SciTePress - Affiliation Profile

BeiJing Jiaotong University

Context (please use complete words only)

Field

Sort by

131 Papers

What Roles Do Decisions Play in Context-aware Business Process Management?

Topics: Knowledge Management; Ubiquitous Computing; Enterprise Knowledge Engineering and Management; Business Modeling and Business Process Management

Authors: Rongjia Song ¹ , Jan Vanthienen ² , Weiping Cui ³ , Ying Wang ⁴ and Lei Huang ⁴

Affiliations: ¹ Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing, China, Department of Decision Sciences and Information Management, Faculty of Economics and Business, KU Leuven, Leuven and Belgium , ² Department of Decision Sciences and Information Management, Faculty of Economics and Business, KU Leuven, Leuven and Belgium , ³ State Grid Energy Research Institute, State Grid Corporation of China, Beijing and China , ⁴ Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing and China

Digital Object Identifier: 10.5220/0007736506260633

Proceedings of ICEIS 2019, ISBN: 978-989-758-372-8

Quick Abstract

Recently, Business Process Management (BPM) is moving towards the separation of concerns paradigm by externalizing the decisions from the process flow. Most notably, the introduction of the Decision Model and Notation (DMN) standard provides a solution and technique to model decisions and the process flow separately and consistently integrated. In the area of context-aware BPM, decisions are still considered within business processes in a traditional way. In this paper, we examine how context affects business processes at design time and at run time. Different types of decisions influence the context-aware effect on business processes in their own way. Through analyzing these effects, we have observed that decisions play key roles in the ecosystem of context-aware BPM, including identifying the need of context-awareness, anticipating possible context-dependent variants and the contextualization of a business process. We also examine the opportunity to apply the DMN technique in context-aware BPM.

An Analysis on Commuting Travel Time Reliability: A Case study in Beijing

Authors: Lixia Lei and Qi Zhang

Affiliation: School of Traffic and Transportation, Beijing Jiaotong University, China

Digital Object Identifier: 10.5220/0006971003750378

Proceedings of ICECTT 2018, ISBN: 978-989-758-312-4

Quick Abstract

Based on the AFC data of Beijing metro, this paper analyzes the travel time distribution and reliability of subway commuter travel. This paper first analyzes the OD commuter travel time distribution by combing a large amount of actual data. The results indicate that the OD commuter travel time distribution follows the Lognormal distribution. Then the paper analyzes the applicability of travel time reliability evaluation index, which shows that the Buffer time index is suitable for evaluating the reliability of subway OD travel time.

Analysis and Comparison of Traffic Accident Regression Prediction Model

Authors: Weihong Ma and Zhenzhou Yuan

Affiliation: MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, China

Digital Object Identifier: 10.5220/0006970803640369

Proceedings of ICECTT 2018, ISBN: 978-989-758-312-4

Quick Abstract

The purpose of this paper is to analyse the relationship between the number of road traffic accidents and road length, traffic conditions and other factors. Taking the number of road traffic accidents subject to Poisson regression, negative binomial (NB) regression and Zero Inflated Negative Binomial (NINB) regression as response variables, we construct a generalized linear model by introducing a joint function. We construct the Traffic Accident Prediction Model Based on Random Forest (RF) Regression. The defect models are compared, and based on the predictive model, selecting the significant factors and determining the degree of influence factors of road traffic accidents, reducing the number of traffic accidents and improve the overall security of the road.

Influences of TOC on Pore Structure of Shale from Montney Formation, West-Central Alberta, Canada

Authors: Tianyu Xia ¹ , Zhaohui Xia ² , Penghui Su ² , Liangchao Qu ² , Wei Ding ² and Yunpeng Hu ²

Affiliations: ¹ The Middle School Affiliated to Beijing Jiaotong University and Beijing, China , ² PetroChina Research Institute of Petroleum Exploration and Development and Beijing, China

Digital Object Identifier: 10.5220/0007433205410546

Proceedings of IWEG 2018, ISBN: 978-989-758-342-1

Quick Abstract

Shale gas has become one of the key points for the development of unconventional oil and gas. To better understand the influence factors of TOC in shale from Montney formation, total organic carbon (TOC), Rock-Eval analysis and saturation measurements were conducted to quantitatively analyze the influence factors of TOC. The results show that the kerogen type in the study block is gas-prone. Porosity and permeability have good correlations with TOC for high-maturity samples, demonstrating that organic pores are well developed in studied shale. The relationship between TOC and Tmax is not obvious in low maturity samples, whereas the relationship between TOC and Tmax show a negative correlation for the samples with high maturity. Organic matter begins to transform into hydrocarbon before Tmax reaches a certain level. Gas saturation increases with the rise of TOC. Bulk density decreases with the increase of TOC. In general, TOC has a great influence on the pore structure of shale and the hydrocarbon-generating transformation of kerogen and could well characterize the gas content and thermal evolution of the reservoir.

Optimization for Urban Rail Transit Network Planning Evaluation Based on Virtual Unit and AHP-DEA Model

Authors: Zhaoping Cai and Baoming Han

Affiliation: School of traffic and transportation ,Beijing Jiaotong University, China

Digital Object Identifier: 10.5220/0006970403430346

Proceedings of ICECTT 2018, ISBN: 978-989-758-312-4

Quick Abstract

Taking the optimization method for urban rail transit network planning as the background, this paper analyses the characteristics of existing evaluation methods, and establishes a comprehensive AHP-DEA evaluation model based on the traditional DEA method. The first stage of the model calculates the weight of criterion level as to the target level by AHP, and the second stage using DEA to calculate the efficiency index of the plan level for the criterion level. Finally, the overall weight of each plan is obtained from the two stages. In addition, the problem of DEA aberration is solved by introducing the virtual unit. Finally, the proposed method is applied and shows good effectiveness.

Research and Application of Array Dielectric Logging Tool

Authors: Zhiqiang Li , Xinghai Gui , Zhiqiang Yang , Chen Li , Junyi Li and Yongli Ji

Affiliation: The 22nd Research Institute of China Electronics Technology Group Corporation, China

Digital Object Identifier: 10.5220/0007431104060414

Proceedings of IWEG 2018, ISBN: 978-989-758-342-1

Quick Abstract

Dielectric logging is an important tool in geophysical exploration. For formation with fresh water and where water salinity is unknown, it has good performance in distinguishing oil and water layers. This paper presents the calculation of electromagnetic field in layered medium by analytical formulas and by finite element method, and compares the accuracy of these two methods. The inversion charts, measurements’ depth and vertical resolution are researched. The responses of thin layers and thin interbed layers are also discussed. The designed array dielectric logging tool has been tested in practical wells. Research results show that the analytical formulas are fast and effective for calculating apparatus response of layered medium, and also for retrieving dielectric constant and resistivity. For the array dielectric logging tool, the depth of investigation is 10-25cm, and the vertical resolution is 4cm. The array dielectric logging tool has been tested in XX oil field. For freshwater formation with high resistivity, the measured dielectric constant is about 10 in oil layers, and the measured dielectric constant is about 20 in water layers. The device could distinguish oil and water layers obviously, which offer additional method for formation evaluation.

Research on the Controllability of Urban Road Network

Authors: Chuanci Cai and Xuan Zhang

Affiliation: School of Traffic and Transportation, Beijing Jiaotong University, China

Digital Object Identifier: 10.5220/0006970203340338

Proceedings of ICECTT 2018, ISBN: 978-989-758-312-4

Quick Abstract

In order to study the factors influencing the controllability of urban road network, the paper calculates the network topology features of the real urban road networks and the simulated urban road networks, such as average degree, 2-core, clustering coefficient, heterogeneity, organic ratio and meshedness coefficient. According to the PBH judgment theorem and the minimal control input theorem, the minimal number of control inputs and the network controllability are obtained. Then the correlation between network controllability and topological characteristics is analyzed. It is found that heterogeneity, 2-core and average degree have a great influence on controlling the urban road network. The results show that it is of great significance to balance the function, strengthen the connectivity and regularity of network to ensure the orderly operation of urban road network.

Size Effect of Bending Properties of Zirconia Ceramics Based on Cosserat Theory

Authors: Y. Q. Xu ¹ , M. M. Li ² and X. Huo ¹

Affiliations: ¹ Department of Civil Engineering and Beijing jiaotong University, China , ² Beijing NO.6 Construction Engineering Quality Test Department CO. andLTD., China

Digital Object Identifier: 10.5220/0007439003710377

Proceedings of IWMCE 2018, ISBN: 978-989-758-346-9

Quick Abstract

In order to study the size effect of zirconia ceramics flexural properties, based on the Cosserat generalized continuum theory, the zirconia ceramic flexural specimens with different heights were numerically simulated, and the intrinsic size parameters of zirconia ceramics were determined by comparing with experimental data. Compared with the classical continuum theory, it is verified that the calculated value of bending strength based on Cosserat theory is closer to the experimental results, which proves that Cosserat theory can explain the size effect of zirconia ceramics flexural strength. The equation of size effect of nominal bending strength and nominal bending stiffness is obtained by numerical regression based on the theoretical values of classical continuum.

Intuitionistic Fuzzy Sets with Shannon Relative Entropy

Topic: Fuzzy Systems and Signals

Authors: Lingling Zhao ¹ , Yingjun Zhang ² , Peijun Ma ¹ , Xiaohong Su ¹ and Chunmei Shi ¹

Affiliations: ¹ Harbin Institute of Technology, China , ² Beijing Jiaotong University, China

Digital Object Identifier: 10.5220/0005186001500157

Proceedings of BIOSIGNALS 2015/BIOSTEC, ISBN: 978-989-758-069-7

Quick Abstract

Bio-signal or bio-medical pattern recognition includes uncertainty. Intuitionistic fuzzy sets (IFSs) are effective representation of the uncertainty factor. We present a pattern recognition method based on the weighted distance of intuitionistic fuzzy sets (IFSs) in dealing with the fuzzy recognition problem. The proposed method has a particular focus on handling the problem of choosing feature weights and feature selection in the framework of IFSs. Depending on the idea of information-theoretic entropy and relative entropy, a method is presented in dealing with the said two key problems, i.e., choosing feature weights and feature selection. The proposed pattern recognition method in the framework of IFSs can not only represent the dissimilarity between pair of features based on choosing feature weights but also reduce the computational complexity depending on feature selection. Finally, a numerical example is utilized to validate the proposed pattern recognition method.

Related Ontology Subjects/Areas/Topics (3)

Biomedical Engineering

Biomedical Signal Processing

Fuzzy Systems and Signals

Research on Dominant Process of Intellectual Resources in Knowledge Service Project

Authors: Chen Chi and Chen Li

Affiliation: School of Traffic and Transportation, Beijing Jiaotong University, China

Digital Object Identifier: 10.5220/0006025503300333

Proceedings of ISME 2015, ISBN: 978-989-758-163-2

Quick Abstract

The work built a model of dominant process of knowledge service in intellectual resources using systematic engineering method, modern knowledge management theory and method for the dominant change of recessive resource. Furthermore, the structure, principle and elements of the model were descripted. Besides, the dominant process of intellectual resource was divided into requirement elicitation, intelligence processing and knowledge diffusion. Its links are further subdivided and studied.

Context (please use complete words only)

Field

Sort by

Topic(s):

Title:
ISBN:
Year:
Acronym:
Subject:

Title:
Author:
Affiliation:
Subject:

Name:
Affiliation:
Country:
Conference:
Subject:

Name:
Country:
Subject:

Affiliation

Filter listed results, by