A fault prediction method for catenary of high-speed rails based on meteorological conditions

Fault frequency of catenary is related to meteorological conditions. In this work, based on the historical data, catenary fault frequency and weather-related fault rate are introduced to analyse the correlation between catenary faults and meteorological conditions, and further the effect of meteorological conditions on catenary operation. Moreover, machine learning is used for catenary fault prediction. As with the single decision tree, only a small number of training samples can be classified correctly by each weak classifier, the AdaBoost algorithm is adopted to adjust the weights of misclassified samples and weak classifiers, and train multiple weak classifiers. Finally, the weak classifiers are combined to construct a strong classifier, with which the final prediction result is obtained. In order to validate the prediction method, an example is provided based on the historical data from a railway bureau of China. The result shows that the mapping relation between meteorological conditions and catenary faults can be established accurately by AdaBoost algorithm. The AdaBoost algorithm can accurately predict a catenary fault if the meteorological conditions are provided. Document type: Articl

Towards personalized data-driven bundle design with QoS constraint

Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiativ

Bundling as a New Product Introduction Strategy: The Role of Brand Image and Bundle Features

Marketers can bundle an unknown brand with a strong brand as a new product introduction strategy. Drawing upon the categorization theory and the elaboration likelihood model, this study examines how a new brand can benefit from bundling with a strong brand. The results of two studies indicate that consumers’ quality perception of a new brand will be affected by the brand image of a bundle partner, and this effect is moderated by the bundle forms and the complementarity of bundle components. Academic and managerial implications of these findings are presented, along with suggestions for further research

Partitioning or Bundling? Perceived Fairness of the Surcharge Makes a Difference

Partitioned pricing charges a base price and a surcharge instead of an equivalent all-inclusive price. In contrast, a bundling strategy offers a bundled price instead of separate prices for products in one package. Which pricing practice is more profitable? Previous research has shown conflicting results. This research identifies the boundary conditions which circumscribe the profitability of partitioned and bundled pricing. Results of three experiments indicate that the relative significance of the surcharge to the base price influences consumers\u27 perception of the fairness of the surcharge, which in turn influences consumer purchase intentions. Furthermore, given the same level of surcharge, consumers\u27 perceptions of the fairness of the surcharge moderates the effect of the pricing strategies. Thus, perceived fairness of the surcharge appears to be the key in determining whether or not the partitioning strategy is more profitable than the bundling strategy

The Subjective Well-Being of Nations: A Role for Marketing?

In this study, the authors test a conceptual model that explains the subjective well-being (SWB) of nations. The authors include traditional predictors (e.g., human rights) and marketing variables (e.g., advertising expenditure, retailing indexes) in their model. They are especially interested to see to what extent marketing activities are associated with citizens\u27 welfare or happiness. Using data from fifty-five countries, the authors find that one marketing variable (advertising expenditure per capita) strongly correlates with SWB, while another (number of retail outlet per capita) does not show a strong relationship with SWB. However, the strong relation fades away when other e fects are partialed out. The authors\u27 model accounts for a large amount of variance in SWB. However, the e fect of marketing variables in a multivariate setting is not particularly strong

Motivating purchase of private brands: Effects of store image, product signatureness, and quality variation

This study examines the effects of intangible extrinsic cues on consumer quality perception and purchase intention of private brands. We find that store image and product signatureness enhance quality perception and purchase intention of private brands while quality variation reduces both outcomes. All effects of the three extrinsic cues on purchase intention are partially mediated by quality perception. In addition, consumer value consciousness strengthens the relationship between quality perception and purchase intention of private brands.Private brands Store image Product signatureness Quality variation Quality perception Purchase intention