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Student Performance Prediction Based on Behavior Process Similarity

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Chinese Journal of Electronics 2020年第6期29卷 1110-1118页

作者： BAO Yunxia LU Faming WANG Yanxiao zeng qingtian LIU Cong College of Computer Science and Engineering Shandong University of Science and Technology College of Computer Science and Technology Shandong University of Technology

Student performance prediction plays an important role in improving education *** that students,exercise-answering processes exhibit different characteristics according to their different performance levels,this paper aims to mine the performance-related information from students’ exercising logs and to explore the possibility of predicting students’ performance using such process-characteristic information.A formal model of student-shared exercising processes and its discovery method from students’ exercising logs are *** similarity measures between students’ individual exercising behavior and student-shared exercising processes are presented.A prediction method of students’ performance level considering these similarity measures is explored based on classification *** experiment on real-life exercise-answering event logs shows the effectiveness of the proposed prediction method.

关键词： Data handling techniques performance levels behavior process similarity similarity measures data mining Computer-aided instruction student-shared process-characteristic information computer aided instruction real-life exercise-answering event logs student performance prediction performance-related information Knowledge engineering techniques prediction method educational courses

Joint Resource Allocation and Admission Control Mechanism in Software Defined Mobile Networks

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China Communications 2019年第5期16卷 33-45页

作者： Geng Chen Yueyue Zhang Yunchi Shi qingtian zeng College of Electronic and Information Engineering Shandong University of Science and TechnologyQingdao 266590China Shanghai Aerospace Electronic Technology Institute Shanghai 201109China

This paper presented a joint resource allocation(RA) and admission control(AC) mechanism in software defined mobile networks(SDMNs). In this mechanism, the joint RA and AC problem can be formulated as an optimization problem with the aim of maximizing the number of admitted users while simultaneously minimizing the number of allocated channels. Since the primal problem is modeled to be a mixed integer nonlinear problem(MINLP), we attain the suboptimal solutions to the primal MINLP by convex relaxation. Additionally, with the global information collected by the SDMNs controller, a centralized joint RA and AC(CJRA)algorithm is proposed by the Lagrange dual decomposition technique to obtain the global optimum. Meanwhile, we propose an OpenFlow rules placement strategy to realize CJRA in an efficient way. Moreover, a distributed algorithm is also developed to find the local optimum, showing a performance benchmark for the centralized one. Finally, simulation results show that the proposed centralized algorithm admits more users compared with the distributed.

关键词： centralized algorithm joint resource allocation and admission control OpenFlow software defined mobile networks(SDMNs)

A Construction Method of Arbitrary-Length Polar Codes

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China Communications 2023年第10期20卷 153-162页

作者： Xiaojun Zhang Chengguan Chen Rongcai Zhang Jianming Cui qingtian zeng Shandong University of Science and Technology Qingdao 266590China State Key Laboratory of High-End Server and Storage Technology Jinan 250101China

To remove the restriction on code length of polar codes,this paper proposes a construction scheme,called stepwise polar codes,which can gen-erate arbitrary-length polar *** stepwise polar codes are generated by sub-polar codes with different code *** improve coding performance,sub-polar codes are united by polarization effect priority algorithm,which can reduce the number of in-completely polarized ***,the construction method of the generator matrix of the stepwise po-lar code is ***,we prove that the proposed scheme has lower decoding complexity than punctured,multi-kernel polar *** results show that the proposed method can achieve similar decoding performance compared with the conventional punctured polar codes,rate-compatible punctured polar code,PC-short and asymmetric polar codes(APC)when code length N=48 and 72,respectively.

关键词： code construction polar codes arbitrary-length channel polarization union encoding

A new method of block shape classification

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Science China(Technological Sciences) 2011年第1期54卷 110-115页

作者： FENG XingLong LI De WANG LiGuan JING YongBin XUN XueMei zeng qingtian Yuxi Mining Co. Ltd. Yuxi 653100 China School of Resources and Safety Engineering Central South University Changsha 410083 China Research Center of Digital Mine Central South University Changsha 410083 China

The shapes of block within the rock mass have an important effect on the rock properties, so it＇s very important to evaluate the shapes of rock fragmentation and to determine the geometric characteristics distribution of the block. The previous methods to classify rock block shape are based on the assumption that a block shape is approximately orthogonal, which is acceptable in only a few rock masses. This paper proposes a new method for block shape classification using triangular diagram together with parameters of co-linearity e and volume coefficient K, which combines the shape categorization with block volume for statistical analysis. Rock block equivalent size calculation methods based on block shape is proposed and the block cumulative percentage of total volume statistical analysis is given. In order to verify this block shape classification method, three ideal rock masses with approximately orthogonal joint sets have been generated and simulated.

关键词： block shape co-linearity volume coefficient

Remaining Time Prediction for Business Processes with Concurrency Based on Log Representation

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China Communications 2021年第11期18卷 76-91页

作者： Rui Cao Weijian Ni qingtian zeng Faming Lu Cong Liu Hua Duan College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao 266510China School of Computer Science and Technology Shandong University of TechnologyZibo 255000China

Remaining time prediction of business processes plays an important role in resource scheduling and plan *** structural features of single process instance and the concurrent running of multiple process instances are the main factors that affect the accuracy of the remaining time *** prediction methods does not take full advantage of these two aspects into *** address this issue,a new prediction method based on trace representation is *** specifically,we first associate the prefix set generated by the event log to different states of the transition system,and encode the structural features of the prefixes in the ***,an annotation containing the feature representation for the prefix and the corresponding remaining time are added to each state to obtain an extended transition ***,states in the extended transition system are partitioned by the different lengths of the states,which considers concurrency among multiple process ***,the long short-term memory(LSTM)deep recurrent neural networks are applied to each partition for predicting the remaining time of new running *** extensive experimental evaluation using synthetic event logs and reallife event logs,we show that the proposed method outperforms existing baseline methods.

关键词： business process monitoring remaining time prediction LSTM feature representation concurrency

Explainable Business Process Remaining Time Prediction Using Reachability Graph

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Chinese Journal of Electronics 2023年第3期32卷 625-639页

作者： CAO Rui zeng qingtian NI Weijian LU Faming LIU Cong DUAN Hua College of Computer Science and Engineering Shandong University of Science and Technology School of Computer Science and Technology Shandong University of Technology

With the recent advances in the field of deep learning, an increasing number of deep neural networks have been applied to business process prediction tasks, remaining time prediction, to obtain more accurate predictive results. However, existing time prediction methods based on deep learning have poor interpretability, an explainable business process remaining time prediction method is proposed using reachability graph,which consists of prediction model construction and visualization. For prediction models, a Petri net is mined and the reachability graph is constructed to obtain the transition occurrence vector. Then, prefixes and corresponding suffixes are generated to cluster into different transition partitions according to transition occurrence vector. Next,the bidirectional recurrent neural network with attention is applied to each transition partition to encode the prefixes, and the deep transfer learning between different transition partitions is performed. For the visualization of prediction models, the evaluation values are added to the sub-processes of a Petri net to realize the visualization of the prediction models. Finally, the proposed method is validated by publicly available event logs.

关键词： Deep learning Training Visualization Recurrent neural networks Petri nets Transfer learning Process control

3D structure parameterization design and modeling for irregular structure of stope bottom

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High Technology Letters 2016年第1期22卷 55-62页

作者：曾庆田 Wang Liguan School of Resources and Safety Engineering Central South University Yuxi Mining Co. Ltd.

Stope mining design is a very important and complicated task in daily production design and technical management of an underground *** on workface technology and human-computer interaction technology,this study introduces a method of 3D parametric design for the irregular structure of stope bottoms,and focuses on solving technical problems in surface modeling of stope bottom *** of the minimum span length algorithm(MSLA) and the shortest path search algorithm(SPSA) is conducted to solve the problem of contour-line based instant modeling of stope bottom structures,which makes possible the 3D parametric design for irregular structure of stope *** process and relevant methods of the proposed algorithms are also *** and reliability of the proposed modeling method are testified in a case *** practice,the proposed 3 D parameterization design method for irregular structure stope bottom proves to be very helpful to precise 3D parametric *** method is capable of contributing to improved efficiency and precision of stope design,and is worthy of promotion.

关键词： irregular stope bottom structure stope structure parameterization design surface reconstruction modeling

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基于同步核的BPMN模型融合

系统工程理论与实践 2016年第3期36卷 795-804页

作者：鲁法明曾庆田段华程久军同济大学嵌入式系统与服务计算教育部重点实验室上海200092 山东科技大学信息科学与工程学院青岛266590 山东科技大学电子通信与物理学院青岛266590 山东科技大学数学与系统科学学院青岛266590

流程融合有利于优化企业内部流程、促进企业间的有效合作.然而,现有流程融合技术在流程行为不变性保持以及融合过程自动化方面存在不足,而且未见BPMN模型的融合方法.为解决上述问题,本文提出了一种基于同步核的任务依赖关系建模机制,给... 详细信息

流程融合有利于优化企业内部流程、促进企业间的有效合作.然而,现有流程融合技术在流程行为不变性保持以及融合过程自动化方面存在不足,而且未见BPMN模型的融合方法.为解决上述问题,本文提出了一种基于同步核的任务依赖关系建模机制,给出了流程的BPMN模型与同步核模型之间的相互转换方法,实现了相应的原型系统,最终基于同步核的融合实现了BPMN模型的融合.

关键词：流程融合流程建模 BPMN

Decremental Learning Algorithms for Nonlinear Langrangian and Least Squares Support Vector Machines

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Decremental Learning Algorithms for Nonlinear Langrangian an...