Ming Chuan University

About: Ming Chuan University is a education organization based out in Taoyuan District, Taiwan. It is known for research contribution in the topics: Tourism & Service quality. The organization has 2206 authors who have published 3205 publications receiving 52602 citations. The organization is also known as: MCU.

A Review on Conduction Mechanisms in Dielectric Films

Abstract: The conduction mechanisms in dielectric films are crucial to the successful applications of dielectric materials. There are two types of conduction mechanisms in dielectric films, that is, electrode-limited conduction mechanism and bulk-limited conduction mechanism. The electrode-limited conduction mechanism depends on the electrical properties at the electrode-dielectric interface. Based on this type of conduction mechanism, the physical properties of the barrier height at the electrode-dielectric interface and the effective mass of the conduction carriers in dielectric films can be extracted. The bulk-limited conduction mechanism depends on the electrical properties of the dielectric itself. According to the analyses of bulk-limited conduction mechanisms, several important physical parameters in the dielectric films can be obtained, including the trap level, the trap spacing, the trap density, the carrier drift mobility, the dielectric relaxation time, and the density of states in the conduction band. In this paper, the analytical methods of conduction mechanisms in dielectric films are discussed in detail.

Relationships and impacts of service quality, perceived value, customer satisfaction, and image: an empirical study

Abstract: In today's world of intense competition, satisfying customers is only the base line and may not be sufficient for survival. Management should focus on gaining customer loyalty by enhancing customer perceptions of service quality and increasing as perceived by the consumer value. Although previous studies have addressed the importance of service quality, satisfaction, perceived value, and image, the precise nature of the relationships that exist between these constructs and the understanding of their effect on customer behaviour still remains a key issue. This empirical study seeks to understand the relationships that exist between service quality and perceived value and how they impact customer satisfaction, corporate image, and behavioural intentions. The proposed model indicates that delivering high quality service and creating superior customer value can result in achieve high customer satisfaction, thus effecting the firm's corporate image, and ultimately leading to consumer retention.

Cluster-based under-sampling approaches for imbalanced data distributions

Abstract: For classification problem, the training data will significantly influence the classification accuracy. However, the data in real-world applications often are imbalanced class distribution, that is, most of the data are in majority class and little data are in minority class. In this case, if all the data are used to be the training data, the classifier tends to predict that most of the incoming data belongs to the majority class. Hence, it is important to select the suitable training data for classification in the imbalanced class distribution problem. In this paper, we propose cluster-based under-sampling approaches for selecting the representative data as training data to improve the classification accuracy for minority class and investigate the effect of under-sampling methods in the imbalanced class distribution environment. The experimental results show that our cluster-based under-sampling approaches outperform the other under-sampling techniques in the previous studies.