The Optimal Dynamic Infant Industry Protection in Joining a Free Trade Agreement: A Numerical Analysis of the Vietnamese Motorcycle Industry

This paper investigates the optimal dynamic paths of trade protection imposed on infant industries during the process of joining a free trade agreement. The framework is based on the dynamic learning-by-doing model developed in Melitz (2005), where industries are experiencing dynamic externalities. In this framework, restricted-time protection is introduced as a realistic approach to correspond to the conditions of actual agreements. According to the computational analysis, in some feasible cases of optimal tariff paths may not follow a downward trend, as conventional wisdom would suggest. The results of the numerical simulation applied to the Vietnamese motorcycle industry support these findings.dynamic externality, infant industry protection, numerical analysis, Vietnam

On the expected number of equilibria in a multi-player multi-strategy evolutionary game

In this paper, we analyze the mean number $E(n,d)$ of internal equilibria in a general $d$-player $n$-strategy evolutionary game where the agents' payoffs are normally distributed. First, we give a computationally implementable formula for the general case. Next we characterize the asymptotic behavior of $E(2,d)$, estimating its lower and upper bounds as $d$ increases. Two important consequences are obtained from this analysis. On the one hand, we show that in both cases the probability of seeing the maximal possible number of equilibria tends to zero when $d$ or $n$ respectively goes to infinity. On the other hand, we demonstrate that the expected number of stable equilibria is bounded within a certain interval. Finally, for larger $n$ and $d$, numerical results are provided and discussed.Comment: 26 pages, 1 figure, 1 table. revised versio

Voice Assistant for Improving Patient\u27s Lives: The Implementation and Case Study

Over the last few years, the adoption of voice assistants in IoT devices has experienced rapid growth as a result of advanced technology alongside the development of artificial intelligence. According to a survey conducted by Juniper Research, over 2.5 billion digital voice assistants were being used in devices around the world by the end of 2018. By 2023, the number is expected to triple to 8 billion. Voice assistants (VA) have integrated into and become a part of human’s modern life with the purpose of making things more accessible and easier to use, hence, improving the users’ living experience. VA is not only used for daily life tasks but is also integrated into the healthcare system along with IoT devices. Therefore, we propose a study on the impact and usage of VA in healthcare, especially as a personal assistant. Furthermore, we create an implementation and a case study on an IoT device with a custom voice assistant, Amazon Alexa, for diabetic patients who use a non-invasive blood glucose monitoring system

Smart Voice Assistant for Diabetes Management with Non-Invasive IoT Software

Over the last few decades, the rapid growth of the Internet of Things (IoT) technology has been exponentially expanding and positively impacting different aspects of life. Alongside the innovations and developments of artificial intelligence, smart voice assistant (SVA) was invented and is widely used on a daily basis—controlling home automation, performing tasks such as playing music, accessing and checking information—to make people’s lives easier. Furthermore, SVA has also been integrated into and is used in healthcare, especially personal assistance for elderly patients. In this study, we first explored and surveyed the usages and impacts of SVA in healthcare and particularly for elderly diabetic patients. Then, we create an application to connect SVA to our developing diabetes management mobile application by using Python and Google Assistant. The fundamental purpose of our research is to apply and connect the present-day SVA to current mobile applications as well as uncover countless ways that SVA can impact not only people’s daily lives but also society