Defect Detection Using Unanimous Vote Among Mahalanobis Classifiers for Each Color Component

In manufacturing industries, product inspection is automated and the use of image data is increasingly being employed for defect detection. A manufacturing company in Japan produces an item and inspects the produced products using image data. Reducing the error rate is important in product inspection because poor inspection of products might lead to the delivery of defective products to consumers (consumer’s risk) and strict inspection increases production cost (producer’s risk). To reduce the error rate, we highlighted fault points using a two-dimensional moving range filter and discriminated defect production through a unanimous vote among Mahalanobis classifiers for each color component. For results, we achieved a lower error rate than the current system. This research is an empirical study of how to use image data in defect detection.     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.     

Mega-events as drivers of community participation in developing countries: The case of Shanghai World Expo

Within a wide body of literature it has been argued and demonstrated that community participation in tourism development is advantageous in terms of the sustainability and effectiveness of the development policies adopted. However, over time, doubts have been raised about whether community participation should take place in developing countries. There are major concerns regarding the immaturity and the incompliance of the political and social conditions of developing countries in relation to the requirements necessary for an effective participatory planning. In this paper, we argue that mega-events, due to their wide scope and the key role that large groups of stakeholders play in their success, may represent a driver for community participation in developing countries. In order to explore our idea, we will analyse tourism development and the planning of a mega-event within the Yangtze River Delta area, driven by the organisation and preparation of the Shanghai World Expo. According to our evidence, some initial elements of participative decision-making have indeed developed around the organisation of this mega-event, even though China has historically been considered refractory towards community participation. Finally, we discuss the findings in the light of existing knowledge to elicit significant questions about community participation in tourism development within developing countries and to address further research on this topic.