Research of Evaluation Mechanism of Petrochemical Informatization Projects Based on AHPP

Feng’an Wen 보안공학연구지원센터 2014 International Journal of Hybrid Information Techno Vol.7 No.6

To address unreasonable planning process and imbalanced budget for informatization projects of petrochemical enterprises, this paper designs an informatization projects evaluation model. Analytic Hierarchy Process (AHP) is introduced to provide theoretical support. First, this paper conducts a hierarchical analysis to the decisive project factors in the informatization construction by constructing judgment set for the ladder-type hierarchical mode. Then, it calculates the weight for each factor and makes reasonable decision, which provides guidance to the implement of the informatization projects of petrochemical enterprises.

Investigation of Cu Interlayer on Joint Formation of Ti/Mg Bimetal Fabricated by Liquid–Solid Compound Casting Process

Fulin Wen,Jianhua Zhao,Kaiqing Feng,Miaowang Yuan,Dengzhi Zheng,Cheng Gu,Bei Xu 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.7

In this paper, TC4/AZ91D bimetallic composites has been prepared by liquid–solid compound casting process adaptingvarious thickness of Cu coating. The effects of Cu coating thickness on the evolution of interface microstructures and jointmechanical properties are investigated. The results indicate that metallurgical bonded joints are obtained with Cu coatingthickness ranging from 36.7 to 51.4 μm. With the increase of Cu coating thickness, the interface microstructure evolvesfrom δ-Mg + Mg2Cueutectic structure to Mg–Cu intermetallic compound (IMC) Cu2Mg+ Mg2Cuand Mg–Al–Cu ternaryintermetallic compound. The calculation results of formation enthalpy and chemical potential of Mg–Al–Cu system suggestthat Cu element prefers to react with Mg element and formed Mg–Cu IMC. In particular, when Cu coating thickness reaches36.7 μm, the average shear strength of the bimetal reaches a maximum of 65.3 MPa. Further increasing Cu coating thicknessleads to the generation of thick Mg2CuIMC layer and Mg2Cu+ Cu2Mgmixed IMC layer which are proved to be harmful tothe shear strength of TC4/AZ91D bimetals. All the fracture surfaces of the bimetallic composites exhibite to have a brittlefracture morphology. However, the fracture location is different with each other. For Cu coating thickness of 36.7 μm, theinterface fractures at the δ-Mg + Mg2Cueutectic structure, while the interface fractures at the Cu2Mg+ Mg–Al–Cu ternaryintermetallic layers when Cu coating thickness is 44.2 μm and 51.4 μm.

Association between PM2.5 exposure and risk of Parkinson’s disease in individuals with chronic obstructive pulmonary disease in Taiwan: a nested case-control study

Ci-Wen Luo(Ci-Wen Luo),Yu-Hsiang Kuan(Yu-Hsiang Kuan),Wen-Ying Chen(Wen-Ying Chen),Chun-Jung Chen(Chun-Jung Chen),Frank Cheau-Feng Lin(Frank Cheau-Feng Lin ),Stella Chin-Shaw Tsai(Stella Chin-Shaw Tsa 한국역학회 2023 Epidemiology and Health Vol.45 No.-

OBJECTIVES: This cohort study investigated the correlation between Parkinson’s disease (PD) risk and chronic obstructive pulmonary disease (COPD) risk under particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) exposure. METHODS: Data from the National Health Research Institutes of Taiwan were used in this study. The Environmental Protection Administration of Taiwan established an air quality monitoring network for monitoring Taiwan’s general air quality. COPD was indicated by at least 3 outpatient records and 1 hospitalization for COPD. After the implementation of age, sex, and endpoint matching at a 1:4 ratio, 137 patients and 548 patients were included in the case group and control group, respectively. Based on the 2005 World Health Organization (WHO) standards, monthly air particle concentration data were classified into the following 4 groups in analyses of exposure–response relationships: normal level, and 1.0, 1.5, and 2.0 times the WHO level ([concentration ≥2]×25 μg/m3×number of exposure months). RESULTS: A multivariate logistic regression revealed that the 1.0 and 1.5 WHO level groups did not significantly differ from the normal level group, but the 2.0 WHO level did (odds ratio, 4.091; 95% confidence interval, 1.180 to 14.188; p=0.038). CONCLUSIONS: Elevated PM2.5 concentrations were significantly correlated with an increased risk of PD among patients with COPD. Furthermore, exposure to high PM2.5 levels can further increase the risk of PD.

Chaotic dynamic characteristics of pressure fluctuation signals in hydro-turbine

Wen-Tao Su,Xiao-Bin Li,Chao-Feng Lan,Shi An,Jiansheng Wang,Feng-Chen Li 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.11

The pressure fluctuation characteristics in a Francis hydro-turbine running at partial flow conditions were studied based on the chaotic dynamic methods. Firstly, the experimental data of pressure fluctuations in the draft tube at various flow conditions was de-noised using lifting wavelet transformation, then, for the de-noised signals, their spectrum distribution on the frequency domain, the energy variation and the energy partition accounting for the total energy was calculated. Hereby, for the flow conditions ranging from no cavitation to severe cavitation, the chaos dynamic features of fluctuation signals were analyzed, including the temporal-frequency distribution, phase trajectory, Lyapunov exponent and Poincaré map etc. It is revealed that, the main energy of pressure fluctuations in the draft tube locates at low-frequency region. As the cavitation grows, the amplitude of power spectrum at frequency domain becomes larger. For all the flow conditions, all the maximal Lyapunov exponents are larger than zero, and they increase with the cavitation level. Therefore, it is believed that there indeed exist the chaotic attractors in the pressure fluctuation signals for a hydro-turbine.

A Self-adaptive Packet Scheduling Algorithm for Hybrid-traffic in Heterogeneous Wireless Networks

Wen Chen,Haixiang Yu,Wenbing Feng 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.6

Steel Bridge Construction of Hong Kong–Zhuhai–Macao Bridge

Wen-bo Gao,Quan-ke Su,Jin-wen Zhang,Hong-bing Xie,Feng Wen,Fang Li,Ji-zhu Liu 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.5

The 55-km-long Hong Kong–Zhuhai–Macao Bridge (HZMB) is the world’s longest sea-crossing bridge, connecting Hong Kong with Zhuhai and Macao at the mouth of the Pearl River Estuary in China, comprising 22.9-km-long steel bridges. HZMB is the leading steel bridge in China, with top-level manufacturing and installation technology. This paper outlines the steel bridge construction experiences of HZMB to provide comparisons for the construction of other long sea-crossing steel bridges at home or abroad. The main considerations of construction constraints, scheme selection, structural and aesthetic design of HZMB are presented, and the following points related to new strategies in the steel bridge construction of HZMB are elaborated: (1) construction quality assurance, (2) automatic manufacturing technology, (3) large segment off shore installation, (4) eco-friendly paint (content limitation of volatile organic compounds) and new multifunctional inspection gantry, and (5) Guss Mastic Asphalt steel deck pavement system. The successful implementation of those strategies shows that the steel bridge construction of HZMB promotes improvement in the overall construction and management level of the Chinese bridge industry. The advanced experience of HZMB has opened up broad prospects for the design and construction of off shore bridge engineering in China.

Quality of Life for Patients with Esophageal/Gastric Cardia Precursor Lesions or Cancer: A One-year Prospective Study

Wen, Ying,Pan, Xiong-Fei,Huang, Wen-Zhi,Zhao, Zhi-Mei,Wei, Wen-Qiang,Chen, Feng,Lan, Hui,Huang, He,Yang, Chun-Xia,Qiao, You-Lin Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.1

Background: The current study examined health-related quality of life (QoL) for patients with esophageal/gastric cardia precursor lesions or cancer before and after treatment to facilitate improved prevention and treatment. Materials and Methods: Patients with different stages of esophageal/gastric cardia lesions completed two QoL questionnaires, EORTC QLQ-C30 and supplemental QLQ-OES 18, before primary treatment, and at 1, 6 and 12 months after treatment. Results: Fifty-nine patients with precursor lesions, 57 with early stage cancer, and 43 with advanced cancer responded to our survey. Patients with precursor lesions or early stage cancer reported better QoL overall than those with advanced cancer before treatment (p<0.01). Global QoL scores before treatment and at 1 month after treatment were $71{\pm}9$ versus $69{\pm}9$ (p>0.01), $71{\pm}8$ versus $61{\pm}11$ (p<0.01), $67{\pm}11$ versus $62{\pm}9$ (p<0.01) for three stages of lesions. At 6 months after treatment, some QoL measures recovered gradually in precursor lesion and early cancer patients, while some continuously deteriorated in advanced cancer patients. At 12 months, all QoL scores were comparable to baseline for patients with precursor lesions (p>0.01), while global QoL, social, pain, and insomnia scores for early stage and advanced cancer were inferior to corresponding baseline levels (difference between means>5, p<0.01). At this time point, compared with patients with early stage cancer, those with advanced cancer showed worse QoL with all function and most symptom measures (p<0.01). Conclusions: Patients with precursor lesions or early stage esophageal/gastric cardia cancer show better QoL than those with advanced cancer. This indicates that screening, early diagnosis and treatment may improve the QoL for esophageal/gastric cardia cancer patients. Target intervention and counseling should be given by health care providers during treatment and follow-up to facilitate QoL improvement.

Real-time data driven deformation using kernel canonical correlation analysis

Feng, Wei-Wen,Kim, Byung-Uck,Yu, Yizhou Association for Computing Machinery 2008 ACM transactions on graphics Vol.27 No.3

Spatial regression and estimation of disease risks: A clustering‐based approach

Feng, Wenning,Lim, Chae Young,Maiti, Tapabrata,Zhang, Zhen Wiley Subscription Services, Inc., A Wiley Company 2016 Statistical analysis and data mining Vol.9 No.6

<P>Detection of clustering and estimation of incidence risks are important and useful in public health and epidemiological research. The popular spatial regression models for disease risks, such as conditional autoregressive (CAR) models, assume a known spatial dependence structure for the error distribution and a set of common regression parameters for the mean structure. While it is often difficult to justify the structural assumption on spatial dependence, the assumption on a common regression surface may not be practical for a large spatial domain. We conceptualize a study region as a union of spatially connected clusters where a cluster is composed of geographically adjacent regions. We propose a regression model with cluster‐wise varying regression parameters. Our model is able to capture a spatial clustering structure, while the corresponding cluster‐wise regression parameters are estimated given the estimated clustering configuration. The proposed model is flexible in terms of regional and global shrinking as well as the number of clusters, cluster memberships and cluster locations. We develop an algorithm based on the reversible jump Markov chain Monte Carlo (MCMC) method for model estimation. The numerical study shows effectiveness of the proposed methodology. The method is computationally efficient and thus amenable to <I>large</I> datasets. © 2016 Wiley Periodicals, Inc. Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016</P>

A New Multiobjective Genetic Algorithm for Route Selection

Wen, Feng,Gen, Mitsuo,Yu, Xinjie The Institute of Electrical Engineers of Japan 2011 電氣學會論文誌. IEEJ Transactions on Electronics, Informa Vol.131 No.3

<P>In the area of Intelligent Transport Systems, the multiobjective route selection problem (mRSP) becomes an important key problem that needs to be solved in car navigation system (CNS). In this paper, we propose an effective route selection approach for solving mRSP while minimizing driving distance, driving time and driving cost simultaneously. A new multiobjective genetic algorithm (moGA) called distance Pareto Genetic Algorithm (dpGA) is presented to effectively solve mRSP. The mechanism of the proposed dpGA guarantees good convergence toward the Pareto-optimal front and gives sufficient emphasis on the diversity feature. The fitness function used in dpGA is based on two kinds of distance values, <I>i.e.</I> Pareto distance and crowding distance. Finally, we demonstrate the applicability and evaluate the efficiency of the proposed solution approach by using numerical experiments with the real digital road map data. The experimental results show the effectiveness of the proposed solution approach.</P>