Electromyography (EMG) measures muscle response or electrical activity produced by skeletal muscle and the signals can be used to analyze the different status of human body. The concept of Internet of Things enables objects to get accessed and get controlled over Internet. In this paper, we provide an application that utilizes muscle activities to control robotic arms. The system integrates IoT technology and EMG signals to develop this prototype. The bot is controlled over the Internet using android application and the robotic arm attached to the bot is controlled using the EMG signal generated from human.

An isocratic reversed-phase liquid chromatograpic assay method was developed for the quantitative determination of fenofibrate and rosuvastatin calcium in bulk and tablet dosage form. A Lichrosphere Select-B C8 (250x4.6mm & 5.0 mu m) column with a mobile phase containing Solution A (Milli-Q water has pH3.0 made by orthophosphoric acid): Methanol (20:80). The flow rate was 1.0 mL min(-1): 1.5 ml/min and the detection of fenofibrate and rosuvastatin calcium was carried out on absorbance detector at 254nm.The retention times was 12 min (rosuvastatin-3.40, fenofibrate-7.75). A linear response r(2) > 1.0 for fenofibrate in the range of 40-300 mu g/ml and r(2) > 0.9997 in the range of 2.8-21 mu g/ml for rosuvastatin calcium was observed. The proposed method was validated with respect to system suitability, specificity and selectivity, stability of analytical solutions linearity, accuracy, precision, and robustness. The method was successfully applied to the estimation of fenofibrate and rosuvastatin calcium in bulk and tablet dosage form.

Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms and some of the organizations which have adapted data mining technology to improve their businesses and found excellent results.