Noninvasive blood glucose monitoring system based on near-infrared method

Diabetes is considered one of the life-threatening diseases in the world which need continuous monitoring to avoid the complication of diabetes. There is a need to develop a non-invasive monitoring system that avoids the risk of infection problems and pain caused by invasive monitoring techniques. This paper presents a method for developing a noninvasive technique to predict the blood glucose concentration (BCG) based on the Near-infrared (NIR) light sensor. A prototype is developed using a finger sensor based on LED of 940 nm wavelength to collect photoplethysmography (PPG) signal which is variable depending on the glucose concentration variance, a module circuit to preprocess PPG signals is realized, which includes an amplifier and analog filter circuits, an Arduino UNO is used to analog-to-digital conversion. A digital Butterworth filterer is used to remove PPG signal trends, then detect the PPG data peaks to determine the relationship between the PPG signal and (BCG) and use it as input parameters to build the calibration model based on linear regression. Experiments show that the Root Mean Squares Error (RMSE) of the prediction is between 8.264mg/dL and 13.166 mg/dL, the average of RMSE is about 10.44mg/dL with a correlation coefficient (R^2) of 0.839, it is observed that the prediction of glucose concentration is in the clinically acceptable region of the standard Clark Error Grid (CEG)

MPPT Fuzzy Logic Control of a Variable Speed Wind Turbine

This work is focused on the control of a wind turbine system based on (PMSG). In order to enhance the efficiency of the wind turbine system, the maximum power point tracking (MPPT) control is applied to exploit the maximum power from the wind. The Fuzzy Logic controller (FLC) has been proposed and developed for the speed control. The simulation results show good performances of this control

Deconstructing the linguistic features of hybrid text-based online social network communication among Algerian Facebook users: A case study

This paper aims at dissecting the foremost innovative linguistic features that characterize the hybrid text-based online social network communication of some Algerian Facebook users. It also seeks to emphasize the role of computer-mediated communication, mainly social networking sites (SNSs), in the modernization of stigmatized informal language varieties as in the case of Algerian Dialectal Arabic (ADA). To achieve this, a qualitative research approach, in which both the researcher’s long-term participant observation and a descriptive content analysis of a corpus of 30 hybrid text-based Facebook posts, is adopted for investigation. Moreover, the relevant data was collected from a virtual Facebook group community that was chiefly created by some younger Algerian EFL students at Ibn Khaldoun University of Tiaret in Algeria in order to share information related to their studies. Interestingly, the findings of our case study revealed that the ADA is linguistically accommodated to some nonstandard and unconventional spellings of hybrid informal writing such as transliteration in its two forms, the use of distinctive signs such as numbers for some letters, the partial and/or full removal of vowel sounds for shortenings, the occurrence of written code switching/mixing and loanwords, and deficiency in using punctuation marks. Ultimately, the research ends with some recommendations for future research in the domain of text-based online communication with reference to the sociolinguistic situation in Algeria

Steroid sulfatase activity in homogenates, microsomes and purified Leydig cells from adult rat testis

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