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.     

A Meta-Analytic Examination of Realistic Job Preview Effectiveness: A Test of Three Counterintuitive Propositions

We present a model of realistic job previews (RJPs) and, using separate meta-analyses, examine three counterintuitive hypotheses about their operation. We found modest support for two of the three hypotheses. Findings indicate that RJPs reduce the rate of job acceptance among persons with prior exposure to the job and increase the rate of job acceptance among persons with no prior exposure to the job. Results also indicate that RJPs can be more effective in reducing turnover if the organization is able to restrict the exit of new employees for a period of time after the RJP. Finally, RJPs show a pattern of being more effective in reducing turnover after longer periods of time following administration of the RJP; however, this pattern failed to reach conventional significance levels.     

Structural models of complementary choices

This article reviews the rapidly growing literature on structural models of complementary choices. It discusses recent modeling developments and identifies promising areas for future research.     

Environmental degradation,self-protection choices and coordination failures in a North–South evolutionary model

Environmental degradation may lead agents to increase their work effort to replace the consumption of depleted free access environmental goods with that of private substitute goods. The rise in the activity level that follows may further deplete the environment, which in turn increases the production and consumption of substitute goods. Using a North–South evolutionary model, we show that the existence of a coordination failure among interacting heterogeneous agents may lead the economy towards Pareto-dominated attracting stationary states where individuals work and produce “too much” (i.e. more than socially optimal). Finally, we analyse possible welfare effects of transferring the environmental impact of Northern production to the South and show that such a policy may decrease welfare in both hemispheres.     

The relevance of personal characteristics in health care rationing: what the Australian public thinks and why

This article examines the preferences of the general public in Australia regarding health care resource allocation. While previous studies have revealed that the public is willing to give priority to particular groups of patients based on their personal characteristics, the present article goes beyond previous efforts in attempting to explain these results. In the present study, there was strong support among respondents for giving “equal priority” to people regardless of their personal characteristics. However, respondents did reveal a preference for married patients over single, for children over adults, for carers of children and the elderly, sole breadwinners, and good community contributors. Further, they would give a lower priority to those perceived as “self-harmers”—smokers, individuals with unhealthy diets, and those who rarely exercise. Variation in the answers according to broad economic and social beliefs across seven different categories (“factors”) influenced the pattern of the public's attitudes towards rationing. The Principal Components Analysis (PCA) indicated that most of the items in our survey are associated with seven factors that explain or capture much of the variation. These relate to a patient's avoidance of self-harm behaviors (Safe Living), their Life Style (diet, exercise, etc.), their contribution to the community through caring for others (Caring), their talents (Gifted), their sexual behavior (Sexuality), their age and marital status (Family), and whether they are an Australian citizen or employed (Citizen). The strength of social preferences—e.g., how strongly respondents would “discriminate” against a recreational drug user or preference a person with a healthy diet—is related to the particular class of preferences.