One of the major tools of the new era of digital transformation is Internet of Things (IoT) through which, one can look forward to exploring the new technologies in the digital world as well as how they help in improving the real world. This work provides 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 relies on the microcontrollers, sensors and communications between them. A mobile application has been developed to allow competent authorities to receive alerts for real-time intervention with the aim of preventing the destruction of crops slaughtered near herds passage. The monitoring system' synoptic diagram and its operation along with the power modules description are introduced. Prototype has been designed and performance evaluation performed to show the system' responsiveness.
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.
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.
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