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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho…
Asif Rahman, Siril Yella, Mark Dougherty
Increasing costs and competitive business strategies are pushing sawmill enterprises to make an effort for optimization of their process management. Organizational decisions mainly concentrate on performance and reduction of operational costs in order to main…
Xiaoguang Yang, Mohammad Behroozi, Oluremi A. Olatunbosun
Finite Element (FE) analysis has become the favoured tool in the tyre industry for virtual development of tyres because of the ability to represent the detailed lay - up of the tyre carcass. However, application of FE analysis in tyre design and development i…
Mohammad Yahya H. Al-Shamri, Nagi H. Al-Ashwal
Memory-based collaborative recommender system (CRS) computes the similarity between users based on their declared ratings. However, not all ratings are of the same importance to the user. The set of ratings each user weights highly differs from user to user a…
Yang Wang, Jie Xu, Limin Jia, Jianyuan Guo, Ping Liang, Bo Wang, Jinxin Xie
With the increase of Beijing urban rail transport network, the structure of the road network is becoming more complex, and passengers have more travel options. Together with the complex paths and different timetables, taking the last train is becoming much mo…
Xiukun Wei, Kun Guo, Limin Jia, Guangwu Liu, Minzheng Yuan
This paper presents an innovative approach for the fault isolation of Light Rail Vehicle (LRV) suspension system based on the Dempster-Shafer (D-S) evidence theory and its improvement application case. The considered LRV has three rolling stocks and each one…
Yong Qin, Zhenyu Zhang, Bo Chen, Zongyi Xing, Jing Liu, Jun Li
Security situation awareness is a new technology about security. This paper brings it to the assessment of security situation of metro station which serves as a new way to secure the security of passengers as well as the operation of the metro station. This p…
Jun Jin, Man Li, Yanhui Wang, Lingxi Zhu, Liang Ping, Bo Wang, Ping Li
Current urban rail transit has become a major mode of transportation, and passenger is an important factor of urban rail transport, so this article is based on passenger and the degree of the road network structure, calculating the point intensity of stations…
Qian Li, Yong Qin, Ziyang Wang, Zhongxin Zhao, Minghui Zhan, Yu Liu, Zhiguo Li
This paper studies the short-term prediction methods of sectional passenger flow, and selects BP neural network combined with the characteristics of sectional passenger flow itself. With a case study, we design three different schemes. We use Matlab to realiz…
Guiling Liao, Yong Qin, Xiaoqing Cheng, Lisha Pan, Lin He, Shan Yu, Yuan Zhang
For the important issues of security service of rail vehicles, the online quantitative security assessment method of the service status of rail vehicles and the key equipments is urgently needed, so the method based on safety region was proposed in the paper.…
Xiaoqing Cheng, Zongyi Xing, Yong Qin, Yuan Zhang, Shaohuang Pang, Jun Xia
The metro door system is one of the high failure rate subsystems of metro trains. The Failure Mode, Effects and Criticality Analysis (FMECA) method is applied to analyze the reliability of metro door system in this paper. Firstly, failure components of the do…
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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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