A fuzzy-based prediction approach for blood delivery using machine learning and genetic algorithm

Multiple diseases require a blood transfusion on daily basis. The process of a blood transfusion is successful when the type and amount of blood is available and when the blood is transported at the right time from the blood bank to the operating room. Blood distribution has a large portion of the cost in hospital logistics. The blood bank can serve various hospitals; however, amount of blood is limited due to donor shortage. The transportation must handle several requirements such as timely delivery, vibration avoidance, temperature maintenance, to keep the blood usable. In this paper, we discuss in first section the issues with blood delivery and constraint. The second section present routing and scheduling system based on artificial intelligence to deliver blood from the blood-banks to hospitals based on single blood bank and multiple blood banks with respect of the vehicle capacity used to deliver the blood and creating the shortest path. The third section consist on solution for predicting the blood needs for each hospital based on transfusion history using machine learning and fuzzy logic. The last section we compare the results of well-known solution with our solution in several cases such as shortage and sudden changes

Priority-based parking system for university campus using IOT and CVRP

The significant increase of cars and the population growth due to urban area development are considered as a challenge for the smart city last years. Resulting to traffic congestion, especially in the parking lot. One of the city major impacted infrastructures is the university campus. A parking management system saves time and resolves the traffic congestion. However, the rapid growth inside the university is not taking into consideration by the current parking management system. Also, the universities and other institutions are a hierarchical organism and have a specific priority and roles to be respected for spaces which include parking lot. The current paper addresses the parking management system inside universities with respect of the requirements of institution and proposes architecture based on IoT system to insure the flowless of the traffic inside the university. Also, a hybrid VRP and MDVRP solution to provide a fair distribution of parking lots between different visitors while respecting the priorities