To achieve a better energy-efficient and comfortable vehicle driving, electric vehicle energy predictive optimal control Bottle Pourer was discussed in this article.It used Vehicle to Infrastructure (V2I) communication of traffic light distance and time gap to make velocity decision in order to improve whole driving performance.Based on the data of
Modeling a cloud computing center is crucial to evaluate and predict its inner connectivity reliability and availability.Many previous studies on system availability/reliability assessment of virtualized systems consisting of singular servers in cloud data centers have been reported.In this paper, we propose a hierarchical modeling framework for th
Hepatic tuberculosis can manifest in various forms, including parenchymal, serohepatic, tuberculous cholangitis and mixed form.Isolated hepatic tuberculosis, specifically in the form of serohepatic tuberculosis, is very rare.Patients with hepatic tuberculosis often present with nonspecific symptoms such as abdominal pain, weight loss, night fever,
In this paper, an intrusion detection system is introduced that uses data mining and machine learning concepts to detect network intrusion patterns.In the proposed method, an artificial neural network (ANN) is used as a Towel Rack learning technique in intrusion detection.The metaheuristic algorithm with the swarm-based approach is used to reduce i