인플루언서의 특성이 콘텐츠 태도, 구매의도에 미치는 영향: 중국 MZ세대의 감정적 몰입 및 심리적 애착의 매개효과를 중심으로

Ming Fang,김준성 한국유통경영학회 2022 유통경영학회지 Vol.25 No.4

Purpose: This o bjective o f this s tudy is to e xa mine t he effects of influencer characteristics on content attitude and purchase intention targeting the MZ generation in China. In addition, this study investigates the mediating effect of emotional immersion and psychological attachment on the relationship between influencer characteristics, content attitude, and purchase intention. This study aims to suggest a direction for promoting Chinese social media and influencer marketing. Research design, data, and methodology: In order to achieve the purpose of the study, an online survey was conducted on the Chinese MZ generation, and 288 valid samples were finally analyzed, Descriptive statistics frequency analysis, factor analysis, and reliability analysis were performed using the SPSS 26.0 statistical package program, and regression analysis and mediating effect analysis were performed to verify the hypothesis. Results: First of all, the professionalism, attractiveness and reliability of influencers have a significant impact on content attitudes and purchase intentions; Second, influencer’s professionalism, attractiveness, and reliability all have a significant effect on emotional commitment and psychological attachment. Third, both emotional commitment and psychological attachment have a significant effect on content attitude, purchase intention. Fourth, the mediating effects of emotional immersion and psychological attachment between influencer characteristics, content attitudes, and purchase intentions were verified. Implications: If Influencers strengthen their professionalism, attractive, reliability and making MZ generation emotional immersion, psychological attachment on them, they can effectively promote the content attitude and purchase intention of subscribers.

Microbial Desulfurization of Dibenzothiophene and 4,6-Dimethyldibenzothiophene in Dodecane and Straight-Run Diesel Oil

Mingfang, Luo,Jianmin, Xing,Zhongxuan, Gou,Huizhou, Liu,Jiayong, Chen 한국화학공학회 2003 Korean Journal of Chemical Engineering Vol.20 No.4

The desulfurization of dibenzothiophene (DBT), 4,6-dimethyldibenzothiophene (4,6-DMDBT) and their mixture by lyophilized cells of Pseudomonas delafieldii R-8 was studied in the presence of dodecane. The desulfurization rate for 4,6-DMDBT was found to be about 40% in comparison with that for DBT. The desulfurization process for DBT and 4,6-DMDBT proceeded simultaneously without preference for either one. The desulfurization rate for each compound was decreased when they were mixed together. The extent of desulfurization of 4,6-DMDBT was increased with the increase of cell concentration and the decrease of the volume ratio of oil-to-water used. The specific desulfurization rate for 4,6-DMDBT could be reached to 10.4 mmol sulfur kg^(-1) (cell) h^(-1) [approximately 0.33 mg sulfur g^(-1) (cell) h^(-1)]. Pseudomonas delafieldii R-8 showed high desulfurization capability for straight-run diesel oil (containing 1,807 mg/L of sulfur). About 1,000 mg/L of sulfur in diesel oil was removed by resting cells of this strai in 24 h of reaction. The specific desulfurization rate was 8.75 mmol sulfur kg^(-1) (cell) h^(-1).

ANALYSIS OF HEATING AUGMENTATION MECHANISM IN HYPERSONIC DUST FLOW

Mingfang Mao,Zhangrong Xiong 대한기계학회 1992 International Conference on Fluid Machinery Vol.1 No.1

Choice in Language : Applications in Text Analysis

Mingfang Chen 아시아영어교육학회 2016 The Journal of Asia TEFL Vol.13 No.4

Reversible Multipurpose Watermarking Algorithm Using ResNet and Perceptual Hashing

Mingfang Jiang,Hengfu Yang 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.6

To effectively track the illegal use of digital images and maintain the security of digital image communicationon the Internet, this paper proposes a reversible multipurpose image watermarking algorithm based on a deepresidual network (ResNet) and perceptual hashing (also called MWR). The algorithm first combines perceptualimage hashing to generate a digital fingerprint that depends on the user’s identity information and imagecharacteristics. Then it embeds the removable visible watermark and digital fingerprint in two different regionsof the orthogonal separation of the image. The embedding strength of the digital fingerprint is computed usingResNet. Because of the embedding of the removable visible watermark, the conflict between the copyrightnotice and the user’s browsing is balanced. Moreover, image authentication and traitor tracking are realizedthrough digital fingerprint insertion. The experiments show that the scheme has good visual transparency andwatermark visibility. The use of chaotic mapping in the visible watermark insertion process enhances thesecurity of the multipurpose watermark scheme, and unauthorized users without correct keys cannot effectivelyremove the visible watermark.

Shadow Lane Robust Detection by Image Signal Local Reconstruction

Du Mingfang,Wang Junzheng,Li Nan,Li Duoyang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3

In order to resolve shadow interference and slow image processing speed in the visual navigation of unmanned vehicles on city roads, a new lane detection algorithm based on the Inverse Perspective Mapping(IPM) of vertical sub-image reconstruction using local bands was proposed. The lane’s IPM aerial image was obtained using the projective transformation of three-dimensional images of city roads. The ROI portion of the IPM map was decomposed and analyzed using the sym3 wavelet, and after analyzing and comparing the experimental results the first and second levels of the vertical sub images were selected for the reconstruction, compression, and removal of shadows from the original image. The Canny algorithm was proposed and adopted in order to extract the edge features of the reconstructed images according to real-time road image quality. A modified, polar angle, constraint-based, fast Hough transform was used to locate the candidate lanes. Finally, the main control point, straight-line-fitting algorithm was used to fit the final lanes, which achieved the precise location and recognition of the lane lines. The California Polytechnic lane data set, a public data platform, which is now widely used in road visual recognition fields around the world, was selected for the testing and verification of the algorithm. The results of the experiment and actual operation indicated that, despite having a storage space of approximately one tenth the size of similar algorithms, this detection algorithm effectively solves the issue of shadow removal, meets the real-time requirements of roadway image processing systems for unmanned vehicles with a recognition time of less than 20ms, and is robust.

Efficacy of lymph node dissection on stage IIICr of cervical cancer before CCRT: study protocol for a phase III, randomized controlled clinical trial (CQGOG0103)

Misi He,Mingfang Guo,Qi Zhou,Ying Tang,Lin Zhong,Qing Liu,Xiaomei Fan,Xiwa Zhao,Xiang Zhang,Gang Chen,Yuanming Shen,Qin Xu,Xiao-jun Chen,Yuancheng Li,Dongling Zou 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.3

Background: Cervical cancer is still present a major public health problem, especially in developing countries. In International Federation of Gynaecology and Obstetrics 2018, allowing assessment of retroperitoneal lymph nodes by imaging and/or pathological findings and, if deemed metastatic, the case is designated as stage IIIC (with r and p notations). Patients with lymph node metastases have lower overall survival (OS), progression free survival (PFS), and survival after recurrence, especially those who have unresectable macroscopical positive lymph nodes. Retrospective analysis suggests that there may be a benefit to debulking macroscopic nodes that would be otherwise difficult to sterilize with standard doses of radiation therapy. However, there are no prospective study reporting that resecting macroscopic nodes before concurrent chemoradiation therapy (CCRT) would improve PFS or OS of cervical cancer and no guidelines for surgical resection of bulky lymph nodes. The CQGOG0103 study is a prospective, multicenter and randomized controlled trial (RCT) evaluating lymph node dissection on stage IIICr of cervical cancer. Methods: Eligible patients are histologically confirmed cervical squamous cell carcinoma, adenocarcinoma, adeno-squamous cell carcinoma. Stage IIICr (confirmed by computed tomography [CT]/magnetic resonance imaging/positron emission tomography/CT) and the short diameter of image-positive lymph node ≥15 mm. 452 patients will be equally randomized to receive either CCRT (pelvic external-beam radiotherapy [EBRT]/extended-field EBRT + cisplatin [40 mg/m2] or carboplatin [the area under curve=2] every week for 5 cycles + brachytherapy) or open/minimally invasive pelvic and para-aortic lymph node dissection followed by CCRT. Randomization is stratified by status of para-aortic lymph node. The primary endpoint is PFS. Secondary endpoints are OS and surgical complications. A total of 452 patients will be enrolled from multiple hospitals in China within 4 years and followed up for 5 years.

Research on the calculation method of convection effects on three-dimensional dendritic growth based on LBM

Changsheng Zhu,Mingfang Zhu,Jieqiong Liu,Li Feng 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.10

By coupling the phase field model of dendrite growth with the Lattice Boltzmann method (LBM), a Phase field LBM model (PFLBM) that can simulate 3D dendrite non-isothermal growing from the under-cooled melt of a pure substance in forced flow has been established. Taking high-purity succinonitrile (SCN) as an example, the effects of flow on 3D dendritic growth were studied. The calculation efficiency of LBM and SOLA algorithm was compared under the same condition. The results show that, with the PF-LBM model, the effects of forced flow on 3D dendrite growth morphology and the dendrite asymmetric growth can be quantitatively modeled in large scale, and the dendrite growth is consistent with the crystallization theory. The LBM algorithm overcomes the weakness of a large amount of calculation and slow computation speed that exists in the traditional algorithm, and it achieves a speedup of 11.7 when the calculation region size is 200 3 .

Prescribed performance model-free adaptive terminal sliding mode control for the pneumatic artificial muscles elbow exoskeleton

Zhirui Zhao,Lina Hao,Mingfang Liu,Haoze Gao,Xing Li 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.7

This paper focuses on the trajectory tracking issue of the pneumatic artificial muscle (PAM) exoskeleton system. First of all, a new type of the PAM elbow exoskeleton was introduced to assist wearers in elbow flexion/extension movement. Moreover, a model-free adaptive control approach was combined with the prescribed performance control to ensure the tracking errors to be converged to the predefined requirements. Meanwhile, to suffer the influence of the unknown external disturbance on the exoskeleton, a terminal sliding mode control was adopted to reduce the tracking errors. From a theoretical perspective, the stability of the proposed controller can be proved by Lyapunov synthesis. After two sets of experiments, the proposed control method can further improve the tracking accuracy in the PAM elbow exoskeleton, compared with the other three model-free adaptive control methods. Simultaneously, the maximum absolute value of the tracking errors never exceeded the designed boundary.

Applying Fuzzy Synthetic Evaluation Approach to Risk Assessment of Large-scale Activities

Zheng Jianhu,Huang Mingfang 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.8

Because of the complex and massive risk factors of a large-scale activity, it is difficult to assess the risk level for such activities with an accurate numerical value. Therefore, a fuzzy linguistic based approach was proposed to evaluate the risk level of large-scale activities. Taking Jay Chou’s concert in 2016 as a case study, a hierarchy structure for risk assessment index system was built from the interviews with experts and literatures, which contain 14 risk factors in 4 groups. A five-point scale linguistic term was designed for the experts to evaluate the risk level of risk factors, and a fuzzy synthetic assessment model was adopted to present the procedures of risk assessment. The results reveal that the top risk factor is “safety education” and the top risk group is “management”, and the overall risk criticality (RC) is considered as middle. Based on the rank of RC both for risk factors and risk groups, some risk management strategies were suggested.