We consider how to plan optimally in a testbed, multiagent expedition (MAE), by centralized or distributed computation. As optimal planning in MAE is highly intractable, we investigate speedup through partial evaluation of a subset of plans whereby only the intended effect of a plan is evaluated when certain conditions hold. We apply this technique to centralized planning and demonstrate signif...

Quantitative Breast Tomosynthesis Imaging: From Phantoms to Patients by Christina Mae Shafer Department of Biomedical Engineering Duke University Date:_______________________ Approved: ___________________________ Joseph Y. Lo, Supervisor ___________________________ Ehsan Samei ___________________________ Victoria L. Seewaldt ___________________________ W. Paul Segars ___________________________...

Magnetoacoustic emission (MAE) is a phenomenon where acoustic noise is generated due to the motion of non-180 ° magnetic domain walls in a ferromagnet with non-zero magnetostrictive constants. MAE has been studied extensively for many years [1-5] and has even been applied as an NDE tool for characterizing the heat treatment of high-yield low carbon steels [6-8]. A complete theory which fully ac...

INTRODUCTION In Thailand, according to the national nutrition survey of the Thai population who live in the cities by the Ministry of Public Health, about 12% of preschool children aged 1-6 years were malnourished. The rate of malnutrition is much higher among mountain minority ('hill tribe') children than city children. This paper reports a study of malnutrition, body composition and health co...

BACKGROUND Propolis is widely used in apitherapy, preparations, and food and beverage additives. Various extraction techniques were applied in the extraction of the biologically active constituents of poplar type propolis in order to compare their efficiency. The methods employed were: traditional maceration extraction, ultrasound extraction (UE), and microwave assisted extraction (MAE). RESU...

In this paper we describe a method to reuse models with Model-Based Subgroup Discovery (MBSD), which is a extension of the Subgroup Discovery scheme. The task is to predict the number of bikes at a new rental station 3 hours in advance. Instead of training new models with the limited data from these new stations, our approach first selects a number of pre-trained models from old rental stations...

The present approach to the MAE-based design of stack filters for image restoration does not always produce the desired visual result. Thus, in this paper, a new stack filter design algorithm is developed. It is based upon a Weighted Mean Absolute Error (WMAE) criterion instead of the traditional MAE criterion, which assigns the same weights to all errors. The weights in this WMAE criterion are...

In this paper we describe a method to reuse models with Model-Based Subgroup Discovery (MBSD), which is a extension of the Subgroup Discovery scheme. The task is to predict the number of bikes at a new rental station 3 hours in advance. Instead of training new models with the limited data from these new stations, our approach first selects a number of pre-trained models from old rental stations...