Research on the Evaluation of Economy Class Service Quality Based on Customer Satisfaction of MU Airlines

The airline industry, characterized by intense competition and evolving customer expectations, necessitates continuous evaluation of service quality to sustain competitive advantage. This study focuses on China Eastern Airlines (MU Airlines) economy class service, examining the critical link between service attributes and customer satisfaction to identify areas for improvement. The research is motivated by the need to address persistent gaps in service delivery, particularly in economy class cabins, where cost-efficiency measures may inadvertently compromise passenger experience. By analyzing customer perceptions, this study aims to provide actionable insights for enhancing service quality while balancing operational constraints. The theoretical framework integrates the SERVQUAL model and customer satisfaction theory, emphasizing five dimensions of service quality: tangibles, reliability, responsiveness, assurance, and empathy. A mixed-methods approach combining quantitative surveys (n=500 economy class passengers) and qualitative interviews (n=20) was employed. The survey instrument, validated through pilot testing, measured satisfaction across 20 service attributes, including seat comfort, in-flight entertainment, cabin crew professionalism, and meal quality. Data collection spanned three months, covering domestic and international flights, to ensure representativeness. Thematic analysis was applied to interview transcripts to contextualize quantitative findings. Results reveal significant discrepancies between passenger expectations and perceived service performance. Key dissatisfaction drivers include inadequate seat pitch, inconsistent meal quality, and delays in cabin service. Conversely, crew politeness and on-time departures emerged as strengths. The study proposes a prioritized improvement agenda: (1) optimizing seat design through partnerships with ergonomic specialists, (2) standardizing catering quality via supplier audits, and (3) implementing crew training focused on proactive service recovery. A 12-month implementation timeline is recommended, with quarterly reviews to track progress. By aligning service enhancements with passenger priorities, MU Airlines can enhance loyalty, reduce churn, and position itself as a leader in economy class service excellence. This research contributes to both theoretical understanding of airline service quality and practicalstrategies for operational improvement

Numerical and Experimental Studies of Blocked Force Determination on an Offset Interface for Plate and Shell Structures and Duct Acoustic Systems

Blocked force determination is an alternative to the more routine method of inverse force determination using classical transfer path analysis. One advantage of determining blocked forces is that there is no need for the source to be detached or isolated from the system. Another advantage is that calculated blocked forces are appropriate when modifications are made on the receiver side of the interface. This insures that the blocked forces are suitable for utilization in analysis models where receiver system modifications are considered. Difficulties in using the approach arise when interface locations are difficult to instrument. This thesis demonstrates that blocked forces may also be determined along a continuous interface offset from bolted connections or isolators making the method more convenient to use. This offset interface strategy is demonstrated for plate and shell structures using both simulation and measurement. Recommendations are made for selecting the number of forces and blocked force locations along this offset interface. The number of blocked forces required will be prohibitive at higher frequencies since the structural wavelength is inversely proportional to the square root of frequency. An uncorrelated blocked force method is applied at high frequencies and the predicted results are validated for different structural systems. It is shown that predicted results in one-third octave bands are accurate using the uncorrelated assumption, and that uncorrelated forces can be used to predict the effect of modifications on the receiver side of the interface. Similar approaches are then used for the analogous acoustic case where acoustic blocked sources are positioned on a cross-sectional plane inside a duct. It is demonstrated that correlated and uncorrelated assumptions can be used to predict the sound pressure level downstream of the source at low and high frequencies respectively. This is the case even if the duct system downstream of the cross-sectional plane is modified. The approach seems promising for simulating acoustic sources in heating, ventilation, and air conditioning ducts above the plane wave cutoff frequency

Microprocessor Design with Dynamic Clock Source and Multi-Width Instructions

This paper introduces a novel 32-bit microprocessor, based on the RISC-V instruction set architecture, is designed,utilising a dynamic clock source to achieve high efficiency, overcoming the limitations of hardware delays. In addition, the microprocessor is also aimed to operate with both base (32-bit) instructions and 16-bit compressed instructions. The testing of the design is carried out using ModelSim with an ideal result

Facial Expression Retargeting from Human to Avatar Made Easy

Facial expression retargeting from humans to virtual characters is a useful technique in computer graphics and animation. Traditional methods use markers or blendshapes to construct a mapping between the human and avatar faces. However, these approaches require a tedious 3D modeling process, and the performance relies on the modelers' experience. In this paper, we propose a brand-new solution to this cross-domain expression transfer problem via nonlinear expression embedding and expression domain translation. We first build low-dimensional latent spaces for the human and avatar facial expressions with variational autoencoder. Then we construct correspondences between the two latent spaces guided by geometric and perceptual constraints. Specifically, we design geometric correspondences to reflect geometric matching and utilize a triplet data structure to express users' perceptual preference of avatar expressions. A user-friendly method is proposed to automatically generate triplets for a system allowing users to easily and efficiently annotate the correspondences. Using both geometric and perceptual correspondences, we trained a network for expression domain translation from human to avatar. Extensive experimental results and user studies demonstrate that even nonprofessional users can apply our method to generate high-quality facial expression retargeting results with less time and effort.Comment: IEEE Transactions on Visualization and Computer Graphics (TVCG), to appea