Connectivity-Based Garbage Collection is a new family of garbage collection algorithms that are based on potential object connectivity properties. Objects are placed into partitions based on a static connectivity analysis. When the program needs memory, the collector can choose a set of partitions to do a garbage collection on. This choice should maximize the expected benefit in reclaimed memor...

Cost-utility models are increasingly used in many countries to establish whether the cost of a new intervention can be justified in terms of health benefits. Health-state utility (HSU) estimates (the preference for a given state of health on a cardinal scale where 0 represents dead and 1 represents full health) are typically among the most important and uncertain data inputs in cost-utility mod...

Background and Objectives: One of the key issues in determining location for blood supply center is the design of blood supply chain. To minimize the cost of blood supply, the donors should be reached easily with appropriate distribution of blood and blood products to the hospital. The aim of this study was calculating of the optimal number and location of different various t...

Nowadays, Economic systems play an important role in environment's field. Along with the rapid change in global manufacturing scenario, environmental and social issues are becoming more important in managing any business. Increasing pressures and challenges to improve economic and environmental performance have been caused developing countries in generally in particular to consider and to start...

Examples are shown of protein crystallization in, and data collection from, solutions sandwiched between thin polymer films using vapour-diffusion and batch methods. The crystallization platform is optimal for both visualization and in situ data collection, with the need for traditional harvesting being eliminated. In wells constructed from the thinnest plastic and with a minimum of aqueous liq...

Consider a linear program where the cost coefficients are uncertain, for which we have a Bayesian prior. We can collect information to improve our understanding of these coefficients, but this may be expensive, giving us a separate problem of optimizing the collection of information to improve the quality of the solution relative to the true cost coefficients. We formulate this information coll...

A This paper describes the process planning techniques we developed for use in an Integrated Product and Process Design (IPPD) tool for the design and manufacture of microwave transmit/receive modules. Given a collection of data about the design of a microwave module, the IPPD tool uses a combination of AI planning and optimization-based tradeoff analysis to produce a collection of alternative ...

It is an important problem to determine the tenuring threshold to meet the pause time goal for a generational garbage collector. From such viewpoint, this paper proposes two stochastic models based on the working schemes of a generational garbage collector: One is random minor collection which occurs at a nonhomogeneous Poisson process and the other is periodic minor collection which occurs at ...