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<p>There are many free instant messengers available now which allow to communicate with friends with text, phone call, video, sharing of files, in group or not and keep contact with them even internationally. But only very few of the instant messengers have gained a popularity and attention. Recent studies have shown that the most popular instant messengers are WhatsApp, Viber and Telegram. Even, Facebook acquired WhatsApp due to have huge users. Viber is another messenger with many integrated features that allows the phone calls and sends the text messages for free and there is no subscription like WhatsApp. While Telegram offers the users an open-source platform with no ads, a clean fast interface, asks for no payments whatsoever and the biggest selling point is security. WhatsApp, Viber and Telegram which instant messenger is best? The popularity of Telegram has reached at the top of Google play store and become the most downloaded messaging app in the world today. But at the moment WhatsApp is still the winner!</p>

A dynamic overmodulation strategy for fast dynamic torque control in direct torque control (DTC)-hysteresis-based induction machine is proposed. The fastest dynamic torque response with a six-step mode can be achieved in the proposed method by switching only the most optimized voltage vector that produces the largest tangential component to the circular flux locus. This paper also discusses the performance of dynamic torque control in basic DTC in order to justify on how the proposed selected voltage vector results in excellent dynamic torque performance. The main benefit of the proposed method is its simplicity, since it only requires a minor modification to the conventional DTC-hysteresis-based structure and does not require a space vector modulator. To verify the feasibility of the proposed dynamic overmodulation strategy, simulation and experimentation, as well as comparison with the conventional DTC scheme, are carried out. Results showed a significant improvement in the dynamic torque response when compared to the conventional DTChysteresis-based method.

Heart diseases are among the nation’s leading couse of mortality and moribidity. Data mining teqniques can predict the likelihood of patients getting a heart disease. The purpose of this study is comparison of different data mining algorithm on prediction of heart diseases. This work applied and compared data mining techniques to predict the risk of heart diseases. After feature analysis, models by five algorithms including decision tree (C5.0), neural network, support vector machine (SVM), logistic regression and k-nearest neighborhood (KNN) were developed and validated. C5.0 Decision tree has been able to build a model with greatest accuracy 93.02%, KNN, SVM, Neural network have been 88.37%, 86.05% and 80.23% respectively. Produced results of decision tree can be simply interpretable and applicable; their rules can be understood easily by different clinical practitioner.

Abstract

<p>There are many free instant messengers available now which allow to communicate with friends with text, phone call, video, sharing of files, in group or not and keep contact with them even internationally. But only very few of the instant messengers have gained a popularity and attention. Recent studies have shown that the most popular instant messengers are WhatsApp, Viber and Telegram. Even, Facebook acquired WhatsApp due to have huge users. Viber is another messenger with many integrated features that allows the phone calls and sends the text messages for free and there is no subscription like WhatsApp. While Telegram offers the users an open-source platform with no ads, a clean fast interface, asks for no payments whatsoever and the biggest selling point is security. WhatsApp, Viber and Telegram which instant messenger is best? The popularity of Telegram has reached at the top of Google play store and become the most downloaded messaging app in the world today. But at the moment WhatsApp is still the winner!</p>

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