Measuring the Service Quality of Urban Rail Transit Based on Interval-Valued Intuitionistic Fuzzy Model

Yuning Wang,Ye Shi 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.2

The service quality is a key driving factor of passengers’ intention of reusing the urban rail transit. Developing and using multi-criteria evaluation models to prioritize rail transit service quality is important for promoting sustainable development of urban rail transit. This paper involves a multi-attribute group decision making model which aims to assess the service quality for the urban rail transit, the assessment is mainly build on the interval-valued intuitionistic fuzzy value. We also establish the model to identify and confirm the optimal weights of attribute with the principle of maximum entropy. Taking Tianjin urban rail transit, which contains six lines, as an example, a comprehensive analysis for the service quality of the urban rail transit lines were conducted. The research shows that the line M3 owns the highest level of service quality, while the lowest service quality level is line M9. Meanwhile, the result shows that the process of decision making is not comparatively sensitive with the weight of passengers. The results can promote the operator of urban rail transit to identify their advantages and disadvantages in specific areas of passenger service and the improvement of service quality in the future.

Chemical Composition, Antioxidant and Cytoprotective Activities of Lotus Receptacle

Weicheng Hu,Gongcheng Wang,Ting Shen,Yuning Wang,Boran Hu,Xinfeng Wang,Lei Wu,Pengxia Li,Lilian Ji 한국원예학회 2015 Horticulture, Environment, and Biotechnology Vol.56 No.5

The nutritional composition (ash, protein, fat, crude fiber, and carbohydrate) and antioxidant activity of lotus receptacles (LRs) were studied. The LRs contained 88.25% carbohydrates, 22.90% crude fiber, 5.79% crude ash, 0.77% crude protein content, and 5.19% crude lipid on a dry weight basis. The ethanolic extract of lotus receptacle (ELR) exerted strong scavenging effects on 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical, hydroxyl radical (•OH), superoxide anion (O2-), and hydrogen peroxide (H2O2), as well as high reducing power. ELR pretreatment effectively elevated cell viability and decreased malondialdehyde (MDA) levels in H2O2-treated RAW 264.7 cells. Additionally, ELR had high phenolic and flavonoid contents with values of 318.15 mg gallic acid equivalent/g and 239.06 mg rutin equivalent/g, respectively. Moreover, the bioactivity-guided study of ELR resulted in the isolation and identification of quercetin-3-O-β-D-glucopyranoside (QOG), a dietary flavonoid. QOG exhibited strong DPPH free radical scavenging activity, with an IC50 value of 24.26 μM; docking studies revealed that QOC formed one hydrogen bond with LYS263 in the active site, suggesting it is, in part, responsible for the free activity of LR.

Allocation of Residual Control Rights of a Public–Private Partnership Project based on 2-Tuple Linguistic Model

Hui Sun,Yuning Wang,Si Liu 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.11

A Public–Private Partnership (PPP) is an important model in which public sectors cooperate with private sectors to produce and provide public goods or services. However, due to the incompleteness of PPP contracts, the benefits and effects of PPP projects are often not achieved as expected. The key to improving the completeness of a PPP contract is its allocation of residual control rights. This paper proposes an evaluation index for the allocation of PPP residual control rights and develops a model of residual control rights allocation in PPP projects based on a 2-tuple linguistic model. The proposed model, demonstrated by using a real-life PPP project, can aid the public and private sectors in their allocation of residual control rights.

One-dimensional CNN Model of Network Traffic Classification based on Transfer Learning

Lingyun Yang,Yuning Dong,Zaijian Wang,Feifei Gao 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2

There are some problems in network traffic classification (NTC), such as complicated statistical features and insufficient training samples, which may cause poor classification effect. A NTC architecture based on one-dimensional Convolutional Neural Network (CNN) and transfer learning is proposed to tackle these problems and improve the fine-grained classification performance. The key points of the proposed architecture include: (1) Model classification--by extracting normalized rate feature set from original data, plus existing statistical features to optimize the CNN NTC model. (2) To apply transfer learning in the classification to improve NTC performance. We collect two typical network flows data from Youku and YouTube, and verify the proposed method through extensive experiments. The results show that compared with existing methods, our method could improve the classification accuracy by around 3-5%for Youku, and by about 7 to 27% for YouTube.

Experimental research on the collapse dynamics of the cavitation bubble near two spherical particles

Xiaoxiao Zheng,Xiaoyu Wang,Xuan Lu,Jin Yuan,Yuning Zhang,Yuning Zhang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.5

In this paper, the collapse dynamics of the cavitation bubble located in the middle position of two spherical particles of the same size are studied with the help of a high-speed photography experimental system. According to a large number of experimental results, the effects of several important parameters (the bubble size and the distance between the bubble and any particle) on the bubble collapse characteristics are revealed. For the process of the bubble collapse, four representative situations (gyro-shaped, drum-shaped, olive-shaped and spherical-shaped collapse) are defined, and three critical parameters of different situations are given based on the dimensionless distance between the bubble and any particle, which are 0.27, 1.17 and 1.56, respectively. Finally, through quantitative research, it is found that the dimensionless distance and the bubble size have a significant impact on the deformation degree of the bubble and the contractive rates at the characteristic bubble wall positions.

An Optimal Investment Portfolio for BOT Freeway Projects from the Perspective of Transportation and Construction Enterprises

Hui Sun,Yingzi Liang,Yuning Wang,Xiangcheng Liu,Jidong Chen 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.10

Build-Operate-Transfer (BOT) plays a significant part in promoting the construction of freeways. Due to the long construction period and large investment, many uncertain factors affect the inputs, outputs, and returns of freeway projects during the construction and operation periods. For project investments, funds, returns, risks, and other relevant factors of the projects should be considered, evaluated, and balanced. This paper presents the perception of net present value (NPV) at risk to solve the uncertain financing parameters of BOT freeway project. This paper analyses the critical indicators of BOT project investment, and establishes an investment portfolio decision-making model for BOT freeway projects to maximize the NPV of the project portfolio. Based on the proposed model, this paper calculates the optimal investment portfolio with real constraints from financial perspective. At last, an investment portfolio case study is also provided to test the proposed model.

Construction of Eukaryotic Vector Expressing shRNA of Lycopene Cyclase Gene carRA

( Ye Li ),( Lihua Jin ),( Qing Wei ),( Xiaojie Wang ),( Bo Li ),( Yuning Zhang ),( Liqing Zhang ) 조선대학교 공학기술연구원 2012 공학기술논문지 Vol.5 No.2

To construct eukaryotic vector expressing shRNA (short hairpin RNA) of carRA. Methods: Designing three different shRNA targeting the coding sequence of the car RA, the mU6-carRA shRNA was constructed by inserting the designed shRNA to the eukaryotic expression vector mU6pro. The constructed eukaryotic vector expressing shRNA of carRA was transformed into DH5 strain. Finally, the recombinant plasmid identified by restriction endonuclease was used for sequence analysis. Results: It was verified by partial nucleotide sequencing and restriction endonuclease digestion that the constructed eukaryotic vector expressing shRNA of carRA was correct. Conclusion: The results of study lay the foundation for further studying on its inhibitive effect on cycling of lycopene.