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.     

Customs Union and Gains from Trade Under Imperfect Competition: Variation of a Kemp-Wan Theme

In a world where firms are oligopolists, is it possible to create a customs union that raises the welfare of member countries without hurting non-member countries? We give sufficient conditions for an affirmative answer.     

Fiscal Coordination and Political Competition

This contribution investigates fiscal coordination in the framework of two countries asymmetric in respect of their capital–labor endowment. When tax policies are decided by majority voting inside each country, and they are not coordinated at a supranational level, factors of production are inefficiently allocated, at equilibrium. Our main result shows that fiscal coordination, via a minimum capital tax, does not always lead to a Pareto–improvement for the median voter's welfare, with respect to the noncooperative outcome.     

Spatial analysis of the U.S. lodging industry, 1963–1977

Data from the U.S. Department of Commerce Census of Business in 1963, 1972, and 1977 were compared on a state by state basis and by standard metropolitan statistical areas in order to analyze the spatial growth points of the U.S. lodging industry. The results point to major lodging growth areas in the Sunbelt states with central Florida, Las Vegas, Nevada and Hawaii as outstanding nodes of development. Metropolitan lodging growth has taken place in the Sunbelt cities with populations of 100,000 to one million, with above average growth in those cities located in the coastal zone.