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Type II diabetes mellitus is characterized by both insulin resistance and β-cell failure. Although patients with type II diabetes mellitus are not initially dependent on insulin, the introduction of insulin therapy becomes one of the most effective methods of attaining good glycemic control. In this work, a proportional-integral-derivative (PID) controller is implemented to maintain normoglycemia...
This paper introduces the development of a web-based decision support system, to facilitate human factor studies regarding the use of changeable message signs (CMS). A microscopic traffic simulator VISSIM was used to generate realistic simulation scenarios with various CMS alternatives implemented. A case study for truck mounted changeable message sign on an urban multilane highway for ldquoright...
The pressure on marine renewable resources has rapidly increased over past decades. The resulting scarcity has led to a variety of different control and surveillance instruments. The dynamics of fish stocks are an important consideration in determining appropriate fishery management policy. Equally crucial are the dynamics of fishing effort. A variety of growth curves have been applied to model both...
Recruitment prediction is a key element for management decisions in many fisheries. A new approach using neural network is developed as a tool to produce a formula for forecasting fish stock recruitment. In order to deal with the local minimum problem in training neural network with back-propagation algorithm and to enhance forecasting precision, neural networkpsilas weights are adjusted by optimization...
In this paper we propose a state space model to predict failed companies based on Kalman filter theory which is creative in the field of finance. A Kalman filter is simply an optimal recursive data processing algorithm which is in the form of a set of equations that allows an estimate to be updated once a new observation becomes available. Given a set of parameters (mainly of financial nature) it...
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