In this paper fuzzy logic principles are used to control the level and temperature of water in fish eggs breading tank. The control task aims to keep the water level and the water temperature in a tank within certain ranges, the temperature due to Newton’s law of cooling would drop down, and to keep it within limits, hot water is added, and cold water is drained. Sensors for temperature and level are used to give fuzzy input to the fuzzy controller which outputs the amount of opening in the two control valves.

With the metabolic syndrome and diabetes mellitus increase in the recent decade, the importance of early detection of insulin resistance is essential. However, a simple method is not currently available for precise measurements. Therefore the aim of this study was to elucidate the association of HbA 1c with metabolic syndrome as a constellation of cardiovascular risk factors. The study population consisted of 45 subjects with metabolic syndrome and 45 free of metabolic syndrome (control group).Total cholesterol, triglycerides, glucose, HbA 1c , body mass index (BMI), waist circumference (WC), systolic and diastolic blood pressure were measured in both groups. HbA 1c levels are found much more in MS group than the control group, 8,7% and 6,2%, respectively. The sensitivity and specificity of HbA 1c is significantly higher in metabolic syndrome patients, 86,7% and 46,67%, respectively. Additionally, subjects with metabolic syndrome exhibited significantly higher blood glucose, triglyceride, systolic/diastolic blood pressure and cholesterol. Our results suggest that HbA 1c may be a marker for metabolic syndrome and may identify in a certain degree insulin resistance subjects.