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Abstract-Diabetes mellitus is a chronic disease causing several side effects. The basis of conventional diabetes management is the blood glucose detection with glucometers. Another approach is the continuous glucose monitoring (CGM) that can be the solution for individual and optimal management of diabetes because it is less painful and inconvenient. Although there are several challenges with CGM which must be solved there are proofs of the usability and justification of using CGM systems. In this paper, we gave a short review of the basics, goals and methods of CGM systems.

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.

Abstract-The

The control of physiological systems is a highly demanding task. The requirements are strict and there is a little margin of error, since failure can directly endanger the patient's life. In the same time the performance of the available sensors and actuators are limited in most cases, leaving even higher burden on the control algorithm. Finally the models themselves, which can describe the biophysical and biochemical processes that are most significantly linked to the system we wish to regulate, are rather complex and nonlinear in nature. In general, linear model-based approaches are used, but linearization gives a first source of errors in the further development. The aim of this paper is to investigate two frequently used models describing the metabolism of the human body in case of Type 1 Diabetes Mellitus (T1DM) from nonlinear control perspective: the model presented by Magni et al. (2009) andHovorka et al. (2004). These models will be investigated using differential geometric approach for the first time.