well in the aspects of limiting the semantic redundancy and establishing high-quality hierarchical relations between concepts.
语种：
英文
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Analysis of Spatial Distribution Equilibrium of Educational Information Development with Taking Hubei Province's Digital Campus Construction as an Example
作者：
Chen Wu;Jiman Ma;Di Wu;Jian Xu;Ye Cai
作者机构：
[Chen Wu; Jiman Ma; Di Wu; Jian Xu; Ye Cai] National Engineering Research Center For E-Learning, Central China Normal University, Wuhan, China
会议名称：
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
会议时间：
08 December 2020
会议地点：
Takamatsu, Japan
会议论文集名称：
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
关键词：
educational information development;spatial distribution equilibrium;standard deviational ellipse;digital campus
摘要：
The balanced development of education informatization is an important foundation for realizing education equity. Traditional research lacks a macro analysis perspective on the education informatization development, which will inevitably lead to the spatial imbalance in the construction of digital campuses. Analyzing the spatial distribution characteristics hidden behind will be useful to guide the precise management of the construction of education informatization. This paper proposes a method for analyzing the spatial distribution equilibrium of educational information development based on standard deviational ellipse analysis model. It takes Hubei Province, a pilot province for education informatization in China, as the research object, and comparatively analyzes the spatial distribution characteristics of the construction of digital campus from 2017 to 2019. The case study of Hubei province finally provides scientific judgment basis and theoretical practice reference for the development and construction of education informatization in the new era of education informatization 2.0.
语种：
英文
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A Tabu search algorithm with controlled randomization for constructing feasible university course timetables
作者：
Chen, Mao
（ ;Tang, Xiangyang;Song, Ting;Wu, Chao;Liu, Sanya
* ;...
期刊：
Computers & Operations Research ,2020年123:105007 ISSN：0305-0548
通讯作者：
Liu, Sanya
作者机构：
[Chen, Mao; Peng, Xicheng; Tang, Xiangyang; Wu, Chao; Liu, Sanya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Song, Ting] Henan Univ Chinese Med, Sch Informat Technol, Zhengzhou 450008, Peoples R China.
通讯机构：
[Liu, Sanya] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
关键词：
Controlled randomization;Tabu search;Threshold mechanism;University course timetabling problem
摘要：
University Course Timetabling Problem (UCTP) is one of the most studied timetabling problems. In this work, the problem of finding a feasible solution for the UCTP, i.e., a solution that satisfies all hard constraints, is addressed. To cater for the algorithm design, the problem is firstly reformulated into a version where only one hard constraint needs to be considered in the minimization procedure. Then a novel Tabu search algorithm is proposed, which integrates the controlled randomization strategy and threshold mechanism into the original Tabu search framework. Experiments on a set of 60 well-known Lewis benchmark instances show that the proposed algorithm achieves competitive results compared with eight reference algorithms. In particular, when the stop condition is relaxed, the proposed algorithm can find feasible solutions for all the 60 instances, two of which are missed in previous study. © 2020 Elsevier Ltd
语种：
英文
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教育大数据标准体系研究
期刊：
开放教育研究 ,2020年26(02):75-82 ISSN：1007-2179
作者机构：
[吴砥] 华中师范大学（华中）.教育部教育信息化战略研究基地;[饶景阳] 华中师范大学.湖北教育信息化发展研究中心;[吴晨] 华中师范大学.国家数字化学习工程技术研究中心
关键词：
教育大数据;大数据标准;标准体系
摘要：
随着大数据技术在教育领域的深入应用,教育大数据支撑下的个性化学情诊断、精准化学习干预和精细化校园管理已成为教育信息化的重点关注内容。教育大数据是基于特定教育目标,由教学和管理活动产生,并基于教育主题采集到的全量数据。它在教育信息化推进过程中,存在教育系统数据互通低效、协同困难和拓展受限等诸多问题。教育大数据的标准化对于解决上述问题具有基础性和引领性作用,对于规范教育信息化相关产业发展也有现实意义。本文梳理了国内外教育大数据的相关政策法规,分析了国内外教育大数据相关标准的设计框架,并围绕教育大数据关键技术的现实需求,设计了面向多用户群的教育大数据标准体系,以期为推进我国教育大数据的标准化、规范化提供参考。
语种：
中文
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Multi-Proxy Constraint Loss for Vehicle Re-Identification
作者：
Chen, Xu;Sui, Haigang* ;Fang, Jian;Zhou, Mingting;Wu, Chen
期刊：
Sensors ,2020年20(18):5142 ISSN：1424-8220
通讯作者：
Sui, Haigang
作者机构：
[Zhou, Mingting; Chen, Xu; Sui, Haigang] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.;[Fang, Jian] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Wu, Chen] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构：
[Sui, Haigang] W;Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
关键词：
Multi‐proxy constraint loss;Sampling considering viewpoints;Vehicle re‐identification
摘要：
Vehicle re‐identification plays an important role in cross‐camera tracking and vehicle search in surveillance videos. Large variance in the appearance of the same vehicle captured by different cameras and high similarity of different vehicles with the same model poses challenges for vehicle re‐identification. Most existing methods use a center proxy to represent a vehicle identity; however, the intra‐class variance leads to great difficulty in fitting images of the same identity to one center feature and the images with high similarity belonging to different identities cannot be separated effectively. In this paper, we propose a sampling strategy considering different viewpoints and a multi‐proxy constraint loss function which represents a class with multiple proxies to perform different constraints on images of the same vehicle from different viewpoints. Our proposed sampling strategy contributes to better mine samples corresponding to different proxies in a mini‐batch using the camera information. The multi‐proxy constraint loss function pulls the image towards the furthest proxy of the same class and pushes the image from the nearest proxy of different class further away, resulting in a larger margin between decision boundaries. Extensive experiments on two large‐scale vehicle datasets (VeRi and VehicleID) demonstrate that our learned global features using a single‐branch network outperforms previous works with more complicated network and those that further re‐rank with spatio‐temporal information. In addition, our method is easy to plug into other classification methods to improve the performance. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
语种：
英文
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An efficient deterministic heuristic algorithm for the rectangular packing problem
作者：
Chen, Mao
* （ ;Wu, Chao;Tang, Xiangyang;Peng, Xicheng;Zeng, Zhizhong;...
期刊：
Computers & Industrial Engineering ,2019年137:106097 ISSN：0360-8352
作者机构：
[Chen, Mao; Zeng, Zhizhong; Peng, Xicheng; Wu, Chao; Tang, Xiangyang; Liu, Sanya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Chen, Mao] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
关键词：
Angle-occupying placement;Multistart strategy;Packing;Two-dimensional rectangular packing problem
摘要：
This paper presents a deterministic heuristic algorithm for solving the NP-hard two-dimensional rectangular packing problem with the objective of maximizing the filling rate of a rectangular sheet. The key component of the proposed algorithm is a best-fit constructive procedure, according to which, the rectangles are packed into the sheet one by one and each rectangle is packed into the sheet by an angle-occupying placement with maximum fit degree. To further improve the algorithm's searching ability, a look-ahead strategy and a multistart method are introduced. The proposed algorithm is evaluated on five sets of 112 well-known test instances, and the computational results disclose that the proposed algorithm is competitive with the current state-of-the-art algorithms. The effects of the essential components of the proposed algorithm are investigated by a series of experimental analysis. Additionally, we adapt the proposed packing strategy to solve a variant of 2DRP, the constrained two-dimensional cutting (or packing) (CTDC) problem. Computational experiments on 21 classical CTDC problem instances and comparisons with two state-of-the-art algorithms verifies the effectiveness and efficiency of the adapted algorithm. © 2019 Elsevier Ltd
语种：
英文
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Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data
作者：
Wu, Chen;Zhu, Qing* ;Zhang, Yeting;Xie, Xiao;Qin, Han;...
期刊：
ISPRS International Journal of Geo-Information ,2018年7(7):255 ISSN：2220-9964
通讯作者：
Zhu, Qing
作者机构：
[Wu, Chen] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.;[Zhang, Yeting; Wu, Chen; Zhu, Qing] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei, Peoples R China.;[Zhu, Qing] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Sichuan, Peoples R China.;[Xie, Xiao] Chinese Acad Sci, Inst Appl Ecol, Lab Environm Computat & Sustainabil Liaoning Prov, Shenyang 110016, Liaoning, Peoples R China.;[Xie, Xiao] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Hubei, Peoples R China.
通讯机构：
[Zhu, Qing] W;[Zhu, Qing] S;Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei, Peoples R China.;Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Sichuan, Peoples R China.
关键词：
GeoVideo data;movement process;database organization;multi-modal retrieval
摘要：
With the wide deployment of the video sensor network and the rapid development of video spatialization technology, the large volume of complex GeoVideo data necessitates improvements in the application efficiency of the GeoVideo database and GeoVideo surveillance system. Traditional storage management approaches focus on the optimization of access to the GeoVideo stream. However, they suffer from poor management of the diverse movement processes contained within it; for example, they cannot support associative queries or comprehensive analysis of multi-type GeoVideo data in complex geographic environments. This paper takes physical movement process in GeoVideo as a new type of object and carries out an objectified organization of the heterogeneous GeoVideo data around it (including the video stream, spatial references, interpretations of the video data, and the overall scene) in a Not only SQL-Structured Query Language (NoSQL-SQL) hybrid GeoVideo database. This paper systematically explores the hybrid spatiotemporal indexes and multi-modal retrieval methods around movement processes, which enrich the query modes of the GeoVideo data. A prototype implementation and experimental analysis are presented to prove the feasibility and effectiveness of this organization and retrieval approach. © 2018 by the authors.
语种：
英文
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