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It is challenging to maintain normoglycemic range of glucose concentration in type I diabetic patients. In this study H` control is applied for insulin delivery to prevent the hyperglycemic levels in a type I diabetic patient. From a control theory point of view, the blood glucose regulation problem is reformulated as a tracking one. A glucose tolerance curve (GTC) validated from several patients is used as reference model. Intra-and inter-patient variability poses a challenging task to control blood glucose concentration in diabetic patients. We develop a data based robust controller to control blood glucose concentration in type I diabetic (TIDM) patients in the presence of meal disturbances under patient-model mismatch. Simulation studies are performed on the diabetic patient model under feedback control. It is seen that the proposed control strategy is able to control blood glucose concentration well within the acceptable limits and also compensate for slow parametric drifts.

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Safety critical control systems are used in situations where the failure of a control system due to sensor failure or actuator failure will lead to a loss of life, property or cause environmental harm. A helicopter system really needs a safety critical or reliable control system which faces a lot of turbulent conditions and is expected to perform well, being stable in the case of sensor or/and actuator failures. Also the helicopter system is difficult to model mathematically due to non-linearity and cross coupling. The Twin Rotor MIMO System (TRMS) resembles the helicopter system in behaviour with significant cross coupling between the longitudinal and lateral axes. In this paper an H infinity observer and H infinity controller for a Twin Rotor MIMO System is aimed to be designed which will be reliable in the case of sensor failure or actuator failure also in case of sensor failure and actuator failure.

Breast Thermography is an emerging medical imaging tool, used for early detection of breast cancer. The growing tumor in the breast will cause the occurrence of some asymmetric heat patterns in the left and right breast. Asymmetry analysis of left and right breast is used for detecting the breast cancer from the breast thermogram images. This paper presents a method for segmenting the left and right breast from breast thermogram images using Projection Profile Approach. Horizontal Projection Profile (HPP) method is used for locating the lower and upper borders of the breast by detecting the inframammary fold and axilla curves of the breast respectively. Vertical Projection Profile (VPP) method is used for locating the left and right borders of the breast thermogram image, which detects the parabolic shape of the breast. The results of segmentation are satisfactory. Generalization of this method can be done for various types of breast thermogram images by standardizing the height, background and removal of the noise present in the image. 

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