sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...

nowadays diabetes disease is one of the main problems of health domain and it’s known as the fourth factor of death in the world. the main problem with this dangerous disease is the late or weak diagnosis. the reason of weak diagnosis is because sometimes doctors aren’t able to select the right patterns or they can’t use the standard patterns very well, so the outcome is that the disease will b...

we consider online scheduling of jobs with specic release time on m identical machines. each job has a weight and a size; the goal is maximizing total weight of completed jobs. at release time of a job it must immediately be scheduled on a machine or it will be rejected. it is also allowed during execution of a job to preempt it; however, it will be lost and only weight of completed jobs contr...

background: reported cases of uncontrolled use of pesticides and its produced effects by direct or indirect exposition, represent a high risk for human health. therefore, in this paper, it is shown the results of the development and execution of an algorithm that predicts the possible effects in endocrine system in fisher 344 (f344) rats, occasioned by ingestion of malathion. methods: it was re...

P system is a natural computing model inspired by behavior of living cells and their membranes. We show that (semi-)uniform families of P systems with active membranes can solve in polynomial time exactly the class of problems PSPACE. Consequently, these P systems are computationally equivalent (w.r.t. the polynomial time reduction) to standard parallel machine models as PRAM and the alternatin...

The bacterial type III secretion system is a specialized machine that injects effectors into eukaryotic cells to manipulate the host cell physiology. In this issue of Cell, Hu et al. use cryo-electron tomography to reveal an unprecedented level of details regarding the architecture of this machine and the conformational changes that occur during its assembly.

In this article we propose a simple model of a learning machine that evolves. When a classi cation problem is given, a Perceptron-like learning machine obtains a proper set of feature-detecting cells through mating, mutation, and natural selection. Computer simulation showed the expected results. This is one of our trials to approach the evolutionary system in the real world.

We describe a new and widely accessible approach to obtain human primary renal endothelial cells in standardized fashion, by isolating from the perfusate of machine-perfused donor kidneys. Characterization showed mixed population originating different compartments kidney. As proof principle, we demonstrated possible diagnostic application an endothelium-specific cross-match. Next transplantatio...

Objective(s): Tissue engineering represents a new approach to solve the current complications of the heart valve replacements by offering viable valve prosthesis with growth and remodeling capability. In this project, electrospinning and dip coating techniques were used to fabricate heart valve constructs from medical grade polyurethane (PU). Methods: Fir...

In the design of a cellular manufacturing system (CMS), one of the important problems is the cell formation in the form of machine grouping and parts family. This paper investigates an allocation of parts to common and specific cells; in such a way that each common cell is able to process all required parts. Further, this paper presents a mathematical programming model comprising such constrain...