A study on measuring values from data stream used by the Particle Accumulation Theory

Methods of evaluating various subjective factors are needed in both the medical and industrial fields. For example reducing costs and shortening the duration of projects are significant issues in system development projects[1][2]. Thus prioritization is essential to meet budgets and schedules. Managers need to evaluate and begin tasks which can be completed with the current resources. In order to efficiently schedule entire projects, it is vital for all project staff to carefully consider their entire schedules in order to improve overall productivity. Evaluation is necessary in order to prioritize resources. To evaluate the appropriate priority of tasks, their urgency and difficulty are the most pertinent factors. However both urgency and difficulty are subjective, thus they are difficult to evaluate [3]. Recently, the medical fields both have been focused on increasing safety and patient-centeredness. Thus this paper introduces the Particle Accumulation Theory which is a tool to assist in the evaluation of resources. The purpose of the Particle Accumulation Theory is to simulate the mechanism of human pattern recognition, as in the synaptic responses of a neural network, through using simultaneous data streams. This paper introduces the possibility of simulating of human pattern recognition by using the Particle Accumulation Theory. The main purpose of this paper is to explain the Particle Accumulation Theory method of evaluating various subjective factors.