The paper investigates the specificity of Linear Parameter Varying (LPV) modeling and robust controller design on a widely used Type 1 Diabetes Mellitus model. LPV systems can be seen as an extension of linear time invariant systems, which allows us to extend some powerful control methodologies to the highly nonlinear and uncertain models of the human metabolism. Different LPV models are proposed with their own advantages and disadvantages. The possible choices are separately analyzed for both controller and observer design perspective.

Abstract-Cloud infrastructure becomes the primary business environment for all types of enterprises during recent years. In cloud computing security is a fundamental concern, loss of control and potential lack of trust prevent large set of potential customers to immerse in the cloud world. One of the major key problem is how one can test, monitor or measure the underlying Cloud infrastructure from user/customer space. We have developed a solution which is able to examine the infrastructure, from security point-of-views. We offer a clear, adaptable, concise and easy-to-extend framework to assess the underlying cloud infrastructure. Our developed solution is generic and multipurpose it can act as a vulnerability scanner, and performance benchmarking tool at the same time. It is virtualized, it is agent based and collects assessment information by the decentralized Security Monitor and it archives the results received from the components and visualize them via a web interface for the tester/administrators. In this paper we present our virtualized cloud security monitor and assessment solution, we describe its functionalities and provide some examples of its results captured in real systems.

The paper gives a short system engineering review on the treatment of diabetes covering control engineering and mathematical modeling issues. The Artificial Pancreas (AP) concept is discussed together with the Intensive Care (ICU) idea for automatic treatment of diabetic patients. This highly interdisciplinary concept involves beyond medical sciences, control engineering and biomedical engineering knowledge. Having already developed continuous glucose sensor devices and highly performant insulin pumps, the automatic control concept could be an efficient solution for millions of people living with diabetes for accurate metabolic conditions management.

Abstract-The

Abstract-Cloud infrastructure becomes the primary business environment for all types of enterprises during recent years. In cloud computing security is a fundamental concern, loss of control and potential lack of trust prevent large set of potential customers to immerse in the cloud world. One of the major key problem is how one can test, monitor or measure the underlying Cloud infrastructure from user/customer space. We have developed a solution which is able to examine the infrastructure, from security point-of-views. We offer a clear, adaptable, concise and easy-to-extend framework to assess the underlying cloud infrastructure. Our developed solution is generic and multipurpose it can act as a vulnerability scanner, and performance benchmarking tool at the same time. It is virtualized, it is agent based and collects assessment information by the decentralized Security Monitor and it archives the results received from the components and visualize them via a web interface for the tester/administrators. In this paper we present our virtualized cloud security monitor and assessment solution, we describe its functionalities and provide some examples of its results captured in real systems.