No abstract

In Service-Oriented Architectures (SOA), the key problem is the quick and accurate evaluation of web service performance. Despite the fact that the integration of the simulation step into the development cycle of softwares/web services can allow to learn early the behavior of the performance of software/web service, it is still a challenge to use simulation as part of service development. This integration can be used to assess the performance of a family of web services by developing one of them. In this paper, we propose a methodology that shows how the simulation step can be integrated to the development cycle of a family of services using a model-based approach to describe the services and by choosing a reference web service to be developed and used to guess the performance of the remaining services in the family.

The Internet of Things (IoT) is one of the major tools of the new era of digital transformation. Through the Internet of Things, we are looking forward to exploring the new technologies in the digital world and how they help in improving the real world. In this work, we provide an overview of the approach used to deploy a surveillance system for monitoring any indoor space in general and specifically for agricultural spaces. The entire process starts after motion detection by motion sensors using Machine Learning techniques. This requires coverage and response processing algorithms implemented in the electronic chain. The electronic part of the system relates to microcontrollers, sensors and communications between them. A mobile application has been created to allow competent authorities to receive alerts for real-time intervention with the aim of preventing the destruction of crops slaughtered near herds passage. We have introduced the monitoring system’s synoptic diagram and its operation along with the power modules description. Prototype has been designed and performance evaluation has been performed to show the system is responsive most of time.

Introduction: Traditional medicine has become an important component in the care system of African populations. Many products derived from it are increasingly used in the therapeutic arsenal. This work is an inventory of the production of these drugs in two countries of West Africa, Burkina Faso and Benin. Methods: A cross-sectional descriptive study that listed the drug manufacturing units producing medicines derived from the traditional pharmacopoeia (MDTP) identified by the health ministries in the two countries was carried out. Results: Thirty-three production facilities, including 10 in Burkina Faso and 23 in Benin, were surveyed. Seven units surveyed in Burkina Faso and 16 in Benin were illegally installed. Only 16 of the 33 units obtain their raw materials from botanical gardens. The rest obtain theirs through picking which is not favorable to the perpetuation of the plant resource. In addition, among the 1041 MDTPs manufactured by the units surveyed, only 1.44% are registered. Finally, shortcomings in applying good practices for harvesting raw materials and manufacturing finished products were noticed. Conclusion: Management and capacity building efforts of MDTPs production facilities by political authorities are still needed to optimize the contribution of traditional medicine to the health care of African populations.