Search results

Considering the problem that the high recognition rate of deep learning requires the support of mass data, this study aims to propose an insulating fault identification method based on small data set convolutional neural network (CNN).

Because of the chaotic characteristics of partial discharge (PD) signals, the equivalent transformation of the PD signal of unit power frequency period is carried out by phase space reconstruction to derive the chaotic features. At the same time, geometric, fractal, entropy and time domain features are extracted to increase the volume of feature data. Finally, the combined features are constructed and imported into CNN to complete PD recognition.

The results of the case study show that the proposed method can realize the PD recognition of small data set and make up for the shortcomings of the methods based on CNN. Also, the 1-CNN built in this paper has better recognition performance for four typical insulation faults of cable accessories. The recognition performance is improved by 4.37% and 1.25%, respectively, compared with similar methods based on support vector machine and BPNN.

In this paper, a method of insulation fault recognition based on CNN with small data set is proposed, which can solve the difficulty to realize insulation fault recognition of cable accessories and deep data mining because of insufficient measure data.

The balance patch is an important but not well studied area to maintain game fairness and improve player entertainment. In this paper, we examine the effect of balance patch on player's character preference and further explore the moderating effect of psychological distance and character selection pattern.

In study 1, a web crawler was used to get server-side data of 40, 974 multi-player online battle arena (MOBA) players through official application programming interfaces (APIs). A paired-T test and a stepwise regression were performed to verify the hypothesis. In study 2, a 2-patch type (buff vs nerf) × 2 psychological distance (near vs distant) × 2 character selection pattern (stable vs variable) between-subjects design was adopted to confirm the empirical conclusions through questionnaire survey design and further explored the mediating effect of patch adjustment perception.

The analyzed results showed that the buff patch led to an increase in players' character preference, while the nerf patch led to a decrease in players' character preference. Moreover, the main effect was mediated by patch adjustment perception. Furthermore, psychological distance and character selection pattern both moderated the relationship between balance patch and character preference changes. The character preference of the near psychological distance increased more significantly elicited by buff patches and decreased more significantly in an adverse situation. Similarly, players with variable selection pattern of characters were more sensitive to the stimuli, and the character preference of the variable group changed more significantly than that of the stable group caused by balance patch release.

This paper studies the influence of a patch on the balance of character strength on player preference, which expands the research on game balance and fairness. The present results contribute to the theoretical research on consumer behavior of psychological distance and character selection pattern elicited by balance patches. Meanwhile, the results indicate that psychological distance theory can apply to the study of the relationship between players and virtual characters.

This study aims to investigate the construal congruence of anthropomorphized brand roles and product messaging and its underlying mechanism on consumers' product attitude.

Four experimental studies were conducted to test the hypotheses. Study 1 investigated the framing effect of anthropomorphized brand roles (servant vs partner) in consumers' minds. Study 2 examined the matching effect of anthropomorphized brand roles and product messaging on product attitude. 132 students were randomly assigned to a 2 (anthropomorphized roles: servant vs partner) × 2 (product messaging: higher-level construal vs lower-level construal) between-subject factorial design. Study 3 tested the mediation effect of processing fluency underlying the construal congruence mechanism. Study 4 replicated the results of study 3 and further examined the boundary conditions by introducing product innovation locus as a moderator. A total of 218 students were randomly assigned to a 2 (anthropomorphized role: servant vs partner) × 2 (product messaging: higher-level construal vs lower-level construal) × 2 (innovation locus: core innovation vs peripheral locus) between-subjects design experiment.

The results demonstrate that a construal match between product messaging and anthropomorphized brand roles –anthropomorphized “servant” with higher-level construal messaging and anthropomorphized “partner” with lower-level construal messaging – can positively influence consumers' attitude via enhanced processing fluency. Furthermore, this construal matching effect on product attitude is moderated by the innovation locus of the product.

This study reveals that anthropomorphized brand roles with compatible product messaging in the associated construal levels lead to more favorable product attitudes. Furthermore, the matching effect of anthropomorphized brand roles and product messaging is stronger for products with peripheral innovation than with core innovation.

Our study contributes to the literature in two ways. First, it provides new insights into the construal matching effect of anthropomorphized brand roles and product messaging. Second, it investigates the boundary conditions of the above-mentioned construal fit mechanism.

The purpose of this paper is to demonstrate the relationship between internal audit functions (IAF) and financial reporting quality (FRQ) and whether such a relationship is moderated by senior management support (SMS) in listed companies in Nigerian Stock Exchange (NSE).

This research is a cross-sectional study, using primary data in the form of a survey sent to 175 listed companies in NSE. A total of 149 questionnaires have been collected and analysed out of which 97 were found to be useful and used in the final analysis.

The findings indicate a positive and significant relationship between internal audit qualities of work performed, internal control activities, coordination between internal and external auditors and FRQ and this finding was also supported by SMS as a moderator. However, the results show a negative and insignificant relationship between internal audit competency, organisational status and FRQ.

The findings support the assumption with regard to agency theory. The board should support the IAF to serve as an effective monitoring mechanism in minimising opportunistic management actions. Regulators should also ensure adequate structures that will strengthen the organisational status of the internal auditors to perform towards improving FRQ.

The study contributes to the existing literature by assessing the effect of IAF on FRQ as moderated by SMS.

For measuring the effect of crop root content on soil water retention curves (SWRC), a simulation approach (multi-gene genetic programming (MGGP)), which develops the model structure and its coefficients automatically can be applied. However, it does not perform well due to two vital issues related to its generalization: inappropriate formulation procedure of the multi-gene model and the difficulty in model selection. The purpose of this paper is to propose a heuristic-based-MGGP (N-MGGP) to formulate the functional relationship between the water content and two input parameters (soil suction and volumetric crop root content).

A new simulation approach (heuristic-based-MGGP (N-MGGP)), was proposed to formulate the functional relationship between the water content and two input parameters (soil suction and volumetric crop root content). The proposed approach makes use of a statistical approach of stepwise regression and classification methods (Bayes naïve and artificial neural network (ANN)) to tackle the two issues. Simulated data obtained from the models was evaluated against the experimental data.

The performance of proposed approach was found to better than that of standardized MGGP. Sensitivity and parametric analysis conducted validates the robustness of model by unveiling dominant input parameters and hidden non-linear relationships.

To the best of authors’ knowledge, an empirical model is developed that measures the effect of crop root content on the SWRCs. The authors also proposed a new genetic programming approach in simulating the crop root content dependent SWRCs.

In the face of major disasters, the Chinese people's willingness to donate has increased and the result is that the donation paths have increased. However, there are certain differences in the choice of donation paths for different types of individuals. It is crucial to pay more attention to the attitude and donation path selection of donors and propose strategies to promote individual donation behavior. The purpose of this study is to propose a conceptualized moderated mediation model for testing the linkage between individual attitude and donation path selection through the mediating effect of donors' behavioral intention and the moderating effect of behavioral difficulty perception or social pressure between donors' attitude and their donation path selection.

Based on a questionnaire survey of 628 community workers during COVID-19 in China. Self-reported measures were used to obtain data on IA, BI, SP, BDP and DPS. Survey data were used to test the proposed model using hierarchical regression analysis. Mediation analyses with bootstrap via PROCESS were used to ascertain the proposed relationship.

The results showed that individual attitude are positively related to donation path selection. Moreover, this study finds that behavioral intention serves as a mediator in the relationships between individual attitude and donation path selection. The social pressure and behavioral difficulty perception negatively moderate the relationship between individual attitude and behavioral intention.

There are still some shortcomings in this study: First, although the data collected at multiple points in this study are all individual data. Future research can add evaluations of relatives, friends or colleagues to individual scheduling of survey subjects to reduce homology errors. Second, although this study has verified the mediating role of the opposite sex, some of the mediating results show that there may be other variables that play a role in the relationship between individual attitudes and donation path selection. In the research on path selection, the integrated theoretical perspective has rich connotations but has not attracted enough attention from the academic community. This research is only based on this single theoretical perspective to construct, verify and explain the model, and there should be other integrated theories. The fit point can be used to analyze the influence mechanism of individual attitudes on the choice of donation path.

First of all, we must deepen our understanding of the connotation and role of individuals' attitudes. In the event of a major epidemic, the following two types of measures will be taken to improve individuals' attitudes toward specific donation paths: First, the sponsors of each donation should do their best to donors and provide more information about donations, because the more information resources they have, the stronger the experience of the corresponding donation path, and the more they will choose the path. The sponsor of the second donation must show concern for major epidemics that are prone to occur and a desire to help people affected by disasters, so as to enhance the emotional identity of the donor, thereby increasing the probability of the donor choosing a specific donation path. Secondly, donation sponsors should be wary of the negative influence of social pressure on the donation path selection of individual donors. Donation sponsors can train individuals who are willing to donate, guide them in social relations, online public opinion and other pressure methods and improve the possibility of individuals choosing specific donation routes.

Deepen the understanding of the content and effectiveness of the behavioral difficulty perception that has a profound impact on the donor. The greater the tendency to make a path choice is often affected by the individual's perception of the difficulty of behavior. The perception of difficulty of a certain donation path will cause the individual to retreat and inhibit the possibility of the individual choosing the path. Therefore, donation sponsors should take all measures to make their own donation channels simpler and more efficient, thereby reducing the individual's perception of the difficulty of donation behavior.

Drawing on TPB theory, a theoretical framework is constructed that specifies the process through which individual attitude affects donation path selection to expand collective understandings of individual attitude in the donation context. Furthermore, the boundary conditions of the underlying process are investigated, which further enhances the contribution of this paper to the extant literature on individual attitude.